From 6d1616944d9efd342ed2a4fd318722adfc9febcd Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 4 Jun 2024 10:01:09 +0300
Subject: [PATCH 001/131] ggml : prevent builds with -ffinite-math-only (#7726)

This enforces a check that -fno-finite-math-only was set and that the operating
compiling mode is not in finite maths mode. This is because during rewriting of
silu and softmax for cpu #7154 there emerged an issue where the result that was
observed when >1 slot was nondeterministic as found by @JohannesGaessler.

@LostRuins narrowed the problem down to -ffinite-math-only which was theorised
to be due to SiLU, instead of flushing small values to 0, returns NaN or some
other garbage. @jart proposed a fix that @ggerganov then implemented in this fix

ref https://github.com/ggerganov/llama.cpp/pull/7154#issuecomment-2145661825
---
 cmake/arm64-windows-llvm.cmake | 2 +-
 ggml.c                         | 5 +++++
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/cmake/arm64-windows-llvm.cmake b/cmake/arm64-windows-llvm.cmake
index 46fba6514..802379680 100644
--- a/cmake/arm64-windows-llvm.cmake
+++ b/cmake/arm64-windows-llvm.cmake
@@ -9,7 +9,7 @@ set( CMAKE_CXX_COMPILER  clang++ )
 set( CMAKE_C_COMPILER_TARGET   ${target} )
 set( CMAKE_CXX_COMPILER_TARGET ${target} )
 
-set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast" )
+set( arch_c_flags "-march=armv8.7-a -fvectorize -ffp-model=fast -fno-finite-math-only" )
 set( warn_c_flags "-Wno-format -Wno-unused-variable -Wno-unused-function -Wno-gnu-zero-variadic-macro-arguments" )
 
 set( CMAKE_C_FLAGS_INIT   "${arch_c_flags} ${warn_c_flags}" )
diff --git a/ggml.c b/ggml.c
index 000d9db7e..8869e146a 100644
--- a/ggml.c
+++ b/ggml.c
@@ -2272,6 +2272,11 @@ inline static float ggml_silu_f32(float x) {
     return x/(1.0f + expf(-x));
 }
 
+#if __FINITE_MATH_ONLY__
+#error "some routines in ggml.c require non-finite math arithmetics -- pass -fno-finite-math-only to the compiler to fix"
+#error "ref: https://github.com/ggerganov/llama.cpp/pull/7154#issuecomment-2143844461"
+#endif
+
 #if defined(__ARM_NEON) && defined(__aarch64__)
 
 // adapted from arm limited optimized routine

From 3b38d48609280aa5f8ab7ea135a4351b2a5ee240 Mon Sep 17 00:00:00 2001
From: jaime-m-p <167997752+jaime-m-p@users.noreply.github.com>
Date: Tue, 4 Jun 2024 09:17:17 +0200
Subject: [PATCH 002/131] Per token attributes (#7685)

* Add per token attributes enum
* Using phi-3 for testing 'rstrip'
* Using jina-v2 for testing 'lstrip'
* Brute force test for 'lstrip' and 'rstrip'
* Implement 'rstrip' and 'lstrip'
* Update phi-3 GGUF file (obsolete since 917dc8c)
* Replace llama_token_type with llama_token_attribs
---
 llama.cpp                      | 149 +++++++++++++++++++++++----------
 llama.h                        |  18 +++-
 models/ggml-vocab-phi-3.gguf   | Bin 725846 -> 726019 bytes
 tests/test-tokenizer-random.py |  50 +++++++----
 4 files changed, 155 insertions(+), 62 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index b0bf70e20..a3e944874 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -2149,12 +2149,12 @@ struct llama_control_vector {
 struct llama_vocab {
     using id    = int32_t;
     using token = std::string;
-    using ttype = llama_token_type;
+    using tattr = llama_token_attr;
 
     struct token_data {
         token text;
         float score;
-        ttype type;
+        tattr attr;
     };
 
     enum llama_vocab_type     type     = LLAMA_VOCAB_TYPE_SPM;
@@ -4750,7 +4750,20 @@ static void llm_load_vocab(
         auto & token_data = vocab.id_to_token[i];
         token_data.text  = std::move(word);
         token_data.score = scores ? scores[i] : 0.0f;
-        token_data.type  = toktypes ? (llama_token_type) toktypes[i] : LLAMA_TOKEN_TYPE_NORMAL;
+        token_data.attr  = LLAMA_TOKEN_ATTR_NORMAL;
+
+        if (toktypes) {  //TODO: remove, required until per token attributes are available from GGUF file
+            switch(toktypes[i]) {
+                case LLAMA_TOKEN_TYPE_UNKNOWN:      token_data.attr = LLAMA_TOKEN_ATTR_UNKNOWN;      break;
+                case LLAMA_TOKEN_TYPE_UNUSED:       token_data.attr = LLAMA_TOKEN_ATTR_UNUSED;       break;
+                case LLAMA_TOKEN_TYPE_NORMAL:       token_data.attr = LLAMA_TOKEN_ATTR_NORMAL;       break;
+                case LLAMA_TOKEN_TYPE_CONTROL:      token_data.attr = LLAMA_TOKEN_ATTR_CONTROL;      break;
+                case LLAMA_TOKEN_TYPE_USER_DEFINED: token_data.attr = LLAMA_TOKEN_ATTR_USER_DEFINED; break;
+                case LLAMA_TOKEN_TYPE_BYTE:         token_data.attr = LLAMA_TOKEN_ATTR_BYTE;         break;
+                case LLAMA_TOKEN_TYPE_UNDEFINED:    token_data.attr = LLAMA_TOKEN_ATTR_UNDEFINED;    break;
+                default:                            token_data.attr = LLAMA_TOKEN_ATTR_UNDEFINED;    break;
+            }
+        }
     }
     GGML_ASSERT(vocab.id_to_token.size() == vocab.token_to_id.size());
 
@@ -4841,7 +4854,7 @@ static void llm_load_vocab(
     // build special tokens cache
     {
         for (llama_vocab::id id = 0; id < (llama_vocab::id)n_vocab; ++id) {
-            if (vocab.id_to_token[id].type != LLAMA_TOKEN_TYPE_NORMAL) {
+            if (!(vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_NORMAL)) {
                 vocab.cache_special_tokens.push_back(id);
             }
         }
@@ -4871,6 +4884,59 @@ static void llm_load_vocab(
 
         LLAMA_LOG_INFO("%s: token to piece cache size = %.4f MB\n", __func__, size_cache / 1024.0 / 1024.0);
     }
+
+    // Handle per token attributes
+    //NOTE: Each model customizes per token attributes.
+    //NOTE: Per token attributes are missing from the GGUF file.
+    //TODO: Extract attributes from GGUF file.
+    {
+        auto _contains_any = [] (const std::string &str, const std::vector<std::string> &substrs) -> bool {
+            for (auto substr : substrs) {
+                if (str.find(substr) < std::string::npos) {
+                    return true;
+                }
+            }
+            return false;
+        };
+
+        auto _set_tokenid_attr = [&] (const llama_vocab::id id, llama_token_attr attr, bool value) {
+            uint32_t current = vocab.id_to_token.at(id).attr;
+            current = value ? (current | attr) : (current & ~attr);
+            vocab.id_to_token[id].attr = (llama_token_attr) current;
+        };
+
+        auto _set_token_attr = [&] (const std::string & token, llama_token_attr attr, bool value) {
+            _set_tokenid_attr(vocab.token_to_id.at(token), attr, value);
+        };
+
+        std::string model_name;
+        std::string tokenizer_pre;
+
+        ml.get_key(LLM_KV_GENERAL_NAME, model_name, false);
+        ml.get_key(LLM_KV_TOKENIZER_PRE, tokenizer_pre, false);
+
+        // model name to lowercase
+        std::transform(model_name.begin(), model_name.end(), model_name.begin(),
+            [] (const std::string::value_type x) {
+                return std::tolower(x);
+            }
+        );
+
+        // set attributes by model/tokenizer name
+        if (_contains_any(tokenizer_pre, {"jina-v2-es", "jina-v2-de"})) {
+            _set_token_attr("<mask>", LLAMA_TOKEN_ATTR_LSTRIP, true);
+        } else if (_contains_any(model_name, {"phi-3", "phi3"})) {
+            for (auto id : vocab.cache_special_tokens) {
+                _set_tokenid_attr(id, LLAMA_TOKEN_ATTR_RSTRIP, true);
+            }
+            for (auto token : {"</s>"}) {
+                _set_token_attr(token, LLAMA_TOKEN_ATTR_RSTRIP, true);
+            }
+            for (auto token : {"<unk>", "<s>", "<|endoftext|>"}) {
+                _set_token_attr(token, LLAMA_TOKEN_ATTR_RSTRIP, false);
+            }
+        }
+    }
 }
 
 static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
@@ -12620,27 +12686,27 @@ static enum llama_vocab_type llama_vocab_get_type(const llama_vocab & vocab) {
 
 static bool llama_is_normal_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_NORMAL;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_NORMAL;
 }
 
 static bool llama_is_unknown_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_UNKNOWN;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_UNKNOWN;
 }
 
 static bool llama_is_control_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_CONTROL;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_CONTROL;
 }
 
 static bool llama_is_byte_token(const llama_vocab & vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_BYTE;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_BYTE;
 }
 
 static bool llama_is_user_defined_token(const llama_vocab& vocab, llama_token id) {
     GGML_ASSERT(vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return vocab.id_to_token[id].type == LLAMA_TOKEN_TYPE_USER_DEFINED;
+    return vocab.id_to_token[id].attr & LLAMA_TOKEN_ATTR_USER_DEFINED;
 }
 
 static uint8_t llama_token_to_byte(const llama_vocab& vocab, llama_token id) {
@@ -13258,7 +13324,8 @@ struct fragment_buffer_variant {
 static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<fragment_buffer_variant> & buffer) {
     // for each special token
     for (const llama_vocab::id special_id : vocab.cache_special_tokens) {
-        const auto & special_token = vocab.id_to_token[special_id].text;
+        const auto & data = vocab.id_to_token[special_id];
+        const auto & special_token = data.text;
 
         // for each text fragment
         std::forward_list<fragment_buffer_variant>::iterator it = buffer.begin();
@@ -13295,13 +13362,22 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
                     if (match > raw_text_base_offset) {
                         // left
                         const int64_t left_reminder_offset = raw_text_base_offset + 0;
-                        const int64_t left_reminder_length = match - raw_text_base_offset;
-                        buffer.emplace_after(it, raw_text, left_reminder_offset, left_reminder_length);
+                        int64_t left_reminder_length = match - raw_text_base_offset;
+
+                        if (data.attr & LLAMA_TOKEN_ATTR_LSTRIP) {
+                            while (left_reminder_length > 0 && isspace(raw_text[left_reminder_offset + left_reminder_length - 1])) {
+                                left_reminder_length--;
+                            }
+                        }
+
+                        if (left_reminder_length > 0) {
+                            buffer.emplace_after(it, raw_text, left_reminder_offset, left_reminder_length);
+                            it++;
+                        }
 
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("FL: (%ld %ld) '%s'\n", left_reminder_offset, left_reminder_length, raw_text->substr(left_reminder_offset, left_reminder_length).c_str());
 #endif
-                        it++;
                     }
 
                     // special token
@@ -13310,16 +13386,25 @@ static void tokenizer_st_partition(const llama_vocab & vocab, std::forward_list<
 
                     // right
                     if (match + special_token.length() < raw_text_base_offset + raw_text_base_length) {
-                        const int64_t right_reminder_offset = match + special_token.length();
-                        const int64_t right_reminder_length = raw_text_base_length - ((match - raw_text_base_offset) + special_token.length());
-                        buffer.emplace_after(it, raw_text, right_reminder_offset, right_reminder_length);
+                        int64_t right_reminder_offset = match + special_token.length();
+                        int64_t right_reminder_length = raw_text_base_length - ((match - raw_text_base_offset) + special_token.length());
+
+                        if (data.attr & LLAMA_TOKEN_ATTR_RSTRIP) {
+                            while (right_reminder_length > 0 && isspace(raw_text[right_reminder_offset])) {
+                                right_reminder_offset++;
+                                right_reminder_length--;
+                            }
+                        }
+
+                        if (right_reminder_length > 0) {
+                            buffer.emplace_after(it, raw_text, right_reminder_offset, right_reminder_length);
+                            it++;
+                        }
 
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("FR: (%ld %ld) '%s'\n", right_reminder_offset, right_reminder_length, raw_text->substr(right_reminder_offset, right_reminder_length).c_str());
 #endif
 
-                        it++;
-
                         if (source == 0) {
                             buffer.erase_after(buffer.before_begin());
                         } else {
@@ -13365,9 +13450,7 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                 // tokenizer.encode('', add_special_tokens=True)  returns [1]
                 // tokenizer.encode('', add_special_tokens=False) returns []
 
-                static const bool rtrim = true;  //TODO: as param
                 bool is_prev_special = false;
-                bool special_token_rtrim = false;
 
                 if (add_special && vocab.special_add_bos != 0) {
                     GGML_ASSERT(vocab.special_bos_id != -1);
@@ -13377,25 +13460,8 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
 
                 for (const auto & fragment : fragment_buffer) {
                     if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
-                        // without adding this leading whitespace, we do not get the same results as the original tokenizer
-
-                        // TODO: It's likely possible to get rid of this string copy entirely
-                        //  by modifying llm_tokenizer_x to operate with string offsets like pre-tokenizer
-                        //  and passing 'add space prefix' as bool argument
-                        //
                         auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length);
 
-                        if (special_token_rtrim) {
-                            size_t num_whitespaces = 0;
-                            while (isspace(raw_text[num_whitespaces])) {
-                                num_whitespaces++;
-                            }
-                            if (num_whitespaces == raw_text.size()) {
-                                continue; // skip if all whitespaces
-                            }
-                            raw_text = raw_text.substr(num_whitespaces);
-                        }
-
                         if (vocab.add_space_prefix) {
                             if (!output.size() || is_prev_special) {  // prefix with space if first token
                                 raw_text = " " + raw_text;
@@ -13411,11 +13477,6 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                     } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN)
                         output.push_back(fragment.token);
                         is_prev_special = true;
-                        // phi-3 special tokens without rtrim, works fine for llama-spm too
-                        special_token_rtrim = rtrim
-                            && fragment.token != vocab.special_bos_id
-                            && fragment.token != vocab.special_unk_id
-                            && fragment.token != vocab.special_eos_id;
                     }
                 }
 
@@ -18221,9 +18282,9 @@ float llama_token_get_score(const struct llama_model * model, llama_token token)
     return model->vocab.id_to_token[token].score;
 }
 
-llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token) {
+llama_token_attr llama_token_get_attr(const struct llama_model * model, llama_token token) {
     GGML_ASSERT(model->vocab.type != LLAMA_VOCAB_TYPE_NONE);
-    return model->vocab.id_to_token[token].type;
+    return model->vocab.id_to_token[token].attr;
 }
 
 bool llama_token_is_eog(const struct llama_model * model, llama_token token) {
diff --git a/llama.h b/llama.h
index 95105c28e..a78ccdaf5 100644
--- a/llama.h
+++ b/llama.h
@@ -97,7 +97,7 @@ extern "C" {
         LLAMA_ROPE_TYPE_GLM  =  4,
     };
 
-    enum llama_token_type {
+    enum llama_token_type { //TODO: remove, required until per token attributes are available from GGUF file
         LLAMA_TOKEN_TYPE_UNDEFINED    = 0,
         LLAMA_TOKEN_TYPE_NORMAL       = 1,
         LLAMA_TOKEN_TYPE_UNKNOWN      = 2,
@@ -107,6 +107,20 @@ extern "C" {
         LLAMA_TOKEN_TYPE_BYTE         = 6,
     };
 
+    enum llama_token_attr {
+        LLAMA_TOKEN_ATTR_UNDEFINED    = 0,
+        LLAMA_TOKEN_ATTR_UNKNOWN      = 1 <<  1,
+        LLAMA_TOKEN_ATTR_UNUSED       = 1 <<  2,
+        LLAMA_TOKEN_ATTR_NORMAL       = 1 <<  3,
+        LLAMA_TOKEN_ATTR_CONTROL      = 1 <<  4,  // SPECIAL?
+        LLAMA_TOKEN_ATTR_USER_DEFINED = 1 <<  5,
+        LLAMA_TOKEN_ATTR_BYTE         = 1 <<  6,
+        LLAMA_TOKEN_ATTR_NORMALIZED   = 1 <<  7,
+        LLAMA_TOKEN_ATTR_LSTRIP       = 1 <<  8,
+        LLAMA_TOKEN_ATTR_RSTRIP       = 1 <<  9,
+        LLAMA_TOKEN_ATTR_SINGLE_WORD  = 1 << 10,
+    };
+
     // model file types
     enum llama_ftype {
         LLAMA_FTYPE_ALL_F32              = 0,
@@ -821,7 +835,7 @@ extern "C" {
 
     LLAMA_API float llama_token_get_score(const struct llama_model * model, llama_token token);
 
-    LLAMA_API enum llama_token_type llama_token_get_type(const struct llama_model * model, llama_token token);
+    LLAMA_API enum llama_token_attr llama_token_get_attr(const struct llama_model * model, llama_token token);
 
     // Check if the token is supposed to end generation (end-of-generation, eg. EOS, EOT, etc.)
     LLAMA_API bool llama_token_is_eog(const struct llama_model * model, llama_token token);
diff --git a/models/ggml-vocab-phi-3.gguf b/models/ggml-vocab-phi-3.gguf
index f8022a385e4aa48ca10d40d0f079a25365a7be78..745be416a798a1e7a2effaa935bc903edaaf303d 100644
GIT binary patch
delta 576
zcmcb%Os9E;j-b1Hs2ei_0!U31tWws5@(VIDjrEH13sUuplM{0?^V0S5i!#$Q^AdC7
zH<p?)Dhp$%ODjq(j894|PGtj0Imoy*uV!pt%?QFwK+FupEI`Z(#BAGFGqU$9)bm0O
zv8hSTOUX|wNv$ZUu|o(Z78hq0mn7x^1qI+L3vv>ZQ#0~&Qc{Zyafln?5I05>&w&|a
zQe(#jx1hMPxFj{V#*Q5>0(2ajPMAhh9O7m*b{uf+rNya5HFn#S*<UhqRUKhqfZ*j1
z)!13uKWnjX|E$IF^}RM!7$%L6p8j5n^UCz+(wv5zp!fq}mUcxM&h3gaT;D%y!o&#D
z(-j4{uWy$S<hEndk%2llJvA@2C^1K`uoM{XnN^7;nfZC~WvNBQK$-=ph6#uPlUk6M

delta 353
zcmZo(p>u7Sj-b1Hs2ei_0*Fr(tlD@)fw7sLshypP5r{!FGZ3=?F)I+WZD(g<?^mej
zf@+EmaC9*?GB7ZRMHex|5HZ3KF~$%v!4NUU5HXA8a!0e?97B->hKMD)h@nC3_C{s)
zm(1Hc)!AP&PoJR9F5h0F&Az=vo8#;I=?kSfk5Atq&1o?`Lx$6klL=@gD6E*buan{Y
n&OCju3@1<fQU%WKOBJ}jyq|tifcwPsy8_%6+h+=L+c5zEY8^+j

diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py
index ec1b2837c..52f589511 100644
--- a/tests/test-tokenizer-random.py
+++ b/tests/test-tokenizer-random.py
@@ -156,17 +156,39 @@ def generator_custom_text_edge_cases() -> Iterator[str]:
         '<s>a',       # Phi-3 fail
         '<unk><|endoftext|><s>',  # Phi-3 fail
         'a\na',       # TODO: Bert fail
+        'a </s> b',   # rstrip phi-3
+        'a <mask> b', # lstrip jina-v2
     ]
 
 
-def generator_random_special_tokens(tokenizer, iterations=100) -> Iterator[str]:
-    special_tokens = set(tokenizer.all_special_tokens)
-    special_tokens.update([" ", "\n", "\t", "-", "!", "one", "1", "<s>", "</s>"])
-    special_tokens = list(sorted(special_tokens))
+def generator_vocab_words(vocab: list[str]) -> Iterator[str]:
+    """Brute force check all vocab words"""
+    yield from vocab
+
+
+def generator_added_lr_strip(tokenizer) -> Iterator[str]:
+    WHITESPACES = ["", " ", "  ", "    "]
+    special_tokens = list(tokenizer.all_special_tokens)
+    added_tokens   = list(tokenizer.added_tokens_encoder)
+    all_tokens     = list(sorted(set(special_tokens + added_tokens)))
+    for token in all_tokens:
+        for lstrip in WHITESPACES:
+            for rstrip in WHITESPACES:
+                yield lstrip + token + rstrip
+                yield "a" + lstrip + token + rstrip
+                yield lstrip + token + rstrip + "z"
+                yield "a" + lstrip + token + rstrip + "z"
+
+
+def generator_random_added_tokens(tokenizer, iterations=100) -> Iterator[str]:
+    special_tokens = list(tokenizer.all_special_tokens)
+    added_tokens   = list(tokenizer.added_tokens_encoder)
+    separations    = [" ", "\n", "\t", "-", "!", "one", "1", "<s>", "</s>"]
+    all_tokens     = list(sorted(set(special_tokens + added_tokens + separations)))
     rand = random.Random()
     for m in range(iterations):
         rand.seed(m)
-        words = rand.choices(special_tokens, k=500)
+        words = rand.choices(all_tokens, k=500)
         if words[0] == tokenizer.bos_token:  # skip spam warning of double BOS
             while len(words) > 1 and words[1] == tokenizer.bos_token:  # leave one starting BOS
                 words.pop(0)
@@ -175,11 +197,6 @@ def generator_random_special_tokens(tokenizer, iterations=100) -> Iterator[str]:
         yield "".join(words)
 
 
-def generator_vocab_words(vocab: list[str]) -> Iterator[str]:
-    """Brute force check all vocab words"""
-    yield from vocab
-
-
 def generator_random_chars(iterations=100) -> Iterator[str]:
     """Brute force random text with simple characters"""
 
@@ -274,8 +291,8 @@ def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, g
         ids2 = func_tokenize2(text)
         if ids1 != ids2:
             i = find_first_mismatch(ids1, ids2)
-            ids1 = list(ids1)[max(0, i - 2) : i + 2 + 1]
-            ids2 = list(ids2)[max(0, i - 2) : i + 2 + 1]
+            ids1 = list(ids1)[max(0, i - 2) : i + 5 + 1]
+            ids2 = list(ids2)[max(0, i - 2) : i + 5 + 1]
             logger.info(" TokenIDs: " + str(ids1))
             logger.info(" Expected: " + str(ids2))
             raise Exception()
@@ -309,8 +326,9 @@ def main(argv: list[str] = None):
     vocab = list(sorted(tokenizer.batch_decode(list(tokenizer.get_vocab().values()), skip_special_tokens=True)))
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text())
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases())
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_special_tokens(tokenizer, 10_000))
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_vocab_words(vocab))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer))
+    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000))
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_chars(10_000))
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000))
     test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000))
@@ -322,14 +340,14 @@ def main(argv: list[str] = None):
 if __name__ == "__main__":
     # main()
 
-    path_tokenizers = "./models/tokenizers/"
+    path_tokenizers   = "./models/tokenizers/"
     path_vocab_format = "./models/ggml-vocab-%s.gguf"
 
     # import os
     # tokenizers = os.listdir(path_tokenizers)
     tokenizers = [
-        # "llama-spm",   # SPM
-        # "phi-3",       # SPM
+        "llama-spm",   # SPM
+        "phi-3",       # SPM
         "jina-v2-en",  # WPM
         "bert-bge",    # WPM
     ]

From b226c1227bcf6412076ecf787421135fd2c42ef0 Mon Sep 17 00:00:00 2001
From: zhouwg <zhouwg2000@gmail.com>
Date: Tue, 4 Jun 2024 19:21:26 +0800
Subject: [PATCH 003/131] refine .gitignore (#7688)

This adds tags and android ndk into the git ignore list
---
 .gitignore | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index 049efd703..5223c6963 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,9 +34,11 @@ ggml-metal-embed.metal
 lcov-report/
 gcovr-report/
 
+tags
 build*
 !build.zig
 cmake-build-*
+android-ndk-*
 out/
 tmp/
 

From 987d743d6bc4cee4bde6820733ea33a2abc0afac Mon Sep 17 00:00:00 2001
From: Daniele <57776841+daniandtheweb@users.noreply.github.com>
Date: Tue, 4 Jun 2024 12:09:15 +0000
Subject: [PATCH 004/131] Improve hipBLAS support in CMake (#7696)

* Improve hipBLAS support in CMake

This improves the detection of the correct CMAKE_PREFIX_PATH when using different distributions or a self-built ROCm SDK.

* Set ROCM_PATH correctly
---
 CMakeLists.txt | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 620305ca7..76ea27412 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -557,12 +557,17 @@ if (LLAMA_VULKAN)
 endif()
 
 if (LLAMA_HIPBLAS)
-    if ($ENV{ROCM_PATH})
-        set(ROCM_PATH $ENV{ROCM_PATH})
+    if (NOT EXISTS $ENV{ROCM_PATH})
+        if (NOT EXISTS /opt/rocm)
+            set(ROCM_PATH /usr)
+        else()
+            set(ROCM_PATH /opt/rocm)
+        endif()
     else()
-        set(ROCM_PATH /opt/rocm)
+        set(ROCM_PATH $ENV{ROCM_PATH})
     endif()
     list(APPEND CMAKE_PREFIX_PATH ${ROCM_PATH})
+    list(APPEND CMAKE_PREFIX_PATH "${ROCM_PATH}/lib64/cmake")
 
     # CMake on Windows doesn't support the HIP language yet
     if(WIN32)

From adc9ff384121f4d550d28638a646b336d051bf42 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Tue, 4 Jun 2024 14:32:42 +0200
Subject: [PATCH 005/131] llama-bench : allow using a different printer for
 stderr with -oe (#7722)

compare-commits.sh : hide stdout, use -oe to print markdown
---
 examples/llama-bench/llama-bench.cpp | 145 +++++++++++++++++----------
 scripts/compare-commits.sh           |  16 +--
 2 files changed, 101 insertions(+), 60 deletions(-)

diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index c00890447..5d3cbd842 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -140,10 +140,11 @@ static std::string get_gpu_info() {
 }
 
 // command line params
-enum output_formats {CSV, JSON, MARKDOWN, SQL};
+enum output_formats {NONE, CSV, JSON, MARKDOWN, SQL};
 
 static const char * output_format_str(output_formats format) {
     switch (format) {
+        case NONE:     return "none";
         case CSV:      return "csv";
         case JSON:     return "json";
         case MARKDOWN: return "md";
@@ -152,6 +153,23 @@ static const char * output_format_str(output_formats format) {
     }
 }
 
+static bool output_format_from_str(const std::string & s, output_formats & format) {
+    if (s == "none") {
+        format = NONE;
+    } else if (s == "csv") {
+        format = CSV;
+    } else if (s == "json") {
+        format = JSON;
+    } else if (s == "md") {
+        format = MARKDOWN;
+    } else if (s == "sql") {
+        format = SQL;
+    } else {
+        return false;
+    }
+    return true;
+}
+
 static const char * split_mode_str(llama_split_mode mode) {
     switch (mode) {
         case LLAMA_SPLIT_MODE_NONE:  return "none";
@@ -190,31 +208,33 @@ struct cmd_params {
     int reps;
     bool verbose;
     output_formats output_format;
+    output_formats output_format_stderr;
 };
 
 static const cmd_params cmd_params_defaults = {
-    /* model         */ {"models/7B/ggml-model-q4_0.gguf"},
-    /* n_prompt      */ {512},
-    /* n_gen         */ {128},
-    /* n_pg          */ {},
-    /* n_batch       */ {2048},
-    /* n_ubatch      */ {512},
-    /* type_k        */ {GGML_TYPE_F16},
-    /* type_v        */ {GGML_TYPE_F16},
-    /* n_threads     */ {cpu_get_num_math()},
-    /* n_gpu_layers  */ {99},
-    /* rpc_servers   */ {""},
-    /* split_mode    */ {LLAMA_SPLIT_MODE_LAYER},
-    /* main_gpu      */ {0},
-    /* no_kv_offload */ {false},
-    /* flash_attn    */ {false},
-    /* tensor_split  */ {std::vector<float>(llama_max_devices(), 0.0f)},
-    /* use_mmap      */ {true},
-    /* embeddings    */ {false},
-    /* numa          */ GGML_NUMA_STRATEGY_DISABLED,
-    /* reps          */ 5,
-    /* verbose       */ false,
-    /* output_format */ MARKDOWN
+    /* model                */ {"models/7B/ggml-model-q4_0.gguf"},
+    /* n_prompt             */ {512},
+    /* n_gen                */ {128},
+    /* n_pg                 */ {},
+    /* n_batch              */ {2048},
+    /* n_ubatch             */ {512},
+    /* type_k               */ {GGML_TYPE_F16},
+    /* type_v               */ {GGML_TYPE_F16},
+    /* n_threads            */ {cpu_get_num_math()},
+    /* n_gpu_layers         */ {99},
+    /* rpc_servers          */ {""},
+    /* split_mode           */ {LLAMA_SPLIT_MODE_LAYER},
+    /* main_gpu             */ {0},
+    /* no_kv_offload        */ {false},
+    /* flash_attn           */ {false},
+    /* tensor_split         */ {std::vector<float>(llama_max_devices(), 0.0f)},
+    /* use_mmap             */ {true},
+    /* embeddings           */ {false},
+    /* numa                 */ GGML_NUMA_STRATEGY_DISABLED,
+    /* reps                 */ 5,
+    /* verbose              */ false,
+    /* output_format        */ MARKDOWN,
+    /* output_format_stderr */ NONE,
 };
 
 static void print_usage(int /* argc */, char ** argv) {
@@ -243,6 +263,7 @@ static void print_usage(int /* argc */, char ** argv) {
     printf("  -ts, --tensor-split <ts0/ts1/..>    (default: 0)\n");
     printf("  -r, --repetitions <n>               (default: %d)\n", cmd_params_defaults.reps);
     printf("  -o, --output <csv|json|md|sql>      (default: %s)\n", output_format_str(cmd_params_defaults.output_format));
+    printf("  -oe, --output-err <csv|json|md|sql> (default: %s)\n", output_format_str(cmd_params_defaults.output_format_stderr));
     printf("  -v, --verbose                       (default: %s)\n", cmd_params_defaults.verbose ? "1" : "0");
     printf("\n");
     printf("Multiple values can be given for each parameter by separating them with ',' or by specifying the parameter multiple times.\n");
@@ -284,6 +305,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
 
     params.verbose = cmd_params_defaults.verbose;
     params.output_format = cmd_params_defaults.output_format;
+    params.output_format_stderr = cmd_params_defaults.output_format_stderr;
     params.reps = cmd_params_defaults.reps;
 
     for (int i = 1; i < argc; i++) {
@@ -493,18 +515,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            if (argv[i] == std::string("csv")) {
-                params.output_format = CSV;
-            } else if (argv[i] == std::string("json")) {
-                params.output_format = JSON;
-            } else if (argv[i] == std::string("md")) {
-                params.output_format = MARKDOWN;
-            } else if (argv[i] == std::string("sql")) {
-                params.output_format = SQL;
-            } else {
+            invalid_param = !output_format_from_str(argv[i], params.output_format);
+        } else if (arg == "-oe" || arg == "--output-err") {
+            if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
+            invalid_param = !output_format_from_str(argv[i], params.output_format_stderr);
         } else if (arg == "-v" || arg == "--verbose") {
             params.verbose = true;
         } else {
@@ -1278,6 +1295,22 @@ static void llama_null_log_callback(enum ggml_log_level level, const char * text
     (void) user_data;
 }
 
+static std::unique_ptr<printer> create_printer(output_formats format) {
+    switch (format) {
+        case NONE:
+            return nullptr;
+        case CSV:
+            return std::unique_ptr<printer>(new csv_printer());
+        case JSON:
+            return std::unique_ptr<printer>(new json_printer());
+        case MARKDOWN:
+            return std::unique_ptr<printer>(new markdown_printer());
+        case SQL:
+            return std::unique_ptr<printer>(new sql_printer());
+    }
+    GGML_ASSERT(false);
+}
+
 int main(int argc, char ** argv) {
     // try to set locale for unicode characters in markdown
     setlocale(LC_CTYPE, ".UTF-8");
@@ -1304,26 +1337,18 @@ int main(int argc, char ** argv) {
     llama_numa_init(params.numa);
 
     // initialize printer
-    std::unique_ptr<printer> p;
-    switch (params.output_format) {
-        case CSV:
-            p.reset(new csv_printer());
-            break;
-        case JSON:
-            p.reset(new json_printer());
-            break;
-        case MARKDOWN:
-            p.reset(new markdown_printer());
-            break;
-        case SQL:
-            p.reset(new sql_printer());
-            break;
-        default:
-            assert(false);
-            exit(1);
+    std::unique_ptr<printer> p = create_printer(params.output_format);
+    std::unique_ptr<printer> p_err = create_printer(params.output_format_stderr);
+
+    if (p) {
+        p->fout = stdout;
+        p->print_header(params);
+    }
+
+    if (p_err) {
+        p_err->fout = stderr;
+        p_err->print_header(params);
     }
-    p->fout = stdout;
-    p->print_header(params);
 
     std::vector<cmd_params_instance> params_instances = get_cmd_params_instances(params);
 
@@ -1381,7 +1406,15 @@ int main(int argc, char ** argv) {
             t.samples_ns.push_back(t_ns);
         }
 
-        p->print_test(t);
+        if (p) {
+            p->print_test(t);
+            fflush(p->fout);
+        }
+
+        if (p_err) {
+            p_err->print_test(t);
+            fflush(p_err->fout);
+        }
 
         llama_print_timings(ctx);
 
@@ -1390,7 +1423,13 @@ int main(int argc, char ** argv) {
 
     llama_free_model(lmodel);
 
-    p->print_footer();
+    if (p) {
+        p->print_footer();
+    }
+
+    if (p_err) {
+        p_err->print_footer();
+    }
 
     llama_backend_free();
 
diff --git a/scripts/compare-commits.sh b/scripts/compare-commits.sh
index fd0ee88b2..a45cd3962 100755
--- a/scripts/compare-commits.sh
+++ b/scripts/compare-commits.sh
@@ -10,16 +10,18 @@ set -x
 
 bench_args="${@:3}"
 
-rm -f llama-bench.sqlite
+rm -f llama-bench.sqlite > /dev/null
 
 # to test a backend, call the script with the corresponding environment variable (e.g. LLAMA_CUDA=1 ./scripts/compare-commits.sh ...)
 
-git checkout $1
-make clean && make -j32 $make_opts llama-bench
-./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
+git checkout $1 > /dev/null
+make clean > /dev/null
+make -j$(nproc) $make_opts llama-bench > /dev/null
+./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
 
-git checkout $2
-make clean && make -j32 $make_opts llama-bench
-./llama-bench -o sql $bench_args | tee /dev/tty | sqlite3 llama-bench.sqlite
+git checkout $2 > /dev/null
+make clean > /dev/null
+make -j$(nproc) $make_opts llama-bench > /dev/null
+./llama-bench -o sql -oe md $bench_args | sqlite3 llama-bench.sqlite
 
 ./scripts/compare-llama-bench.py -b $1 -c $2

From 5ca0944a153b65724d51b2f484139aa25ccb7a8b Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 4 Jun 2024 19:43:01 +0300
Subject: [PATCH 006/131] readme : remove obsolete Zig instructions (#7471)

---
 README.md | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/README.md b/README.md
index 8680460aa..1f2d9b1f2 100644
--- a/README.md
+++ b/README.md
@@ -364,17 +364,6 @@ In order to build llama.cpp you have four different options.
       cmake --build build --config Debug
       ```
 
-- Using `Zig` (version 0.11 or later):
-
-    Building for optimization levels and CPU features can be accomplished using standard build arguments, for example AVX2, FMA, F16C,
-    it's also possible to cross compile for other operating systems and architectures:
-
-    ```bash
-    zig build -Doptimize=ReleaseFast -Dtarget=x86_64-windows-gnu -Dcpu=x86_64+avx2+fma+f16c
-    ```
-
-    The `zig targets` command will give you valid options to use.
-
 -   Using `gmake` (FreeBSD):
 
     1. Install and activate [DRM in FreeBSD](https://wiki.freebsd.org/Graphics)

From 0cd6bd3483fa66124b76a8a8ac794d9ee18c70c1 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 4 Jun 2024 21:23:05 +0300
Subject: [PATCH 007/131] llama : remove beam search (#7736)

---
 Makefile                             |   6 +-
 examples/CMakeLists.txt              |   1 -
 examples/beam-search/CMakeLists.txt  |   5 -
 examples/beam-search/beam-search.cpp | 188 --------------------
 llama.cpp                            | 254 ---------------------------
 llama.h                              |  42 +----
 6 files changed, 2 insertions(+), 494 deletions(-)
 delete mode 100644 examples/beam-search/CMakeLists.txt
 delete mode 100644 examples/beam-search/beam-search.cpp

diff --git a/Makefile b/Makefile
index b527f6f35..27eb69871 100644
--- a/Makefile
+++ b/Makefile
@@ -1,7 +1,7 @@
 # Define the default target now so that it is always the first target
 BUILD_TARGETS = \
 	main quantize quantize-stats perplexity imatrix embedding vdot q8dot train-text-from-scratch convert-llama2c-to-ggml \
-	simple batched batched-bench save-load-state server gguf gguf-split eval-callback llama-bench libllava.a llava-cli baby-llama beam-search  \
+	simple batched batched-bench save-load-state server gguf gguf-split eval-callback llama-bench libllava.a llava-cli baby-llama \
 	retrieval speculative infill tokenize benchmark-matmult parallel finetune export-lora lookahead lookup passkey gritlm tests/test-c.o
 
 # Binaries only useful for tests
@@ -914,10 +914,6 @@ baby-llama: examples/baby-llama/baby-llama.cpp ggml.o llama.o $(COMMON_DEPS) tra
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-beam-search: examples/beam-search/beam-search.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
-	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
-
 finetune: examples/finetune/finetune.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index b40ee4ccb..53002f8e1 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -15,7 +15,6 @@ else()
     add_subdirectory(baby-llama)
     add_subdirectory(batched)
     add_subdirectory(batched-bench)
-    add_subdirectory(beam-search)
     add_subdirectory(benchmark)
     add_subdirectory(convert-llama2c-to-ggml)
     add_subdirectory(embedding)
diff --git a/examples/beam-search/CMakeLists.txt b/examples/beam-search/CMakeLists.txt
deleted file mode 100644
index f0e37468b..000000000
--- a/examples/beam-search/CMakeLists.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-set(TARGET beam-search)
-add_executable(${TARGET} beam-search.cpp)
-install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/beam-search/beam-search.cpp b/examples/beam-search/beam-search.cpp
deleted file mode 100644
index 3d34378a5..000000000
--- a/examples/beam-search/beam-search.cpp
+++ /dev/null
@@ -1,188 +0,0 @@
-#include "common.h"
-#include "llama.h"
-
-#include <cassert>
-#include <cinttypes>
-#include <cmath>
-#include <cstdio>
-#include <cstring>
-#include <ctime>
-#include <fstream>
-#include <iostream>
-#include <string>
-#include <vector>
-
-#if defined (__unix__) || (defined (__APPLE__) && defined (__MACH__))
-#include <signal.h>
-#include <unistd.h>
-#elif defined (_WIN32)
-#define WIN32_LEAN_AND_MEAN
-#ifndef NOMINMAX
-#   define NOMINMAX
-#endif
-#include <windows.h>
-#include <signal.h>
-#endif
-
-// Used for debugging to print out beam tokens.
-struct ostream_beam_view {
-    llama_context * ctx;
-    llama_beam_view beam_view;
-};
-
-static std::ostream & operator<<(std::ostream & os, const ostream_beam_view & obv) {
-    os << "p(" << obv.beam_view.p << ") eob(" << std::boolalpha << obv.beam_view.eob << ") tokens(";
-    for (size_t i = 0 ; i < obv.beam_view.n_tokens ; ++i) {
-        os << llama_token_to_piece(obv.ctx, obv.beam_view.tokens[i]);
-    }
-    return os << ')';
-}
-
-// Put here anything you want back in beam_search_callback().
-struct beam_search_callback_data {
-    llama_context * ctx;
-    std::vector<llama_token> response;
-};
-
-// In this case, end-of-beam (eob) is equivalent to end-of-sentence (eos) but this need not always be the same.
-// For example, eob can be flagged due to maximum token length, stop words, etc.
-static bool is_at_eob(const beam_search_callback_data & callback_data, const llama_token * tokens, size_t n_tokens) {
-    return n_tokens && llama_token_is_eog(llama_get_model(callback_data.ctx), tokens[n_tokens-1]);
-}
-
-// Function matching type llama_beam_search_callback_fn_t.
-// Custom callback example is called each time the beams lengths increase:
-//  * Show progress by printing ',' following by number of convergent beam tokens if any.
-//  * When all beams converge to a common prefix, they are made available in beams_state.beams[0].
-//    This is also called when the stop condition is met.
-//    Collect tokens into std::vector<llama_token> response which is pointed to by callback_data.
-static void beam_search_callback(void * callback_data_ptr, llama_beams_state beams_state) {
-    auto& callback_data = *static_cast<beam_search_callback_data*>(callback_data_ptr);
-    // Mark beams as EOS as needed.
-    for (size_t i = 0 ; i < beams_state.n_beams ; ++i) {
-        llama_beam_view& beam_view = beams_state.beam_views[i];
-        if (!beam_view.eob && is_at_eob(callback_data, beam_view.tokens, beam_view.n_tokens)) {
-            beam_view.eob = true;
-        }
-    }
-    printf(",");  // Show progress
-    if (const size_t n = beams_state.common_prefix_length) {
-        callback_data.response.resize(callback_data.response.size() + n);
-        assert(0u < beams_state.n_beams);
-        const llama_token * tokens = beams_state.beam_views[0].tokens;
-        std::copy(tokens, tokens + n, callback_data.response.end() - n);
-        printf("%zu", n);
-    }
-    fflush(stdout);
-#if 1 // DEBUG: print current beams for this iteration
-    std::cout << "\n\nCurrent beams (last_call=" << beams_state.last_call << "):\n";
-    for (size_t i = 0 ; i < beams_state.n_beams ; ++i) {
-        std::cout << "beams["<<i<<"]: " << ostream_beam_view{callback_data.ctx,beams_state.beam_views[i]} << std::endl;
-    }
-#endif
-}
-
-int main(int argc, char ** argv)
-{
-    gpt_params params;
-    //params.n_gpu_layers = 200;
-
-    //---------------------------------
-    // Print help :
-    //---------------------------------
-
-    if ( argc < 2 || argv[1][0] == '-' )
-    {
-        printf( "Usage: %s MODEL_PATH [BEAM_WIDTH=2] [PROMPT]\n" , argv[0] );
-        return 1 ;
-    }
-
-    //---------------------------------
-    // Load parameters :
-    //---------------------------------
-
-    params.model = argv[1];
-
-    params.n_beams = 2 < argc ? std::stoi(argv[2]) : 2;
-
-    if ( argc > 3 )
-    {
-        params.prompt = argv[3];
-    }
-
-    if ( params.prompt.empty() )
-    {
-        params.prompt = "### Request:\nHow many countries are there?\n\n### Response:\n";
-    }
-
-    //---------------------------------
-    // Init LLM :
-    //---------------------------------
-
-    llama_backend_init();
-    llama_numa_init(params.numa);
-
-    llama_model * model;
-    llama_context * ctx;
-
-    std::tie(model, ctx) = llama_init_from_gpt_params( params );
-
-    if ( model == NULL )
-    {
-        fprintf( stderr , "%s: error: unable to load model\n" , __func__ );
-        return 1;
-    }
-
-    //---------------------------------
-    // Tokenize the prompt :
-    //---------------------------------
-
-    std::vector<llama_token> tokens_list = llama_tokenize(ctx, params.prompt, true);
-
-    const size_t max_context_size     = llama_n_ctx( ctx );
-    const size_t max_tokens_list_size = max_context_size - 4 ;
-
-    if (tokens_list.size() > max_tokens_list_size)
-    {
-        fprintf( stderr , "%s: error: prompt too long (%zu tokens, max %zu)\n" ,
-             __func__ , tokens_list.size() , max_tokens_list_size );
-        return 1;
-    }
-
-    fprintf( stderr, "\n\n" );
-
-    // Print the tokens from the prompt :
-
-    for( auto id : tokens_list )
-    {
-        std::cout << llama_token_to_piece(ctx, id);
-    }
-    std::cout << std::flush;
-
-    int n_past = 0;
-
-    if (llama_decode(ctx, llama_batch_get_one(tokens_list.data(), tokens_list.size(), n_past, 0)))
-    {
-        fprintf(stderr, "%s : failed to eval prompt.\n" , __func__ );
-        return 1;
-    }
-    n_past += tokens_list.size();
-
-    beam_search_callback_data callback_data{ctx, {}};
-    size_t const beam_width = static_cast<size_t>(params.n_beams);
-    int const n_predict = 256;
-    llama_beam_search(ctx, beam_search_callback, &callback_data, beam_width, n_past, n_predict);
-
-    std::cout << "\n\n";
-    for (llama_token const token_id : callback_data.response) {
-        std::cout << llama_token_to_piece(ctx,token_id);
-    }
-    std::cout << std::endl;
-
-    llama_free( ctx );
-    llama_free_model( model );
-
-    llama_backend_free();
-
-    return 0;
-}
diff --git a/llama.cpp b/llama.cpp
index a3e944874..92c33f53e 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -14711,260 +14711,6 @@ void llama_grammar_accept_token(struct llama_context * ctx, struct llama_grammar
     ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
 }
 
-//
-// Beam search
-//
-
-struct llama_beam {
-    std::vector<llama_token> tokens;
-    float p;  // Cumulative beam probability (renormalized relative to all beams)
-    bool eob; // Initialize end-of-beam to false. Callback sets this to true.
-    // Sort beams by probability. In case of ties, prefer beams at eob.
-    bool operator<(const llama_beam & rhs) const {
-        return std::make_pair(p, eob) < std::make_pair(rhs.p, rhs.eob);
-    }
-    // Shift off first n tokens and discard them.
-    void shift_tokens(const size_t n) {
-        if (n) {
-            std::copy(tokens.begin() + n, tokens.end(), tokens.begin());
-            tokens.resize(tokens.size() - n);
-        }
-    }
-    llama_beam_view view() const { return {tokens.data(), tokens.size(), p, eob}; }
-};
-
-// A struct for calculating logit-related info.
-struct llama_logit_info {
-    const float * const logits;
-    const int n_vocab;
-    const float max_l;
-    const float normalizer;
-    struct sum_exp {
-        float max_l;
-        float operator()(float sum, float l) const { return sum + std::exp(l - max_l); }
-    };
-    llama_logit_info(llama_context * ctx)
-      : logits(llama_get_logits(ctx))
-      , n_vocab(llama_n_vocab(llama_get_model(ctx)))
-      , max_l(*std::max_element(logits, logits + n_vocab))
-      , normalizer(1.0f / std::accumulate(logits, logits + n_vocab, 0.0f, sum_exp{max_l}))
-      { }
-    llama_token_data get_token_data(const llama_token token_id) const {
-        constexpr auto p = std::numeric_limits<float>::quiet_NaN();  // never used
-        return {token_id, logits[token_id], p};
-    }
-    // Return top k token_data by logit.
-    std::vector<llama_token_data> top_k(size_t k) {
-        std::vector<llama_token_data> min_heap;  // min-heap by logit
-        const llama_token k_min = std::min(static_cast<llama_token>(k), n_vocab);
-        min_heap.reserve(k_min);
-        for (llama_token token_id = 0 ; token_id < k_min ; ++token_id) {
-            min_heap.push_back(get_token_data(token_id));
-        }
-        auto comp = [](const llama_token_data & a, const llama_token_data & b) { return a.logit > b.logit; };
-        std::make_heap(min_heap.begin(), min_heap.end(), comp);
-        for (llama_token token_id = k_min ; token_id < n_vocab ; ++token_id) {
-            if (min_heap.front().logit < logits[token_id]) {
-                std::pop_heap(min_heap.begin(), min_heap.end(), comp);
-                min_heap.back().id = token_id;
-                min_heap.back().logit = logits[token_id];
-                std::push_heap(min_heap.begin(), min_heap.end(), comp);
-            }
-        }
-        return min_heap;
-    }
-    float probability_from_logit(float logit) const {
-        return normalizer * std::exp(logit - max_l);
-    }
-};
-
-struct llama_beam_search_data {
-    llama_context * ctx;
-    size_t n_beams;
-    int n_past;
-    int n_predict;
-    std::vector<llama_beam> beams;
-    std::vector<llama_beam> next_beams;
-
-    // Re-calculated on each loop iteration
-    size_t common_prefix_length;
-
-    // Used to communicate to/from callback on beams state.
-    std::vector<llama_beam_view> beam_views;
-
-    llama_beam_search_data(llama_context * ctx, size_t n_beams, int n_past, int n_predict)
-      : ctx(ctx)
-      , n_beams(n_beams)
-      , n_past(n_past)
-      , n_predict(n_predict)
-      , beam_views(n_beams) {
-        beams.reserve(n_beams);
-        next_beams.reserve(n_beams);
-    }
-
-    // Collapse beams to a single beam given by index.
-    void collapse_beams(const size_t beam_idx) {
-        if (0u < beam_idx) {
-            std::swap(beams[0], beams[beam_idx]);
-        }
-        beams.resize(1);
-    }
-
-    // Min-heaps are used to efficiently collect the top-k elements (k=n_beams).
-    // The repetitive patterns below reflect the 2 stages of heaps:
-    //  * Gather elements until the vector is full, then call std::make_heap() on it.
-    //  * If the heap is full and a new element is found that should be included, pop the
-    //    least element to the back(), replace it with the new, then push it into the heap.
-    void fill_next_beams_by_top_probabilities(llama_beam & beam) {
-        // Min-heaps use a greater-than comparator.
-        const auto comp = [](const llama_beam & a, const llama_beam & b) { return a.p > b.p; };
-        if (beam.eob) {
-            // beam is at end-of-sentence, so just copy it to next_beams if its probability is high enough.
-            if (next_beams.size() < n_beams) {
-                next_beams.push_back(std::move(beam));
-                if (next_beams.size() == n_beams) {
-                    std::make_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            } else if (next_beams.front().p < beam.p) {
-                std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                next_beams.back() = std::move(beam);
-                std::push_heap(next_beams.begin(), next_beams.end(), comp);
-            }
-        } else {
-            // beam is not at end-of-sentence, so branch with next top_k tokens.
-            if (!beam.tokens.empty()) {
-                llama_decode(ctx, llama_batch_get_one(beam.tokens.data(), beam.tokens.size(), n_past, 0));
-            }
-            llama_logit_info logit_info(ctx);
-            std::vector<llama_token_data> next_tokens = logit_info.top_k(n_beams);
-
-            // Clear the kv slot so that other beams may try different tokens at this position. The llama_decode()
-            // call in loop() will conclusively fill in the kv slot once the beams converge at this position.
-            llama_kv_cache_seq_rm(ctx, 0, n_past, -1);
-
-            size_t i=0;
-            if (next_beams.size() < n_beams) {
-                for (; next_beams.size() < n_beams ; ++i) {
-                    llama_beam next_beam = beam;
-                    next_beam.tokens.push_back(next_tokens[i].id);
-                    next_beam.p *= logit_info.probability_from_logit(next_tokens[i].logit);
-                    next_beams.push_back(std::move(next_beam));
-                }
-                std::make_heap(next_beams.begin(), next_beams.end(), comp);
-            } else {
-                for (; next_beams.front().p == 0.0f ; ++i) {
-                    std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                    next_beams.back() = beam;
-                    next_beams.back().tokens.push_back(next_tokens[i].id);
-                    next_beams.back().p *= logit_info.probability_from_logit(next_tokens[i].logit);
-                    std::push_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            }
-            for (; i < n_beams ; ++i) {
-                const float next_p = beam.p * logit_info.probability_from_logit(next_tokens[i].logit);
-                if (next_beams.front().p < next_p) {
-                    std::pop_heap(next_beams.begin(), next_beams.end(), comp);
-                    next_beams.back() = beam;
-                    next_beams.back().tokens.push_back(next_tokens[i].id);
-                    next_beams.back().p = next_p;
-                    std::push_heap(next_beams.begin(), next_beams.end(), comp);
-                }
-            }
-        }
-    }
-
-    // Find common_prefix_length based on beams.
-    // Requires beams is not empty.
-    size_t find_common_prefix_length() {
-        size_t common_prefix_length = beams[0].tokens.size();
-        for (size_t i = 1 ; i < beams.size() ; ++i) {
-            common_prefix_length = std::min(common_prefix_length, beams[i].tokens.size());
-            for (size_t j = 0 ; j < common_prefix_length ; ++j) {
-                if (beams[0].tokens[j] != beams[i].tokens[j]) {
-                    common_prefix_length = j;
-                    break;
-                }
-            }
-        }
-        return common_prefix_length;
-    }
-
-    // Construct beams_state to send back to caller via the callback function.
-    // Side effect: set common_prefix_length = find_common_prefix_length();
-    llama_beams_state get_beams_state(const bool last_call) {
-        for (size_t i = 0 ; i < beams.size() ; ++i) {
-            beam_views[i] = beams[i].view();
-        }
-        common_prefix_length = find_common_prefix_length();
-        return {beam_views.data(), beams.size(), common_prefix_length, last_call};
-    }
-
-    // Loop:
-    //  * while i < n_predict, AND
-    //  * any of the beams have not yet reached end-of-beam (eob), AND
-    //  * the highest probability beam(s) (plural in case of ties) are not at end-of-sentence
-    //    (since all other beam probabilities can only decrease)
-    void loop(const llama_beam_search_callback_fn_t callback, void * const callback_data) {
-        beams.push_back({{}, 1.0f, false});  // Start with one empty beam w/ probability = 1.0 and !eob.
-        const auto not_eob = [](const llama_beam & beam) { return !beam.eob; };
-        for (int i = 0 ; i < n_predict && std::any_of(beams.begin(),beams.end(),not_eob) &&
-                       !beams[top_beam_index()].eob ; ++i) {
-            callback(callback_data, get_beams_state(false));  // Sets common_prefix_length
-            update_beams_from_beam_views();   // Update values (p,eob) that callback may have changed.
-            if (common_prefix_length) {
-                llama_decode(ctx, llama_batch_get_one(beams[0].tokens.data(), common_prefix_length, n_past, 0));
-                n_past += common_prefix_length;
-            }
-            // Zero-out next_beam probabilities to place them last in following min-heap.
-            std::for_each(next_beams.begin(), next_beams.end(), [](llama_beam & beam) { beam.p = 0.0f; });
-            for (llama_beam & beam : beams) {
-                beam.shift_tokens(common_prefix_length);
-                fill_next_beams_by_top_probabilities(beam);
-            }
-            // next_beams become the beams of next/final iteration. Swap them to re-use memory.
-            beams.swap(next_beams);
-            renormalize_beam_probabilities(beams);
-        }
-        collapse_beams(top_beam_index());
-        callback(callback_data, get_beams_state(true));
-    }
-
-    // As beams grow, the cumulative probabilities decrease.
-    // Renormalize them to avoid floating point underflow.
-    static void renormalize_beam_probabilities(std::vector<llama_beam> & beams) {
-        const auto sum_p = [](float sum, llama_beam & beam) { return sum + beam.p; };
-        const float inv_sum = 1.0f / std::accumulate(beams.begin(), beams.end(), 0.0f, sum_p);
-        std::for_each(beams.begin(), beams.end(), [=](llama_beam & beam) { beam.p *= inv_sum; });
-    }
-
-    // Assumes beams is non-empty.  Uses llama_beam::operator<() for ordering.
-    size_t top_beam_index() {
-        return std::max_element(beams.begin(), beams.end()) - beams.begin();
-    }
-
-    // Copy (p,eob) for each beam which may have been changed by the callback.
-    void update_beams_from_beam_views() {
-        for (size_t i = 0 ; i < beams.size() ; ++i) {
-            beams[i].p = beam_views[i].p;
-            beams[i].eob = beam_views[i].eob;
-        }
-    }
-};
-
-void llama_beam_search(llama_context * ctx,
-                       llama_beam_search_callback_fn_t callback, void * callback_data,
-                       size_t n_beams, int n_past, int n_predict) {
-    assert(ctx);
-    const int64_t t_start_sample_us = ggml_time_us();
-
-    llama_beam_search_data beam_search_data(ctx, n_beams, n_past, n_predict);
-
-    beam_search_data.loop(callback, callback_data);
-
-    ctx->t_sample_us += ggml_time_us() - t_start_sample_us;
-    ctx->n_sample++;
-}
-
 //
 // quantization
 //
diff --git a/llama.h b/llama.h
index a78ccdaf5..b2a302dad 100644
--- a/llama.h
+++ b/llama.h
@@ -1056,49 +1056,9 @@ extern "C" {
                      llama_token   token);
 
     //
-    // Beam search
+    // Model split
     //
 
-    struct llama_beam_view {
-        const llama_token * tokens;
-
-        size_t n_tokens;
-        float  p;        // Cumulative beam probability (renormalized relative to all beams)
-        bool   eob;      // Callback should set this to true when a beam is at end-of-beam.
-    };
-
-    // Passed to beam_search_callback function.
-    // Whenever 0 < common_prefix_length, this number of tokens should be copied from any of the beams
-    // (e.g. beams[0]) as they will be removed (shifted) from all beams in all subsequent callbacks.
-    // These pointers are valid only during the synchronous callback, so should not be saved.
-    struct llama_beams_state {
-        struct llama_beam_view * beam_views;
-
-        size_t n_beams;               // Number of elements in beam_views[].
-        size_t common_prefix_length;  // Current max length of prefix tokens shared by all beams.
-        bool   last_call;             // True iff this is the last callback invocation.
-    };
-
-    // Type of pointer to the beam_search_callback function.
-    // void* callback_data is any custom data passed to llama_beam_search, that is subsequently
-    // passed back to beam_search_callback. This avoids having to use global variables in the callback.
-    typedef void (*llama_beam_search_callback_fn_t)(void * callback_data, struct llama_beams_state);
-
-    /// @details Deterministically returns entire sentence constructed by a beam search.
-    /// @param ctx Pointer to the llama_context.
-    /// @param callback Invoked for each iteration of the beam_search loop, passing in beams_state.
-    /// @param callback_data A pointer that is simply passed back to callback.
-    /// @param n_beams Number of beams to use.
-    /// @param n_past Number of tokens already evaluated.
-    /// @param n_predict Maximum number of tokens to predict. EOS may occur earlier.
-    LLAMA_API void llama_beam_search(
-                   struct llama_context * ctx,
-        llama_beam_search_callback_fn_t   callback,
-                                   void * callback_data,
-                                 size_t   n_beams,
-                                int32_t   n_past,
-                                int32_t   n_predict);
-
     /// @details Build a split GGUF final path for this chunk.
     ///          llama_split_path(split_path, sizeof(split_path), "/models/ggml-model-q4_0", 2, 4) => split_path = "/models/ggml-model-q4_0-00002-of-00004.gguf"
     //  Returns the split_path length.

From 554c247caffed64465f372661f2826640cb10430 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 4 Jun 2024 21:23:20 +0300
Subject: [PATCH 008/131] ggml : remove OpenCL (#7735)

ggml-ci
---
 .github/workflows/build.yml          |   36 +-
 CMakeLists.txt                       |   23 +-
 Makefile                             |   17 -
 README-sycl.md                       |    2 +-
 README.md                            |  116 +-
 common/common.cpp                    |    1 -
 examples/llama-bench/README.md       |    9 +-
 examples/llama-bench/llama-bench.cpp |   11 +-
 examples/main-cmake-pkg/README.md    |    8 +-
 flake.nix                            |    1 -
 ggml-metal.h                         |    2 +-
 ggml-opencl.cpp                      | 2305 --------------------------
 ggml-opencl.h                        |   36 -
 ggml.c                               |   62 +-
 ggml.h                               |    1 -
 llama.cpp                            |   10 +-
 scripts/LlamaConfig.cmake.in         |    5 -
 scripts/compare-llama-bench.py       |    6 +-
 scripts/server-llm.sh                |   11 +-
 scripts/sync-ggml-am.sh              |    4 -
 scripts/sync-ggml.sh                 |    2 -
 21 files changed, 29 insertions(+), 2639 deletions(-)
 delete mode 100644 ggml-opencl.cpp
 delete mode 100644 ggml-opencl.h

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index e824136a5..93669d531 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -688,8 +688,6 @@ jobs:
 
     env:
       OPENBLAS_VERSION: 0.3.23
-      OPENCL_VERSION: 2023.04.17
-      CLBLAST_VERSION: 1.6.0
       SDE_VERSION: 9.33.0-2024-01-07
       VULKAN_VERSION: 1.3.261.1
 
@@ -706,8 +704,6 @@ jobs:
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX2=OFF -DBUILD_SHARED_LIBS=ON'
           - build: 'avx512-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_AVX512=ON -DBUILD_SHARED_LIBS=ON'
-          - build: 'clblast-x64'
-            defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_CLBLAST=ON -DBUILD_SHARED_LIBS=ON -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/clblast"'
           - build: 'openblas-x64'
             defines: '-DLLAMA_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DLLAMA_BLAS=ON -DBUILD_SHARED_LIBS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"'
           - build: 'kompute-x64'
@@ -732,27 +728,6 @@ jobs:
         run: |
           git submodule update --init kompute
 
-      - name: Download OpenCL SDK
-        id: get_opencl
-        if: ${{ matrix.build == 'clblast-x64' }}
-        run: |
-          curl.exe -o $env:RUNNER_TEMP/opencl.zip -L "https://github.com/KhronosGroup/OpenCL-SDK/releases/download/v${env:OPENCL_VERSION}/OpenCL-SDK-v${env:OPENCL_VERSION}-Win-x64.zip"
-          mkdir $env:RUNNER_TEMP/opencl
-          tar.exe -xvf $env:RUNNER_TEMP/opencl.zip --strip-components=1 -C $env:RUNNER_TEMP/opencl
-
-      - name: Download CLBlast
-        id: get_clblast
-        if: ${{ matrix.build == 'clblast-x64' }}
-        run: |
-          curl.exe -o $env:RUNNER_TEMP/clblast.7z -L "https://github.com/CNugteren/CLBlast/releases/download/${env:CLBLAST_VERSION}/CLBlast-${env:CLBLAST_VERSION}-windows-x64.7z"
-          curl.exe -o $env:RUNNER_TEMP/CLBlast.LICENSE.txt -L "https://github.com/CNugteren/CLBlast/raw/${env:CLBLAST_VERSION}/LICENSE"
-          7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/clblast.7z
-          rename-item $env:RUNNER_TEMP/CLBlast-${env:CLBLAST_VERSION}-windows-x64 clblast
-          foreach ($f in (gci -Recurse -Path "$env:RUNNER_TEMP/clblast" -Filter '*.cmake')) {
-            $txt = Get-Content -Path $f -Raw
-            $txt.Replace('C:/vcpkg/packages/opencl_x64-windows/', "$($env:RUNNER_TEMP.Replace('\','/'))/opencl/") | Set-Content -Path $f -Encoding UTF8
-          }
-
       - name: Download OpenBLAS
         id: get_openblas
         if: ${{ matrix.build == 'openblas-x64' }}
@@ -786,13 +761,6 @@ jobs:
           cmake -S . -B build ${{ matrix.defines }}
           cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
 
-      - name: Add clblast.dll
-        id: add_clblast_dll
-        if: ${{ matrix.build == 'clblast-x64' }}
-        run: |
-          cp $env:RUNNER_TEMP/clblast/lib/clblast.dll ./build/bin/Release
-          cp $env:RUNNER_TEMP/CLBlast.LICENSE.txt ./build/bin/Release/CLBlast-${env:CLBLAST_VERSION}.txt
-
       - name: Add libopenblas.dll
         id: add_libopenblas_dll
         if: ${{ matrix.build == 'openblas-x64' }}
@@ -816,7 +784,7 @@ jobs:
       - name: Test
         id: cmake_test
         # not all machines have native AVX-512
-        if: ${{ matrix.build != 'msvc-arm64' && matrix.build != 'llvm-arm64' && matrix.build != 'clblast-x64' && matrix.build != 'kompute-x64' && matrix.build != 'vulkan-x64' && (matrix.build != 'avx512-x64' || env.HAS_AVX512F == '1') }}
+        if: ${{ matrix.build != 'msvc-arm64' && matrix.build != 'llvm-arm64' && matrix.build != 'kompute-x64' && matrix.build != 'vulkan-x64' && (matrix.build != 'avx512-x64' || env.HAS_AVX512F == '1') }}
         run: |
           cd build
           ctest -L main -C Release --verbose --timeout 900
@@ -1071,7 +1039,7 @@ jobs:
 #        hypervisor: 'qemu'
 #        run: |
 #            sudo pkg update
-#            sudo pkg install -y gmake automake autoconf pkgconf llvm15 clinfo clover opencl clblast openblas
+#            sudo pkg install -y gmake automake autoconf pkgconf llvm15 openblas
 #            gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j `sysctl -n hw.ncpu`
 
   release:
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 76ea27412..cf37d5bb2 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -111,7 +111,6 @@ option(LLAMA_CUDA_FA_ALL_QUANTS              "llama: compile all quants for Flas
 option(LLAMA_CURL                            "llama: use libcurl to download model from an URL" OFF)
 option(LLAMA_HIPBLAS                         "llama: use hipBLAS"                               OFF)
 option(LLAMA_HIP_UMA                         "llama: use HIP unified memory architecture"       OFF)
-option(LLAMA_CLBLAST                         "llama: use CLBlast"                               OFF)
 option(LLAMA_VULKAN                          "llama: use Vulkan"                                OFF)
 option(LLAMA_VULKAN_CHECK_RESULTS            "llama: run Vulkan op checks"                      OFF)
 option(LLAMA_VULKAN_DEBUG                    "llama: enable Vulkan debug output"                OFF)
@@ -502,22 +501,6 @@ if (LLAMA_RPC)
     set(GGML_SOURCES_RPC ggml-rpc.cpp)
 endif()
 
-if (LLAMA_CLBLAST)
-    find_package(CLBlast)
-    if (CLBlast_FOUND)
-        message(STATUS "CLBlast found")
-
-        set(GGML_HEADERS_OPENCL ggml-opencl.h)
-        set(GGML_SOURCES_OPENCL ggml-opencl.cpp)
-
-        add_compile_definitions(GGML_USE_CLBLAST)
-
-        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} clblast)
-    else()
-        message(WARNING "CLBlast not found")
-    endif()
-endif()
-
 if (LLAMA_VULKAN)
     find_package(Vulkan)
     if (Vulkan_FOUND)
@@ -1265,7 +1248,6 @@ add_library(ggml OBJECT
             ggml-quants.c
             ggml-quants.h
             ${GGML_SOURCES_CUDA}      ${GGML_HEADERS_CUDA}
-            ${GGML_SOURCES_OPENCL}    ${GGML_HEADERS_OPENCL}
             ${GGML_SOURCES_METAL}     ${GGML_HEADERS_METAL}
             ${GGML_SOURCES_RPC}       ${GGML_HEADERS_RPC}
             ${GGML_SOURCES_EXTRA}     ${GGML_HEADERS_EXTRA}
@@ -1353,8 +1335,9 @@ install(FILES ${CMAKE_CURRENT_BINARY_DIR}/LlamaConfig.cmake
         DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/Llama)
 
 set(GGML_PUBLIC_HEADERS "ggml.h" "ggml-alloc.h" "ggml-backend.h"
-        "${GGML_HEADERS_CUDA}"  "${GGML_HEADERS_OPENCL}"
-        "${GGML_HEADERS_METAL}" "${GGML_HEADERS_EXTRA}")
+        "${GGML_HEADERS_CUDA}"
+        "${GGML_HEADERS_METAL}"
+        "${GGML_HEADERS_EXTRA}")
 
 set_target_properties(ggml PROPERTIES PUBLIC_HEADER "${GGML_PUBLIC_HEADERS}")
 install(TARGETS ggml PUBLIC_HEADER)
diff --git a/Makefile b/Makefile
index 27eb69871..802ee6a47 100644
--- a/Makefile
+++ b/Makefile
@@ -547,23 +547,6 @@ ggml-cuda.o: ggml-cuda.cu ggml-cuda.h ggml.h ggml-backend.h ggml-backend-impl.h
 	$(NVCC_COMPILE)
 endif # LLAMA_CUDA
 
-ifdef LLAMA_CLBLAST
-	MK_CPPFLAGS += -DGGML_USE_CLBLAST $(shell pkg-config --cflags-only-I clblast OpenCL)
-	MK_CFLAGS   += $(shell pkg-config --cflags-only-other clblast OpenCL)
-	MK_CXXFLAGS += $(shell pkg-config --cflags-only-other clblast OpenCL)
-
-	# Mac provides OpenCL as a framework
-	ifeq ($(UNAME_S),Darwin)
-		MK_LDFLAGS += -lclblast -framework OpenCL
-	else
-		MK_LDFLAGS += $(shell pkg-config --libs clblast OpenCL)
-	endif
-	OBJS    += ggml-opencl.o
-
-ggml-opencl.o: ggml-opencl.cpp ggml-opencl.h
-	$(CXX) $(CXXFLAGS) -c $< -o $@
-endif # LLAMA_CLBLAST
-
 ifdef LLAMA_VULKAN
 	MK_CPPFLAGS  += -DGGML_USE_VULKAN
 	MK_LDFLAGS += -lvulkan
diff --git a/README-sycl.md b/README-sycl.md
index 37f0306dc..62b38135c 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -29,7 +29,7 @@ The llama.cpp SYCL backend is designed to support **Intel GPU** firstly. Based o
 
 When targeting **Intel CPU**, it is recommended to use llama.cpp for [Intel oneMKL](README.md#intel-onemkl) backend.
 
-It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, CLBlast etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose.
+It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose.
 
 ## News
 
diff --git a/README.md b/README.md
index 1f2d9b1f2..9d2a59d89 100644
--- a/README.md
+++ b/README.md
@@ -77,7 +77,7 @@ variety of hardware - locally and in the cloud.
 - AVX, AVX2 and AVX512 support for x86 architectures
 - 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
 - Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP)
-- Vulkan, SYCL, and (partial) OpenCL backend support
+- Vulkan and SYCL backend support
 - CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity
 
 Since its [inception](https://github.com/ggerganov/llama.cpp/issues/33#issuecomment-1465108022), the project has
@@ -371,16 +371,11 @@ In order to build llama.cpp you have four different options.
     3. Install compilation dependencies.
 
         ```bash
-        sudo pkg install gmake automake autoconf pkgconf llvm15 clinfo clover \
-            opencl clblast openblas
+        sudo pkg install gmake automake autoconf pkgconf llvm15 openblas
 
         gmake CC=/usr/local/bin/clang15 CXX=/usr/local/bin/clang++15 -j4
         ```
 
-    **Notes:** With this packages you can build llama.cpp with OPENBLAS and
-    CLBLAST support for use OpenCL GPU acceleration in FreeBSD. Please read
-    the instructions for use and activate this options in this document below.
-
 ### Homebrew
 
 On Mac and Linux, the homebrew package manager can be used via
@@ -399,7 +394,7 @@ argument.
 
 ### BLAS Build
 
-Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Support with CPU-only BLAS implementations doesn't affect the normal generation performance. We may see generation performance improvements with GPU-involved BLAS implementations, e.g. cuBLAS, hipBLAS and CLBlast. There are currently several different BLAS implementations available for build and use:
+Building the program with BLAS support may lead to some performance improvements in prompt processing using batch sizes higher than 32 (the default is 512). Support with CPU-only BLAS implementations doesn't affect the normal generation performance. We may see generation performance improvements with GPU-involved BLAS implementations, e.g. cuBLAS, hipBLAS. There are currently several different BLAS implementations available for build and use:
 
 - #### Accelerate Framework:
 
@@ -553,111 +548,6 @@ Building the program with BLAS support may lead to some performance improvements
   | LLAMA_CUDA_MMV_Y        | Positive integer       | 1       | Block size in y direction for the HIP mul mat vec kernels. Increasing this value can improve performance on fast GPUs. Power of 2 recommended. Does not affect k-quants.                                                                       |
   | LLAMA_CUDA_KQUANTS_ITER | 1 or 2                 | 2       | Number of values processed per iteration and per HIP thread for Q2_K and Q6_K quantization formats. Setting this value to 1 can improve performance for slow GPUs.                                                                             |
 
-- #### CLBlast
-
-  OpenCL acceleration is provided by the matrix multiplication kernels from the [CLBlast](https://github.com/CNugteren/CLBlast) project and custom kernels for ggml that can generate tokens on the GPU.
-
-  You will need the [OpenCL SDK](https://github.com/KhronosGroup/OpenCL-SDK).
-    - For Ubuntu, Debian, and Fedora the packages `opencl-headers`, `ocl-icd` may be needed.
-
-    - For Windows, a pre-built SDK is available on the [OpenCL Releases](https://github.com/KhronosGroup/OpenCL-SDK/releases) page.
-
-    - <details>
-        <summary>Installing the OpenCL SDK from source</summary>
-
-        ```sh
-        git clone --recurse-submodules https://github.com/KhronosGroup/OpenCL-SDK.git
-        cd OpenCL-SDK
-        cmake -B build -DBUILD_DOCS=OFF \
-          -DBUILD_EXAMPLES=OFF \
-          -DBUILD_TESTING=OFF \
-          -DOPENCL_SDK_BUILD_SAMPLES=OFF \
-          -DOPENCL_SDK_TEST_SAMPLES=OFF
-        cmake --build build
-        cmake --install build --prefix /some/path
-        ```
-      </details>
-
-  ##### Installing CLBlast
-
-  Pre-built CLBlast binaries may be found on the [CLBlast Releases](https://github.com/CNugteren/CLBlast/releases) page. For Unix variants, it may also be found in your operating system's packages.
-
-  Linux packaging:
-  Fedora Linux:
-  ```bash
-  sudo dnf install clblast
-  ```
-
-  Alternatively, they may be built from source.
-
-  - <details>
-    <summary>Windows:</summary>
-
-      ```cmd
-      set OPENCL_SDK_ROOT="C:/OpenCL-SDK-v2023.04.17-Win-x64"
-      git clone https://github.com/CNugteren/CLBlast.git
-      cd CLBlast
-      cmake -B build -DBUILD_SHARED_LIBS=OFF -DOVERRIDE_MSVC_FLAGS_TO_MT=OFF -DTUNERS=OFF -DOPENCL_ROOT=%OPENCL_SDK_ROOT% -G "Visual Studio 17 2022" -A x64
-      cmake --build build --config Release
-      cmake --install build --prefix C:/CLBlast
-      ```
-
-      (note: `--config Release` at build time is the default and only relevant for Visual Studio builds - or multi-config Ninja builds)
-
-  - <details>
-    <summary>Unix:</summary>
-
-      ```sh
-      git clone https://github.com/CNugteren/CLBlast.git
-      cd CLBlast
-      cmake -B build -DBUILD_SHARED_LIBS=OFF -DTUNERS=OFF
-      cmake --build build --config Release
-      cmake --install build --prefix /some/path
-      ```
-
-      Where `/some/path` is where the built library will be installed (default is `/usr/local`).
-    </details>
-
-  ##### Building Llama with CLBlast
-
-  - Build with make:
-    ```sh
-    make LLAMA_CLBLAST=1
-    ```
-  - CMake (Unix):
-    ```sh
-    cmake -B build -DLLAMA_CLBLAST=ON -DCLBlast_DIR=/some/path
-    cmake --build build --config Release
-    ```
-  - CMake (Windows):
-    ```cmd
-    set CL_BLAST_CMAKE_PKG="C:/CLBlast/lib/cmake/CLBlast"
-    git clone https://github.com/ggerganov/llama.cpp
-    cd llama.cpp
-    cmake -B build -DBUILD_SHARED_LIBS=OFF -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH=%CL_BLAST_CMAKE_PKG% -G "Visual Studio 17 2022" -A x64
-    cmake --build build --config Release
-    cmake --install build --prefix C:/LlamaCPP
-    ```
-
-  ##### Running Llama with CLBlast
-
-  The CLBlast build supports `--gpu-layers|-ngl` like the CUDA version does.
-
-  To select the correct platform (driver) and device (GPU), you can use the environment variables `GGML_OPENCL_PLATFORM` and `GGML_OPENCL_DEVICE`.
-  The selection can be a number (starting from 0) or a text string to search:
-
-  ```sh
-  GGML_OPENCL_PLATFORM=1 ./main ...
-  GGML_OPENCL_DEVICE=2 ./main ...
-  GGML_OPENCL_PLATFORM=Intel ./main ...
-  GGML_OPENCL_PLATFORM=AMD GGML_OPENCL_DEVICE=1 ./main ...
-  ```
-
-  The default behavior is to find the first GPU device, but when it is an integrated GPU on a laptop, for instance, the selectors are useful.
-  Using the variables it is possible to select a CPU-based driver as well, if so desired.
-
-  You can get a list of platforms and devices from the `clinfo -l` command, etc.
-
 - #### Vulkan
 
   **With docker**:
diff --git a/common/common.cpp b/common/common.cpp
index 022bfe287..df583db83 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -2844,7 +2844,6 @@ void yaml_dump_non_result_info(FILE * stream, const gpt_params & params, const l
     fprintf(stream, "cpu_has_avx512_vnni: %s\n", ggml_cpu_has_avx512_vnni() ? "true" : "false");
     fprintf(stream, "cpu_has_cuda: %s\n",        ggml_cpu_has_cuda()        ? "true" : "false");
     fprintf(stream, "cpu_has_vulkan: %s\n",      ggml_cpu_has_vulkan()      ? "true" : "false");
-    fprintf(stream, "cpu_has_clblast: %s\n",     ggml_cpu_has_clblast()     ? "true" : "false");
     fprintf(stream, "cpu_has_kompute: %s\n",     ggml_cpu_has_kompute()     ? "true" : "false");
     fprintf(stream, "cpu_has_fma: %s\n",         ggml_cpu_has_fma()         ? "true" : "false");
     fprintf(stream, "cpu_has_gpublas: %s\n",     ggml_cpu_has_gpublas()     ? "true" : "false");
diff --git a/examples/llama-bench/README.md b/examples/llama-bench/README.md
index 857840564..fd95b35f4 100644
--- a/examples/llama-bench/README.md
+++ b/examples/llama-bench/README.md
@@ -162,7 +162,7 @@ $ ./llama-bench -o csv
 ```
 
 ```csv
-build_commit,build_number,cuda,opencl,metal,gpu_blas,blas,cpu_info,gpu_info,model_filename,model_type,model_size,model_n_params,n_batch,n_threads,f16_kv,n_gpu_layers,main_gpu,mul_mat_q,tensor_split,n_prompt,n_gen,test_time,avg_ns,stddev_ns,avg_ts,stddev_ts
+build_commit,build_number,cuda,metal,gpu_blas,blas,cpu_info,gpu_info,model_filename,model_type,model_size,model_n_params,n_batch,n_threads,f16_kv,n_gpu_layers,main_gpu,mul_mat_q,tensor_split,n_prompt,n_gen,test_time,avg_ns,stddev_ns,avg_ts,stddev_ts
 "3469684","1275","1","0","0","1","1","13th Gen Intel(R) Core(TM) i9-13900K","NVIDIA GeForce RTX 3090 Ti","models/7B/ggml-model-q4_0.gguf","llama 7B mostly Q4_0","3825065984","6738415616","512","16","1","99","0","1","0.00","512","0","2023-09-23T12:09:01Z","212155977","732372","2413.341687","8.305961"
 "3469684","1275","1","0","0","1","1","13th Gen Intel(R) Core(TM) i9-13900K","NVIDIA GeForce RTX 3090 Ti","models/7B/ggml-model-q4_0.gguf","llama 7B mostly Q4_0","3825065984","6738415616","512","16","1","99","0","1","0.00","0","128","2023-09-23T12:09:02Z","969320879","2728399","132.052051","0.371342"
 ```
@@ -179,7 +179,6 @@ $ ./llama-bench -o json
     "build_commit": "3469684",
     "build_number": 1275,
     "cuda": true,
-    "opencl": false,
     "metal": false,
     "gpu_blas": true,
     "blas": true,
@@ -210,7 +209,6 @@ $ ./llama-bench -o json
     "build_commit": "3469684",
     "build_number": 1275,
     "cuda": true,
-    "opencl": false,
     "metal": false,
     "gpu_blas": true,
     "blas": true,
@@ -253,7 +251,6 @@ CREATE TABLE IF NOT EXISTS test (
   build_commit TEXT,
   build_number INTEGER,
   cuda INTEGER,
-  opencl INTEGER,
   metal INTEGER,
   gpu_blas INTEGER,
   blas INTEGER,
@@ -279,6 +276,6 @@ CREATE TABLE IF NOT EXISTS test (
   stddev_ts REAL
 );
 
-INSERT INTO test (build_commit, build_number, cuda, opencl, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '512', '0', '2023-09-23T12:10:30Z', '212693772', '743623', '2407.240204', '8.409634');
-INSERT INTO test (build_commit, build_number, cuda, opencl, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '0', '128', '2023-09-23T12:10:31Z', '977925003', '4037361', '130.891159', '0.537692');
+INSERT INTO test (build_commit, build_number, cuda, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '512', '0', '2023-09-23T12:10:30Z', '212693772', '743623', '2407.240204', '8.409634');
+INSERT INTO test (build_commit, build_number, cuda, metal, gpu_blas, blas, cpu_info, gpu_info, model_filename, model_type, model_size, model_n_params, n_batch, n_threads, f16_kv, n_gpu_layers, main_gpu, mul_mat_q, tensor_split, n_prompt, n_gen, test_time, avg_ns, stddev_ns, avg_ts, stddev_ts) VALUES ('3469684', '1275', '1', '0', '0', '1', '1', '13th Gen Intel(R) Core(TM) i9-13900K', 'NVIDIA GeForce RTX 3090 Ti', 'models/7B/ggml-model-q4_0.gguf', 'llama 7B mostly Q4_0', '3825065984', '6738415616', '512', '16', '1', '99', '0', '1', '0.00', '0', '128', '2023-09-23T12:10:31Z', '977925003', '4037361', '130.891159', '0.537692');
 ```
diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index 5d3cbd842..fa7ad1bdb 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -723,7 +723,6 @@ struct test {
     static const std::string build_commit;
     static const int build_number;
     static const bool cuda;
-    static const bool opencl;
     static const bool vulkan;
     static const bool kompute;
     static const bool metal;
@@ -812,9 +811,6 @@ struct test {
         if (cuda) {
             return GGML_CUDA_NAME;
         }
-        if (opencl) {
-            return "OpenCL";
-        }
         if (vulkan) {
             return "Vulkan";
         }
@@ -843,7 +839,7 @@ struct test {
     static const std::vector<std::string> & get_fields() {
         static const std::vector<std::string> fields = {
             "build_commit", "build_number",
-            "cuda", "opencl", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas", "blas",
+            "cuda", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas", "blas",
             "cpu_info", "gpu_info",
             "model_filename", "model_type", "model_size", "model_n_params",
             "n_batch", "n_ubatch",
@@ -869,7 +865,7 @@ struct test {
             field == "avg_ns" || field == "stddev_ns") {
             return INT;
         }
-        if (field == "cuda" || field == "opencl"  || field == "vulkan" || field == "kompute" || field == "metal" ||
+        if (field == "cuda" || field == "vulkan" || field == "kompute" || field == "metal" ||
             field == "gpu_blas" || field == "blas" || field == "sycl" ||field == "f16_kv" || field == "no_kv_offload" ||
             field == "flash_attn" || field == "use_mmap" || field == "embeddings") {
             return BOOL;
@@ -898,7 +894,7 @@ struct test {
         }
         std::vector<std::string> values = {
             build_commit, std::to_string(build_number),
-            std::to_string(cuda), std::to_string(opencl), std::to_string(vulkan), std::to_string(vulkan),
+            std::to_string(cuda), std::to_string(vulkan), std::to_string(vulkan),
             std::to_string(metal), std::to_string(sycl), std::to_string(rpc), std::to_string(gpu_blas), std::to_string(blas),
             cpu_info, gpu_info,
             model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params),
@@ -927,7 +923,6 @@ struct test {
 const std::string test::build_commit = LLAMA_COMMIT;
 const int         test::build_number = LLAMA_BUILD_NUMBER;
 const bool        test::cuda         = !!ggml_cpu_has_cuda();
-const bool        test::opencl       = !!ggml_cpu_has_clblast();
 const bool        test::vulkan       = !!ggml_cpu_has_vulkan();
 const bool        test::kompute      = !!ggml_cpu_has_kompute();
 const bool        test::metal        = !!ggml_cpu_has_metal();
diff --git a/examples/main-cmake-pkg/README.md b/examples/main-cmake-pkg/README.md
index edf20d8db..a88e92f23 100644
--- a/examples/main-cmake-pkg/README.md
+++ b/examples/main-cmake-pkg/README.md
@@ -8,16 +8,14 @@ Because this example is "outside of the source tree", it is important to first b
 
 ### Considerations
 
-When hardware acceleration libraries are used (e.g. CUDA, Metal, CLBlast, etc.), CMake must be able to locate the associated CMake package. In the example below, when building _main-cmake-pkg_ notice the `CMAKE_PREFIX_PATH` includes the Llama CMake package location _in addition to_ the CLBlast package—which was used when compiling _llama.cpp_.
+When hardware acceleration libraries are used (e.g. CUDA, Metal, etc.), CMake must be able to locate the associated CMake package.
 
 ### Build llama.cpp and install to C:\LlamaCPP directory
 
-In this case, CLBlast was already installed so the CMake package is referenced in `CMAKE_PREFIX_PATH`.
-
 ```cmd
 git clone https://github.com/ggerganov/llama.cpp
 cd llama.cpp
-cmake -B build -DBUILD_SHARED_LIBS=OFF -DLLAMA_CLBLAST=ON -DCMAKE_PREFIX_PATH=C:/CLBlast/lib/cmake/CLBlast -G "Visual Studio 17 2022" -A x64
+cmake -B build -DBUILD_SHARED_LIBS=OFF -G "Visual Studio 17 2022" -A x64
 cmake --build build --config Release
 cmake --install build --prefix C:/LlamaCPP
 ```
@@ -27,7 +25,7 @@ cmake --install build --prefix C:/LlamaCPP
 
 ```cmd
 cd ..\examples\main-cmake-pkg
-cmake -B build -DBUILD_SHARED_LIBS=OFF -DCMAKE_PREFIX_PATH="C:/CLBlast/lib/cmake/CLBlast;C:/LlamaCPP/lib/cmake/Llama" -G "Visual Studio 17 2022" -A x64
+cmake -B build -DBUILD_SHARED_LIBS=OFF -DCMAKE_PREFIX_PATH="C:/LlamaCPP/lib/cmake/Llama" -G "Visual Studio 17 2022" -A x64
 cmake --build build --config Release
 cmake --install build --prefix C:/MyLlamaApp
 ```
diff --git a/flake.nix b/flake.nix
index 9cd3756e5..0a52ea52e 100644
--- a/flake.nix
+++ b/flake.nix
@@ -159,7 +159,6 @@
                 windows = config.legacyPackages.llamaPackagesWindows.llama-cpp;
               }
               // lib.optionalAttrs pkgs.stdenv.isLinux {
-                opencl = config.packages.default.override { useOpenCL = true; };
                 cuda = config.legacyPackages.llamaPackagesCuda.llama-cpp;
 
                 mpi-cpu = config.packages.default.override { useMpi = true; };
diff --git a/ggml-metal.h b/ggml-metal.h
index a5c542189..e7543ae79 100644
--- a/ggml-metal.h
+++ b/ggml-metal.h
@@ -1,7 +1,7 @@
 // An interface allowing to compute ggml_cgraph with Metal
 //
 // This is a fully functional interface that extends ggml with GPU support for Apple devices.
-// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, OpenCL, etc.)
+// A similar interface can be created for other GPU backends (e.g. Vulkan, CUDA, etc.)
 //
 // How it works?
 //
diff --git a/ggml-opencl.cpp b/ggml-opencl.cpp
deleted file mode 100644
index e28566a7b..000000000
--- a/ggml-opencl.cpp
+++ /dev/null
@@ -1,2305 +0,0 @@
-#include "ggml.h"
-#include "ggml-opencl.h"
-#include "ggml-backend-impl.h"
-
-#include <array>
-#include <atomic>
-#include <cstdio>
-#include <cstdlib>
-#include <cstring>
-#include <limits>
-#include <sstream>
-#include <vector>
-
-#define CL_TARGET_OPENCL_VERSION 120
-#include <clblast.h>
-
-#if defined(_MSC_VER)
-#pragma warning(disable: 4244 4267) // possible loss of data
-#endif
-
-#define CL_DMMV_LOCAL_SIZE 32
-
-#ifndef K_QUANTS_PER_ITERATION
-#define K_QUANTS_PER_ITERATION 1
-#else
-static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2");
-#endif
-
-#define MULTILINE_QUOTE(...) #__VA_ARGS__
-static std::string program_source = MULTILINE_QUOTE(
-
-typedef char int8_t;
-typedef uchar uint8_t;
-typedef short int16_t;
-typedef ushort uint16_t;
-typedef int int32_t;
-typedef uint uint32_t;
-
-struct __attribute__ ((packed)) block_q4_0
-{
-    half d;
-    uint8_t qs[QK4_0 / 2];
-};
-
-struct __attribute__ ((packed)) block_q4_1
-{
-    half d;
-    half m;
-    uint8_t qs[QK4_1 / 2];
-};
-
-struct __attribute__ ((packed)) block_q5_0
-{
-    half d;
-    uint32_t qh;
-    uint8_t qs[QK5_0 / 2];
-};
-
-struct __attribute__ ((packed)) block_q5_1
-{
-    half d;
-    half m;
-    uint32_t qh;
-    uint8_t qs[QK5_1 / 2];
-};
-
-struct __attribute__ ((packed)) block_q8_0
-{
-    half d;
-    int8_t qs[QK8_0];
-};
-
-struct __attribute__((packed)) block_q2_K
-{
-    uint8_t scales[16];
-    uint8_t qs[64];
-    half d;
-    half dmin;
-};
-
-struct __attribute__((packed)) block_q3_K
-{
-    uint8_t hmask[32];
-    uint8_t qs[64];
-    uint8_t scales[12];
-    half d;
-};
-
-struct __attribute__((packed)) block_q4_K
-{
-    half d;
-    half dmin;
-    uint8_t scales[12];
-    uint8_t qs[128];
-};
-
-struct __attribute__((packed)) block_q5_K
-{
-    half d;
-    half dmin;
-    uint8_t scales[12];
-    uint8_t qh[32];
-    uint8_t qs[128];
-};
-
-struct __attribute__((packed)) block_q6_K
-{
-    uint8_t ql[128];
-    uint8_t qh[64];
-    int8_t scales[16];
-    half d;
-};
-
-__kernel void convert_fp16_to_fp32(__global half* x, __global float* y) {
-    const uint i = get_global_id(0);
-
-    y[i] = vload_half(0, &x[i]);
-}
-
-void dequantize_q4_0(__global const struct block_q4_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    const uint8_t vui = x[ib].qs[iqs];
-
-    const int8_t vi0 = vui & 0xF;
-    const int8_t vi1 = vui >> 4;
-
-    *v0 = (vi0 - 8)*d;
-    *v1 = (vi1 - 8)*d;
-}
-void dequantize_q4_1(__global const struct block_q4_1* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-    const float m = vload_half(0, &x[ib].m);
-
-    const uint8_t vui = x[ib].qs[iqs];
-
-    const int8_t vi0 = vui & 0xF;
-    const int8_t vi1 = vui >> 4;
-
-    *v0 = vi0*d + m;
-    *v1 = vi1*d + m;
-}
-void dequantize_q5_0(__global const struct block_q5_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    uint32_t qh = x[ib].qh;
-
-    const uint8_t xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const uint8_t xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    const int32_t x0 = ((x[ib].qs[iqs] & 0xf) | xh_0) - 16;
-    const int32_t x1 = ((x[ib].qs[iqs] >>  4) | xh_1) - 16;
-
-    *v0 = x0*d;
-    *v1 = x1*d;
-}
-void dequantize_q5_1(__global const struct block_q5_1* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-    const float m = vload_half(0, &x[ib].m);
-
-    uint32_t qh = x[ib].qh;
-
-    const uint8_t xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const uint8_t xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    const int32_t x0 = ((x[ib].qs[iqs] & 0xf) | xh_0);
-    const int32_t x1 = ((x[ib].qs[iqs] >>  4) | xh_1);
-
-    *v0 = x0*d + m;
-    *v1 = x1*d + m;
-}
-void dequantize_q8_0(__global const struct block_q8_0* x, const int ib, const int iqs, float* v0, float* v1) {
-    const float d = vload_half(0, &x[ib].d);
-
-    const int8_t vi0 = x[ib].qs[iqs + 0];
-    const int8_t vi1 = x[ib].qs[iqs + 1];
-
-    *v0 = vi0*d;
-    *v1 = vi1*d;
-}
-void convert_f16(__global half* x, const int ib, const int iqs, float* v0, float* v1){
-    *v0 = vload_half(0, &x[ib + 0]);
-    *v1 = vload_half(0, &x[ib + 1]);
-}
-);
-
-static std::string k_quants_source = MULTILINE_QUOTE(
-inline void get_scale_min_k4(int j, const __global uint8_t *q, uint8_t *d, uint8_t *m)
-{
-    if (j < 4)
-    {
-        *d = q[j] & 63;
-        *m = q[j + 4] & 63;
-    }
-    else
-    {
-        *d = (q[j + 4] & 0xF) | ((q[j - 4] >> 6) << 4);
-        *m = (q[j + 4] >> 4) | ((q[j - 0] >> 6) << 4);
-    }
-}
-
-__kernel void dequantize_block_q2_K(__global const struct block_q2_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int n = tid / 32;
-    const int l = tid - 32 * n;
-    const int is = 8 * n + l / 16;
-
-    const uint8_t q = x[i].qs[32 * n + l];
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * n;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    y[l + 0] = dall * (x[i].scales[is + 0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is + 0] >> 4);
-    y[l + 32] = dall * (x[i].scales[is + 2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is + 2] >> 4);
-    y[l + 64] = dall * (x[i].scales[is + 4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is + 4] >> 4);
-    y[l + 96] = dall * (x[i].scales[is + 6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is + 6] >> 4);
-}
-
-__kernel void dequantize_block_q3_K(__global const struct block_q3_K *x, __global float *yy)
-{
-    int r = get_local_id(0) / 4;
-    int i = get_group_id(0) + get_global_offset(0);
-    int tid = r / 2;
-    int is0 = r % 2;
-    int l0 = 16 * is0 + 4 * (get_local_id(0) % 4);
-    int n = tid / 4;
-    int j = tid - 4 * n;
-
-    uint8_t m = 1 << (4 * n + j);
-    int is = 8 * n + 2 * j + is0;
-    int shift = 2 * j;
-
-    int8_t us = is < 4 ? (x[i].scales[is - 0] & 0xF) | (((x[i].scales[is + 8] >> 0) & 3) << 4)
-              : is < 8 ? (x[i].scales[is - 0] & 0xF) | (((x[i].scales[is + 4] >> 2) & 3) << 4)
-              : is < 12  ? (x[i].scales[is - 8] >> 4) | (((x[i].scales[is + 0] >> 4) & 3) << 4)
-              : (x[i].scales[is - 8] >> 4) | (((x[i].scales[is - 4] >> 6) & 3) << 4);
-    float d_all = vload_half(0, &x[i].d);
-    float dl = d_all * (us - 32);
-
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * n + 32 * j;
-    const __global uint8_t *q = x[i].qs + 32 * n;
-    const __global uint8_t *hm = x[i].hmask;
-
-    for (int l = l0; l < l0 + 4; ++l)
-        y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
-}
-
-__kernel void dequantize_block_q4_K(__global const struct block_q4_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int il = tid / 8;
-    const int ir = tid % 8;
-    const int is = 2 * il;
-    const int n = 4;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 64 * il + n * ir;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    __global const uint8_t *q = x[i].qs + 32 * il + n * ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
-    float d1 = dall * sc;
-    float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
-    float d2 = dall * sc;
-    float m2 = dmin * m;
-    for (int l = 0; l < n; ++l)
-    {
-        y[l + 0] = d1 * (q[l] & 0xF) - m1;
-        y[l + 32] = d2 * (q[l] >> 4) - m2;
-    }
-}
-
-__kernel void dequantize_block_q5_K(__global const struct block_q5_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int il = tid / 16;
-    const int ir = tid % 16;
-    const int is = 2 * il;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 64 * il + 2 * ir;
-
-    const float dall = vload_half(0, &x[i].d);
-    const float dmin = vload_half(0, &x[i].dmin);
-
-    __global const uint8_t *ql = x[i].qs + 32 * il + 2 * ir;
-    __global const uint8_t *qh = x[i].qh + 2 * ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, &sc, &m);
-    const float d1 = dall * sc;
-    const float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, &sc, &m);
-    const float d2 = dall * sc;
-    const float m2 = dmin * m;
-
-    uint8_t hm = 1 << (2 * il);
-    y[0] = d1 * ((ql[0] & 0xF) + (qh[0] & hm ? 16 : 0)) - m1;
-    y[1] = d1 * ((ql[1] & 0xF) + (qh[1] & hm ? 16 : 0)) - m1;
-    hm <<= 1;
-    y[32] = d2 * ((ql[0] >> 4) + (qh[0] & hm ? 16 : 0)) - m2;
-    y[33] = d2 * ((ql[1] >> 4) + (qh[1] & hm ? 16 : 0)) - m2;
-}
-
-__kernel void dequantize_block_q6_K(__global const struct block_q6_K *x, __global float *yy)
-{
-    const int i = get_group_id(0) + get_global_offset(0);
-    const int tid = get_local_id(0);
-    const int ip = tid / 32;
-    const int il = tid - 32 * ip;
-    const int is = 8 * ip + il / 16;
-
-    __global float *y = yy + get_group_id(0) * QK_K + 128 * ip + il;
-
-    const float d = vload_half(0, &x[i].d);
-
-    __global const uint8_t *ql = x[i].ql + 64 * ip + il;
-    const uint8_t qh = x[i].qh[32 * ip + il];
-    __global const int8_t *sc = x[i].scales + is;
-
-    y[0] = d * sc[0] * ((int8_t)((ql[0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
-    y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
-    y[64] = d * sc[4] * ((int8_t)((ql[0] >> 4) | (((qh >> 4) & 3) << 4)) - 32);
-    y[96] = d * sc[6] * ((int8_t)((ql[32] >> 4) | (((qh >> 6) & 3) << 4)) - 32);
-}
-
-__kernel void dequantize_mul_mat_vec_q2_K(__global const struct block_q2_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q2_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...15
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0,1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15 or 0...14 in steps of 2
-    const int q_offset = 32*im + l0;
-    const int s_offset = 8*im;
-    const int y_offset = 128*im + l0;
-
-    tmp[16 * ix + tid] = 0;
-
-    uint32_t aux[4];
-    const uint8_t * d = (const uint8_t *)aux;
-    const uint8_t * m = (const uint8_t *)(aux + 2);
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y = yy + i * QK_K + y_offset;
-        __global const uint8_t * q = x[i].qs + q_offset;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint32_t * a = (__global const uint32_t *)(x[i].scales + s_offset);
-        aux[0] = a[0] & 0x0f0f0f0f;
-        aux[1] = a[1] & 0x0f0f0f0f;
-        aux[2] = (a[0] >> 4) & 0x0f0f0f0f;
-        aux[3] = (a[1] >> 4) & 0x0f0f0f0f;
-
-        float sum1 = 0, sum2 = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3)
-                  + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3)
-                  + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3)
-                  + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3)
-                  + y[l+16] * d[1] * ((q[l+16] >> 0) & 3)
-                  + y[l+48] * d[3] * ((q[l+16] >> 2) & 3)
-                  + y[l+80] * d[5] * ((q[l+16] >> 4) & 3)
-                  +y[l+112] * d[7] * ((q[l+16] >> 6) & 3);
-            sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6]
-                  + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7];
-
-        }
-        tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q3_K(__global const struct block_q3_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-    const uint16_t kmask1 = 0x0303;
-    const uint16_t kmask2 = 0x0f0f;
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q3_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0,1
-
-    const int n  = K_QUANTS_PER_ITERATION;               // iterations in the inner loop
-    const int step = 16/K_QUANTS_PER_ITERATION;
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0....15 or 0...7
-
-    const uint8_t m = 1 << (4*im);
-
-    const int l0 = n*in;                                 // 0...15 or 0...14 in steps of 2
-    const int q_offset =  32*im + l0;
-    const int y_offset = 128*im + l0;
-
-    uint16_t utmp[4];
-    const int8_t * s = (const int8_t *)utmp;
-
-    const uint16_t s_shift = 4*im;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y  = yy + i * QK_K + y_offset;
-        __global const uint8_t * q = x[i].qs + q_offset;
-        __global const uint8_t * h = x[i].hmask + l0;
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4);
-        utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4);
-
-        const float d = vload_half(0, &x[i].d);
-
-        float sum = 0;
-        for (int l = 0; l < n; ++l) {
-            sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4))
-                 + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4))
-                 + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4))
-                 + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4));
-            sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4))
-                 + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4))
-                 + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4))
-                + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4));
-        }
-        tmp[16 * ix + tid] += d * sum;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q4_K(__global const struct block_q4_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    //to rename it later, just to test now
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int row = get_group_id(0);
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...15
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;
-
-    const int step = 8/K_QUANTS_PER_ITERATION;
-
-    const int il  = tid/step;     // 0...3
-    const int ir  = tid - step*il;// 0...3
-    const int n   = 2*K_QUANTS_PER_ITERATION;
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-    __global const struct block_q4_K * x = xx + ib0;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const uint8_t * q1 = x[i].qs + q_offset;
-        __global const uint8_t * q2 = q1 + 64;
-        __global const float   * y1 = yy + i*QK_K + y_offset;
-        __global const float   * y2 = y1 + 128;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-        float4 s = (float4)(0.f);
-        float smin = 0;
-        for (int l = 0; l < n; ++l) {
-            s.x += y1[l] * (q1[l] & 0xF); s.y += y1[l+32] * (q1[l] >> 4);
-            s.z += y2[l] * (q2[l] & 0xF); s.w += y2[l+32] * (q2[l] >> 4);
-            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
-        }
-        tmp[16 * ix + tid] += dall * (s.x * sc[0] + s.y * sc[1] + s.z * sc[4] + s.w * sc[5]) - dmin * smin;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q5_K(__global const struct block_q5_K * xx, __local float* tmp, __global float* yy, __global float* dst, const int ncols) {
-
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int row = get_group_id(0);
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    const int tid = get_local_id(0)/2;  // 0...15
-    const int ix  = get_local_id(0)%2;
-
-    const int il  = tid/4;     // 0...3
-    const int ir  = tid - 4*il;// 0...3
-    const int n   = 2;
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    const uint8_t hm1  = 1 << (2*im);
-    const uint8_t hm2  = hm1 << 4;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-    __global const struct block_q5_K * x = xx + ib0;
-
-    tmp[16 * ix + tid] = 0;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2) {
-
-        __global const uint8_t * ql1 = x[i].qs + q_offset;
-        __global const uint8_t * ql2 = ql1 + 64;
-        __global const uint8_t * qh  = x[i].qh + l0;
-        __global const float   * y1  = yy + i*QK_K + y_offset;
-        __global const float   * y2  = y1 + 128;
-
-        const float dall = vload_half(0, &x[i].d);
-        const float dmin = vload_half(0, &x[i].dmin);
-
-        __global const uint16_t * a = (__global const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-        float4 sum = (float4)(0.f);
-        float smin = 0;
-        for (int l = 0; l < n; ++l) {
-            sum.x += y1[l+ 0] * ((ql1[l+ 0] & 0xF) + (qh[l+ 0] & (hm1 << 0) ? 16 : 0))
-                   + y1[l+16] * ((ql1[l+16] & 0xF) + (qh[l+16] & (hm1 << 0) ? 16 : 0));
-            sum.y += y1[l+32] * ((ql1[l+ 0] >>  4) + (qh[l+ 0] & (hm1 << 1) ? 16 : 0))
-                   + y1[l+48] * ((ql1[l+16] >>  4) + (qh[l+16] & (hm1 << 1) ? 16 : 0));
-            sum.z += y2[l+ 0] * ((ql2[l+ 0] & 0xF) + (qh[l+ 0] & (hm2 << 0) ? 16 : 0))
-                   + y2[l+16] * ((ql2[l+16] & 0xF) + (qh[l+16] & (hm2 << 0) ? 16 : 0));
-            sum.w += y2[l+32] * ((ql2[l+ 0] >>  4) + (qh[l+ 0] & (hm2 << 1) ? 16 : 0))
-                   + y2[l+48] * ((ql2[l+16] >>  4) + (qh[l+16] & (hm2 << 1) ? 16 : 0));
-            smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3]
-                  + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7];
-        }
-        tmp[16 * ix + tid] += dall * (sum.x * sc[0] + sum.y * sc[1] + sum.z * sc[4] + sum.w * sc[5]) - dmin * smin;
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-__kernel void dequantize_mul_mat_vec_q6_K(__global const struct block_q6_K * xx, __local float* tmp, __global const float * yy, __global float * dst, const int ncols) {
-
-    const int row = get_group_id(0);
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row + get_global_offset(0);
-
-    __global const struct block_q6_K * x = xx + ib0;
-
-    const int tid = get_local_id(0)/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const int ix  = get_local_id(0)%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-\n#if K_QUANTS_PER_ITERATION == 1\n
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
-    const int is = 0;
-
-\n#else\n
-
-    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
-    const int is = in / 4;
-
-\n#endif\n
-
-    const int ql_offset = 64*im + l0;
-    const int qh_offset = 32*im + l0;
-    const int s_offset  =  8*im + is;
-    const int y_offset = 128*im + l0;
-
-    tmp[16 * ix + tid] = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        __global const float   * y  = yy + i * QK_K + y_offset;
-        __global const uint8_t * ql = x[i].ql + ql_offset;
-        __global const uint8_t * qh = x[i].qh + qh_offset;
-        __global const int8_t  * s  = x[i].scales + s_offset;
-
-        const float d = vload_half(0, &x[i].d);
-
-\n#if K_QUANTS_PER_ITERATION == 1\n
-        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
-                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
-                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
-                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
-                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
-                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
-                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
-                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
-        tmp[16 * ix + tid] += sum;
-\n#else\n
-        float sum = 0;
-        for (int l = 0; l < 4; ++l) {
-            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
-                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
-                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
-                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
-        }
-        tmp[16 * ix + tid] += sum;
-\n#endif\n
-
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=16; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-);
-
-
-std::string dequant_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global X_TYPE* x, __global float* y) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0)*2;
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    const uint qk = QUANT_K;
-    const uint qr = QUANT_R;
-
-    const int ib = i/qk + get_global_offset(0); // block index
-    const int iqs = (i%qk)/qr; // quant index
-    const int iybs = i - i%qk; // y block start index
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-    // dequantize
-    float v0, v1;
-    DEQUANT_FUNC(x, ib, iqs, &v0, &v1);
-    y[iybs + iqs + 0] = v0;
-    y[iybs + iqs + y_offset] = v1;
-}
-);
-
-std::string dequant_mul_mat_vec_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global X_TYPE* x, __local float* tmp, __global float* y, __global float* dst, const int ncols) {
-    const int local_size = get_local_size(0);
-    const int row = get_group_id(0);
-    const int tid = get_local_id(0);
-
-    const uint qk = QUANT_K;
-    const uint qr = QUANT_R;
-
-    const int col_step = local_size * 2;
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-    x += get_global_offset(0);
-
-    tmp[tid] = 0;
-
-    for (int col = tid*2; col < ncols; col += col_step) {
-        const int ib = (row*ncols + col)/qk; // block index
-        const int iqs = (col%qk)/qr; // quant index
-        const int iybs = col - col%qk; // y block start index
-
-        // dequantize
-        float v0, v1;
-        DEQUANT_FUNC(x, ib, iqs, &v0, &v1);
-
-        // matrix multiplication
-        tmp[tid] += v0 * y[iybs + iqs + 0];
-        tmp[tid] += v1 * y[iybs + iqs + y_offset];
-    }
-
-    // sum up partial sums and write back result
-    barrier(CLK_LOCAL_MEM_FENCE);
-    for (int s=local_size/2; s>0; s>>=1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-    if (tid == 0) {
-        dst[row] = tmp[0];
-    }
-}
-
-);
-
-
-std::string mul_template = MULTILINE_QUOTE(
-__kernel void KERNEL_NAME(__global TYPE* x, const int x_offset, __global TYPE* y, const int y_offset, __global TYPE* dst, const int dst_offset, const int ky) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0);
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    dst[dst_offset + i] = x[x_offset + i] * y[y_offset + i%ky];
-}
-);
-
-std::string add_template = MULTILINE_QUOTE(
-__kernel void add_f32(__global float * x, const int x_offset, __global float * y, const int y_offset, __global float * dst, const int dst_offset, const int ky) {
-    const int i = get_group_id(0)*get_local_size(0) + get_local_id(0);
-
-    if (i >= get_global_size(0)) {
-        return;
-    }
-
-    dst[dst_offset + i] = x[x_offset + i] + y[y_offset + i%ky];
-}
-);
-
-#define CL_CHECK(err)                                               \
-    do {                                                            \
-        cl_int err_ = (err);                                        \
-        if (err_ != CL_SUCCESS) {                                   \
-            fprintf(stderr, "ggml_opencl: %s error %d at %s:%d\n",  \
-                #err, err_, __FILE__, __LINE__);                    \
-            exit(1);                                                \
-        }                                                           \
-    } while (0)
-
-#define CLBLAST_CHECK(err)                                          \
-    do {                                                            \
-        CLBlastStatusCode err_ = (err);                             \
-        if (err_ != CLBlastSuccess) {                               \
-            fprintf(stderr, "ggml_opencl: %s error %d at %s:%d\n",  \
-                #err, err_, __FILE__, __LINE__);                    \
-            exit(1);                                                \
-        }                                                           \
-    } while (0)
-
-std::array<std::string, 5> dequant_str_keys = {
-    "KERNEL_NAME", "X_TYPE", "QUANT_K", "QUANT_R", "DEQUANT_FUNC"
-};
-
-std::array<std::string, 30> dequant_str_values = {
-    "dequantize_row_q4_0", "struct block_q4_0", "QK4_0", "QR4_0", "dequantize_q4_0",
-    "dequantize_row_q4_1", "struct block_q4_1", "QK4_1", "QR4_1", "dequantize_q4_1",
-    "dequantize_row_q5_0", "struct block_q5_0", "QK5_0", "QR5_0", "dequantize_q5_0",
-    "dequantize_row_q5_1", "struct block_q5_1", "QK5_1", "QR5_1", "dequantize_q5_1",
-    "dequantize_row_q8_0", "struct block_q8_0", "QK8_0", "QR8_0", "dequantize_q8_0",
-    "convert_row_f16", "half", "1", "1", "convert_f16"
-};
-
-std::array<std::string, 30> dequant_mul_mat_vec_str_values = {
-    "dequantize_mul_mat_vec_q4_0", "struct block_q4_0", "QK4_0", "QR4_0", "dequantize_q4_0",
-    "dequantize_mul_mat_vec_q4_1", "struct block_q4_1", "QK4_1", "QR4_1", "dequantize_q4_1",
-    "dequantize_mul_mat_vec_q5_0", "struct block_q5_0", "QK5_0", "QR5_0", "dequantize_q5_0",
-    "dequantize_mul_mat_vec_q5_1", "struct block_q5_1", "QK5_1", "QR5_1", "dequantize_q5_1",
-    "dequantize_mul_mat_vec_q8_0", "struct block_q8_0", "QK8_0", "QR8_0", "dequantize_q8_0",
-    "convert_mul_mat_vec_f16", "half", "1", "1", "convert_f16"
-};
-
-std::array<std::string, 2> mul_str_keys = {
-    "KERNEL_NAME", "TYPE"
-};
-std::array<std::string, 2> mul_str_values = {
-    "mul_f32", "float"
-};
-
-static std::string& replace(std::string& s, const std::string& from, const std::string& to) {
-    size_t pos = 0;
-    while ((pos = s.find(from, pos)) != std::string::npos) {
-         s.replace(pos, from.length(), to);
-         pos += to.length();
-    }
-    return s;
-}
-
-static std::string generate_kernels() {
-    std::stringstream src;
-    src << program_source << '\n';
-    src << k_quants_source << '\n';
-    for (size_t i = 0; i < dequant_str_values.size(); i += dequant_str_keys.size()) {
-        std::string dequant_kernel = dequant_template;
-        std::string dmmv_kernel = dequant_mul_mat_vec_template;
-        for (size_t j = 0; j < dequant_str_keys.size(); j++) {
-            replace(dequant_kernel, dequant_str_keys[j], dequant_str_values[i + j]);
-            replace(dmmv_kernel, dequant_str_keys[j], dequant_mul_mat_vec_str_values[i + j]);
-        }
-        src << dequant_kernel << '\n';
-        src << dmmv_kernel << '\n';
-    }
-    for (size_t i = 0; i < mul_str_values.size(); i += mul_str_keys.size()) {
-        std::string mul_kernel = mul_template;
-        for (size_t j = 0; j < mul_str_keys.size(); j++) {
-            replace(mul_kernel, mul_str_keys[j], mul_str_values[i + j]);
-        }
-        src << mul_kernel << '\n';
-    }
-    src << add_template << '\n';
-
-    return src.str();
-}
-
-static cl_platform_id platform;
-static cl_device_id device;
-static cl_context context;
-static cl_command_queue queue;
-static cl_program program;
-static cl_kernel convert_row_f16_cl;
-static cl_kernel dequantize_row_q4_0_cl, dequantize_row_q4_1_cl, dequantize_row_q5_0_cl, dequantize_row_q5_1_cl, dequantize_row_q8_0_cl;
-static cl_kernel dequantize_mul_mat_vec_q4_0_cl, dequantize_mul_mat_vec_q4_1_cl, dequantize_mul_mat_vec_q5_0_cl, dequantize_mul_mat_vec_q5_1_cl, dequantize_mul_mat_vec_q8_0_cl, convert_mul_mat_vec_f16_cl;
-static cl_kernel dequantize_block_q2_k_cl, dequantize_block_q3_k_cl, dequantize_block_q4_k_cl, dequantize_block_q5_k_cl, dequantize_block_q6_k_cl;
-static cl_kernel dequantize_mul_mat_vec_q2_K_cl, dequantize_mul_mat_vec_q3_K_cl, dequantize_mul_mat_vec_q4_K_cl, dequantize_mul_mat_vec_q5_K_cl, dequantize_mul_mat_vec_q6_K_cl;
-static cl_kernel mul_f32_cl;
-static cl_kernel add_f32_cl;
-static bool fp16_support;
-
-static cl_program build_program_from_source(cl_context ctx, cl_device_id dev, const char* program_buffer) {
-    cl_program p;
-    char *program_log;
-    size_t program_size;
-    size_t log_size;
-    int err;
-
-    program_size = strlen(program_buffer);
-
-    p = clCreateProgramWithSource(ctx, 1, (const char**)&program_buffer, &program_size, &err);
-    if(err < 0) {
-        fprintf(stderr, "OpenCL error creating program");
-        exit(1);
-    }
-
-    std::string compile_opts = "-cl-mad-enable -cl-unsafe-math-optimizations -cl-finite-math-only -cl-fast-relaxed-math "
-                               "-DQK4_0=32 -DQR4_0=2 -DQK4_1=32 -DQR4_1=2 -DQK5_0=32 -DQR5_0=2 -DQK5_1=32 -DQR5_1=2 -DQK8_0=32 -DQR8_0=1 "
-                               "-DQK_K=256 -DK_QUANTS_PER_ITERATION=" + std::to_string(K_QUANTS_PER_ITERATION);
-
-    err = clBuildProgram(p, 0, NULL, compile_opts.c_str(), NULL, NULL);
-    if(err < 0) {
-
-        clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, 0, NULL, &log_size);
-        program_log = (char*) malloc(log_size + 1);
-        program_log[log_size] = '\0';
-        clGetProgramBuildInfo(p, dev, CL_PROGRAM_BUILD_LOG, log_size + 1, program_log, NULL);
-        fprintf(stderr, "ggml_opencl: kernel compile error:\n\n%s\n", program_log);
-        free(program_log);
-        exit(1);
-    }
-
-    return p;
-}
-
-void ggml_cl_init(void) {
-    static bool initialized = false;
-    if (initialized) {
-        return;
-    }
-    initialized = true;
-
-    cl_int err;
-
-    struct cl_device;
-    struct cl_platform {
-        cl_platform_id id;
-        unsigned number;
-        char name[128];
-        char vendor[128];
-        struct cl_device * devices;
-        unsigned n_devices;
-        struct cl_device * default_device;
-    };
-
-    struct cl_device {
-        struct cl_platform * platform;
-        cl_device_id id;
-        unsigned number;
-        cl_device_type type;
-        char name[128];
-    };
-
-    enum { NPLAT = 16, NDEV = 16 };
-
-    struct cl_platform platforms[NPLAT];
-    unsigned n_platforms = 0;
-    struct cl_device devices[NDEV];
-    unsigned n_devices = 0;
-    struct cl_device * default_device = NULL;
-
-    platform = NULL;
-    device = NULL;
-
-    cl_platform_id platform_ids[NPLAT];
-    CL_CHECK(clGetPlatformIDs(NPLAT, platform_ids, &n_platforms));
-
-    for (unsigned i = 0; i < n_platforms; i++) {
-        struct cl_platform * p = &platforms[i];
-        p->number = i;
-        p->id = platform_ids[i];
-        CL_CHECK(clGetPlatformInfo(p->id, CL_PLATFORM_NAME, sizeof(p->name), &p->name, NULL));
-        CL_CHECK(clGetPlatformInfo(p->id, CL_PLATFORM_VENDOR, sizeof(p->vendor), &p->vendor, NULL));
-
-        cl_device_id device_ids[NDEV];
-        cl_int clGetDeviceIDsError = clGetDeviceIDs(p->id, CL_DEVICE_TYPE_ALL, NDEV, device_ids, &p->n_devices);
-        if (clGetDeviceIDsError == CL_DEVICE_NOT_FOUND) {
-            p->n_devices = 0;
-        } else {
-            CL_CHECK(clGetDeviceIDsError);
-        }
-        p->devices = p->n_devices > 0 ? &devices[n_devices] : NULL;
-        p->default_device = NULL;
-
-        for (unsigned j = 0; j < p->n_devices; j++) {
-            struct cl_device * d = &devices[n_devices];
-            d->number = n_devices++;
-            d->id = device_ids[j];
-            d->platform = p;
-            CL_CHECK(clGetDeviceInfo(d->id, CL_DEVICE_NAME, sizeof(d->name), &d->name, NULL));
-            CL_CHECK(clGetDeviceInfo(d->id, CL_DEVICE_TYPE, sizeof(d->type), &d->type, NULL));
-
-            if (p->default_device == NULL && d->type == CL_DEVICE_TYPE_GPU) {
-                p->default_device = d;
-            }
-        }
-
-        if (default_device == NULL && p->default_device != NULL) {
-            default_device = p->default_device;
-        }
-    }
-
-    if (n_devices == 0) {
-        fprintf(stderr, "ggml_opencl: could find any OpenCL devices.\n");
-        exit(1);
-    }
-
-    char * user_platform_string = getenv("GGML_OPENCL_PLATFORM");
-    char * user_device_string = getenv("GGML_OPENCL_DEVICE");
-    int user_platform_number = -1;
-    int user_device_number = -1;
-
-    unsigned n;
-    if (user_platform_string != NULL && sscanf(user_platform_string, " %u", &n) == 1 && n < n_platforms) {
-        user_platform_number = (int)n;
-    }
-    if (user_device_string != NULL && sscanf(user_device_string, " %u", &n) == 1 && n < n_devices) {
-        user_device_number = (int)n;
-    }
-    if (user_platform_number != -1 && user_device_number != -1) {
-        cl_platform* platform = &platforms[user_platform_number];
-        if ((unsigned)user_device_number >= platform->n_devices) {
-            fprintf(stderr, "ggml_opencl: invalid device number %d\n", user_device_number);
-            exit(1);
-        }
-        default_device = &platform->devices[user_device_number];
-    } else {
-
-        struct cl_device * selected_devices = devices;
-        unsigned n_selected_devices = n_devices;
-
-        if (user_platform_number == -1 && user_platform_string != NULL && user_platform_string[0] != 0) {
-            for (unsigned i = 0; i < n_platforms; i++) {
-                struct cl_platform * p = &platforms[i];
-                if (strstr(p->name, user_platform_string) != NULL ||
-                    strstr(p->vendor, user_platform_string) != NULL) {
-                    user_platform_number = (int)i;
-                    break;
-                }
-            }
-            if (user_platform_number == -1) {
-                fprintf(stderr, "ggml_opencl: no platform matching '%s' was found.\n", user_platform_string);
-                exit(1);
-            }
-        }
-        if (user_platform_number != -1) {
-            struct cl_platform * p = &platforms[user_platform_number];
-            selected_devices = p->devices;
-            n_selected_devices = p->n_devices;
-            default_device = p->default_device;
-            if (n_selected_devices == 0) {
-                fprintf(stderr, "ggml_opencl: selected platform '%s' does not have any devices.\n", p->name);
-                exit(1);
-            }
-        }
-
-        if (user_device_number == -1 && user_device_string != NULL && user_device_string[0] != 0) {
-            for (unsigned i = 0; i < n_selected_devices; i++) {
-                struct cl_device * d = &selected_devices[i];
-                if (strstr(d->name, user_device_string) != NULL) {
-                    user_device_number = d->number;
-                    break;
-                }
-            }
-            if (user_device_number == -1) {
-                fprintf(stderr, "ggml_opencl: no device matching '%s' was found.\n", user_device_string);
-                exit(1);
-            }
-        }
-        if (user_device_number != -1) {
-            selected_devices = &devices[user_device_number];
-            n_selected_devices = 1;
-            default_device = &selected_devices[0];
-        }
-
-        GGML_ASSERT(n_selected_devices > 0);
-
-        if (default_device == NULL) {
-            default_device = &selected_devices[0];
-        }
-    }
-
-    fprintf(stderr, "ggml_opencl: selecting platform: '%s'\n", default_device->platform->name);
-    fprintf(stderr, "ggml_opencl: selecting device: '%s'\n", default_device->name);
-    if (default_device->type != CL_DEVICE_TYPE_GPU) {
-        fprintf(stderr, "ggml_opencl: warning, not a GPU: '%s'.\n", default_device->name);
-    }
-
-    platform = default_device->platform->id;
-    device = default_device->id;
-
-    size_t ext_str_size;
-    clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, 0, NULL, &ext_str_size);
-    char *ext_buffer = (char *)alloca(ext_str_size + 1);
-    clGetDeviceInfo(device, CL_DEVICE_EXTENSIONS, ext_str_size, ext_buffer, NULL);
-    ext_buffer[ext_str_size] = '\0'; // ensure it is null terminated
-    // Disabled due to faulty outputs
-    // Check if ext_buffer contains cl_khr_fp16
-    fp16_support = false;  // strstr(ext_buffer, "cl_khr_fp16") != NULL;
-    // fprintf(stderr, "ggml_opencl: device FP16 support: %s\n", fp16_support ? "true" : "false");
-
-    cl_context_properties properties[] = {
-        (intptr_t)CL_CONTEXT_PLATFORM, (intptr_t)platform, 0
-    };
-
-    CL_CHECK((context = clCreateContext(properties, 1, &device, NULL, NULL, &err), err));
-
-    CL_CHECK((queue = clCreateCommandQueue(context, device, CL_QUEUE_OUT_OF_ORDER_EXEC_MODE_ENABLE, &err),
-        (err != CL_INVALID_QUEUE_PROPERTIES && err != CL_INVALID_VALUE ? err :
-        (queue = clCreateCommandQueue(context, device, 0, &err), err)
-    )));
-
-    const std::string kernel_src = generate_kernels();
-
-    program = build_program_from_source(context, device, kernel_src.c_str());
-
-    // FP16 to FP32 kernel
-    CL_CHECK((convert_row_f16_cl = clCreateKernel(program, "convert_row_f16", &err), err));
-
-    // Dequantize kernels
-    CL_CHECK((dequantize_row_q4_0_cl = clCreateKernel(program, "dequantize_row_q4_0", &err), err));
-    CL_CHECK((dequantize_row_q4_1_cl = clCreateKernel(program, "dequantize_row_q4_1", &err), err));
-    CL_CHECK((dequantize_row_q5_0_cl = clCreateKernel(program, "dequantize_row_q5_0", &err), err));
-    CL_CHECK((dequantize_row_q5_1_cl = clCreateKernel(program, "dequantize_row_q5_1", &err), err));
-    CL_CHECK((dequantize_row_q8_0_cl = clCreateKernel(program, "dequantize_row_q8_0", &err), err));
-    CL_CHECK((dequantize_row_q8_0_cl = clCreateKernel(program, "dequantize_row_q8_0", &err), err));
-    CL_CHECK((dequantize_block_q2_k_cl = clCreateKernel(program, "dequantize_block_q2_K", &err), err));
-    CL_CHECK((dequantize_block_q3_k_cl = clCreateKernel(program, "dequantize_block_q3_K", &err), err));
-    CL_CHECK((dequantize_block_q4_k_cl = clCreateKernel(program, "dequantize_block_q4_K", &err), err));
-    CL_CHECK((dequantize_block_q5_k_cl = clCreateKernel(program, "dequantize_block_q5_K", &err), err));
-    CL_CHECK((dequantize_block_q6_k_cl = clCreateKernel(program, "dequantize_block_q6_K", &err), err));
-
-    // dequant mul mat kernel
-    CL_CHECK((dequantize_mul_mat_vec_q4_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_0", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q4_1_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_1", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_0", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_1_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_1", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q8_0_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q8_0", &err), err));
-    CL_CHECK((convert_mul_mat_vec_f16_cl = clCreateKernel(program, "convert_mul_mat_vec_f16", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q2_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q2_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q3_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q3_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q4_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q4_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q5_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q5_K", &err), err));
-    CL_CHECK((dequantize_mul_mat_vec_q6_K_cl = clCreateKernel(program, "dequantize_mul_mat_vec_q6_K", &err), err));
-
-    // mul kernel
-    CL_CHECK((mul_f32_cl = clCreateKernel(program, "mul_f32", &err), err));
-
-    CL_CHECK((add_f32_cl = clCreateKernel(program, "add_f32", &err), err));
-}
-
-static cl_kernel* ggml_get_to_fp32_cl(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return &dequantize_row_q4_0_cl;
-        case GGML_TYPE_Q4_1:
-            return &dequantize_row_q4_1_cl;
-        case GGML_TYPE_Q5_0:
-            return &dequantize_row_q5_0_cl;
-        case GGML_TYPE_Q5_1:
-            return &dequantize_row_q5_1_cl;
-        case GGML_TYPE_Q8_0:
-            return &dequantize_row_q8_0_cl;
-        case GGML_TYPE_Q2_K:
-            return &dequantize_block_q2_k_cl;
-        case GGML_TYPE_Q3_K:
-            return &dequantize_block_q3_k_cl;
-        case GGML_TYPE_Q4_K:
-            return &dequantize_block_q4_k_cl;
-        case GGML_TYPE_Q5_K:
-            return &dequantize_block_q5_k_cl;
-        case GGML_TYPE_Q6_K:
-            return &dequantize_block_q6_k_cl;
-        case GGML_TYPE_F16:
-            return &convert_row_f16_cl;
-        default:
-            return nullptr;
-    }
-}
-
-static size_t ggml_cl_global_denom(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return 1;
-        case GGML_TYPE_Q2_K:
-        case GGML_TYPE_Q3_K:
-            return 4;
-        case GGML_TYPE_Q4_K:
-            return 8;
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_Q6_K:
-            return 4;
-        case GGML_TYPE_F16:
-        default:
-            return 1;
-    }
-}
-
-static size_t ggml_cl_local_size(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return 0;
-        case GGML_TYPE_Q2_K:
-        case GGML_TYPE_Q3_K:
-            return 64;
-        case GGML_TYPE_Q4_K:
-            return 32;
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_Q6_K:
-            return 64;
-        case GGML_TYPE_F16:
-        default:
-            return 0;
-    }
-}
-
-static cl_kernel* ggml_get_dequantize_mul_mat_vec_cl(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return &dequantize_mul_mat_vec_q4_0_cl;
-        case GGML_TYPE_Q4_1:
-            return &dequantize_mul_mat_vec_q4_1_cl;
-        case GGML_TYPE_Q5_0:
-            return &dequantize_mul_mat_vec_q5_0_cl;
-        case GGML_TYPE_Q5_1:
-            return &dequantize_mul_mat_vec_q5_1_cl;
-        case GGML_TYPE_Q8_0:
-            return &dequantize_mul_mat_vec_q8_0_cl;
-        case GGML_TYPE_F16:
-            return &convert_mul_mat_vec_f16_cl;
-        case GGML_TYPE_Q2_K:
-            return &dequantize_mul_mat_vec_q2_K_cl;
-        case GGML_TYPE_Q3_K:
-            return &dequantize_mul_mat_vec_q3_K_cl;
-        case GGML_TYPE_Q4_K:
-            return &dequantize_mul_mat_vec_q4_K_cl;
-        case GGML_TYPE_Q5_K:
-            return &dequantize_mul_mat_vec_q5_K_cl;
-        case GGML_TYPE_Q6_K:
-            return &dequantize_mul_mat_vec_q6_K_cl;
-        default:
-            return nullptr;
-    }
-}
-
-// buffer pool for cl
-#define MAX_CL_BUFFERS 256
-
-struct scoped_spin_lock {
-    std::atomic_flag& lock;
-    scoped_spin_lock(std::atomic_flag& lock) : lock(lock) {
-        while (lock.test_and_set(std::memory_order_acquire)) {
-            ; // spin
-        }
-    }
-    ~scoped_spin_lock() {
-        lock.clear(std::memory_order_release);
-    }
-    scoped_spin_lock(const scoped_spin_lock&) = delete;
-    scoped_spin_lock& operator=(const scoped_spin_lock&) = delete;
-};
-
-struct cl_buffer {
-    cl_mem mem;
-    size_t size = 0;
-};
-
-static cl_buffer g_cl_buffer_pool[MAX_CL_BUFFERS];
-static std::atomic_flag g_cl_pool_lock = ATOMIC_FLAG_INIT;
-
-static cl_mem ggml_cl_pool_malloc(size_t size, size_t * actual_size) {
-    scoped_spin_lock lock(g_cl_pool_lock);
-    cl_int err;
-
-    int best_i = -1;
-    size_t best_size = std::numeric_limits<size_t>::max(); //smallest unused buffer that fits our needs
-    int worst_i = -1;
-    size_t worst_size = 0; //largest unused buffer seen so far
-    for (int i = 0; i < MAX_CL_BUFFERS; ++i) {
-        cl_buffer &b = g_cl_buffer_pool[i];
-        if (b.size > 0 && b.size >= size && b.size < best_size)
-        {
-            best_i = i;
-            best_size = b.size;
-        }
-        if (b.size > 0 && b.size > worst_size)
-        {
-            worst_i = i;
-            worst_size = b.size;
-        }
-    }
-    if(best_i!=-1) //found the smallest buffer that fits our needs
-    {
-        cl_buffer& b = g_cl_buffer_pool[best_i];
-        cl_mem mem = b.mem;
-        *actual_size = b.size;
-        b.size = 0;
-        return mem;
-    }
-    if(worst_i!=-1) //no buffer that fits our needs, resize largest one to save memory
-    {
-         cl_buffer& b = g_cl_buffer_pool[worst_i];
-         cl_mem mem = b.mem;
-         b.size = 0;
-         clReleaseMemObject(mem);
-    }
-    cl_mem mem;
-    CL_CHECK((mem = clCreateBuffer(context, CL_MEM_READ_WRITE, size, NULL, &err), err));
-    *actual_size = size;
-    return mem;
-}
-
-static void ggml_cl_pool_free(cl_mem mem, size_t size) {
-    scoped_spin_lock lock(g_cl_pool_lock);
-
-    for (int i = 0; i < MAX_CL_BUFFERS; ++i) {
-        cl_buffer& b = g_cl_buffer_pool[i];
-        if (b.size == 0) {
-            b.mem = mem;
-            b.size = size;
-            return;
-        }
-    }
-    fprintf(stderr, "WARNING: cl buffer pool full, increase MAX_CL_BUFFERS\n");
-    clReleaseMemObject(mem);
-}
-
-void ggml_cl_free_data(const struct ggml_tensor* tensor) {
-    if (tensor->backend != GGML_BACKEND_TYPE_GPU) {
-        return;
-    }
-
-    cl_mem mem = (cl_mem)tensor->extra;
-    clReleaseMemObject(mem);
-}
-
-static cl_int ggml_cl_h2d_tensor_2d(cl_command_queue queue, cl_mem dst, size_t offset, const struct ggml_tensor * src, uint64_t i3, uint64_t i2, cl_event* ev) {
-    cl_int err;
-    const uint64_t ne0 = src->ne[0];
-    const uint64_t ne1 = src->ne[1];
-    const uint64_t nb0 = src->nb[0];
-    const uint64_t nb1 = src->nb[1];
-    const uint64_t nb2 = src->nb[2];
-    const uint64_t nb3 = src->nb[3];
-    const enum ggml_type type = src->type;
-    const size_t ts = ggml_type_size(type);
-    const size_t bs = ggml_blck_size(type);
-    const uint64_t row_size = ts*ne0/bs;
-
-    const char * x = (const char *) src->data + i2*nb2 + i3*nb3;
-    if (nb0 == ts && nb1 == row_size) {
-        return clEnqueueWriteBuffer(queue, dst, CL_FALSE, offset, ne1*row_size, x, 0, NULL, ev);
-    }
-    if (nb0 == ts) {
-        const size_t buffer_origin[3] = { offset, 0, 0 };
-        const size_t host_origin[3] = { 0, 0, 0 };
-        const size_t region[3] = { row_size, ne1, 1 };
-        return clEnqueueWriteBufferRect(queue, dst, CL_FALSE, buffer_origin, host_origin, region, row_size, 0, nb1, 0, x, 0, NULL, ev);
-    }
-    std::vector<cl_event> events;
-    if (ev && ne1>1) events.reserve(ne1-1);
-    for (uint64_t i1 = 0; i1 < ne1; i1++) {
-        // pretend the row is a matrix with cols=1
-        const size_t buffer_origin[3] = { offset + i1*row_size, 0, 0 };
-        const size_t host_origin[3] = { 0, 0, 0 };
-        const size_t region[3] = { ts, ne0/bs, 1 };
-        // if an event is requested, make the last write wait for all previous writes to complete
-        if (ev && i1) {
-            events.push_back(*ev);
-        }
-        cl_uint nevents = i1 == ne1-1 ? events.size() : 0U;
-        err = clEnqueueWriteBufferRect(queue, dst, CL_FALSE, buffer_origin, host_origin, region, ts, 0, nb0, 0, x + i1*nb1, nevents, nevents ? events.data() : nullptr, ev);
-        if (err != CL_SUCCESS) {
-            for (auto event : events) {
-                clReleaseEvent(event);
-            }
-            return err;
-        }
-    }
-    for (auto event : events) {
-        CL_CHECK(clReleaseEvent(event));
-    }
-    return CL_SUCCESS;
-}
-
-static void ggml_cl_mul_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    size_t x_size;
-    size_t d_size;
-
-    cl_mem d_X = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &x_size); // src0
-    cl_mem d_Y = (cl_mem) src1->extra; // src1 is already on device, broadcasted.
-    cl_mem d_D = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &d_size); // dst
-
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        for (int64_t i02 = 0; i02 < ne02; i02++) {
-            cl_event ev;
-
-            // copy src0 to device
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, &ev));
-
-            const int64_t i13 = i03%ne13;
-            const int64_t i12 = i02%ne12;
-            const int i1 = i13*ne12*ne11 + i12*ne11;
-
-            cl_int x_offset = 0;
-            cl_int y_offset = i1*ne10;
-            cl_int d_offset = 0;
-
-            size_t global = ne00 * ne01;
-            cl_int ky = ne10 * ne11;
-
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 0, sizeof(cl_mem), &d_X));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 1, sizeof(cl_int), &x_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 2, sizeof(cl_mem), &d_Y));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 3, sizeof(cl_int), &y_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 4, sizeof(cl_mem), &d_D));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 5, sizeof(cl_int), &d_offset));
-            CL_CHECK(clSetKernelArg(mul_f32_cl, 6, sizeof(cl_int), &ky));
-            CL_CHECK(clEnqueueNDRangeKernel(queue, mul_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL));
-
-            CL_CHECK(clReleaseEvent(ev));
-            CL_CHECK(clFinish(queue));
-
-            // copy dst to host
-            float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
-            CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * ne00*ne01, d, 0, NULL, NULL));
-        }
-    }
-    ggml_cl_pool_free(d_X, x_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-void ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
-    ggml_cl_mul_f32(src0, src1, dst);
-}
-
-static void ggml_cl_add_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    size_t x_size;
-    size_t d_size;
-
-    cl_mem d_X = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &x_size); // src0
-    cl_mem d_Y = (cl_mem) src1->extra; // src1 is already on device, broadcasted.
-    cl_mem d_D = ggml_cl_pool_malloc(ne00 * ne01 * sizeof(float), &d_size); // dst
-
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        for (int64_t i02 = 0; i02 < ne02; i02++) {
-            cl_event ev;
-
-            // copy src0 to device
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, &ev));
-
-            const int64_t i13 = i03%ne13;
-            const int64_t i12 = i02%ne12;
-            const int i1 = i13*ne12*ne11 + i12*ne11;
-
-            cl_int x_offset = 0;
-            cl_int y_offset = i1*ne10;
-            cl_int d_offset = 0;
-
-            size_t global = ne00 * ne01;
-            cl_int ky = ne10 * ne11;
-
-            CL_CHECK(clSetKernelArg(add_f32_cl, 0, sizeof(cl_mem), &d_X));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 1, sizeof(cl_int), &x_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 2, sizeof(cl_mem), &d_Y));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 3, sizeof(cl_int), &y_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 4, sizeof(cl_mem), &d_D));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 5, sizeof(cl_int), &d_offset));
-            CL_CHECK(clSetKernelArg(add_f32_cl, 6, sizeof(cl_int), &ky));
-            CL_CHECK(clEnqueueNDRangeKernel(queue, add_f32_cl, 1, NULL, &global, NULL, 1, &ev, NULL));
-
-            CL_CHECK(clReleaseEvent(ev));
-            CL_CHECK(clFinish(queue));
-
-            // copy dst to host
-            float * d = (float *) ((char *) dst->data + i02*nb2 + i03*nb3);
-            CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * ne00*ne01, d, 0, NULL, NULL));
-        }
-    }
-    ggml_cl_pool_free(d_X, x_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-void ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    GGML_ASSERT(src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32);
-    ggml_cl_add_f32(src0, src1, dst);
-}
-
-static void ggml_cl_mul_mat_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const float alpha = 1.0f;
-    const float beta = 0.0f;
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    cl_mem d_X;
-    if (src0->backend == GGML_BACKEND_TYPE_GPU) { // NOLINT
-        d_X = (cl_mem) src0->extra;
-    } else {
-        d_X = ggml_cl_pool_malloc(sizeof(float) * x_ne, &x_size);
-    }
-    cl_mem d_Y = src1->backend == GGML_BACKEND_TYPE_GPU ? (cl_mem) src1->extra : ggml_cl_pool_malloc(sizeof(float) * y_ne, &y_size);
-    cl_mem d_D =  dst->backend == GGML_BACKEND_TYPE_GPU ? (cl_mem)  dst->extra : ggml_cl_pool_malloc(sizeof(float) * d_ne, &d_size);
-
-    size_t x_offset = 0;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    x_offset = (i03 * ne02 + i02) * x_ne;
-                } else {
-                    // copy src0 to device
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, NULL));
-                }
-
-                for (int64_t i12 = i02 * r2, e12 = i12 + r2; i12 < e12; i12++) {
-                    // copy src1 to device
-                    if (src1->backend == GGML_BACKEND_TYPE_CPU) {
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, NULL));
-                    }
-
-                    CL_CHECK(clFinish(queue));
-
-                    // compute
-                    cl_event ev_sgemm;
-                    clblast::StatusCode status = clblast::Gemm<cl_float>(clblast::Layout::kColMajor,
-                                                               clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                               ne01, ne11, ne10,
-                                                               alpha,
-                                                               d_X, x_offset, ne00,
-                                                               d_Y, 0, ne10,
-                                                               beta,
-                                                               d_D, 0, ne01,
-                                                               &queue, &ev_sgemm);
-
-                    if (status != clblast::StatusCode::kSuccess) {
-                        GGML_ASSERT(false);
-                    }
-
-                    // copy dst to host
-                    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                        float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                        CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &ev_sgemm, NULL));
-                    }
-                }
-            }
-        }
-    }
-
-    if (src0->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    if (src1->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_Y, y_size);
-    }
-    if (dst->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_D, d_size);
-    }
-}
-
-static void ggml_cl_mul_mat_f16(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, void * wdata, size_t wsize) {
-    GGML_ASSERT(fp16_support);
-
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb10 = src1->nb[0];
-    const int nb11 = src1->nb[1];
-    const int nb12 = src1->nb[2];
-    const int nb13 = src1->nb[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const ggml_fp16_t alpha = ggml_fp32_to_fp16(1.0f);
-    const ggml_fp16_t beta = ggml_fp32_to_fp16(0.0f);
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-
-    GGML_ASSERT(wsize >= sizeof(ggml_fp16_t) * y_ne);
-    GGML_ASSERT(wsize >= sizeof(ggml_fp16_t) * d_ne);
-    ggml_fp16_t * const tmp = (ggml_fp16_t *) wdata;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    cl_mem d_X;
-    if (src0->backend == GGML_BACKEND_TYPE_GPU) { // NOLINT
-        d_X = (cl_mem) src0->extra;
-    } else {
-        d_X = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * x_ne, &x_size);
-    }
-    cl_mem d_Y = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * y_ne, &y_size);
-    cl_mem d_D = ggml_cl_pool_malloc(sizeof(ggml_fp16_t) * d_ne, &d_size);
-
-    bool src1_cont_rows = nb10 == sizeof(float);
-    bool src1_cont_cols = (size_t)nb11 == ne11*sizeof(float);
-
-    size_t x_offset = 0;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    x_offset = (i03 * ne02 + i02) * x_ne;
-                } else {
-                    // copy src0 to device
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_X, 0, src0, i03, i02, NULL));
-                }
-
-                // FIXME: convert on device
-
-                for (int64_t i12 = i02 * r2, e12 = i12 + r2; i12 < e12; i12++) {
-                    // convert src1 to fp16
-                    // TODO: use multiple threads
-                    char * src1i = (char *) src1->data + i13*nb13 + i12*nb12;
-                    if (src1_cont_rows) {
-                        if (src1_cont_cols) {
-                            ggml_fp32_to_fp16_row((float *) src1i, tmp, ne10*ne11);
-                        }
-                        else {
-                            for (int64_t i11 = 0; i11 < ne11; i11++) {
-                                ggml_fp32_to_fp16_row((float *) (src1i + i11*nb11), tmp + i11*ne10, ne10);
-                            }
-                        }
-                    }
-                    else {
-                        for (int64_t i11 = 0; i11 < ne11; i11++) {
-                            for (int64_t i10 = 0; i10 < ne10; i10++) {
-                                // very slow due to no inlining
-                                tmp[i11*ne10 + i10] = ggml_fp32_to_fp16(*(float *) (src1i + i11*nb11 + i10*nb10));
-                            }
-                        }
-                    }
-
-                    // copy src1 to device
-                    CL_CHECK(clEnqueueWriteBuffer(queue, d_Y, false, 0, sizeof(ggml_fp16_t) * y_ne, tmp, 0, NULL, NULL));
-
-                    CL_CHECK(clFinish(queue));
-
-                    // compute
-                    cl_event ev_sgemm;
-                    clblast::StatusCode status = clblast::Gemm<cl_half>(clblast::Layout::kColMajor,
-                                                               clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                               ne01, ne11, ne10,
-                                                               alpha,
-                                                               d_X, x_offset, ne00,
-                                                               d_Y, 0, ne10,
-                                                               beta,
-                                                               d_D, 0, ne01,
-                                                               &queue, &ev_sgemm);
-
-                    if (status != clblast::StatusCode::kSuccess) {
-                        GGML_ASSERT(false);
-                    }
-
-                    // copy dst to host, then convert to float
-                    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                        CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(ggml_fp16_t) * d_ne, tmp, 1, &ev_sgemm, NULL));
-                        float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                        ggml_fp16_to_fp32_row(tmp, d, d_ne);
-                    } else {
-                        // FIXME: convert dst to fp32 on device
-                    }
-                }
-            }
-        }
-    }
-
-    if (src0->backend != GGML_BACKEND_TYPE_GPU) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    ggml_cl_pool_free(d_Y, y_size);
-    ggml_cl_pool_free(d_D, d_size);
-}
-
-static void ggml_cl_mul_mat_q_f32(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    const int64_t ne00 = src0->ne[0];
-    const int64_t ne01 = src0->ne[1];
-    const int64_t ne02 = src0->ne[2];
-    const int64_t ne03 = src0->ne[3];
-
-    const int64_t ne10 = src1->ne[0];
-    const int64_t ne11 = src1->ne[1];
-    const int64_t ne12 = src1->ne[2];
-    const int64_t ne13 = src1->ne[3];
-
-    const int nb2  = dst->nb[2];
-    const int nb3  = dst->nb[3];
-    const ggml_type type = src0->type;
-    const bool mul_mat_vec = ne11 == 1 && ne00%2 == 0;
-
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-
-    const float alpha = 1.0f;
-    const float beta = 0.0f;
-    const int x_ne = ne01 * ne00;
-    const int y_ne = ne11 * ne10;
-    const int d_ne = ne11 * ne01;
-    const int x_bps = x_ne / ggml_blck_size(type); // blocks per 2D slice
-    const size_t q_sz = ggml_type_size(type) * x_bps;
-
-    size_t x_size;
-    size_t y_size;
-    size_t d_size;
-    size_t q_size;
-    cl_mem d_X;
-    if (!mul_mat_vec) {
-        d_X = ggml_cl_pool_malloc(sizeof(float) * x_ne, &x_size);
-    }
-    cl_mem d_Y = ggml_cl_pool_malloc(sizeof(float) * y_ne, &y_size);
-    cl_mem d_D = ggml_cl_pool_malloc(sizeof(float) * d_ne, &d_size);
-    cl_mem d_Q;
-    if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-        d_Q = ggml_cl_pool_malloc(q_sz, &q_size);
-    }
-
-    cl_kernel* to_fp32_cl = ggml_get_to_fp32_cl(type);
-    cl_kernel* dmmv = ggml_get_dequantize_mul_mat_vec_cl(type);
-    GGML_ASSERT(to_fp32_cl != nullptr);
-
-    const size_t global_denom = ggml_cl_global_denom(type);
-    const size_t local = mul_mat_vec ? CL_DMMV_LOCAL_SIZE : ggml_cl_local_size(type);
-
-    size_t ev_idx = 0;
-    std::vector<cl_event> events;
-
-    for (int64_t i03 = 0; i03 < ne03; i03++) {
-        // TODO: copy and dequantize src0 here when r3>1
-        for (int64_t i13 = i03 * r3, e13 = i13 + r3; i13 < e13; i13++) {
-            for (int64_t i02 = 0; i02 < ne02; i02++) {
-                // copy src0 to device if necessary
-                if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-                    events.emplace_back();
-                    CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Q, 0, src0, i03, i02, events.data() + ev_idx++));
-                } else if (src0->backend == GGML_BACKEND_TYPE_GPU) {
-                    d_Q = (cl_mem) src0->extra;
-                } else {
-                    GGML_ASSERT(false);
-                }
-
-                if (!mul_mat_vec) {
-                    // convert src0 to fp32 on device
-                    const size_t global = x_ne / global_denom;
-                    const size_t offset = src0->backend == GGML_BACKEND_TYPE_GPU ? (i03 * ne02 + i02) * x_bps : 0;
-                    CL_CHECK(clSetKernelArg(*to_fp32_cl, 0, sizeof(cl_mem), &d_Q));
-                    CL_CHECK(clSetKernelArg(*to_fp32_cl, 1, sizeof(cl_mem), &d_X));
-                    CL_CHECK(clEnqueueNDRangeKernel(queue, *to_fp32_cl, 1, &offset, &global, local > 0 ? &local : NULL, events.size(), !events.empty() ? events.data() : NULL, NULL));
-                }
-
-                int64_t i12 = i02 * r2;
-                int64_t e12 = i12 + r2;
-                events.reserve(e12 - i12);
-                for (; i12 < e12; i12++) {
-                    if (mul_mat_vec) { // specialized dequantize_mul_mat_vec kernel
-                        // copy src1 to device
-                        events.emplace_back();
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, events.data() + ev_idx++));
-
-                        // compute
-                        const size_t global = ne01 * local;
-                        const size_t offset = src0->backend == GGML_BACKEND_TYPE_GPU ? (i03 * ne02 + i02) * x_bps : 0;
-                        const cl_int ncols = ne00;
-                        events.emplace_back();
-                        CL_CHECK(clSetKernelArg(*dmmv, 0, sizeof(cl_mem), &d_Q));
-                        CL_CHECK(clSetKernelArg(*dmmv, 1, sizeof(float) * local, NULL));
-                        CL_CHECK(clSetKernelArg(*dmmv, 2, sizeof(cl_mem), &d_Y));
-                        CL_CHECK(clSetKernelArg(*dmmv, 3, sizeof(cl_mem), &d_D));
-                        CL_CHECK(clSetKernelArg(*dmmv, 4, sizeof(cl_int), &ncols));
-                        CL_CHECK(clEnqueueNDRangeKernel(queue, *dmmv, 1, &offset, &global, &local, events.size() - 1, events.data(), events.data() + ev_idx++));
-                    } else { // CLBlast matrix matrix multiplication
-                        // copy src1 to device
-                        CL_CHECK(ggml_cl_h2d_tensor_2d(queue, d_Y, 0, src1, i13, i12, NULL));
-
-                        // wait for conversion
-                        CL_CHECK(clFinish(queue));
-
-                        // compute
-                        events.emplace_back();
-                        clblast::StatusCode status = clblast::Gemm<cl_float>(clblast::Layout::kColMajor,
-                                                                   clblast::Transpose::kYes, clblast::Transpose::kNo,
-                                                                   ne01, ne11, ne10,
-                                                                   alpha,
-                                                                   d_X, 0, ne00,
-                                                                   d_Y, 0, ne10,
-                                                                   beta,
-                                                                   d_D, 0, ne01,
-                                                                   &queue, events.data() + ev_idx++);
-
-                        if (status != clblast::StatusCode::kSuccess) {
-                            GGML_ASSERT(false);
-                        }
-                    }
-
-                    // copy dst to host
-                    float * d = (float *) ((char *) dst->data + i12*nb2 + i13*nb3);
-                    CL_CHECK(clEnqueueReadBuffer(queue, d_D, true, 0, sizeof(float) * d_ne, d, 1, &events[events.size() - 1], NULL));
-                    for (auto *event : events) {
-                        clReleaseEvent(event);
-                    }
-
-                    ev_idx = 0;
-                    events.clear();
-                }
-            }
-        }
-    }
-
-    if (!mul_mat_vec) {
-        ggml_cl_pool_free(d_X, x_size);
-    }
-    ggml_cl_pool_free(d_Y, y_size);
-    ggml_cl_pool_free(d_D, d_size);
-    if (src0->backend == GGML_BACKEND_TYPE_CPU) {
-        ggml_cl_pool_free(d_Q, q_size);
-    }
-}
-
-
-bool ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst) {
-    const int64_t ne10 = src1->ne[0];
-
-    const int64_t ne0 = dst->ne[0];
-    const int64_t ne1 = dst->ne[1];
-
-    // TODO: find the optimal values for these
-    if ((src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) &&
-        src1->type == GGML_TYPE_F32 &&
-        dst->type == GGML_TYPE_F32 &&
-        ((ne0 >= 32 && ne1 >= 32 && ne10 >= 32) || src0->backend == GGML_BACKEND_TYPE_GPU)) {
-        return true;
-    }
-
-    return false;
-}
-
-static bool ggml_cl_mul_mat_use_f16(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * /* dst */) {
-    // If device doesn't support FP16
-    if (!fp16_support) {
-        return false;
-    }
-
-    size_t src0_sz = ggml_nbytes(src0);
-    size_t src1_sz = ggml_nbytes(src1);
-
-    // mul_mat_q: src0 is converted to fp32 on device
-    size_t mul_mat_q_transfer = src0_sz + src1_sz;
-
-    // mul_mat_f16: src1 is converted to fp16 on cpu
-    size_t mul_mat_f16_transfer = src0_sz + sizeof(ggml_fp16_t) * ggml_nelements(src1);
-
-    // choose the smaller one to transfer to the device
-    // TODO: this is not always the best choice due to the overhead of converting to fp16
-    return mul_mat_f16_transfer < mul_mat_q_transfer;
-}
-
-void ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize) {
-    GGML_ASSERT(ggml_cl_can_mul_mat(src0, src1, dst));
-
-    if (src0->type == GGML_TYPE_F32) {
-        ggml_cl_mul_mat_f32(src0, src1, dst);
-    }
-    else if (src0->type == GGML_TYPE_F16) {
-        if (ggml_cl_mul_mat_use_f16(src0, src1, dst)) {
-            ggml_cl_mul_mat_f16(src0, src1, dst, wdata, wsize);
-        }
-        else {
-            ggml_cl_mul_mat_q_f32(src0, src1, dst);
-        }
-    }
-    else if (ggml_is_quantized(src0->type)) {
-        ggml_cl_mul_mat_q_f32(src0, src1, dst);
-    }
-    else {
-        GGML_ASSERT(false);
-    }
-}
-
-size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    if (src0->type == GGML_TYPE_F16 && ggml_cl_mul_mat_use_f16(src0, src1, dst)) {
-        return sizeof(ggml_fp16_t) * std::max(src1->ne[0] * src1->ne[1], dst->ne[0] * dst->ne[1]);
-    }
-    return 0;
-}
-
-void ggml_cl_transform_tensor(void * data, ggml_tensor * tensor) {
-    const int64_t ne0 = tensor->ne[0];
-    const int64_t ne1 = tensor->ne[1];
-    const int64_t ne2 = tensor->ne[2];
-    const int64_t ne3 = tensor->ne[3];
-
-    const ggml_type type = tensor->type;
-    const size_t s_sz = ggml_type_size(type) * (size_t) (ne0 * ne1 / ggml_blck_size(type));
-    const size_t q_sz = s_sz * (size_t) (ne2 * ne3);
-
-    size_t q_size;
-    cl_mem dst = ggml_cl_pool_malloc(q_sz, &q_size);
-
-    tensor->data = data;
-    // copy tensor to device
-    size_t offset = 0;
-    for (int64_t i3 = 0; i3 < ne3; i3++) {
-        for (int64_t i2 = 0; i2 < ne2; i2++) {
-            CL_CHECK(ggml_cl_h2d_tensor_2d(queue, dst, offset, tensor, i3, i2, NULL));
-            offset += s_sz;
-        }
-    }
-
-    CL_CHECK(clFinish(queue));
-
-    tensor->extra = dst;
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-}
-
-// ggml-backend
-
-// buffer
-
-struct ggml_backend_opencl_buffer_context {
-    ~ggml_backend_opencl_buffer_context() {
-        if (buffer) {
-            clReleaseMemObject(buffer);
-        }
-        for (auto * sub_buffer : sub_buffers) {
-            clReleaseMemObject(sub_buffer);
-        }
-    }
-
-    cl_mem buffer;
-    std::vector<cl_mem> sub_buffers;
-};
-
-static void * const cl_ptr_base = (void *)(uintptr_t) 0x1000;
-
-static const char * ggml_backend_opencl_buffer_get_name(ggml_backend_buffer_t buffer) {
-    return "OpenCL";
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    delete ctx;
-}
-
-static void * ggml_backend_opencl_buffer_get_base(ggml_backend_buffer_t buffer) {
-    return cl_ptr_base;
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
-    if (tensor->view_src != NULL && tensor->view_offs == 0) {
-        tensor->extra = tensor->view_src->extra;
-    } else {
-        ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-        cl_buffer_region region = {(size_t)((char *)tensor->data - (char *)cl_ptr_base), ggml_nbytes(tensor)};
-        cl_int err;
-        cl_mem sub_buffer = clCreateSubBuffer(ctx->buffer, CL_MEM_READ_WRITE, CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
-        CL_CHECK(err);
-        ctx->sub_buffers.push_back(sub_buffer);
-        tensor->extra = sub_buffer;
-    }
-    tensor->backend = GGML_BACKEND_TYPE_GPU;
-}
-
-static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-    cl_mem tensor_buffer = (cl_mem) tensor->extra;
-    CL_CHECK(clEnqueueWriteBuffer(queue, tensor_buffer, true, offset, size, data, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-    cl_mem tensor_buffer = (cl_mem) tensor->extra;
-    CL_CHECK(clEnqueueReadBuffer(queue, tensor_buffer, true, offset, size, data, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    CL_CHECK(clEnqueueFillBuffer(queue, ctx->buffer, &value, sizeof(value), 0, buffer->size, 0, NULL, NULL));
-    CL_CHECK(clFinish(queue));
-}
-
-static void ggml_backend_opencl_buffer_reset(ggml_backend_buffer_t buffer) {
-    ggml_backend_opencl_buffer_context * ctx = (ggml_backend_opencl_buffer_context *) buffer->context;
-    for (auto * sub_buffer : ctx->sub_buffers) {
-        clReleaseMemObject(sub_buffer);
-    }
-    ctx->sub_buffers.clear();
-}
-
-static ggml_backend_buffer_i ggml_backend_opencl_buffer_interface = {
-    /* .get_name        = */ ggml_backend_opencl_buffer_get_name,
-    /* .free_buffer     = */ ggml_backend_opencl_buffer_free_buffer,
-    /* .get_base        = */ ggml_backend_opencl_buffer_get_base,
-    /* .init_tensor     = */ ggml_backend_opencl_buffer_init_tensor,
-    /* .set_tensor      = */ ggml_backend_opencl_buffer_set_tensor,
-    /* .get_tensor      = */ ggml_backend_opencl_buffer_get_tensor,
-    /* .cpy_tensor      = */ NULL,
-    /* .clear           = */ ggml_backend_opencl_buffer_clear,
-    /* .reset           = */ ggml_backend_opencl_buffer_reset,
-};
-
-// buffer type
-
-static const char * ggml_backend_opencl_buffer_type_name(ggml_backend_buffer_type_t buffer_type) {
-    return "OpenCL";
-
-    GGML_UNUSED(buffer_type);
-}
-
-static ggml_backend_buffer_t ggml_backend_opencl_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buffer_type, size_t size) {
-    ggml_cl_init();
-
-    cl_int err;
-    cl_mem mem = clCreateBuffer(context, CL_MEM_READ_WRITE, size, NULL, &err);
-    if (err != CL_SUCCESS) {
-        fprintf(stderr, "%s: failed to allocate %.2f MiB\n", __func__, size / 1024.0 / 1024.0);
-        return nullptr;
-    }
-
-    ggml_backend_opencl_buffer_context * ctx = new ggml_backend_opencl_buffer_context{mem, {}};
-
-    return ggml_backend_buffer_init(buffer_type, ggml_backend_opencl_buffer_interface, ctx, size);
-}
-
-static size_t ggml_backend_opencl_buffer_type_get_alignment(ggml_backend_buffer_type_t buffer_type) {
-    // FIXME: not thread safe, device may not be initialized yet
-    static cl_uint alignment = -1;
-    if (alignment == (cl_uint)-1) {
-        ggml_cl_init();
-        clGetDeviceInfo(device, CL_DEVICE_MEM_BASE_ADDR_ALIGN, sizeof(cl_uint), &alignment, NULL);
-        alignment /= 8; // bits to bytes
-    }
-    return alignment;
-
-    GGML_UNUSED(buffer_type);
-}
-
-static size_t ggml_backend_opencl_buffer_type_get_max_size(ggml_backend_buffer_type_t buffer_type) {
-    static size_t max_size = -1;
-    if (max_size == (size_t)-1) {
-        ggml_cl_init();
-        clGetDeviceInfo(device, CL_DEVICE_MAX_MEM_ALLOC_SIZE, sizeof(size_t), &max_size, NULL);
-    }
-    return max_size;
-}
-
-static bool ggml_backend_opencl_buffer_type_supports_backend(ggml_backend_buffer_type_t buffer_type, ggml_backend_t backend) {
-    //return ggml_backend_is_opencl(backend); // opencl must be used through the cpu backend
-    return ggml_backend_is_cpu(backend);
-
-    GGML_UNUSED(buffer_type);
-}
-
-static ggml_backend_buffer_type_i ggml_backend_opencl_buffer_type_interface = {
-    /* .get_name         = */ ggml_backend_opencl_buffer_type_name,
-    /* .alloc_buffer     = */ ggml_backend_opencl_buffer_type_alloc_buffer,
-    /* .get_alignment    = */ ggml_backend_opencl_buffer_type_get_alignment,
-    /* .get_max_size     = */ ggml_backend_opencl_buffer_type_get_max_size,
-    /* .get_alloc_size   = */ NULL,
-    /* .supports_backend = */ ggml_backend_opencl_buffer_type_supports_backend,
-    /* .is_host          = */ NULL,
-};
-
-
-ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type() {
-    static ggml_backend_buffer_type buffer_type = {
-        /* .iface   = */ ggml_backend_opencl_buffer_type_interface,
-        /* .context = */ nullptr,
-    };
-
-    return &buffer_type;
-}
-
-#if 0
-// host buffer type
-
-static const char * ggml_backend_opencl_host_buffer_type_name(ggml_backend_buffer_type_t buft) {
-    return "CL_Host";
-
-    GGML_UNUSED(buft);
-}
-
-static const char * ggml_backend_opencl_host_buffer_name(ggml_backend_buffer_t buffer) {
-    return "CL_Host";
-
-    GGML_UNUSED(buffer);
-}
-
-static void ggml_backend_opencl_host_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-    ggml_cl_host_free(buffer->context);
-}
-
-static ggml_backend_buffer_t ggml_backend_opencl_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
-    void * ptr = ggml_cl_host_malloc(size);
-
-    if (ptr == nullptr) {
-        // fallback to cpu buffer
-        return ggml_backend_buft_alloc_buffer(ggml_backend_cpu_buffer_type(), size);
-    }
-
-    ggml_backend_buffer_t buffer = ggml_backend_cpu_buffer_from_ptr(ptr, size);
-    buffer->buft = buft;
-    buffer->iface.get_name = ggml_backend_opencl_host_buffer_name;
-    buffer->iface.free_buffer = ggml_backend_opencl_host_buffer_free_buffer;
-
-    return buffer;
-}
-
-ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type() {
-    static struct ggml_backend_buffer_type ggml_backend_opencl_buffer_type_host = {
-        /* .iface    = */ {
-            /* .get_name         = */ ggml_backend_opencl_host_buffer_type_name,
-            /* .alloc_buffer     = */ ggml_backend_opencl_host_buffer_type_alloc_buffer,
-            /* .get_alignment    = */ ggml_backend_cpu_buffer_type()->iface.get_alignment,
-            /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
-            /* .get_alloc_size   = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size,
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend,
-            /* .is_host          = */ ggml_backend_cpu_buffer_type()->iface.is_host,
-        },
-        /* .context  = */ nullptr,
-    };
-
-    return &ggml_backend_opencl_buffer_type_host;
-}
-
-// backend
-
-static const char * ggml_backend_opencl_name(ggml_backend_t backend) {
-    return "OpenCL";
-
-    GGML_UNUSED(backend);
-}
-
-static void ggml_backend_opencl_free(ggml_backend_t backend) {
-    GGML_UNUSED(backend);
-}
-
-static ggml_backend_buffer_type_t ggml_backend_opencl_get_default_buffer_type(ggml_backend_t backend) {
-    return ggml_backend_opencl_buffer_type();
-
-    GGML_UNUSED(backend);
-}
-
-static ggml_status ggml_backend_opencl_graph_compute(ggml_backend_t backend, ggml_cgraph * graph) {
-    for (int i = 0; i < graph->n_nodes; ++i) {
-        ggml_tensor * node = graph->nodes[i];
-
-        if (ggml_is_empty(node)) {
-            continue;
-        }
-
-        switch (node->op) {
-            case GGML_OP_MUL_MAT:
-                ggml_cl_mul_mat(node->src[0], node->src[1], node, nullptr, 0);
-                break;
-            case GGML_OP_MUL:
-                ggml_cl_mul(node->src[0], node->src[1], node);
-                break;
-            default:
-                GGML_ASSERT(false);
-        }
-    }
-
-    return GGML_STATUS_SUCCESS;
-
-    GGML_UNUSED(backend);
-}
-
-static bool ggml_backend_opencl_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
-    switch (op->op) {
-        case GGML_OP_MUL_MAT:
-            return ggml_cl_can_mul_mat(op->src[0], op->src[1], op);
-        case GGML_OP_MUL:
-            // return ggml_can_repeat_rows(op->src[1], op->src[0]);
-            return true;
-        default:
-            return false;
-    }
-
-    GGML_UNUSED(backend);
-}
-
-static ggml_backend_i opencl_backend_i = {
-    /* .get_name                = */ ggml_backend_opencl_name,
-    /* .free                    = */ ggml_backend_opencl_free,
-    /* .get_default_buffer_type = */ ggml_backend_opencl_get_default_buffer_type,
-    /* .set_tensor_async        = */ NULL,
-    /* .get_tensor_async        = */ NULL,
-    /* .cpy_tensor_from_async   = */ NULL,
-    /* .cpy_tensor_to_async     = */ NULL,
-    /* .synchronize             = */ NULL,
-    /* .graph_plan_create       = */ NULL,
-    /* .graph_plan_free         = */ NULL,
-    /* .graph_plan_compute      = */ NULL,
-    /* .graph_compute           = */ ggml_backend_opencl_graph_compute,
-    /* .supports_op             = */ ggml_backend_opencl_supports_op,
-};
-
-ggml_backend_t ggml_backend_opencl_init() {
-    ggml_backend_t backend = new ggml_backend {
-        /* .interface = */ opencl_backend_i,
-        /* .context   = */ nullptr
-    };
-
-    return backend;
-}
-
-bool ggml_backend_is_opencl(ggml_backend_t backend) {
-    return backend && backend->iface.get_name == ggml_backend_opencl_name;
-}
-#endif
diff --git a/ggml-opencl.h b/ggml-opencl.h
deleted file mode 100644
index 257a6be6a..000000000
--- a/ggml-opencl.h
+++ /dev/null
@@ -1,36 +0,0 @@
-#pragma once
-
-#include "ggml.h"
-#include "ggml-backend.h"
-
-#ifdef  __cplusplus
-extern "C" {
-#endif
-
-GGML_API void ggml_cl_init(void);
-
-GGML_API void   ggml_cl_mul(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API void   ggml_cl_add(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API bool   ggml_cl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, const struct ggml_tensor * dst);
-GGML_API size_t ggml_cl_mul_mat_get_wsize(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
-GGML_API void   ggml_cl_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst, void * wdata, size_t wsize);
-
-// GGML_API void * ggml_cl_host_malloc(size_t size);
-// GGML_API void   ggml_cl_host_free(void * ptr);
-
-GGML_API void ggml_cl_free_data(const struct ggml_tensor* tensor);
-
-GGML_API void ggml_cl_transform_tensor(void * data, struct ggml_tensor * tensor);
-
-// backend API
-
-// GGML_API ggml_backend_t ggml_backend_opencl_init(void);
-
-// GGML_API bool ggml_backend_is_opencl(ggml_backend_t backend);
-
-GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_buffer_type(void);
-// GGML_API ggml_backend_buffer_type_t ggml_backend_opencl_host_buffer_type(void);
-
-#ifdef  __cplusplus
-}
-#endif
diff --git a/ggml.c b/ggml.c
index 8869e146a..11e5c34ab 100644
--- a/ggml.c
+++ b/ggml.c
@@ -297,17 +297,12 @@ inline static void * ggml_calloc(size_t num, size_t size) {
 
 #if defined(GGML_USE_ACCELERATE)
 #include <Accelerate/Accelerate.h>
-#if defined(GGML_USE_CLBLAST) // allow usage of CLBlast alongside Accelerate functions
-#include "ggml-opencl.h"
-#endif
 #elif defined(GGML_USE_OPENBLAS)
 #if defined(GGML_BLAS_USE_MKL)
 #include <mkl.h>
 #else
 #include <cblas.h>
 #endif
-#elif defined(GGML_USE_CLBLAST)
-#include "ggml-opencl.h"
 #endif
 
 // floating point type used to accumulate sums
@@ -3380,10 +3375,6 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
             GGML_PRINT_DEBUG("%s: g_state initialized in %f ms\n", __func__, (t_end - t_start)/1000.0f);
         }
 
-#if defined(GGML_USE_CLBLAST)
-        ggml_cl_init();
-#endif
-
         ggml_setup_op_has_task_pass();
 
         is_first_call = false;
@@ -9053,17 +9044,6 @@ static void ggml_compute_forward_add_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-#ifdef GGML_USE_CLBLAST
-    if (src1->backend == GGML_BACKEND_TYPE_GPU) {
-        // TODO: OpenCL kernel support full broadcast
-        GGML_ASSERT(ggml_can_repeat_rows(src1, src0));
-        if (ith == 0) {
-            ggml_cl_add(src0, src1, dst);
-        }
-        return;
-    }
-#endif
-
     const int nr  = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -10171,17 +10151,6 @@ static void ggml_compute_forward_mul_f32(
     const int ith = params->ith;
     const int nth = params->nth;
 
-#if defined(GGML_USE_CLBLAST)
-    if (src1->backend == GGML_BACKEND_TYPE_GPU) {
-        // TODO: OpenCL kernel support full broadcast
-        GGML_ASSERT(ggml_can_repeat_rows(src1, src0));
-        if (ith == 0) {
-            ggml_cl_mul(src0, src1, dst);
-        }
-        return;
-    }
-#endif
-
     const int64_t nr = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -12417,15 +12386,6 @@ static void ggml_compute_forward_mul_mat(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-#if defined(GGML_USE_CLBLAST)
-    if (ggml_cl_can_mul_mat(src0, src1, dst)) {
-        if (params->ith == 0 && params->type == GGML_TASK_TYPE_COMPUTE) {
-            ggml_cl_mul_mat(src0, src1, dst, params->wdata, params->wsize);
-        }
-        return;
-    }
-#endif
-
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
     if (ggml_compute_forward_mul_mat_use_blas(dst)) {
         const int64_t ne_plane      = ne01*ne00;
@@ -12873,8 +12833,6 @@ static void ggml_compute_forward_out_prod_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    // TODO: #if defined(GGML_USE_CLBLAST)
-
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
     bool use_blas = ggml_is_matrix(src0) &&
         ggml_is_matrix(src1) &&
@@ -13072,7 +13030,7 @@ static void ggml_compute_forward_out_prod_q_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CLBLAST)
+    // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
 
     if (params->type == GGML_TASK_TYPE_INIT) {
         if (ith != 0) {
@@ -19546,11 +19504,6 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
                 {
                     const enum ggml_type vec_dot_type = type_traits[node->src[0]->type].vec_dot_type;
 
-#if defined(GGML_USE_CLBLAST)
-                    if (ggml_cl_can_mul_mat(node->src[0], node->src[1], node)) {
-                        cur = ggml_cl_mul_mat_get_wsize(node->src[0], node->src[1], node);
-                    } else
-#endif
 #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
                     if (ggml_compute_forward_mul_mat_use_blas(node)) {
                         if (node->src[0]->type != GGML_TYPE_F32) {
@@ -22859,7 +22812,7 @@ int ggml_cpu_has_wasm_simd(void) {
 }
 
 int ggml_cpu_has_blas(void) {
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_SYCL)
+#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_SYCL)
     return 1;
 #else
     return 0;
@@ -22874,14 +22827,6 @@ int ggml_cpu_has_cuda(void) {
 #endif
 }
 
-int ggml_cpu_has_clblast(void) {
-#if defined(GGML_USE_CLBLAST)
-    return 1;
-#else
-    return 0;
-#endif
-}
-
 int ggml_cpu_has_vulkan(void) {
 #if defined(GGML_USE_VULKAN)
     return 1;
@@ -22915,8 +22860,7 @@ int ggml_cpu_has_rpc(void) {
 }
 
 int ggml_cpu_has_gpublas(void) {
-    return ggml_cpu_has_cuda() || ggml_cpu_has_clblast() || ggml_cpu_has_vulkan() || ggml_cpu_has_kompute() ||
-           ggml_cpu_has_sycl();
+    return ggml_cpu_has_cuda() || ggml_cpu_has_vulkan() || ggml_cpu_has_kompute() || ggml_cpu_has_sycl();
 }
 
 int ggml_cpu_has_sse3(void) {
diff --git a/ggml.h b/ggml.h
index f38699698..addcf1bfe 100644
--- a/ggml.h
+++ b/ggml.h
@@ -2425,7 +2425,6 @@ extern "C" {
     GGML_API int ggml_cpu_has_wasm_simd  (void);
     GGML_API int ggml_cpu_has_blas       (void);
     GGML_API int ggml_cpu_has_cuda       (void);
-    GGML_API int ggml_cpu_has_clblast    (void);
     GGML_API int ggml_cpu_has_vulkan     (void);
     GGML_API int ggml_cpu_has_kompute    (void);
     GGML_API int ggml_cpu_has_gpublas    (void);
diff --git a/llama.cpp b/llama.cpp
index 92c33f53e..c05e2bdb7 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -13,8 +13,6 @@
 
 #ifdef GGML_USE_CUDA
 #  include "ggml-cuda.h"
-#elif defined(GGML_USE_CLBLAST)
-#  include "ggml-opencl.h"
 #elif defined(GGML_USE_VULKAN)
 #  include "ggml-vulkan.h"
 #elif defined(GGML_USE_SYCL)
@@ -2406,8 +2404,6 @@ static ggml_backend_buffer_type_t llama_default_buffer_type_offload(const llama_
     buft = ggml_backend_vk_buffer_type(gpu);
 #elif defined(GGML_USE_SYCL)
     buft = ggml_backend_sycl_buffer_type(gpu);
-#elif defined(GGML_USE_CLBLAST)
-    buft = ggml_backend_opencl_buffer_type();
 #elif defined(GGML_USE_KOMPUTE)
     buft = ggml_backend_kompute_buffer_type(gpu);
     if (buft == nullptr) {
@@ -2530,10 +2526,6 @@ static bool llama_kv_cache_init(
         }
     }
 
-#ifdef GGML_USE_CLBLAST
-    offload = false;
-#endif
-
     // count used buffer types
     std::map<ggml_backend_buffer_type_t, int> buft_layer_count;
     if (offload) {
@@ -15921,7 +15913,7 @@ bool llama_supports_mlock(void) {
 }
 
 bool llama_supports_gpu_offload(void) {
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_CLBLAST) || defined(GGML_USE_METAL) || defined(GGML_USE_VULKAN) || \
+#if defined(GGML_USE_CUDA) || defined(GGML_USE_METAL)   || defined(GGML_USE_VULKAN) || \
     defined(GGML_USE_SYCL) || defined(GGML_USE_KOMPUTE) || defined(GGML_USE_RPC)
     // Defined when llama.cpp is compiled with support for offloading model layers to GPU.
     return true;
diff --git a/scripts/LlamaConfig.cmake.in b/scripts/LlamaConfig.cmake.in
index 92e39708b..9311055d9 100644
--- a/scripts/LlamaConfig.cmake.in
+++ b/scripts/LlamaConfig.cmake.in
@@ -5,7 +5,6 @@ set(LLAMA_SHARED_LIB @BUILD_SHARED_LIBS@)
 set(LLAMA_BLAS @LLAMA_BLAS@)
 set(LLAMA_CUDA @LLAMA_CUDA@)
 set(LLAMA_METAL @LLAMA_METAL@)
-set(LLAMA_CLBLAST @LLAMA_CLBLAST@)
 set(LLAMA_HIPBLAS @LLAMA_HIPBLAS@)
 set(LLAMA_ACCELERATE @LLAMA_ACCELERATE@)
 
@@ -36,10 +35,6 @@ if (LLAMA_METAL)
     find_library(METALKIT_FRAMEWORK MetalKit REQUIRED)
 endif()
 
-if (LLAMA_CLBLAST)
-    find_package(CLBlast REQUIRED)
-endif()
-
 if (LLAMA_HIPBLAS)
     find_package(hip REQUIRED)
     find_package(hipblas REQUIRED)
diff --git a/scripts/compare-llama-bench.py b/scripts/compare-llama-bench.py
index 6016eb2c0..513dde5e1 100755
--- a/scripts/compare-llama-bench.py
+++ b/scripts/compare-llama-bench.py
@@ -19,17 +19,17 @@ logger = logging.getLogger("compare-llama-bench")
 
 # Properties by which to differentiate results per commit:
 KEY_PROPERTIES = [
-    "cpu_info", "gpu_info", "n_gpu_layers", "cuda", "opencl", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas",
+    "cpu_info", "gpu_info", "n_gpu_layers", "cuda", "vulkan", "kompute", "metal", "sycl", "rpc", "gpu_blas",
     "blas", "model_filename", "model_type", "model_size", "model_n_params", "n_batch", "n_ubatch", "embeddings", "n_threads",
     "type_k", "type_v", "use_mmap", "no_kv_offload", "split_mode", "main_gpu", "tensor_split", "flash_attn", "n_prompt", "n_gen"
 ]
 
 # Properties that are boolean and are converted to Yes/No for the table:
-BOOL_PROPERTIES = ["cuda", "opencl", "vulkan", "kompute", "metal", "sycl", "gpu_blas", "blas", "embeddings", "use_mmap", "no_kv_offload", "flash_attn"]
+BOOL_PROPERTIES = ["cuda", "vulkan", "kompute", "metal", "sycl", "gpu_blas", "blas", "embeddings", "use_mmap", "no_kv_offload", "flash_attn"]
 
 # Header names for the table:
 PRETTY_NAMES = {
-    "cuda": "CUDA", "opencl": "OpenCL", "vulkan": "Vulkan", "kompute": "Kompute", "metal": "Metal", "sycl": "SYCL", "rpc": "RPC",
+    "cuda": "CUDA", "vulkan": "Vulkan", "kompute": "Kompute", "metal": "Metal", "sycl": "SYCL", "rpc": "RPC",
     "gpu_blas": "GPU BLAS", "blas": "BLAS", "cpu_info": "CPU", "gpu_info": "GPU", "model_filename": "File", "model_type": "Model",
     "model_size": "Model Size [GiB]", "model_n_params": "Num. of Par.", "n_batch": "Batch size", "n_ubatch": "Microbatch size",
     "n_threads": "Threads", "type_k": "K type", "type_v": "V type", "n_gpu_layers": "GPU layers", "split_mode": "Split mode",
diff --git a/scripts/server-llm.sh b/scripts/server-llm.sh
index eb6ce458e..b3715e204 100644
--- a/scripts/server-llm.sh
+++ b/scripts/server-llm.sh
@@ -3,7 +3,7 @@
 # Helper script for deploying llama.cpp server with a single Bash command
 #
 # - Works on Linux and macOS
-# - Supports: CPU, CUDA, Metal, OpenCL
+# - Supports: CPU, CUDA, Metal
 # - Can run all GGUF models from HuggingFace
 # - Can serve requests in parallel
 # - Always builds latest llama.cpp from GitHub
@@ -19,7 +19,7 @@
 #   --port:            port number, default is 8888
 #   --repo:            path to a repo containing GGUF model files
 #   --wtype:           weights type (f16, q8_0, q4_0, q4_1), default is user-input
-#   --backend:         cpu, cuda, metal, opencl, depends on the OS
+#   --backend:         cpu, cuda, metal, depends on the OS
 #   --gpu-id:          gpu id, default is 0
 #   --n-parallel:      number of parallel requests, default is 8
 #   --n-kv:            KV cache size, default is 4096
@@ -72,7 +72,7 @@ function print_usage {
     printf "  --port:             port number, default is 8888\n"
     printf "  --repo:             path to a repo containing GGUF model files\n"
     printf "  --wtype:            weights type (f16, q8_0, q4_0, q4_1), default is user-input\n"
-    printf "  --backend:          cpu, cuda, metal, opencl, depends on the OS\n"
+    printf "  --backend:          cpu, cuda, metal, depends on the OS\n"
     printf "  --gpu-id:           gpu id, default is 0\n"
     printf "  --n-parallel:       number of parallel requests, default is 8\n"
     printf "  --n-kv:             KV cache size, default is 4096\n"
@@ -387,9 +387,6 @@ elif [[ "$backend" == "cpu" ]]; then
 elif [[ "$backend" == "metal" ]]; then
     printf "[+] Building with Metal backend\n"
     make -j server $log
-elif [[ "$backend" == "opencl" ]]; then
-    printf "[+] Building with OpenCL backend\n"
-    LLAMA_CLBLAST=1 make -j server $log
 else
     printf "[-] Unknown backend: %s\n" "$backend"
     exit 1
@@ -407,8 +404,6 @@ elif [[ "$backend" == "cpu" ]]; then
     args="-ngl 0"
 elif [[ "$backend" == "metal" ]]; then
     args="-ngl 999"
-elif [[ "$backend" == "opencl" ]]; then
-    args="-ngl 999"
 else
     printf "[-] Unknown backend: %s\n" "$backend"
     exit 1
diff --git a/scripts/sync-ggml-am.sh b/scripts/sync-ggml-am.sh
index 3f8ddf37b..9e34dc8b9 100755
--- a/scripts/sync-ggml-am.sh
+++ b/scripts/sync-ggml-am.sh
@@ -106,8 +106,6 @@ if [ -f $SRC_LLAMA/ggml-src.patch ]; then
     # src/ggml-kompute.h          -> ggml-kompute.h
     # src/ggml-metal.h            -> ggml-metal.h
     # src/ggml-metal.m            -> ggml-metal.m
-    # src/ggml-opencl.cpp         -> ggml-opencl.cpp
-    # src/ggml-opencl.h           -> ggml-opencl.h
     # src/ggml-quants.c           -> ggml-quants.c
     # src/ggml-quants.h           -> ggml-quants.h
     # src/ggml-rpc.cpp            -> ggml-rpc.cpp
@@ -143,8 +141,6 @@ if [ -f $SRC_LLAMA/ggml-src.patch ]; then
         -e 's/src\/ggml-kompute\.h/ggml-kompute.h/g' \
         -e 's/src\/ggml-metal\.h/ggml-metal.h/g' \
         -e 's/src\/ggml-metal\.m/ggml-metal.m/g' \
-        -e 's/src\/ggml-opencl\.cpp/ggml-opencl.cpp/g' \
-        -e 's/src\/ggml-opencl\.h/ggml-opencl.h/g' \
         -e 's/src\/ggml-quants\.c/ggml-quants.c/g' \
         -e 's/src\/ggml-quants\.h/ggml-quants.h/g' \
         -e 's/src\/ggml-rpc\.cpp/ggml-rpc.cpp/g' \
diff --git a/scripts/sync-ggml.sh b/scripts/sync-ggml.sh
index fbae6b7f8..4843f8a4a 100755
--- a/scripts/sync-ggml.sh
+++ b/scripts/sync-ggml.sh
@@ -14,8 +14,6 @@ cp -rpv ../ggml/src/ggml-kompute.h          ./ggml-kompute.h
 cp -rpv ../ggml/src/ggml-metal.h            ./ggml-metal.h
 cp -rpv ../ggml/src/ggml-metal.m            ./ggml-metal.m
 cp -rpv ../ggml/src/ggml-metal.metal        ./ggml-metal.metal
-cp -rpv ../ggml/src/ggml-opencl.cpp         ./ggml-opencl.cpp
-cp -rpv ../ggml/src/ggml-opencl.h           ./ggml-opencl.h
 cp -rpv ../ggml/src/ggml-quants.c           ./ggml-quants.c
 cp -rpv ../ggml/src/ggml-quants.h           ./ggml-quants.h
 cp -rpv ../ggml/src/ggml-rpc.cpp            ./ggml-rpc.cpp

From 1442677f92e45a475be7b4d056e3633d1d6f813b Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 4 Jun 2024 21:23:39 +0300
Subject: [PATCH 009/131] common : refactor cli arg parsing (#7675)

* common : gpt_params_parse do not print usage

* common : rework usage print (wip)

* common : valign

* common : rework print_usage

* infill : remove cfg support

* common : reorder args

* server : deduplicate parameters

ggml-ci

* common : add missing header

ggml-ci

* common : remote --random-prompt usages

ggml-ci

* examples : migrate to gpt_params

ggml-ci

* batched-bench : migrate to gpt_params

* retrieval : migrate to gpt_params

* common : change defaults for escape and n_ctx

* common : remove chatml and instruct params

ggml-ci

* common : passkey use gpt_params
---
 common/common.cpp                            | 819 +++++++++++++------
 common/common.h                              | 105 ++-
 examples/batched-bench/README.md             |   8 +-
 examples/batched-bench/batched-bench.cpp     |  92 +--
 examples/batched/README.md                   |   2 +-
 examples/batched/batched.cpp                 |  73 +-
 examples/embedding/embedding.cpp             |   4 +-
 examples/eval-callback/eval-callback.cpp     |   6 +-
 examples/gguf-split/tests.sh                 |  10 +-
 examples/gritlm/gritlm.cpp                   |   2 +
 examples/imatrix/imatrix.cpp                 |   8 +-
 examples/infill/infill.cpp                   | 134 +--
 examples/llama-bench/llama-bench.cpp         |  48 +-
 examples/llava/llava-cli.cpp                 |  14 +-
 examples/lookahead/lookahead.cpp             |   3 +-
 examples/lookup/lookup-create.cpp            |   2 +
 examples/lookup/lookup-stats.cpp             |   1 +
 examples/lookup/lookup.cpp                   |   1 +
 examples/main/README.md                      |   5 +-
 examples/main/main.cpp                       |  69 +-
 examples/parallel/parallel.cpp               |   3 +-
 examples/passkey/README.md                   |   2 +-
 examples/passkey/passkey.cpp                 |  68 +-
 examples/perplexity/perplexity.cpp           |  12 +-
 examples/quantize/tests.sh                   |   4 +-
 examples/retrieval/retrieval.cpp             |  90 +-
 examples/save-load-state/save-load-state.cpp |   1 +
 examples/server/server.cpp                   | 700 ++--------------
 examples/server/utils.hpp                    |   7 -
 examples/simple/README.md                    |   2 +-
 examples/simple/simple.cpp                   |  50 +-
 examples/speculative/speculative.cpp         |   3 +-
 llama.cpp                                    |   2 +-
 scripts/run-with-preset.py                   |   4 +-
 34 files changed, 899 insertions(+), 1455 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index df583db83..c8df9a4ce 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -7,20 +7,21 @@
 
 #include <algorithm>
 #include <cassert>
+#include <cinttypes>
 #include <cmath>
+#include <codecvt>
+#include <cstdarg>
 #include <cstring>
 #include <ctime>
 #include <fstream>
-#include <iterator>
 #include <iostream>
+#include <iterator>
 #include <regex>
 #include <sstream>
 #include <string>
 #include <unordered_map>
 #include <unordered_set>
 #include <vector>
-#include <cinttypes>
-#include <codecvt>
 
 #if defined(__APPLE__) && defined(__MACH__)
 #include <sys/types.h>
@@ -237,10 +238,7 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
         }
     }
 
-    if (params.prompt_cache_all &&
-            (params.interactive || params.interactive_first ||
-             params.instruct)) {
-
+    if (params.prompt_cache_all && (params.interactive || params.interactive_first)) {
         throw std::invalid_argument("error: --prompt-cache-all not supported in interactive mode yet\n");
     }
 
@@ -265,22 +263,25 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
 }
 
 bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
-    bool result = true;
+    const auto params_org = params; // the example can modify the default params
+
     try {
-        if (!gpt_params_parse_ex(argc, argv, params)) {
-            gpt_params_print_usage(argc, argv, gpt_params());
-            exit(0);
+        if (!gpt_params_parse_ex(argc, argv, params) || params.usage) {
+            params = params_org;
+            params.usage = true;
+            return false;
         }
-    }
-    catch (const std::invalid_argument & ex) {
+    } catch (const std::invalid_argument & ex) {
         fprintf(stderr, "%s\n", ex.what());
-        gpt_params_print_usage(argc, argv, gpt_params());
-        exit(1);
+        return false;
     }
-    return result;
+
+    return true;
 }
 
 bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_params & params, int & i, bool & invalid_param) {
+    const char split_delim = ',';
+
     llama_sampling_params & sparams = params.sparams;
 
     if (arg == "-s" || arg == "--seed") {
@@ -288,7 +289,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-        // This is temporary, in the future the samplign state will be moved fully to llama_sampling_context.
+        // TODO: this is temporary, in the future the sampling state will be moved fully to llama_sampling_context.
         params.seed = std::stoul(argv[i]);
         sparams.seed = std::stoul(argv[i]);
         return true;
@@ -349,6 +350,10 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.escape = true;
         return true;
     }
+    if (arg == "--no-escape") {
+        params.escape = false;
+        return true;
+    }
     if (arg == "--prompt-cache") {
         if (++i >= argc) {
             invalid_param = true;
@@ -403,7 +408,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
-    if (arg == "-n" || arg == "--n-predict") {
+    if (arg == "-n" || arg == "--predict" || arg == "--n-predict") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
@@ -900,34 +905,22 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.interactive = true;
         return true;
     }
-    if (arg == "--interactive-specials") {
-        params.interactive_specials = true;
-        return true;
-    }
-    if (arg == "--special") {
+    if (arg == "-sp" || arg == "--special") {
         params.special = true;
         return true;
     }
-    if (arg == "--embedding") {
+    if (arg == "--embedding" || arg == "--embeddings") {
         params.embedding = true;
         return true;
     }
-    if (arg == "--interactive-first") {
+    if (arg == "-if" || arg == "--interactive-first") {
         params.interactive_first = true;
         return true;
     }
-    if (arg == "-ins" || arg == "--instruct") {
-        params.instruct = true;
-        return true;
-    }
     if (arg == "-cnv" || arg == "--conversation") {
         params.conversation = true;
         return true;
     }
-    if (arg == "-cml" || arg == "--chatml") {
-        params.chatml = true;
-        return true;
-    }
     if (arg == "--infill") {
         params.infill = true;
         return true;
@@ -964,7 +957,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.flash_attn = true;
         return true;
     }
-    if (arg == "--color") {
+    if (arg == "-co" || arg == "--color") {
         params.use_color = true;
         return true;
     }
@@ -972,26 +965,26 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.use_mlock = true;
         return true;
     }
-    if (arg == "--gpu-layers" || arg == "-ngl" || arg == "--n-gpu-layers") {
+    if (arg == "-ngl" || arg == "--gpu-layers" || arg == "--n-gpu-layers") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
         }
         params.n_gpu_layers = std::stoi(argv[i]);
         if (!llama_supports_gpu_offload()) {
-            fprintf(stderr, "warning: not compiled with GPU offload support, --n-gpu-layers option will be ignored\n");
+            fprintf(stderr, "warning: not compiled with GPU offload support, --gpu-layers option will be ignored\n");
             fprintf(stderr, "warning: see main README.md for information on enabling GPU BLAS support\n");
         }
         return true;
     }
-    if (arg == "--gpu-layers-draft" || arg == "-ngld" || arg == "--n-gpu-layers-draft") {
+    if (arg == "-ngld" || arg == "--gpu-layers-draft" || arg == "--gpu-layers-draft") {
         if (++i >= argc) {
             invalid_param = true;
             return true;
         }
         params.n_gpu_layers_draft = std::stoi(argv[i]);
         if (!llama_supports_gpu_offload()) {
-            fprintf(stderr, "warning: not compiled with GPU offload support, --n-gpu-layers-draft option will be ignored\n");
+            fprintf(stderr, "warning: not compiled with GPU offload support, --gpu-layers-draft option will be ignored\n");
             fprintf(stderr, "warning: see main README.md for information on enabling GPU BLAS support\n");
         }
         return true;
@@ -1087,6 +1080,10 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         else { invalid_param = true; }
         return true;
     }
+    if (arg == "-v" || arg == "--verbose") {
+        params.verbose = true;
+        return true;
+    }
     if (arg == "--verbose-prompt") {
         params.verbose_prompt = true;
         return true;
@@ -1151,6 +1148,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.ppl_stride = std::stoi(argv[i]);
         return true;
     }
+    if (arg == "--ppl-output-type") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ppl_output_type = std::stoi(argv[i]);
+        return true;
+    }
     if (arg == "-ptc" || arg == "--print-token-count") {
         if (++i >= argc) {
             invalid_param = true;
@@ -1163,14 +1168,6 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.check_tensors = true;
         return true;
     }
-    if (arg == "--ppl-output-type") {
-        if (++i >= argc) {
-            invalid_param = true;
-            return true;
-        }
-        params.ppl_output_type = std::stoi(argv[i]);
-        return true;
-    }
     if (arg == "--hellaswag") {
         params.hellaswag = true;
         return true;
@@ -1242,19 +1239,15 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
-    if (arg == "-h" || arg == "--help") {
-        gpt_params_print_usage(argc, argv, gpt_params());
-        exit(0);
+    if (arg == "-h" || arg == "--help" || arg == "--usage"  ) {
+        params.usage = true;
+        return true;
     }
     if (arg == "--version") {
         fprintf(stderr, "version: %d (%s)\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT);
         fprintf(stderr, "built with %s for %s\n", LLAMA_COMPILER, LLAMA_BUILD_TARGET);
         exit(0);
     }
-    if (arg == "--random-prompt") {
-        params.random_prompt = true;
-        return true;
-    }
     if (arg == "--in-prefix-bos") {
         params.input_prefix_bos = true;
         return true;
@@ -1321,6 +1314,229 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
+    if (arg == "--host") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.hostname = argv[i];
+        return true;
+    }
+    if (arg == "--port") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.port = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--path") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.public_path = argv[i];
+        return true;
+    }
+    if (arg == "--api-key") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.api_keys.push_back(argv[i]);
+        return true;
+    }
+    if (arg == "--api-key-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream key_file(argv[i]);
+        if (!key_file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        std::string key;
+        while (std::getline(key_file, key)) {
+            if (!key.empty()) {
+                params.api_keys.push_back(key);
+            }
+        }
+        key_file.close();
+        return true;
+    }
+    if (arg == "--ssl-key-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ssl_file_key = argv[i];
+        return true;
+    }
+    if (arg == "--ssl-cert-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.ssl_file_cert = argv[i];
+        return true;
+    }
+    if (arg == "--timeout" || arg == "-to") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.timeout_read  = std::stoi(argv[i]);
+        params.timeout_write = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "-spf" || arg == "--system-prompt-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream file(argv[i]);
+        if (!file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        std::string system_prompt;
+        std::copy(
+                std::istreambuf_iterator<char>(file),
+                std::istreambuf_iterator<char>(),
+                std::back_inserter(system_prompt)
+                );
+        params.system_prompt = system_prompt;
+        return true;
+    }
+    if (arg == "--log-format") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        if (std::strcmp(argv[i], "json") == 0) {
+            params.log_json = true;
+        } else if (std::strcmp(argv[i], "text") == 0) {
+            params.log_json = false;
+        } else {
+            invalid_param = true;
+            return true;
+        }
+        return true;
+    }
+    if (arg == "--no-slots") {
+        params.endpoint_slots = false;
+        return true;
+    }
+    if (arg == "--metrics") {
+        params.endpoint_metrics = true;
+        return true;
+    }
+    if (arg == "--slot-save-path") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.slot_save_path = argv[i];
+        // if doesn't end with DIRECTORY_SEPARATOR, add it
+        if (!params.slot_save_path.empty() && params.slot_save_path[params.slot_save_path.size() - 1] != DIRECTORY_SEPARATOR) {
+            params.slot_save_path += DIRECTORY_SEPARATOR;
+        }
+        return true;
+    }
+    if (arg == "--chat-template") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        if (!llama_chat_verify_template(argv[i])) {
+            fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
+            fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
+            invalid_param = true;
+            return true;
+        }
+        params.chat_template = argv[i];
+        return true;
+    }
+    if (arg == "-pps") {
+        params.is_pp_shared = true;
+        return true;
+    }
+    if (arg == "-npp") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_pp.insert(params.n_pp.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "-ntg") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_tg.insert(params.n_tg.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "-npl") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        auto p = string_split<int>(argv[i], split_delim);
+        params.n_pl.insert(params.n_pl.end(), p.begin(), p.end());
+        return true;
+    }
+    if (arg == "--context-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream file(argv[i], std::ios::binary);
+        if (!file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        params.context_files.push_back(argv[i]);
+        return true;
+    }
+    if (arg == "--chunk-size") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.chunk_size = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--chunk-separator") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.chunk_separator = argv[i];
+        return true;
+    }
+    if (arg == "--junk") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_junk = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--pos") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.i_pos = std::stoi(argv[i]);
+        return true;
+    }
 #ifndef LOG_DISABLE_LOGS
     // Parse args for logging parameters
     if (log_param_single_parse(argv[i])) {
@@ -1348,6 +1564,16 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
     return false;
 }
 
+#ifdef __GNUC__
+#ifdef __MINGW32__
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...) __attribute__((format(gnu_printf, __VA_ARGS__)))
+#else
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...) __attribute__((format(printf, __VA_ARGS__)))
+#endif
+#else
+#define LLAMA_COMMON_ATTRIBUTE_FORMAT(...)
+#endif
+
 void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
     const llama_sampling_params & sparams = params.sparams;
 
@@ -1359,198 +1585,290 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     }
     sampler_type_names.pop_back();
 
-    printf("\n");
-    printf("usage: %s [options]\n", argv[0]);
-    printf("\n");
-    printf("options:\n");
-    printf("  -h, --help            show this help message and exit\n");
-    printf("  --version             show version and build info\n");
-    printf("  -i, --interactive     run in interactive mode\n");
-    printf("  --special             special tokens output enabled\n");
-    printf("  --interactive-specials allow special tokens in user text, in interactive mode\n");
-    printf("  --interactive-first   run in interactive mode and wait for input right away\n");
-    printf("  -cnv, --conversation  run in conversation mode (does not print special tokens and suffix/prefix)\n");
-    printf("  -ins, --instruct      run in instruction mode (use with Alpaca models)\n");
-    printf("  -cml, --chatml        run in chatml mode (use with ChatML-compatible models)\n");
-    printf("  --multiline-input     allows you to write or paste multiple lines without ending each in '\\'\n");
-    printf("  -r PROMPT, --reverse-prompt PROMPT\n");
-    printf("                        halt generation at PROMPT, return control in interactive mode\n");
-    printf("                        (can be specified more than once for multiple prompts).\n");
-    printf("  --color               colorise output to distinguish prompt and user input from generations\n");
-    printf("  -s SEED, --seed SEED  RNG seed (default: -1, use random seed for < 0)\n");
-    printf("  -t N, --threads N     number of threads to use during generation (default: %d)\n", params.n_threads);
-    printf("  -tb N, --threads-batch N\n");
-    printf("                        number of threads to use during batch and prompt processing (default: same as --threads)\n");
-    printf("  -td N, --threads-draft N");
-    printf("                        number of threads to use during generation (default: same as --threads)\n");
-    printf("  -tbd N, --threads-batch-draft N\n");
-    printf("                        number of threads to use during batch and prompt processing (default: same as --threads-draft)\n");
-    printf("  -p PROMPT, --prompt PROMPT\n");
-    printf("                        prompt to start generation with (default: empty)\n");
-    printf("  -e, --escape          process prompt escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\)\n");
-    printf("  --prompt-cache FNAME  file to cache prompt state for faster startup (default: none)\n");
-    printf("  --prompt-cache-all    if specified, saves user input and generations to cache as well.\n");
-    printf("                        not supported with --interactive or other interactive options\n");
-    printf("  --prompt-cache-ro     if specified, uses the prompt cache but does not update it.\n");
-    printf("  --random-prompt       start with a randomized prompt.\n");
-    printf("  --in-prefix-bos       prefix BOS to user inputs, preceding the `--in-prefix` string\n");
-    printf("  --in-prefix STRING    string to prefix user inputs with (default: empty)\n");
-    printf("  --in-suffix STRING    string to suffix after user inputs with (default: empty)\n");
-    printf("  -f FNAME, --file FNAME\n");
-    printf("                        prompt file to start generation.\n");
-    printf("  -bf FNAME, --binary-file FNAME\n");
-    printf("                        binary file containing multiple choice tasks.\n");
-    printf("  -n N, --n-predict N   number of tokens to predict (default: %d, -1 = infinity, -2 = until context filled)\n", params.n_predict);
-    printf("  -c N, --ctx-size N    size of the prompt context (default: %d, 0 = loaded from model)\n", params.n_ctx);
-    printf("  -b N, --batch-size N  logical maximum batch size (default: %d)\n", params.n_batch);
-    printf("  -ub N, --ubatch-size N\n");
-    printf("                        physical maximum batch size (default: %d)\n", params.n_ubatch);
-    printf("  --samplers            samplers that will be used for generation in the order, separated by \';\'\n");
-    printf("                        (default: %s)\n", sampler_type_names.c_str());
-    printf("  --sampling-seq        simplified sequence for samplers that will be used (default: %s)\n", sampler_type_chars.c_str());
-    printf("  --top-k N             top-k sampling (default: %d, 0 = disabled)\n", sparams.top_k);
-    printf("  --top-p N             top-p sampling (default: %.1f, 1.0 = disabled)\n", (double)sparams.top_p);
-    printf("  --min-p N             min-p sampling (default: %.1f, 0.0 = disabled)\n", (double)sparams.min_p);
-    printf("  --tfs N               tail free sampling, parameter z (default: %.1f, 1.0 = disabled)\n", (double)sparams.tfs_z);
-    printf("  --typical N           locally typical sampling, parameter p (default: %.1f, 1.0 = disabled)\n", (double)sparams.typical_p);
-    printf("  --repeat-last-n N     last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)\n", sparams.penalty_last_n);
-    printf("  --repeat-penalty N    penalize repeat sequence of tokens (default: %.1f, 1.0 = disabled)\n", (double)sparams.penalty_repeat);
-    printf("  --presence-penalty N  repeat alpha presence penalty (default: %.1f, 0.0 = disabled)\n", (double)sparams.penalty_present);
-    printf("  --frequency-penalty N repeat alpha frequency penalty (default: %.1f, 0.0 = disabled)\n", (double)sparams.penalty_freq);
-    printf("  --dynatemp-range N    dynamic temperature range (default: %.1f, 0.0 = disabled)\n", (double)sparams.dynatemp_range);
-    printf("  --dynatemp-exp N      dynamic temperature exponent (default: %.1f)\n", (double)sparams.dynatemp_exponent);
-    printf("  --mirostat N          use Mirostat sampling.\n");
-    printf("                        Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used.\n");
-    printf("                        (default: %d, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)\n", sparams.mirostat);
-    printf("  --mirostat-lr N       Mirostat learning rate, parameter eta (default: %.1f)\n", (double)sparams.mirostat_eta);
-    printf("  --mirostat-ent N      Mirostat target entropy, parameter tau (default: %.1f)\n", (double)sparams.mirostat_tau);
-    printf("  -l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS\n");
-    printf("                        modifies the likelihood of token appearing in the completion,\n");
-    printf("                        i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',\n");
-    printf("                        or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'\n");
-    printf("  --grammar GRAMMAR     BNF-like grammar to constrain generations (see samples in grammars/ dir)\n");
-    printf("  --grammar-file FNAME  file to read grammar from\n");
-    printf("  -j SCHEMA, --json-schema SCHEMA\n");
-    printf("                        JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object.\n");
-    printf("                        For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead\n");
-    printf("  --cfg-negative-prompt PROMPT\n");
-    printf("                        negative prompt to use for guidance. (default: empty)\n");
-    printf("  --cfg-negative-prompt-file FNAME\n");
-    printf("                        negative prompt file to use for guidance. (default: empty)\n");
-    printf("  --cfg-scale N         strength of guidance (default: %f, 1.0 = disable)\n", sparams.cfg_scale);
-    printf("  --rope-scaling {none,linear,yarn}\n");
-    printf("                        RoPE frequency scaling method, defaults to linear unless specified by the model\n");
-    printf("  --rope-scale N        RoPE context scaling factor, expands context by a factor of N\n");
-    printf("  --rope-freq-base N    RoPE base frequency, used by NTK-aware scaling (default: loaded from model)\n");
-    printf("  --rope-freq-scale N   RoPE frequency scaling factor, expands context by a factor of 1/N\n");
-    printf("  --yarn-orig-ctx N     YaRN: original context size of model (default: 0 = model training context size)\n");
-    printf("  --yarn-ext-factor N   YaRN: extrapolation mix factor (default: 1.0, 0.0 = full interpolation)\n");
-    printf("  --yarn-attn-factor N  YaRN: scale sqrt(t) or attention magnitude (default: 1.0)\n");
-    printf("  --yarn-beta-slow N    YaRN: high correction dim or alpha (default: %.1f)\n", params.yarn_beta_slow);
-    printf("  --yarn-beta-fast N    YaRN: low correction dim or beta (default: %.1f)\n", params.yarn_beta_fast);
-    printf("  --pooling {none,mean,cls}\n");
-    printf("                        pooling type for embeddings, use model default if unspecified\n");
-    printf("  -dt N, --defrag-thold N\n");
-    printf("                        KV cache defragmentation threshold (default: %.1f, < 0 - disabled)\n", params.defrag_thold);
-    printf("  --ignore-eos          ignore end of stream token and continue generating (implies --logit-bias 2-inf)\n");
-    printf("  --penalize-nl         penalize newline tokens\n");
-    printf("  --temp N              temperature (default: %.1f)\n", (double)sparams.temp);
-    printf("  --all-logits          return logits for all tokens in the batch (default: disabled)\n");
-    printf("  --hellaswag           compute HellaSwag score over random tasks from datafile supplied with -f\n");
-    printf("  --hellaswag-tasks N   number of tasks to use when computing the HellaSwag score (default: %zu)\n", params.hellaswag_tasks);
-    printf("  --winogrande          compute Winogrande score over random tasks from datafile supplied with -f\n");
-    printf("  --winogrande-tasks N  number of tasks to use when computing the Winogrande score (default: %zu)\n", params.winogrande_tasks);
-    printf("  --multiple-choice     compute multiple choice score over random tasks from datafile supplied with -f\n");
-    printf("  --multiple-choice-tasks N number of tasks to use when computing the multiple choice score (default: %zu)\n", params.winogrande_tasks);
-    printf("  --kl-divergence       computes KL-divergence to logits provided via --kl-divergence-base\n");
-    printf("  --keep N              number of tokens to keep from the initial prompt (default: %d, -1 = all)\n", params.n_keep);
-    printf("  --draft N             number of tokens to draft for speculative decoding (default: %d)\n", params.n_draft);
-    printf("  --chunks N            max number of chunks to process (default: %d, -1 = all)\n", params.n_chunks);
-    printf("  -np N, --parallel N   number of parallel sequences to decode (default: %d)\n", params.n_parallel);
-    printf("  -ns N, --sequences N  number of sequences to decode (default: %d)\n", params.n_sequences);
-    printf("  -ps N, --p-split N    speculative decoding split probability (default: %.1f)\n", (double)params.p_split);
-    printf("  -cb, --cont-batching  enable continuous batching (a.k.a dynamic batching) (default: disabled)\n");
-    printf("  -fa, --flash-attn     enable Flash Attention (default: %s)\n", params.flash_attn ? "enabled" : "disabled");
-    printf("  --mmproj MMPROJ_FILE  path to a multimodal projector file for LLaVA. see examples/llava/README.md\n");
-    printf("  --image IMAGE_FILE    path to an image file. use with multimodal models. Specify multiple times for batching\n");
+    struct option_info {
+        LLAMA_COMMON_ATTRIBUTE_FORMAT(4, 5)
+        option_info(const std::string & tags, const char * args, const char * desc, ...) : tags(tags), args(args), desc(desc) {
+            va_list args_list;
+            va_start(args_list, desc);
+            char buffer[1024];
+            vsnprintf(buffer, sizeof(buffer), desc, args_list);
+            va_end(args_list);
+            this->desc = buffer;
+        }
+
+        option_info(const std::string & grp) : grp(grp) {}
+
+        std::string tags;
+        std::string args;
+        std::string desc;
+        std::string grp;
+    };
+
+    std::vector<option_info> options;
+
+    // TODO: filter by tags
+
+    options.push_back({ "general" });
+    options.push_back({ "*",           "-h,    --help, --usage",        "print usage and exit" });
+    options.push_back({ "*",           "       --version",              "show version and build info" });
+    options.push_back({ "*",           "-v,    --verbose",              "print verbose information" });
+    options.push_back({ "*",           "       --verbose-prompt",       "print a verbose prompt before generation (default: %s)", params.verbose_prompt ? "true" : "false" });
+    options.push_back({ "*",           "       --no-display-prompt",    "don't print prompt at generation (default: %s)", !params.display_prompt ? "true" : "false" });
+    options.push_back({ "*",           "-co,   --color",                "colorise output to distinguish prompt and user input from generations (default: %s)", params.use_color ? "true" : "false" });
+    options.push_back({ "*",           "-s,    --seed SEED",            "RNG seed (default: %d, use random seed for < 0)", params.seed });
+    options.push_back({ "*",           "-t,    --threads N",            "number of threads to use during generation (default: %d)", params.n_threads });
+    options.push_back({ "*",           "-tb,   --threads-batch N",      "number of threads to use during batch and prompt processing (default: same as --threads)" });
+    options.push_back({ "speculative", "-td,   --threads-draft N",      "number of threads to use during generation (default: same as --threads)" });
+    options.push_back({ "speculative", "-tbd,  --threads-batch-draft N",
+                                                                        "number of threads to use during batch and prompt processing (default: same as --threads-draft)" });
+    options.push_back({ "speculative", "       --draft N",              "number of tokens to draft for speculative decoding (default: %d)", params.n_draft });
+    options.push_back({ "speculative", "-ps,   --p-split N",            "speculative decoding split probability (default: %.1f)", (double)params.p_split });
+    options.push_back({ "*",           "-lcs,  --lookup-cache-static FNAME",
+                                                                        "path to static lookup cache to use for lookup decoding (not updated by generation)" });
+    options.push_back({ "*",           "-lcd,  --lookup-cache-dynamic FNAME",
+                                                                        "path to dynamic lookup cache to use for lookup decoding (updated by generation)" });
+
+    options.push_back({ "*",           "-c,    --ctx-size N",           "size of the prompt context (default: %d, 0 = loaded from model)", params.n_ctx });
+    options.push_back({ "*",           "-n,    --predict N",            "number of tokens to predict (default: %d, -1 = infinity, -2 = until context filled)", params.n_predict });
+    options.push_back({ "*",           "-b,    --batch-size N",         "logical maximum batch size (default: %d)", params.n_batch });
+    options.push_back({ "*",           "-ub,   --ubatch-size N",        "physical maximum batch size (default: %d)", params.n_ubatch });
+    options.push_back({ "*",           "       --keep N",               "number of tokens to keep from the initial prompt (default: %d, -1 = all)", params.n_keep });
+    options.push_back({ "*",           "       --chunks N",             "max number of chunks to process (default: %d, -1 = all)", params.n_chunks });
+    options.push_back({ "*",           "-fa,   --flash-attn",           "enable Flash Attention (default: %s)", params.flash_attn ? "enabled" : "disabled" });
+    options.push_back({ "*",           "-p,    --prompt PROMPT",        "prompt to start generation with (default: '%s')", params.prompt.c_str() });
+    options.push_back({ "*",           "-f,    --file FNAME",           "a file containing the prompt (default: none)" });
+    options.push_back({ "*",           "-bf,   --binary-file FNAME",    "binary file containing the prompt (default: none)" });
+    options.push_back({ "*",           "-e,    --escape",               "process escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\) (default: %s)", params.escape ? "true" : "false" });
+    options.push_back({ "*",           "       --no-escape",            "do not process escape sequences" });
+    options.push_back({ "main",        "-ptc,  --print-token-count N",  "print token count every N tokens (default: %d)", params.n_print });
+    options.push_back({ "main",        "       --prompt-cache FNAME",   "file to cache prompt state for faster startup (default: none)" });
+    options.push_back({ "main",        "       --prompt-cache-all",     "if specified, saves user input and generations to cache as well\n"
+                                                                        "not supported with --interactive or other interactive options" });
+    options.push_back({ "main",        "       --prompt-cache-ro",      "if specified, uses the prompt cache but does not update it" });
+    options.push_back({ "main",        "-r,    --reverse-prompt PROMPT",
+                                                                        "halt generation at PROMPT, return control in interactive mode\n"
+                                                                        "can be specified more than once for multiple prompts" });
+    options.push_back({ "main",        "-sp,   --special",              "special tokens output enabled (default: %s)", params.special ? "true" : "false" });
+    options.push_back({ "main",        "-cnv,  --conversation",         "run in conversation mode (does not print special tokens and suffix/prefix) (default: %s)", params.conversation ? "true" : "false" });
+    options.push_back({ "main infill", "-i,    --interactive",          "run in interactive mode (default: %s)", params.interactive ? "true" : "false" });
+    options.push_back({ "main infill", "-if,   --interactive-first",    "run in interactive mode and wait for input right away (default: %s)", params.interactive_first ? "true" : "false" });
+    options.push_back({ "main infill", "-mli,  --multiline-input",      "allows you to write or paste multiple lines without ending each in '\\'" });
+    options.push_back({ "main infill", "       --in-prefix-bos",        "prefix BOS to user inputs, preceding the `--in-prefix` string" });
+    options.push_back({ "main infill", "       --in-prefix STRING",     "string to prefix user inputs with (default: empty)" });
+    options.push_back({ "main infill", "       --in-suffix STRING",     "string to suffix after user inputs with (default: empty)" });
+
+    options.push_back({ "sampling" });
+    options.push_back({ "*",           "       --samplers SAMPLERS",    "samplers that will be used for generation in the order, separated by \';\'\n"
+                                                                        "(default: %s)", sampler_type_names.c_str() });
+    options.push_back({ "*",           "       --sampling-seq SEQUENCE",
+                                                                        "simplified sequence for samplers that will be used (default: %s)", sampler_type_chars.c_str() });
+    options.push_back({ "*",           "       --ignore-eos",           "ignore end of stream token and continue generating (implies --logit-bias EOS-inf)" });
+    options.push_back({ "*",           "       --penalize-nl",          "penalize newline tokens (default: %s)", sparams.penalize_nl ? "true" : "false" });
+    options.push_back({ "*",           "       --temp N",               "temperature (default: %.1f)", (double)sparams.temp });
+    options.push_back({ "*",           "       --top-k N",              "top-k sampling (default: %d, 0 = disabled)", sparams.top_k });
+    options.push_back({ "*",           "       --top-p N",              "top-p sampling (default: %.1f, 1.0 = disabled)", (double)sparams.top_p });
+    options.push_back({ "*",           "       --min-p N",              "min-p sampling (default: %.1f, 0.0 = disabled)", (double)sparams.min_p });
+    options.push_back({ "*",           "       --tfs N",                "tail free sampling, parameter z (default: %.1f, 1.0 = disabled)", (double)sparams.tfs_z });
+    options.push_back({ "*",           "       --typical N",            "locally typical sampling, parameter p (default: %.1f, 1.0 = disabled)", (double)sparams.typical_p });
+    options.push_back({ "*",           "       --repeat-last-n N",      "last n tokens to consider for penalize (default: %d, 0 = disabled, -1 = ctx_size)", sparams.penalty_last_n });
+    options.push_back({ "*",           "       --repeat-penalty N",     "penalize repeat sequence of tokens (default: %.1f, 1.0 = disabled)", (double)sparams.penalty_repeat });
+    options.push_back({ "*",           "       --presence-penalty N",   "repeat alpha presence penalty (default: %.1f, 0.0 = disabled)", (double)sparams.penalty_present });
+    options.push_back({ "*",           "       --frequency-penalty N",  "repeat alpha frequency penalty (default: %.1f, 0.0 = disabled)", (double)sparams.penalty_freq });
+    options.push_back({ "*",           "       --dynatemp-range N",     "dynamic temperature range (default: %.1f, 0.0 = disabled)", (double)sparams.dynatemp_range });
+    options.push_back({ "*",           "       --dynatemp-exp N",       "dynamic temperature exponent (default: %.1f)", (double)sparams.dynatemp_exponent });
+    options.push_back({ "*",           "       --mirostat N",           "use Mirostat sampling.\n"
+                                                                        "Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used.\n"
+                                                                        "(default: %d, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)", sparams.mirostat });
+    options.push_back({ "*",           "       --mirostat-lr N",        "Mirostat learning rate, parameter eta (default: %.1f)", (double)sparams.mirostat_eta });
+    options.push_back({ "*",           "       --mirostat-ent N",       "Mirostat target entropy, parameter tau (default: %.1f)", (double)sparams.mirostat_tau });
+    options.push_back({ "*",           "       -l TOKEN_ID(+/-)BIAS",   "modifies the likelihood of token appearing in the completion,\n"
+                                                                        "i.e. `--logit-bias 15043+1` to increase likelihood of token ' Hello',\n"
+                                                                        "or `--logit-bias 15043-1` to decrease likelihood of token ' Hello'" });
+    options.push_back({ "main",        "       --cfg-negative-prompt PROMPT",
+                                                                        "negative prompt to use for guidance (default: '%s')", sparams.cfg_negative_prompt.c_str() });
+    options.push_back({ "main",        "       --cfg-negative-prompt-file FNAME",
+                                                                        "negative prompt file to use for guidance" });
+    options.push_back({ "main",        "       --cfg-scale N",          "strength of guidance (default: %.1f, 1.0 = disable)", (double)sparams.cfg_scale });
+
+    options.push_back({ "grammar" });
+    options.push_back({ "*",           "       --grammar GRAMMAR",      "BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", sparams.grammar.c_str() });
+    options.push_back({ "*",           "       --grammar-file FNAME",   "file to read grammar from" });
+    options.push_back({ "*",           "-j,    --json-schema SCHEMA",
+                                                                        "JSON schema to constrain generations (https://json-schema.org/), e.g. `{}` for any JSON object\n"
+                                                                        "For schemas w/ external $refs, use --grammar + example/json_schema_to_grammar.py instead" });
+
+    options.push_back({ "embedding" });
+    options.push_back({ "embedding",   "       --pooling {none,mean,cls}",
+                                                                        "pooling type for embeddings, use model default if unspecified" });
+
+    options.push_back({ "context hacking" });
+    options.push_back({ "*",           "       --rope-scaling {none,linear,yarn}",
+                                                                        "RoPE frequency scaling method, defaults to linear unless specified by the model" });
+    options.push_back({ "*",           "       --rope-scale N",         "RoPE context scaling factor, expands context by a factor of N" });
+    options.push_back({ "*",           "       --rope-freq-base N",     "RoPE base frequency, used by NTK-aware scaling (default: loaded from model)" });
+    options.push_back({ "*",           "       --rope-freq-scale N",    "RoPE frequency scaling factor, expands context by a factor of 1/N" });
+    options.push_back({ "*",           "       --yarn-orig-ctx N",      "YaRN: original context size of model (default: %d = model training context size)", params.yarn_orig_ctx });
+    options.push_back({ "*",           "       --yarn-ext-factor N",    "YaRN: extrapolation mix factor (default: %.1f, 0.0 = full interpolation)", (double)params.yarn_ext_factor });
+    options.push_back({ "*",           "       --yarn-attn-factor N",   "YaRN: scale sqrt(t) or attention magnitude (default: %.1f)", (double)params.yarn_attn_factor });
+    options.push_back({ "*",           "       --yarn-beta-slow N",     "YaRN: high correction dim or alpha (default: %.1f)", (double)params.yarn_beta_slow });
+    options.push_back({ "*",           "       --yarn-beta-fast N",     "YaRN: low correction dim or beta (default: %.1f)", (double)params.yarn_beta_fast });
+    options.push_back({ "*",           "-gan,  --grp-attn-n N",         "group-attention factor (default: %d)", params.grp_attn_n });
+    options.push_back({ "*",           "-gaw,  --grp-attn-w N",         "group-attention width (default: %.1f)", (double)params.grp_attn_w });
+    options.push_back({ "*",           "-dkvc, --dump-kv-cache",        "verbose print of the KV cache" });
+    options.push_back({ "*",           "-nkvo, --no-kv-offload",        "disable KV offload" });
+    options.push_back({ "*",           "-ctk,  --cache-type-k TYPE",    "KV cache data type for K (default: %s)", params.cache_type_k.c_str() });
+    options.push_back({ "*",           "-ctv,  --cache-type-v TYPE",    "KV cache data type for V (default: %s)", params.cache_type_v.c_str() });
+
+    options.push_back({ "perplexity" });
+    options.push_back({ "perplexity",  "       --all-logits",           "return logits for all tokens in the batch (default: %s)", params.logits_all ? "true" : "false" });
+    options.push_back({ "perplexity",  "       --hellaswag",            "compute HellaSwag score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --hellaswag-tasks N",    "number of tasks to use when computing the HellaSwag score (default: %zu)", params.hellaswag_tasks });
+    options.push_back({ "perplexity",  "       --winogrande",           "compute Winogrande score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --winogrande-tasks N",   "number of tasks to use when computing the Winogrande score (default: %zu)", params.winogrande_tasks });
+    options.push_back({ "perplexity",  "       --multiple-choice",      "compute multiple choice score over random tasks from datafile supplied with -f" });
+    options.push_back({ "perplexity",  "       --multiple-choice-tasks N",
+                                                                        "number of tasks to use when computing the multiple choice score (default: %zu)", params.multiple_choice_tasks });
+    options.push_back({ "perplexity",  "       --kl-divergence",        "computes KL-divergence to logits provided via --kl-divergence-base" });
+    options.push_back({ "perplexity",  "       --ppl-stride N",         "stride for perplexity calculation (default: %d)", params.ppl_stride });
+    options.push_back({ "perplexity",  "       --ppl-output-type {0,1}",
+                                                                        "output type for perplexity calculation (default: %d)", params.ppl_output_type });
+
+    options.push_back({ "parallel" });
+    options.push_back({ "*",           "-dt,   --defrag-thold N",       "KV cache defragmentation threshold (default: %.1f, < 0 - disabled)", (double)params.defrag_thold });
+    options.push_back({ "*",           "-np,   --parallel N",           "number of parallel sequences to decode (default: %d)", params.n_parallel });
+    options.push_back({ "*",           "-ns,   --sequences N",          "number of sequences to decode (default: %d)", params.n_sequences });
+    options.push_back({ "*",           "-cb,   --cont-batching",        "enable continuous batching (a.k.a dynamic batching) (default: %s)", params.cont_batching ? "enabled" : "disabled" });
+
+    options.push_back({ "multi-modality" });
+    options.push_back({ "*",           "       --mmproj FILE",          "path to a multimodal projector file for LLaVA. see examples/llava/README.md" });
+    options.push_back({ "*",           "       --image FILE",           "path to an image file. use with multimodal models. Specify multiple times for batching" });
+
+    options.push_back({ "backend" });
+    options.push_back({ "*",           "       --rpc SERVERS",          "comma separated list of RPC servers" });
     if (llama_supports_mlock()) {
-        printf("  --mlock               force system to keep model in RAM rather than swapping or compressing\n");
+        options.push_back({ "*",           "       --mlock",                "force system to keep model in RAM rather than swapping or compressing" });
     }
     if (llama_supports_mmap()) {
-        printf("  --no-mmap             do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
+        options.push_back({ "*",           "       --no-mmap",              "do not memory-map model (slower load but may reduce pageouts if not using mlock)" });
     }
-    printf("  --numa TYPE           attempt optimizations that help on some NUMA systems\n");
-    printf("                          - distribute: spread execution evenly over all nodes\n");
-    printf("                          - isolate: only spawn threads on CPUs on the node that execution started on\n");
-    printf("                          - numactl: use the CPU map provided by numactl\n");
-    printf("                        if run without this previously, it is recommended to drop the system page cache before using this\n");
-    printf("                        see https://github.com/ggerganov/llama.cpp/issues/1437\n");
+    options.push_back({ "*",           "       --numa TYPE",            "attempt optimizations that help on some NUMA systems\n"
+                                                                        "  - distribute: spread execution evenly over all nodes\n"
+                                                                        "  - isolate: only spawn threads on CPUs on the node that execution started on\n"
+                                                                        "  - numactl: use the CPU map provided by numactl\n"
+                                                                        "if run without this previously, it is recommended to drop the system page cache before using this\n"
+                                                                        "see https://github.com/ggerganov/llama.cpp/issues/1437" });
+
     if (llama_supports_gpu_offload()) {
-        printf("  -ngl N, --n-gpu-layers N\n");
-        printf("                        number of layers to store in VRAM\n");
-        printf("  -ngld N, --n-gpu-layers-draft N\n");
-        printf("                        number of layers to store in VRAM for the draft model\n");
-        printf("  -sm SPLIT_MODE, --split-mode SPLIT_MODE\n");
-        printf("                        how to split the model across multiple GPUs, one of:\n");
-        printf("                          - none: use one GPU only\n");
-        printf("                          - layer (default): split layers and KV across GPUs\n");
-        printf("                          - row: split rows across GPUs\n");
-        printf("  -ts SPLIT, --tensor-split SPLIT\n");
-        printf("                        fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1\n");
-        printf("  -mg i, --main-gpu i   the GPU to use for the model (with split-mode = none),\n");
-        printf("                        or for intermediate results and KV (with split-mode = row) (default: %d)\n", params.main_gpu);
+        options.push_back({ "*",           "-ngl,  --gpu-layers N",
+                                                                        "number of layers to store in VRAM" });
+        options.push_back({ "*",           "-ngld, --gpu-layers-draft N",
+                                                                        "number of layers to store in VRAM for the draft model" });
+        options.push_back({ "*",           "-sm,   --split-mode SPLIT_MODE",
+                                                                        "how to split the model across multiple GPUs, one of:\n"
+                                                                        "  - none: use one GPU only\n"
+                                                                        "  - layer (default): split layers and KV across GPUs\n"
+                                                                        "  - row: split rows across GPUs" });
+        options.push_back({ "*",           "-ts,   --tensor-split SPLIT",
+                                                                        "fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1" });
+        options.push_back({ "*",           "-mg,   --main-gpu i",       "the GPU to use for the model (with split-mode = none),\n"
+                                                                        "or for intermediate results and KV (with split-mode = row) (default: %d)", params.main_gpu });
     }
-    printf("  --rpc SERVERS         comma separated list of RPC servers\n");
-    printf("  --verbose-prompt      print a verbose prompt before generation (default: %s)\n", params.verbose_prompt ? "true" : "false");
-    printf("  --no-display-prompt   don't print prompt at generation (default: %s)\n", !params.display_prompt ? "true" : "false");
-    printf("  -gan N, --grp-attn-n N\n");
-    printf("                        group-attention factor (default: %d)\n", params.grp_attn_n);
-    printf("  -gaw N, --grp-attn-w N\n");
-    printf("                        group-attention width (default: %.1f)\n", (double)params.grp_attn_w);
-    printf("  -dkvc, --dump-kv-cache\n");
-    printf("                        verbose print of the KV cache\n");
-    printf("  -nkvo, --no-kv-offload\n");
-    printf("                        disable KV offload\n");
-    printf("  -ctk TYPE, --cache-type-k TYPE\n");
-    printf("                        KV cache data type for K (default: %s)\n", params.cache_type_k.c_str());
-    printf("  -ctv TYPE, --cache-type-v TYPE\n");
-    printf("                        KV cache data type for V (default: %s)\n", params.cache_type_v.c_str());
-    printf("  --simple-io           use basic IO for better compatibility in subprocesses and limited consoles\n");
-    printf("  --lora FNAME          apply LoRA adapter (implies --no-mmap)\n");
-    printf("  --lora-scaled FNAME S apply LoRA adapter with user defined scaling S (implies --no-mmap)\n");
-    printf("  --lora-base FNAME     optional model to use as a base for the layers modified by the LoRA adapter\n");
-    printf("  --control-vector FNAME\n");
-    printf("                        add a control vector\n");
-    printf("  --control-vector-scaled FNAME S\n");
-    printf("                        add a control vector with user defined scaling S\n");
-    printf("  --control-vector-layer-range START END\n");
-    printf("                        layer range to apply the control vector(s) to, start and end inclusive\n");
-    printf("  -m FNAME, --model FNAME\n");
-    printf("                        model path (default: models/$filename with filename from --hf-file or --model-url if set, otherwise %s)\n", DEFAULT_MODEL_PATH);
-    printf("  -md FNAME, --model-draft FNAME\n");
-    printf("                        draft model for speculative decoding (default: unused)\n");
-    printf("  -mu MODEL_URL, --model-url MODEL_URL\n");
-    printf("                        model download url (default: unused)\n");
-    printf("  -hfr REPO, --hf-repo REPO\n");
-    printf("                        Hugging Face model repository (default: unused)\n");
-    printf("  -hff FILE, --hf-file FILE\n");
-    printf("                        Hugging Face model file (default: unused)\n");
-    printf("  -ld LOGDIR, --logdir LOGDIR\n");
-    printf("                        path under which to save YAML logs (no logging if unset)\n");
-    printf("  -lcs FNAME, --lookup-cache-static FNAME\n");
-    printf("                        path to static lookup cache to use for lookup decoding (not updated by generation)\n");
-    printf("  -lcd FNAME, --lookup-cache-dynamic FNAME\n");
-    printf("                        path to dynamic lookup cache to use for lookup decoding (updated by generation)\n");
-    printf("  --override-kv KEY=TYPE:VALUE\n");
-    printf("                        advanced option to override model metadata by key. may be specified multiple times.\n");
-    printf("                        types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false\n");
-    printf("  -ptc N, --print-token-count N\n");
-    printf("                        print token count every N tokens (default: %d)\n", params.n_print);
-    printf("  --check-tensors       check model tensor data for invalid values\n");
-    printf("\n");
+
+    options.push_back({ "model" });
+    options.push_back({ "*",           "       --check-tensors",        "check model tensor data for invalid values (default: %s)", params.check_tensors ? "true" : "false" });
+    options.push_back({ "*",           "       --override-kv KEY=TYPE:VALUE",
+                                                                        "advanced option to override model metadata by key. may be specified multiple times.\n"
+                                                                        "types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false" });
+    options.push_back({ "*",           "       --lora FNAME",           "apply LoRA adapter (implies --no-mmap)" });
+    options.push_back({ "*",           "       --lora-scaled FNAME S",  "apply LoRA adapter with user defined scaling S (implies --no-mmap)" });
+    options.push_back({ "*",           "       --lora-base FNAME",      "optional model to use as a base for the layers modified by the LoRA adapter" });
+    options.push_back({ "*",           "       --control-vector FNAME", "add a control vector" });
+    options.push_back({ "*",           "       --control-vector-scaled FNAME SCALE",
+                                                                        "add a control vector with user defined scaling SCALE" });
+    options.push_back({ "*",           "       --control-vector-layer-range START END",
+                                                                        "layer range to apply the control vector(s) to, start and end inclusive" });
+    options.push_back({ "*",           "-m,    --model FNAME",          "model path (default: models/$filename with filename from --hf-file\n"
+                                                                        "or --model-url if set, otherwise %s)", DEFAULT_MODEL_PATH });
+    options.push_back({ "*",           "-md,   --model-draft FNAME",    "draft model for speculative decoding (default: unused)" });
+    options.push_back({ "*",           "-mu,   --model-url MODEL_URL",  "model download url (default: unused)" });
+    options.push_back({ "*",           "-hfr,  --hf-repo REPO",         "Hugging Face model repository (default: unused)" });
+    options.push_back({ "*",           "-hff,  --hf-file FILE",         "Hugging Face model file (default: unused)" });
+
+    options.push_back({ "retrieval" });
+    options.push_back({ "retrieval",   "       --context-file FNAME",   "file to load context from (repeat to specify multiple files)" });
+    options.push_back({ "retrieval",   "       --chunk-size N",         "minimum length of embedded text chunks (default: %d)", params.chunk_size });
+    options.push_back({ "retrieval",   "       --chunk-separator STRING",
+                                                                        "separator between chunks (default: '%s')", params.chunk_separator.c_str() });
+
+    options.push_back({ "passkey" });
+    options.push_back({ "passkey",     "       --junk N",               "number of times to repeat the junk text (default: %d)", params.n_junk });
+    options.push_back({ "passkey",     "       --pos N",                "position of the passkey in the junk text (default: %d)", params.i_pos });
+
+    options.push_back({ "bench" });
+    options.push_back({ "bench",       "-pps",                          "is the prompt shared across parallel sequences (default: %s)", params.is_pp_shared ? "true" : "false" });
+    options.push_back({ "bench",       "-npp n0,n1,...",                "number of prompt tokens" });
+    options.push_back({ "bench",       "-ntg n0,n1,...",                "number of text generation tokens" });
+    options.push_back({ "bench",       "-npl n0,n1,...",                "number of parallel prompts" });
+
+    options.push_back({ "server" });
+    options.push_back({ "server",      "       --host HOST",            "ip address to listen (default: %s)", params.hostname.c_str() });
+    options.push_back({ "server",      "       --port PORT",            "port to listen (default: %d)", params.port });
+    options.push_back({ "server",      "       --path PATH",            "path to serve static files from (default: %s)", params.public_path.c_str() });
+    options.push_back({ "server",      "       --embedding(s)",         "enable embedding endpoint (default: %s)", params.embedding ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --api-key KEY",          "API key to use for authentication (default: none)" });
+    options.push_back({ "server",      "       --api-key-file FNAME",   "path to file containing API keys (default: none)" });
+    options.push_back({ "server",      "       --ssl-key-file FNAME",   "path to file a PEM-encoded SSL private key" });
+    options.push_back({ "server",      "       --ssl-cert-file FNAME",  "path to file a PEM-encoded SSL certificate" });
+    options.push_back({ "server",      "       --timeout N",            "server read/write timeout in seconds (default: %d)", params.timeout_read });
+    options.push_back({ "server",      "       --system-prompt-file FNAME",
+                                                                        "set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications" });
+    options.push_back({ "server",      "       --log-format {text,json}",
+                                                                        "log output format: json or text (default: json)" });
+    options.push_back({ "server",      "       --metrics",              "enable prometheus compatible metrics endpoint (default: %s)", params.endpoint_metrics ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --no-slots",             "disables slots monitoring endpoint (default: %s)", params.endpoint_slots ? "enabled" : "disabled" });
+    options.push_back({ "server",      "       --slot-save-path PATH",  "path to save slot kv cache (default: disabled)" });
+    options.push_back({ "server",      "       --chat-template JINJA_TEMPLATE",
+                                                                        "set custom jinja chat template (default: template taken from model's metadata)\n"
+                                                                        "only commonly used templates are accepted:\n"
+                                                                        "https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template" });
+
 #ifndef LOG_DISABLE_LOGS
-    log_print_usage();
+    options.push_back({ "logging" });
+    options.push_back({ "*",           "       --simple-io",            "use basic IO for better compatibility in subprocesses and limited consoles" });
+    options.push_back({ "*",           "-ld,   --logdir LOGDIR",        "path under which to save YAML logs (no logging if unset)" });
+    options.push_back({ "logging",     "       --log-test",             "Run simple logging test" });
+    options.push_back({ "logging",     "       --log-disable",          "Disable trace logs" });
+    options.push_back({ "logging",     "       --log-enable",           "Enable trace logs" });
+    options.push_back({ "logging",     "       --log-file FNAME",       "Specify a log filename (without extension)" });
+    options.push_back({ "logging",     "       --log-new",              "Create a separate new log file on start. "
+                                                                        "Each log file will have unique name: \"<name>.<ID>.log\"" });
+    options.push_back({ "logging",     "       --log-append",           "Don't truncate the old log file." });
 #endif // LOG_DISABLE_LOGS
+
+    printf("usage: %s [options]\n", argv[0]);
+
+    for (const auto & o : options) {
+        if (!o.grp.empty()) {
+            printf("\n%s:\n\n", o.grp.c_str());
+            continue;
+        }
+        printf("  %-32s", o.args.c_str());
+        if (o.args.length() > 30) {
+            printf("\n%34s", "");
+        }
+
+        const auto desc = o.desc;
+        size_t start = 0;
+        size_t end = desc.find('\n');
+        while (end != std::string::npos) {
+            printf("%s\n%34s", desc.substr(start, end - start).c_str(), "");
+            start = end + 1;
+            end = desc.find('\n', start);
+        }
+
+        printf("%s\n", desc.substr(start).c_str());
+    }
+    printf("\n");
 }
 
 std::string gpt_params_get_system_info(const gpt_params & params) {
@@ -1610,24 +1928,6 @@ std::string string_get_sortable_timestamp() {
     return std::string(timestamp_no_ns) + "." + std::string(timestamp_ns);
 }
 
-std::string string_random_prompt(std::mt19937 & rng) {
-    const int r = rng() % 10;
-    switch (r) {
-        case 0: return "So";
-        case 1: return "Once upon a time";
-        case 2: return "When";
-        case 3: return "The";
-        case 4: return "After";
-        case 5: return "If";
-        case 6: return "import";
-        case 7: return "He";
-        case 8: return "She";
-        case 9: return "They";
-    }
-
-    GGML_UNREACHABLE();
-}
-
 void string_process_escapes(std::string & input) {
     std::size_t input_len = input.length();
     std::size_t output_idx = 0;
@@ -2503,6 +2803,12 @@ bool llama_should_add_bos_token(const llama_model * model) {
     return add_bos != -1 ? bool(add_bos) : (llama_vocab_type(model) == LLAMA_VOCAB_TYPE_SPM);
 }
 
+bool llama_chat_verify_template(const std::string & tmpl) {
+    llama_chat_message chat[] = {{"user", "test"}};
+    int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, nullptr, 0);
+    return res >= 0;
+}
+
 //
 // KV cache utils
 //
@@ -2902,9 +3208,7 @@ void yaml_dump_non_result_info(FILE * stream, const gpt_params & params, const l
     yaml_dump_string_multiline(stream, "in_prefix", params.input_prefix.c_str());
     fprintf(stream, "in_prefix_bos: %s # default: false\n", params.input_prefix_bos ? "true" : "false");
     yaml_dump_string_multiline(stream, "in_suffix", params.input_prefix.c_str());
-    fprintf(stream, "instruct: %s # default: false\n", params.instruct ? "true" : "false");
     fprintf(stream, "interactive: %s # default: false\n", params.interactive ? "true" : "false");
-    fprintf(stream, "interactive_specials: %s # default: false\n", params.interactive_specials ? "true" : "false");
     fprintf(stream, "interactive_first: %s # default: false\n", params.interactive_first ? "true" : "false");
     fprintf(stream, "keep: %d # default: 0\n", params.n_keep);
     fprintf(stream, "logdir: %s # default: unset (no logging)\n", params.logdir.c_str());
@@ -2954,7 +3258,6 @@ void yaml_dump_non_result_info(FILE * stream, const gpt_params & params, const l
     fprintf(stream, "prompt_cache_all: %s # default: false\n", params.prompt_cache_all ? "true" : "false");
     fprintf(stream, "prompt_cache_ro: %s # default: false\n", params.prompt_cache_ro ? "true" : "false");
     yaml_dump_vector_int(stream, "prompt_tokens", prompt_tokens);
-    fprintf(stream, "random_prompt: %s # default: false\n", params.random_prompt ? "true" : "false");
     fprintf(stream, "repeat_penalty: %f # default: 1.1\n", sparams.penalty_repeat);
 
     fprintf(stream, "reverse_prompt:\n");
diff --git a/common/common.h b/common/common.h
index 264504830..e0a08a61b 100644
--- a/common/common.h
+++ b/common/common.h
@@ -60,7 +60,7 @@ struct gpt_params {
     int32_t n_threads_batch       = -1;    // number of threads to use for batch processing (-1 = use n_threads)
     int32_t n_threads_batch_draft = -1;
     int32_t n_predict             = -1;    // new tokens to predict
-    int32_t n_ctx                 = 512;   // context size
+    int32_t n_ctx                 = 0;     // context size
     int32_t n_batch               = 2048;  // logical batch size for prompt processing (must be >=32 to use BLAS)
     int32_t n_ubatch              = 512;   // physical batch size for prompt processing (must be >=32 to use BLAS)
     int32_t n_keep                = 0;     // number of tokens to keep from initial prompt
@@ -99,23 +99,23 @@ struct gpt_params {
     // // sampling parameters
     struct llama_sampling_params sparams;
 
-    std::string model                = "";  // model path
-    std::string model_draft          = "";  // draft model for speculative decoding
+    std::string model                = ""; // model path
+    std::string model_draft          = ""; // draft model for speculative decoding
     std::string model_alias          = "unknown"; // model alias
-    std::string model_url            = "";  // model url to download
-    std::string hf_repo              = "";  // HF repo
-    std::string hf_file              = "";  // HF file
+    std::string model_url            = ""; // model url to download
+    std::string hf_repo              = ""; // HF repo
+    std::string hf_file              = ""; // HF file
     std::string prompt               = "";
-    std::string prompt_file          = "";  // store the external prompt file name
-    std::string path_prompt_cache    = "";  // path to file for saving/loading prompt eval state
-    std::string input_prefix         = "";  // string to prefix user inputs with
-    std::string input_suffix         = "";  // string to suffix user inputs with
-    std::vector<std::string> antiprompt; // string upon seeing which more user input is prompted
-    std::string logdir               = "";  // directory in which to save YAML log files
+    std::string prompt_file          = ""; // store the external prompt file name
+    std::string path_prompt_cache    = ""; // path to file for saving/loading prompt eval state
+    std::string input_prefix         = ""; // string to prefix user inputs with
+    std::string input_suffix         = ""; // string to suffix user inputs with
+    std::string logdir               = ""; // directory in which to save YAML log files
     std::string lookup_cache_static  = ""; // path of static ngram cache file for lookup decoding
     std::string lookup_cache_dynamic = ""; // path of dynamic ngram cache file for lookup decoding
-    std::string logits_file          = "";  // file for saving *all* logits
+    std::string logits_file          = ""; // file for saving *all* logits
 
+    std::vector<std::string> antiprompt; // strings upon which more user input is prompted (a.k.a. reverse prompts)
     std::vector<llama_model_kv_override> kv_overrides;
 
     // TODO: avoid tuple, use struct
@@ -127,8 +127,8 @@ struct gpt_params {
     int32_t control_vector_layer_start = -1; // layer range for control vector
     int32_t control_vector_layer_end   = -1; // layer range for control vector
 
-    int  ppl_stride        = 0;     // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
-    int  ppl_output_type   = 0;     // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
+    int32_t ppl_stride      = 0;    // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
+    int32_t ppl_output_type = 0;    // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
                                     //                                       (which is more convenient to use for plotting)
                                     //
     bool   hellaswag       = false; // compute HellaSwag score over random tasks from datafile supplied in prompt
@@ -142,19 +142,17 @@ struct gpt_params {
 
     bool   kl_divergence   = false; // compute KL divergence
 
-    bool random_prompt     = false; // do not randomize prompt if none provided
+    bool usage             = false; // print usage
     bool use_color         = false; // use color to distinguish generations and inputs
-    bool interactive       = false; // interactive mode
-    bool interactive_specials = false; // whether to allow special tokens from user, during interactive mode
     bool special           = false; // enable special token output
+    bool interactive       = false; // interactive mode
+    bool interactive_first = false; // wait for user input immediately
     bool conversation      = false; // conversation mode (does not print special tokens and suffix/prefix)
-    bool chatml            = false; // chatml mode (used for models trained on chatml syntax)
     bool prompt_cache_all  = false; // save user input and generations to prompt cache
     bool prompt_cache_ro   = false; // open the prompt cache read-only and do not update it
 
     bool embedding         = false; // get only sentence embedding
-    bool escape            = false; // escape "\n", "\r", "\t", "\'", "\"", and "\\"
-    bool interactive_first = false; // wait for user input immediately
+    bool escape            = true;  // escape "\n", "\r", "\t", "\'", "\"", and "\\"
     bool multiline_input   = false; // reverse the usage of `\`
     bool simple_io         = false; // improves compatibility with subprocesses and limited consoles
     bool cont_batching     = true;  // insert new sequences for decoding on-the-fly
@@ -162,10 +160,10 @@ struct gpt_params {
 
     bool input_prefix_bos  = false; // prefix BOS to user inputs, preceding input_prefix
     bool ignore_eos        = false; // ignore generated EOS tokens
-    bool instruct          = false; // instruction mode (used for Alpaca models)
     bool logits_all        = false; // return logits for all tokens in the batch
     bool use_mmap          = true;  // use mmap for faster loads
     bool use_mlock         = false; // use mlock to keep model in memory
+    bool verbose           = false;
     bool verbose_prompt    = false; // print prompt tokens before generation
     bool display_prompt    = true;  // print prompt before generation
     bool infill            = false; // use infill mode
@@ -180,6 +178,47 @@ struct gpt_params {
     // multimodal models (see examples/llava)
     std::string mmproj = "";        // path to multimodal projector
     std::vector<std::string> image; // path to image file(s)
+
+    // server params
+    int32_t port           = 8080;
+    int32_t timeout_read   = 600;
+    int32_t timeout_write  = timeout_read;
+    int32_t n_threads_http = -1;
+
+    std::string hostname      = "127.0.0.1";
+    std::string public_path   = "";
+    std::string chat_template = "";
+    std::string system_prompt = "";
+
+    std::vector<std::string> api_keys;
+
+    std::string ssl_file_key  = "";
+    std::string ssl_file_cert = "";
+
+    bool endpoint_slots   = true;
+    bool endpoint_metrics = false;
+
+    bool log_json = false;
+
+    std::string slot_save_path;
+
+    // batched-bench params
+    bool is_pp_shared = false;
+
+    std::vector<int32_t> n_pp;
+    std::vector<int32_t> n_tg;
+    std::vector<int32_t> n_pl;
+
+    // retrieval params
+    std::vector<std::string> context_files; // context files to embed
+
+    int32_t chunk_size = 64; // chunk size for context embedding
+
+    std::string chunk_separator = "\n"; // chunk separator for context embedding
+
+    // passkey params
+    int32_t n_junk = 250; // number of times to repeat the junk text
+    int32_t i_pos  = -1;  // position of the passkey in the junk text
 };
 
 void gpt_params_handle_model_default(gpt_params & params);
@@ -199,7 +238,20 @@ std::vector<std::string> string_split(std::string input, char separator);
 
 std::string string_strip(const std::string & str);
 std::string string_get_sortable_timestamp();
-std::string string_random_prompt(std::mt19937 & rng);
+
+template<class T>
+static std::vector<T> string_split(const std::string & str, char delim) {
+    std::vector<T> values;
+    std::istringstream str_stream(str);
+    std::string token;
+    while (std::getline(str_stream, token, delim)) {
+        T value;
+        std::istringstream token_stream(token);
+        token_stream >> value;
+        values.push_back(value);
+    }
+    return values;
+}
 
 bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides);
 void string_process_escapes(std::string & input);
@@ -282,6 +334,13 @@ std::string llama_detokenize_bpe(
 // defaults to true when model type is SPM, otherwise false.
 bool llama_should_add_bos_token(const llama_model * model);
 
+//
+// Chat template utils
+//
+
+// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
+bool llama_chat_verify_template(const std::string & tmpl);
+
 //
 // KV cache utils
 //
diff --git a/examples/batched-bench/README.md b/examples/batched-bench/README.md
index bf951baf7..fa4baf640 100644
--- a/examples/batched-bench/README.md
+++ b/examples/batched-bench/README.md
@@ -10,16 +10,16 @@ There are 2 modes of operation:
 - `prompt is shared` - there is a common prompt of size `PP` used by all batches (i.e. `N_KV = PP + B*TG`)
 
 ```bash
-./batched-bench MODEL_PATH [N_KV_MAX] [N_BATCH] [N_UBATCH] [IS_PP_SHARED] [NGL] [MMQ] <PP> <TG> <PL>
+./batched-bench -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]
 
 # LLaMA 7B, F16, N_KV_MAX = 16384 (8GB), prompt not shared
-./batched-bench ./models/llama-7b/ggml-model-f16.gguf 16384 2048 512 0 99
+./batched-bench -m ./models/llama-7b/ggml-model-f16.gguf -c 16384 -b 2048 -ub 512 -ngl 99
 
 # LLaMA 7B, Q8_0, N_KV_MAX = 16384 (8GB), prompt is shared
-./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 16384 2048 512 1 99
+./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 16384 -b 2048 -ub 512 -ngl 99 -pps
 
 # custom set of batches
-./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 2048 512 512 0 999 0 128,256,512 128,256 1,2,4,8,16,32
+./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 2048 -b 512 -ub 512 -ngl 999 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32
 ```
 
 ## Sample results
diff --git a/examples/batched-bench/batched-bench.cpp b/examples/batched-bench/batched-bench.cpp
index 2924d8116..718f0a61a 100644
--- a/examples/batched-bench/batched-bench.cpp
+++ b/examples/batched-bench/batched-bench.cpp
@@ -28,67 +28,27 @@ static std::vector<int> parse_list(char * p) {
     return ret;
 }
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [N_KV_MAX] [N_BATCH] [N_UBATCH] [FATTN] [IS_PP_SHARED] [NGL] <PP> <TG> <PL>\n" , argv[0]);
-        printf("  <PP>, <TG> and PL are comma-separated lists of numbers without spaces\n\n");
-        printf("  example: %s ggml-model-f16.gguf 2048 2048 512 0 999 128,256,512 128,256 1,2,4,8,16,32\n\n", argv[0]);
-        return 1 ;
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
-    int n_kv_max     = 2048;
-    int n_batch      = 2048;
-    int n_ubatch     = 512;
-    bool flash_attn  = false;
-    int is_pp_shared = 0;
-    int n_gpu_layers = 0;
+    int is_pp_shared = params.is_pp_shared;
 
-    std::vector<int> n_pp = { 128, 256, 512, 1024, 2048, 3584, 7680, };
-    std::vector<int> n_tg = { 128, 256, };
-    std::vector<int> n_pl = { 1, 2, 4, 8, 16, 32, };
-    //std::vector<int> n_pl = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 32, };
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        n_kv_max = std::atoi(argv[2]);
-    }
-
-    if (argc >= 4) {
-        n_batch = std::atoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        n_ubatch = std::atoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        flash_attn = std::atoi(argv[5]);
-    }
-
-    if (argc >= 7) {
-        is_pp_shared = std::atoi(argv[6]);
-    }
-
-    if (argc >= 8) {
-        n_gpu_layers = std::atoi(argv[7]);
-    }
-
-    if (argc >= 9) {
-        n_pp = parse_list(argv[8]);
-    }
-
-    if (argc >= 10) {
-        n_tg = parse_list(argv[9]);
-    }
-
-    if (argc >= 11) {
-        n_pl = parse_list(argv[10]);
-    }
+    std::vector<int> n_pp = params.n_pp;
+    std::vector<int> n_tg = params.n_tg;
+    std::vector<int> n_pl = params.n_pl;
 
     // init LLM
 
@@ -97,12 +57,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    const std::vector<float> t_split(llama_max_devices(), 0.0f);
-
-    model_params.n_gpu_layers = n_gpu_layers;
-    model_params.tensor_split = t_split.data();
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -111,16 +66,7 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    llama_context_params ctx_params = llama_context_default_params();
-
-    ctx_params.seed       = 1234;
-    ctx_params.n_ctx      = n_kv_max;
-    ctx_params.n_batch    = n_batch;
-    ctx_params.n_ubatch   = n_ubatch;
-    ctx_params.flash_attn = flash_attn;
-
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
     // ensure enough sequences are available
     ctx_params.n_seq_max = *std::max_element(n_pl.begin(), n_pl.end());
@@ -132,6 +78,8 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
+    const int32_t n_kv_max = llama_n_ctx(ctx);
+
     llama_batch batch = llama_batch_init(n_kv_max, 0, 1);
 
     // decode in batches of ctx_params.n_batch tokens
@@ -175,7 +123,7 @@ int main(int argc, char ** argv) {
     }
 
     LOG_TEE("\n");
-    LOG_TEE("%s: n_kv_max = %d, n_batch = %d, n_ubatch = %d, flash_attn = %d, is_pp_shared = %d, n_gpu_layers = %d, n_threads = %u, n_threads_batch = %u\n", __func__, n_kv_max, n_batch, n_ubatch, flash_attn, is_pp_shared, n_gpu_layers, ctx_params.n_threads, ctx_params.n_threads_batch);
+    LOG_TEE("%s: n_kv_max = %d, n_batch = %d, n_ubatch = %d, flash_attn = %d, is_pp_shared = %d, n_gpu_layers = %d, n_threads = %u, n_threads_batch = %u\n", __func__, n_kv_max, params.n_batch, params.n_ubatch, params.flash_attn, params.is_pp_shared, params.n_gpu_layers, ctx_params.n_threads, ctx_params.n_threads_batch);
     LOG_TEE("\n");
 
     LOG_TEE("|%6s | %6s | %4s | %6s | %8s | %8s | %8s | %8s | %8s | %8s |\n", "PP",     "TG",     "B",    "N_KV",     "T_PP s",   "S_PP t/s", "T_TG s",   "S_TG t/s", "T s",      "S t/s");
diff --git a/examples/batched/README.md b/examples/batched/README.md
index 5d7303317..ed204c308 100644
--- a/examples/batched/README.md
+++ b/examples/batched/README.md
@@ -3,7 +3,7 @@
 The example demonstrates batched generation from a given prompt
 
 ```bash
-./batched ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is" 4
+./batched -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is" -np 4
 
 ...
 
diff --git a/examples/batched/batched.cpp b/examples/batched/batched.cpp
index 591bc6e57..62d9b144d 100644
--- a/examples/batched/batched.cpp
+++ b/examples/batched/batched.cpp
@@ -7,48 +7,31 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -p \"Hello my name is\" -n 32 -np 4\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [PROMPT] [PARALLEL] [LEN] [NGL]\n" , argv[0]);
-        return 1 ;
+    params.prompt = "Hello my name is";
+    params.n_predict = 32;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
+
     // number of parallel batches
-    int n_parallel = 1;
+    int n_parallel = params.n_parallel;
 
     // total length of the sequences including the prompt
-    int n_len = 32;
-
-    // number of layers to offload to the GPU
-    int n_gpu_layers = 0;
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        params.prompt = argv[2];
-    }
-
-    if (argc >= 4) {
-        n_parallel = std::atoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        n_len = std::atoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        n_gpu_layers = std::atoi(argv[5]);
-    }
-
-    if (params.prompt.empty()) {
-        params.prompt = "Hello my name is";
-    }
-
-    string_process_escapes(params.prompt);
+    int n_predict = 32;
 
     // init LLM
 
@@ -57,9 +40,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    model_params.n_gpu_layers = n_gpu_layers;
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -73,18 +54,14 @@ int main(int argc, char ** argv) {
     std::vector<llama_token> tokens_list;
     tokens_list = ::llama_tokenize(model, params.prompt, true);
 
-    const int n_kv_req = tokens_list.size() + (n_len - tokens_list.size())*n_parallel;
+    const int n_kv_req = tokens_list.size() + (n_predict - tokens_list.size())*n_parallel;
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
-    ctx_params.seed  = 1234;
     ctx_params.n_ctx   = n_kv_req;
-    ctx_params.n_batch = std::max(n_len, n_parallel);
-    ctx_params.n_seq_max       = n_parallel;
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    ctx_params.n_batch = std::max(n_predict, n_parallel);
 
     llama_context * ctx = llama_new_context_with_model(model, ctx_params);
 
@@ -93,9 +70,9 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    const int n_ctx    = llama_n_ctx(ctx);
+    const int n_ctx = llama_n_ctx(ctx);
 
-    LOG_TEE("\n%s: n_len = %d, n_ctx = %d, n_batch = %u, n_parallel = %d, n_kv_req = %d\n", __func__, n_len, n_ctx, ctx_params.n_batch, n_parallel, n_kv_req);
+    LOG_TEE("\n%s: n_predict = %d, n_ctx = %d, n_batch = %u, n_parallel = %d, n_kv_req = %d\n", __func__, n_predict, n_ctx, ctx_params.n_batch, n_parallel, n_kv_req);
 
     // make sure the KV cache is big enough to hold all the prompt and generated tokens
     if (n_kv_req > n_ctx) {
@@ -156,7 +133,7 @@ int main(int argc, char ** argv) {
 
     const auto t_main_start = ggml_time_us();
 
-    while (n_cur <= n_len) {
+    while (n_cur <= n_predict) {
         // prepare the next batch
         llama_batch_clear(batch);
 
@@ -192,7 +169,7 @@ int main(int argc, char ** argv) {
             //const llama_token new_token_id = llama_sample_token_greedy(ctx, &candidates_p);
 
             // is it an end of generation? -> mark the stream as finished
-            if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
+            if (llama_token_is_eog(model, new_token_id) || n_cur == n_predict) {
                 i_batch[i] = -1;
                 LOG_TEE("\n");
                 if (n_parallel > 1) {
diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp
index 004399b5f..244751e00 100644
--- a/examples/embedding/embedding.cpp
+++ b/examples/embedding/embedding.cpp
@@ -63,6 +63,7 @@ int main(int argc, char ** argv) {
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -79,9 +80,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = string_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
diff --git a/examples/eval-callback/eval-callback.cpp b/examples/eval-callback/eval-callback.cpp
index 51d67d6d9..64cd338c2 100644
--- a/examples/eval-callback/eval-callback.cpp
+++ b/examples/eval-callback/eval-callback.cpp
@@ -140,20 +140,18 @@ static bool run(llama_context * ctx, const gpt_params & params) {
 }
 
 int main(int argc, char ** argv) {
-
     callback_data cb_data;
 
     gpt_params params;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
     print_build_info();
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = string_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
diff --git a/examples/gguf-split/tests.sh b/examples/gguf-split/tests.sh
index 7ca6fa7f2..3bc0fa471 100755
--- a/examples/gguf-split/tests.sh
+++ b/examples/gguf-split/tests.sh
@@ -41,7 +41,7 @@ echo PASS
 echo
 
 # 2b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-00001-of-00006.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-00001-of-00006.gguf --n-predict 32
 echo PASS
 echo
 
@@ -51,7 +51,7 @@ echo PASS
 echo
 
 # 3b. Test the merged model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-merge.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-merge.gguf --n-predict 32
 echo PASS
 echo
 
@@ -61,7 +61,7 @@ echo PASS
 echo
 
 # 4b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00007.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-32-tensors-00001-of-00007.gguf --n-predict 32
 echo PASS
 echo
 
@@ -71,7 +71,7 @@ echo
 #echo
 
 # 5b. Test the merged model is loading properly
-#$MAIN --model $WORK_PATH/ggml-model-merge-2.gguf --random-prompt --n-predict 32
+#$MAIN --model $WORK_PATH/ggml-model-merge-2.gguf --n-predict 32
 #echo PASS
 #echo
 
@@ -81,7 +81,7 @@ echo PASS
 echo
 
 # 6b. Test the sharded model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-split-2G-00001-of-00002.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-split-2G-00001-of-00002.gguf --n-predict 32
 echo PASS
 echo
 
diff --git a/examples/gritlm/gritlm.cpp b/examples/gritlm/gritlm.cpp
index 52fd719b3..213515791 100644
--- a/examples/gritlm/gritlm.cpp
+++ b/examples/gritlm/gritlm.cpp
@@ -153,7 +153,9 @@ static std::string gritlm_instruction(const std::string & instruction) {
 
 int main(int argc, char * argv[]) {
     gpt_params params;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/imatrix/imatrix.cpp b/examples/imatrix/imatrix.cpp
index 25a2351cc..e050c09d2 100644
--- a/examples/imatrix/imatrix.cpp
+++ b/examples/imatrix/imatrix.cpp
@@ -533,7 +533,6 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
 }
 
 int main(int argc, char ** argv) {
-
     StatParams sparams;
     std::string prev_result_file;
     std::string combine_files;
@@ -581,7 +580,9 @@ int main(int argc, char ** argv) {
 
     gpt_params params;
     params.n_batch = 512;
-    if (!gpt_params_parse(args.size(), args.data(), params)) {
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -597,9 +598,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = string_random_prompt(rng);
-    }
 
     sparams.dataset = params.prompt_file;
     g_collector.set_parameters(std::move(sparams));
diff --git a/examples/infill/infill.cpp b/examples/infill/infill.cpp
index 539f78184..0e4ec79c6 100644
--- a/examples/infill/infill.cpp
+++ b/examples/infill/infill.cpp
@@ -107,6 +107,7 @@ int main(int argc, char ** argv) {
     g_params = &params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
@@ -139,27 +140,6 @@ int main(int argc, char ** argv) {
         LOG_TEE("%s: warning: minimum context size is 8, using minimum size.\n", __func__);
         params.n_ctx = 8;
     }
-    if (params.instruct) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for instruct mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (params.chatml) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for chatml mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (!params.antiprompt.empty()) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for antiprompt mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
     if (!params.interactive_first && (params.input_prefix.empty() && params.input_suffix.empty())) {
         printf("\n************\n");
         printf("%s: please use '--interactive_first' or specify '--in_prefix' and/or '--in_suffix'\n", __func__);
@@ -167,20 +147,6 @@ int main(int argc, char ** argv) {
 
         return 0;
     }
-    if (params.random_prompt) {
-        printf("\n************\n");
-        printf("%s: please use the 'main' tool for random prompt mode\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
-    if (!params.path_prompt_cache.empty()) {
-        printf("\n************\n");
-        printf("%s: infill does not support prompt caching\n", __func__);
-        printf("************\n\n");
-
-        return 0;
-    }
 
     if (params.rope_freq_base != 0.0) {
         LOG_TEE("%s: warning: changing RoPE frequency base to %g.\n", __func__, params.rope_freq_base);
@@ -207,17 +173,13 @@ int main(int argc, char ** argv) {
 
     llama_model * model;
     llama_context * ctx;
-    llama_context * ctx_guidance = NULL;
+
     g_model = &model;
     g_ctx = &ctx;
 
     // load the model and apply lora adapter, if any
     LOG("%s: load the model and apply lora adapter, if any\n", __func__);
     std::tie(model, ctx) = llama_init_from_gpt_params(params);
-    if (sparams.cfg_scale > 1.f) {
-        struct llama_context_params lparams = llama_context_params_from_gpt_params(params);
-        ctx_guidance = llama_new_context_with_model(model, lparams);
-    }
 
     if (model == NULL) {
         LOG_TEE("%s: error: unable to load model\n", __func__);
@@ -273,25 +235,6 @@ int main(int argc, char ** argv) {
         LOG("embd_inp was considered empty and bos was added: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_inp).c_str());
     }
 
-    // Tokenize negative prompt
-    std::vector<llama_token> guidance_inp;
-    int guidance_offset = 0;
-    int original_prompt_len = 0;
-    if (ctx_guidance) {
-        LOG("cfg_negative_prompt: \"%s\"\n", log_tostr(sparams.cfg_negative_prompt));
-
-        guidance_inp = ::llama_tokenize(ctx_guidance, sparams.cfg_negative_prompt, true);
-        LOG("guidance_inp tokenized: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx_guidance, guidance_inp).c_str());
-
-        std::vector<llama_token> original_inp = ::llama_tokenize(ctx, params.prompt, true);
-        LOG("original_inp tokenized: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, original_inp).c_str());
-
-        original_prompt_len = original_inp.size();
-        guidance_offset = (int)guidance_inp.size() - original_prompt_len;
-        LOG("original_prompt_len: %s", log_tostr(original_prompt_len));
-        LOG("guidance_offset:     %s", log_tostr(guidance_offset));
-    }
-
     if ((int) embd_inp.size() > n_ctx - 4) {
         LOG_TEE("%s: error: prompt is too long (%d tokens, max %d)\n", __func__, (int) embd_inp.size(), n_ctx - 4);
         return 1;
@@ -319,15 +262,6 @@ int main(int argc, char ** argv) {
             LOG_TEE("%6d -> '%s'\n", embd_inp[i], llama_token_to_piece(ctx, embd_inp[i]).c_str());
         }
 
-        if (ctx_guidance) {
-            LOG_TEE("\n");
-            LOG_TEE("%s: negative prompt: '%s'\n", __func__, sparams.cfg_negative_prompt.c_str());
-            LOG_TEE("%s: number of tokens in negative prompt = %zu\n", __func__, guidance_inp.size());
-            for (int i = 0; i < (int) guidance_inp.size(); i++) {
-                LOG_TEE("%6d -> '%s'\n", guidance_inp[i], llama_token_to_piece(ctx, guidance_inp[i]).c_str());
-            }
-        }
-
         if (params.n_keep > 0) {
         LOG_TEE("%s: static prompt based on n_keep: '", __func__);
             for (int i = 0; i < params.n_keep; i++) {
@@ -395,12 +329,11 @@ int main(int argc, char ** argv) {
         is_interacting = params.interactive_first;
     }
 
-    bool input_echo           = true;
+    bool input_echo = true;
 
-    int n_past             = 0;
-    int n_remain           = params.n_predict;
-    int n_consumed         = 0;
-    int n_past_guidance    = 0;
+    int n_past     = 0;
+    int n_remain   = params.n_predict;
+    int n_consumed = 0;
 
     std::vector<int>   input_tokens;  g_input_tokens  = &input_tokens;
     std::vector<int>   output_tokens; g_output_tokens = &output_tokens;
@@ -410,7 +343,6 @@ int main(int argc, char ** argv) {
     console::set_display(console::prompt);
 
     std::vector<llama_token> embd;
-    std::vector<llama_token> embd_guidance;
 
     struct llama_sampling_context * ctx_sampling = llama_sampling_init(sparams);
 
@@ -436,7 +368,7 @@ int main(int argc, char ** argv) {
             // if we run out of context:
             // - take the n_keep first tokens from the original prompt (via n_past)
             // - take half of the last (n_ctx - n_keep) tokens and recompute the logits in batches
-            if (n_past + (int) embd.size() + std::max<int>(0, guidance_offset) > n_ctx) {
+            if (n_past + (int) embd.size() > n_ctx) {
                 if (params.n_predict == -2) {
                     LOG_TEE("\n\n%s: context full and n_predict == -%d => stopping\n", __func__, params.n_predict);
                     break;
@@ -453,11 +385,7 @@ int main(int argc, char ** argv) {
 
                 n_past -= n_discard;
 
-                if (ctx_guidance) {
-                    n_past_guidance -= n_discard;
-                }
-
-                LOG("after swap: n_past = %d, n_past_guidance = %d\n", n_past, n_past_guidance);
+                LOG("after swap: n_past = %d\n", n_past);
 
                 LOG("embd: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd).c_str());
 
@@ -465,45 +393,6 @@ int main(int argc, char ** argv) {
 
             // evaluate tokens in batches
             // embd is typically prepared beforehand to fit within a batch, but not always
-
-            if (ctx_guidance) {
-                int input_size = 0;
-                llama_token * input_buf = NULL;
-
-                if (n_past_guidance < (int) guidance_inp.size()) {
-                    // Guidance context should have the same data with these modifications:
-                    //
-                    // * Replace the initial prompt
-                    // * Shift everything by guidance_offset
-                    embd_guidance = guidance_inp;
-                    if (embd.begin() + original_prompt_len < embd.end()) {
-                        embd_guidance.insert(
-                            embd_guidance.end(),
-                            embd.begin() + original_prompt_len,
-                            embd.end()
-                        );
-                    }
-
-                    input_buf  = embd_guidance.data();
-                    input_size = embd_guidance.size();
-
-                    LOG("guidance context: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, embd_guidance).c_str());
-                } else {
-                    input_buf  = embd.data();
-                    input_size = embd.size();
-                }
-
-                for (int i = 0; i < input_size; i += params.n_batch) {
-                    int n_eval = std::min(input_size - i, params.n_batch);
-                    if (llama_decode(ctx_guidance, llama_batch_get_one(input_buf + i, n_eval, n_past_guidance, 0))) {
-                        LOG_TEE("%s : failed to eval\n", __func__);
-                        return 1;
-                    }
-
-                    n_past_guidance += n_eval;
-                }
-            }
-
             for (int i = 0; i < (int) embd.size(); i += params.n_batch) {
                 int n_eval = (int) embd.size() - i;
                 if (n_eval > params.n_batch) {
@@ -525,11 +414,9 @@ int main(int argc, char ** argv) {
         }
 
         embd.clear();
-        embd_guidance.clear();
 
         if ((int) embd_inp.size() <= n_consumed && !is_interacting) {
-
-            const llama_token id = llama_sampling_sample(ctx_sampling, ctx, ctx_guidance);
+            const llama_token id = llama_sampling_sample(ctx_sampling, ctx, nullptr);
 
             llama_sampling_accept(ctx_sampling, ctx, id, true);
 
@@ -583,7 +470,6 @@ int main(int argc, char ** argv) {
 
         // if not currently processing queued inputs;
         if ((int) embd_inp.size() <= n_consumed) {
-
             // deal with eot token in infill mode
             if ((llama_sampling_last(ctx_sampling) == llama_token_eot(model) || is_interacting) && params.interactive){
                 if (is_interacting && !params.interactive_first) {
@@ -644,7 +530,6 @@ int main(int argc, char ** argv) {
                 embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
                 embd_inp.push_back(llama_token_middle(model));
                 embd.clear();
-                embd_guidance.clear();
                 n_remain = params.n_predict;
                 n_past = 0;
                 n_consumed = 0;
@@ -751,7 +636,6 @@ int main(int argc, char ** argv) {
     llama_print_timings(ctx);
     write_logfile(ctx, params, model, input_tokens, output_ss.str(), output_tokens);
 
-    if (ctx_guidance) { llama_free(ctx_guidance); }
     llama_free(ctx);
     llama_free_model(model);
 
diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index fa7ad1bdb..5c31548a6 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -41,20 +41,6 @@ static std::string join(const std::vector<T> & values, const std::string & delim
     return str.str();
 }
 
-template<class T>
-static std::vector<T> split(const std::string & str, char delim) {
-    std::vector<T> values;
-    std::istringstream str_stream(str);
-    std::string token;
-    while (std::getline(str_stream, token, delim)) {
-        T value;
-        std::istringstream token_stream(token);
-        token_stream >> value;
-        values.push_back(value);
-    }
-    return values;
-}
-
 template<typename T, typename F>
 static std::vector<std::string> transform_to_str(const std::vector<T> & values, F f) {
     std::vector<std::string> str_values;
@@ -322,28 +308,28 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             params.model.insert(params.model.end(), p.begin(), p.end());
         } else if (arg == "-p" || arg == "--n-prompt") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_prompt.insert(params.n_prompt.end(), p.begin(), p.end());
         } else if (arg == "-n" || arg == "--n-gen") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_gen.insert(params.n_gen.end(), p.begin(), p.end());
         } else if (arg == "-pg") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], ',');
+            auto p = string_split<std::string>(argv[i], ',');
             if (p.size() != 2) {
                 invalid_param = true;
                 break;
@@ -354,21 +340,21 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_batch.insert(params.n_batch.end(), p.begin(), p.end());
         } else if (arg == "-ub" || arg == "--ubatch-size") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_ubatch.insert(params.n_ubatch.end(), p.begin(), p.end());
         } else if (arg == "-ctk" || arg == "--cache-type-k") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<ggml_type> types;
             for (const auto & t : p) {
                 ggml_type gt = ggml_type_from_name(t);
@@ -384,7 +370,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<ggml_type> types;
             for (const auto & t : p) {
                 ggml_type gt = ggml_type_from_name(t);
@@ -400,14 +386,14 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_threads.insert(params.n_threads.end(), p.begin(), p.end());
         } else if (arg == "-ngl" || arg == "--n-gpu-layers") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<int>(argv[i], split_delim);
+            auto p = string_split<int>(argv[i], split_delim);
             params.n_gpu_layers.insert(params.n_gpu_layers.end(), p.begin(), p.end());
         } else if (arg == "-rpc" || arg == "--rpc") {
             if (++i >= argc) {
@@ -420,7 +406,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<std::string>(argv[i], split_delim);
+            auto p = string_split<std::string>(argv[i], split_delim);
             std::vector<llama_split_mode> modes;
             for (const auto & m : p) {
                 llama_split_mode mode;
@@ -442,13 +428,13 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            params.main_gpu = split<int>(argv[i], split_delim);
+            params.main_gpu = string_split<int>(argv[i], split_delim);
         } else if (arg == "-nkvo" || arg == "--no-kv-offload") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.no_kv_offload.insert(params.no_kv_offload.end(), p.begin(), p.end());
         } else if (arg == "--numa") {
             if (++i >= argc) {
@@ -466,28 +452,28 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.flash_attn.insert(params.flash_attn.end(), p.begin(), p.end());
         } else if (arg == "-mmp" || arg == "--mmap") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.use_mmap.insert(params.use_mmap.end(), p.begin(), p.end());
         } else if (arg == "-embd" || arg == "--embeddings") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            auto p = split<bool>(argv[i], split_delim);
+            auto p = string_split<bool>(argv[i], split_delim);
             params.embeddings.insert(params.embeddings.end(), p.begin(), p.end());
         } else if (arg == "-ts" || arg == "--tensor-split") {
             if (++i >= argc) {
                 invalid_param = true;
                 break;
             }
-            for (auto ts : split<std::string>(argv[i], split_delim)) {
+            for (auto ts : string_split<std::string>(argv[i], split_delim)) {
                 // split string by ; and /
                 const std::regex regex{R"([;/]+)"};
                 std::sregex_token_iterator it{ts.begin(), ts.end(), regex, -1};
diff --git a/examples/llava/llava-cli.cpp b/examples/llava/llava-cli.cpp
index c974900f2..8c7dd2ae3 100644
--- a/examples/llava/llava-cli.cpp
+++ b/examples/llava/llava-cli.cpp
@@ -112,9 +112,12 @@ struct llava_context {
     struct llama_model * model = NULL;
 };
 
-static void show_additional_info(int /*argc*/, char ** argv) {
-    LOG_TEE("\n example usage: %s -m <llava-v1.5-7b/ggml-model-q5_k.gguf> --mmproj <llava-v1.5-7b/mmproj-model-f16.gguf> --image <path/to/an/image.jpg> --image <path/to/another/image.jpg> [--temp 0.1] [-p \"describe the image in detail.\"]\n", argv[0]);
-    LOG_TEE("  note: a lower temperature value like 0.1 is recommended for better quality.\n");
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\n example usage:\n");
+    LOG_TEE("\n     %s -m <llava-v1.5-7b/ggml-model-q5_k.gguf> --mmproj <llava-v1.5-7b/mmproj-model-f16.gguf> --image <path/to/an/image.jpg> --image <path/to/another/image.jpg> [--temp 0.1] [-p \"describe the image in detail.\"]\n", argv[0]);
+    LOG_TEE("\n note: a lower temperature value like 0.1 is recommended for better quality.\n");
 }
 
 static struct llava_image_embed * load_image(llava_context * ctx_llava, gpt_params * params, const std::string & fname) {
@@ -278,7 +281,7 @@ int main(int argc, char ** argv) {
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
-        show_additional_info(argc, argv);
+        print_usage(argc, argv, params);
         return 1;
     }
 
@@ -290,8 +293,7 @@ int main(int argc, char ** argv) {
 #endif // LOG_DISABLE_LOGS
 
     if (params.mmproj.empty() || (params.image.empty() && !prompt_contains_image(params.prompt))) {
-        gpt_params_print_usage(argc, argv, params);
-        show_additional_info(argc, argv);
+        print_usage(argc, argv, {});
         return 1;
     }
     auto model = llava_init(&params);
diff --git a/examples/lookahead/lookahead.cpp b/examples/lookahead/lookahead.cpp
index 54f060a85..fb20ad93f 100644
--- a/examples/lookahead/lookahead.cpp
+++ b/examples/lookahead/lookahead.cpp
@@ -37,7 +37,8 @@ struct ngram_container {
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/lookup/lookup-create.cpp b/examples/lookup/lookup-create.cpp
index 1c230c966..d713f6f21 100644
--- a/examples/lookup/lookup-create.cpp
+++ b/examples/lookup/lookup-create.cpp
@@ -14,8 +14,10 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
+
     // init llama.cpp
     llama_backend_init();
     llama_numa_init(params.numa);
diff --git a/examples/lookup/lookup-stats.cpp b/examples/lookup/lookup-stats.cpp
index 87ecc0a4f..0b171c872 100644
--- a/examples/lookup/lookup-stats.cpp
+++ b/examples/lookup/lookup-stats.cpp
@@ -16,6 +16,7 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/lookup/lookup.cpp b/examples/lookup/lookup.cpp
index 83dbee91a..80ecd925d 100644
--- a/examples/lookup/lookup.cpp
+++ b/examples/lookup/lookup.cpp
@@ -15,6 +15,7 @@ int main(int argc, char ** argv){
     gpt_params params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/main/README.md b/examples/main/README.md
index ee930f4e7..4eaa68475 100644
--- a/examples/main/README.md
+++ b/examples/main/README.md
@@ -53,13 +53,13 @@ The following command generates "infinite" text from a starting prompt (you can
 #### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./main -m models/7B/ggml-model.bin --ignore-eos -n -1 --random-prompt
+./main -m models/7B/ggml-model.bin --ignore-eos -n -1
 ```
 
 #### Windows:
 
 ```powershell
-main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1 --random-prompt
+main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1
 ```
 
 ## Common Options
@@ -80,7 +80,6 @@ The `main` program provides several ways to interact with the LLaMA models using
 -   `--prompt PROMPT`: Provide a prompt directly as a command-line option.
 -   `--file FNAME`: Provide a file containing a prompt or multiple prompts.
 -   `--interactive-first`: Run the program in interactive mode and wait for input right away. (More on this below.)
--   `--random-prompt`: Start with a randomized prompt.
 
 ## Interaction
 
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index 44949ba86..b97b7b793 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -122,8 +122,10 @@ int main(int argc, char ** argv) {
     g_params = &params;
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
+
     llama_sampling_params & sparams = params.sparams;
 
 #ifndef LOG_DISABLE_LOGS
@@ -180,9 +182,6 @@ int main(int argc, char ** argv) {
     LOG_TEE("%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = string_random_prompt(rng);
-    }
 
     LOG("%s: llama backend init\n", __func__);
     llama_backend_init();
@@ -250,11 +249,8 @@ int main(int argc, char ** argv) {
 
     std::vector<llama_token> embd_inp;
 
-    if (params.interactive_first || params.instruct || params.chatml || !params.prompt.empty() || session_tokens.empty()) {
+    if (params.interactive_first || !params.prompt.empty() || session_tokens.empty()) {
         LOG("tokenize the prompt\n");
-        if (params.chatml) {
-            params.prompt = "<|im_start|>system\n" + params.prompt + "<|im_end|>";
-        }
         embd_inp = ::llama_tokenize(ctx, params.prompt, true, true);
     } else {
         LOG("use session tokens\n");
@@ -332,37 +328,13 @@ int main(int argc, char ** argv) {
     }
 
     // number of tokens to keep when resetting context
-    if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size() || params.instruct || params.chatml) {
+    if (params.n_keep < 0 || params.n_keep > (int) embd_inp.size()) {
         params.n_keep = (int)embd_inp.size();
     } else {
         params.n_keep += add_bos; // always keep the BOS token
     }
 
-    // prefix & suffix for instruct mode
-    const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true,  true);
-    const auto inp_sfx = ::llama_tokenize(ctx, "\n\n### Response:\n\n",    false, true);
-
-    LOG("inp_pfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, inp_pfx).c_str());
-    LOG("inp_sfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, inp_sfx).c_str());
-
-    // chatml prefix & suffix
-    const auto cml_pfx = ::llama_tokenize(ctx, "\n<|im_start|>user\n", true, true);
-    const auto cml_sfx = ::llama_tokenize(ctx, "<|im_end|>\n<|im_start|>assistant\n", false, true);
-
-    LOG("cml_pfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, cml_pfx).c_str());
-    LOG("cml_sfx: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, cml_sfx).c_str());
-
-    // in instruct mode, we inject a prefix and a suffix to each input by the user
-    if (params.instruct) {
-        params.interactive_first = true;
-        params.antiprompt.emplace_back("### Instruction:\n\n");
-    }
-    // similar for chatml mode
-    else if (params.chatml) {
-        params.interactive_first = true;
-        params.antiprompt.emplace_back("<|im_start|>user\n");
-    }
-    else if (params.conversation) {
+    if (params.conversation) {
         params.interactive_first = true;
     }
 
@@ -823,15 +795,13 @@ int main(int argc, char ** argv) {
 
                     is_interacting = true;
                     printf("\n");
-                } else if (params.instruct || params.chatml) {
-                    is_interacting = true;
                 }
             }
 
             if (n_past > 0 && is_interacting) {
                 LOG("waiting for user input\n");
 
-                if (params.conversation || params.instruct || params.chatml) {
+                if (params.conversation) {
                     printf("\n> ");
                 }
 
@@ -874,24 +844,12 @@ int main(int argc, char ** argv) {
 
                     const size_t original_size = embd_inp.size();
 
-                    // instruct mode: insert instruction prefix
-                    if (params.instruct && !is_antiprompt) {
-                        LOG("inserting instruction prefix\n");
-                        n_consumed = embd_inp.size();
-                        embd_inp.insert(embd_inp.end(), inp_pfx.begin(), inp_pfx.end());
-                    }
-                    // chatml mode: insert user chat prefix
-                    if (params.chatml && !is_antiprompt) {
-                        LOG("inserting chatml prefix\n");
-                        n_consumed = embd_inp.size();
-                        embd_inp.insert(embd_inp.end(), cml_pfx.begin(), cml_pfx.end());
-                    }
                     if (params.escape) {
                         string_process_escapes(buffer);
                     }
 
                     const auto line_pfx = ::llama_tokenize(ctx, params.input_prefix, false, true);
-                    const auto line_inp = ::llama_tokenize(ctx, buffer,              false, params.interactive_specials);
+                    const auto line_inp = ::llama_tokenize(ctx, buffer,              false, false);
                     const auto line_sfx = ::llama_tokenize(ctx, params.input_suffix, false, true);
 
                     LOG("input tokens: %s\n", LOG_TOKENS_TOSTR_PRETTY(ctx, line_inp).c_str());
@@ -900,17 +858,6 @@ int main(int argc, char ** argv) {
                     embd_inp.insert(embd_inp.end(), line_inp.begin(), line_inp.end());
                     embd_inp.insert(embd_inp.end(), line_sfx.begin(), line_sfx.end());
 
-                    // instruct mode: insert response suffix
-                    if (params.instruct) {
-                        LOG("inserting instruction suffix\n");
-                        embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
-                    }
-                    // chatml mode: insert assistant chat suffix
-                    if (params.chatml) {
-                        LOG("inserting chatml suffix\n");
-                        embd_inp.insert(embd_inp.end(), cml_sfx.begin(), cml_sfx.end());
-                    }
-
                     for (size_t i = original_size; i < embd_inp.size(); ++i) {
                         const llama_token token = embd_inp[i];
                         output_tokens.push_back(token);
@@ -935,7 +882,7 @@ int main(int argc, char ** argv) {
         }
 
         // end of generation
-        if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !(params.instruct || params.interactive || params.chatml)) {
+        if (!embd.empty() && llama_token_is_eog(model, embd.back()) && !(params.interactive)) {
             LOG_TEE(" [end of text]\n");
             break;
         }
diff --git a/examples/parallel/parallel.cpp b/examples/parallel/parallel.cpp
index c731abb72..7faeaec97 100644
--- a/examples/parallel/parallel.cpp
+++ b/examples/parallel/parallel.cpp
@@ -100,7 +100,8 @@ int main(int argc, char ** argv) {
 
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/passkey/README.md b/examples/passkey/README.md
index 4a22bb559..9e7a119ba 100644
--- a/examples/passkey/README.md
+++ b/examples/passkey/README.md
@@ -8,5 +8,5 @@ See the following PRs for more info:
 ### Usage
 
 ```bash
-make -j && ./passkey ./models/llama-7b-v2/ggml-model-f16.gguf 250
+make -j && ./passkey -m ./models/llama-7b-v2/ggml-model-f16.gguf --junk 250
 ```
diff --git a/examples/passkey/passkey.cpp b/examples/passkey/passkey.cpp
index f2ef9ca10..d03215cd1 100644
--- a/examples/passkey/passkey.cpp
+++ b/examples/passkey/passkey.cpp
@@ -6,46 +6,32 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf --junk 250 --pos 90 --keep 32 --grp-attn-n 2 [--seed 1234]\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH N_JUNK N_GRP I_POS SEED\n" , argv[0]);
-        return 1 ;
+    params.n_junk = 250;
+    params.n_keep = 32;
+    params.i_pos  = -1;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
-    int seed = -1;
+    srand(params.seed == LLAMA_DEFAULT_SEED ? time(NULL) : params.seed);
 
-    int n_junk = 250; // number of times to repeat the junk text
-    int n_keep = 32;  // number of tokens in the prompt prefix
-    int n_grp  = 1;   // if more than 1 - perform LongLM SelfExtend
-    int i_pos  = -1;  // position of the passkey in the junk text
-
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        n_junk = std::stoi(argv[2]);
-    }
-
-    if (argc >= 4) {
-        n_grp = std::stoi(argv[3]);
-    }
-
-    if (argc >= 5) {
-        i_pos = std::stoi(argv[4]);
-    }
-
-    if (argc >= 6) {
-        seed = std::stoi(argv[5]);
-    }
-
-    if (seed == -1) {
-        seed = time(NULL);
-    }
-
-    srand(seed);
+    int n_junk = params.n_junk;
+    int n_keep = params.n_keep;
+    int n_grp  = params.grp_attn_n;
+    int i_pos  = params.i_pos;
 
     if (i_pos == -1) {
         i_pos = rand() % n_junk;
@@ -76,9 +62,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    model_params.n_gpu_layers = 99; // offload all layers to the GPU
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -89,13 +73,9 @@ int main(int argc, char ** argv) {
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
-    ctx_params.seed    = seed;
-    ctx_params.n_ctx   = llama_n_ctx_train(model)*n_grp + n_keep;
-    ctx_params.n_batch = 512;
-    ctx_params.n_threads       = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    ctx_params.n_ctx = llama_n_ctx_train(model)*n_grp + n_keep;
 
     GGML_ASSERT(ctx_params.n_batch % n_grp == 0 && "n_batch must be divisible by n_grp");
 
@@ -135,7 +115,7 @@ int main(int argc, char ** argv) {
     LOG_TEE("prompt tokens: %d\n", n_tokens_all);
     //LOG_TEE("prompt: %s\n", params.prompt.c_str());
 
-    llama_batch batch = llama_batch_init(512, 0, 1);
+    llama_batch batch = llama_batch_init(params.n_batch, 0, 1);
 
     int n_past = 0;
 
diff --git a/examples/perplexity/perplexity.cpp b/examples/perplexity/perplexity.cpp
index 30e5e282e..0bd78c21a 100644
--- a/examples/perplexity/perplexity.cpp
+++ b/examples/perplexity/perplexity.cpp
@@ -1032,7 +1032,7 @@ struct winogrande_entry {
     std::vector<llama_token> seq_tokens[2];
 };
 
-static std::vector<winogrande_entry> load_winogrande_from_csv(const std::string& prompt) {
+static std::vector<winogrande_entry> load_winogrande_from_csv(const std::string & prompt) {
     std::vector<winogrande_entry> result;
     std::istringstream in(prompt);
     std::string line;
@@ -1964,12 +1964,14 @@ static void kl_divergence(llama_context * ctx, const gpt_params & params) {
 int main(int argc, char ** argv) {
     gpt_params params;
 
+    params.n_ctx = 512;
+    params.logits_all = true;
+
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
-    params.logits_all = true;
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {
@@ -2006,9 +2008,6 @@ int main(int argc, char ** argv) {
     fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
 
     std::mt19937 rng(params.seed);
-    if (params.random_prompt) {
-        params.prompt = string_random_prompt(rng);
-    }
 
     llama_backend_init();
     llama_numa_init(params.numa);
@@ -2027,6 +2026,7 @@ int main(int argc, char ** argv) {
     }
 
     const int n_ctx_train = llama_n_ctx_train(model);
+
     if (params.n_ctx > n_ctx_train) {
         fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
                 __func__, n_ctx_train, params.n_ctx);
diff --git a/examples/quantize/tests.sh b/examples/quantize/tests.sh
index a3ca74c68..38e28ffc3 100644
--- a/examples/quantize/tests.sh
+++ b/examples/quantize/tests.sh
@@ -47,7 +47,7 @@ echo PASS
 echo
 
 # 3a. Test the requanted model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-requant-00001-of-00006.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-requant-00001-of-00006.gguf --n-predict 32
 echo PASS
 echo
 
@@ -57,7 +57,7 @@ echo PASS
 echo
 
 # 4b. Test the requanted model is loading properly
-$MAIN --model $WORK_PATH/ggml-model-requant-merge.gguf --random-prompt --n-predict 32
+$MAIN --model $WORK_PATH/ggml-model-requant-merge.gguf --n-predict 32
 echo PASS
 echo
 
diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp
index 4e7530706..55b7b2f70 100644
--- a/examples/retrieval/retrieval.cpp
+++ b/examples/retrieval/retrieval.cpp
@@ -4,72 +4,12 @@
 #include <algorithm>
 #include <fstream>
 
-struct retrieval_params {
-    std::vector<std::string> context_files; // context files to embed
-    int32_t chunk_size            = 64;     // chunk size for context embedding
-    std::string chunk_separator   = "\n";   // chunk separator for context embedding
-};
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
 
-static void retrieval_params_print_usage(int argc, char ** argv, gpt_params & gpt_params, retrieval_params & params) {
-    gpt_params_print_usage(argc, argv, gpt_params);
-    printf("retrieval options:\n");
-    printf("  --context-file FNAME  file containing context to embed.\n");
-    printf("                        specify multiple files by providing --context-file option multiple times.\n");
-    printf("  --chunk-size N        minimum length of embedded text chunk (default:%d)\n", params.chunk_size);
-    printf("  --chunk-separator STRING\n");
-    printf("                        string to separate chunks (default: \"\\n\")\n");
-    printf("\n");
-}
-
-static void retrieval_params_parse(int argc, char ** argv, gpt_params & gpt_params, retrieval_params & retrieval_params) {
-    int i = 1;
-    std::string arg;
-    while (i < argc) {
-        arg = argv[i];
-        bool invalid_gpt_param = false;
-        if(gpt_params_find_arg(argc, argv, argv[i], gpt_params, i, invalid_gpt_param)) {
-            if (invalid_gpt_param) {
-                fprintf(stderr, "error: invalid argument: %s\n", arg.c_str());
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            // option was parsed by gpt_params_find_arg
-        } else if (arg == "--context-file") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --context-file\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            std::ifstream file(argv[i]);
-            if (!file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            // store the external file name in params
-            retrieval_params.context_files.push_back(argv[i]);
-        } else if (arg == "--chunk-size") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --chunk-size\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            retrieval_params.chunk_size = std::stoi(argv[i]);
-        } else if (arg == "--chunk-separator") {
-            if (++i >= argc) {
-                fprintf(stderr, "error: missing argument for --chunk-separator\n");
-                retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-                exit(1);
-            }
-            retrieval_params.chunk_separator = argv[i];
-        } else {
-            // unknown argument
-            fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
-            retrieval_params_print_usage(argc, argv, gpt_params, retrieval_params);
-            exit(1);
-        }
-        i++;
-    }
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator .\n", argv[0]);
+    LOG_TEE("\n");
 }
 
 struct chunk {
@@ -171,33 +111,35 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu
 
 int main(int argc, char ** argv) {
     gpt_params params;
-    retrieval_params retrieval_params;
 
-    retrieval_params_parse(argc, argv, params, retrieval_params);
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
+    }
 
     // For BERT models, batch size must be equal to ubatch size
     params.n_ubatch = params.n_batch;
+    params.embedding = true;
 
-    if (retrieval_params.chunk_size <= 0) {
+    if (params.chunk_size <= 0) {
         fprintf(stderr, "chunk_size must be positive\n");
         return 1;
     }
-    if (retrieval_params.context_files.empty()) {
+    if (params.context_files.empty()) {
         fprintf(stderr, "context_files must be specified\n");
         return 1;
     }
-    params.embedding = true;
 
     print_build_info();
 
     printf("processing files:\n");
-    for (auto & context_file : retrieval_params.context_files) {
+    for (auto & context_file : params.context_files) {
         printf("%s\n", context_file.c_str());
     }
 
     std::vector<chunk> chunks;
-    for (auto & context_file : retrieval_params.context_files) {
-        std::vector<chunk> file_chunk = chunk_file(context_file, retrieval_params.chunk_size, retrieval_params.chunk_separator);
+    for (auto & context_file : params.context_files) {
+        std::vector<chunk> file_chunk = chunk_file(context_file, params.chunk_size, params.chunk_separator);
         chunks.insert(chunks.end(), file_chunk.begin(), file_chunk.end());
     }
     printf("Number of chunks: %ld\n", chunks.size());
@@ -242,7 +184,7 @@ int main(int argc, char ** argv) {
             return 1;
         }
         // add eos if not present
-        if (inp.empty() || inp.back() != llama_token_eos(model)) {
+        if (llama_token_eos(model) >= 0 && (inp.empty() || inp.back() != llama_token_eos(model))) {
             inp.push_back(llama_token_eos(model));
         }
         chunk.tokens = inp;
diff --git a/examples/save-load-state/save-load-state.cpp b/examples/save-load-state/save-load-state.cpp
index c3b766882..00c2277ac 100644
--- a/examples/save-load-state/save-load-state.cpp
+++ b/examples/save-load-state/save-load-state.cpp
@@ -11,6 +11,7 @@ int main(int argc, char ** argv) {
     params.prompt = "The quick brown fox";
 
     if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index fc6d90848..d581cad95 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -123,29 +123,6 @@ struct slot_params {
     json input_suffix;
 };
 
-struct server_params {
-    int32_t port           = 8080;
-    int32_t read_timeout   = 600;
-    int32_t write_timeout  = 600;
-    int32_t n_threads_http = -1;
-
-    std::string hostname      = "127.0.0.1";
-    std::string public_path   = "";
-    std::string chat_template = "";
-    std::string system_prompt = "";
-
-    std::vector<std::string> api_keys;
-
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    std::string ssl_key_file = "";
-    std::string ssl_cert_file = "";
-#endif
-
-    bool slots_endpoint   = true;
-    bool metrics_endpoint = false;
-    std::string slot_save_path;
-};
-
 struct server_slot {
     int id;
     int id_task = -1;
@@ -1261,7 +1238,7 @@ struct server_context {
     }
 
     json get_formated_generation(const server_slot & slot) const {
-        const auto eos_bias = slot.sparams.logit_bias.find(llama_token_eos(model));
+        const auto eos_bias   =             slot.sparams.logit_bias.find(llama_token_eos(model));
         const bool ignore_eos = eos_bias != slot.sparams.logit_bias.end() && eos_bias->second < 0.0f && std::isinf(eos_bias->second);
 
         std::vector<std::string> samplers_sequence;
@@ -2334,561 +2311,6 @@ struct server_context {
     }
 };
 
-static void server_print_usage(const char * argv0, const gpt_params & params, const server_params & sparams) {
-    printf("usage: %s [options]\n", argv0);
-    printf("\n");
-    printf("options:\n");
-    printf("  -h, --help                show this help message and exit\n");
-    printf("  -v, --verbose             verbose output (default: %s)\n", server_verbose ? "enabled" : "disabled");
-    printf("  -t N, --threads N         number of threads to use during computation (default: %d)\n", params.n_threads);
-    printf("  -tb N, --threads-batch N  number of threads to use during batch and prompt processing (default: same as --threads)\n");
-    printf("  --threads-http N          number of threads in the http server pool to process requests (default: max(hardware concurrency - 1, --parallel N + 2))\n");
-    printf("  -c N, --ctx-size N        size of the prompt context (default: %d)\n", params.n_ctx);
-    printf("  --rope-scaling {none,linear,yarn}\n");
-    printf("                            RoPE frequency scaling method, defaults to linear unless specified by the model\n");
-    printf("  --rope-freq-base N        RoPE base frequency (default: loaded from model)\n");
-    printf("  --rope-freq-scale N       RoPE frequency scaling factor, expands context by a factor of 1/N\n");
-    printf("  --yarn-ext-factor N       YaRN: extrapolation mix factor (default: 1.0, 0.0 = full interpolation)\n");
-    printf("  --yarn-attn-factor N      YaRN: scale sqrt(t) or attention magnitude (default: 1.0)\n");
-    printf("  --yarn-beta-slow N        YaRN: high correction dim or alpha (default: %.1f)\n", params.yarn_beta_slow);
-    printf("  --yarn-beta-fast N        YaRN: low correction dim or beta (default: %.1f)\n", params.yarn_beta_fast);
-    printf("  --pooling {none,mean,cls} pooling type for embeddings, use model default if unspecified\n");
-    printf("  -dt N, --defrag-thold N\n");
-    printf("                            KV cache defragmentation threshold (default: %.1f, < 0 - disabled)\n", params.defrag_thold);
-    printf("  -b N, --batch-size N      logical maximum batch size (default: %d)\n", params.n_batch);
-    printf("  -ub N, --ubatch-size N    physical maximum batch size (default: %d)\n", params.n_ubatch);
-    if (llama_supports_mlock()) {
-        printf("  --mlock                   force system to keep model in RAM rather than swapping or compressing\n");
-    }
-    if (llama_supports_mmap()) {
-        printf("  --no-mmap                 do not memory-map model (slower load but may reduce pageouts if not using mlock)\n");
-    }
-    printf("  --numa TYPE               attempt optimizations that help on some NUMA systems\n");
-    printf("                              - distribute: spread execution evenly over all nodes\n");
-    printf("                              - isolate: only spawn threads on CPUs on the node that execution started on\n");
-    printf("                              - numactl: use the CPU map provided my numactl\n");
-    if (llama_supports_gpu_offload()) {
-        printf("  -ngl N, --n-gpu-layers N\n");
-        printf("                            number of layers to store in VRAM\n");
-        printf("  -sm SPLIT_MODE, --split-mode SPLIT_MODE\n");
-        printf("                            how to split the model across multiple GPUs, one of:\n");
-        printf("                              - none: use one GPU only\n");
-        printf("                              - layer (default): split layers and KV across GPUs\n");
-        printf("                              - row: split rows across GPUs\n");
-        printf("  -ts SPLIT --tensor-split SPLIT\n");
-        printf("                            fraction of the model to offload to each GPU, comma-separated list of proportions, e.g. 3,1\n");
-        printf("  -mg i, --main-gpu i       the GPU to use for the model (with split-mode = none),\n");
-        printf("                            or for intermediate results and KV (with split-mode = row)\n");
-        printf("  -nkvo, --no-kv-offload\n");
-        printf("                            disable KV offload\n");
-    }
-    printf("  -m FNAME, --model FNAME\n");
-    printf("                            model path (default: models/$filename with filename from --hf-file or --model-url if set, otherwise %s)\n", DEFAULT_MODEL_PATH);
-    printf("  -mu MODEL_URL, --model-url MODEL_URL\n");
-    printf("                            model download url (default: unused)\n");
-    printf("  -hfr REPO, --hf-repo REPO\n");
-    printf("                            Hugging Face model repository (default: unused)\n");
-    printf("  -hff FILE, --hf-file FILE\n");
-    printf("                            Hugging Face model file (default: unused)\n");
-    printf("  -a ALIAS, --alias ALIAS\n");
-    printf("                            set an alias for the model, will be added as `model` field in completion response\n");
-    printf("  --lora FNAME              apply LoRA adapter (implies --no-mmap)\n");
-    printf("  --lora-base FNAME         optional model to use as a base for the layers modified by the LoRA adapter\n");
-    printf("  --host                    ip address to listen (default  (default: %s)\n", sparams.hostname.c_str());
-    printf("  --port PORT               port to listen (default  (default: %d)\n", sparams.port);
-    printf("  --rpc SERVERS             comma separated list of RPC servers\n");
-    printf("  --path PUBLIC_PATH        path from which to serve static files (default: disabled)\n");
-    printf("  --api-key API_KEY         optional api key to enhance server security. If set, requests must include this key for access.\n");
-    printf("  --api-key-file FNAME      path to file containing api keys delimited by new lines. If set, requests must include one of the keys for access.\n");
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    printf("  --ssl-key-file FNAME      path to file a PEM-encoded SSL private key\n");
-    printf("  --ssl-cert-file FNAME     path to file a PEM-encoded SSL certificate\n");
-#endif
-    printf("  -to N, --timeout N        server read/write timeout in seconds (default: %d)\n", sparams.read_timeout);
-    printf("  --embeddings              enable embedding vector output (default: %s)\n", params.embedding ? "enabled" : "disabled");
-    printf("  -np N, --parallel N       number of slots for process requests (default: %d)\n", params.n_parallel);
-    printf("  -cb, --cont-batching      enable continuous batching (a.k.a dynamic batching) (default: enabled)\n");
-    printf("  -fa, --flash-attn         enable Flash Attention (default: %s)\n", params.flash_attn ? "enabled" : "disabled");
-    printf("  -spf FNAME, --system-prompt-file FNAME\n");
-    printf("                            set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications.\n");
-    printf("  -ctk TYPE, --cache-type-k TYPE\n");
-    printf("                            KV cache data type for K (default: f16)\n");
-    printf("  -ctv TYPE, --cache-type-v TYPE\n");
-    printf("                            KV cache data type for V (default: f16)\n");
-    printf("  --log-format              log output format: json or text (default: json)\n");
-    printf("  --log-disable             disables logging to a file.\n");
-    printf("  --slots-endpoint-disable  disables slots monitoring endpoint.\n");
-    printf("  --metrics                 enable prometheus compatible metrics endpoint (default: %s).\n", sparams.metrics_endpoint ? "enabled" : "disabled");
-    printf("  --slot-save-path PATH     path to save slot kv cache (default: disabled)\n");
-    printf("\n");
-    printf("  -n, --n-predict           maximum tokens to predict (default: %d)\n", params.n_predict);
-    printf("  --override-kv KEY=TYPE:VALUE\n");
-    printf("                            advanced option to override model metadata by key. may be specified multiple times.\n");
-    printf("                            types: int, float, bool, str. example: --override-kv tokenizer.ggml.add_bos_token=bool:false\n");
-    printf("  -gan N, --grp-attn-n N    set the group attention factor to extend context size through self-extend(default: 1=disabled), used together with group attention width `--grp-attn-w`\n");
-    printf("  -gaw N, --grp-attn-w N    set the group attention width to extend context size through self-extend(default: 512), used together with group attention factor `--grp-attn-n`\n");
-    printf("  --chat-template JINJA_TEMPLATE\n");
-    printf("                            set custom jinja chat template (default: template taken from model's metadata)\n");
-    printf("                            only commonly used templates are accepted:\n");
-    printf("                            https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template\n");
-    printf("\n");
-}
-
-static void server_params_parse(int argc, char ** argv, server_params & sparams, gpt_params & params) {
-    gpt_params    default_params;
-    server_params default_sparams;
-
-    std::string arg;
-    bool invalid_param = false;
-
-    for (int i = 1; i < argc; i++) {
-        arg = argv[i];
-        if (arg == "--port") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.port = std::stoi(argv[i]);
-        } else if (arg == "--rpc") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.rpc_servers = argv[i];
-        } else if (arg == "--host") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.hostname = argv[i];
-        } else if (arg == "--path") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.public_path = argv[i];
-        } else if (arg == "--api-key") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.api_keys.push_back(argv[i]);
-        } else if (arg == "--api-key-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::ifstream key_file(argv[i]);
-            if (!key_file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-            std::string key;
-            while (std::getline(key_file, key)) {
-               if (key.size() > 0) {
-                   sparams.api_keys.push_back(key);
-               }
-            }
-            key_file.close();
-
-        }
-#ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-        else if (arg == "--ssl-key-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.ssl_key_file = argv[i];
-        } else if (arg == "--ssl-cert-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.ssl_cert_file = argv[i];
-        }
-#endif
-        else if (arg == "--timeout" || arg == "-to") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.read_timeout = std::stoi(argv[i]);
-            sparams.write_timeout = std::stoi(argv[i]);
-        } else if (arg == "-m" || arg == "--model") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model = argv[i];
-        } else if (arg == "-mu" || arg == "--model-url") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model_url = argv[i];
-        } else if (arg == "-hfr" || arg == "--hf-repo") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.hf_repo = argv[i];
-        } else if (arg == "-hff" || arg == "--hf-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.hf_file = argv[i];
-        } else if (arg == "-a" || arg == "--alias") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.model_alias = argv[i];
-        } else if (arg == "-h" || arg == "--help") {
-            server_print_usage(argv[0], default_params, default_sparams);
-            exit(0);
-        } else if (arg == "-c" || arg == "--ctx-size" || arg == "--ctx_size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_ctx = std::stoi(argv[i]);
-        } else if (arg == "--rope-scaling") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string value(argv[i]);
-            /**/ if (value == "none")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_NONE; }
-            else if (value == "linear") { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_LINEAR; }
-            else if (value == "yarn")   { params.rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_YARN; }
-            else { invalid_param = true; break; }
-        } else if (arg == "--rope-freq-base") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.rope_freq_base = std::stof(argv[i]);
-        } else if (arg == "--rope-freq-scale") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.rope_freq_scale = std::stof(argv[i]);
-        } else if (arg == "--yarn-ext-factor") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_ext_factor = std::stof(argv[i]);
-        }
-        else if (arg == "--yarn-attn-factor") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_attn_factor = std::stof(argv[i]);
-        } else if (arg == "--yarn-beta-fast") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_beta_fast = std::stof(argv[i]);
-        } else if (arg == "--yarn-beta-slow") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.yarn_beta_slow = std::stof(argv[i]);
-        } else if (arg == "--pooling") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string value(argv[i]);
-            /**/ if (value == "none") { params.pooling_type = LLAMA_POOLING_TYPE_NONE; }
-            else if (value == "mean") { params.pooling_type = LLAMA_POOLING_TYPE_MEAN; }
-            else if (value == "cls")  { params.pooling_type = LLAMA_POOLING_TYPE_CLS; }
-            else { invalid_param = true; break; }
-        } else if (arg == "--defrag-thold" || arg == "-dt") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.defrag_thold = std::stof(argv[i]);
-        } else if (arg == "--threads" || arg == "-t") {
-            if (++i >= argc)
-            {
-                invalid_param = true;
-                break;
-            }
-            params.n_threads = std::stoi(argv[i]);
-        } else if (arg == "--grp-attn-n" || arg == "-gan") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-
-            params.grp_attn_n = std::stoi(argv[i]);
-        } else if (arg == "--grp-attn-w" || arg == "-gaw") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-
-            params.grp_attn_w = std::stoi(argv[i]);
-        } else if (arg == "--threads-batch" || arg == "-tb") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_threads_batch = std::stoi(argv[i]);
-        } else if (arg == "--threads-http") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.n_threads_http = std::stoi(argv[i]);
-        } else if (arg == "-b" || arg == "--batch-size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_batch = std::stoi(argv[i]);
-        } else if (arg == "-ub" || arg == "--ubatch-size") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_ubatch = std::stoi(argv[i]);
-        } else if (arg == "--gpu-layers" || arg == "-ngl" || arg == "--n-gpu-layers") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (llama_supports_gpu_offload()) {
-                params.n_gpu_layers = std::stoi(argv[i]);
-            } else {
-                LOG_WARNING(
-                    "Not compiled with GPU offload support, --n-gpu-layers option will be ignored. "
-                    "See main README.md for information on enabling GPU BLAS support",
-                    {{"n_gpu_layers", params.n_gpu_layers}});
-            }
-        } else if (arg == "-nkvo" || arg == "--no-kv-offload") {
-            params.no_kv_offload = true;
-        } else if (arg == "--split-mode" || arg == "-sm") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::string arg_next = argv[i];
-            if (arg_next == "none") {
-                params.split_mode = LLAMA_SPLIT_MODE_NONE;
-            } else if (arg_next == "layer") {
-                params.split_mode = LLAMA_SPLIT_MODE_LAYER;
-            } else if (arg_next == "row") {
-                params.split_mode = LLAMA_SPLIT_MODE_ROW;
-            } else {
-                invalid_param = true;
-                break;
-            }
-#ifndef GGML_USE_CUDA
-            fprintf(stderr, "warning: llama.cpp was compiled without CUDA. Setting the split mode has no effect.\n");
-#endif // GGML_USE_CUDA
-        } else if (arg == "--tensor-split" || arg == "-ts") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL)
-            std::string arg_next = argv[i];
-
-            // split string by , and /
-            const std::regex regex{R"([,/]+)"};
-            std::sregex_token_iterator it{arg_next.begin(), arg_next.end(), regex, -1};
-            std::vector<std::string> split_arg{it, {}};
-            GGML_ASSERT(split_arg.size() <= llama_max_devices());
-
-            for (size_t i_device = 0; i_device < llama_max_devices(); ++i_device) {
-                if (i_device < split_arg.size()) {
-                    params.tensor_split[i_device] = std::stof(split_arg[i_device]);
-                } else {
-                    params.tensor_split[i_device] = 0.0f;
-                }
-            }
-#else
-            LOG_WARNING("llama.cpp was compiled without CUDA. It is not possible to set a tensor split.\n", {});
-#endif // GGML_USE_CUDA
-        } else if (arg == "--main-gpu" || arg == "-mg") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-#if defined(GGML_USE_CUDA) || defined(GGML_USE_SYCL)
-            params.main_gpu = std::stoi(argv[i]);
-#else
-            LOG_WARNING("llama.cpp was compiled without CUDA. It is not possible to set a main GPU.", {});
-#endif
-        } else if (arg == "--lora") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_adapter.emplace_back(argv[i], 1.0f);
-            params.use_mmap = false;
-        } else if (arg == "--lora-scaled") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            const char * lora_adapter = argv[i];
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_adapter.emplace_back(lora_adapter, std::stof(argv[i]));
-            params.use_mmap = false;
-        } else if (arg == "--lora-base") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.lora_base = argv[i];
-        } else if (arg == "-v" || arg == "--verbose") {
-#if SERVER_VERBOSE != 1
-            LOG_WARNING("server.cpp is not built with verbose logging.", {});
-#else
-            server_verbose = true;
-#endif
-        } else if (arg == "--mlock") {
-            params.use_mlock = true;
-        } else if (arg == "--no-mmap") {
-            params.use_mmap = false;
-        } else if (arg == "--numa") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            } else {
-                std::string value(argv[i]);
-                /**/ if (value == "distribute" || value == "" ) { params.numa = GGML_NUMA_STRATEGY_DISTRIBUTE; }
-                else if (value == "isolate")                    { params.numa = GGML_NUMA_STRATEGY_ISOLATE; }
-                else if (value == "numactl")                    { params.numa = GGML_NUMA_STRATEGY_NUMACTL; }
-                else { invalid_param = true; break; }
-            }
-        } else if (arg == "--embedding" || arg == "--embeddings") {
-            params.embedding = true;
-        } else if (arg == "-cb" || arg == "--cont-batching") {
-            params.cont_batching = true;
-        } else if (arg == "-fa" || arg == "--flash-attn") {
-            params.flash_attn = true;
-        } else if (arg == "-np" || arg == "--parallel") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_parallel = std::stoi(argv[i]);
-        } else if (arg == "-n" || arg == "--n-predict") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            params.n_predict = std::stoi(argv[i]);
-        } else if (arg == "-spf" || arg == "--system-prompt-file") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            std::ifstream file(argv[i]);
-            if (!file) {
-                fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-            std::string system_prompt;
-            std::copy(
-                std::istreambuf_iterator<char>(file),
-                std::istreambuf_iterator<char>(),
-                std::back_inserter(system_prompt)
-            );
-            sparams.system_prompt = system_prompt;
-        } else if (arg == "-ctk" || arg == "--cache-type-k") {
-            params.cache_type_k = argv[++i];
-        } else if (arg == "-ctv" || arg == "--cache-type-v") {
-            params.cache_type_v = argv[++i];
-        } else if (arg == "--log-format") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (std::strcmp(argv[i], "json") == 0) {
-                server_log_json = true;
-            } else if (std::strcmp(argv[i], "text") == 0) {
-                server_log_json = false;
-            } else {
-                invalid_param = true;
-                break;
-            }
-        } else if (arg == "--log-disable") {
-            log_set_target(stdout);
-            LOG_INFO("logging to file is disabled.", {});
-        } else if (arg == "--slots-endpoint-disable") {
-            sparams.slots_endpoint = false;
-        } else if (arg == "--metrics") {
-            sparams.metrics_endpoint = true;
-        } else if (arg == "--slot-save-path") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            sparams.slot_save_path = argv[i];
-            // if doesn't end with DIRECTORY_SEPARATOR, add it
-            if (!sparams.slot_save_path.empty() && sparams.slot_save_path[sparams.slot_save_path.size() - 1] != DIRECTORY_SEPARATOR) {
-                sparams.slot_save_path += DIRECTORY_SEPARATOR;
-            }
-        } else if (arg == "--chat-template") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (!verify_custom_template(argv[i])) {
-                fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
-                fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
-                invalid_param = true;
-                break;
-            }
-            sparams.chat_template = argv[i];
-        } else if (arg == "--override-kv") {
-            if (++i >= argc) {
-                invalid_param = true;
-                break;
-            }
-            if (!string_parse_kv_override(argv[i], params.kv_overrides)) {
-                fprintf(stderr, "error: Invalid type for KV override: %s\n", argv[i]);
-                invalid_param = true;
-                break;
-            }
-        } else {
-            fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
-            server_print_usage(argv[0], default_params, default_sparams);
-            exit(1);
-        }
-    }
-
-    gpt_params_handle_model_default(params);
-
-    if (!params.kv_overrides.empty()) {
-        params.kv_overrides.emplace_back();
-        params.kv_overrides.back().key[0] = 0;
-    }
-
-    if (invalid_param) {
-        fprintf(stderr, "error: invalid parameter for argument: %s\n", arg.c_str());
-        server_print_usage(argv[0], default_params, default_sparams);
-        exit(1);
-    }
-}
-
 static void log_server_request(const httplib::Request & req, const httplib::Response & res) {
     // skip GH copilot requests when using default port
     if (req.path == "/v1/health" || req.path == "/v1/completions") {
@@ -2929,16 +2351,22 @@ int main(int argc, char ** argv) {
     log_disable();
 #endif
     // own arguments required by this example
-    gpt_params    params;
-    server_params sparams;
+    gpt_params params;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
+        return 1;
+    }
+
+    // TODO: not great to use extern vars
+    server_log_json = params.log_json;
+    server_verbose = params.verbose;
 
     // struct that contains llama context and inference
     server_context ctx_server;
 
-    server_params_parse(argc, argv, sparams, params);
-
-    if (!sparams.system_prompt.empty()) {
-        ctx_server.system_prompt_set(sparams.system_prompt);
+    if (!params.system_prompt.empty()) {
+        ctx_server.system_prompt_set(params.system_prompt);
     }
 
     if (params.model_alias == "unknown") {
@@ -2962,10 +2390,10 @@ int main(int argc, char ** argv) {
 
     std::unique_ptr<httplib::Server> svr;
 #ifdef CPPHTTPLIB_OPENSSL_SUPPORT
-    if (sparams.ssl_key_file != "" && sparams.ssl_cert_file != "") {
-        LOG_INFO("Running with SSL", {{"key", sparams.ssl_key_file}, {"cert", sparams.ssl_cert_file}});
+    if (params.ssl_file_key != "" && params.ssl_file_cert != "") {
+        LOG_INFO("Running with SSL", {{"key", params.ssl_file_key}, {"cert", params.ssl_file_cert}});
         svr.reset(
-            new httplib::SSLServer(sparams.ssl_cert_file.c_str(), sparams.ssl_key_file.c_str())
+            new httplib::SSLServer(params.ssl_file_cert.c_str(), params.ssl_file_key.c_str())
         );
     } else {
         LOG_INFO("Running without SSL", {});
@@ -3019,24 +2447,24 @@ int main(int argc, char ** argv) {
     });
 
     // set timeouts and change hostname and port
-    svr->set_read_timeout (sparams.read_timeout);
-    svr->set_write_timeout(sparams.write_timeout);
+    svr->set_read_timeout (params.timeout_read);
+    svr->set_write_timeout(params.timeout_write);
 
-    if (!svr->bind_to_port(sparams.hostname, sparams.port)) {
-        fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", sparams.hostname.c_str(), sparams.port);
+    if (!svr->bind_to_port(params.hostname, params.port)) {
+        fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n", params.hostname.c_str(), params.port);
         return 1;
     }
 
     std::unordered_map<std::string, std::string> log_data;
 
-    log_data["hostname"] = sparams.hostname;
-    log_data["port"]     = std::to_string(sparams.port);
+    log_data["hostname"] = params.hostname;
+    log_data["port"]     = std::to_string(params.port);
 
-    if (sparams.api_keys.size() == 1) {
-        auto key = sparams.api_keys[0];
+    if (params.api_keys.size() == 1) {
+        auto key = params.api_keys[0];
         log_data["api_key"] = "api_key: ****" + key.substr(std::max((int)(key.length() - 4), 0));
-    } else if (sparams.api_keys.size() > 1) {
-        log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded";
+    } else if (params.api_keys.size() > 1) {
+        log_data["api_key"] = "api_key: " + std::to_string(params.api_keys.size()) + " keys loaded";
     }
 
     // load the model
@@ -3053,10 +2481,10 @@ int main(int argc, char ** argv) {
     const auto model_meta = ctx_server.model_meta();
 
     // if a custom chat template is not supplied, we will use the one that comes with the model (if any)
-    if (sparams.chat_template.empty()) {
+    if (params.chat_template.empty()) {
         if (!ctx_server.validate_model_chat_template()) {
             LOG_ERROR("The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses", {});
-            sparams.chat_template = "chatml";
+            params.chat_template = "chatml";
         }
     }
 
@@ -3068,11 +2496,11 @@ int main(int argc, char ** argv) {
         chat.push_back({{"role", "assistant"}, {"content", "Hi there"}});
         chat.push_back({{"role", "user"},      {"content", "How are you?"}});
 
-        const std::string chat_example = format_chat(ctx_server.model, sparams.chat_template, chat);
+        const std::string chat_example = format_chat(ctx_server.model, params.chat_template, chat);
 
         LOG_INFO("chat template", {
             {"chat_example", chat_example},
-            {"built_in", sparams.chat_template.empty()},
+            {"built_in", params.chat_template.empty()},
         });
     }
 
@@ -3080,7 +2508,7 @@ int main(int argc, char ** argv) {
     // Middlewares
     //
 
-    auto middleware_validate_api_key = [&sparams, &res_error](const httplib::Request & req, httplib::Response & res) {
+    auto middleware_validate_api_key = [&params, &res_error](const httplib::Request & req, httplib::Response & res) {
         // TODO: should we apply API key to all endpoints, including "/health" and "/models"?
         static const std::set<std::string> protected_endpoints = {
             "/props",
@@ -3098,7 +2526,7 @@ int main(int argc, char ** argv) {
         };
 
         // If API key is not set, skip validation
-        if (sparams.api_keys.empty()) {
+        if (params.api_keys.empty()) {
             return true;
         }
 
@@ -3113,7 +2541,7 @@ int main(int argc, char ** argv) {
         std::string prefix = "Bearer ";
         if (auth_header.substr(0, prefix.size()) == prefix) {
             std::string received_api_key = auth_header.substr(prefix.size());
-            if (std::find(sparams.api_keys.begin(), sparams.api_keys.end(), received_api_key) != sparams.api_keys.end()) {
+            if (std::find(params.api_keys.begin(), params.api_keys.end(), received_api_key) != params.api_keys.end()) {
                 return true; // API key is valid
             }
         }
@@ -3168,7 +2596,7 @@ int main(int argc, char ** argv) {
                     };
 
                     res.status = 200; // HTTP OK
-                    if (sparams.slots_endpoint && req.has_param("include_slots")) {
+                    if (params.endpoint_slots && req.has_param("include_slots")) {
                         health["slots"] = result.data.at("slots");
                     }
 
@@ -3194,7 +2622,7 @@ int main(int argc, char ** argv) {
     };
 
     const auto handle_slots = [&](const httplib::Request &, httplib::Response & res) {
-        if (!sparams.slots_endpoint) {
+        if (!params.endpoint_slots) {
             res_error(res, format_error_response("This server does not support slots endpoint.", ERROR_TYPE_NOT_SUPPORTED));
             return;
         }
@@ -3218,7 +2646,7 @@ int main(int argc, char ** argv) {
     };
 
     const auto handle_metrics = [&](const httplib::Request &, httplib::Response & res) {
-        if (!sparams.metrics_endpoint) {
+        if (!params.endpoint_metrics) {
             res_error(res, format_error_response("This server does not support metrics endpoint.", ERROR_TYPE_NOT_SUPPORTED));
             return;
         }
@@ -3318,14 +2746,14 @@ int main(int argc, char ** argv) {
         res.status = 200; // HTTP OK
     };
 
-    const auto handle_slots_save = [&ctx_server, &res_error, &sparams](const httplib::Request & req, httplib::Response & res, int id_slot) {
+    const auto handle_slots_save = [&ctx_server, &res_error, &params](const httplib::Request & req, httplib::Response & res, int id_slot) {
         json request_data = json::parse(req.body);
         std::string filename = request_data.at("filename");
         if (!fs_validate_filename(filename)) {
             res_error(res, format_error_response("Invalid filename", ERROR_TYPE_INVALID_REQUEST));
             return;
         }
-        std::string filepath = sparams.slot_save_path + filename;
+        std::string filepath = params.slot_save_path + filename;
 
         server_task task;
         task.type = SERVER_TASK_TYPE_SLOT_SAVE;
@@ -3348,14 +2776,14 @@ int main(int argc, char ** argv) {
         }
     };
 
-    const auto handle_slots_restore = [&ctx_server, &res_error, &sparams](const httplib::Request & req, httplib::Response & res, int id_slot) {
+    const auto handle_slots_restore = [&ctx_server, &res_error, &params](const httplib::Request & req, httplib::Response & res, int id_slot) {
         json request_data = json::parse(req.body);
         std::string filename = request_data.at("filename");
         if (!fs_validate_filename(filename)) {
             res_error(res, format_error_response("Invalid filename", ERROR_TYPE_INVALID_REQUEST));
             return;
         }
-        std::string filepath = sparams.slot_save_path + filename;
+        std::string filepath = params.slot_save_path + filename;
 
         server_task task;
         task.type = SERVER_TASK_TYPE_SLOT_RESTORE;
@@ -3530,9 +2958,9 @@ int main(int argc, char ** argv) {
         res.set_content(models.dump(), "application/json; charset=utf-8");
     };
 
-    const auto handle_chat_completions = [&ctx_server, &sparams, &res_error](const httplib::Request & req, httplib::Response & res) {
+    const auto handle_chat_completions = [&ctx_server, &params, &res_error](const httplib::Request & req, httplib::Response & res) {
         res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
-        json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), sparams.chat_template);
+        json data = oaicompat_completion_params_parse(ctx_server.model, json::parse(req.body), params.chat_template);
 
         const int id_task = ctx_server.queue_tasks.get_new_id();
 
@@ -3757,29 +3185,29 @@ int main(int argc, char ** argv) {
     //
 
     // register static assets routes
-    if (!sparams.public_path.empty()) {
+    if (!params.public_path.empty()) {
         // Set the base directory for serving static files
-        svr->set_base_dir(sparams.public_path);
+        svr->set_base_dir(params.public_path);
     }
+
     // using embedded static files
-    svr->Get("/", handle_static_file(index_html, index_html_len, "text/html; charset=utf-8"));
-    svr->Get("/index.js", handle_static_file(index_js, index_js_len, "text/javascript; charset=utf-8"));
-    svr->Get("/completion.js", handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8"));
-    svr->Get("/json-schema-to-grammar.mjs", handle_static_file(
-      json_schema_to_grammar_mjs, json_schema_to_grammar_mjs_len, "text/javascript; charset=utf-8"));
+    svr->Get("/",                           handle_static_file(index_html, index_html_len, "text/html; charset=utf-8"));
+    svr->Get("/index.js",                   handle_static_file(index_js, index_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/completion.js",              handle_static_file(completion_js, completion_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/json-schema-to-grammar.mjs", handle_static_file(json_schema_to_grammar_mjs, json_schema_to_grammar_mjs_len, "text/javascript; charset=utf-8"));
 
     // add new-ui files
-    svr->Get("/colorthemes.css", handle_static_file(colorthemes_css, colorthemes_css_len, "text/css; charset=utf-8"));
-    svr->Get("/style.css", handle_static_file(style_css, style_css_len, "text/css; charset=utf-8"));
+    svr->Get("/colorthemes.css",       handle_static_file(colorthemes_css, colorthemes_css_len, "text/css; charset=utf-8"));
+    svr->Get("/style.css",             handle_static_file(style_css, style_css_len, "text/css; charset=utf-8"));
     svr->Get("/theme-beeninorder.css", handle_static_file(theme_beeninorder_css, theme_beeninorder_css_len, "text/css; charset=utf-8"));
-    svr->Get("/theme-ketivah.css", handle_static_file(theme_ketivah_css, theme_ketivah_css_len, "text/css; charset=utf-8"));
-    svr->Get("/theme-mangotango.css", handle_static_file(theme_mangotango_css, theme_mangotango_css_len, "text/css; charset=utf-8"));
-    svr->Get("/theme-playground.css", handle_static_file(theme_playground_css, theme_playground_css_len, "text/css; charset=utf-8"));
-    svr->Get("/theme-polarnight.css", handle_static_file(theme_polarnight_css, theme_polarnight_css_len, "text/css; charset=utf-8"));
-    svr->Get("/theme-snowstorm.css", handle_static_file(theme_snowstorm_css, theme_snowstorm_css_len, "text/css; charset=utf-8"));
-    svr->Get("/index-new.html", handle_static_file(index_new_html, index_new_html_len, "text/html; charset=utf-8"));
-    svr->Get("/system-prompts.js", handle_static_file(system_prompts_js, system_prompts_js_len, "text/javascript; charset=utf-8"));
-    svr->Get("/prompt-formats.js", handle_static_file(prompt_formats_js, prompt_formats_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/theme-ketivah.css",     handle_static_file(theme_ketivah_css, theme_ketivah_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-mangotango.css",  handle_static_file(theme_mangotango_css, theme_mangotango_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-playground.css",  handle_static_file(theme_playground_css, theme_playground_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-polarnight.css",  handle_static_file(theme_polarnight_css, theme_polarnight_css_len, "text/css; charset=utf-8"));
+    svr->Get("/theme-snowstorm.css",   handle_static_file(theme_snowstorm_css, theme_snowstorm_css_len, "text/css; charset=utf-8"));
+    svr->Get("/index-new.html",        handle_static_file(index_new_html, index_new_html_len, "text/html; charset=utf-8"));
+    svr->Get("/system-prompts.js",     handle_static_file(system_prompts_js, system_prompts_js_len, "text/javascript; charset=utf-8"));
+    svr->Get("/prompt-formats.js",     handle_static_file(prompt_formats_js, prompt_formats_js_len, "text/javascript; charset=utf-8"));
 
     // register API routes
     svr->Get ("/health",              handle_health);
@@ -3798,7 +3226,7 @@ int main(int argc, char ** argv) {
     svr->Post("/v1/embeddings",       handle_embeddings);
     svr->Post("/tokenize",            handle_tokenize);
     svr->Post("/detokenize",          handle_detokenize);
-    if (!sparams.slot_save_path.empty()) {
+    if (!params.slot_save_path.empty()) {
         // only enable slot endpoints if slot_save_path is set
         svr->Post("/slots/:id_slot",  handle_slots_action);
     }
@@ -3806,12 +3234,12 @@ int main(int argc, char ** argv) {
     //
     // Start the server
     //
-    if (sparams.n_threads_http < 1) {
+    if (params.n_threads_http < 1) {
         // +2 threads for monitoring endpoints
-        sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
+        params.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
     }
-    log_data["n_threads_http"] =  std::to_string(sparams.n_threads_http);
-    svr->new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
+    log_data["n_threads_http"] =  std::to_string(params.n_threads_http);
+    svr->new_task_queue = [&params] { return new httplib::ThreadPool(params.n_threads_http); };
 
     LOG_INFO("HTTP server listening", log_data);
 
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index d8a2286e4..b7bfb41d3 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -116,13 +116,6 @@ static inline void server_log(const char * level, const char * function, int lin
 // chat template utils
 //
 
-// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
-inline bool verify_custom_template(const std::string & tmpl) {
-    llama_chat_message chat[] = {{"user", "test"}};
-    int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, nullptr, 0);
-    return res >= 0;
-}
-
 // Format given chat. If tmpl is empty, we take the template from model metadata
 inline std::string format_chat(const struct llama_model * model, const std::string & tmpl, const std::vector<json> & messages) {
     size_t alloc_size = 0;
diff --git a/examples/simple/README.md b/examples/simple/README.md
index 5d24b1046..49e24501c 100644
--- a/examples/simple/README.md
+++ b/examples/simple/README.md
@@ -3,7 +3,7 @@
 The purpose of this example is to demonstrate a minimal usage of llama.cpp for generating text with a given prompt.
 
 ```bash
-./simple ./models/llama-7b-v2/ggml-model-f16.gguf "Hello my name is"
+./simple -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is"
 
 ...
 
diff --git a/examples/simple/simple.cpp b/examples/simple/simple.cpp
index b0f8e0fdc..69a92cf7d 100644
--- a/examples/simple/simple.cpp
+++ b/examples/simple/simple.cpp
@@ -6,28 +6,27 @@
 #include <string>
 #include <vector>
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s -m model.gguf -p \"Hello my name is\" -n 32\n", argv[0]);
+    LOG_TEE("\n");
+}
+
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (argc == 1 || argv[1][0] == '-') {
-        printf("usage: %s MODEL_PATH [PROMPT]\n" , argv[0]);
-        return 1 ;
-    }
+    params.prompt = "Hello my name is";
+    params.n_predict = 32;
 
-    if (argc >= 2) {
-        params.model = argv[1];
-    }
-
-    if (argc >= 3) {
-        params.prompt = argv[2];
-    }
-
-    if (params.prompt.empty()) {
-        params.prompt = "Hello my name is";
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
     }
 
     // total length of the sequence including the prompt
-    const int n_len = 32;
+    const int n_predict = params.n_predict;
 
     // init LLM
 
@@ -36,9 +35,7 @@ int main(int argc, char ** argv) {
 
     // initialize the model
 
-    llama_model_params model_params = llama_model_default_params();
-
-    // model_params.n_gpu_layers = 99; // offload all layers to the GPU
+    llama_model_params model_params = llama_model_params_from_gpt_params(params);
 
     llama_model * model = llama_load_model_from_file(params.model.c_str(), model_params);
 
@@ -49,12 +46,7 @@ int main(int argc, char ** argv) {
 
     // initialize the context
 
-    llama_context_params ctx_params = llama_context_default_params();
-
-    ctx_params.seed  = 1234;
-    ctx_params.n_ctx = 2048;
-    ctx_params.n_threads = params.n_threads;
-    ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;
+    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
 
     llama_context * ctx = llama_new_context_with_model(model, ctx_params);
 
@@ -69,14 +61,14 @@ int main(int argc, char ** argv) {
     tokens_list = ::llama_tokenize(ctx, params.prompt, true);
 
     const int n_ctx    = llama_n_ctx(ctx);
-    const int n_kv_req = tokens_list.size() + (n_len - tokens_list.size());
+    const int n_kv_req = tokens_list.size() + (n_predict - tokens_list.size());
 
-    LOG_TEE("\n%s: n_len = %d, n_ctx = %d, n_kv_req = %d\n", __func__, n_len, n_ctx, n_kv_req);
+    LOG_TEE("\n%s: n_predict = %d, n_ctx = %d, n_kv_req = %d\n", __func__, n_predict, n_ctx, n_kv_req);
 
     // make sure the KV cache is big enough to hold all the prompt and generated tokens
     if (n_kv_req > n_ctx) {
         LOG_TEE("%s: error: n_kv_req > n_ctx, the required KV cache size is not big enough\n", __func__);
-        LOG_TEE("%s:        either reduce n_len or increase n_ctx\n", __func__);
+        LOG_TEE("%s:        either reduce n_predict or increase n_ctx\n", __func__);
         return 1;
     }
 
@@ -115,7 +107,7 @@ int main(int argc, char ** argv) {
 
     const auto t_main_start = ggml_time_us();
 
-    while (n_cur <= n_len) {
+    while (n_cur <= n_predict) {
         // sample the next token
         {
             auto   n_vocab = llama_n_vocab(model);
@@ -134,7 +126,7 @@ int main(int argc, char ** argv) {
             const llama_token new_token_id = llama_sample_token_greedy(ctx, &candidates_p);
 
             // is it an end of generation?
-            if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
+            if (llama_token_is_eog(model, new_token_id) || n_cur == n_predict) {
                 LOG_TEE("\n");
 
                 break;
diff --git a/examples/speculative/speculative.cpp b/examples/speculative/speculative.cpp
index 12e46fbc9..0939a1a6a 100644
--- a/examples/speculative/speculative.cpp
+++ b/examples/speculative/speculative.cpp
@@ -27,7 +27,8 @@ struct seq_draft {
 int main(int argc, char ** argv) {
     gpt_params params;
 
-    if (gpt_params_parse(argc, argv, params) == false) {
+    if (!gpt_params_parse(argc, argv, params)) {
+        gpt_params_print_usage(argc, argv, params);
         return 1;
     }
 
diff --git a/llama.cpp b/llama.cpp
index c05e2bdb7..06889126e 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -108,7 +108,7 @@
 //
 
 LLAMA_ATTRIBUTE_FORMAT(2, 3)
-static void llama_log_internal        (ggml_log_level level, const char* format, ...);
+static void llama_log_internal        (ggml_log_level level, const char * format, ...);
 static void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
 
 #define LLAMA_LOG_INFO(...)  llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
diff --git a/scripts/run-with-preset.py b/scripts/run-with-preset.py
index e986a3604..0d7219113 100755
--- a/scripts/run-with-preset.py
+++ b/scripts/run-with-preset.py
@@ -13,12 +13,12 @@ logger = logging.getLogger("run-with-preset")
 CLI_ARGS_MAIN_PERPLEXITY = [
     "batch-size", "cfg-negative-prompt", "cfg-scale", "chunks", "color", "ctx-size", "escape",
     "export", "file", "frequency-penalty", "grammar", "grammar-file", "hellaswag",
-    "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix", "instruct",
+    "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix",
     "interactive", "interactive-first", "keep", "logdir", "logit-bias", "lora", "lora-base",
     "low-vram", "main-gpu", "memory-f32", "mirostat", "mirostat-ent", "mirostat-lr", "mlock",
     "model", "multiline-input", "n-gpu-layers", "n-predict", "no-mmap", "no-mul-mat-q",
     "np-penalize-nl", "numa", "ppl-output-type", "ppl-stride", "presence-penalty", "prompt",
-    "prompt-cache", "prompt-cache-all", "prompt-cache-ro", "random-prompt", "repeat-last-n",
+    "prompt-cache", "prompt-cache-all", "prompt-cache-ro", "repeat-last-n",
     "repeat-penalty", "reverse-prompt", "rope-freq-base", "rope-freq-scale", "rope-scale", "seed",
     "simple-io", "tensor-split", "threads", "temp", "tfs", "top-k", "top-p", "typical",
     "verbose-prompt"

From b90dc566c1c615289b05b50d61680f23744a21e7 Mon Sep 17 00:00:00 2001
From: agray3 <agray3@users.noreply.github.com>
Date: Tue, 4 Jun 2024 21:06:49 +0100
Subject: [PATCH 010/131] Allow number of nodes in CUDA graph to change (#7738)

Previously the code would have failed to cope in the case that the
number of nodes changes in an existing CUDA graph. This fixes the
issue by removing an unnecessary conditional.
---
 ggml-cuda.cu | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index daaa0cd6a..c81c6a0d7 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -2702,10 +2702,8 @@ GGML_CALL static enum ggml_status ggml_backend_cuda_graph_compute(ggml_backend_t
 
         if (cuda_graph_update_required) {
             // Extract nodes from graph
-            if (cuda_ctx->cuda_graph->num_nodes == 0) {
-                // First call with null argument gets number of nodes in graph
-                CUDA_CHECK(cudaGraphGetNodes(cuda_ctx->cuda_graph->graph, nullptr, &cuda_ctx->cuda_graph->num_nodes));
-            }
+            // First call with null argument gets number of nodes in graph
+            CUDA_CHECK(cudaGraphGetNodes(cuda_ctx->cuda_graph->graph, nullptr, &cuda_ctx->cuda_graph->num_nodes));
             // Subsequent call with non-null argument gets nodes
             cuda_ctx->cuda_graph->nodes.resize(cuda_ctx->cuda_graph->num_nodes);
             cuda_ctx->cuda_graph->params.resize(cuda_ctx->cuda_graph->num_nodes);

From c90dbe026b456a233f8f0fbe752212e6a0503ca2 Mon Sep 17 00:00:00 2001
From: jaime-m-p <167997752+jaime-m-p@users.noreply.github.com>
Date: Wed, 5 Jun 2024 01:26:14 +0200
Subject: [PATCH 011/131] Fix per token atrributes bits (#7749)

---
 llama.h | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/llama.h b/llama.h
index b2a302dad..9dcd67bef 100644
--- a/llama.h
+++ b/llama.h
@@ -109,16 +109,16 @@ extern "C" {
 
     enum llama_token_attr {
         LLAMA_TOKEN_ATTR_UNDEFINED    = 0,
-        LLAMA_TOKEN_ATTR_UNKNOWN      = 1 <<  1,
-        LLAMA_TOKEN_ATTR_UNUSED       = 1 <<  2,
-        LLAMA_TOKEN_ATTR_NORMAL       = 1 <<  3,
-        LLAMA_TOKEN_ATTR_CONTROL      = 1 <<  4,  // SPECIAL?
-        LLAMA_TOKEN_ATTR_USER_DEFINED = 1 <<  5,
-        LLAMA_TOKEN_ATTR_BYTE         = 1 <<  6,
-        LLAMA_TOKEN_ATTR_NORMALIZED   = 1 <<  7,
-        LLAMA_TOKEN_ATTR_LSTRIP       = 1 <<  8,
-        LLAMA_TOKEN_ATTR_RSTRIP       = 1 <<  9,
-        LLAMA_TOKEN_ATTR_SINGLE_WORD  = 1 << 10,
+        LLAMA_TOKEN_ATTR_UNKNOWN      = 1 << 0,
+        LLAMA_TOKEN_ATTR_UNUSED       = 1 << 1,
+        LLAMA_TOKEN_ATTR_NORMAL       = 1 << 2,
+        LLAMA_TOKEN_ATTR_CONTROL      = 1 << 3,  // SPECIAL?
+        LLAMA_TOKEN_ATTR_USER_DEFINED = 1 << 4,
+        LLAMA_TOKEN_ATTR_BYTE         = 1 << 5,
+        LLAMA_TOKEN_ATTR_NORMALIZED   = 1 << 6,
+        LLAMA_TOKEN_ATTR_LSTRIP       = 1 << 7,
+        LLAMA_TOKEN_ATTR_RSTRIP       = 1 << 8,
+        LLAMA_TOKEN_ATTR_SINGLE_WORD  = 1 << 9,
     };
 
     // model file types

From 9973e81c5ccf4f31b3980f5aa73f5cfea8699860 Mon Sep 17 00:00:00 2001
From: arch-btw <57669023+arch-btw@users.noreply.github.com>
Date: Tue, 4 Jun 2024 23:40:49 -0700
Subject: [PATCH 012/131] readme : remove -ins (#7759)

-ins and --instruct were moved in https://github.com/ggerganov/llama.cpp/pull/7675

I have adjusted the README accordingly.
There was no trace of --chatml in the README.
---
 examples/main/README.md | 14 +-------------
 1 file changed, 1 insertion(+), 13 deletions(-)

diff --git a/examples/main/README.md b/examples/main/README.md
index 4eaa68475..cdc002f15 100644
--- a/examples/main/README.md
+++ b/examples/main/README.md
@@ -69,7 +69,6 @@ In this section, we cover the most commonly used options for running the `main`
 -   `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.gguf`; inferred from `--model-url` if set).
 -   `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file (e.g https://huggingface.co/ggml-org/models/resolve/main/phi-2/ggml-model-q4_0.gguf).
 -   `-i, --interactive`: Run the program in interactive mode, allowing you to provide input directly and receive real-time responses.
--   `-ins, --instruct`: Run the program in instruction mode, which is particularly useful when working with Alpaca models.
 -   `-n N, --n-predict N`: Set the number of tokens to predict when generating text. Adjusting this value can influence the length of the generated text.
 -   `-c N, --ctx-size N`: Set the size of the prompt context. The default is 512, but LLaMA models were built with a context of 2048, which will provide better results for longer input/inference.
 
@@ -83,7 +82,7 @@ The `main` program provides several ways to interact with the LLaMA models using
 
 ## Interaction
 
-The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive`, `--interactive-first`, and `--instruct`.
+The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
 
 In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing.
 
@@ -91,7 +90,6 @@ In interactive mode, users can participate in text generation by injecting their
 
 -   `-i, --interactive`: Run the program in interactive mode, allowing users to engage in real-time conversations or provide specific instructions to the model.
 -   `--interactive-first`: Run the program in interactive mode and immediately wait for user input before starting the text generation.
--   `-ins, --instruct`: Run the program in instruction mode, which is specifically designed to work with Alpaca models that excel in completing tasks based on user instructions.
 -   `--color`: Enable colorized output to differentiate visually distinguishing between prompts, user input, and generated text.
 
 By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs.
@@ -120,16 +118,6 @@ The `--in-suffix` flag is used to add a suffix after your input. This is useful
 ./main -r "User:" --in-prefix " " --in-suffix "Assistant:"
 ```
 
-### Instruction Mode
-
-Instruction mode is particularly useful when working with Alpaca models, which are designed to follow user instructions for specific tasks:
-
--   `-ins, --instruct`: Enable instruction mode to leverage the capabilities of Alpaca models in completing tasks based on user-provided instructions.
-
-Technical detail: the user's input is internally prefixed with the reverse prompt (or `### Instruction:` as the default), and followed by `### Response:` (except if you just press Return without any input, to keep generating a longer response).
-
-By understanding and utilizing these interaction options, you can create engaging and dynamic experiences with the LLaMA models, tailoring the text generation process to your specific needs.
-
 ## Context Management
 
 During text generation, LLaMA models have a limited context size, which means they can only consider a certain number of tokens from the input and generated text. When the context fills up, the model resets internally, potentially losing some information from the beginning of the conversation or instructions. Context management options help maintain continuity and coherence in these situations.

From 2b3389677a833cee0880226533a1768b1a9508d2 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Wed, 5 Jun 2024 11:29:20 +0300
Subject: [PATCH 013/131] ggml : refactor rope norm/neox (#7634)

* ggml : unify rope norm/neox (CPU)

* ggml : fix compile warning

* ggml : remove GLM rope mode

ggml-ci

* metal : better rope implementation

ggml-ci

* cuda : better rope implementation

ggml-ci

* naming : n_orig_ctx -> n_ctx_orig

ggml-ci

* dev : add reminders to update backends

ggml-ci

* vulkan : fix ggml_rope_ext() usage

* cuda : fix array size + indents

ggml-ci
---
 examples/baby-llama/baby-llama.cpp            |  12 +-
 examples/convert-legacy-llama.py              |  12 +-
 examples/finetune/finetune.cpp                |   2 +-
 .../train-text-from-scratch.cpp               |   2 +-
 ggml-cuda/rope.cu                             | 275 ++++++--------
 ggml-kompute.cpp                              |  13 +-
 ggml-metal.m                                  |  54 +--
 ggml-metal.metal                              | 200 ++++++-----
 ggml-sycl.cpp                                 |  74 +---
 ggml-vulkan.cpp                               |  22 +-
 ggml.c                                        | 334 ++++++------------
 ggml.h                                        |  36 +-
 kompute-shaders/op_rope_f16.comp              |   2 +-
 kompute-shaders/op_rope_f32.comp              |   2 +-
 kompute-shaders/rope_common.comp              |  12 +-
 llama.cpp                                     | 124 +++----
 tests/test-backend-ops.cpp                    |  31 +-
 tests/test-grad0.cpp                          |   4 +-
 tests/test-rope.cpp                           |   6 +-
 19 files changed, 485 insertions(+), 732 deletions(-)

diff --git a/examples/baby-llama/baby-llama.cpp b/examples/baby-llama/baby-llama.cpp
index bf0125e75..4f6c3746a 100644
--- a/examples/baby-llama/baby-llama.cpp
+++ b/examples/baby-llama/baby-llama.cpp
@@ -522,8 +522,8 @@ static struct ggml_tensor * forward(
             // wk   shape [n_embd, n_embd, 1, 1]
             // Qcur shape [n_embd/n_head, n_head, N, 1]
             // Kcur shape [n_embd/n_head, n_head, N, 1]
-            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0, 0);
-            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0, 0);
+            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0);
+            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_3d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N), KQ_pos, n_rot, 0);
 
             // store key and value to memory
             {
@@ -759,8 +759,8 @@ static struct ggml_tensor * forward_batch(
             // wk   shape [n_embd, n_embd, 1, 1]
             // Qcur shape [n_embd/n_head, n_head, N, n_batch]
             // Kcur shape [n_embd/n_head, n_head, N, n_batch]
-            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0, 0);
-            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0, 0);
+            struct ggml_tensor * Qcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wq, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0);
+            struct ggml_tensor * Kcur = ggml_rope(ctx0, ggml_reshape_4d(ctx0, ggml_mul_mat(ctx0, model->layers[il].wk, cur), n_embd/n_head, n_head, N, n_batch), KQ_pos, n_rot, 0);
             assert_shape_4d(Qcur, n_embd/n_head, n_head, N, n_batch);
             assert_shape_4d(Kcur, n_embd/n_head, n_head, N, n_batch);
 
@@ -1056,7 +1056,7 @@ static struct ggml_tensor * forward_lora(
                                                         model->layers[il].wqb,
                                                         cur)),
                                                 n_embd/n_head, n_head, N),
-                                            KQ_pos, n_rot, 0, 0);
+                                            KQ_pos, n_rot, 0);
             struct ggml_tensor * Kcur = ggml_rope(ctx0,
                                             ggml_reshape_3d(ctx0,
                                                 ggml_mul_mat(ctx0,
@@ -1065,7 +1065,7 @@ static struct ggml_tensor * forward_lora(
                                                         model->layers[il].wkb,
                                                         cur)),
                                                 n_embd/n_head, n_head, N),
-                                            KQ_pos, n_rot, 0, 0);
+                                            KQ_pos, n_rot, 0);
 
             // store key and value to memory
             {
diff --git a/examples/convert-legacy-llama.py b/examples/convert-legacy-llama.py
index fd8401015..721a57c00 100755
--- a/examples/convert-legacy-llama.py
+++ b/examples/convert-legacy-llama.py
@@ -176,7 +176,7 @@ class Params:
     rope_scaling_type: gguf.RopeScalingType | None = None
     f_rope_freq_base: float | None = None
     f_rope_scale: float | None = None
-    n_orig_ctx: int | None = None
+    n_ctx_orig: int | None = None
     rope_finetuned: bool | None = None
 
     ftype: GGMLFileType | None = None
@@ -226,7 +226,7 @@ class Params:
         with open(config_path) as f:
             config = json.load(f)
 
-        rope_scaling_type = f_rope_scale = n_orig_ctx = rope_finetuned = None
+        rope_scaling_type = f_rope_scale = n_ctx_orig = rope_finetuned = None
         rope_scaling = config.get("rope_scaling")
 
         if rope_scaling is not None and (typ := rope_scaling.get("type")):
@@ -236,7 +236,7 @@ class Params:
                 rope_scaling_type = gguf.RopeScalingType.LINEAR
             elif typ == "yarn":
                 rope_scaling_type = gguf.RopeScalingType.YARN
-                n_orig_ctx = rope_scaling['original_max_position_embeddings']
+                n_ctx_orig = rope_scaling['original_max_position_embeddings']
                 rope_finetuned = rope_scaling['finetuned']
             else:
                 raise NotImplementedError(f'Unknown rope scaling type: {typ}')
@@ -272,7 +272,7 @@ class Params:
             f_rope_freq_base  = config.get("rope_theta"),
             rope_scaling_type = rope_scaling_type,
             f_rope_scale      = f_rope_scale,
-            n_orig_ctx        = n_orig_ctx,
+            n_ctx_orig        = n_ctx_orig,
             rope_finetuned    = rope_finetuned,
         )
 
@@ -864,8 +864,8 @@ class OutputFile:
             self.gguf.add_rope_scaling_type(params.rope_scaling_type)
             self.gguf.add_rope_scaling_factor(params.f_rope_scale)
 
-        if params.n_orig_ctx is not None:
-            self.gguf.add_rope_scaling_orig_ctx_len(params.n_orig_ctx)
+        if params.n_ctx_orig is not None:
+            self.gguf.add_rope_scaling_orig_ctx_len(params.n_ctx_orig)
 
         if params.rope_finetuned is not None:
             self.gguf.add_rope_scaling_finetuned(params.rope_finetuned)
diff --git a/examples/finetune/finetune.cpp b/examples/finetune/finetune.cpp
index 22425730f..71a4333ee 100644
--- a/examples/finetune/finetune.cpp
+++ b/examples/finetune/finetune.cpp
@@ -564,7 +564,7 @@ static struct ggml_tensor * llama_build_lora_finetune_graphs(
         const int rope_mode = 0;
 
         return ggml_rope_ext(ctx,
-            t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx, 0,
+            t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx,
             rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
         );
     };
diff --git a/examples/train-text-from-scratch/train-text-from-scratch.cpp b/examples/train-text-from-scratch/train-text-from-scratch.cpp
index e2f85c682..b779f6bd4 100644
--- a/examples/train-text-from-scratch/train-text-from-scratch.cpp
+++ b/examples/train-text-from-scratch/train-text-from-scratch.cpp
@@ -302,7 +302,7 @@ static struct ggml_tensor * llama_build_train_graphs(
         const int rope_mode = 0;
 
         return ggml_rope_ext(
-            ctx, t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx, 0, rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
+            ctx, t, KQ_pos, nullptr, n_rot, rope_mode, n_ctx, rope_freq_base, rope_freq_scale, 0.0f, 1.0f, 0.0f, 0.0f
         );
     };
 
diff --git a/ggml-cuda/rope.cu b/ggml-cuda/rope.cu
index 0dd07977e..596fb7c13 100644
--- a/ggml-cuda/rope.cu
+++ b/ggml-cuda/rope.cu
@@ -1,7 +1,7 @@
 #include "rope.cuh"
 
 struct rope_corr_dims {
-    float v[4];
+    float v[2];
 };
 
 static __device__ float rope_yarn_ramp(const float low, const float high, const int i0) {
@@ -13,8 +13,7 @@ static __device__ float rope_yarn_ramp(const float low, const float high, const
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static __device__ void rope_yarn(
     float theta_extrap, float freq_scale, rope_corr_dims corr_dims, int64_t i0, float ext_factor, float mscale,
-    float * cos_theta, float * sin_theta
-) {
+    float * cos_theta, float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -29,27 +28,38 @@ static __device__ void rope_yarn(
     *sin_theta = sinf(theta) * mscale;
 }
 
-// rope == RoPE == rotary positional embedding
-template<typename T, bool has_pos>
-static __global__ void rope(
-    const T * x, T * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    float ext_factor, float attn_factor, rope_corr_dims corr_dims
-) {
-    const int col = 2*(blockDim.y*blockIdx.y + threadIdx.y);
+template<typename T, bool has_ff>
+static __global__ void rope_norm(
+    const T * x, T * dst, int ne0, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors) {
+    const int i0 = 2*(blockDim.y*blockIdx.y + threadIdx.y);
 
-    if (col >= ncols) {
+    if (i0 >= ne0) {
         return;
     }
 
     const int row = blockDim.x*blockIdx.x + threadIdx.x;
-    const int i = row*ncols + col;
+
+    if (i0 >= n_dims) {
+        const int i = row*ne0 + i0;
+
+        dst[i + 0] = x[i + 0];
+        dst[i + 1] = x[i + 1];
+
+        return;
+    }
+
+    const int i  = row*ne0 + i0;
     const int i2 = row/p_delta_rows;
 
-    const int p = has_pos ? pos[i2] : 0;
-    const float theta_base = p*powf(freq_base, -float(col)/ncols);
+    const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
 
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base, freq_scale, corr_dims, col, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
+
+    float cos_theta;
+    float sin_theta;
+
+    rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
     const float x0 = x[i + 0];
     const float x1 = x[i + 1];
@@ -58,23 +68,20 @@ static __global__ void rope(
     dst[i + 1] = x0*sin_theta + x1*cos_theta;
 }
 
-template<typename T, bool has_pos, bool has_freq_facs>
+template<typename T, bool has_ff>
 static __global__ void rope_neox(
-    const T * x, T * dst, int ncols, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors
-) {
-    const int col = 2*(blockDim.y*blockIdx.y + threadIdx.y);
+    const T * x, T * dst, int ne0, int n_dims, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float ext_factor, float attn_factor, rope_corr_dims corr_dims, float theta_scale, const float * freq_factors) {
+    const int i0 = 2*(blockDim.y*blockIdx.y + threadIdx.y);
 
-    if (col >= ncols) {
+    if (i0 >= ne0) {
         return;
     }
 
     const int row = blockDim.x*blockIdx.x + threadIdx.x;
-    const int ib = col / n_dims;
-    const int ic = col % n_dims;
 
-    if (ib > 0) {
-        const int i = row*ncols + ib*n_dims + ic;
+    if (i0 >= n_dims) {
+        const int i = row*ne0 + i0;
 
         dst[i + 0] = x[i + 0];
         dst[i + 1] = x[i + 1];
@@ -82,16 +89,17 @@ static __global__ void rope_neox(
         return;
     }
 
-    const int i  = row*ncols + ib*n_dims + ic/2;
+    const int i  = row*ne0 + i0/2;
     const int i2 = row/p_delta_rows;
 
-    const int p = has_pos ? pos[i2] : 0;
-    const float freq_factor = has_freq_facs ? freq_factors[ic/2] : 1.0f;
+    const float theta_base = pos[i2]*powf(theta_scale, i0/2.0f);
 
-    const float theta_base = p*powf(theta_scale, col/2.0f)/freq_factor;
+    const float freq_factor = has_ff ? freq_factors[i0/2] : 1.0f;
 
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base, freq_scale, corr_dims, ic, ext_factor, attn_factor, &cos_theta, &sin_theta);
+    float cos_theta;
+    float sin_theta;
+
+    rope_yarn(theta_base/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
     const float x0 = x[i + 0];
     const float x1 = x[i + n_dims/2];
@@ -100,144 +108,81 @@ static __global__ void rope_neox(
     dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
 }
 
-static __global__ void rope_glm_f32(
-    const float * x, float * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    int n_ctx
-) {
-    const int col = blockDim.x*blockIdx.x + threadIdx.x;
-    const int half_n_dims = ncols/4;
-
-    if (col >= half_n_dims) {
-        return;
-    }
-
-    const int row = blockDim.y*blockIdx.y + threadIdx.y;
-    const int i = row*ncols + col;
-    const int i2 = row/p_delta_rows;
-
-    const float col_theta_scale = powf(freq_base, -2.0f*col/ncols);
-     // FIXME: this is likely wrong
-    const int p = pos != nullptr ? pos[i2] : 0;
-
-    const float theta = min(p, n_ctx - 2)*freq_scale*col_theta_scale;
-    const float sin_theta = sinf(theta);
-    const float cos_theta = cosf(theta);
-
-    const float x0 = x[i + 0];
-    const float x1 = x[i + half_n_dims];
-
-    dst[i + 0]           = x0*cos_theta - x1*sin_theta;
-    dst[i + half_n_dims] = x0*sin_theta + x1*cos_theta;
-
-    const float block_theta = ((float)max(p - n_ctx - 2, 0))*col_theta_scale;
-    const float sin_block_theta = sinf(block_theta);
-    const float cos_block_theta = cosf(block_theta);
-
-    const float x2 = x[i + half_n_dims * 2];
-    const float x3 = x[i + half_n_dims * 3];
-
-    dst[i + half_n_dims * 2] = x2*cos_block_theta - x3*sin_block_theta;
-    dst[i + half_n_dims * 3] = x2*sin_block_theta + x3*cos_block_theta;
-}
-
-
 template<typename T>
-static void rope_cuda(
-    const T * x, T * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 2 == 0);
+static void rope_norm_cuda(
+    const T * x, T * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+    GGML_ASSERT(ne0 % 2 == 0);
     const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1);
-    const int num_blocks_x = (ncols + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
-    const dim3 block_nums(nrows, num_blocks_x, 1);
-    if (pos == nullptr) {
-        rope<T, false><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims
-        );
+    const int n_blocks_x = (ne0 + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
+    const dim3 block_nums(nr, n_blocks_x, 1);
+
+    const float theta_scale = powf(freq_base, -2.0f/n_dims);
+
+    if (freq_factors == nullptr) {
+        rope_norm<T, false><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     } else {
-        rope<T, true><<<block_nums, block_dims, 0, stream>>>(
-            x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims
-        );
+        rope_norm<T, true><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+                theta_scale, freq_factors
+                );
     }
 }
 
 template<typename T>
 static void rope_neox_cuda(
-    const T * x, T * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 2 == 0);
+    const T * x, T * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+    GGML_ASSERT(ne0 % 2 == 0);
     const dim3 block_dims(1, CUDA_ROPE_BLOCK_SIZE, 1);
-    const int num_blocks_x = (ncols + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
-    const dim3 block_nums(nrows, num_blocks_x, 1);
+    const int n_blocks_x = (ne0 + 2*CUDA_ROPE_BLOCK_SIZE - 1) / (2*CUDA_ROPE_BLOCK_SIZE);
+    const dim3 block_nums(nr, n_blocks_x, 1);
 
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
 
-    if (pos == nullptr) {
-        if (freq_factors == nullptr) {
-            rope_neox<T, false, false><<<block_nums, block_dims, 0, stream>>>(
-                x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+    if (freq_factors == nullptr) {
+        rope_neox<T, false><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
                 theta_scale, freq_factors
                 );
-        } else {
-            rope_neox<T, false, true><<<block_nums, block_dims, 0, stream>>>(
-                x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
-                theta_scale, freq_factors
-                );
-        }
     } else {
-        if (freq_factors == nullptr) {
-            rope_neox<T, true, false><<<block_nums, block_dims, 0, stream>>>(
-                x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
+        rope_neox<T, true><<<block_nums, block_dims, 0, stream>>>(
+                x, dst, ne0, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
                 theta_scale, freq_factors
                 );
-        } else {
-            rope_neox<T, true, true><<<block_nums, block_dims, 0, stream>>>(
-                x, dst, ncols, n_dims, pos, freq_scale, p_delta_rows, ext_factor, attn_factor, corr_dims,
-                theta_scale, freq_factors
-                );
-        }
     }
 }
 
-static void rope_glm_f32_cuda(
-    const float * x, float * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, int n_ctx, cudaStream_t stream
-) {
-    GGML_ASSERT(ncols % 4 == 0);
-    const dim3 block_dims(CUDA_ROPE_BLOCK_SIZE/4, 1, 1);
-    const int num_blocks_x = (ncols + CUDA_ROPE_BLOCK_SIZE - 1) / CUDA_ROPE_BLOCK_SIZE;
-    const dim3 block_nums(num_blocks_x, nrows, 1);
-    rope_glm_f32<<<block_nums, block_dims, 0, stream>>>(x, dst, ncols, pos, freq_scale, p_delta_rows, freq_base, n_ctx);
+static void rope_norm_cuda_f16(
+    const half * x, half * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
+
+    rope_norm_cuda<half>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
-static void rope_cuda_f16(
-    const half * x, half * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream) {
+static void rope_norm_cuda_f32(
+    const float * x, float * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
+    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
 
-    rope_cuda<half>(x, dst, ncols, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
-}
-
-static void rope_cuda_f32(
-    const float * x, float * dst, int ncols, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
-    float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, cudaStream_t stream) {
-
-    rope_cuda<float>(x, dst, ncols, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, stream);
+    rope_norm_cuda<float>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 static void rope_neox_cuda_f16(
-    const half * x, half * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
+    const half * x, half * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
     float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream) {
 
-    rope_neox_cuda<half>(x, dst, ncols, n_dims, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
+    rope_neox_cuda<half>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 static void rope_neox_cuda_f32(
-    const float * x, float * dst, int ncols, int n_dims, int nrows, const int32_t * pos, float freq_scale, int p_delta_rows,
+    const float * x, float * dst, int ne0, int n_dims, int nr, const int32_t * pos, float freq_scale, int p_delta_rows,
     float freq_base, float ext_factor, float attn_factor, rope_corr_dims corr_dims, const float * freq_factors, cudaStream_t stream
 ) {
 
-    rope_neox_cuda<float>(x, dst, ncols, n_dims, nrows, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
+    rope_neox_cuda<float>(x, dst, ne0, n_dims, nr, pos, freq_scale, p_delta_rows, freq_base, ext_factor, attn_factor, corr_dims, freq_factors, stream);
 }
 
 void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
@@ -258,16 +203,22 @@ void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
 
     const int64_t ne00 = src0->ne[0];
     const int64_t ne01 = src0->ne[1];
-    const int64_t nrows = ggml_nrows(src0);
+    const int64_t nr = ggml_nrows(src0);
 
-    //const int n_past      = ((int32_t *) dst->op_params)[0];
-    const int n_dims      = ((int32_t *) dst->op_params)[1];
-    const int mode        = ((int32_t *) dst->op_params)[2];
-    const int n_ctx       = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx  = ((int32_t *) dst->op_params)[4];
+    //const int n_past     = ((int32_t *) dst->op_params)[0];
+    const int n_dims     = ((int32_t *) dst->op_params)[1];
+    const int mode       = ((int32_t *) dst->op_params)[2];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
     // RoPE alteration for extended context
-    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
+    float freq_base;
+    float freq_scale;
+    float ext_factor;
+    float attn_factor;
+    float beta_fast;
+    float beta_slow;
+
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
     memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
@@ -275,38 +226,28 @@ void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
     memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
 
-    const float * freq_factors = nullptr;
-    const int32_t * pos = nullptr;
-
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
 
-    pos = (const int32_t *) src1_d;
+    const int32_t * pos = (const int32_t *) src1_d;
 
-    if (is_neox) {
-        if (src2 != nullptr) {
-            freq_factors = (const float *) src2->data;
-        }
-    } else {
-        GGML_ASSERT(src2 == nullptr && "TODO: freq_factors not implemented for !is_neox");
+    const float * freq_factors = nullptr;
+    if (src2 != nullptr) {
+        freq_factors = (const float *) src2->data;
     }
 
     rope_corr_dims corr_dims;
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims.v);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v);
 
     // compute
-    if (is_glm) {
-        GGML_ASSERT(false);
-        rope_glm_f32_cuda(src0_d, dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, n_ctx, stream);
-    } else if (is_neox) {
+    if (is_neox) {
         if (src0->type == GGML_TYPE_F32) {
             rope_neox_cuda_f32(
-                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
+                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
                 attn_factor, corr_dims, freq_factors, stream
             );
         } else if (src0->type == GGML_TYPE_F16) {
             rope_neox_cuda_f16(
-                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
+                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
                 attn_factor, corr_dims, freq_factors, stream
             );
         } else {
@@ -314,14 +255,14 @@ void ggml_cuda_op_rope(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
         }
     } else {
         if (src0->type == GGML_TYPE_F32) {
-            rope_cuda_f32(
-                (const float *)src0_d, (float *)dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+            rope_norm_cuda_f32(
+                (const float *)src0_d, (float *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else if (src0->type == GGML_TYPE_F16) {
-            rope_cuda_f16(
-                (const half *)src0_d, (half *)dst_d, ne00, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
-                attn_factor, corr_dims, stream
+            rope_norm_cuda_f16(
+                (const half *)src0_d, (half *)dst_d, ne00, n_dims, nr, pos, freq_scale, ne01, freq_base, ext_factor,
+                attn_factor, corr_dims, freq_factors, stream
             );
         } else {
             GGML_ASSERT(false);
diff --git a/ggml-kompute.cpp b/ggml-kompute.cpp
index eabd70d5e..5592741be 100644
--- a/ggml-kompute.cpp
+++ b/ggml-kompute.cpp
@@ -1192,7 +1192,7 @@ static void ggml_vk_rope(
     const std::shared_ptr<kp::Tensor>& inB,
     const std::shared_ptr<kp::Tensor>& out,
     uint32_t inAOff, uint32_t inBOff, uint32_t outOff,
-    ggml_type src0t, int32_t n_dims, int32_t mode, int32_t n_orig_ctx,
+    ggml_type src0t, int32_t n_dims, int32_t mode, int32_t n_ctx_orig,
     float freq_base, float freq_scale, float ext_factor, float attn_factor, float beta_fast, float beta_slow,
     int32_t ne01, int32_t ne02, int32_t ne03,
     uint32_t nb00, uint32_t nb01, uint32_t nb02, uint32_t nb03,
@@ -1221,14 +1221,14 @@ static void ggml_vk_rope(
 
     struct PushConstants {
         uint32_t inAOff, inBOff, outOff;
-        int32_t n_dims, mode, n_orig_ctx;
+        int32_t n_dims, mode, n_ctx_orig;
         float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
         uint32_t nb00, nb01, nb02, nb03;
         int32_t ne0;
         uint32_t nb0, nb1, nb2, nb3;
     } pushConsts {
         safe_divide(inAOff, type_size), safe_divide(inBOff, 4), safe_divide(outOff, type_size),
-        n_dims, mode, n_orig_ctx,
+        n_dims, mode, n_ctx_orig,
         freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow,
         nb00, nb01, nb02, nb03,
         ne0,
@@ -1692,13 +1692,16 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
 #pragma message("      https://github.com/ggerganov/llama.cpp/pull/7225")
                         GGML_ASSERT(dst->src[2] == nullptr && "phi3 frequency factors not implemented yet");
 
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
+
                         GGML_ASSERT(ne10 == ne02);
                         GGML_ASSERT(src0t == dstt);
                         // const int n_past = ((int32_t *) dst->op_params)[0];
                         const int n_dims     = ((int32_t *) dst->op_params)[1];
                         const int mode       = ((int32_t *) dst->op_params)[2];
                         // skip 3, n_ctx used in GLM RoPE, unimplemented in Vulkan
-                        const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+                        const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
                         float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
                         memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
@@ -1708,7 +1711,7 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
                         memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
                         memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
                         ggml_vk_rope(
-                            seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, src0t, n_dims, mode, n_orig_ctx,
+                            seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, src0t, n_dims, mode, n_ctx_orig,
                             freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow,
                             ne01, ne02, ne03, nb00, nb01, nb02, nb03, ne0, nb0, nb1, nb2, nb3
                         );
diff --git a/ggml-metal.m b/ggml-metal.m
index fddc44f78..946f11813 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -172,8 +172,10 @@ enum ggml_metal_kernel_type {
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ1_M_F32,
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_NL_F32,
     GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_XS_F32,
-    GGML_METAL_KERNEL_TYPE_ROPE_F32,
-    GGML_METAL_KERNEL_TYPE_ROPE_F16,
+    GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32,
+    GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16,
+    GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32,
+    GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16,
     GGML_METAL_KERNEL_TYPE_IM2COL_F16,
     GGML_METAL_KERNEL_TYPE_IM2COL_F32,
     GGML_METAL_KERNEL_TYPE_UPSCALE_F32,
@@ -626,8 +628,10 @@ static struct ggml_metal_context * ggml_metal_init(int n_cb) {
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ1_M_F32,           mul_mm_id_iq1_m_f32,            ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_NL_F32,          mul_mm_id_iq4_nl_f32,           ctx->support_simdgroup_mm);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_MUL_MM_ID_IQ4_XS_F32,          mul_mm_id_iq4_xs_f32,           ctx->support_simdgroup_mm);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_F32,                      rope_f32,                       true);
-        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_F16,                      rope_f16,                       true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32,                 rope_norm_f32,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16,                 rope_norm_f16,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32,                 rope_neox_f32,                  true);
+        GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16,                 rope_neox_f16,                  true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_IM2COL_F16,                    im2col_f16,                     true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_IM2COL_F32,                    im2col_f32,                     true);
         GGML_METAL_ADD_KERNEL(GGML_METAL_KERNEL_TYPE_UPSCALE_F32,                   upscale_f32,                    true);
@@ -2285,7 +2289,7 @@ static enum ggml_status ggml_metal_graph_compute(
                         const int n_dims     = ((int32_t *) dst->op_params)[1];
                         const int mode       = ((int32_t *) dst->op_params)[2];
                         // skip 3, n_ctx, used in GLM RoPE, unimplemented in metal
-                        const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+                        const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
                         float freq_base;
                         float freq_scale;
@@ -2302,21 +2306,22 @@ static enum ggml_status ggml_metal_graph_compute(
                         memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
 
                         const bool is_neox = mode & 2;
-                        const bool is_glm  = mode & 4;
-
-                        GGML_ASSERT(!is_glm && "GLM RoPE not implemented in Metal");
-
-                        if (!is_neox) {
-                            GGML_ASSERT(id_src2 == nil && "TODO: freq_factors not implemented for !is_neox");
-                        }
 
                         id<MTLComputePipelineState> pipeline = nil;
 
-                        switch (src0->type) {
-                            case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F32].pipeline; break;
-                            case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_F16].pipeline; break;
-                            default: GGML_ASSERT(false);
-                        };
+                        if (!is_neox) {
+                            switch (src0->type) {
+                                case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NORM_F32].pipeline; break;
+                                case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NORM_F16].pipeline; break;
+                                default: GGML_ASSERT(false);
+                            };
+                        } else {
+                            switch (src0->type) {
+                                case GGML_TYPE_F32: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F32].pipeline; break;
+                                case GGML_TYPE_F16: pipeline = ctx->kernels[GGML_METAL_KERNEL_TYPE_ROPE_NEOX_F16].pipeline; break;
+                                default: GGML_ASSERT(false);
+                            };
+                        }
 
                         [encoder setComputePipelineState:pipeline];
                         [encoder setBuffer:id_src0     offset:offs_src0        atIndex:0];
@@ -2345,14 +2350,13 @@ static enum ggml_status ggml_metal_graph_compute(
                         [encoder setBytes:&nb3         length:sizeof(uint64_t) atIndex:19];
                         [encoder setBytes:&n_past      length:sizeof(     int) atIndex:20];
                         [encoder setBytes:&n_dims      length:sizeof(     int) atIndex:21];
-                        [encoder setBytes:&mode        length:sizeof(     int) atIndex:22];
-                        [encoder setBytes:&n_orig_ctx  length:sizeof(     int) atIndex:23];
-                        [encoder setBytes:&freq_base   length:sizeof(   float) atIndex:24];
-                        [encoder setBytes:&freq_scale  length:sizeof(   float) atIndex:25];
-                        [encoder setBytes:&ext_factor  length:sizeof(   float) atIndex:26];
-                        [encoder setBytes:&attn_factor length:sizeof(   float) atIndex:27];
-                        [encoder setBytes:&beta_fast   length:sizeof(   float) atIndex:28];
-                        [encoder setBytes:&beta_slow   length:sizeof(   float) atIndex:29];
+                        [encoder setBytes:&n_ctx_orig  length:sizeof(     int) atIndex:22];
+                        [encoder setBytes:&freq_base   length:sizeof(   float) atIndex:23];
+                        [encoder setBytes:&freq_scale  length:sizeof(   float) atIndex:24];
+                        [encoder setBytes:&ext_factor  length:sizeof(   float) atIndex:25];
+                        [encoder setBytes:&attn_factor length:sizeof(   float) atIndex:26];
+                        [encoder setBytes:&beta_fast   length:sizeof(   float) atIndex:27];
+                        [encoder setBytes:&beta_slow   length:sizeof(   float) atIndex:28];
 
                         [encoder dispatchThreadgroups:MTLSizeMake(ne01, ne02, ne03) threadsPerThreadgroup:MTLSizeMake(nth, 1, 1)];
                     } break;
diff --git a/ggml-metal.metal b/ggml-metal.metal
index 0cb85e1a5..e2796fd60 100644
--- a/ggml-metal.metal
+++ b/ggml-metal.metal
@@ -1654,8 +1654,7 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static void rope_yarn(
     float theta_extrap, float freq_scale, float corr_dims[2], int64_t i0, float ext_factor, float mscale,
-    thread float * cos_theta, thread float * sin_theta
-) {
+    thread float * cos_theta, thread float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -1672,55 +1671,20 @@ static void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_fac(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-static float rope_yarn_corr_factor(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * log(n_orig_ctx / (n_rot * 2 * M_PI_F)) / (2 * log(base));
+static float rope_yarn_corr_factor(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * log(n_ctx_orig / (n_rot * 2 * M_PI_F)) / (2 * log(base));
 }
 
 static void rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]
 ) {
     // start and end correction dims
-    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_fast, freq_base)));
-    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_slow, freq_base)));
+    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_fast, freq_base)));
+    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_slow, freq_base)));
 }
 
-typedef void (rope_t)(
-        device const    void * src0,
-        device const int32_t * src1,
-        device const   float * src2,
-        device         float * dst,
-        constant     int64_t & ne00,
-        constant     int64_t & ne01,
-        constant     int64_t & ne02,
-        constant     int64_t & ne03,
-        constant    uint64_t & nb00,
-        constant    uint64_t & nb01,
-        constant    uint64_t & nb02,
-        constant    uint64_t & nb03,
-        constant     int64_t & ne0,
-        constant     int64_t & ne1,
-        constant     int64_t & ne2,
-        constant     int64_t & ne3,
-        constant    uint64_t & nb0,
-        constant    uint64_t & nb1,
-        constant    uint64_t & nb2,
-        constant    uint64_t & nb3,
-        constant         int & n_past,
-        constant         int & n_dims,
-        constant         int & mode,
-        constant         int & n_orig_ctx,
-        constant       float & freq_base,
-        constant       float & freq_scale,
-        constant       float & ext_factor,
-        constant       float & attn_factor,
-        constant       float & beta_fast,
-        constant       float & beta_slow,
-        uint  tiitg[[thread_index_in_threadgroup]],
-        uint3 tptg[[threads_per_threadgroup]],
-        uint3 tgpig[[threadgroup_position_in_grid]]);
-
 template<typename T>
-kernel void kernel_rope(
+kernel void kernel_rope_norm(
         device const    void * src0,
         device const int32_t * src1,
         device const   float * src2,
@@ -1743,8 +1707,7 @@ kernel void kernel_rope(
         constant    uint64_t & nb3,
         constant         int & n_past,
         constant         int & n_dims,
-        constant         int & mode,
-        constant         int & n_orig_ctx,
+        constant         int & n_ctx_orig,
         constant       float & freq_base,
         constant       float & freq_scale,
         constant       float & ext_factor,
@@ -1758,69 +1721,130 @@ kernel void kernel_rope(
     const int64_t i2 = tgpig[1];
     const int64_t i1 = tgpig[0];
 
-    const bool is_neox = mode & 2;
-
     float corr_dims[2];
-    rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     device const int32_t * pos = src1;
 
-    const int64_t p = pos[i2];
-
-    const float theta_base = (float)p;
+    const float theta_base = (float) pos[i2];
     const float inv_ndims = -1.f/n_dims;
 
-    if (!is_neox) {
-        for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+    float cos_theta;
+    float sin_theta;
+
+    for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+        if (i0 < n_dims) {
+            const int64_t ic = i0/2;
+
             const float theta = theta_base * pow(freq_base, inv_ndims*i0);
 
-            float cos_theta, sin_theta;
-            rope_yarn(theta, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+            const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
+
+            rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
 
             device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
             device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-            const T x0 = src[0];
-            const T x1 = src[1];
+            const float x0 = src[0];
+            const float x1 = src[1];
 
             dst_data[0] = x0*cos_theta - x1*sin_theta;
             dst_data[1] = x0*sin_theta + x1*cos_theta;
-        }
-    } else {
-        for (int64_t ic = 2*tiitg; ic < ne0; ic += 2*tptg.x) {
-            if (ic < n_dims) {
-                const int64_t i0 = ic/2;
+        } else {
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
-                const float freq_factor = src2 != src0 ? src2[i0] : 1.0f;
-
-                const float theta = theta_base * pow(freq_base, inv_ndims*ic);
-
-                float cos_theta, sin_theta;
-                rope_yarn(theta/freq_factor, freq_scale, corr_dims, ic, ext_factor, attn_factor, &cos_theta, &sin_theta);
-
-                device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                const float x0 = src[0];
-                const float x1 = src[n_dims/2];
-
-                dst_data[0]        = x0*cos_theta - x1*sin_theta;
-                dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
-            } else {
-                const int64_t i0 = ic;
-
-                device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                dst_data[0] = src[0];
-                dst_data[1] = src[1];
-            }
+            dst_data[0] = src[0];
+            dst_data[1] = src[1];
         }
     }
 }
 
-template [[host_name("kernel_rope_f32")]] kernel rope_t kernel_rope<float>;
-template [[host_name("kernel_rope_f16")]] kernel rope_t kernel_rope<half>;
+template<typename T>
+kernel void kernel_rope_neox(
+        device const    void * src0,
+        device const int32_t * src1,
+        device const   float * src2,
+        device         float * dst,
+        constant     int64_t & ne00,
+        constant     int64_t & ne01,
+        constant     int64_t & ne02,
+        constant     int64_t & ne03,
+        constant    uint64_t & nb00,
+        constant    uint64_t & nb01,
+        constant    uint64_t & nb02,
+        constant    uint64_t & nb03,
+        constant     int64_t & ne0,
+        constant     int64_t & ne1,
+        constant     int64_t & ne2,
+        constant     int64_t & ne3,
+        constant    uint64_t & nb0,
+        constant    uint64_t & nb1,
+        constant    uint64_t & nb2,
+        constant    uint64_t & nb3,
+        constant         int & n_past,
+        constant         int & n_dims,
+        constant         int & n_ctx_orig,
+        constant       float & freq_base,
+        constant       float & freq_scale,
+        constant       float & ext_factor,
+        constant       float & attn_factor,
+        constant       float & beta_fast,
+        constant       float & beta_slow,
+        uint  tiitg[[thread_index_in_threadgroup]],
+        uint3 tptg[[threads_per_threadgroup]],
+        uint3 tgpig[[threadgroup_position_in_grid]]) {
+    const int64_t i3 = tgpig[2];
+    const int64_t i2 = tgpig[1];
+    const int64_t i1 = tgpig[0];
+
+    float corr_dims[2];
+    rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
+
+    device const int32_t * pos = src1;
+
+    const float theta_base = (float) pos[i2];
+    const float inv_ndims = -1.f/n_dims;
+
+    float cos_theta;
+    float sin_theta;
+
+    for (int64_t i0 = 2*tiitg; i0 < ne0; i0 += 2*tptg.x) {
+        if (i0 < n_dims) {
+            const int64_t ic = i0/2;
+
+            const float theta = theta_base * pow(freq_base, inv_ndims*i0);
+
+            const float freq_factor = src2 != src0 ? src2[ic] : 1.0f;
+
+            rope_yarn(theta/freq_factor, freq_scale, corr_dims, i0, ext_factor, attn_factor, &cos_theta, &sin_theta);
+
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
+
+            const float x0 = src[0];
+            const float x1 = src[n_dims/2];
+
+            dst_data[0]        = x0*cos_theta - x1*sin_theta;
+            dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
+        } else {
+            device const T * const src = (device T *)((device char *) src0 + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+            device       T * dst_data  = (device T *)((device char *)  dst + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+            dst_data[0] = src[0];
+            dst_data[1] = src[1];
+        }
+    }
+}
+
+typedef decltype(kernel_rope_norm<float>) kernel_rope_norm_t;
+typedef decltype(kernel_rope_neox<float>) kernel_rope_neox_t;
+
+template [[host_name("kernel_rope_norm_f32")]] kernel kernel_rope_norm_t kernel_rope_norm<float>;
+template [[host_name("kernel_rope_norm_f16")]] kernel kernel_rope_norm_t kernel_rope_norm<half>;
+
+template [[host_name("kernel_rope_neox_f32")]] kernel kernel_rope_neox_t kernel_rope_neox<float>;
+template [[host_name("kernel_rope_neox_f16")]] kernel kernel_rope_neox_t kernel_rope_neox<half>;
 
 typedef void (im2col_t)(
         device const float * x,
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 5cd97e4ff..3ff76474d 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -8928,49 +8928,6 @@ static void rope_neox(
     dst[i + n_dims/2] = x0*sin_theta + x1*cos_theta;
 }
 
-static void rope_glm_f32(
-    const float * x, float * dst, int ncols, const int32_t * pos, float freq_scale, int p_delta_rows, float freq_base,
-    int n_ctx
-, const sycl::nd_item<3> &item_ct1) {
-    const int col = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
-                    item_ct1.get_local_id(2);
-    const int half_n_dims = ncols/4;
-
-    if (col >= half_n_dims) {
-        return;
-    }
-
-    const int row = item_ct1.get_local_range(1) * item_ct1.get_group(1) +
-                    item_ct1.get_local_id(1);
-    const int i = row*ncols + col;
-    const int i2 = row/p_delta_rows;
-
-    const float col_theta_scale = dpct::pow(freq_base, -2.0f * col / ncols);
-     // FIXME: this is likely wrong
-    const int p = pos != nullptr ? pos[i2] : 0;
-
-    const float theta = sycl::min(p, n_ctx - 2) * freq_scale * col_theta_scale;
-    const float sin_theta = sycl::sin((float)theta);
-    const float cos_theta = sycl::cos((float)theta);
-
-    const float x0 = x[i + 0];
-    const float x1 = x[i + half_n_dims];
-
-    dst[i + 0]           = x0*cos_theta - x1*sin_theta;
-    dst[i + half_n_dims] = x0*sin_theta + x1*cos_theta;
-
-    const float block_theta =
-        ((float)sycl::max(p - n_ctx - 2, 0)) * col_theta_scale;
-    const float sin_block_theta = sycl::sin((float)block_theta);
-    const float cos_block_theta = sycl::cos((float)block_theta);
-
-    const float x2 = x[i + half_n_dims * 2];
-    const float x3 = x[i + half_n_dims * 3];
-
-    dst[i + half_n_dims * 2] = x2*cos_block_theta - x3*sin_block_theta;
-    dst[i + half_n_dims * 3] = x2*sin_block_theta + x3*cos_block_theta;
-}
-
 static void k_sum_rows_f32(const float * x, float * dst, const int ncols,
                            const sycl::nd_item<3> &item_ct1) {
     const int row = item_ct1.get_group(1);
@@ -12520,22 +12477,6 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
     }
 }
 
-static void rope_glm_f32_sycl(const float *x, float *dst, int ncols, int nrows,
-                              const int32_t *pos, float freq_scale,
-                              int p_delta_rows, float freq_base, int n_ctx,
-                              dpct::queue_ptr stream) {
-    GGML_ASSERT(ncols % 4 == 0);
-    const sycl::range<3> block_dims(1, 1, SYCL_ROPE_BLOCK_SIZE / 4);
-    const int num_blocks_x = (ncols + SYCL_ROPE_BLOCK_SIZE - 1) / SYCL_ROPE_BLOCK_SIZE;
-    const sycl::range<3> block_nums(1, nrows, num_blocks_x);
-    stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                         [=](sycl::nd_item<3> item_ct1) {
-                             rope_glm_f32(x, dst, ncols, pos, freq_scale,
-                                          p_delta_rows, freq_base, n_ctx,
-                                          item_ct1);
-                         });
-}
-
 static void sum_rows_f32_sycl(const float *x, float *dst, const int ncols,
                               const int nrows, dpct::queue_ptr stream) {
     const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -14066,8 +14007,8 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     //const int n_past      = ((int32_t *) dst->op_params)[0];
     const int n_dims      = ((int32_t *) dst->op_params)[1];
     const int mode        = ((int32_t *) dst->op_params)[2];
-    const int n_ctx       = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx  = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx       = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig  = ((int32_t *) dst->op_params)[4];
 
     // RoPE alteration for extended context
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
@@ -14087,7 +14028,9 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     }
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
+
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
 
     if (is_neox) {
         pos = (const int32_t *) src1_dd;
@@ -14100,13 +14043,10 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     }
 
     rope_corr_dims corr_dims;
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims.v);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims.v);
 
     // compute
-    if (is_glm) {
-        GGML_ASSERT(false);
-        rope_glm_f32_sycl(src0_dd, dst_dd, ne00, nrows, pos, freq_scale, ne01, freq_base, n_ctx, main_stream);
-    } else if (is_neox) {
+    if (is_neox) {
         if (src0->type == GGML_TYPE_F32) {
             rope_neox_sycl(
                 (const float *)src0_dd, (float *)dst_dd, ne00, n_dims, nrows, pos, freq_scale, ne01, freq_base, ext_factor,
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 5e12ea9dd..e0c512c0d 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -3898,11 +3898,6 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
         {
             const int mode = ((const int32_t *) dst->op_params)[2];
             const bool is_neox = mode & 2;
-            const bool is_glm  = mode & 4;
-
-            if (is_glm) {
-                return nullptr;
-            }
 
             if (is_neox) {
                 if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
@@ -4401,7 +4396,7 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, con
     const int n_dims        = ((int32_t *) dst->op_params)[1];
     const int mode          = ((int32_t *) dst->op_params)[2];
     // const int n_ctx         = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx    = ((int32_t *) dst->op_params)[4];
+    const int n_ctx_orig    = ((int32_t *) dst->op_params)[4];
     const float freq_base   = ((float *)   dst->op_params)[5];
     const float freq_scale  = ((float *)   dst->op_params)[6];
     const float ext_factor  = ((float *)   dst->op_params)[7];
@@ -4410,12 +4405,12 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, con
     const float beta_slow   = ((float *)   dst->op_params)[10];
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
 
-    GGML_ASSERT(!is_glm);
+#pragma message("TODO: update rope NORM mode to match NEOX mode")
+#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
 
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     if (is_neox) {
         const float theta_scale = powf(freq_base, -2.0f/n_dims);
@@ -6485,9 +6480,8 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         case GGML_OP_ROPE:
             {
                 const int mode = ((const int32_t *) op->op_params)[2];
-                const bool is_glm  = mode & 4;
 
-                return !is_glm;
+                return true;
             } break;
         case GGML_OP_NONE:
         case GGML_OP_RESHAPE:
@@ -6992,15 +6986,15 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
     } else if (tensor->op == GGML_OP_ROPE) {
         const int n_dims      = ((int32_t *) tensor->op_params)[1];
         const int mode        = ((int32_t *) tensor->op_params)[2];
-        const int n_ggml_ctx       = ((int32_t *) tensor->op_params)[3];
-        const int n_orig_ggml_ctx  = ((int32_t *) tensor->op_params)[4];
+        //const int n_ctx_ggml       = ((int32_t *) tensor->op_params)[3];
+        const int n_ctx_orig_ggml  = ((int32_t *) tensor->op_params)[4];
         float freq_base       = ((float *)   tensor->op_params)[5];
         float freq_scale      = ((float *)   tensor->op_params)[6];
         float ext_factor      = ((float *)   tensor->op_params)[7];
         float attn_factor     = ((float *)   tensor->op_params)[8];
         float beta_fast       = ((float *)   tensor->op_params)[9];
         float beta_slow       = ((float *)   tensor->op_params)[10];
-        tensor_clone = ggml_rope_ext(ggml_ctx, src0_clone, src1_clone, src2_clone, n_dims, mode, n_ggml_ctx, n_orig_ggml_ctx, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow);
+        tensor_clone = ggml_rope_ext(ggml_ctx, src0_clone, src1_clone, src2_clone, n_dims, mode, n_ctx_orig_ggml, freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow);
     } else if (tensor->op == GGML_OP_UNARY) {
         switch (ggml_get_unary_op(tensor)) {
         case GGML_UNARY_OP_SILU:
diff --git a/ggml.c b/ggml.c
index 11e5c34ab..1fc77743b 100644
--- a/ggml.c
+++ b/ggml.c
@@ -6250,16 +6250,13 @@ static struct ggml_tensor * ggml_rope_impl(
         struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
         float                 attn_factor,
         float                 beta_fast,
         float                 beta_slow,
-        float                 xpos_base,
-        bool                  xpos_down,
         bool                  inplace) {
     GGML_ASSERT((mode & 1) == 0 && "mode & 1 == 1 is no longer supported");
 
@@ -6280,15 +6277,13 @@ static struct ggml_tensor * ggml_rope_impl(
 
     struct ggml_tensor * result = inplace ? ggml_view_tensor(ctx, a) : ggml_dup_tensor(ctx, a);
 
-    int32_t params[13] = { /*n_past*/ 0, n_dims, mode, n_ctx, n_orig_ctx };
+    int32_t params[11] = { /*n_past*/ 0, n_dims, mode, /*n_ctx*/ 0, n_ctx_orig };
     memcpy(params +  5, &freq_base,    sizeof(float));
     memcpy(params +  6, &freq_scale,   sizeof(float));
     memcpy(params +  7, &ext_factor,   sizeof(float));
     memcpy(params +  8, &attn_factor,  sizeof(float));
     memcpy(params +  9, &beta_fast,    sizeof(float));
     memcpy(params + 10, &beta_slow,    sizeof(float));
-    memcpy(params + 11, &xpos_base,    sizeof(float));
-    memcpy(params + 12, &xpos_down,    sizeof(bool));
     ggml_set_op_params(result, params, sizeof(params));
 
     result->op   = GGML_OP_ROPE;
@@ -6305,10 +6300,9 @@ struct ggml_tensor * ggml_rope(
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
         int                   n_dims,
-        int                   mode,
-        int                   n_ctx) {
+        int                   mode) {
     return ggml_rope_impl(
-        ctx, a, b, NULL, n_dims, mode, n_ctx, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, false, false
+        ctx, a, b, NULL, n_dims, mode, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, false
     );
 }
 
@@ -6317,10 +6311,9 @@ struct ggml_tensor * ggml_rope_inplace(
         struct ggml_tensor  * a,
         struct ggml_tensor  * b,
         int                   n_dims,
-        int                   mode,
-        int                   n_ctx) {
+        int                   mode) {
     return ggml_rope_impl(
-        ctx, a, b, NULL, n_dims, mode, n_ctx, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, 0.0f, false, true
+        ctx, a, b, NULL, n_dims, mode, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, true
     );
 }
 
@@ -6331,8 +6324,7 @@ struct ggml_tensor * ggml_rope_ext(
         struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -6340,8 +6332,8 @@ struct ggml_tensor * ggml_rope_ext(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, c, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, false
+        ctx, a, b, c, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, false
     );
 }
 
@@ -6352,8 +6344,7 @@ struct ggml_tensor * ggml_rope_ext_inplace(
         struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -6361,8 +6352,8 @@ struct ggml_tensor * ggml_rope_ext_inplace(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, c, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, true
+        ctx, a, b, c, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, true
     );
 }
 
@@ -6372,8 +6363,7 @@ struct ggml_tensor * ggml_rope_custom(
         struct ggml_tensor  * b,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -6381,8 +6371,8 @@ struct ggml_tensor * ggml_rope_custom(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, NULL, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, false
+        ctx, a, b, NULL, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, false
     );
 }
 
@@ -6392,8 +6382,7 @@ struct ggml_tensor * ggml_rope_custom_inplace(
         struct ggml_tensor  * b,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
@@ -6401,21 +6390,11 @@ struct ggml_tensor * ggml_rope_custom_inplace(
         float                 beta_fast,
         float                 beta_slow) {
     return ggml_rope_impl(
-        ctx, a, b, NULL, n_dims, mode, n_ctx, n_orig_ctx, freq_base, freq_scale,
-        ext_factor, attn_factor, beta_fast, beta_slow, 0.0f, false, true
+        ctx, a, b, NULL, n_dims, mode, n_ctx_orig, freq_base, freq_scale,
+        ext_factor, attn_factor, beta_fast, beta_slow, true
     );
 }
 
-struct ggml_tensor * ggml_rope_xpos_inplace(
-        struct ggml_context * ctx,
-        struct ggml_tensor  * a,
-        struct ggml_tensor  * b,
-        int                   n_dims,
-        float                 base,
-        bool                  down) {
-    return ggml_rope_impl(ctx, a, b, NULL, n_dims, 0, 0, 0, 10000.0f, 1.0f, 0.0f, 1.0f, 0.0f, 0.0f, base, down, true);
-}
-
 // ggml_rope_back
 
 struct ggml_tensor * ggml_rope_back(
@@ -6425,16 +6404,13 @@ struct ggml_tensor * ggml_rope_back(
         struct ggml_tensor  * c,
         int                   n_dims,
         int                   mode,
-        int                   n_ctx,
-        int                   n_orig_ctx,
+        int                   n_ctx_orig,
         float                 freq_base,
         float                 freq_scale,
         float                 ext_factor,
         float                 attn_factor,
         float                 beta_fast,
-        float                 beta_slow,
-        float                 xpos_base,
-        bool                  xpos_down) {
+        float                 beta_slow) {
     GGML_ASSERT(ggml_is_vector(b));
     GGML_ASSERT(b->type == GGML_TYPE_I32);
     GGML_ASSERT(a->ne[2] == b->ne[0]);
@@ -6450,15 +6426,13 @@ struct ggml_tensor * ggml_rope_back(
 
     struct ggml_tensor * result = ggml_dup_tensor(ctx, a);
 
-    int32_t params[13] = { /*n_past*/ 0, n_dims, mode, n_ctx, n_orig_ctx };
+    int32_t params[11] = { /*n_past*/ 0, n_dims, mode, /*n_ctx*/ 0, n_ctx_orig };
     memcpy(params +  5, &freq_base,    sizeof(float));
     memcpy(params +  6, &freq_scale,   sizeof(float));
     memcpy(params +  7, &ext_factor,   sizeof(float));
     memcpy(params +  8, &attn_factor,  sizeof(float));
     memcpy(params +  9, &beta_fast,    sizeof(float));
     memcpy(params + 10, &beta_slow,    sizeof(float));
-    memcpy(params + 11, &xpos_base,    sizeof(float));
-    memcpy(params + 12, &xpos_down,    sizeof(bool));
     ggml_set_op_params(result, params, sizeof(params));
 
     result->op   = GGML_OP_ROPE_BACK;
@@ -14227,8 +14201,7 @@ static float rope_yarn_ramp(const float low, const float high, const int i0) {
 // MIT licensed. Copyright (c) 2023 Jeffrey Quesnelle and Bowen Peng.
 static void rope_yarn(
     float theta_extrap, float freq_scale, float corr_dims[2], int64_t i0, float ext_factor, float mscale,
-    float * cos_theta, float * sin_theta
-) {
+    float * cos_theta, float * sin_theta) {
     // Get n-d rotational scaling corrected for extrapolation
     float theta_interp = freq_scale * theta_extrap;
     float theta = theta_interp;
@@ -14245,18 +14218,19 @@ static void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_dim(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-static float ggml_rope_yarn_corr_dim(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * logf(n_orig_ctx / (n_rot * 2 * (float)M_PI)) / (2 * logf(base));
+static float ggml_rope_yarn_corr_dim(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * logf(n_ctx_orig / (n_rot * 2 * (float)M_PI)) / (2 * logf(base));
 }
 
 static void ggml_rope_cache_init(
-     float theta_base, float freq_scale, float corr_dims[2], int64_t ne0, float ext_factor, float mscale,
-     float * cache, float sin_sign, float theta_scale
-) {
+     float theta_base, float freq_scale, const float * freq_factors, float corr_dims[2], int64_t ne0, float ext_factor, float mscale,
+     float * cache, float sin_sign, float theta_scale) {
+    // ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
     float theta = theta_base;
     for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+        const float ff = freq_factors ? freq_factors[i0/2] : 1.0f;
         rope_yarn(
-            theta, freq_scale, corr_dims, i0, ext_factor, mscale, &cache[i0 + 0], &cache[i0 + 1]
+            theta/ff, freq_scale, corr_dims, i0, ext_factor, mscale, &cache[i0 + 0], &cache[i0 + 1]
         );
         cache[i0 + 1] *= sin_sign;
 
@@ -14265,11 +14239,11 @@ static void ggml_rope_cache_init(
 }
 
 GGML_CALL void ggml_rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]
 ) {
     // start and end correction dims
-    float start = floorf(ggml_rope_yarn_corr_dim(n_dims, n_orig_ctx, beta_fast, freq_base));
-    float end   =  ceilf(ggml_rope_yarn_corr_dim(n_dims, n_orig_ctx, beta_slow, freq_base));
+    float start = floorf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_fast, freq_base));
+    float end   =  ceilf(ggml_rope_yarn_corr_dim(n_dims, n_ctx_orig, beta_slow, freq_base));
     dims[0] = MAX(0, start);
     dims[1] = MIN(n_dims - 1, end);
 }
@@ -14289,15 +14263,11 @@ static void ggml_compute_forward_rope_f32(
 
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
-    // these two only relevant for xPos RoPE:
-    float xpos_base;
-    bool  xpos_down;
-
     //const int n_past     = ((int32_t *) dst->op_params)[0];
     const int n_dims     = ((int32_t *) dst->op_params)[1];
     const int mode       = ((int32_t *) dst->op_params)[2];
-    const int n_ctx      = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
 
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
@@ -14305,8 +14275,6 @@ static void ggml_compute_forward_rope_f32(
     memcpy(&attn_factor, (int32_t *) dst->op_params +  8, sizeof(float));
     memcpy(&beta_fast,   (int32_t *) dst->op_params +  9, sizeof(float));
     memcpy(&beta_slow,   (int32_t *) dst->op_params + 10, sizeof(float));
-    memcpy(&xpos_base,   (int32_t *) dst->op_params + 11, sizeof(float));
-    memcpy(&xpos_down,   (int32_t *) dst->op_params + 12, sizeof(bool));
 
     GGML_TENSOR_UNARY_OP_LOCALS
 
@@ -14336,20 +14304,15 @@ static void ggml_compute_forward_rope_f32(
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
 
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
 
     const float * freq_factors = NULL;
-    if (is_neox) {
-        if (src2 != NULL) {
-            GGML_ASSERT(src2->type == GGML_TYPE_F32);
-            GGML_ASSERT(src2->ne[0] >= n_dims / 2);
-            freq_factors = (const float *) src2->data;
-        }
-    } else {
-        GGML_ASSERT(src2 == NULL && "TODO: freq_factors not implemented for !is_neox");
+    if (src2 != NULL) {
+        GGML_ASSERT(src2->type == GGML_TYPE_F32);
+        GGML_ASSERT(src2->ne[0] >= n_dims / 2);
+        freq_factors = (const float *) src2->data;
     }
 
     // backward process uses inverse rotation by cos and sin.
@@ -14364,95 +14327,51 @@ static void ggml_compute_forward_rope_f32(
             const int64_t p = pos[i2];
 
             float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
-            if (!is_glm && !is_neox) { // TODO: cache sin/cos for glm, neox
-                ggml_rope_cache_init(p, freq_scale, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
+            ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
 
             for (int64_t i1 = 0; i1 < ne1; i1++) {
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta_base = (float)p;
-
-                if (is_glm) {
-                    theta_base = MIN(p, n_ctx - 2);
-                    float block_theta = MAX(p - (n_ctx - 2), 0);
-                    for (int64_t i0 = 0; i0 < ne0 / 4; i0++) {
-                        const float cos_theta = cosf(theta_base);
-                        const float sin_theta = sinf(theta_base) * sin_sign;
-                        const float cos_block_theta = cosf(block_theta);
-                        const float sin_block_theta = sinf(block_theta) * sin_sign;
-
-                        theta_base  *= theta_scale;
-                        block_theta *= theta_scale;
-
-                        const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                              float * dst_data  = (float *)((char *)  dst->data +  i3*nb3 + i2*nb2  + i1*nb1  + i0*nb0);
-
-                        const float x0 = src[0];
-                        const float x1 = src[n_dims/2];
-                        const float x2 = src[n_dims];
-                        const float x3 = src[n_dims/2*3];
-
-                        dst_data[0]          = x0*cos_theta - x1*sin_theta;
-                        dst_data[n_dims/2]   = x0*sin_theta + x1*cos_theta;
-                        dst_data[n_dims]     = x2*cos_block_theta - x3*sin_block_theta;
-                        dst_data[n_dims/2*3] = x2*sin_block_theta + x3*cos_block_theta;
-                    }
-                } else if (!is_neox) {
-                    for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+                if (!is_neox) {
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
                         const float cos_theta = cache[i0 + 0];
                         const float sin_theta = cache[i0 + 1];
 
-                        // zeta scaling for xPos only:
-                        float zeta = xpos_base != 0.0f ? powf((i0 + 0.4f * ne0) / (1.4f * ne0), p / xpos_base) : 1.0f;
-                        if (xpos_down) zeta = 1.0f / zeta;
-
                         const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
                               float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
 
                         const float x0 = src[0];
                         const float x1 = src[1];
 
-                        dst_data[0] = x0*cos_theta*zeta - x1*sin_theta*zeta;
-                        dst_data[1] = x0*sin_theta*zeta + x1*cos_theta*zeta;
+                        dst_data[0] = x0*cos_theta - x1*sin_theta;
+                        dst_data[1] = x0*sin_theta + x1*cos_theta;
                     }
                 } else {
-                    // ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
-                    for (int64_t ic = 0; ic < ne0; ic += 2) {
-                        if (ic < n_dims) {
-                            const int64_t i0 = ic/2;
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
+                        const int64_t ic = i0/2;
 
-                            const float freq_factor = freq_factors ? freq_factors[i0] : 1.0f;
+                        const float cos_theta = cache[i0 + 0];
+                        const float sin_theta = cache[i0 + 1];
 
-                            float cos_theta, sin_theta;
-                            rope_yarn(
-                                theta_base/freq_factor, freq_scale, corr_dims, ic, ext_factor, attn_factor,
-                                &cos_theta, &sin_theta
-                            );
+                        const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+                        float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
 
-                            sin_theta  *= sin_sign;
-                            theta_base *= theta_scale;
+                        const float x0 = src[0];
+                        const float x1 = src[n_dims/2];
 
-                            const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            const float x0 = src[0];
-                            const float x1 = src[n_dims/2];
-
-                            dst_data[0]        = x0*cos_theta - x1*sin_theta;
-                            dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
-                        } else {
-                            const int64_t i0 = ic;
-
-                            const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            dst_data[0] = src[0];
-                            dst_data[1] = src[1];
-                        }
+                        dst_data[0]        = x0*cos_theta - x1*sin_theta;
+                        dst_data[n_dims/2] = x0*sin_theta + x1*cos_theta;
                     }
                 }
+
+                for (int64_t i0 = n_dims; i0 < ne0; i0 += 2) {
+                    const float * const src = (float *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+                    float * dst_data  = (float *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+                    dst_data[0] = src[0];
+                    dst_data[1] = src[1];
+                }
             }
         }
     }
@@ -14477,8 +14396,8 @@ static void ggml_compute_forward_rope_f16(
     //const int n_past     = ((int32_t *) dst->op_params)[0];
     const int n_dims     = ((int32_t *) dst->op_params)[1];
     const int mode       = ((int32_t *) dst->op_params)[2];
-    const int n_ctx      = ((int32_t *) dst->op_params)[3];
-    const int n_orig_ctx = ((int32_t *) dst->op_params)[4];
+    //const int n_ctx      = ((int32_t *) dst->op_params)[3];
+    const int n_ctx_orig = ((int32_t *) dst->op_params)[4];
     memcpy(&freq_base,   (int32_t *) dst->op_params +  5, sizeof(float));
     memcpy(&freq_scale,  (int32_t *) dst->op_params +  6, sizeof(float));
     memcpy(&ext_factor,  (int32_t *) dst->op_params +  7, sizeof(float));
@@ -14514,20 +14433,15 @@ static void ggml_compute_forward_rope_f16(
     const float theta_scale = powf(freq_base, -2.0f/n_dims);
 
     float corr_dims[2];
-    ggml_rope_yarn_corr_dims(n_dims, n_orig_ctx, freq_base, beta_fast, beta_slow, corr_dims);
+    ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
     const bool is_neox = mode & 2;
-    const bool is_glm  = mode & 4;
 
     const float * freq_factors = NULL;
-    if (is_neox) {
-        if (src2 != NULL) {
-            GGML_ASSERT(src2->type == GGML_TYPE_F32);
-            GGML_ASSERT(src2->ne[0] >= n_dims / 2);
-            freq_factors = (const float *) src2->data;
-        }
-    } else {
-        GGML_ASSERT(src2 == NULL && "TODO: freq_factors not implemented for !is_neox");
+    if (src2 != NULL) {
+        GGML_ASSERT(src2->type == GGML_TYPE_F32);
+        GGML_ASSERT(src2->ne[0] >= n_dims / 2);
+        freq_factors = (const float *) src2->data;
     }
 
     // backward process uses inverse rotation by cos and sin.
@@ -14542,43 +14456,14 @@ static void ggml_compute_forward_rope_f16(
             const int64_t p = pos[i2];
 
             float * cache = (float *) params->wdata + (ne0 + CACHE_LINE_SIZE_F32)*ith;
-            if (!is_glm && !is_neox) { // TODO: cache sin/cos for glm, neox
-                ggml_rope_cache_init(p, freq_scale, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
-            }
+            ggml_rope_cache_init(p, freq_scale, freq_factors, corr_dims, ne0, ext_factor, attn_factor, cache, sin_sign, theta_scale);
 
             for (int64_t i1 = 0; i1 < ne1; i1++) {
                 if (ir++ < ir0) continue;
                 if (ir   > ir1) break;
 
-                float theta_base = (float)p;
-
-                if (is_glm) {
-                    theta_base = MIN(p, n_ctx - 2);
-                    float block_theta = MAX(p - (n_ctx - 2), 0);
-                    for (int64_t i0 = 0; i0 < ne0 / 4; i0++) {
-                        const float cos_theta = cosf(theta_base);
-                        const float sin_theta = sinf(theta_base) * sin_sign;
-                        const float cos_block_theta = cosf(block_theta);
-                        const float sin_block_theta = sinf(block_theta) * sin_sign;
-
-                        theta_base  *= theta_scale;
-                        block_theta *= theta_scale;
-
-                        const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                              ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data +  i3*nb3 + i2*nb2  + i1*nb1  + i0*nb0);
-
-                        const float x0 = GGML_FP16_TO_FP32(src[0]);
-                        const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
-                        const float x2 = GGML_FP16_TO_FP32(src[n_dims]);
-                        const float x3 = GGML_FP16_TO_FP32(src[n_dims/2*3]);
-
-                        dst_data[0]          = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
-                        dst_data[n_dims/2]   = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
-                        dst_data[n_dims]     = GGML_FP32_TO_FP16(x2*cos_block_theta - x3*sin_block_theta);
-                        dst_data[n_dims/2*3] = GGML_FP32_TO_FP16(x2*sin_block_theta + x3*cos_block_theta);
-                    }
-                } else if (!is_neox) {
-                    for (int64_t i0 = 0; i0 < ne0; i0 += 2) {
+                if (!is_neox) {
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
                         const float cos_theta = cache[i0 + 0];
                         const float sin_theta = cache[i0 + 1];
 
@@ -14592,41 +14477,30 @@ static void ggml_compute_forward_rope_f16(
                         dst_data[1] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
                     }
                 } else {
-                    // ref: https://github.com/jquesnelle/yarn/blob/master/scaled_rope/LlamaYaRNScaledRotaryEmbedding.py
-                    for (int64_t ic = 0; ic < ne0; ic += 2) {
-                        if (ic < n_dims) {
-                            const int64_t i0 = ic/2;
+                    for (int64_t i0 = 0; i0 < n_dims; i0 += 2) {
+                        const int64_t ic = i0/2;
 
-                            const float freq_factor = freq_factors ? freq_factors[i0] : 1.0f;
+                        const float cos_theta = cache[i0 + 0];
+                        const float sin_theta = cache[i0 + 1];
 
-                            float cos_theta, sin_theta;
-                            rope_yarn(
-                                theta_base/freq_factor, freq_scale, corr_dims, ic, ext_factor, attn_factor,
-                                &cos_theta, &sin_theta
-                            );
+                        const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + ic*nb00);
+                        ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + ic*nb0);
 
-                            sin_theta  *= sin_sign;
-                            theta_base *= theta_scale;
+                        const float x0 = GGML_FP16_TO_FP32(src[0]);
+                        const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
 
-                            const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            const float x0 = GGML_FP16_TO_FP32(src[0]);
-                            const float x1 = GGML_FP16_TO_FP32(src[n_dims/2]);
-
-                            dst_data[0]        = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
-                            dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
-                        } else {
-                            const int64_t i0 = ic;
-
-                            const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
-                                  ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
-
-                            dst_data[0] = src[0];
-                            dst_data[1] = src[1];
-                        }
+                        dst_data[0]        = GGML_FP32_TO_FP16(x0*cos_theta - x1*sin_theta);
+                        dst_data[n_dims/2] = GGML_FP32_TO_FP16(x0*sin_theta + x1*cos_theta);
                     }
                 }
+
+                for (int64_t i0 = n_dims; i0 < ne0; i0 += 2) {
+                    const ggml_fp16_t * const src = (ggml_fp16_t *)((char *) src0->data + i3*nb03 + i2*nb02 + i1*nb01 + i0*nb00);
+                    ggml_fp16_t * dst_data  = (ggml_fp16_t *)((char *)  dst->data + i3*nb3  + i2*nb2  + i1*nb1  + i0*nb0);
+
+                    dst_data[0] = src[0];
+                    dst_data[1] = src[1];
+                }
             }
         }
     }
@@ -18327,9 +18201,9 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     //const int n_past = ((int32_t *) tensor->op_params)[0];
                     const int n_dims     = ((int32_t *) tensor->op_params)[1];
                     const int mode       = ((int32_t *) tensor->op_params)[2];
-                    const int n_ctx      = ((int32_t *) tensor->op_params)[3];
-                    const int n_orig_ctx = ((int32_t *) tensor->op_params)[4];
-                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow, xpos_base, xpos_down;
+                    //const int n_ctx      = ((int32_t *) tensor->op_params)[3];
+                    const int n_ctx_orig = ((int32_t *) tensor->op_params)[4];
+                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
                     memcpy(&freq_base,   (int32_t *) tensor->op_params +  5, sizeof(float));
                     memcpy(&freq_scale,  (int32_t *) tensor->op_params +  6, sizeof(float));
@@ -18337,8 +18211,6 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     memcpy(&attn_factor, (int32_t *) tensor->op_params +  8, sizeof(float));
                     memcpy(&beta_fast,   (int32_t *) tensor->op_params +  9, sizeof(float));
                     memcpy(&beta_slow,   (int32_t *) tensor->op_params + 10, sizeof(float));
-                    memcpy(&xpos_base,   (int32_t *) tensor->op_params + 11, sizeof(float));
-                    memcpy(&xpos_down,   (int32_t *) tensor->op_params + 12, sizeof(bool));
 
                     src0->grad = ggml_add_or_set(ctx,
                             src0->grad,
@@ -18348,16 +18220,13 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                                 src2,
                                 n_dims,
                                 mode,
-                                n_ctx,
-                                n_orig_ctx,
+                                n_ctx_orig,
                                 freq_base,
                                 freq_scale,
                                 ext_factor,
                                 attn_factor,
                                 beta_fast,
-                                beta_slow,
-                                xpos_base,
-                                xpos_down),
+                                beta_slow),
                             zero_table);
                 }
             } break;
@@ -18367,9 +18236,9 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     //const int n_past = ((int32_t *) tensor->op_params)[0];
                     const int n_dims     = ((int32_t *) tensor->op_params)[1];
                     const int mode       = ((int32_t *) tensor->op_params)[2];
-                    const int n_ctx      = ((int32_t *) tensor->op_params)[3];
-                    const int n_orig_ctx = ((int32_t *) tensor->op_params)[4];
-                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow, xpos_base, xpos_down;
+                    //const int n_ctx      = ((int32_t *) tensor->op_params)[3];
+                    const int n_ctx_orig = ((int32_t *) tensor->op_params)[4];
+                    float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
                     memcpy(&freq_base,   (int32_t *) tensor->op_params +  5, sizeof(float));
                     memcpy(&freq_scale,  (int32_t *) tensor->op_params +  6, sizeof(float));
@@ -18377,8 +18246,6 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                     memcpy(&attn_factor, (int32_t *) tensor->op_params +  8, sizeof(float));
                     memcpy(&beta_fast,   (int32_t *) tensor->op_params +  9, sizeof(float));
                     memcpy(&beta_slow,   (int32_t *) tensor->op_params + 10, sizeof(float));
-                    memcpy(&xpos_base,   (int32_t *) tensor->op_params + 11, sizeof(float));
-                    memcpy(&xpos_down,   (int32_t *) tensor->op_params + 12, sizeof(bool));
 
                     src0->grad = ggml_add_or_set(ctx,
                             src0->grad,
@@ -18388,16 +18255,13 @@ static void ggml_compute_backward(struct ggml_context * ctx, struct ggml_tensor
                                 src2,
                                 n_dims,
                                 mode,
-                                n_ctx,
-                                n_orig_ctx,
+                                n_ctx_orig,
                                 freq_base,
                                 freq_scale,
                                 ext_factor,
                                 attn_factor,
                                 beta_fast,
                                 beta_slow,
-                                xpos_base,
-                                xpos_down,
                                 false),
                             zero_table);
                 }
diff --git a/ggml.h b/ggml.h
index addcf1bfe..13502a362 100644
--- a/ggml.h
+++ b/ggml.h
@@ -1465,7 +1465,6 @@ extern "C" {
     // rotary position embedding
     // if mode & 1 == 1, skip n_past elements (NOT SUPPORTED)
     // if mode & 2 == 1, GPT-NeoX style
-    // if mode & 4 == 1, ChatGLM style
     //
     // b is an int32 vector with size a->ne[2], it contains the positions
     // c is freq factors (e.g. phi3-128k), (optional)
@@ -1474,8 +1473,7 @@ extern "C" {
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
             int                   n_dims,
-            int                   mode,
-            int                   n_ctx);
+            int                   mode);
 
     // in-place, returns view(a)
     GGML_API struct ggml_tensor * ggml_rope_inplace(
@@ -1483,8 +1481,7 @@ extern "C" {
             struct ggml_tensor  * a,
             struct ggml_tensor  * b,
             int                   n_dims,
-            int                   mode,
-            int                   n_ctx);
+            int                   mode);
 
     // custom RoPE
     GGML_API struct ggml_tensor * ggml_rope_ext(
@@ -1494,8 +1491,7 @@ extern "C" {
             struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1511,8 +1507,7 @@ extern "C" {
             struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1526,8 +1521,7 @@ extern "C" {
             struct ggml_tensor  * b,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1542,8 +1536,7 @@ extern "C" {
             struct ggml_tensor  * b,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
@@ -1552,17 +1545,9 @@ extern "C" {
             float                 beta_slow),
         "use ggml_rope_ext_inplace instead");
 
-    struct ggml_tensor * ggml_rope_xpos_inplace(
-        struct ggml_context * ctx,
-        struct ggml_tensor  * a,
-        struct ggml_tensor  * b,
-        int                   n_dims,
-        float                 base,
-        bool                  down);
-
     // compute correction dims for YaRN RoPE scaling
     GGML_CALL void ggml_rope_yarn_corr_dims(
-        int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, float dims[2]);
+        int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, float dims[2]);
 
     // rotary position embedding backward, i.e compute dx from dy
     // a - dy
@@ -1573,16 +1558,13 @@ extern "C" {
             struct ggml_tensor  * c,
             int                   n_dims,
             int                   mode,
-            int                   n_ctx,
-            int                   n_orig_ctx,
+            int                   n_ctx_orig,
             float                 freq_base,
             float                 freq_scale,
             float                 ext_factor,
             float                 attn_factor,
             float                 beta_fast,
-            float                 beta_slow,
-            float                 xpos_base,
-            bool                  xpos_down);
+            float                 beta_slow);
 
     // clamp
     // in-place, returns view(a)
diff --git a/kompute-shaders/op_rope_f16.comp b/kompute-shaders/op_rope_f16.comp
index b44622584..1a4058b3f 100644
--- a/kompute-shaders/op_rope_f16.comp
+++ b/kompute-shaders/op_rope_f16.comp
@@ -14,7 +14,7 @@ void main() {
     const bool is_neox = (pcs.mode & 2) != 0;
 
     float corr_dims[2];
-    rope_yarn_corr_dims(pcs.n_dims, pcs.n_orig_ctx, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
+    rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
 
     const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
 
diff --git a/kompute-shaders/op_rope_f32.comp b/kompute-shaders/op_rope_f32.comp
index 2c0235d75..65e03827a 100644
--- a/kompute-shaders/op_rope_f32.comp
+++ b/kompute-shaders/op_rope_f32.comp
@@ -14,7 +14,7 @@ void main() {
     const bool is_neox = (pcs.mode & 2) != 0;
 
     float corr_dims[2];
-    rope_yarn_corr_dims(pcs.n_dims, pcs.n_orig_ctx, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
+    rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
 
     const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
 
diff --git a/kompute-shaders/rope_common.comp b/kompute-shaders/rope_common.comp
index 57ba6597a..7b9394cb2 100644
--- a/kompute-shaders/rope_common.comp
+++ b/kompute-shaders/rope_common.comp
@@ -9,7 +9,7 @@ layout (push_constant) uniform parameter {
     uint outOff;
     int n_dims;
     int mode;
-    int n_orig_ctx;
+    int n_ctx_orig;
     float freq_base;
     float freq_scale;
     float ext_factor;
@@ -54,14 +54,14 @@ void rope_yarn(
 
 // Apparently solving `n_rot = 2pi * x * base^((2 * max_pos_emb) / n_dims)` for x, we get
 // `corr_fac(n_rot) = n_dims * log(max_pos_emb / (n_rot * 2pi)) / (2 * log(base))`
-float rope_yarn_corr_factor(int n_dims, int n_orig_ctx, float n_rot, float base) {
-    return n_dims * log(n_orig_ctx / (n_rot * TWOPI_F)) / (2 * log(base));
+float rope_yarn_corr_factor(int n_dims, int n_ctx_orig, float n_rot, float base) {
+    return n_dims * log(n_ctx_orig / (n_rot * TWOPI_F)) / (2 * log(base));
 }
 
 void rope_yarn_corr_dims(
-    int n_dims, int n_orig_ctx, float freq_base, float beta_fast, float beta_slow, out float dims[2]
+    int n_dims, int n_ctx_orig, float freq_base, float beta_fast, float beta_slow, out float dims[2]
 ) {
     // start and end correction dims
-    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_fast, freq_base)));
-    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_orig_ctx, beta_slow, freq_base)));
+    dims[0] = max(0.0f,         floor(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_fast, freq_base)));
+    dims[1] = min(n_dims - 1.0f, ceil(rope_yarn_corr_factor(n_dims, n_ctx_orig, beta_slow, freq_base)));
 }
diff --git a/llama.cpp b/llama.cpp
index 06889126e..414d390e8 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -1848,7 +1848,7 @@ struct llama_hparams {
     float    rope_attn_factor = 1.0f;
     float    rope_freq_base_train;
     float    rope_freq_scale_train;
-    uint32_t n_yarn_orig_ctx;
+    uint32_t n_ctx_orig_yarn;
     float    rope_yarn_log_mul;
 
     // for State Space Models
@@ -1890,7 +1890,7 @@ struct llama_hparams {
         if (this->n_expert_shared    != other.n_expert_shared)    return true;
 
         if (this->rope_finetuned  != other.rope_finetuned)  return true;
-        if (this->n_yarn_orig_ctx != other.n_yarn_orig_ctx) return true;
+        if (this->n_ctx_orig_yarn != other.n_ctx_orig_yarn) return true;
 
         if (this->ssm_d_conv  != other.ssm_d_conv)  return true;
         if (this->ssm_d_inner != other.ssm_d_inner) return true;
@@ -1949,7 +1949,7 @@ struct llama_cparams {
     float rope_freq_base;
     float rope_freq_scale;
 
-    uint32_t n_yarn_orig_ctx;
+    uint32_t n_ctx_orig_yarn;
     // These hyperparameters are not exposed in GGUF, because all
     // existing YaRN models use the same values for them.
     float yarn_ext_factor;
@@ -4005,8 +4005,8 @@ static void llm_load_hparams(
     ml.get_key(LLM_KV_ROPE_SCALING_FINETUNED, rope_finetuned, false);
     hparams.rope_finetuned = rope_finetuned;
 
-    hparams.n_yarn_orig_ctx = hparams.n_ctx_train;
-    ml.get_key(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, hparams.n_yarn_orig_ctx, false);
+    hparams.n_ctx_orig_yarn = hparams.n_ctx_train;
+    ml.get_key(LLM_KV_ROPE_SCALING_ORIG_CTX_LEN, hparams.n_ctx_orig_yarn, false);
 
     // rope_freq_base (optional)
     hparams.rope_freq_base_train = 10000.0f;
@@ -4968,7 +4968,7 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
     LLAMA_LOG_INFO("%s: rope scaling     = %s\n",     __func__, rope_scaling_type);
     LLAMA_LOG_INFO("%s: freq_base_train  = %.1f\n",   __func__, hparams.rope_freq_base_train);
     LLAMA_LOG_INFO("%s: freq_scale_train = %g\n",     __func__, hparams.rope_freq_scale_train);
-    LLAMA_LOG_INFO("%s: n_yarn_orig_ctx  = %u\n",     __func__, hparams.n_yarn_orig_ctx);
+    LLAMA_LOG_INFO("%s: n_ctx_orig_yarn  = %u\n",     __func__, hparams.n_ctx_orig_yarn);
     LLAMA_LOG_INFO("%s: rope_finetuned   = %s\n",     __func__, hparams.rope_finetuned ? "yes" : "unknown");
     LLAMA_LOG_INFO("%s: ssm_d_conv       = %u\n",     __func__, hparams.ssm_d_conv);
     LLAMA_LOG_INFO("%s: ssm_d_inner      = %u\n",     __func__, hparams.ssm_d_inner);
@@ -7134,7 +7134,7 @@ struct llm_build_context {
     const int32_t n_kv;     // size of KV cache to consider (n_kv <= kv_self.size)
     const int32_t n_outputs;
     const int32_t kv_head;  // index of where we store new KV data in the cache
-    const int32_t n_orig_ctx;
+    const int32_t n_ctx_orig;
 
     const bool flash_attn;
 
@@ -7183,7 +7183,7 @@ struct llm_build_context {
         n_kv             (worst_case ? kv_self.size : kv_self.n),
         n_outputs        (worst_case ? n_tokens : lctx.n_outputs),
         kv_head          (worst_case ? (kv_self.recurrent ? 0 : kv_self.size - n_tokens) : kv_self.head),
-        n_orig_ctx       (cparams.n_yarn_orig_ctx),
+        n_ctx_orig       (cparams.n_ctx_orig_yarn),
         flash_attn       (cparams.flash_attn),
         pooling_type     (cparams.pooling_type),
         rope_type        (hparams.rope_type),
@@ -7241,7 +7241,7 @@ struct llm_build_context {
                             ggml_row_size(kv_self.k_l[il]->type, n_embd_head_k),
                             ggml_row_size(kv_self.k_l[il]->type, n_embd_k_gqa),
                             0),
-                        lctx.inp_K_shift, rope_factors, n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        lctx.inp_K_shift, rope_factors, n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
 
             cb(tmp, "K_shifted", il);
@@ -7350,7 +7350,7 @@ struct llm_build_context {
         // choose long/short freq factors based on the context size
         const auto n_ctx_pre_seq = cparams.n_ctx / cparams.n_seq_max;
 
-        if (n_ctx_pre_seq > hparams.n_yarn_orig_ctx) {
+        if (n_ctx_pre_seq > hparams.n_ctx_orig_yarn) {
             return model.layers[il].rope_long;
         }
 
@@ -7466,14 +7466,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7597,12 +7597,12 @@ struct llm_build_context {
                     case MODEL_7B:
                         Qcur = ggml_rope_ext(
                             ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                            n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                             ext_factor, attn_factor, beta_fast, beta_slow
                         );
                         Kcur = ggml_rope_ext(
                             ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                            n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                            n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                             ext_factor, attn_factor, beta_fast, beta_slow
                         );
                         break;
@@ -7709,14 +7709,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7829,13 +7829,13 @@ struct llm_build_context {
 
                 // using mode = 2 for neox mode
                 Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
-                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -7953,14 +7953,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8106,14 +8106,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8460,14 +8460,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -8900,14 +8900,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, Qcur, inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, Kcur, inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9019,13 +9019,13 @@ struct llm_build_context {
 
                 // using mode = 2 for neox mode
                 Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
-                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9131,14 +9131,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9245,14 +9245,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9397,7 +9397,7 @@ struct llm_build_context {
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
                 Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Qcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
@@ -9408,7 +9408,7 @@ struct llm_build_context {
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
-                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Kcur, inp_pos, nullptr, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9519,7 +9519,7 @@ struct llm_build_context {
                 Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
 
                 Qcur = ggml_rope_ext(
-                    ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Qcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
@@ -9528,7 +9528,7 @@ struct llm_build_context {
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
-                    ctx0, Kcur, inp_pos, rope_factors, n_rot, rope_type, 0, n_orig_ctx,
+                    ctx0, Kcur, inp_pos, rope_factors, n_rot, rope_type, n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9636,13 +9636,13 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                         ctx0, ggml_reshape_3d(ctx0, Qcur, n_rot, n_head,    n_tokens), inp_pos, nullptr,
-                        n_embd_head, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        n_embd_head, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                         ctx0, ggml_reshape_3d(ctx0, Kcur, n_rot, n_head_kv, n_tokens), inp_pos, nullptr,
-                        n_embd_head, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        n_embd_head, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Kcur, "Kcur", il);
 
@@ -9844,14 +9844,14 @@ struct llm_build_context {
 
                 struct ggml_tensor * Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, tmpq, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 struct ggml_tensor * Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, tmpk, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -9960,14 +9960,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10077,14 +10077,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10207,14 +10207,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head,    n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10327,7 +10327,7 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                         ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head_k, n_head,    n_tokens), inp_pos, nullptr,
-                        n_embd_head_k, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        n_embd_head_k, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Qcur, "Qcur", il);
 
@@ -10336,7 +10336,7 @@ struct llm_build_context {
 
                 Kcur = ggml_rope_ext(
                         ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head_k, n_head_kv, n_tokens), inp_pos, nullptr,
-                        n_embd_head_k, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                        n_embd_head_k, rope_type, n_ctx_orig, freq_base, freq_scale,
                         ext_factor, attn_factor, beta_fast, beta_slow);
                 cb(Kcur, "Kcur", il);
 
@@ -10447,14 +10447,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10737,14 +10737,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10868,14 +10868,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -10982,14 +10982,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -11117,14 +11117,14 @@ struct llm_build_context {
 
                 Qcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Qcur, "Qcur", il);
 
                 Kcur = ggml_rope_ext(
                     ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
                 cb(Kcur, "Kcur", il);
@@ -11334,7 +11334,7 @@ struct llm_build_context {
                 q_pe = ggml_cont(ctx0, q_pe); // TODO: the CUDA backend does not support non-contiguous RoPE
                 q_pe = ggml_rope_ext(
                     ctx0, q_pe, inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor_scaled, beta_fast, beta_slow
                 );
                 cb(q_pe, "q_pe", il);
@@ -11343,7 +11343,7 @@ struct llm_build_context {
                 k_pe = ggml_cont(ctx0, k_pe); // TODO: the CUDA backend does not support non-contiguous RoPE
                 k_pe = ggml_rope_ext(
                     ctx0, k_pe, inp_pos, nullptr,
-                    n_rot, rope_type, 0, n_orig_ctx, freq_base, freq_scale,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor_scaled, beta_fast, beta_slow
                 );
                 cb(k_pe, "k_pe", il);
@@ -16067,8 +16067,8 @@ struct llama_context * llama_new_context_with_model(
 
     cparams.n_ubatch         = std::min(cparams.n_batch, params.n_ubatch == 0 ? params.n_batch : params.n_ubatch);
 
-    cparams.n_yarn_orig_ctx  = params.yarn_orig_ctx    != 0 ? params.yarn_orig_ctx    :
-                               hparams.n_yarn_orig_ctx != 0 ? hparams.n_yarn_orig_ctx :
+    cparams.n_ctx_orig_yarn  = params.yarn_orig_ctx    != 0 ? params.yarn_orig_ctx    :
+                               hparams.n_ctx_orig_yarn != 0 ? hparams.n_ctx_orig_yarn :
                                                               hparams.n_ctx_train;
 
     cparams.cb_eval           = params.cb_eval;
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 8dc90a45d..ce406a8af 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -1141,7 +1141,7 @@ struct test_rope : public test_case {
     const std::array<int64_t, 4> ne_a;
     int n_dims;
     int mode;
-    int n_ctx;
+    int n_ctx; // used to generate positions
     float fs; // freq_scale
     float ef; // ext_factor
     float af; // attn_factor
@@ -1168,7 +1168,7 @@ struct test_rope : public test_case {
         }
         ggml_tensor * pos = ggml_new_tensor_1d(ctx, GGML_TYPE_I32, ne_a[2]);
         ggml_tensor * freq = ff ? ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_dims/2) : nullptr;
-        ggml_tensor * out = ggml_rope_ext(ctx, a, pos, freq, n_dims, mode, n_ctx, 0, 10000.0f, fs, ef, af, 1.0f, 1.0f);
+        ggml_tensor * out = ggml_rope_ext(ctx, a, pos, freq, n_dims, mode, 0, 10000.0f, fs, ef, af, 1.0f, 1.0f);
         return out;
     }
 
@@ -1615,7 +1615,7 @@ struct llama_hparams {
 
     // cparams
     static constexpr uint32_t n_ctx = 512; // user-specified context size
-    static constexpr uint32_t n_orig_ctx = n_ctx;
+    static constexpr uint32_t n_ctx_orig = n_ctx;
 
     // batch
     int32_t n_tokens;
@@ -1806,13 +1806,13 @@ struct test_llama : public test_llm {
 
                 Qcur = ggml_rope_ext(
                     ctx, ggml_reshape_3d(ctx, Qcur, hp.n_embd_head, hp.n_head,    hp.n_tokens), inp_pos, nullptr,
-                    hp.n_rot, 0, 0, hp.n_orig_ctx, freq_base, freq_scale,
+                    hp.n_rot, 0, hp.n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
                 Kcur = ggml_rope_ext(
                     ctx, ggml_reshape_3d(ctx, Kcur, hp.n_embd_head, hp.n_head_kv, hp.n_tokens), inp_pos, nullptr,
-                    hp.n_rot, 0, 0, hp.n_orig_ctx, freq_base, freq_scale,
+                    hp.n_rot, 0, hp.n_ctx_orig, freq_base, freq_scale,
                     ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
@@ -1931,12 +1931,12 @@ struct test_falcon : public test_llm {
 
                 // using mode = 2 for neox mode
                 Qcur = ggml_rope_ext(
-                    ctx, Qcur, inp_pos, nullptr, hp.n_rot, 2, 0, hp.n_orig_ctx,
+                    ctx, Qcur, inp_pos, nullptr, hp.n_rot, 2, hp.n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
                 Kcur = ggml_rope_ext(
-                    ctx, Kcur, inp_pos, nullptr, hp.n_rot, 2, 0, hp.n_orig_ctx,
+                    ctx, Kcur, inp_pos, nullptr, hp.n_rot, 2, hp.n_ctx_orig,
                     freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow
                 );
 
@@ -2236,15 +2236,15 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
                 for (float ef : { 0.0f, 0.7465f }) {
                     for (float af : { 1.0f, 1.4245f }) {
                         for (ggml_type type : {GGML_TYPE_F32, GGML_TYPE_F16}) {
-                            // TODO: ff not supported yet for !neox
-                            test_cases.emplace_back(new test_rope(type, {128,  32, 10, 1}, 128, 0, 512, fs, ef, af, false, v)); // llama 7B
-                            if (all) {
-                                test_cases.emplace_back(new test_rope(type, {128,  40, 10, 1}, 128, 0, 512, fs, ef, af, false, v)); // llama 13B
-                                test_cases.emplace_back(new test_rope(type, {128,  52, 10, 1}, 128, 0, 512, fs, ef, af, false, v)); // llama 30B
-                                test_cases.emplace_back(new test_rope(type, {128,  64, 10, 1}, 128, 0, 512, fs, ef, af, false, v)); // llama 65B
-                            }
-
                             for (bool ff : {false, true}) { // freq_factors
+                                test_cases.emplace_back(new test_rope(type, {128,  32, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 7B
+
+                                if (all) {
+                                    test_cases.emplace_back(new test_rope(type, {128,  40, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 13B
+                                    test_cases.emplace_back(new test_rope(type, {128,  52, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 30B
+                                    test_cases.emplace_back(new test_rope(type, {128,  64, 10, 1}, 128, 0, 512, fs, ef, af, ff, v)); // llama 65B
+                                }
+
                                 if (all) {
                                     test_cases.emplace_back(new test_rope(type, { 64,   1, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 7B)
                                     test_cases.emplace_back(new test_rope(type, { 64,  71, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 7B)
@@ -2256,6 +2256,7 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
                                 test_cases.emplace_back(new test_rope(type, { 64, 128, 10, 1},  64, 2, 512, fs, ef, af, ff, v)); // neox (falcon 40B)
                             }
                         }
+
                         all = false;
                     }
                 }
diff --git a/tests/test-grad0.cpp b/tests/test-grad0.cpp
index 21ca43be3..a35327645 100644
--- a/tests/test-grad0.cpp
+++ b/tests/test-grad0.cpp
@@ -1465,7 +1465,7 @@ int main(int argc, const char ** argv) {
                             continue;
                         }
 
-                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode, 0));
+                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode));
 
                         GGML_PRINT_DEBUG("rope f32: n_past: %d n_rot: %d mode: %d\n", n_past, n_rot, mode);
                         check_gradient("rope f32", ctx0, x, f, ndims, nargs, 1e-2f, 1e-3f, INFINITY);
@@ -1505,7 +1505,7 @@ int main(int argc, const char ** argv) {
                             continue;
                         }
 
-                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode, 0));
+                        struct ggml_tensor * f = ggml_sum(ctx0, ggml_rope(ctx0, x[0], p, n_rot, mode));
 
                         GGML_PRINT_DEBUG("rope f16: n_past: %d n_rot: %d mode: %d\n", n_past, n_rot, mode);
                         check_gradient("rope f16", ctx0, x, f, ndims, nargs, 1e-1f, 1e-1f, INFINITY);
diff --git a/tests/test-rope.cpp b/tests/test-rope.cpp
index 26c1f42dc..f0895ffaa 100644
--- a/tests/test-rope.cpp
+++ b/tests/test-rope.cpp
@@ -162,12 +162,12 @@ int main(int /*argc*/, const char ** /*argv*/) {
         x = get_random_tensor_f32(ctx0, ndims, ne, -1.0f, 1.0f);
 
         // 100, 101, 102, ..., 172
-        struct ggml_tensor * r0 = ggml_rope(ctx0, x,  p0, n_rot, mode, 1024);
+        struct ggml_tensor * r0 = ggml_rope(ctx0, x,  p0, n_rot, mode);
         // -67, -67, -67, ..., -67
-        struct ggml_tensor * r1 = ggml_rope(ctx0, r0, p1, n_rot, mode, 1024); // "context swap", i.e. forget n_past_0 - n_past_2 tokens
+        struct ggml_tensor * r1 = ggml_rope(ctx0, r0, p1, n_rot, mode); // "context swap", i.e. forget n_past_0 - n_past_2 tokens
 
         //  33,  34,  35, ..., 105
-        struct ggml_tensor * r2 = ggml_rope(ctx0, x,  p2, n_rot, mode, 1024);
+        struct ggml_tensor * r2 = ggml_rope(ctx0, x,  p2, n_rot, mode);
 
         ggml_cgraph * gf = ggml_new_graph(ctx0);
 

From 7d1a378b8fb266782d9248538a661405aad80768 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Wed, 5 Jun 2024 16:53:00 +0200
Subject: [PATCH 014/131] CUDA: refactor mmq, dmmv, mmvq (#7716)

* CUDA: refactor mmq, dmmv, mmvq

* fix out-of-bounds write

* struct for qk, qr, qi

* fix cmake build

* mmq_type_traits
---
 CMakeLists.txt                                |    4 +
 Makefile                                      |    1 +
 ggml-common.h                                 |    6 +
 ggml-cuda.cu                                  |   84 +-
 ggml-cuda/common.cuh                          |  157 +-
 ggml-cuda/dmmv.cu                             |   30 +-
 ggml-cuda/mmq.cu                              | 1505 +----------------
 ggml-cuda/mmq.cuh                             | 1300 ++++++++++++++
 ggml-cuda/mmvq.cu                             |  137 +-
 .../fattn-vec-f16-instance-hs128-f16-f16.cu   |    2 +-
 .../fattn-vec-f16-instance-hs128-f16-q4_0.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-f16-q4_1.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-f16-q5_0.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-f16-q5_1.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-f16-q8_0.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-f16.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-q4_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-q4_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-q5_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-q5_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_0-q8_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-f16.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-q4_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-q4_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-q5_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-q5_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q4_1-q8_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-f16.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-q4_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-q4_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-q5_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-q5_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_0-q8_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-f16.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-q4_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-q4_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-q5_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-q5_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q5_1-q8_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-f16.cu  |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-q4_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-q4_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-q5_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-q5_1.cu |    2 +-
 .../fattn-vec-f16-instance-hs128-q8_0-q8_0.cu |    2 +-
 .../fattn-vec-f16-instance-hs256-f16-f16.cu   |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-f16.cu    |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-q4_0.cu   |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-q4_1.cu   |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-q5_0.cu   |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-q5_1.cu   |    2 +-
 .../fattn-vec-f16-instance-hs64-f16-q8_0.cu   |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-f16.cu   |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-q4_0.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-q4_1.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-q5_0.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-q5_1.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-f16-q8_0.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-f16.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-q4_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-q4_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-q5_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-q5_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_0-q8_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-f16.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-q4_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-q4_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-q5_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-q5_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q4_1-q8_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-f16.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-q4_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-q4_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-q5_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-q5_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_0-q8_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-f16.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-q4_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-q4_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-q5_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-q5_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q5_1-q8_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-f16.cu  |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-q4_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-q4_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-q5_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-q5_1.cu |    2 +-
 .../fattn-vec-f32-instance-hs128-q8_0-q8_0.cu |    2 +-
 .../fattn-vec-f32-instance-hs256-f16-f16.cu   |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-f16.cu    |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-q4_0.cu   |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-q4_1.cu   |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-q5_0.cu   |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-q5_1.cu   |    2 +-
 .../fattn-vec-f32-instance-hs64-f16-q8_0.cu   |    2 +-
 .../fattn-wmma-f16-instance-kqfloat-cpb16.cu  |    2 +-
 .../fattn-wmma-f16-instance-kqfloat-cpb32.cu  |    2 +-
 .../fattn-wmma-f16-instance-kqhalf-cpb16.cu   |    2 +-
 .../fattn-wmma-f16-instance-kqhalf-cpb32.cu   |    2 +-
 .../fattn-wmma-f16-instance-kqhalf-cpb8.cu    |    2 +-
 .../template-instances/generate_cu_files.py   |   16 +
 .../template-instances/mmq-instance-q2_k.cu   |    5 +
 .../template-instances/mmq-instance-q3_k.cu   |    5 +
 .../template-instances/mmq-instance-q4_0.cu   |    5 +
 .../template-instances/mmq-instance-q4_1.cu   |    5 +
 .../template-instances/mmq-instance-q4_k.cu   |    5 +
 .../template-instances/mmq-instance-q5_0.cu   |    5 +
 .../template-instances/mmq-instance-q5_1.cu   |    5 +
 .../template-instances/mmq-instance-q5_k.cu   |    5 +
 .../template-instances/mmq-instance-q6_k.cu   |    5 +
 .../template-instances/mmq-instance-q8_0.cu   |    5 +
 ggml-cuda/vecdotq.cuh                         |   78 +-
 112 files changed, 1783 insertions(+), 1767 deletions(-)
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q2_k.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q3_k.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q4_0.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q4_1.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q4_k.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q5_0.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q5_1.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q5_k.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q6_k.cu
 create mode 100644 ggml-cuda/template-instances/mmq-instance-q8_0.cu

diff --git a/CMakeLists.txt b/CMakeLists.txt
index cf37d5bb2..b1d6afbbc 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -416,6 +416,8 @@ if (LLAMA_CUDA)
         list(APPEND GGML_SOURCES_CUDA "ggml-cuda.cu")
         file(GLOB SRCS "ggml-cuda/template-instances/fattn-wmma*.cu")
         list(APPEND GGML_SOURCES_CUDA ${SRCS})
+        file(GLOB SRCS "ggml-cuda/template-instances/mmq*.cu")
+        list(APPEND GGML_SOURCES_CUDA ${SRCS})
 
         add_compile_definitions(GGML_USE_CUDA)
         add_compile_definitions(GGML_CUDA_USE_GRAPHS)
@@ -588,6 +590,8 @@ if (LLAMA_HIPBLAS)
     list(APPEND GGML_SOURCES_ROCM "ggml-cuda.cu")
     file(GLOB SRCS "ggml-cuda/template-instances/fattn-wmma*.cu")
     list(APPEND GGML_SOURCES_ROCM ${SRCS})
+    file(GLOB SRCS "ggml-cuda/template-instances/mmq*.cu")
+    list(APPEND GGML_SOURCES_ROCM ${SRCS})
 
     add_compile_definitions(GGML_USE_HIPBLAS GGML_USE_CUDA)
 
diff --git a/Makefile b/Makefile
index 802ee6a47..895c62f84 100644
--- a/Makefile
+++ b/Makefile
@@ -444,6 +444,7 @@ ifdef LLAMA_CUBLAS
 endif
 
 OBJS_CUDA_TEMP_INST      = $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-wmma*.cu))
+OBJS_CUDA_TEMP_INST     += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/mmq*.cu))
 ifdef LLAMA_CUDA_FA_ALL_QUANTS
 	OBJS_CUDA_TEMP_INST += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/template-instances/fattn-vec*.cu))
 else
diff --git a/ggml-common.h b/ggml-common.h
index 77e6bfba4..e8efceb76 100644
--- a/ggml-common.h
+++ b/ggml-common.h
@@ -123,12 +123,18 @@ typedef sycl::half2 ggml_half2;
 #define QI1_S (QK_K / (4*QR1_S))
 #define QR1_S 8
 
+#define QI1_M (QK_K / (4*QR1_M))
+#define QR1_M 8
+
 #define QI4_NL (QK4_NL / (4*QR4_NL))
 #define QR4_NL 2
 
 #define QI4_XS (QK_K / (4*QR4_XS))
 #define QR4_XS 8
 
+#define QI3_S (QK_K / (4*QR3_S))
+#define QR3_S 8
+
 #endif // GGML_COMMON_DECL_CUDA || GGML_COMMON_DECL_HIP
 
 #define QK4_0 32
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index c81c6a0d7..dad8a9e2d 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -633,88 +633,22 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_buffer_type(int device) {
 
 // cuda split buffer
 
-static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_CUDA_MAX_DEVICES> & tensor_split) {
-    int64_t min_compute_capability = INT_MAX;
-    int64_t max_compute_capability = INT_MIN;
+static int64_t get_row_rounding(const std::array<float, GGML_CUDA_MAX_DEVICES> & tensor_split) {
+    int64_t row_rounding = 0;
     for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
-        if (tensor_split[id] < (id + 1 < ggml_backend_cuda_get_device_count() ? tensor_split[id + 1] : 1.0f)) {
-            if (min_compute_capability > ggml_cuda_info().devices[id].cc) {
-                min_compute_capability = ggml_cuda_info().devices[id].cc;
-            }
-            if (max_compute_capability < ggml_cuda_info().devices[id].cc) {
-                max_compute_capability = ggml_cuda_info().devices[id].cc;
-            }
+        if (tensor_split[id] >= (id + 1 < ggml_backend_cuda_get_device_count() ? tensor_split[id + 1] : 1.0f)) {
+            continue;
         }
-    }
 
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-    switch(type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return max_compute_capability >= CC_RDNA2 ? 128 : 64;
-        case GGML_TYPE_F16:
-        case GGML_TYPE_F32:
-            return 1;
-        case GGML_TYPE_Q2_K:
-            return max_compute_capability >= CC_RDNA2 ? 128 : 32;
-        case GGML_TYPE_Q3_K:
-            return min_compute_capability < CC_RDNA2 ? 128 : 64;
-        case GGML_TYPE_Q4_K:
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_Q6_K:
-        case GGML_TYPE_IQ2_XXS:
-        case GGML_TYPE_IQ2_XS:
-        case GGML_TYPE_IQ2_S:
-        case GGML_TYPE_IQ3_XXS:
-        case GGML_TYPE_IQ1_S:
-        case GGML_TYPE_IQ1_M:
-        case GGML_TYPE_IQ4_NL:
-        case GGML_TYPE_IQ4_XS:
-        case GGML_TYPE_IQ3_S:
-            return max_compute_capability >= CC_RDNA2 ? 128 : 64;
-        default:
-            GGML_ASSERT(false);
+        const int cc = ggml_cuda_info().devices[id].cc;
+        row_rounding = std::max(row_rounding, (int64_t)get_mmq_y_host(cc, get_mmq_x_max_host(cc)));
     }
-#else
-    switch(type) {
-        case GGML_TYPE_Q4_0:
-        case GGML_TYPE_Q4_1:
-            return max_compute_capability >= CC_VOLTA ? 128 : 64;
-        case GGML_TYPE_Q5_0:
-        case GGML_TYPE_Q5_1:
-        case GGML_TYPE_Q8_0:
-            return 64;
-        case GGML_TYPE_F16:
-        case GGML_TYPE_F32:
-            return 1;
-        case GGML_TYPE_Q2_K:
-        case GGML_TYPE_Q3_K:
-        case GGML_TYPE_Q4_K:
-        case GGML_TYPE_Q5_K:
-        case GGML_TYPE_IQ2_XXS:
-        case GGML_TYPE_IQ2_XS:
-        case GGML_TYPE_IQ2_S:
-        case GGML_TYPE_IQ3_XXS:
-        case GGML_TYPE_IQ1_S:
-        case GGML_TYPE_IQ1_M:
-        case GGML_TYPE_IQ4_NL:
-        case GGML_TYPE_IQ4_XS:
-        case GGML_TYPE_IQ3_S:
-            return max_compute_capability >= CC_VOLTA ? 128 : 64;
-        case GGML_TYPE_Q6_K:
-            return 64;
-        default:
-            GGML_ASSERT(false);
-    }
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+    return row_rounding;
 }
 
 static void get_row_split(int64_t * row_low, int64_t * row_high, const ggml_tensor * tensor, const std::array<float, GGML_CUDA_MAX_DEVICES> & tensor_split, int id) {
     const int64_t nrows = ggml_nrows(tensor);
-    const int64_t rounding = get_row_rounding(tensor->type, tensor_split);
+    const int64_t rounding = get_row_rounding(tensor_split);
 
     *row_low = id == 0 ? 0 : nrows*tensor_split[id];
     *row_low -= *row_low % rounding;
@@ -1499,7 +1433,7 @@ static void ggml_cuda_op_mul_mat(
         // for multi GPU, get the row boundaries from tensor split
         // and round to mul_mat_q tile sizes
         if (split) {
-            const int64_t rounding = get_row_rounding(src0->type, tensor_split);
+            const int64_t rounding = get_row_rounding(tensor_split);
 
             if (id != 0) {
                 dev[id].row_low  = ne01*tensor_split[id];
diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh
index 22872ca5c..90a0a81ea 100644
--- a/ggml-cuda/common.cuh
+++ b/ggml-cuda/common.cuh
@@ -160,7 +160,7 @@
 #endif
 
 #define MMVQ_MAX_BATCH_SIZE  8 // max batch size to use MMVQ kernels
-#define  MMQ_MAX_BATCH_SIZE 32 // max batch size to use MMQ kernels when tensor cores are available
+#define  MMQ_MAX_BATCH_SIZE 64 // max batch size to use MMQ kernels when tensor cores are available
 
 #define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses
 
@@ -484,6 +484,161 @@ static __device__ __forceinline__ float get_alibi_slope(
     return powf(base, exph);
 }
 
+template <ggml_type type>
+struct ggml_cuda_type_traits;
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_F16> {
+    static constexpr int qk = 1;
+    static constexpr int qr = 1;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q4_0> {
+    static constexpr int qk = QK4_0;
+    static constexpr int qr = QR4_0;
+    static constexpr int qi = QI4_0;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q4_1> {
+    static constexpr int qk = QK4_1;
+    static constexpr int qr = QR4_1;
+    static constexpr int qi = QI4_1;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q5_0> {
+    static constexpr int qk = QK5_0;
+    static constexpr int qr = QR5_0;
+    static constexpr int qi = QI5_0;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q5_1> {
+    static constexpr int qk = QK5_1;
+    static constexpr int qr = QR5_1;
+    static constexpr int qi = QI5_1;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q8_0> {
+    static constexpr int qk = QK8_0;
+    static constexpr int qr = QR8_0;
+    static constexpr int qi = QI8_0;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q2_K> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR2_K;
+    static constexpr int qi = QI2_K;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q3_K> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR3_K;
+    static constexpr int qi = QI3_K;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q4_K> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR4_K;
+    static constexpr int qi = QI4_K;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q5_K> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR5_K;
+    static constexpr int qi = QI5_K;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_Q6_K> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR6_K;
+    static constexpr int qi = QI6_K;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ2_XXS> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR2_XXS;
+    static constexpr int qi = QI2_XXS;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ2_XS> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR2_XS;
+    static constexpr int qi = QI2_XS;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ2_S> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR2_S;
+    static constexpr int qi = QI2_S;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ3_XXS> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR3_XXS;
+    static constexpr int qi = QI3_XXS;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ1_S> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR1_S;
+    static constexpr int qi = QI1_S;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ1_M> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR1_M;
+    static constexpr int qi = QI1_M;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ4_NL> {
+    static constexpr int qk = QK4_NL;
+    static constexpr int qr = QR4_NL;
+    static constexpr int qi = QI4_NL;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ4_XS> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR4_XS;
+    static constexpr int qi = QI4_XS;
+};
+
+template<>
+struct ggml_cuda_type_traits<GGML_TYPE_IQ3_S> {
+    static constexpr int qk = QK_K;
+    static constexpr int qr = QR3_S;
+    static constexpr int qi = QI3_S;
+};
+
+static int get_mmq_x_max_host(const int cc) {
+#ifdef CUDA_USE_TENSOR_CORES
+    return cc >= CC_VOLTA && cc < CC_OFFSET_AMD ? MMQ_MAX_BATCH_SIZE : 64;
+#else
+    return cc >= CC_VOLTA && cc < CC_OFFSET_AMD ? 128 : 64;
+#endif // CUDA_USE_TENSOR_CORES
+}
+
+// Round rows to this value for --split-mode row:
+static int get_mmq_y_host(const int cc, const int mmq_x) {
+    return cc >= CC_VOLTA && mmq_x >= 32 ? 128 : 64;
+}
+
 //////////////////////
 
 struct ggml_cuda_device_info {
diff --git a/ggml-cuda/dmmv.cu b/ggml-cuda/dmmv.cu
index 47d4d5d9e..174489e06 100644
--- a/ggml-cuda/dmmv.cu
+++ b/ggml-cuda/dmmv.cu
@@ -422,10 +422,22 @@ static __device__ void convert_f16(const void * vx, const int64_t ib, const int
     v.y = x[ib + iqs + 1];
 }
 
-template <int qk, int qr, dequantize_kernel_t dequantize_kernel>
+static constexpr __device__ dequantize_kernel_t get_dequantize_kernel(ggml_type type) {
+    return type == GGML_TYPE_Q4_0 ? dequantize_q4_0 :
+        type == GGML_TYPE_Q4_1 ? dequantize_q4_1 :
+        type == GGML_TYPE_Q5_0 ? dequantize_q5_0 :
+        type == GGML_TYPE_Q5_1 ? dequantize_q5_1 :
+        type == GGML_TYPE_Q8_0 ? dequantize_q8_0 :
+        type == GGML_TYPE_F16 ? convert_f16 :
+        nullptr;
+}
+
+template <ggml_type type>
 static __global__ void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows) {
-    // qk = quantized weights per x block
-    // qr = number of quantized weights per data value in x block
+    constexpr int qk = ggml_cuda_type_traits<type>::qk; // quantized weights per x block
+    constexpr int qr = ggml_cuda_type_traits<type>::qr; // number of quantized weights per data value in x block
+    constexpr dequantize_kernel_t dequantize_kernel = get_dequantize_kernel(type);
+
     const int64_t row = (int64_t)blockIdx.x*blockDim.y + threadIdx.y;
 
     if (row >= nrows) {
@@ -493,7 +505,7 @@ static void dequantize_mul_mat_vec_q4_0_cuda(const void * vx, const dfloat * y,
     // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<QK4_0, QR4_0, dequantize_q4_0>
+    dequantize_mul_mat_vec<GGML_TYPE_Q4_0>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
@@ -502,7 +514,7 @@ static void dequantize_mul_mat_vec_q4_1_cuda(const void * vx, const dfloat * y,
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<QK4_1, QR4_1, dequantize_q4_1>
+    dequantize_mul_mat_vec<GGML_TYPE_Q4_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
@@ -511,7 +523,7 @@ static void dequantize_mul_mat_vec_q5_0_cuda(const void * vx, const dfloat * y,
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<QK5_0, QR5_0, dequantize_q5_0>
+    dequantize_mul_mat_vec<GGML_TYPE_Q5_0>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
@@ -520,7 +532,7 @@ static void dequantize_mul_mat_vec_q5_1_cuda(const void * vx, const dfloat * y,
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<QK5_1, QR5_1, dequantize_q5_1>
+    dequantize_mul_mat_vec<GGML_TYPE_Q5_1>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
@@ -529,7 +541,7 @@ static void dequantize_mul_mat_vec_q8_0_cuda(const void * vx, const dfloat * y,
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<QK8_0, QR8_0, dequantize_q8_0>
+    dequantize_mul_mat_vec<GGML_TYPE_Q8_0>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
@@ -580,7 +592,7 @@ static void convert_mul_mat_vec_f16_cuda(const void * vx, const dfloat * y, floa
     const int block_num_y = (nrows + GGML_CUDA_MMV_Y - 1) / GGML_CUDA_MMV_Y;
     const dim3 block_nums(block_num_y, 1, 1);
     const dim3 block_dims(WARP_SIZE, GGML_CUDA_MMV_Y, 1);
-    dequantize_mul_mat_vec<1, 1, convert_f16>
+    dequantize_mul_mat_vec<GGML_TYPE_F16>
         <<<block_nums, block_dims, 0, stream>>>(vx, y, dst, ncols, nrows);
 }
 
diff --git a/ggml-cuda/mmq.cu b/ggml-cuda/mmq.cu
index ebe1dc5c8..58799e4ca 100644
--- a/ggml-cuda/mmq.cu
+++ b/ggml-cuda/mmq.cu
@@ -1,1450 +1,4 @@
 #include "mmq.cuh"
-#include "vecdotq.cuh"
-
-typedef void (*allocate_tiles_cuda_t)(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc);
-typedef void (*load_tiles_cuda_t)(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row);
-typedef float (*vec_dot_q_mul_mat_cuda_t)(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ms, const int & i, const int & j, const int & k);
-typedef void (*dot_kernel_k_t)(const void * __restrict__ vx, const int ib, const int iqs, const float * __restrict__ y, float & v);
-typedef void (mul_mat_q_t)(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst);
-
-struct mmq_arch_config_t {
-    int x;
-    int y;
-    int nwarps;
-};
-
-struct mmq_config_t {
-    mmq_arch_config_t rdna2;
-    mmq_arch_config_t rdna1;
-    mmq_arch_config_t ampere;
-    mmq_arch_config_t pascal;
-};
-
-constexpr mmq_config_t MMQ_CONFIG_Q4_0 = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 64,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q4_1 = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 64,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q5_0 = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 64,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        {128,  64, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q5_1 = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 64,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        {128,  64, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q8_0 = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 64,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        {128,  64, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q2_K = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        {128,  32, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q3_K = {
-//        x    y  nwarps
-        {128,  64, 8},
-        { 32, 128, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        {128, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q4_K = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 32,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q5_K = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 32,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64, 128, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-constexpr mmq_config_t MMQ_CONFIG_Q6_K = {
-//        x    y  nwarps
-        { 64, 128, 8},
-        { 32,  64, 8},
-#ifdef CUDA_USE_TENSOR_CORES
-        {  4,  32, 4},
-#else
-        { 64,  64, 4},
-#endif // CUDA_USE_TENSOR_CORES
-        { 64,  64, 8},
-};
-
-// ------------------------------------------------------------
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q4_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh);
-    GGML_UNUSED(x_sc);
-
-    __shared__ int  tile_x_qs[mmq_y * (WARP_SIZE)       + mmq_y];
-    __shared__ float tile_x_d[mmq_y * (WARP_SIZE/QI4_0) + mmq_y/QI4_0];
-
-    *x_ql = tile_x_qs;
-    *x_dm = (half2 *) tile_x_d;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_0;
-    const int kqsx = k % QI4_0;
-
-    const block_q4_0 * bx0 = (const block_q4_0 *) vx;
-
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
-        // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) {
-        int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q4_0_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const float * x_dmf = (const float *) x_dm;
-
-    int u[2*VDR_Q4_0_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE];
-    }
-
-    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0],
-         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q4_1(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    __shared__ int   tile_x_qs[mmq_y * (WARP_SIZE) +     + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI4_1) + mmq_y/QI4_1];
-
-    *x_ql = tile_x_qs;
-    *x_dm = tile_x_dm;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_1(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_1;
-    const int kqsx = k % QI4_1;
-
-    const block_q4_1 * bx0 = (const block_q4_1 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_1;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) {
-        int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q4_1_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-
-    int u[2*VDR_Q4_1_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE];
-    }
-
-    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1],
-         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q5_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    __shared__ int  tile_x_ql[mmq_y * (2*WARP_SIZE)     + mmq_y];
-    __shared__ float tile_x_d[mmq_y * (WARP_SIZE/QI5_0) + mmq_y/QI5_0];
-
-    *x_ql = tile_x_ql;
-    *x_dm = (half2 *) tile_x_d;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_0(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_0;
-    const int kqsx = k % QI5_0;
-
-    const block_q5_0 * bx0 = (const block_q5_0 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        const int ql = get_int_from_uint8(bxi->qs, kqsx);
-        const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0));
-
-        int qs0 = (ql >>  0)   & 0x0F0F0F0F;
-        qs0    |= (qh <<  4)   & 0x00000010;  // 0 ->  4
-        qs0    |= (qh << 11)   & 0x00001000;  // 1 -> 12
-        qs0    |= (qh << 18)   & 0x00100000;  // 2 -> 20
-        qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
-        qs0     = __vsubss4(qs0, 0x10101010); // subtract 16
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
-
-        int qs1 = (ql >>  4)   & 0x0F0F0F0F;
-        qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
-        qs1    |= (qh >>  5)   & 0x00001000;  // 17 -> 12
-        qs1    |= (qh <<  2)   & 0x00100000;  // 18 -> 20
-        qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
-        qs1     = __vsubss4(qs1, 0x10101010); // subtract 16
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) {
-        int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q5_0_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0;
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    int u[2*VDR_Q5_0_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
-    }
-
-    return vec_dot_q8_0_q8_1_impl<float, QR5_0*VDR_Q5_0_Q8_1_MMQ>
-        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q5_1(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    __shared__ int   tile_x_ql[mmq_y * (2*WARP_SIZE)     + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI5_1) + mmq_y/QI5_1];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_1(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset < nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_1;
-    const int kqsx = k % QI5_1;
-
-    const block_q5_1 * bx0 = (const block_q5_1 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
-        const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1));
-
-        int qs0 = (ql >>  0) & 0x0F0F0F0F;
-        qs0    |= (qh <<  4) & 0x00000010; // 0 ->  4
-        qs0    |= (qh << 11) & 0x00001000; // 1 -> 12
-        qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
-        qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
-
-        int qs1 = (ql >>  4) & 0x0F0F0F0F;
-        qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
-        qs1    |= (qh >>  5) & 0x00001000; // 17 -> 12
-        qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
-        qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) {
-        int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q5_1_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1;
-
-    int u[2*VDR_Q5_1_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE];
-    }
-
-    return vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
-        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q8_0(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    __shared__ int  tile_x_qs[mmq_y * (WARP_SIZE)       + mmq_y];
-    __shared__ float tile_x_d[mmq_y * (WARP_SIZE/QI8_0) + mmq_y/QI8_0];
-
-    *x_ql = tile_x_qs;
-    *x_dm = (half2 *) tile_x_d;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q8_0(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI8_0;
-    const int kqsx = k % QI8_0;
-    float * x_dmf = (float *) x_dm;
-
-    const block_q8_0 * bx0 = (const block_q8_0 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) {
-        int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q8_0_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
-
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    return vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0],
-         y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q2_K(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh);
-
-    __shared__ int   tile_x_ql[mmq_y * (WARP_SIZE)       + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI2_K) + mmq_y/QI2_K];
-    __shared__ int   tile_x_sc[mmq_y * (WARP_SIZE/4)     + mmq_y/4];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q2_K(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI2_K;
-    const int kqsx = k % QI2_K;
-
-    const block_q2_K * bx0 = (const block_q2_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI2_K;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) {
-        int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
-        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4);
-
-        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4));
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q2_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh);
-
-    const int kbx = k / QI2_K;
-    const int ky  = (k % QI2_K) * QR2_K;
-    const float * y_df = (const float *) y_ds;
-
-    int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
-
-    const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
-    const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
-
-#pragma unroll
-    for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) {
-        v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
-    }
-
-    const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
-
-    const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE;
-    return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q3_K(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-
-    __shared__ int   tile_x_ql[mmq_y * (WARP_SIZE)       + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI3_K) + mmq_y/QI3_K];
-    __shared__ int   tile_x_qh[mmq_y * (WARP_SIZE/2)     + mmq_y/2];
-    __shared__ int   tile_x_sc[mmq_y * (WARP_SIZE/4)     + mmq_y/4];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_qh = tile_x_qh;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q3_K(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI3_K;
-    const int kqsx = k % QI3_K;
-
-    const block_q3_K * bx0 = (const block_q3_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI3_K;
-    const int kbxd = k % blocks_per_tile_x_row;
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) {
-        int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) {
-        int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2);
-
-        // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
-        x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2));
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
-        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4);
-
-        const int ksc = k % (QI3_K/4);
-
-        const int ksc_low = ksc % (QI3_K/8);
-        const int shift_low = 4 * (ksc / (QI3_K/8));
-        const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F;
-
-        const int ksc_high = QI3_K/8;
-        const int shift_high = 2 * ksc;
-        const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030;
-
-        const int sc = __vsubss4(sc_low | sc_high, 0x20202020);
-
-        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q3_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-
-    const int kbx  = k / QI3_K;
-    const int ky  = (k % QI3_K) * QR3_K;
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
-
-    int v[QR3_K*VDR_Q3_K_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
-        const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
-        const int shift = 2 * ((ky % 32) / 8);
-        const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
-
-        const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
-        const int vlh = (vh << 2) & 0x04040404;
-
-        v[l] = __vsubss4(vll, vlh);
-    }
-
-    const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE;
-    return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q4_K(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh);
-
-    __shared__ int   tile_x_ql[mmq_y * (WARP_SIZE)       + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI4_K) + mmq_y/QI4_K];
-    __shared__ int   tile_x_sc[mmq_y * (WARP_SIZE/8)     + mmq_y/8];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_K(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI4_K; // == k if QK_K == 256
-
-    const block_q4_K * bx0 = (const block_q4_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) {
-        int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8);
-
-        const int * scales = (const int *) bxi->scales;
-
-        const int ksc = k % (WARP_SIZE/8);
-
-        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
-        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
-        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q4_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh);
-
-    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8);
-
-    const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE;
-    return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8,
-                                      x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q5_K(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh);
-
-    __shared__ int   tile_x_ql[mmq_y * (2*WARP_SIZE)     + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI5_K) + mmq_y/QI5_K];
-    __shared__ int   tile_x_sc[mmq_y * (WARP_SIZE/8)     + mmq_y/8];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_K(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI5_K; // == k if QK_K == 256
-
-    const block_q5_K * bx0 = (const block_q5_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx;
-        const int ky = QR5_K*kqsx;
-
-        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
-        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
-        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
-
-        const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4));
-        const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010;
-        const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010;
-
-        const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0;
-        const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4);
-
-        x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
-        x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) {
-        int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8);
-
-        const int * scales = (const int *) bxi->scales;
-
-        const int ksc = k % (WARP_SIZE/8);
-
-        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
-        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
-        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q5_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh);
-
-    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8);
-
-    const int index_x = i * (QR5_K*WARP_SIZE + 1) +  QR5_K*k;
-    const int index_y = j * WARP_SIZE             + (QR5_K*k) % WARP_SIZE;
-    return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8,
-                                      x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]);
-}
-
-template <int mmq_y> static __device__ __forceinline__ void allocate_tiles_q6_K(int ** x_ql, half2 ** x_dm, int ** x_qh, int ** x_sc) {
-    GGML_UNUSED(x_qh);
-
-    __shared__ int   tile_x_ql[mmq_y * (2*WARP_SIZE)     + mmq_y];
-    __shared__ half2 tile_x_dm[mmq_y * (WARP_SIZE/QI6_K) + mmq_y/QI6_K];
-    __shared__ int   tile_x_sc[mmq_y * (WARP_SIZE/8)     + mmq_y/8];
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q6_K(
-    const void * __restrict__ vx, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
-    int * __restrict__ x_sc, const int & i_offset, const int & i_max, const int & k, const int & blocks_per_row) {
-    GGML_UNUSED(x_qh);
-
-    GGML_CUDA_ASSUME(i_offset >= 0);
-    GGML_CUDA_ASSUME(i_offset <  nwarps);
-    GGML_CUDA_ASSUME(k >= 0);
-    GGML_CUDA_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI6_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI6_K; // == k if QK_K == 256
-
-    const block_q6_K * bx0 = (const block_q6_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx;
-        const int ky = QR6_K*kqsx;
-
-        const int ql = get_int_from_uint8(bxi->ql, kqsx);
-        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
-        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
-
-        const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4));
-        const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030;
-        const int qh1 =  (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4))))       & 0x30303030;
-
-        const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0;
-        const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2);
-
-        x_ql[i * (2*WARP_SIZE + 1) + kq0] = __vsubss4(ql0 | qh0, 0x20202020);
-        x_ql[i * (2*WARP_SIZE + 1) + kq1] = __vsubss4(ql1 | qh1, 0x20202020);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) {
-        int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4;
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8));
-    }
-}
-
-static __device__ __forceinline__ float vec_dot_q6_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, const int & i, const int & j, const int & k) {
-    GGML_UNUSED(x_qh);
-
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]);
-
-    const int index_x = i * (QR6_K*WARP_SIZE + 1) +  QR6_K*k;
-    const int index_y = j * WARP_SIZE             + (QR6_K*k) % WARP_SIZE;
-    return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
-}
-
-template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x, int mmq_y, int nwarps,
-              allocate_tiles_cuda_t allocate_tiles, load_tiles_cuda_t load_tiles, int vdr, vec_dot_q_mul_mat_cuda_t vec_dot>
-static __device__ __forceinline__ void mul_mat_q(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    const int blocks_per_row_x = ncols_x / qk;
-    const int blocks_per_col_y = nrows_y / QK8_1;
-    const int blocks_per_warp = WARP_SIZE / qi;
-
-    const int & ncols_dst = ncols_y;
-
-    const int row_dst_0 = blockIdx.x*mmq_y;
-    const int & row_x_0 = row_dst_0;
-
-    const int col_dst_0 = blockIdx.y*mmq_x;
-    const int & col_y_0 = col_dst_0;
-
-    int   * tile_x_ql = nullptr;
-    half2 * tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-    allocate_tiles(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc);
-
-    __shared__ int    tile_y_qs[mmq_x * WARP_SIZE];
-    __shared__ half2  tile_y_ds[mmq_x * WARP_SIZE/QI8_1];
-
-    float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}};
-
-    for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) {
-
-        load_tiles(x + row_x_0*blocks_per_row_x + ib0, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc,
-                   threadIdx.y, nrows_x-row_x_0-1, threadIdx.x, blocks_per_row_x);
-
-#pragma unroll
-        for (int ir = 0; ir < qr; ++ir) {
-            const int kqs = ir*WARP_SIZE + threadIdx.x;
-            const int kbxd = kqs / QI8_1;
-
-#pragma unroll
-            for (int i = 0; i < mmq_x; i += nwarps) {
-                const int col_y_eff = min(col_y_0 + threadIdx.y + i, ncols_y-1); // to prevent out-of-bounds memory accesses
-
-                const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd];
-
-                const int index_y = (threadIdx.y + i) * WARP_SIZE + kqs % WARP_SIZE;
-                tile_y_qs[index_y] = get_int_from_int8_aligned(by0->qs, threadIdx.x % QI8_1);
-            }
-
-#pragma unroll
-            for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) {
-                const int ids = (ids0 + threadIdx.y * QI8_1 + threadIdx.x / (WARP_SIZE/QI8_1)) % mmq_x;
-                const int kby = threadIdx.x % (WARP_SIZE/QI8_1);
-                const int col_y_eff = min(col_y_0 + ids, ncols_y-1);
-
-                // if the sum is not needed it's faster to transform the scale to f32 ahead of time
-                const half2 * dsi_src = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + ir*(WARP_SIZE/QI8_1) + kby].ds;
-                half2       * dsi_dst = &tile_y_ds[ids * (WARP_SIZE/QI8_1) + kby];
-                if (need_sum) {
-                    *dsi_dst = *dsi_src;
-                } else {
-                    float * dfi_dst = (float *) dsi_dst;
-                    *dfi_dst = __low2float(*dsi_src);
-                }
-            }
-
-            __syncthreads();
-
-// #pragma unroll // unrolling this loop causes too much register pressure
-            for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) {
-#pragma unroll
-                for (int j = 0; j < mmq_x; j += nwarps) {
-#pragma unroll
-                    for (int i = 0; i < mmq_y; i += WARP_SIZE) {
-                        sum[i/WARP_SIZE][j/nwarps] += vec_dot(
-                            tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, tile_y_qs, tile_y_ds,
-                            threadIdx.x + i, threadIdx.y + j, k);
-                    }
-                }
-            }
-
-            __syncthreads();
-        }
-    }
-
-#pragma unroll
-    for (int j = 0; j < mmq_x; j += nwarps) {
-        const int col_dst = col_dst_0 + j + threadIdx.y;
-
-        if (col_dst >= ncols_dst) {
-            return;
-        }
-
-#pragma unroll
-        for (int i = 0; i < mmq_y; i += WARP_SIZE) {
-            const int row_dst = row_dst_0 + threadIdx.x + i;
-
-            if (row_dst >= nrows_dst) {
-                continue;
-            }
-
-            dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps];
-        }
-    }
-}
-
-static constexpr __device__ mmq_arch_config_t get_arch_config_device(mmq_config_t mmq_config) {
-
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-
-#if defined(RDNA3) || defined(RDNA2)
-    return mmq_config.rdna2;
-#else
-    return mmq_config.rdna1;
-#endif // defined(RDNA3) || defined(RDNA2)
-
-#else
-
-#if __CUDA_ARCH__ >= CC_VOLTA
-    return mmq_config.ampere;
-#else
-    return mmq_config.pascal;
-#endif // __CUDA_ARCH__ >= CC_VOLTA
-
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_0.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-    mul_mat_q4_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_0);
-
-    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_0<arch_config.y>,
-        load_tiles_q4_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ, vec_dot_q4_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q4_0_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_1.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_1.pascal.nwarps, 2)
-#endif // __CUDA_ARCH__ < CC_VOLTA
-    mul_mat_q4_1(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_1);
-
-    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_1<arch_config.y>,
-        load_tiles_q4_1<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ, vec_dot_q4_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q4_1_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_0.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-    mul_mat_q5_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_0);
-
-    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_0<arch_config.y>,
-        load_tiles_q5_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ, vec_dot_q5_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q5_0_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_1.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-mul_mat_q5_1(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_1);
-
-    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_1<arch_config.y>,
-        load_tiles_q5_1<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ, vec_dot_q5_1_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q5_1_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q8_0.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-    mul_mat_q8_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q8_0);
-
-    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q8_0<arch_config.y>,
-        load_tiles_q8_0<arch_config.y, arch_config.nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ, vec_dot_q8_0_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q8_0_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q2_K.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-mul_mat_q2_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q2_K);
-
-    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q2_K<arch_config.y>,
-        load_tiles_q2_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ, vec_dot_q2_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q2_K_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q3_K.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q3_K.pascal.nwarps, 2)
-#endif // __CUDA_ARCH__ < CC_VOLTA
-    mul_mat_q3_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q3_K);
-
-    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q3_K<arch_config.y>,
-        load_tiles_q3_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ, vec_dot_q3_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q3_K_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.pascal.nwarps, 2)
-#endif // __CUDA_ARCH__ < CC_VOLTA
-    mul_mat_q4_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q4_K);
-
-    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q4_K<arch_config.y>,
-        load_tiles_q4_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ, vec_dot_q4_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q4_K_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q5_K.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-mul_mat_q5_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q5_K);
-
-    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q5_K<arch_config.y>,
-        load_tiles_q5_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ, vec_dot_q5_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q5_K_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-template <bool need_check> static __global__ void
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q6_K.rdna2.nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#elif __CUDA_ARCH__ < CC_VOLTA
-    __launch_bounds__(WARP_SIZE*MMQ_CONFIG_Q4_K.pascal.nwarps, 2)
-#endif // __CUDA_ARCH__ < CC_VOLTA
-    mul_mat_q6_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst) {
-
-#if __CUDA_ARCH__ >= MIN_CC_DP4A
-    constexpr mmq_arch_config_t arch_config = get_arch_config_device(MMQ_CONFIG_Q6_K);
-
-    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, arch_config.x, arch_config.y, arch_config.nwarps, allocate_tiles_q6_K<arch_config.y>,
-        load_tiles_q6_K<arch_config.y, arch_config.nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ, vec_dot_q6_K_q8_1_mul_mat>
-        (vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst);
-#else
-    GGML_UNUSED(get_arch_config_device);
-    GGML_UNUSED(vec_dot_q6_K_q8_1_mul_mat);
-    NO_DEVICE_CODE;
-#endif // __CUDA_ARCH__ >= MIN_CC_DP4A
-}
-
-#define MMQ_SWITCH_CASE(type_suffix)                                                                        \
-    case GGML_TYPE_Q##type_suffix: if (row_diff % arch_config.y == 0) {                                     \
-        const bool need_check = false;                                                                      \
-        mul_mat_q##type_suffix<need_check><<<block_nums, block_dims, 0, stream>>>                           \
-            (src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst); \
-    } else {                                                                                                \
-        const bool need_check = true;                                                                       \
-        mul_mat_q##type_suffix<need_check><<<block_nums, block_dims, 0, stream>>>                           \
-            (src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst); \
-    } break;                                                                                                \
 
 void ggml_cuda_op_mul_mat_q(
     ggml_backend_cuda_context & ctx,
@@ -1454,12 +8,15 @@ void ggml_cuda_op_mul_mat_q(
 
     const int64_t ne00 = src0->ne[0];
 
+    const int64_t nb01 = src0->nb[1];
+
     const int64_t ne10 = src1->ne[0];
     GGML_ASSERT(ne10 % QK8_1 == 0);
 
     const int64_t ne0 = dst->ne[0];
 
     const int64_t row_diff = row_high - row_low;
+    const int64_t stride00 = nb01 / ggml_type_size(src0->type);
 
     int id = ggml_cuda_get_device();
     const int compute_capability = ggml_cuda_info().devices[id].cc;
@@ -1468,78 +25,44 @@ void ggml_cuda_op_mul_mat_q(
     // nrows_dst == nrows of the matrix that the kernel writes into
     const int64_t nrows_dst = id == ctx.device ? ne0 : row_diff;
 
-    mmq_config_t mmq_config;
+    const mmq_args args = {src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stride00, src1_padded_row_size, src1_ncols, nrows_dst};
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
-            mmq_config = MMQ_CONFIG_Q4_0;
+            mul_mat_q_case<GGML_TYPE_Q4_0>(args, stream);
             break;
         case GGML_TYPE_Q4_1:
-            mmq_config = MMQ_CONFIG_Q4_1;
+            mul_mat_q_case<GGML_TYPE_Q4_1>(args, stream);
             break;
         case GGML_TYPE_Q5_0:
-            mmq_config = MMQ_CONFIG_Q5_0;
+            mul_mat_q_case<GGML_TYPE_Q5_0>(args, stream);
             break;
         case GGML_TYPE_Q5_1:
-            mmq_config = MMQ_CONFIG_Q5_1;
+            mul_mat_q_case<GGML_TYPE_Q5_1>(args, stream);
             break;
         case GGML_TYPE_Q8_0:
-            mmq_config = MMQ_CONFIG_Q8_0;
+            mul_mat_q_case<GGML_TYPE_Q8_0>(args, stream);
             break;
         case GGML_TYPE_Q2_K:
-            mmq_config = MMQ_CONFIG_Q2_K;
+            mul_mat_q_case<GGML_TYPE_Q2_K>(args, stream);
             break;
         case GGML_TYPE_Q3_K:
-            mmq_config = MMQ_CONFIG_Q3_K;
+            mul_mat_q_case<GGML_TYPE_Q3_K>(args, stream);
             break;
         case GGML_TYPE_Q4_K:
-            mmq_config = MMQ_CONFIG_Q4_K;
+            mul_mat_q_case<GGML_TYPE_Q4_K>(args, stream);
             break;
         case GGML_TYPE_Q5_K:
-            mmq_config = MMQ_CONFIG_Q5_K;
+            mul_mat_q_case<GGML_TYPE_Q5_K>(args, stream);
             break;
         case GGML_TYPE_Q6_K:
-            mmq_config = MMQ_CONFIG_Q6_K;
+            mul_mat_q_case<GGML_TYPE_Q6_K>(args, stream);
             break;
         default:
             GGML_ASSERT(false);
             break;
     }
 
-    mmq_arch_config_t arch_config;
-    if (compute_capability >= CC_RDNA2) {
-        arch_config = mmq_config.rdna2;
-    } else if (compute_capability >= CC_OFFSET_AMD) {
-        arch_config = mmq_config.rdna1;
-    } else if (compute_capability >= CC_VOLTA) {
-        arch_config = mmq_config.ampere;
-    } else if (compute_capability >= MIN_CC_DP4A) {
-        arch_config = mmq_config.pascal;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (row_diff   + arch_config.y - 1) / arch_config.y;
-    const int block_num_y = (src1_ncols + arch_config.x - 1) / arch_config.x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, arch_config.nwarps, 1);
-
-    switch (src0->type) {
-        MMQ_SWITCH_CASE(4_0)
-        MMQ_SWITCH_CASE(4_1)
-        MMQ_SWITCH_CASE(5_0)
-        MMQ_SWITCH_CASE(5_1)
-        MMQ_SWITCH_CASE(8_0)
-        MMQ_SWITCH_CASE(2_K)
-        MMQ_SWITCH_CASE(3_K)
-        MMQ_SWITCH_CASE(4_K)
-        MMQ_SWITCH_CASE(5_K)
-        MMQ_SWITCH_CASE(6_K)
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-
     GGML_UNUSED(src1);
     GGML_UNUSED(dst);
     GGML_UNUSED(src1_ddf_i);
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 807817c4a..6744cce6d 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -1,4 +1,1304 @@
 #include "common.cuh"
+#include "vecdotq.cuh"
+
+#include <climits>
+#include <cstdint>
+
+typedef void (*load_tiles_mmq_t)(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride);
+typedef void (*vec_dot_mmq_t)(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ms, float * __restrict__ sum, const int & k0);
+
+struct tile_x_sizes {
+    int ql;
+    int dm;
+    int qh;
+    int sc;
+};
+
+// get_mmq_x_max_host is in common.cuh so that it can be used to determine the correct way to round for --split-mode row
+
+static constexpr __device__ int get_mmq_x_max_device() {
+#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+    return 64;
+#else
+#if __CUDA_ARCH__ >= CC_VOLTA
+#ifdef CUDA_USE_TENSOR_CORES
+    return MMQ_MAX_BATCH_SIZE;
+#else
+    return 128;
+#endif // CUDA_USE_TENSOR_CORES
+#else
+    return 64;
+#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+}
+
+// get_mmq_y_host is in common.cuh so that it can be used to determine the correct way to round for --split-mode row
+
+#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+static constexpr __device__ int get_mmq_y_device(int mmq_x) {
+    return mmq_x >= 32 ? 128 : 64;
+}
+#else
+#if __CUDA_ARCH__ >= CC_VOLTA
+static constexpr __device__ int get_mmq_y_device(int mmq_x) {
+    return mmq_x >= 32 ? 128 : 64;
+}
+#else
+static constexpr __device__ int get_mmq_y_device(int /*mmq_x*/) {
+    return 64;
+}
+#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+
+#define TILE_X_SIZES_Q4_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_0 + mmq_y/QI4_0, 0,                           0}
+#define TILE_X_SIZES_Q4_1 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_1 + mmq_y/QI4_1, 0,                           0}
+#define TILE_X_SIZES_Q5_0 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_0 + mmq_y/QI5_0, 0,                           0}
+#define TILE_X_SIZES_Q5_1 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_1 + mmq_y/QI5_1, 0,                           0}
+#define TILE_X_SIZES_Q8_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI8_0 + mmq_y/QI8_0, 0,                           0}
+#define TILE_X_SIZES_Q2_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI2_K + mmq_y/QI2_K, 0,                           mmq_y*WARP_SIZE/4 + mmq_y/4}
+#define TILE_X_SIZES_Q3_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI3_K + mmq_y/QI3_K, mmq_y*WARP_SIZE/2 + mmq_y/2, mmq_y*WARP_SIZE/4 + mmq_y/4}
+#define TILE_X_SIZES_Q4_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_K + mmq_y/QI4_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
+#define TILE_X_SIZES_Q5_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_K + mmq_y/QI5_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
+#define TILE_X_SIZES_Q6_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI6_K + mmq_y/QI6_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
+
+#define GET_TILE_X_SIZES_BODY                           \
+    return type == GGML_TYPE_Q4_0 ? TILE_X_SIZES_Q4_0 : \
+        type == GGML_TYPE_Q4_1 ? TILE_X_SIZES_Q4_1 :    \
+        type == GGML_TYPE_Q5_0 ? TILE_X_SIZES_Q5_0 :    \
+        type == GGML_TYPE_Q5_1 ? TILE_X_SIZES_Q5_1 :    \
+        type == GGML_TYPE_Q8_0 ? TILE_X_SIZES_Q8_0 :    \
+        type == GGML_TYPE_Q2_K ? TILE_X_SIZES_Q2_K :    \
+        type == GGML_TYPE_Q3_K ? TILE_X_SIZES_Q3_K :    \
+        type == GGML_TYPE_Q4_K ? TILE_X_SIZES_Q4_K :    \
+        type == GGML_TYPE_Q5_K ? TILE_X_SIZES_Q5_K :    \
+        type == GGML_TYPE_Q6_K ? TILE_X_SIZES_Q6_K :    \
+        tile_x_sizes{0, 0, 0, 0}
+
+static tile_x_sizes get_tile_x_sizes_host(const ggml_type type, const int mmq_y) {
+    GET_TILE_X_SIZES_BODY;
+}
+
+template <int mmq_y>
+static constexpr __device__ tile_x_sizes get_tile_x_sizes_device(ggml_type type) {
+    GET_TILE_X_SIZES_BODY;
+}
+
+// ------------------------------------------------------------
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    const int kbx  = threadIdx.x / QI4_0;
+    const int kqsx = threadIdx.x % QI4_0;
+
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_0 * bxi = (const block_q4_0 *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) {
+        int i = i0 + threadIdx.y * QI4_0 + threadIdx.x / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_0 * bxi = (const block_q4_0 *) x + kbx0 + i*stride + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
+            const float * x_dmf = (const float *) x_dm;
+
+            int u[2*VDR_Q4_0_Q8_1_MMQ];
+
+#pragma unroll
+            for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
+                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE];
+            }
+
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
+                (&x_ql[i * (WARP_SIZE + 1) + k0], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
+                y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_1(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    const int kbx  = threadIdx.x / QI4_1;
+    const int kqsx = threadIdx.x % QI4_1;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_1 * bxi = (const block_q4_1 *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_1;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) {
+        int i = i0 + threadIdx.y * QI4_1 + threadIdx.x / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_1 * bxi = (const block_q4_1 *) x + kbx0 + i*stride + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
+
+            int u[2*VDR_Q4_1_Q8_1_MMQ];
+
+#pragma unroll
+            for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
+                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE];
+            }
+
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
+                (&x_ql[i * (WARP_SIZE + 1) + k0], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k0/QI4_1],
+                y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_0(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    const int kbx  = threadIdx.x / QI5_0;
+    const int kqsx = threadIdx.x % QI5_0;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_0 * bxi = (const block_q5_0 *) x + kbx0 + i*stride + kbx;
+
+        const int ql = get_int_from_uint8(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (threadIdx.x % QI5_0));
+
+        int qs0 = (ql >>  0)   & 0x0F0F0F0F;
+        qs0    |= (qh <<  4)   & 0x00000010;  // 0 ->  4
+        qs0    |= (qh << 11)   & 0x00001000;  // 1 -> 12
+        qs0    |= (qh << 18)   & 0x00100000;  // 2 -> 20
+        qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
+        qs0     = __vsubss4(qs0, 0x10101010); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
+
+        int qs1 = (ql >>  4)   & 0x0F0F0F0F;
+        qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
+        qs1    |= (qh >>  5)   & 0x00001000;  // 17 -> 12
+        qs1    |= (qh <<  2)   & 0x00100000;  // 18 -> 20
+        qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
+        qs1     = __vsubss4(qs1, 0x10101010); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) {
+        int i = i0 + threadIdx.y * QI5_0 + threadIdx.x / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_0 * bxi = (const block_q5_0 *) x + kbx0 + i*stride + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
+            const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k0/QI5_0;
+            const float * x_dmf = (const float *) x_dm;
+            const float * y_df  = (const float *) y_ds;
+
+            int u[2*VDR_Q5_0_Q8_1_MMQ];
+
+#pragma unroll
+            for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
+                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
+            }
+
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, QR5_0*VDR_Q5_0_Q8_1_MMQ>
+                (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k0], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+        }
+    }
+}
+
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_1(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    const int kbx  = threadIdx.x / QI5_1;
+    const int kqsx = threadIdx.x % QI5_1;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_1 * bxi = (const block_q5_1 *) x + kbx0 + i*stride + kbx;
+
+        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (threadIdx.x % QI5_1));
+
+        int qs0 = (ql >>  0) & 0x0F0F0F0F;
+        qs0    |= (qh <<  4) & 0x00000010; // 0 ->  4
+        qs0    |= (qh << 11) & 0x00001000; // 1 -> 12
+        qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
+        qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
+
+        int qs1 = (ql >>  4) & 0x0F0F0F0F;
+        qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
+        qs1    |= (qh >>  5) & 0x00001000; // 17 -> 12
+        qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
+        qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) {
+        int i = i0 + threadIdx.y * QI5_1 + threadIdx.x / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_1 * bxi = (const block_q5_1 *) x + kbx0 + i*stride + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
+            const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k0/QI5_1;
+
+            int u[2*VDR_Q5_1_Q8_1_MMQ];
+
+#pragma unroll
+            for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
+                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE];
+            }
+
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
+                (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k0], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q8_0(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    const int kbx  = threadIdx.x / QI8_0;
+    const int kqsx = threadIdx.x % QI8_0;
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q8_0 * bxi = (const block_q8_0 *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_int8(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) {
+        int i = i0 + threadIdx.y * QI8_0 + threadIdx.x / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q8_0 * bxi = (const block_q8_0 *) x + kbx0 + i*stride + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const float * x_dmf = (const float *) x_dm;
+            const float * y_df  = (const float *) y_ds;
+
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMQ>
+                (&x_ql[i * (WARP_SIZE + 1) + k0], &y_qs[j * WARP_SIZE + k0], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0],
+                y_df[j * (WARP_SIZE/QI8_1) + k0/QI8_1]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q2_K(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh);
+
+    const int kbx  = threadIdx.x / QI2_K;
+    const int kqsx = threadIdx.x % QI2_K;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI2_K;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) {
+        int i = (i0 + threadIdx.y * QI2_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
+        int i = i0 + threadIdx.y * 4 + threadIdx.x / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/4)) / (QI2_K/4);
+
+        x_sc[i * (WARP_SIZE/4) + i / 4 + threadIdx.x % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, threadIdx.x % (QI2_K/4));
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kbx = k0 / QI2_K;
+            const int ky  = (k0 % QI2_K) * QR2_K;
+            const float * y_df = (const float *) y_ds;
+
+            int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
+
+            const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
+            const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
+
+#pragma unroll
+            for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) {
+                v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
+            }
+
+            const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
+
+            const int index_y = j * WARP_SIZE + (QR2_K*k0) % WARP_SIZE;
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q2_K_q8_1_impl_mmq(
+                v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q3_K(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+
+    const int kbx  = threadIdx.x / QI3_K;
+    const int kqsx = threadIdx.x % QI3_K;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI3_K;
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) {
+        int i = (i0 + threadIdx.y * QI3_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) {
+        int i = i0 + threadIdx.y * 2 + threadIdx.x / (WARP_SIZE/2);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/2)) / (QI3_K/2);
+
+        // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
+        x_qh[i * (WARP_SIZE/2) + i / 2 + threadIdx.x % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, threadIdx.x % (QI3_K/2));
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
+        int i = i0 + threadIdx.y * 4 + threadIdx.x / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/4)) / (QI3_K/4);
+
+        const int ksc = threadIdx.x % (QI3_K/4);
+
+        const int ksc_low = ksc % (QI3_K/8);
+        const int shift_low = 4 * (ksc / (QI3_K/8));
+        const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F;
+
+        const int ksc_high = QI3_K/8;
+        const int shift_high = 2 * ksc;
+        const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030;
+
+        const int sc = __vsubss4(sc_low | sc_high, 0x20202020);
+
+        x_sc[i * (WARP_SIZE/4) + i / 4 + threadIdx.x % (WARP_SIZE/4)] = sc;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const int kbx  = k0 / QI3_K;
+            const int ky  = (k0 % QI3_K) * QR3_K;
+            const float * x_dmf = (const float *) x_dm;
+            const float * y_df  = (const float *) y_ds;
+
+            const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
+
+            int v[QR3_K*VDR_Q3_K_Q8_1_MMQ];
+
+#pragma unroll
+            for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
+                const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
+                const int shift = 2 * ((ky % 32) / 8);
+                const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
+
+                const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
+                const int vlh = (vh << 2) & 0x04040404;
+
+                v[l] = __vsubss4(vll, vlh);
+            }
+
+            const int index_y = j * WARP_SIZE + (k0*QR3_K) % WARP_SIZE;
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q3_K_q8_1_impl_mmq(
+                v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_K(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh);
+
+    const int kbx  = 0;           // threadIdx.x / QI4_K
+    const int kqsx = threadIdx.x; // threadIdx.x % QI4_K
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_K * bxi = (const block_q4_K *) x + kbx0 + i*stride + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_K;  // == 1 if QK_K == 256
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row; // == 0 if QK_K == 256
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) {
+        int i = (i0 + threadIdx.y * QI4_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_K * bxi = (const block_q4_K *) x + kbx0 + i*stride + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + threadIdx.y * 8 + threadIdx.x / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q4_K * bxi = (const block_q4_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/8)) / (QI4_K/8);
+
+        const int * scales = (const int *) bxi->scales;
+
+        const int ksc = threadIdx.x % (WARP_SIZE/8);
+
+        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
+        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
+        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2*((k0 % 16) / 8);
+
+            const int index_y = j * WARP_SIZE + (QR4_K*k0) % WARP_SIZE;
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_K_q8_1_impl_mmq(
+                &x_ql[i * (WARP_SIZE + 1) + k0], &y_qs[index_y], sc, sc+8, x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_K(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh);
+
+    const int kbx  = 0;           // threadIdx.x / QI5_K
+    const int kqsx = threadIdx.x; // threadIdx.x % QI5_K
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_K * bxi = (const block_q5_K *) x + kbx0 + i*stride + kbx;
+        const int ky = QR5_K*kqsx;
+
+        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
+        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
+
+        const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4));
+        const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010;
+        const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010;
+
+        const int kq0 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + 0;
+        const int kq1 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + (QI5_K/4);
+
+        x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
+        x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_K;  // == 1 if QK_K == 256
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row; // == 0 if QK_K == 256
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) {
+        int i = (i0 + threadIdx.y * QI5_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_K * bxi = (const block_q5_K *) x + kbx0 + i*stride + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + threadIdx.y * 8 + threadIdx.x / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q5_K * bxi = (const block_q5_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/8)) / (QI5_K/8);
+
+        const int * scales = (const int *) bxi->scales;
+
+        const int ksc = threadIdx.x % (WARP_SIZE/8);
+
+        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
+        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
+        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2 * ((k0 % 16) / 8);
+
+            const int index_x = i * (QR5_K*WARP_SIZE + 1) +  QR5_K*k0;
+            const int index_y = j * WARP_SIZE             + (QR5_K*k0) % WARP_SIZE;
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q5_K_q8_1_impl_mmq(
+                &x_ql[index_x], &y_qs[index_y], sc, sc+8, x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]);
+        }
+    }
+}
+
+template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q6_K(
+    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
+    GGML_UNUSED(x_qh);
+
+    const int kbx  = 0;           // threadIdx.x / QI6_K
+    const int kqsx = threadIdx.x; // threadIdx.x % QI6_K
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + threadIdx.y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q6_K * bxi = (const block_q6_K *) x + kbx0 + i*stride + kbx;
+        const int ky = QR6_K*kqsx;
+
+        const int ql = get_int_from_uint8(bxi->ql, kqsx);
+        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
+        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
+
+        const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4));
+        const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030;
+        const int qh1 =  (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4))))       & 0x30303030;
+
+        const int kq0 = ky - ky % QI6_K + threadIdx.x % (QI6_K/2) + 0;
+        const int kq1 = ky - ky % QI6_K + threadIdx.x % (QI6_K/2) + (QI6_K/2);
+
+        x_ql[i * (2*WARP_SIZE + 1) + kq0] = __vsubss4(ql0 | qh0, 0x20202020);
+        x_ql[i * (2*WARP_SIZE + 1) + kq1] = __vsubss4(ql1 | qh1, 0x20202020);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI6_K;  // == 1 if QK_K == 256
+    const int kbxd = threadIdx.x % blocks_per_tile_x_row; // == 0 if QK_K == 256
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) {
+        int i = (i0 + threadIdx.y * QI6_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q6_K * bxi = (const block_q6_K *) x + kbx0 + i*stride + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + threadIdx.y * 8 + threadIdx.x / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = min(i, i_max);
+        }
+
+        const block_q6_K * bxi = (const block_q6_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/8)) / 4;
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + threadIdx.x % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, threadIdx.x % (QI6_K/8));
+    }
+}
+
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh);
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            const float * x_dmf = (const float *) x_dm;
+            const float * y_df  = (const float *) y_ds;
+
+            const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/8]);
+
+            const int index_x = i * (QR6_K*WARP_SIZE + 1) +  QR6_K*k0;
+            const int index_y = j * WARP_SIZE             + (QR6_K*k0) % WARP_SIZE;
+            sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q6_K_q8_1_impl_mmq(
+                &x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
+        }
+    }
+}
+
+// -------------------------------------------------------------------------------------------------------------------------------------
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check, ggml_type type>
+struct mmq_type_traits;
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_0> {
+    static constexpr bool             need_sum   = true;
+    static constexpr int              vdr        = VDR_Q4_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_1> {
+    static constexpr bool             need_sum   = true;
+    static constexpr int              vdr        = VDR_Q4_1_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_1<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_0> {
+    static constexpr bool             need_sum   = false;
+    static constexpr int              vdr        = VDR_Q5_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_1> {
+    static constexpr bool             need_sum   = true;
+    static constexpr int              vdr        = VDR_Q5_1_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_1<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q8_0> {
+    static constexpr bool             need_sum   = false;
+    static constexpr int              vdr        = VDR_Q8_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q8_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q2_K> {
+    static constexpr bool             need_sum   = false;
+    static constexpr int              vdr        = VDR_Q2_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q2_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q2_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q3_K> {
+    static constexpr bool             need_sum   = false;
+    static constexpr int              vdr        = VDR_Q3_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q3_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q3_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
+    static constexpr bool             need_sum   = true;
+    static constexpr int              vdr        = VDR_Q4_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
+    static constexpr bool             need_sum   = true;
+    static constexpr int              vdr        = VDR_Q5_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <int mmq_x, int mmq_y, int nwarps, bool need_check>
+struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q6_K> {
+    static constexpr bool             need_sum   = false;
+    static constexpr int              vdr        = VDR_Q6_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q6_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+};
+
+template <ggml_type type, int mmq_x, int nwarps, bool need_check>
+#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+#if defined(RDNA3) || defined(RDNA2)
+    __launch_bounds__(WARP_SIZE*nwarps, 2)
+#endif // defined(RDNA3) || defined(RDNA2)
+#else
+#if __CUDA_ARCH__ >= CC_VOLTA
+    __launch_bounds__(WARP_SIZE*nwarps, 1)
+#else
+    __launch_bounds__(WARP_SIZE*nwarps, type == GGML_TYPE_Q2_K ? 1 : 2)
+#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+static __global__ void mul_mat_q(
+    const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst,
+    const int ne00, const int ne01, const int stride00, const int ne10, const int ne11, const int ne0) {
+
+    // Skip unused template specializations for faster compilation:
+    if (mmq_x > get_mmq_x_max_device()) {
+        NO_DEVICE_CODE;
+        return;
+    }
+
+    constexpr int              qk         = ggml_cuda_type_traits<type>::qk;
+    constexpr int              qr         = ggml_cuda_type_traits<type>::qr;
+    constexpr int              qi         = ggml_cuda_type_traits<type>::qi;
+    constexpr int              mmq_y      = get_mmq_y_device(mmq_x);
+    constexpr bool             need_sum   = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::need_sum;
+    constexpr int              vdr        = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vdr;
+    constexpr load_tiles_mmq_t load_tiles = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::load_tiles;
+    constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot;
+
+    constexpr tile_x_sizes txs = get_tile_x_sizes_device<mmq_y>(type);
+
+    extern __shared__ char data_mul_mat_q[];
+    int   * tile_x_ql = (int   *)  data_mul_mat_q;
+    half2 * tile_x_dm = (half2 *) (tile_x_ql + txs.ql);
+    int   * tile_x_qh = (int   *) (tile_x_dm + txs.dm);
+    int   * tile_x_sc = (int   *) (tile_x_qh + txs.qh);
+    int   * tile_y_qs = (int   *) (tile_x_sc + txs.sc);          // [mmq_x * WARP_SIZE]
+    half2 * tile_y_ds = (half2 *) (tile_y_qs + mmq_x*WARP_SIZE); // [mmq_x * WARP_SIZE/QI8_1];
+
+    const block_q8_1 * y = (const block_q8_1 *) yc;
+
+    const int blocks_per_row_x = ne00 / qk;
+    const int blocks_per_col_y = ne10 / QK8_1;
+    const int blocks_per_warp = WARP_SIZE / qi;
+
+    const int & ne1 = ne11;
+
+    const int tile_x_max_i = ne01 - blockIdx.x*mmq_y - 1;
+
+    float sum[(mmq_x/nwarps) * (mmq_y/WARP_SIZE)] = {0.0f};
+
+    for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) {
+
+        load_tiles(x, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, stride00*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride00);
+
+#pragma unroll
+        for (int kr = 0; kr < qr; ++kr) {
+            const int kqs = kr*WARP_SIZE + threadIdx.x;
+            const int kbxd = kqs / QI8_1;
+
+#pragma unroll
+            for (int i0 = 0; i0 < mmq_x; i0 += nwarps) {
+                const int i = min(blockIdx.y*mmq_x + threadIdx.y + i0, ne11-1); // to prevent out-of-bounds memory accesses
+
+                const block_q8_1 * by0 = &y[i*blocks_per_col_y + kb0 * (qk/QK8_1) + kbxd];
+
+                const int index_y = (i0 + threadIdx.y) * WARP_SIZE + kqs % WARP_SIZE;
+                tile_y_qs[index_y] = get_int_from_int8_aligned(by0->qs, threadIdx.x % QI8_1);
+            }
+
+#pragma unroll
+            for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) {
+                const int ids = (ids0 + threadIdx.y * QI8_1 + threadIdx.x / (WARP_SIZE/QI8_1)) % mmq_x;
+                const int kby = threadIdx.x % (WARP_SIZE/QI8_1);
+                const int i_y_eff = min(blockIdx.y*mmq_x + ids, ne11-1);
+
+                // if the sum is not needed it's faster to transform the scale to f32 ahead of time
+                const half2 * dsi_src = &y[i_y_eff*blocks_per_col_y + kb0 * (qk/QK8_1) + kr*(WARP_SIZE/QI8_1) + kby].ds;
+                half2       * dsi_dst = &tile_y_ds[ids * (WARP_SIZE/QI8_1) + kby];
+                if (need_sum) {
+                    *dsi_dst = *dsi_src;
+                } else {
+                    float * dfi_dst = (float *) dsi_dst;
+                    *dfi_dst = __low2float(*dsi_src);
+                }
+            }
+
+            __syncthreads();
+
+// #pragma unroll // unrolling this loop causes too much register pressure
+            for (int k0 = kr*WARP_SIZE/qr; k0 < (kr+1)*WARP_SIZE/qr; k0 += vdr) {
+                vec_dot(tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, tile_y_qs, tile_y_ds, sum, k0);
+            }
+
+            __syncthreads();
+        }
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = blockIdx.y*mmq_x + j0 + threadIdx.y;
+
+        if (j >= ne1) {
+            return;
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = blockIdx.x*mmq_y + i0 + threadIdx.x;
+
+            if (need_check && i >= ne0) {
+                continue;
+            }
+
+            dst[j*ne0 + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
+        }
+    }
+}
+
+struct mmq_args {
+    const char * x; const char * y; float * dst;
+    int64_t ne00; int64_t ne01; int64_t stride00;
+    int64_t ne10; int64_t ne11;
+    int64_t ne0;
+};
+
+template <ggml_type type, int mmq_x, int nwarps>
+static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
+    const int id = ggml_cuda_get_device();
+    const int cc = ggml_cuda_info().devices[id].cc;
+    const int mmq_y = get_mmq_y_host(cc, mmq_x);
+
+    const int block_num_x = (args.ne01 + mmq_y - 1) / mmq_y;
+    const int block_num_y = (args.ne11 + mmq_x - 1) / mmq_x;
+    const dim3 block_nums(block_num_x, block_num_y, 1);
+    const dim3 block_dims(WARP_SIZE, nwarps, 1);
+
+    const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y);
+    const int shmem_x = txs.ql*sizeof(int) + txs.dm*sizeof(half2) + txs.qh*sizeof(int) + txs.sc*sizeof(int);
+    const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2);
+    const int shmem = shmem_x + shmem_y;
+
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+    static bool shmem_limit_raised[GGML_CUDA_MAX_DEVICES] = {false};
+    if (!shmem_limit_raised[id]) {
+        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, nwarps, false>, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
+        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, nwarps, true>,  cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
+        shmem_limit_raised[id] = true;
+    }
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
+
+    if (args.ne01 % mmq_y == 0) {
+        const bool need_check = false;
+        mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
+            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride00, args.ne10, args.ne11, args.ne0);
+    } else {
+        const bool need_check = true;
+        mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
+            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride00, args.ne10, args.ne11, args.ne0);
+    }
+}
+
+template <ggml_type type>
+void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
+    const int id = ggml_cuda_get_device();
+    const int nsm = ggml_cuda_info().devices[id].nsm;
+    const int cc  = ggml_cuda_info().devices[id].cc;
+
+    const int mmq_x_max = get_mmq_x_max_host(cc);
+    const int mmq_y = get_mmq_y_host(cc, mmq_x_max);
+    const int block_num_y = (args.ne01 + mmq_y - 1) / mmq_y;
+
+    int mmq_x_best  = 0;
+    int nwaves_best = INT_MAX;
+
+    for (int mmq_x = 8; mmq_x <= mmq_x_max && nwaves_best > 1; mmq_x += 8) {
+        const int block_num_x = (args.ne11 + mmq_x - 1) / mmq_x;
+        const int nwaves = (block_num_x*block_num_y + nsm - 1) / nsm;
+
+        if (nwaves < nwaves_best) {
+            mmq_x_best  = mmq_x;
+            nwaves_best = nwaves;
+        }
+    }
+
+    switch (mmq_x_best) {
+        case   8:
+            launch_mul_mat_q<type,   8, 4>(args, stream);
+            break;
+        case  16:
+            launch_mul_mat_q<type,  16, 8>(args, stream);
+            break;
+        case  24:
+            launch_mul_mat_q<type,  24, 8>(args, stream);
+            break;
+        case  32:
+            launch_mul_mat_q<type,  32, 8>(args, stream);
+            break;
+        case  40:
+            launch_mul_mat_q<type,  40, 8>(args, stream);
+            break;
+        case  48:
+            launch_mul_mat_q<type,  48, 8>(args, stream);
+            break;
+        case  56:
+            launch_mul_mat_q<type,  56, 8>(args, stream);
+            break;
+        case  64:
+            launch_mul_mat_q<type,  64, 8>(args, stream);
+            break;
+        case  72:
+            launch_mul_mat_q<type,  72, 8>(args, stream);
+            break;
+        case  80:
+            launch_mul_mat_q<type,  80, 8>(args, stream);
+            break;
+        case  88:
+            launch_mul_mat_q<type,  88, 8>(args, stream);
+            break;
+        case  96:
+            launch_mul_mat_q<type,  96, 8>(args, stream);
+            break;
+        case 104:
+            launch_mul_mat_q<type, 104, 8>(args, stream);
+            break;
+        case 112:
+            launch_mul_mat_q<type, 112, 8>(args, stream);
+            break;
+        case 120:
+            launch_mul_mat_q<type, 120, 8>(args, stream);
+            break;
+        case 128:
+            launch_mul_mat_q<type, 128, 8>(args, stream);
+            break;
+        default:
+            GGML_ASSERT(false);
+            break;
+    }
+}
+
+#define DECL_MMQ_CASE(type)                                                        \
+    template void mul_mat_q_case<type>(const mmq_args & args, cudaStream_t stream) \
+
+extern DECL_MMQ_CASE(GGML_TYPE_Q4_0);
+extern DECL_MMQ_CASE(GGML_TYPE_Q4_1);
+extern DECL_MMQ_CASE(GGML_TYPE_Q5_0);
+extern DECL_MMQ_CASE(GGML_TYPE_Q5_1);
+extern DECL_MMQ_CASE(GGML_TYPE_Q8_0);
+extern DECL_MMQ_CASE(GGML_TYPE_Q2_K);
+extern DECL_MMQ_CASE(GGML_TYPE_Q3_K);
+extern DECL_MMQ_CASE(GGML_TYPE_Q4_K);
+extern DECL_MMQ_CASE(GGML_TYPE_Q5_K);
+extern DECL_MMQ_CASE(GGML_TYPE_Q6_K);
+
+// -------------------------------------------------------------------------------------------------------------------------
 
 void ggml_cuda_op_mul_mat_q(
     ggml_backend_cuda_context & ctx,
diff --git a/ggml-cuda/mmvq.cu b/ggml-cuda/mmvq.cu
index 65cc1bcaa..5f056e91e 100644
--- a/ggml-cuda/mmvq.cu
+++ b/ggml-cuda/mmvq.cu
@@ -1,9 +1,47 @@
 #include "mmvq.cuh"
 #include "vecdotq.cuh"
 
-typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs);
+typedef float (*vec_dot_q_cuda_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs);
 
-template <int ncols_y, int qk, int qi, typename block_q_t, int vdr, vec_dot_q_cuda_t vec_dot_q_cuda>
+static constexpr __device__ vec_dot_q_cuda_t get_vec_dot_q_cuda(ggml_type type) {
+    return type == GGML_TYPE_Q4_0 ? vec_dot_q4_0_q8_1 :
+        type == GGML_TYPE_Q4_1 ? vec_dot_q4_1_q8_1 :
+        type == GGML_TYPE_Q5_0 ? vec_dot_q5_0_q8_1 :
+        type == GGML_TYPE_Q5_1 ? vec_dot_q5_1_q8_1 :
+        type == GGML_TYPE_Q8_0 ? vec_dot_q8_0_q8_1 :
+        type == GGML_TYPE_Q2_K ? vec_dot_q2_K_q8_1 :
+        type == GGML_TYPE_Q3_K ? vec_dot_q3_K_q8_1 :
+        type == GGML_TYPE_Q4_K ? vec_dot_q4_K_q8_1 :
+        type == GGML_TYPE_Q5_K ? vec_dot_q5_K_q8_1 :
+        type == GGML_TYPE_Q6_K ? vec_dot_q6_K_q8_1 :
+        type == GGML_TYPE_IQ2_XXS ? vec_dot_iq2_xxs_q8_1 :
+        type == GGML_TYPE_IQ2_XS ? vec_dot_iq2_xs_q8_1 :
+        type == GGML_TYPE_IQ2_S ? vec_dot_iq2_s_q8_1 :
+        type == GGML_TYPE_IQ3_XXS ? vec_dot_iq3_xxs_q8_1 :
+        type == GGML_TYPE_IQ1_S ? vec_dot_iq1_s_q8_1 :
+        type == GGML_TYPE_IQ1_M ? vec_dot_iq1_m_q8_1 :
+        type == GGML_TYPE_IQ4_NL ? vec_dot_iq4_nl_q8_1 :
+        type == GGML_TYPE_IQ4_XS ? vec_dot_iq4_xs_q8_1 :
+        type == GGML_TYPE_IQ3_S ? vec_dot_iq3_s_q8_1 :
+        nullptr;
+}
+
+static constexpr __device__ int get_vdr_mmvq(ggml_type type) {
+    return type == GGML_TYPE_Q4_0 ? VDR_Q4_0_Q8_1_MMVQ :
+        type == GGML_TYPE_Q4_1 ? VDR_Q4_1_Q8_1_MMVQ :
+        type == GGML_TYPE_Q5_0 ? VDR_Q5_0_Q8_1_MMVQ :
+        type == GGML_TYPE_Q5_1 ? VDR_Q5_1_Q8_1_MMVQ :
+        type == GGML_TYPE_Q8_0 ? VDR_Q8_0_Q8_1_MMVQ :
+        type == GGML_TYPE_Q2_K ? VDR_Q2_K_Q8_1_MMVQ :
+        type == GGML_TYPE_Q3_K ? VDR_Q3_K_Q8_1_MMVQ :
+        type == GGML_TYPE_Q4_K ? VDR_Q4_K_Q8_1_MMVQ :
+        type == GGML_TYPE_Q5_K ? VDR_Q5_K_Q8_1_MMVQ :
+        type == GGML_TYPE_Q6_K ? VDR_Q6_K_Q8_1_MMVQ :
+        type == GGML_TYPE_IQ4_NL ? VDR_Q4_K_Q8_1_MMVQ :
+        1;
+}
+
+template <ggml_type type, int ncols_y>
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
 // tell the compiler to use as many registers as it wants, see nwarps definition below
 __launch_bounds__((ncols_y <= 4 ? 4 : 2)*WARP_SIZE, 1)
@@ -12,6 +50,12 @@ static __global__ void mul_mat_vec_q(
     const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int nrows_dst) {
 
+    constexpr int qk  = ggml_cuda_type_traits<type>::qk;
+    constexpr int qi  = ggml_cuda_type_traits<type>::qi;
+    constexpr int vdr = get_vdr_mmvq(type);
+
+    constexpr vec_dot_q_cuda_t vec_dot_q_cuda = get_vec_dot_q_cuda(type);
+
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__) && (defined(RDNA2) || defined(RDNA3))
     constexpr int nwarps              = 1;
     constexpr int rows_per_cuda_block = 1;
@@ -29,7 +73,6 @@ static __global__ void mul_mat_vec_q(
 // partial sum for each thread
     float tmp[ncols_y][rows_per_cuda_block] = {0.0f};
 
-    const block_q_t  * x = (const block_q_t  *) vx;
     const block_q8_1 * y = (const block_q8_1 *) vy;
 
     for (int kbx = tid / (qi/vdr); kbx < blocks_per_row_x; kbx += blocks_per_iter) {
@@ -42,8 +85,7 @@ static __global__ void mul_mat_vec_q(
         for (int j = 0; j < ncols_y; ++j) {
 #pragma unroll
             for (int i = 0; i < rows_per_cuda_block; ++i) {
-                tmp[j][i] += vec_dot_q_cuda(
-                    &x[kbx + (row0 + i)*blocks_per_row_x], &y[j*blocks_per_col_y + kby], kqs);
+                tmp[j][i] += vec_dot_q_cuda(vx, &y[j*blocks_per_col_y + kby], (row0 + i)*blocks_per_row_x + kbx, kqs);
             }
         }
     }
@@ -81,12 +123,12 @@ static __global__ void mul_mat_vec_q(
     }
 }
 
-template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_cuda_t vec_dot>
+template <ggml_type type>
 static void mul_mat_vec_q_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    GGML_ASSERT(ncols_x % qk == 0);
+    GGML_ASSERT(ncols_x % ggml_blck_size(type) == 0);
     GGML_ASSERT(ncols_y <= MMVQ_MAX_BATCH_SIZE);
 
     int id = ggml_cuda_get_device();
@@ -124,36 +166,28 @@ static void mul_mat_vec_q_cuda(
 
     switch (ncols_y) {
         case 1:
-            mul_mat_vec_q<1, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 1><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 2:
-            mul_mat_vec_q<2, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 2><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 3:
-            mul_mat_vec_q<3, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 3><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 4:
-            mul_mat_vec_q<4, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 4><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 5:
-            mul_mat_vec_q<5, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 5><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 6:
-            mul_mat_vec_q<6, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 6><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 7:
-            mul_mat_vec_q<7, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 7><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         case 8:
-            mul_mat_vec_q<8, qk, qi, block_q_t, vdr, vec_dot>
-                <<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
+            mul_mat_vec_q<type, 8><<<block_nums, block_dims, 0, stream>>>(vx, vy, dst, ncols_x, nrows_x, nrows_y, nrows_dst);
             break;
         default:
             GGML_ASSERT(false);
@@ -165,152 +199,133 @@ static void mul_mat_vec_q4_0_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK4_0, QI4_0, block_q4_0, VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q4_0>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q4_1_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK4_1, QI4_1, block_q4_1, VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q4_1>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q5_0_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK5_0, QI5_0, block_q5_0, VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q5_0>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q5_1_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK5_1, QI5_1, block_q5_1, VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q5_1>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q8_0_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK8_0, QI8_0, block_q8_0, VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q8_0>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q2_K_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI2_K, block_q2_K, VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q2_K>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q3_K_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI3_K, block_q3_K, VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q3_K>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q4_K_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI4_K, block_q4_K, VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q4_K>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q5_K_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI5_K, block_q5_K, VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q5_K>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_q6_K_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI6_K, block_q6_K, VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_Q6_K>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq2_xxs_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI2_XXS, block_iq2_xxs, 1, vec_dot_iq2_xxs_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ2_XXS>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq2_xs_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI2_XS, block_iq2_xs, 1, vec_dot_iq2_xs_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ2_XS>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq2_s_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI2_S, block_iq2_s, 1, vec_dot_iq2_s_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ2_S>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq3_xxs_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI3_XXS, block_iq3_xxs, 1, vec_dot_iq3_xxs_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ3_XXS>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq1_s_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI1_S, block_iq1_s, 1, vec_dot_iq1_s_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ1_S>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq1_m_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI1_S, block_iq1_m, 1, vec_dot_iq1_m_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ1_M>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq4_nl_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK4_NL, QI4_NL, block_iq4_nl, VDR_Q4_0_Q8_1_MMVQ, vec_dot_iq4_nl_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ4_NL>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq4_xs_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI4_XS, block_iq4_xs, 1, vec_dot_iq4_xs_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ4_XS>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 static void mul_mat_vec_iq3_s_q8_1_cuda(
     const void * vx, const void * vy, float * dst,
     const int ncols_x, const int nrows_x, const int nrows_y, const int ncols_y, const int nrows_dst, cudaStream_t stream) {
 
-    mul_mat_vec_q_cuda<QK_K, QI3_XS, block_iq3_s, 1, vec_dot_iq3_s_q8_1>
-        (vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
+    mul_mat_vec_q_cuda<GGML_TYPE_IQ3_S>(vx, vy, dst, ncols_x, nrows_x, nrows_y, ncols_y, nrows_dst, stream);
 }
 
 void ggml_cuda_op_mul_mat_vec_q(
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu
index d7f103475..6696a2384 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu
index f3d8d2eda..dd070db28 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu
index 9beb05ca2..54dcde6f5 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu
index 0c163dcba..4ec22f791 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu
index 3980167b3..3c15bf7f0 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu
index fe099921d..7e61b5fdc 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-f16-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu
index d4d5e7999..fdb15b580 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu
index f08b10c4d..0f7c417d2 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu
index e8c3f8adc..851f33c43 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu
index c01416a13..763809cbe 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu
index 46615f281..f2a276e50 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu
index 72dcc1a2f..cb227f6f5 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu
index 9fa8a377d..97ac0520c 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu
index 20ea86c6d..c772b4263 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu
index ed815957c..5cb743081 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu
index bbe9e6a1c..98a709d17 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu
index d12a61699..4f2f947ae 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu
index 1e901afcb..11f96b6f6 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q4_1-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu
index a3f98ce37..b39bdc061 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu
index 1bae97243..bbd6a2c7f 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu
index 7258e9775..9d84ff2b1 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu
index 08435c005..bc8a5bff6 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu
index 17864e8e9..a679100c8 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu
index 9239138c9..8f21bccf7 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu
index e387d9c1d..858b00fd7 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu
index d69d3bbd6..0fc8011fa 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu
index 61a478816..261fdf623 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu
index 89995080a..0fb824738 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu
index 9e6a58dff..a9d9d089b 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu
index 153cbfd86..7d7b27920 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q5_1-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu
index 09d576558..a092ee2d5 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu
index 3e3c91e68..db55927a1 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu
index 7b973058f..c3c21cefa 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu
index a43a475d4..35dd9f520 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu
index 5b570c0a3..050c22ac7 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu
index bf2cc684e..de4866c5e 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs128-q8_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu
index 7428e45ea..57a10bc4b 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs256-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu
index 4aee830de..e0f08b46a 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu
index 36acb6319..1c8e8a467 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu
index a4090c390..cefed83fb 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu
index 17b6b2d11..aede6e358 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu
index 549e1cea1..1a1a92c78 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu
index 66bcd820f..ad667473d 100644
--- a/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f16-instance-hs64-f16-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu
index 15933a299..c499f455d 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu
index 8aa785583..8286ebf37 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu
index bde3924fd..458786882 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu
index 1708181c1..d89103ce0 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu
index 30fa6fa4c..bb75fd42f 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu
index 69673d50f..b1629817e 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-f16-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu
index d8b2b2e18..d8657604d 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu
index 01cce7ab5..2e5bd2f1a 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu
index fd5563b39..be5f302d9 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu
index b13cc4a0c..8dd91cd72 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu
index 86f1fc637..4cb791502 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu
index 26e7df4be..09dea4267 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu
index e4fda8952..0fbb60769 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu
index bd15117b4..2aeab83b2 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu
index cb6c6a760..599415b49 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu
index 201b6641d..e4f8e3083 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu
index 6da57a44a..34d166527 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu
index 47623c9bf..4bebef45a 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q4_1-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu
index 82c6861d2..326468da2 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu
index 24a80c2b0..511b58f4e 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu
index b95eaf7e1..d9906d142 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu
index 275f2efcc..f61c183ab 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu
index 3673f7fd5..c10450fd2 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu
index 2c4d59947..2d5cb195c 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu
index 2457cdf3f..b384f34d7 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu
index b3b411ed3..446e293b1 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu
index b7f308a4d..6f4302988 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu
index 739686697..1cd8ba88f 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu
index 708d03113..1ee2eab65 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu
index df891be60..2bc77816a 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q5_1-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu
index f49b6d1f9..d55ced08b 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu
index 1de92148b..8361e99c4 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu
index 7a1ba7f8d..7507a67c4 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu
index 25493e4ba..61f050b23 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu
index 3cd650c7b..d4a49d9c9 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu
index 88ffa43d6..d14627897 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs128-q8_0-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu
index 8c7bac6c2..e73f917a1 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs256-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu
index a28f62e7b..d40825dfc 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-f16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu
index d39838b96..b5c6869f4 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu
index 834d40f6c..4e21b0cca 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q4_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu
index f7d54668b..2eac321b3 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu
index 59e00ad83..f7d2c3b4e 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q5_1.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu
index 6e63893de..a013f400b 100644
--- a/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu
+++ b/ggml-cuda/template-instances/fattn-vec-f32-instance-hs64-f16-q8_0.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-vec-f32.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu
index ca356ad6c..2d94e65c2 100644
--- a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-wmma-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu
index 430ee64eb..c3d9df3c4 100644
--- a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqfloat-cpb32.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-wmma-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu
index d421d17cc..bb680e401 100644
--- a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb16.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-wmma-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu
index deacd5f58..073f71b1f 100644
--- a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb32.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-wmma-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu
index 282896733..d30710c5f 100644
--- a/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu
+++ b/ggml-cuda/template-instances/fattn-wmma-f16-instance-kqhalf-cpb8.cu
@@ -1,4 +1,4 @@
-// This file has been autogenerated by generate-variants.py, do not edit manually.
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
 
 #include "../fattn-wmma-f16.cuh"
 
diff --git a/ggml-cuda/template-instances/generate_cu_files.py b/ggml-cuda/template-instances/generate_cu_files.py
index ee5b460e0..ea58d0968 100755
--- a/ggml-cuda/template-instances/generate_cu_files.py
+++ b/ggml-cuda/template-instances/generate_cu_files.py
@@ -20,6 +20,18 @@ SOURCE_FATTN_WMMA_START = """// This file has been autogenerated by generate_cu_
 
 SOURCE_FATTN_WMMA_CASE = "DECL_FATTN_WMMA_F16_CASE({head_size}, {cols_per_block}, {kq_acc_t});\n"
 
+TYPES_MMQ = [
+    "GGML_TYPE_Q4_0", "GGML_TYPE_Q4_1", "GGML_TYPE_Q5_0", "GGML_TYPE_Q5_1", "GGML_TYPE_Q8_0",
+    "GGML_TYPE_Q2_K", "GGML_TYPE_Q3_K", "GGML_TYPE_Q4_K", "GGML_TYPE_Q5_K", "GGML_TYPE_Q6_K"
+]
+
+SOURCE_MMQ = """// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE({type});
+"""
+
 
 def get_short_name(long_quant_name):
     return long_quant_name.replace("GGML_TYPE_", "").lower()
@@ -57,3 +69,7 @@ for kq_acc_t in ["half", "float"]:
                 if kq_acc_t == "float" and cols_per_block == 32 and head_size == 256: # register spilling, bad performance
                     continue
                 f.write(SOURCE_FATTN_WMMA_CASE.format(kq_acc_t=kq_acc_t, cols_per_block=cols_per_block, head_size=head_size))
+
+for type in TYPES_MMQ:
+    with open(f"mmq-instance-{get_short_name(type)}.cu", "w") as f:
+        f.write(SOURCE_MMQ.format(type=type))
diff --git a/ggml-cuda/template-instances/mmq-instance-q2_k.cu b/ggml-cuda/template-instances/mmq-instance-q2_k.cu
new file mode 100644
index 000000000..6415369dc
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q2_k.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q2_K);
diff --git a/ggml-cuda/template-instances/mmq-instance-q3_k.cu b/ggml-cuda/template-instances/mmq-instance-q3_k.cu
new file mode 100644
index 000000000..ffb6213af
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q3_k.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q3_K);
diff --git a/ggml-cuda/template-instances/mmq-instance-q4_0.cu b/ggml-cuda/template-instances/mmq-instance-q4_0.cu
new file mode 100644
index 000000000..0c0b0c8a8
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q4_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q4_0);
diff --git a/ggml-cuda/template-instances/mmq-instance-q4_1.cu b/ggml-cuda/template-instances/mmq-instance-q4_1.cu
new file mode 100644
index 000000000..ee67f6942
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q4_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q4_1);
diff --git a/ggml-cuda/template-instances/mmq-instance-q4_k.cu b/ggml-cuda/template-instances/mmq-instance-q4_k.cu
new file mode 100644
index 000000000..9eeb3cd7f
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q4_k.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q4_K);
diff --git a/ggml-cuda/template-instances/mmq-instance-q5_0.cu b/ggml-cuda/template-instances/mmq-instance-q5_0.cu
new file mode 100644
index 000000000..cc57fb975
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q5_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q5_0);
diff --git a/ggml-cuda/template-instances/mmq-instance-q5_1.cu b/ggml-cuda/template-instances/mmq-instance-q5_1.cu
new file mode 100644
index 000000000..721ac790c
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q5_1.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q5_1);
diff --git a/ggml-cuda/template-instances/mmq-instance-q5_k.cu b/ggml-cuda/template-instances/mmq-instance-q5_k.cu
new file mode 100644
index 000000000..a2e90ffd5
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q5_k.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q5_K);
diff --git a/ggml-cuda/template-instances/mmq-instance-q6_k.cu b/ggml-cuda/template-instances/mmq-instance-q6_k.cu
new file mode 100644
index 000000000..470938fef
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q6_k.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q6_K);
diff --git a/ggml-cuda/template-instances/mmq-instance-q8_0.cu b/ggml-cuda/template-instances/mmq-instance-q8_0.cu
new file mode 100644
index 000000000..974477bbb
--- /dev/null
+++ b/ggml-cuda/template-instances/mmq-instance-q8_0.cu
@@ -0,0 +1,5 @@
+// This file has been autogenerated by generate_cu_files.py, do not edit manually.
+
+#include "../mmq.cuh"
+
+DECL_MMQ_CASE(GGML_TYPE_Q8_0);
diff --git a/ggml-cuda/vecdotq.cuh b/ggml-cuda/vecdotq.cuh
index df9752390..b9573a7c7 100644
--- a/ggml-cuda/vecdotq.cuh
+++ b/ggml-cuda/vecdotq.cuh
@@ -566,9 +566,9 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1_impl_mmq(
 }
 
 static __device__ __forceinline__ float vec_dot_q4_0_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
+    const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq + kbx;
 
     int v[VDR_Q4_0_Q8_1_MMVQ];
     int u[2*VDR_Q4_0_Q8_1_MMVQ];
@@ -585,9 +585,9 @@ static __device__ __forceinline__ float vec_dot_q4_0_q8_1(
 
 
 static __device__ __forceinline__ float vec_dot_q4_1_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
+    const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq + kbx;
 
     int v[VDR_Q4_1_Q8_1_MMVQ];
     int u[2*VDR_Q4_1_Q8_1_MMVQ];
@@ -603,9 +603,9 @@ static __device__ __forceinline__ float vec_dot_q4_1_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q5_0_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
+    const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq + kbx;
 
     int vl[VDR_Q5_0_Q8_1_MMVQ];
     int vh[VDR_Q5_0_Q8_1_MMVQ];
@@ -623,9 +623,9 @@ static __device__ __forceinline__ float vec_dot_q5_0_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q5_1_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
+    const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq + kbx;
 
     int vl[VDR_Q5_1_Q8_1_MMVQ];
     int vh[VDR_Q5_1_Q8_1_MMVQ];
@@ -643,9 +643,9 @@ static __device__ __forceinline__ float vec_dot_q5_1_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q8_0_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
+    const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq + kbx;
 
     int v[VDR_Q8_0_Q8_1_MMVQ];
     int u[VDR_Q8_0_Q8_1_MMVQ];
@@ -660,9 +660,9 @@ static __device__ __forceinline__ float vec_dot_q8_0_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q2_K_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q2_K * bq2_K = (const block_q2_K *) vbq;
+    const block_q2_K * bq2_K = (const block_q2_K *) vbq + kbx;
 
     const int bq8_offset = QR2_K * (iqs / QI8_1);
     const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
@@ -683,9 +683,9 @@ static __device__ __forceinline__ float vec_dot_q2_K_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q3_K_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q3_K * bq3_K = (const block_q3_K *) vbq;
+    const block_q3_K * bq3_K = (const block_q3_K *) vbq + kbx;
 
     const int bq8_offset = QR3_K * (iqs / (QI3_K/2));
     const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
@@ -710,9 +710,9 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
+    const block_q4_K * bq4_K = (const block_q4_K *) vbq + kbx;
 
     int    v[2];
     int    u[2*QR4_K];
@@ -756,9 +756,9 @@ static __device__ __forceinline__ float vec_dot_q4_K_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
+    const block_q5_K * bq5_K = (const block_q5_K *) vbq + kbx;
 
     int   vl[2];
     int   vh[2];
@@ -802,9 +802,9 @@ static __device__ __forceinline__ float vec_dot_q5_K_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_q6_K_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_q6_K * bq6_K = (const block_q6_K *) vbq;
+    const block_q6_K * bq6_K = (const block_q6_K *) vbq + kbx;
 
     const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4);
     const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8);
@@ -828,8 +828,8 @@ static __device__ __forceinline__ float vec_dot_q6_K_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq2_xxs_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-    const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+    const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq + kbx;
 
 #if QR2_XXS == 8
     const int ib32 = iqs;
@@ -872,9 +872,9 @@ static __device__ __forceinline__ float vec_dot_iq2_xxs_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq2_xs_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
+    const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq + kbx;
 
     const int ib32 = iqs;
     const uint16_t * q2 = bq2->qs + 4*ib32;
@@ -911,9 +911,9 @@ static __device__ __forceinline__ float vec_dot_iq2_xs_q8_1(
 
 // TODO
 static __device__ __forceinline__ float vec_dot_iq2_s_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
+    const block_iq2_s * bq2 = (const block_iq2_s *) vbq + kbx;
 
     const int ib32 = iqs;
     const int8_t  * q8 = bq8_1[ib32].qs;
@@ -951,9 +951,9 @@ static __device__ __forceinline__ float vec_dot_iq2_s_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq3_xxs_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
+    const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq + kbx;
 
     const int ib32 = iqs;
     const uint8_t  * q3 = bq2->qs + 8*ib32;
@@ -981,9 +981,9 @@ static __device__ __forceinline__ float vec_dot_iq3_xxs_q8_1(
 
 // TODO: don't use lookup table for signs
 static __device__ __forceinline__ float vec_dot_iq3_s_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
+    const block_iq3_s * bq2 = (const block_iq3_s *) vbq + kbx;
 
     const int ib32 = iqs;
     const uint8_t  * qs = bq2->qs + 8*ib32;
@@ -1008,8 +1008,8 @@ static __device__ __forceinline__ float vec_dot_iq3_s_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq1_s_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-    const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+    const block_iq1_s * bq1 = (const block_iq1_s *) vbq + kbx;
 
     const int ib32 = iqs;
     int sumi = 0;
@@ -1039,8 +1039,8 @@ static __device__ __forceinline__ float vec_dot_iq1_s_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq1_m_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
-    const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
+    const block_iq1_m * bq1 = (const block_iq1_m *) vbq + kbx;
 
     const int ib32 = iqs;
     int   sumi[2] = {0, 0};
@@ -1094,9 +1094,9 @@ static __device__ __forceinline__ void get_int_from_table_16(const uint32_t & q4
 #endif
 
 static __device__ __forceinline__ float vec_dot_iq4_nl_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
-    const block_iq4_nl * bq = (const block_iq4_nl *) vbq;
+    const block_iq4_nl * bq = (const block_iq4_nl *) vbq + kbx;
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
     const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs;
@@ -1128,10 +1128,10 @@ static __device__ __forceinline__ float vec_dot_iq4_nl_q8_1(
 }
 
 static __device__ __forceinline__ float vec_dot_iq4_xs_q8_1(
-    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs) {
+    const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & kbx, const int & iqs) {
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
+    const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq + kbx;
     const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
 
     // iqs is 0...7
@@ -1149,6 +1149,6 @@ static __device__ __forceinline__ float vec_dot_iq4_xs_q8_1(
     }
     return d * (sumi1 + sumi2);
 #else
-    return vec_dot_iq4_xs_q8_1(vbq, bq8_1, iqs);
+    return vec_dot_iq4_xs_q8_1(vbq, bq8_1, kbx, iqs);
 #endif
 }

From 7672adeec7a79ea271058c63106c142ba84f951a Mon Sep 17 00:00:00 2001
From: Galunid <karolek1231456@gmail.com>
Date: Wed, 5 Jun 2024 19:07:24 +0200
Subject: [PATCH 015/131] Fix encoding in python scripts (#7733)

---
 convert-hf-to-gguf-update.py | 1 +
 convert-hf-to-gguf.py        | 1 +
 2 files changed, 2 insertions(+)

diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py
index 84b72348d..6dae1a594 100755
--- a/convert-hf-to-gguf-update.py
+++ b/convert-hf-to-gguf-update.py
@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+# -*- coding: utf-8 -*-
 
 # This script downloads the tokenizer models of the specified models from Huggingface and
 # generates the get_vocab_base_pre() function for convert-hf-to-gguf.py
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index ad071b974..afb9704c8 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -1,4 +1,5 @@
 #!/usr/bin/env python3
+# -*- coding: utf-8 -*-
 
 from __future__ import annotations
 

From d67caea0d6e6c303d31b01d0a010973e6c908dff Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Thu, 6 Jun 2024 07:17:21 +0200
Subject: [PATCH 016/131] docker : add openmp lib (#7780)

---
 .devops/full-cuda.Dockerfile   | 2 +-
 .devops/full.Dockerfile        | 2 +-
 .devops/main-cuda.Dockerfile   | 3 +++
 .devops/main-vulkan.Dockerfile | 2 +-
 .devops/main.Dockerfile        | 3 +++
 .devops/server-cuda.Dockerfile | 2 +-
 .devops/server.Dockerfile      | 2 +-
 7 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/.devops/full-cuda.Dockerfile b/.devops/full-cuda.Dockerfile
index c01006efe..f6073f662 100644
--- a/.devops/full-cuda.Dockerfile
+++ b/.devops/full-cuda.Dockerfile
@@ -12,7 +12,7 @@ FROM ${BASE_CUDA_DEV_CONTAINER} as build
 ARG CUDA_DOCKER_ARCH=all
 
 RUN apt-get update && \
-    apt-get install -y build-essential python3 python3-pip git libcurl4-openssl-dev
+    apt-get install -y build-essential python3 python3-pip git libcurl4-openssl-dev libgomp1
 
 COPY requirements.txt   requirements.txt
 COPY requirements       requirements
diff --git a/.devops/full.Dockerfile b/.devops/full.Dockerfile
index 6d5943a2f..6f19afa9c 100644
--- a/.devops/full.Dockerfile
+++ b/.devops/full.Dockerfile
@@ -3,7 +3,7 @@ ARG UBUNTU_VERSION=22.04
 FROM ubuntu:$UBUNTU_VERSION as build
 
 RUN apt-get update && \
-    apt-get install -y build-essential python3 python3-pip git libcurl4-openssl-dev
+    apt-get install -y build-essential python3 python3-pip git libcurl4-openssl-dev libgomp1
 
 COPY requirements.txt   requirements.txt
 COPY requirements       requirements
diff --git a/.devops/main-cuda.Dockerfile b/.devops/main-cuda.Dockerfile
index 23f428944..5bcd45fe8 100644
--- a/.devops/main-cuda.Dockerfile
+++ b/.devops/main-cuda.Dockerfile
@@ -27,6 +27,9 @@ RUN make -j$(nproc)
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
+RUN apt-get update && \
+    apt-get install -y libgomp1
+
 COPY --from=build /app/main /main
 
 ENTRYPOINT [ "/main" ]
diff --git a/.devops/main-vulkan.Dockerfile b/.devops/main-vulkan.Dockerfile
index 6c2b2ed5b..1bdb52803 100644
--- a/.devops/main-vulkan.Dockerfile
+++ b/.devops/main-vulkan.Dockerfile
@@ -3,7 +3,7 @@ ARG UBUNTU_VERSION=jammy
 FROM ubuntu:$UBUNTU_VERSION as build
 
 # Install build tools
-RUN apt update && apt install -y git build-essential cmake wget
+RUN apt update && apt install -y git build-essential cmake wget libgomp1
 
 # Install Vulkan SDK
 RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
diff --git a/.devops/main.Dockerfile b/.devops/main.Dockerfile
index 763d75fce..98a58a4b9 100644
--- a/.devops/main.Dockerfile
+++ b/.devops/main.Dockerfile
@@ -13,6 +13,9 @@ RUN make -j$(nproc)
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
+RUN apt-get update && \
+    apt-get install -y libgomp1
+
 COPY --from=build /app/main /main
 
 ENV LC_ALL=C.utf8
diff --git a/.devops/server-cuda.Dockerfile b/.devops/server-cuda.Dockerfile
index 7f5228185..2532e69e8 100644
--- a/.devops/server-cuda.Dockerfile
+++ b/.devops/server-cuda.Dockerfile
@@ -30,7 +30,7 @@ RUN make -j$(nproc)
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
 RUN apt-get update && \
-    apt-get install -y libcurl4-openssl-dev
+    apt-get install -y libcurl4-openssl-dev libgomp1
 
 COPY --from=build /app/server /server
 
diff --git a/.devops/server.Dockerfile b/.devops/server.Dockerfile
index 0d09d3627..a41c16b65 100644
--- a/.devops/server.Dockerfile
+++ b/.devops/server.Dockerfile
@@ -16,7 +16,7 @@ RUN make -j$(nproc)
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
 RUN apt-get update && \
-    apt-get install -y libcurl4-openssl-dev
+    apt-get install -y libcurl4-openssl-dev libgomp1
 
 COPY --from=build /app/server /server
 

From 2d08b7fbb483c14bd2b173d4cd51ea3a4f862e8f Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Thu, 6 Jun 2024 07:19:49 +0200
Subject: [PATCH 017/131] docker : build only main and server in their images
 (#7782)

* add openmp lib to dockerfiles

* build only main and server in their docker images
---
 .devops/main-cuda.Dockerfile   | 2 +-
 .devops/main-rocm.Dockerfile   | 2 +-
 .devops/main.Dockerfile        | 2 +-
 .devops/server-cuda.Dockerfile | 2 +-
 .devops/server.Dockerfile      | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.devops/main-cuda.Dockerfile b/.devops/main-cuda.Dockerfile
index 5bcd45fe8..2aec4a85d 100644
--- a/.devops/main-cuda.Dockerfile
+++ b/.devops/main-cuda.Dockerfile
@@ -23,7 +23,7 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 # Enable CUDA
 ENV LLAMA_CUDA=1
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) main
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
diff --git a/.devops/main-rocm.Dockerfile b/.devops/main-rocm.Dockerfile
index 37576d68e..dcaeb3e72 100644
--- a/.devops/main-rocm.Dockerfile
+++ b/.devops/main-rocm.Dockerfile
@@ -40,6 +40,6 @@ ENV LLAMA_HIPBLAS=1
 ENV CC=/opt/rocm/llvm/bin/clang
 ENV CXX=/opt/rocm/llvm/bin/clang++
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) main
 
 ENTRYPOINT [ "/app/main" ]
diff --git a/.devops/main.Dockerfile b/.devops/main.Dockerfile
index 98a58a4b9..d2514c4ba 100644
--- a/.devops/main.Dockerfile
+++ b/.devops/main.Dockerfile
@@ -9,7 +9,7 @@ WORKDIR /app
 
 COPY . .
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) main
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
diff --git a/.devops/server-cuda.Dockerfile b/.devops/server-cuda.Dockerfile
index 2532e69e8..4e9747b82 100644
--- a/.devops/server-cuda.Dockerfile
+++ b/.devops/server-cuda.Dockerfile
@@ -25,7 +25,7 @@ ENV LLAMA_CUDA=1
 # Enable cURL
 ENV LLAMA_CURL=1
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) server
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
diff --git a/.devops/server.Dockerfile b/.devops/server.Dockerfile
index a41c16b65..bee63b966 100644
--- a/.devops/server.Dockerfile
+++ b/.devops/server.Dockerfile
@@ -11,7 +11,7 @@ COPY . .
 
 ENV LLAMA_CURL=1
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) server
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 

From f5d7b268ec4bf8628aa6ccc9f6631d0230dde76f Mon Sep 17 00:00:00 2001
From: Joan Fontanals <joan.fontanals.martinez@jina.ai>
Date: Thu, 6 Jun 2024 09:22:41 +0200
Subject: [PATCH 018/131] llama : add jina v2 base code (#7596)

* feat: add changes to handle jina v2 base code

* fix: do not complicate things

* fix: fix the usage of the code model

* fix: fix comments

* fix: fix linting issues

* fix: remove ollama patches

* style : minor

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---
 convert-hf-to-gguf-update.py   |  1 +
 convert-hf-to-gguf.py          |  7 ++++++-
 gguf-py/gguf/constants.py      |  1 +
 gguf-py/gguf/tensor_mapping.py |  3 +++
 llama.cpp                      | 17 +++++++++++++----
 5 files changed, 24 insertions(+), 5 deletions(-)

diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py
index 6dae1a594..f43b15760 100755
--- a/convert-hf-to-gguf-update.py
+++ b/convert-hf-to-gguf-update.py
@@ -83,6 +83,7 @@ models = [
     {"name": "jina-v2-es",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
     {"name": "jina-v2-de",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
     {"name": "smaug-bpe",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
+    {"name": "jina-v2-code",   "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-code", },
 ]
 
 
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index afb9704c8..a86864f04 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -475,6 +475,9 @@ class Model:
         if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
             # ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
             res = "smaug-bpe"
+        if chkhsh == "7967bfa498ade6b757b064f31e964dddbb80f8f9a4d68d4ba7998fcf281c531a":
+            # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-code
+            res = "jina-v2-code"
 
         if res is None:
             logger.warning("\n")
@@ -2452,11 +2455,13 @@ class JinaBertV2Model(BertModel):
 
     def get_tensors(self):
         for name, data in super().get_tensors():
-            if 'gated_layers' in name:
+            if 'gated_layer' in name:
                 d1 = data[:self.intermediate_size, :]
                 name1 = name.replace('gated_layers', 'gated_layers_w')
+                name1 = name1.replace('up_gated_layer', 'gated_layers_v')
                 d2 = data[self.intermediate_size:, :]
                 name2 = name.replace('gated_layers', 'gated_layers_v')
+                name2 = name2.replace('up_gated_layer', 'gated_layers_w')
                 yield name1, d1
                 yield name2, d2
                 continue
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index a3c024c89..8908585cc 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -415,6 +415,7 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.TOKEN_EMBD,
         MODEL_TENSOR.TOKEN_EMBD_NORM,
         MODEL_TENSOR.TOKEN_TYPES,
+        MODEL_TENSOR.ATTN_NORM_2,
         MODEL_TENSOR.ATTN_OUT_NORM,
         MODEL_TENSOR.ATTN_Q,
         MODEL_TENSOR.ATTN_Q_NORM,
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 83e3c4c33..81b4992a5 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -102,6 +102,7 @@ class TensorNameMap:
         # Attention norm 2
         MODEL_TENSOR.ATTN_NORM_2: (
             "transformer.h.{bid}.ln_attn",  # falcon40b
+            "encoder.layer.{bid}.layer_norm_1",             # jina-v2-code
         ),
 
         # Attention query-key-value
@@ -311,6 +312,7 @@ class TensorNameMap:
             "model.layers.{bid}.mlp.c_proj",                          # starcoder2
             "encoder.layer.{bid}.mlp.wo",                             # jina-bert-v2
             "model.layers.{bid}.residual_mlp.w2",                     # arctic
+            "encoder.layer.{bid}.mlp.down_layer",                     # jina-bert-v2
         ),
 
         MODEL_TENSOR.FFN_DOWN_EXP: (
@@ -350,6 +352,7 @@ class TensorNameMap:
             "encoder.layers.{bid}.norm2",                   # nomic-bert
             "transformer.decoder_layer.{bid}.rms_norm_3",   # Grok
             "encoder.layer.{bid}.mlp.layernorm",            # jina-bert-v2
+            "encoder.layer.{bid}.layer_norm_2"              # jina-v2-code
         ),
 
         MODEL_TENSOR.SSM_IN: (
diff --git a/llama.cpp b/llama.cpp
index 414d390e8..cefb4d1d5 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -704,6 +704,7 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_TOKEN_EMBD,      "token_embd" },
             { LLM_TENSOR_TOKEN_EMBD_NORM, "token_embd_norm" },
             { LLM_TENSOR_TOKEN_TYPES,     "token_types" },
+            { LLM_TENSOR_ATTN_NORM_2,     "blk.%d.attn_norm_2" },
             { LLM_TENSOR_ATTN_OUT_NORM,   "blk.%d.attn_output_norm" },
             { LLM_TENSOR_ATTN_Q,          "blk.%d.attn_q" },
             { LLM_TENSOR_ATTN_Q_NORM,     "blk.%d.attn_q_norm" },
@@ -4653,8 +4654,7 @@ static void llm_load_vocab(
                 LLAMA_LOG_WARN("%s: ************************************        \n", __func__);
                 LLAMA_LOG_WARN("%s:                                             \n", __func__);
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
-            } else if (
-                    tokenizer_pre == "default") {
+            } else if (tokenizer_pre == "default") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
             } else if (
                     tokenizer_pre == "llama3"   ||
@@ -4681,7 +4681,8 @@ static void llm_load_vocab(
                     tokenizer_pre == "jina-es" ||
                     tokenizer_pre == "jina-de" ||
                     tokenizer_pre == "jina-v2-es" ||
-                    tokenizer_pre == "jina-v2-de") {
+                    tokenizer_pre == "jina-v2-de" ||
+                    tokenizer_pre == "jina-v2-code") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_GPT2;
             } else if (
                     tokenizer_pre == "refact") {
@@ -5515,7 +5516,7 @@ static bool llm_load_tensors(
 
                             layer.ffn_down_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "bias", i),   {n_embd});
                         } else {
-                            layer.ffn_gate   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd,   n_ff});
+                            layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff});
                         }
 
                         layer.layer_out_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_LAYER_OUT_NORM, "weight", i), {n_embd});
@@ -5556,6 +5557,9 @@ static bool llm_load_tensors(
                         layer.attn_out_norm   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT_NORM, "weight", i), {n_embd}); //output_norm
                         layer.attn_out_norm_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT_NORM, "bias", i),   {n_embd});
 
+                        layer.attn_norm_2   = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "weight", i), {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+                        layer.attn_norm_2_b = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM_2, "bias", i),   {n_embd}, llama_model_loader::TENSOR_NOT_REQUIRED);
+
                         layer.ffn_up = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,        "weight", i), {n_embd, n_ff});
                         layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE,    "weight", i), {n_embd, n_ff});
 
@@ -8519,6 +8523,11 @@ struct llm_build_context {
             // attention layer norm
             cur = llm_build_norm(ctx0, cur, hparams, model.layers[il].attn_out_norm, model.layers[il].attn_out_norm_b, LLM_NORM, cb, il);
 
+            if (model.layers[il].attn_norm_2 != nullptr) {
+                cur = ggml_add(ctx0, cur, inpL); // re-add the layer input
+                cur = llm_build_norm(ctx0, cur, hparams, model.layers[il].attn_norm_2, model.layers[il].attn_norm_2_b, LLM_NORM, cb, il);
+            }
+
             struct ggml_tensor * ffn_inp = cur;
             cb(ffn_inp, "ffn_inp", il);
 

From 55b2d0849d3ec9e45e4a4d9e480f5fa7977872a6 Mon Sep 17 00:00:00 2001
From: Olivier Chafik <ochafik@users.noreply.github.com>
Date: Thu, 6 Jun 2024 10:07:06 +0100
Subject: [PATCH 019/131] grammars: x{min,max} repetition operator (#6640)

* grammars: x{min,max} repetition operator + tweak +/*/? to avoid duplication of original over alternates

* grammars: handle `x{n}` and fix `x{n,n}`

* grammars: document new repetition operators

* grammars: uniform use of int for min & max

* grammars: refactor parser test

* grammar: parsing tests w/ natural pretty print of updated expectations

* grammars: much prettier print of expectations (+ TEST_GRAMMAR_PARSER_PRINT_ALL=1 to force all)

* grammars: improve test pretty print again

* grammars: pretty print rules and chars

* grammars: fix copy rule skipping

* grammars: disallow `a{,}` (not allowed in regexps)

* Update common/grammar-parser.cpp

Co-authored-by: Clint Herron <hanclinto@gmail.com>

* grammars: fix copy rule skipping (again) & display of expectations

* grammars: more test cases

* grammars: update reps parsing to bring ? / * / + closer to before

* json: use new GBNF repetitions{m,n} syntax

* grammars: update performance gotchas w/ repetition advice

* Update examples/json_schema_to_grammar.py

Co-authored-by: Clint Herron <hanclinto@gmail.com>

* Update examples/server/public/json-schema-to-grammar.mjs

Co-authored-by: Clint Herron <hanclinto@gmail.com>

* grammars: comment on rule repetitions

* grammars: ensure unambiguous number alternatives

* grammar: nit typo switched error msgs

* grammar: nit numbering in comment

* json: update numeric rule to be unambiguous

* Apply suggestions from code review

Co-authored-by: Clint Herron <hanclinto@gmail.com>

* Update examples/server/public/json-schema-to-grammar.mjs

Co-authored-by: Clint Herron <hanclinto@gmail.com>

* json: fix integral-part

* grammar: add repetition tests

---------

Co-authored-by: Clint Herron <hanclinto@gmail.com>
---
 common/grammar-parser.cpp                     | 144 ++++-
 common/json-schema-to-grammar.cpp             |  80 +--
 examples/json_schema_to_grammar.py            |  70 +--
 examples/pydantic_models_to_grammar.py        |   2 +-
 .../server/public/json-schema-to-grammar.mjs  |  67 +-
 grammars/README.md                            |  12 +-
 tests/test-grammar-integration.cpp            |  76 +++
 tests/test-grammar-parser.cpp                 | 591 +++++++++++++-----
 tests/test-json-schema-to-grammar.cpp         | 112 ++--
 9 files changed, 736 insertions(+), 418 deletions(-)

diff --git a/common/grammar-parser.cpp b/common/grammar-parser.cpp
index b5bc7d49b..79d2b0354 100644
--- a/common/grammar-parser.cpp
+++ b/common/grammar-parser.cpp
@@ -46,8 +46,12 @@ namespace grammar_parser {
         state.rules[rule_id] = rule;
     }
 
+    static bool is_digit_char(char c) {
+        return '0' <= c && c <= '9';
+    }
+
     static bool is_word_char(char c) {
-        return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || ('0' <= c && c <= '9');
+        return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || is_digit_char(c);
     }
 
     static std::pair<uint32_t, const char *> parse_hex(const char * src, int size) {
@@ -99,6 +103,17 @@ namespace grammar_parser {
         return pos;
     }
 
+    static const char * parse_int(const char * src) {
+        const char * pos = src;
+        while (is_digit_char(*pos)) {
+            pos++;
+        }
+        if (pos == src) {
+            throw std::runtime_error(std::string("expecting integer at ") + src);
+        }
+        return pos;
+    }
+
     static std::pair<uint32_t, const char *> parse_char(const char * src) {
         if (*src == '\\') {
             switch (src[1]) {
@@ -137,6 +152,60 @@ namespace grammar_parser {
             bool                                 is_nested) {
         size_t last_sym_start = out_elements.size();
         const char * pos = src;
+
+        auto handle_repetitions = [&](int min_times, int max_times) {
+
+            if (last_sym_start == out_elements.size()) {
+                throw std::runtime_error(std::string("expecting preceding item to */+/?/{ at ") + pos);
+            }
+
+            // apply transformation to previous symbol (last_sym_start to end) according to
+            // the following rewrite rules:
+            // S{m,n} --> S S S (m times) S'(n-m)
+            //            S'(x)   ::= S S'(x-1) |
+            //            (... n-m definitions of these S' rules ...)
+            //            S'(1)   ::= S |
+            // S{m,} -->  S S S (m times) S'
+            //            S'     ::= S S' |
+            // S*     --> S{0,}
+            //        --> S'     ::= S S' |
+            // S+     --> S{1,}
+            //        --> S S'
+            //            S'     ::= S S' |
+            // S?     --> S{0,1}
+            //        --> S'
+            //            S'     ::= S |
+
+            std::vector<llama_grammar_element> previous_elements(out_elements.begin() + last_sym_start, out_elements.end());
+            if (min_times == 0) {
+                out_elements.resize(last_sym_start);
+            } else {
+                // Repeat the previous elements (min_times - 1) times
+                for (int i = 1; i < min_times; i++) {
+                    out_elements.insert(out_elements.end(), previous_elements.begin(), previous_elements.end());
+                }
+            }
+
+            uint32_t last_rec_rule_id = 0;
+            auto n_opt = max_times < 0 ? 1 : max_times - min_times;
+
+            std::vector<llama_grammar_element> rec_rule(previous_elements);
+            for (int i = 0; i < n_opt; i++) {
+                rec_rule.resize(previous_elements.size());
+                uint32_t rec_rule_id = generate_symbol_id(state, rule_name);
+                if (i > 0 || max_times < 0) {
+                    rec_rule.push_back({LLAMA_GRETYPE_RULE_REF, max_times < 0 ? rec_rule_id : last_rec_rule_id});
+                }
+                rec_rule.push_back({LLAMA_GRETYPE_ALT, 0});
+                rec_rule.push_back({LLAMA_GRETYPE_END, 0});
+                add_rule(state, rec_rule_id, rec_rule);
+                last_rec_rule_id = rec_rule_id;
+            }
+            if (n_opt > 0) {
+                out_elements.push_back({LLAMA_GRETYPE_RULE_REF, last_rec_rule_id});
+            }
+        };
+
         while (*pos) {
             if (*pos == '"') { // literal string
                 pos++;
@@ -197,40 +266,47 @@ namespace grammar_parser {
                     throw std::runtime_error(std::string("expecting ')' at ") + pos);
                 }
                 pos = parse_space(pos + 1, is_nested);
-            } else if (*pos == '*' || *pos == '+' || *pos == '?') { // repetition operator
-                if (last_sym_start == out_elements.size()) {
-                    throw std::runtime_error(std::string("expecting preceding item to */+/? at ") + pos);
-                }
-
-                // apply transformation to previous symbol (last_sym_start to end) according to
-                // rewrite rules:
-                // S* --> S' ::= S S' |
-                // S+ --> S' ::= S S' | S
-                // S? --> S' ::= S |
-                uint32_t sub_rule_id = generate_symbol_id(state, rule_name);
-                std::vector<llama_grammar_element> sub_rule;
-                // add preceding symbol to generated rule
-                sub_rule.insert(
-                    sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
-                if (*pos == '*' || *pos == '+') {
-                    // cause generated rule to recurse
-                    sub_rule.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
-                }
-                // mark start of alternate def
-                sub_rule.push_back({LLAMA_GRETYPE_ALT, 0});
-                if (*pos == '+') {
-                    // add preceding symbol as alternate only for '+' (otherwise empty)
-                    sub_rule.insert(
-                        sub_rule.end(), out_elements.begin() + last_sym_start, out_elements.end());
-                }
-                sub_rule.push_back({LLAMA_GRETYPE_END, 0});
-                add_rule(state, sub_rule_id, sub_rule);
-
-                // in original rule, replace previous symbol with reference to generated rule
-                out_elements.resize(last_sym_start);
-                out_elements.push_back({LLAMA_GRETYPE_RULE_REF, sub_rule_id});
-
+            } else if (*pos == '*') {
                 pos = parse_space(pos + 1, is_nested);
+                handle_repetitions(0, -1);
+            } else if (*pos == '+') {
+                pos = parse_space(pos + 1, is_nested);
+                handle_repetitions(1, -1);
+            } else if (*pos == '?') {
+                pos = parse_space(pos + 1, is_nested);
+                handle_repetitions(0, 1);
+            } else if (*pos == '{') {
+                pos = parse_space(pos + 1, is_nested);
+
+                if (!is_digit_char(*pos)) {
+                    throw std::runtime_error(std::string("expecting an int at ") + pos);
+                }
+                const char * int_end = parse_int(pos);
+                int min_times = std::stoul(std::string(pos, int_end - pos));
+                pos = parse_space(int_end, is_nested);
+
+                int max_times = -1;
+
+                if (*pos == '}') {
+                    max_times = min_times;
+                    pos = parse_space(pos + 1, is_nested);
+                } else if (*pos == ',') {
+                    pos = parse_space(pos + 1, is_nested);
+
+                    if (is_digit_char(*pos)) {
+                        const char * int_end = parse_int(pos);
+                        max_times = std::stoul(std::string(pos, int_end - pos));
+                        pos = parse_space(int_end, is_nested);
+                    }
+
+                    if (*pos != '}') {
+                        throw std::runtime_error(std::string("expecting '}' at ") + pos);
+                    }
+                    pos = parse_space(pos + 1, is_nested);
+                } else {
+                    throw std::runtime_error(std::string("expecting ',' at ") + pos);
+                }
+                handle_repetitions(min_times, max_times);
             } else {
                 break;
             }
diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 9a71f5d8d..737bae27c 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -16,58 +16,27 @@ static std::string join(Iterator begin, Iterator end, const std::string & separa
 
 static std::string repeat(const std::string & str, size_t n);
 
-static std::string build_repetition(const std::string & item_rule, int min_items, int max_items, const std::string & separator_rule = "", bool item_rule_is_literal = false) {
+static std::string build_repetition(const std::string & item_rule, int min_items, int max_items, const std::string & separator_rule = "") {
+    auto has_max = max_items != std::numeric_limits<int>::max();
+
+    if (min_items == 0 && max_items == 1) {
+        return item_rule + "?";
+    }
+
     if (separator_rule.empty()) {
-        if (min_items == 0 && max_items == 1) {
-            return item_rule + "?";
-        } else if (min_items == 1 && max_items == std::numeric_limits<int>::max()) {
+        if (min_items == 1 && !has_max) {
             return item_rule + "+";
-        }
-    }
-
-    std::string result;
-    if (min_items > 0) {
-        if (item_rule_is_literal && separator_rule.empty()) {
-            result = "\"" + repeat(std::string(item_rule.begin() + 1, item_rule.end() - 1), min_items) + "\"";
+        } else if (min_items == 0 && !has_max) {
+            return item_rule + "*";
         } else {
-            std::vector<std::string> items(min_items, item_rule);
-            result = join(items.begin(), items.end(), separator_rule.empty() ? " " : " " + separator_rule + " ");
+            return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}";
         }
     }
 
-    std::function<std::string(int, bool)> opt_repetitions = [&](int up_to_n, bool prefix_with_sep) -> std::string {
-        auto content = prefix_with_sep && !separator_rule.empty() ? separator_rule + " " + item_rule : item_rule;
-
-        if (up_to_n == 0) {
-            return "";
-        } else if (up_to_n == 1) {
-            return "(" + content + ")?";
-        } else if (!separator_rule.empty() && !prefix_with_sep) {
-            return "(" + content + " " + opt_repetitions(up_to_n - 1, true) + ")?";
-        } else {
-            std::string res = repeat("(" + content + " ", up_to_n);
-            // strip trailing space
-            res = res.substr(0, res.length() - 1);
-            res += repeat(")?", up_to_n);
-            return res;
-        }
-    };
-
-    if (min_items > 0 && max_items != min_items) {
-        result += " ";
+    auto result = item_rule + " " + build_repetition("(" + separator_rule + " " + item_rule + ")", min_items == 0 ? 0 : min_items - 1, has_max ? max_items - 1 : max_items);
+    if (min_items == 0) {
+        result = "(" + result + ")?";
     }
-
-    if (max_items != std::numeric_limits<int>::max()) {
-        result += opt_repetitions(max_items - min_items, min_items > 0);
-    } else {
-        std::string item_operator = "(" + (separator_rule.empty() ? "" : separator_rule + " ") + item_rule + ")";
-        if (min_items == 0 && !separator_rule.empty()) {
-            result = "(" + item_rule + " " + item_operator + "*)?";
-        } else {
-            result += item_operator + "*";
-        }
-    }
-
     return result;
 }
 
@@ -78,30 +47,24 @@ struct BuiltinRule {
     std::vector<std::string> deps;
 };
 
-const std::string _up_to_15_digits = build_repetition("[0-9]", 0, 15);
-
 std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
     {"boolean", {"(\"true\" | \"false\") space", {}}},
-    {"decimal-part", {"[0-9] " + _up_to_15_digits, {}}},
-    {"integral-part", {"[0-9] | [1-9] " + _up_to_15_digits, {}}},
+    {"decimal-part", {"[0-9]{1,16}", {}}},
+    {"integral-part", {"[0] | [1-9] [0-9]{0,15}", {}}},
     {"number", {"(\"-\"? integral-part) (\".\" decimal-part)? ([eE] [-+]? integral-part)? space", {"integral-part", "decimal-part"}}},
     {"integer", {"(\"-\"? integral-part) space", {"integral-part"}}},
     {"value", {"object | array | string | number | boolean | null", {"object", "array", "string", "number", "boolean", "null"}}},
     {"object", {"\"{\" space ( string \":\" space value (\",\" space string \":\" space value)* )? \"}\" space", {"string", "value"}}},
     {"array", {"\"[\" space ( value (\",\" space value)* )? \"]\" space", {"value"}}},
-    {"uuid", {"\"\\\"\" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "
-                "\"-\" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "
-                "\"-\" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "
-                "\"-\" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "
-                "\"-\" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] \"\\\"\" space", {}}},
-    {"char",   {"[^\"\\\\] | \"\\\\\" ([\"\\\\/bfnrt] | \"u\" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])", {}}},
+    {"uuid", {"\"\\\"\" [0-9a-fA-F]{8} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{12} \"\\\"\" space", {}}},
+    {"char",   {"[^\"\\\\] | \"\\\\\" ([\"\\\\/bfnrt] | \"u\" [0-9a-fA-F]{4})", {}}},
     {"string", {"\"\\\"\" char* \"\\\"\" space", {"char"}}},
     {"null", {"\"null\" space", {}}},
 };
 
 std::unordered_map<std::string, BuiltinRule> STRING_FORMAT_RULES = {
-    {"date", {"[0-9] [0-9] [0-9] [0-9] \"-\" ( \"0\" [1-9] | \"1\" [0-2] ) \"-\" ( \"0\" [1-9] | [1-2] [0-9] | \"3\" [0-1] )", {}}},
-    {"time", {"([01] [0-9] | \"2\" [0-3]) \":\" [0-5] [0-9] \":\" [0-5] [0-9] ( \".\" [0-9] [0-9] [0-9] )? ( \"Z\" | ( \"+\" | \"-\" ) ( [01] [0-9] | \"2\" [0-3] ) \":\" [0-5] [0-9] )", {}}},
+    {"date", {"[0-9]{4} \"-\" ( \"0\" [1-9] | \"1\" [0-2] ) \"-\" ( \"0\" [1-9] | [1-2] [0-9] | \"3\" [0-1] )", {}}},
+    {"time", {"([01] [0-9] | \"2\" [0-3]) \":\" [0-5] [0-9] \":\" [0-5] [0-9] ( \".\" [0-9]{3} )? ( \"Z\" | ( \"+\" | \"-\" ) ( [01] [0-9] | \"2\" [0-3] ) \":\" [0-5] [0-9] )", {}}},
     {"date-time", {"date \"T\" time", {"date", "time"}}},
     {"date-string", {"\"\\\"\" date \"\\\"\" space", {"date"}}},
     {"time-string", {"\"\\\"\" time \"\\\"\" space", {"time"}}},
@@ -385,8 +348,7 @@ private:
                         sub_is_literal ? "\"" + sub + "\"" : sub,
                         min_times,
                         max_times,
-                        "",
-                        sub_is_literal
+                        ""
                     );
                     seq.back().second = false;
                 } else {
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index 826cd3f72..7d889c3fe 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -6,52 +6,22 @@ import re
 import sys
 from typing import Any, Dict, List, Set, Tuple, Union
 
-def _build_repetition(item_rule, min_items, max_items, separator_rule=None, item_rule_is_literal=False):
+
+def _build_repetition(item_rule, min_items, max_items, separator_rule=None):
+
+    if min_items == 0 and max_items == 1:
+        return f'{item_rule}?'
+
     if not separator_rule:
-        if min_items == 0 and max_items == 1:
-            return f'{item_rule}?'
-        elif min_items == 1 and max_items is None:
+        if min_items == 1 and max_items is None:
             return f'{item_rule}+'
-
-    result = ''
-
-    if min_items > 0:
-        if item_rule_is_literal and separator_rule is None:
-            result = '"' + (item_rule[1:-1] * min_items) + '"'
+        elif min_items == 0 and max_items is None:
+            return f'{item_rule}*'
         else:
-            result = (f' {separator_rule} ' if separator_rule else ' ').join([item_rule] * min_items)
+            return f'{item_rule}{{{min_items},{max_items if max_items is not None else ""}}}'
 
-    def opt_repetitions(up_to_n, prefix_with_sep=False):
-        '''
-            - n=4, no sep:             '(a (a (a (a)?)?)?)?'
-            - n=4, sep=',', prefix:    '("," a ("," a ("," a ("," a)?)?)?)?'
-            - n=4, sep=',', no prefix: '(a ("," a ("," a ("," a)?)?)?)?'
-        '''
-
-        content = f'{separator_rule} {item_rule}' if prefix_with_sep and separator_rule else item_rule
-        if up_to_n == 0:
-            return ''
-        elif up_to_n == 1:
-            return f'({content})?'
-        elif separator_rule and not prefix_with_sep:
-            return f'({content} {opt_repetitions(up_to_n - 1, prefix_with_sep=True)})?'
-        else:
-            return (f'({content} ' * up_to_n).rstrip() + (')?' * up_to_n)
-
-    if min_items > 0 and max_items != min_items:
-        result += ' '
-
-    if max_items is not None:
-        result += opt_repetitions(max_items - min_items, prefix_with_sep=min_items > 0)
-    else:
-        item_operator = f'({separator_rule + " " if separator_rule else ""}{item_rule})'
-
-        if min_items == 0 and separator_rule:
-            result = f'({item_rule} {item_operator}*)?'
-        else:
-            result += f'{item_operator}*'
-
-    return result
+    result = item_rule + ' ' + _build_repetition(f'({separator_rule} {item_rule})', min_items - 1 if min_items > 0 else 0, max_items - 1 if max_items is not None else None)
+    return f'({result})?' if min_items == 0 else result
 
 
 class BuiltinRule:
@@ -59,31 +29,29 @@ class BuiltinRule:
         self.content = content
         self.deps = deps or []
 
-_up_to_15_digits = _build_repetition('[0-9]', 0, 15)
-
 # whitespace is constrained to a single space char to prevent model "running away" in
 # whitespace. Also maybe improves generation quality?
 SPACE_RULE = '" "?'
 
 PRIMITIVE_RULES = {
     'boolean'      : BuiltinRule('("true" | "false") space', []),
-    'decimal-part' : BuiltinRule('[0-9] ' + _up_to_15_digits, []),
-    'integral-part': BuiltinRule('[0-9] | [1-9] ' + _up_to_15_digits, []),
+    'decimal-part' : BuiltinRule('[0-9]{1,16}', []),
+    'integral-part': BuiltinRule('[0] | [1-9] [0-9]{0,15}', []),
     'number'       : BuiltinRule('("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space', ['integral-part', 'decimal-part']),
     'integer'      : BuiltinRule('("-"? integral-part) space', ['integral-part']),
     'value'        : BuiltinRule('object | array | string | number | boolean | null', ['object', 'array', 'string', 'number', 'boolean', 'null']),
     'object'       : BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
     'array'        : BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
-    'uuid'         : BuiltinRule(r'"\"" ' + ' "-" '.join('[0-9a-fA-F]' * n for n in [8, 4, 4, 4, 12]) + r' "\"" space', []),
-    'char'         : BuiltinRule(r'[^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])', []),
+    'uuid'         : BuiltinRule(r'"\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\"" space', []),
+    'char'         : BuiltinRule(r'[^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})', []),
     'string'       : BuiltinRule(r'"\"" char* "\"" space', ['char']),
     'null'         : BuiltinRule('"null" space', []),
 }
 
 # TODO: support "uri", "email" string formats
 STRING_FORMAT_RULES = {
-    'date'            : BuiltinRule('[0-9] [0-9] [0-9] [0-9] "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
-    'time'            : BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9] [0-9] [0-9] )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
+    'date'            : BuiltinRule('[0-9]{4} "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
+    'time'            : BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
     'date-time'       : BuiltinRule('date "T" time', ['date', 'time']),
     'date-string'     : BuiltinRule('"\\"" date "\\"" space', ['date']),
     'time-string'     : BuiltinRule('"\\"" time "\\"" space', ['time']),
@@ -333,7 +301,7 @@ class SchemaConverter:
                             sub_rule_ids[sub] = id
                         sub = id
 
-                    seq[-1] = (_build_repetition(f'"{sub}"' if sub_is_literal else sub, min_times, max_times, item_rule_is_literal=sub_is_literal), False)
+                    seq[-1] = (_build_repetition(f'"{sub}"' if sub_is_literal else sub, min_times, max_times), False)
                 else:
                     literal = ''
                     while i < length:
diff --git a/examples/pydantic_models_to_grammar.py b/examples/pydantic_models_to_grammar.py
index 9acc7cc6d..f029c73a2 100644
--- a/examples/pydantic_models_to_grammar.py
+++ b/examples/pydantic_models_to_grammar.py
@@ -624,7 +624,7 @@ string ::= "\"" (
         "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
       )* "\"" ws
 ws ::= ([ \t\n] ws)?
-float ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
+float ::= ("-"? ([0] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
 
 integer ::= [0-9]+"""
 
diff --git a/examples/server/public/json-schema-to-grammar.mjs b/examples/server/public/json-schema-to-grammar.mjs
index 8e0be1b40..cef11eab8 100644
--- a/examples/server/public/json-schema-to-grammar.mjs
+++ b/examples/server/public/json-schema-to-grammar.mjs
@@ -2,57 +2,26 @@
 const SPACE_RULE = '" "?';
 
 function _buildRepetition(itemRule, minItems, maxItems, opts={}) {
+  if (minItems === 0 && maxItems === 1) {
+    return `${itemRule}?`;
+  }
+
+
   const separatorRule = opts.separatorRule ?? '';
   const itemRuleIsLiteral = opts.itemRuleIsLiteral ?? false
 
   if (separatorRule === '') {
-    if (minItems === 0 && maxItems === 1) {
-      return `${itemRule}?`;
-    } else if (minItems === 1 && maxItems === undefined) {
+    if (minItems === 1 && maxItems === undefined) {
       return `${itemRule}+`;
-    }
-  }
-
-  let result = '';
-  if (minItems > 0) {
-    if (itemRuleIsLiteral && separatorRule === '') {
-      result = `"${itemRule.slice(1, -1).repeat(minItems)}"`;
+    } else if (minItems === 0 && maxItems === undefined) {
+      return `${itemRule}*`;
     } else {
-      result = Array.from({ length: minItems }, () => itemRule)
-        .join(separatorRule !== '' ? ` ${separatorRule} ` : ' ');
+      return `${itemRule}{${minItems},${maxItems !== undefined ? maxItems : ''}}`;
     }
   }
 
-  const optRepetitions = (upToN, prefixWithSep=false) => {
-    const content = separatorRule !== '' && prefixWithSep ? `${separatorRule} ${itemRule}` : itemRule;
-    if (upToN === 0) {
-      return '';
-    } else if (upToN === 1) {
-      return `(${content})?`;
-    } else if (separatorRule !== '' && !prefixWithSep) {
-      return `(${content} ${optRepetitions(upToN - 1, true)})?`;
-    } else {
-      return Array.from({ length: upToN }, () => `(${content}`).join(' ').trim() + Array.from({ length: upToN }, () => ')?').join('');
-    }
-  };
-
-  if (minItems > 0 && maxItems !== minItems) {
-    result += ' ';
-  }
-
-  if (maxItems !== undefined) {
-    result += optRepetitions(maxItems - minItems, minItems > 0);
-  } else {
-    const itemOperator = `(${separatorRule !== '' ? separatorRule + ' ' : ''}${itemRule})`;
-
-    if (minItems === 0 && separatorRule !== '') {
-      result = `(${itemRule} ${itemOperator}*)?`;
-    } else {
-      result += `${itemOperator}*`;
-    }
-  }
-
-  return result;
+  const result = itemRule + ' ' + _buildRepetition(`(${separatorRule} ${itemRule})`, minItems > 0 ? minItems - 1 : 0, maxItems !== undefined ? maxItems - 1 : undefined);
+  return minItems === 0 ? `(${result})?` : result;
 }
 
 class BuiltinRule {
@@ -62,27 +31,25 @@ class BuiltinRule {
   }
 }
 
-const UP_TO_15_DIGITS = _buildRepetition('[0-9]', 0, 15);
-
 const PRIMITIVE_RULES = {
   boolean        : new BuiltinRule('("true" | "false") space', []),
-  'decimal-part' : new BuiltinRule('[0-9] ' + UP_TO_15_DIGITS, []),
-  'integral-part': new BuiltinRule('[0-9] | [1-9] ' + UP_TO_15_DIGITS, []),
+  'decimal-part' : new BuiltinRule('[0-9]{1,16}', []),
+  'integral-part': new BuiltinRule('[0] | [1-9] [0-9]{0,15}', []),
   number         : new BuiltinRule('("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space', ['integral-part', 'decimal-part']),
   integer        : new BuiltinRule('("-"? integral-part) space', ['integral-part']),
   value          : new BuiltinRule('object | array | string | number | boolean | null', ['object', 'array', 'string', 'number', 'boolean', 'null']),
   object         : new BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
   array          : new BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
-  uuid           : new BuiltinRule('"\\"" ' + [8, 4, 4, 4, 12].map(n => [...new Array(n)].map(_ => '[0-9a-fA-F]').join('')).join(' "-" ') + ' "\\"" space', []),
-  char           : new BuiltinRule(`[^"\\\\] | "\\\\" (["\\\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])`, []),
+  uuid           : new BuiltinRule('"\\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\\"" space', []),
+  char           : new BuiltinRule(`[^"\\\\] | "\\\\" (["\\\\/bfnrt] | "u" [0-9a-fA-F]{4})`, []),
   string         : new BuiltinRule(`"\\"" char* "\\"" space`, ['char']),
   null           : new BuiltinRule('"null" space', []),
 };
 
 // TODO: support "uri", "email" string formats
 const STRING_FORMAT_RULES = {
-  'date'            : new BuiltinRule('[0-9] [0-9] [0-9] [0-9] "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
-  'time'            : new BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9] [0-9] [0-9] )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
+  'date'            : new BuiltinRule('[0-9]{4} "-" ( "0" [1-9] | "1" [0-2] ) "-" ( \"0\" [1-9] | [1-2] [0-9] | "3" [0-1] )', []),
+  'time'            : new BuiltinRule('([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )', []),
   'date-time'       : new BuiltinRule('date "T" time', ['date', 'time']),
   'date-string'     : new BuiltinRule('"\\"" date "\\"" space', ['date']),
   'time-string'     : new BuiltinRule('"\\"" time "\\"" space', ['time']),
diff --git a/grammars/README.md b/grammars/README.md
index 2b8384d9d..3ffc7cec0 100644
--- a/grammars/README.md
+++ b/grammars/README.md
@@ -59,9 +59,13 @@ Parentheses `()` can be used to group sequences, which allows for embedding alte
 
 ## Repetition and Optional Symbols
 
-- `*` after a symbol or sequence means that it can be repeated zero or more times.
-- `+` denotes that the symbol or sequence should appear one or more times.
-- `?` makes the preceding symbol or sequence optional.
+- `*` after a symbol or sequence means that it can be repeated zero or more times (equivalent to `{0,}`).
+- `+` denotes that the symbol or sequence should appear one or more times (equivalent to `{1,}`).
+- `?` makes the preceding symbol or sequence optional (equivalent to `{0,1}`).
+- `{m}` repeats the precedent symbol or sequence exactly `m` times
+- `{m,}` repeats the precedent symbol or sequence at least `m` times
+- `{m,n}` repeats the precedent symbol or sequence at between `m` and `n` times (included)
+- `{0,n}` repeats the precedent symbol or sequence at most `n` times (included)
 
 ## Comments and newlines
 
@@ -98,4 +102,4 @@ Grammars currently have performance gotchas (see https://github.com/ggerganov/ll
 
 A common pattern is to allow repetitions of a pattern `x` up to N times.
 
-While semantically correct, the syntax `x? x? x?.... x?` (with N repetitions) will result in extremely slow inference. Instead, you can write `(x (x (x ... (x)?...)?)?)?` (w/ N-deep nesting)
+While semantically correct, the syntax `x? x? x?.... x?` (with N repetitions) may result in extremely slow sampling. Instead, you can write `x{0,N}` (or `(x (x (x ... (x)?...)?)?)?` w/ N-deep nesting in earlier llama.cpp versions).
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 01c5bb27a..9bdab05af 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -292,6 +292,82 @@ static void test_quantifiers() {
             "catyyy",
         }
     );
+    test_grammar(
+        "simple exact repetition",
+        // Grammar
+        R"""(
+            root ::= [ab]{4}
+        )""",
+        // Passing strings
+        {
+            "aaaa",
+            "bbbb",
+            "abab",
+        },
+        // Failing strings
+        {
+            "a",
+            "b",
+            "aaaaa",
+        }
+    );
+    test_grammar(
+        "simple min repetition",
+        // Grammar
+        R"""(
+            root ::= [ab]{4,}
+        )""",
+        // Passing strings
+        {
+            "aaaa",
+            "aaaaab",
+            "bbbb",
+            "ababab",
+        },
+        // Failing strings
+        {
+            "",
+            "aba",
+        }
+    );
+    test_grammar(
+        "simple max repetition",
+        // Grammar
+        R"""(
+            root ::= [ab]{0,4}
+        )""",
+        // Passing strings
+        {
+            "",
+            "a",
+            "aa",
+            "aaa",
+            "aaab",
+        },
+        // Failing strings
+        {
+            "aaaaa",
+        }
+    );
+    test_grammar(
+        "min / max repetition",
+        // Grammar
+        R"""(
+            root ::= ("0x" [A-F0-9]{2} " "?){3,5}
+        )""",
+        // Passing strings
+        {
+            "0xFF 0x12 0xAB",
+            "0xFF 0x12 0xAB 0x00 0x00",
+        },
+        // Failing strings
+        {
+            "",
+            "0xFF",
+            "0xFF 0x12",
+            "0xFF 0x12 0xAB 0x00 0x00 0x00",
+        }
+    );
 }
 
 static void test_failure_missing_root() {
diff --git a/tests/test-grammar-parser.cpp b/tests/test-grammar-parser.cpp
index 91939e276..5df5abb25 100644
--- a/tests/test-grammar-parser.cpp
+++ b/tests/test-grammar-parser.cpp
@@ -7,28 +7,79 @@
 
 #include <cassert>
 
-int main()
-{
-    grammar_parser::parse_state parsed_grammar;
+static const char * type_str(llama_gretype type) {
+    switch (type) {
+        case LLAMA_GRETYPE_CHAR: return "LLAMA_GRETYPE_CHAR";
+        case LLAMA_GRETYPE_CHAR_NOT: return "LLAMA_GRETYPE_CHAR_NOT";
+        case LLAMA_GRETYPE_CHAR_ALT: return "LLAMA_GRETYPE_CHAR_ALT";
+        case LLAMA_GRETYPE_CHAR_RNG_UPPER: return "LLAMA_GRETYPE_CHAR_RNG_UPPER";
+        case LLAMA_GRETYPE_RULE_REF: return "LLAMA_GRETYPE_RULE_REF";
+        case LLAMA_GRETYPE_ALT: return "LLAMA_GRETYPE_ALT";
+        case LLAMA_GRETYPE_END: return "LLAMA_GRETYPE_END";
+        default: return "?";
+    }
+}
 
-    const char *grammar_bytes = R"""(root  ::= (expr "=" term "\n")+
-expr  ::= term ([-+*/] term)*
-term  ::= [0-9]+)""";
+static void verify_parsing(const char *grammar_bytes, const std::vector<std::pair<std::string, uint32_t>> expected, const std::vector<llama_grammar_element> &expected_rules) {
+    uint32_t index = 0;
+    grammar_parser::parse_state parsed_grammar = grammar_parser::parse(grammar_bytes);
 
-    parsed_grammar = grammar_parser::parse(grammar_bytes);
+    std::map<uint32_t, std::string> symbol_names;
+    for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it) {
+        symbol_names[it->second] = it->first;
+    }
 
-    std::vector<std::pair<std::string, uint32_t>> expected = {
-        {"expr", 2},
-        {"expr_5", 5},
-        {"expr_6", 6},
-        {"root", 0},
-        {"root_1", 1},
-        {"root_4", 4},
-        {"term", 3},
-        {"term_7", 7},
+    auto print_all = [&]() {
+        fprintf(stderr, "    verify_parsing(R\"\"\"(%s)\"\"\", {\n", grammar_bytes);
+        for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it) {
+            fprintf(stderr, "        {\"%s\", %u},\n", it->first.c_str(), it->second);
+        }
+        fprintf(stderr, "    }, {\n");
+        for (size_t i_rule = 0; i_rule < parsed_grammar.rules.size(); i_rule++) {
+            fprintf(stderr, "        // %s (index %zu)\n", symbol_names[i_rule].c_str(), i_rule);
+            auto & rule = parsed_grammar.rules[i_rule];
+            for (uint32_t i = 0; i < rule.size(); i++) {
+                std::string rule_str;
+                fprintf(stderr, "        {%s, ", type_str(rule[i].type));
+                if (rule[i].type == LLAMA_GRETYPE_CHAR || rule[i].type == LLAMA_GRETYPE_CHAR_ALT ||
+                    rule[i].type == LLAMA_GRETYPE_CHAR_NOT || rule[i].type == LLAMA_GRETYPE_CHAR_RNG_UPPER) {
+                    char c = rule[i].value;
+                    if (c == '\n') {
+                        fprintf(stderr, "'\\n'");
+                    } else if (c == '\t') {
+                        fprintf(stderr, "'\\t'");
+                    } else if (c == '\r') {
+                        fprintf(stderr, "'\\r'");
+                    } else if (c == '\0') {
+                        fprintf(stderr, "'\\0'");
+                    } else {
+                        fprintf(stderr, "'%c'", c);
+                    }
+                } else if (rule[i].type == LLAMA_GRETYPE_RULE_REF) {
+                    fprintf(stderr, "/* %s */ %u", symbol_names[rule[i].value].c_str(), rule[i].value);
+                } else {
+                    fprintf(stderr, "%u", rule[i].value);
+                }
+                fprintf(stderr, "},\n");
+            }
+        }
+        fprintf(stderr, "    });\n");
     };
 
-    uint32_t index = 0;
+    if (getenv("TEST_GRAMMAR_PARSER_PRINT_ALL")) {
+        print_all();
+        fprintf(stderr, "\n");
+        return;
+    }
+
+    fprintf(stderr, "Testing grammar:%s\n", grammar_bytes);
+
+    if (parsed_grammar.symbol_ids.size() != expected.size()) {
+        fprintf(stderr, "Code to update expectation (set TEST_GRAMMAR_PARSER_PRINT_ALL=1 to print all):\n");
+        print_all();
+        assert(parsed_grammar.symbol_ids.size() == expected.size());
+    }
+
     for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it)
     {
         std::string key = it->first;
@@ -38,51 +89,18 @@ term  ::= [0-9]+)""";
         // pretty print error message before asserting
         if (expected_pair.first != key || expected_pair.second != value)
         {
+            fprintf(stderr, "index: %u\n", index);
             fprintf(stderr, "expected_pair: %s, %u\n", expected_pair.first.c_str(), expected_pair.second);
             fprintf(stderr, "actual_pair: %s, %u\n", key.c_str(), value);
             fprintf(stderr, "expected_pair != actual_pair\n");
+            fprintf(stderr, "Code to update expectation (set TEST_GRAMMAR_PARSER_PRINT_ALL=1 to print all):\n");
+            print_all();
         }
 
         assert(expected_pair.first == key && expected_pair.second == value);
 
         index++;
     }
-    std::vector<llama_grammar_element> expected_rules = {
-        {LLAMA_GRETYPE_RULE_REF, 4},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 2},
-        {LLAMA_GRETYPE_CHAR, 61},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_CHAR, 10},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_RULE_REF, 6},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 7},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 1},
-        {LLAMA_GRETYPE_RULE_REF, 4},
-        {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_RULE_REF, 1},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 45},
-        {LLAMA_GRETYPE_CHAR_ALT, 43},
-        {LLAMA_GRETYPE_CHAR_ALT, 42},
-        {LLAMA_GRETYPE_CHAR_ALT, 47},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 5},
-        {LLAMA_GRETYPE_RULE_REF, 6},
-        {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 48},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
-        {LLAMA_GRETYPE_RULE_REF, 7},
-        {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_CHAR, 48},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
-        {LLAMA_GRETYPE_END, 0},
-    };
 
     index = 0;
     for (auto rule : parsed_grammar.rules)
@@ -97,28 +115,306 @@ term  ::= [0-9]+)""";
             if (expected_element.type != element.type || expected_element.value != element.value)
             {
                 fprintf(stderr, "index: %u\n", index);
-                fprintf(stderr, "expected_element: %d, %u\n", expected_element.type, expected_element.value);
-                fprintf(stderr, "actual_element: %d, %u\n", element.type, element.value);
+                fprintf(stderr, "expected_element: %s, %u\n", type_str(expected_element.type), expected_element.value);
+                fprintf(stderr, "actual_element: %s, %u\n", type_str(element.type), element.value);
                 fprintf(stderr, "expected_element != actual_element\n");
+                fprintf(stderr, "all elements:\n");
+                fprintf(stderr, "Code to update expectation (set TEST_GRAMMAR_PARSER_PRINT_ALL=1 to print all):\n");
+                print_all();
             }
 
             assert(expected_element.type == element.type && expected_element.value == element.value);
             index++;
         }
     }
+}
 
-    const char *longer_grammar_bytes = R"""(
-    root  ::= (expr "=" ws term "\n")+
-    expr  ::= term ([-+*/] term)*
-    term  ::= ident | num | "(" ws expr ")" ws
-    ident ::= [a-z] [a-z0-9_]* ws
-    num   ::= [0-9]+ ws
-    ws    ::= [ \t\n]*
-    )""";
+static void verify_failure(const char *grammar_bytes) {
+    fprintf(stderr, "Testing expected failure:%s\n", grammar_bytes);
+    auto result = grammar_parser::parse(grammar_bytes);
+    assert(result.rules.empty() && "should have failed");
+}
 
-    parsed_grammar = grammar_parser::parse(longer_grammar_bytes);
+int main()
+{
+    verify_failure(R"""(
+        root ::= "a"{,}"
+    )""");
 
-    expected = {
+    verify_failure(R"""(
+        root ::= "a"{,10}"
+    )""");
+
+    verify_parsing(R"""(
+        root  ::= "a"
+    )""", {
+        {"root", 0},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a" | [bdx-z] | [^1-3]
+    )""", {
+        {"root", 0},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_CHAR, 'b'},
+        {LLAMA_GRETYPE_CHAR_ALT, 'd'},
+        {LLAMA_GRETYPE_CHAR_ALT, 'x'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 'z'},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_CHAR_NOT, '1'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '3'},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= a+
+        a     ::= "a"
+    )""", {
+        {"a", 1},
+        {"root", 0},
+        {"root_2", 2},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* a */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_END, 0},
+        // a (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+        // root_2 (index 2)
+        {LLAMA_GRETYPE_RULE_REF, /* a */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"+
+    )""", {
+        {"root", 0},
+        {"root_1", 1},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= a?
+        a     ::= "a"
+    )""", {
+        {"a", 1},
+        {"root", 0},
+        {"root_2", 2},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_END, 0},
+        // a (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+        // root_2 (index 2)
+        {LLAMA_GRETYPE_RULE_REF, /* a */ 1},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"?
+    )""", {
+        {"root", 0},
+        {"root_1", 1},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= a*
+        a     ::= "a"
+    )""", {
+        {"a", 1},
+        {"root", 0},
+        {"root_2", 2},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_END, 0},
+        // a (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+        // root_2 (index 2)
+        {LLAMA_GRETYPE_RULE_REF, /* a */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"*
+    )""", {
+        {"root", 0},
+        {"root_1", 1},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"{2}
+    )""", {
+        {"root", 0},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"{2,}
+    )""", {
+        {"root", 0},
+        {"root_1", 1},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"{ 4}
+    )""", {
+        {"root", 0},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= "a"{2,4}
+    )""", {
+        {"root", 0},
+        {"root_1", 1},
+        {"root_2", 2},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_2 */ 2},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+        // root_2 (index 2)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= (expr "=" term "\n")+
+        expr  ::= term ([-+*/] term)*
+        term  ::= [0-9]+
+    )""", {
+        {"expr", 2},
+        {"expr_5", 5},
+        {"expr_6", 6},
+        {"root", 0},
+        {"root_1", 1},
+        {"root_4", 4},
+        {"term", 3},
+        {"term_7", 7},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_4 */ 4},
+        {LLAMA_GRETYPE_END, 0},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_RULE_REF, /* expr */ 2},
+        {LLAMA_GRETYPE_CHAR, '='},
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 3},
+        {LLAMA_GRETYPE_CHAR, '\n'},
+        {LLAMA_GRETYPE_END, 0},
+        // expr (index 2)
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 3},
+        {LLAMA_GRETYPE_RULE_REF, /* expr_6 */ 6},
+        {LLAMA_GRETYPE_END, 0},
+        // term (index 3)
+        {LLAMA_GRETYPE_CHAR, '0'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '9'},
+        {LLAMA_GRETYPE_RULE_REF, /* term_7 */ 7},
+        {LLAMA_GRETYPE_END, 0},
+        // root_4 (index 4)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_4 */ 4},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+        // expr_5 (index 5)
+        {LLAMA_GRETYPE_CHAR, '-'},
+        {LLAMA_GRETYPE_CHAR_ALT, '+'},
+        {LLAMA_GRETYPE_CHAR_ALT, '*'},
+        {LLAMA_GRETYPE_CHAR_ALT, '/'},
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 3},
+        {LLAMA_GRETYPE_END, 0},
+        // expr_6 (index 6)
+        {LLAMA_GRETYPE_RULE_REF, /* expr_5 */ 5},
+        {LLAMA_GRETYPE_RULE_REF, /* expr_6 */ 6},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+        // term_7 (index 7)
+        {LLAMA_GRETYPE_CHAR, '0'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '9'},
+        {LLAMA_GRETYPE_RULE_REF, /* term_7 */ 7},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
+
+    verify_parsing(R"""(
+        root  ::= (expr "=" ws term "\n")+
+        expr  ::= term ([-+*/] term)*
+        term  ::= ident | num | "(" ws expr ")" ws
+        ident ::= [a-z] [a-z0-9_]* ws
+        num   ::= [0-9]+ ws
+        ws    ::= [ \t\n]*
+    )""", {
         {"expr", 2},
         {"expr_6", 6},
         {"expr_7", 7},
@@ -132,119 +428,88 @@ term  ::= [0-9]+)""";
         {"term", 4},
         {"ws", 3},
         {"ws_12", 12},
-    };
-
-    index = 0;
-    for (auto it = parsed_grammar.symbol_ids.begin(); it != parsed_grammar.symbol_ids.end(); ++it)
-    {
-        std::string key = it->first;
-        uint32_t value = it->second;
-        std::pair<std::string, uint32_t> expected_pair = expected[index];
-
-        // pretty print error message before asserting
-        if (expected_pair.first != key || expected_pair.second != value)
-        {
-            fprintf(stderr, "expected_pair: %s, %u\n", expected_pair.first.c_str(), expected_pair.second);
-            fprintf(stderr, "actual_pair: %s, %u\n", key.c_str(), value);
-            fprintf(stderr, "expected_pair != actual_pair\n");
-        }
-
-        assert(expected_pair.first == key && expected_pair.second == value);
-
-        index++;
-    }
-    expected_rules = {
-        {LLAMA_GRETYPE_RULE_REF, 5},
+    }, {
+        // root (index 0)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_5 */ 5},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 2},
-        {LLAMA_GRETYPE_CHAR, 61},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_RULE_REF, 4},
-        {LLAMA_GRETYPE_CHAR, 10},
+        // root_1 (index 1)
+        {LLAMA_GRETYPE_RULE_REF, /* expr */ 2},
+        {LLAMA_GRETYPE_CHAR, '='},
+        {LLAMA_GRETYPE_RULE_REF, /* ws */ 3},
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 4},
+        {LLAMA_GRETYPE_CHAR, '\n'},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 4},
-        {LLAMA_GRETYPE_RULE_REF, 7},
+        // expr (index 2)
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 4},
+        {LLAMA_GRETYPE_RULE_REF, /* expr_7 */ 7},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 12},
+        // ws (index 3)
+        {LLAMA_GRETYPE_RULE_REF, /* ws_12 */ 12},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 8},
+        // term (index 4)
+        {LLAMA_GRETYPE_RULE_REF, /* ident */ 8},
         {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_RULE_REF, 9},
+        {LLAMA_GRETYPE_RULE_REF, /* num */ 9},
         {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_CHAR, 40},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_RULE_REF, 2},
-        {LLAMA_GRETYPE_CHAR, 41},
-        {LLAMA_GRETYPE_RULE_REF, 3},
+        {LLAMA_GRETYPE_CHAR, '('},
+        {LLAMA_GRETYPE_RULE_REF, /* ws */ 3},
+        {LLAMA_GRETYPE_RULE_REF, /* expr */ 2},
+        {LLAMA_GRETYPE_CHAR, ')'},
+        {LLAMA_GRETYPE_RULE_REF, /* ws */ 3},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 1},
-        {LLAMA_GRETYPE_RULE_REF, 5},
-        {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_RULE_REF, 1},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 45},
-        {LLAMA_GRETYPE_CHAR_ALT, 43},
-        {LLAMA_GRETYPE_CHAR_ALT, 42},
-        {LLAMA_GRETYPE_CHAR_ALT, 47},
-        {LLAMA_GRETYPE_RULE_REF, 4},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 6},
-        {LLAMA_GRETYPE_RULE_REF, 7},
+        // root_5 (index 5)
+        {LLAMA_GRETYPE_RULE_REF, /* root_1 */ 1},
+        {LLAMA_GRETYPE_RULE_REF, /* root_5 */ 5},
         {LLAMA_GRETYPE_ALT, 0},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 97},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 122},
-        {LLAMA_GRETYPE_RULE_REF, 10},
-        {LLAMA_GRETYPE_RULE_REF, 3},
+        // expr_6 (index 6)
+        {LLAMA_GRETYPE_CHAR, '-'},
+        {LLAMA_GRETYPE_CHAR_ALT, '+'},
+        {LLAMA_GRETYPE_CHAR_ALT, '*'},
+        {LLAMA_GRETYPE_CHAR_ALT, '/'},
+        {LLAMA_GRETYPE_RULE_REF, /* term */ 4},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_RULE_REF, 11},
-        {LLAMA_GRETYPE_RULE_REF, 3},
-        {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 97},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 122},
-        {LLAMA_GRETYPE_CHAR_ALT, 48},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
-        {LLAMA_GRETYPE_CHAR_ALT, 95},
-        {LLAMA_GRETYPE_RULE_REF, 10},
+        // expr_7 (index 7)
+        {LLAMA_GRETYPE_RULE_REF, /* expr_6 */ 6},
+        {LLAMA_GRETYPE_RULE_REF, /* expr_7 */ 7},
         {LLAMA_GRETYPE_ALT, 0},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 48},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
-        {LLAMA_GRETYPE_RULE_REF, 11},
-        {LLAMA_GRETYPE_ALT, 0},
-        {LLAMA_GRETYPE_CHAR, 48},
-        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 57},
+        // ident (index 8)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 'z'},
+        {LLAMA_GRETYPE_RULE_REF, /* ident_10 */ 10},
+        {LLAMA_GRETYPE_RULE_REF, /* ws */ 3},
         {LLAMA_GRETYPE_END, 0},
-        {LLAMA_GRETYPE_CHAR, 32},
-        {LLAMA_GRETYPE_CHAR_ALT, 9},
-        {LLAMA_GRETYPE_CHAR_ALT, 10},
-        {LLAMA_GRETYPE_RULE_REF, 12},
+        // num (index 9)
+        {LLAMA_GRETYPE_CHAR, '0'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '9'},
+        {LLAMA_GRETYPE_RULE_REF, /* num_11 */ 11},
+        {LLAMA_GRETYPE_RULE_REF, /* ws */ 3},
+        {LLAMA_GRETYPE_END, 0},
+        // ident_10 (index 10)
+        {LLAMA_GRETYPE_CHAR, 'a'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, 'z'},
+        {LLAMA_GRETYPE_CHAR_ALT, '0'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '9'},
+        {LLAMA_GRETYPE_CHAR_ALT, '_'},
+        {LLAMA_GRETYPE_RULE_REF, /* ident_10 */ 10},
         {LLAMA_GRETYPE_ALT, 0},
         {LLAMA_GRETYPE_END, 0},
-    };
-
-    index = 0;
-    for (auto rule : parsed_grammar.rules)
-    {
-        // compare rule to expected rule
-        for (uint32_t i = 0; i < rule.size(); i++)
-        {
-            llama_grammar_element element = rule[i];
-            llama_grammar_element expected_element = expected_rules[index];
-
-            // pretty print error message before asserting
-            if (expected_element.type != element.type || expected_element.value != element.value)
-            {
-                fprintf(stderr, "index: %u\n", index);
-                fprintf(stderr, "expected_element: %d, %u\n", expected_element.type, expected_element.value);
-                fprintf(stderr, "actual_element: %d, %u\n", element.type, element.value);
-                fprintf(stderr, "expected_element != actual_element\n");
-            }
-
-            assert(expected_element.type == element.type && expected_element.value == element.value);
-            index++;
-        }
-    }
+        // num_11 (index 11)
+        {LLAMA_GRETYPE_CHAR, '0'},
+        {LLAMA_GRETYPE_CHAR_RNG_UPPER, '9'},
+        {LLAMA_GRETYPE_RULE_REF, /* num_11 */ 11},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+        // ws_12 (index 12)
+        {LLAMA_GRETYPE_CHAR, ' '},
+        {LLAMA_GRETYPE_CHAR_ALT, '\t'},
+        {LLAMA_GRETYPE_CHAR_ALT, '\n'},
+        {LLAMA_GRETYPE_RULE_REF, /* ws_12 */ 12},
+        {LLAMA_GRETYPE_ALT, 0},
+        {LLAMA_GRETYPE_END, 0},
+    });
 
     return 0;
 }
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index c5361b5b8..052c08073 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -105,9 +105,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
@@ -130,18 +130,18 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             ]
         })""",
         R"""(
-            date ::= [0-9] [0-9] [0-9] [0-9] "-" ( "0" [1-9] | "1" [0-2] ) "-" ( "0" [1-9] | [1-2] [0-9] | "3" [0-1] )
+            date ::= [0-9]{4} "-" ( "0" [1-9] | "1" [0-2] ) "-" ( "0" [1-9] | [1-2] [0-9] | "3" [0-1] )
             date-string ::= "\"" date "\"" space
             date-time ::= date "T" time
             date-time-string ::= "\"" date-time "\"" space
             root ::= "[" space tuple-0 "," space uuid "," space tuple-2 "," space tuple-3 "]" space
             space ::= " "?
-            time ::= ([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9] [0-9] [0-9] )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )
+            time ::= ([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )
             time-string ::= "\"" time "\"" space
             tuple-0 ::= date-string
             tuple-2 ::= time-string
             tuple-3 ::= date-time-string
-            uuid ::= "\"" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "-" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "-" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "-" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "-" [0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F][0-9a-fA-F] "\"" space
+            uuid ::= "\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\"" space
         )"""
     });
 
@@ -152,7 +152,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "type": "string"
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char* "\"" space
             space ::= " "?
         )"""
@@ -166,7 +166,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "minLength": 1
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char+ "\"" space
             space ::= " "?
         )"""
@@ -180,8 +180,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "minLength": 3
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            root ::= "\"" char char char (char)* "\"" space
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            root ::= "\"" char{3,} "\"" space
             space ::= " "?
         )"""
     });
@@ -194,8 +194,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "maxLength": 3
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            root ::= "\"" (char (char (char)?)?)? "\"" space
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            root ::= "\"" char{0,3} "\"" space
             space ::= " "?
         )"""
     });
@@ -209,8 +209,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "maxLength": 4
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            root ::= "\"" char (char (char (char)?)?)? "\"" space
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            root ::= "\"" char{1,4} "\"" space
             space ::= " "?
         )"""
     });
@@ -234,7 +234,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "type": "integer"
         })""",
         R"""(
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             root ::= ("-"? integral-part) space
             space ::= " "?
         )"""
@@ -283,7 +283,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "prefixItems": [{ "type": "string" }]
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "[" space string "]" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -297,9 +297,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "prefixItems": [{ "type": "string" }, { "type": "number" }]
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "[" space string "," space number "]" space
             space ::= " "?
@@ -314,8 +314,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "type": "number"
         })""",
         R"""(
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             root ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             space ::= " "?
         )"""
@@ -332,7 +332,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             boolean ::= ("true" | "false") space
-            root ::= "[" space boolean "," space boolean ("," space boolean)* "]" space
+            root ::= "[" space boolean ("," space boolean)+ "]" space
             space ::= " "?
         )"""
     });
@@ -348,7 +348,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             boolean ::= ("true" | "false") space
-            root ::= "[" space (boolean)? "]" space
+            root ::= "[" space boolean? "]" space
             space ::= " "?
         )"""
     });
@@ -380,12 +380,12 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "maxItems": 5
         })""",
         R"""(
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            decimal-part ::= [0-9]{1,16}
             integer ::= ("-"? integral-part) space
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             item ::= number | integer
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
-            root ::= "[" space item "," space item "," space item ("," space item ("," space item)?)? "]" space
+            root ::= "[" space item ("," space item){2,4} "]" space
             space ::= " "?
         )"""
     });
@@ -438,7 +438,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             dot ::= [^\x0A\x0D]
-            root ::= "\"" ("(" root-1 (root-1 (root-1)?)? ")")? root-1 root-1 root-1 "-" root-1 root-1 root-1 root-1 " " "aaa" ("a" ("a")?)? "nd" dot dot dot "\"" space
+            root ::= "\"" ("(" root-1{1,3} ")")? root-1{3,3} "-" root-1{4,4} " " "a"{3,5} "nd" dot dot dot "\"" space
             root-1 ::= [0-9]
             space ::= " "?
         )"""
@@ -466,7 +466,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space string
             b-kv ::= "\"b\"" space ":" space string
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space b-kv "," space c-kv "," space a-kv "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -486,7 +486,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             a-kv ::= "\"a\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv )? "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -510,7 +510,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             b-kv ::= "\"b\"" space ":" space string
             b-rest ::= ( "," space c-kv )?
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv a-rest | b-kv b-rest | c-kv )? "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -534,7 +534,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space string
             b-kv ::= "\"b\"" space ":" space string
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             d-kv ::= "\"d\"" space ":" space string
             d-rest ::= ( "," space c-kv )?
             root ::= "{" space b-kv "," space a-kv ( "," space ( d-kv d-rest | c-kv ) )? "}" space
@@ -554,9 +554,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             additional-kv ::= string ":" space additional-value
             additional-kvs ::= additional-kv ( "," space additional-kv )*
             additional-value ::= "[" space (number ("," space number)*)? "]" space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space  (additional-kvs )? "}" space
             space ::= " "?
@@ -574,9 +574,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
@@ -596,9 +596,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
@@ -637,9 +637,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space number
             additional-kv ::= string ":" space string
             additional-kvs ::= additional-kv ( "," space additional-kv )*
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv ( "," space ( additional-kvs ) )? "}" space
             space ::= " "?
@@ -662,9 +662,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-rest ::= additional-kvs
             additional-kv ::= string ":" space number
             additional-kvs ::= additional-kv ( "," space additional-kv )*
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space  (a-kv a-rest | additional-kvs )? "}" space
             space ::= " "?
@@ -690,9 +690,9 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             additional-kvs ::= additional-kv ( "," space additional-kv )*
             b-kv ::= "\"b\"" space ":" space number
             b-rest ::= additional-kvs
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv ( "," space ( b-kv b-rest | additional-kvs ) )? "}" space
             space ::= " "?
@@ -721,7 +721,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             }
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F])
+            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
             foo ::= "{" space foo-a-kv "}" space
             foo-a-kv ::= "\"a\"" space ":" space string
             root ::= foo
@@ -753,10 +753,10 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             alternative-1 ::= bar
             bar ::= "{" space  (bar-b-kv )? "}" space
             bar-b-kv ::= "\"b\"" space ":" space number
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            decimal-part ::= [0-9]{1,16}
             foo ::= "{" space  (foo-a-kv )? "}" space
             foo-a-kv ::= "\"a\"" space ":" space number
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= alternative-0 | alternative-1
             space ::= " "?
@@ -799,8 +799,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             c-kv ::= "\"c\"" space ":" space number
             d-kv ::= "\"d\"" space ":" space number
             d-rest ::= ( "," space c-kv )?
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv "," space b-kv ( "," space ( d-kv d-rest | c-kv ) )? "}" space
             space ::= " "?
@@ -842,8 +842,8 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "definitions": {}
         })""",
         R"""(
-            decimal-part ::= [0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
-            integral-part ::= [0-9] | [1-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9] ([0-9])?)?)?)?)?)?)?)?)?)?)?)?)?)?)?
+            decimal-part ::= [0-9]{1,16}
+            integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             number- ::= "{" space number-number-kv "}" space
             number-kv ::= "\"number\"" space ":" space number-

From a143c04375828b1f72eb1a326115791b63e79345 Mon Sep 17 00:00:00 2001
From: Mattheus Chediak <shammcity00@gmail.com>
Date: Thu, 6 Jun 2024 09:17:54 -0300
Subject: [PATCH 020/131] README minor fixes (#7798) [no ci]

derievatives --> derivatives
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9d2a59d89..09e8cad31 100644
--- a/README.md
+++ b/README.md
@@ -598,7 +598,7 @@ Building the program with BLAS support may lead to some performance improvements
 
 To obtain the official LLaMA 2 weights please see the <a href="#obtaining-and-using-the-facebook-llama-2-model">Obtaining and using the Facebook LLaMA 2 model</a> section. There is also a large selection of pre-quantized `gguf` models available on Hugging Face.
 
-Note: `convert.py` has been moved to `examples/convert-legacy-llama.py` and shouldn't be used for anything other than `Llama/Llama2/Mistral` models and their derievatives.
+Note: `convert.py` has been moved to `examples/convert-legacy-llama.py` and shouldn't be used for anything other than `Llama/Llama2/Mistral` models and their derivatives.
 It does not support LLaMA 3, you can use `convert-hf-to-gguf.py` with LLaMA 3 downloaded from Hugging Face.
 
 ```bash

From ad675e1c67a05b16e4e12abe30dbecfc808e7b7e Mon Sep 17 00:00:00 2001
From: Clint Herron <hanclinto@gmail.com>
Date: Thu, 6 Jun 2024 06:08:52 -0700
Subject: [PATCH 021/131] Added support for . (any character) token in grammar
 engine. (#6467)

* Added support for . (any characer) token in grammar engine.

* Add integration tests for any-character symbol.
---
 common/grammar-parser.cpp          | 11 +++++++++++
 llama.cpp                          | 12 ++++++++++--
 llama.h                            |  3 +++
 tests/test-grammar-integration.cpp | 28 ++++++++++++++++++++++++++++
 4 files changed, 52 insertions(+), 2 deletions(-)

diff --git a/common/grammar-parser.cpp b/common/grammar-parser.cpp
index 79d2b0354..a518b766d 100644
--- a/common/grammar-parser.cpp
+++ b/common/grammar-parser.cpp
@@ -266,6 +266,10 @@ namespace grammar_parser {
                     throw std::runtime_error(std::string("expecting ')' at ") + pos);
                 }
                 pos = parse_space(pos + 1, is_nested);
+            } else if (*pos == '.') { // any char
+                last_sym_start = out_elements.size();
+                out_elements.push_back({LLAMA_GRETYPE_CHAR_ANY, 0});
+                pos = parse_space(pos + 1, is_nested);
             } else if (*pos == '*') {
                 pos = parse_space(pos + 1, is_nested);
                 handle_repetitions(0, -1);
@@ -401,6 +405,7 @@ namespace grammar_parser {
             case LLAMA_GRETYPE_CHAR_NOT:       return true;
             case LLAMA_GRETYPE_CHAR_ALT:       return true;
             case LLAMA_GRETYPE_CHAR_RNG_UPPER: return true;
+            case LLAMA_GRETYPE_CHAR_ANY:       return true;
             default:                           return false;
         }
     }
@@ -415,6 +420,7 @@ namespace grammar_parser {
                 case LLAMA_GRETYPE_CHAR_NOT:       fprintf(file, "CHAR_NOT");       break;
                 case LLAMA_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break;
                 case LLAMA_GRETYPE_CHAR_ALT:       fprintf(file, "CHAR_ALT");       break;
+                case LLAMA_GRETYPE_CHAR_ANY:       fprintf(file, "CHAR_ANY");       break;
             }
             switch (elem.type) {
                 case LLAMA_GRETYPE_END:
@@ -426,6 +432,7 @@ namespace grammar_parser {
                 case LLAMA_GRETYPE_CHAR_NOT:
                 case LLAMA_GRETYPE_CHAR_RNG_UPPER:
                 case LLAMA_GRETYPE_CHAR_ALT:
+                case LLAMA_GRETYPE_CHAR_ANY:
                     fprintf(file, "(\"");
                     print_grammar_char(file, elem.value);
                     fprintf(file, "\") ");
@@ -483,11 +490,15 @@ namespace grammar_parser {
                     }
                     print_grammar_char(file, elem.value);
                     break;
+                case LLAMA_GRETYPE_CHAR_ANY:
+                    fprintf(file, ".");
+                    break;
             }
             if (is_char_element(elem)) {
                 switch (rule[i + 1].type) {
                     case LLAMA_GRETYPE_CHAR_ALT:
                     case LLAMA_GRETYPE_CHAR_RNG_UPPER:
+                    case LLAMA_GRETYPE_CHAR_ANY:
                         break;
                     default:
                         fprintf(file, "] ");
diff --git a/llama.cpp b/llama.cpp
index cefb4d1d5..32264a008 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -13640,7 +13640,7 @@ static std::pair<bool, const llama_grammar_element *> llama_grammar_match_char(
         const uint32_t                chr) {
 
     bool found            = false;
-    bool is_positive_char = pos->type == LLAMA_GRETYPE_CHAR;
+    bool is_positive_char = pos->type == LLAMA_GRETYPE_CHAR || pos->type == LLAMA_GRETYPE_CHAR_ANY;
 
     GGML_ASSERT(is_positive_char || pos->type == LLAMA_GRETYPE_CHAR_NOT); // NOLINT
 
@@ -13649,6 +13649,10 @@ static std::pair<bool, const llama_grammar_element *> llama_grammar_match_char(
             // inclusive range, e.g. [a-z]
             found = found || (pos->value <= chr && chr <= pos[1].value);
             pos += 2;
+        } else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
+            // Any character matches "."
+            found = true;
+            pos += 1;
         } else {
             // exact char match, e.g. [a] or "a"
             found = found || pos->value == chr;
@@ -13666,7 +13670,7 @@ static bool llama_grammar_match_partial_char(
         const llama_grammar_element * pos,
         const llama_partial_utf8      partial_utf8) {
 
-    bool is_positive_char = pos->type == LLAMA_GRETYPE_CHAR;
+    bool is_positive_char = pos->type == LLAMA_GRETYPE_CHAR || pos->type == LLAMA_GRETYPE_CHAR_ANY;
     GGML_ASSERT(is_positive_char || pos->type == LLAMA_GRETYPE_CHAR_NOT);
 
     uint32_t partial_value = partial_utf8.value;
@@ -13696,6 +13700,9 @@ static bool llama_grammar_match_partial_char(
                 return is_positive_char;
             }
             pos += 2;
+        } else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
+            // Any character matches "."
+            return true;
         } else {
             // exact char match, e.g. [a] or "a"
             if (low <= pos->value && pos->value <= high) {
@@ -13756,6 +13763,7 @@ static void llama_grammar_advance_stack(
         }
         case LLAMA_GRETYPE_CHAR:
         case LLAMA_GRETYPE_CHAR_NOT:
+        case LLAMA_GRETYPE_CHAR_ANY:
             if (std::find(new_stacks.begin(), new_stacks.end(), stack) == new_stacks.end()) {
                 // only add the stack if it's not a duplicate of one we already have
                 new_stacks.emplace_back(stack);
diff --git a/llama.h b/llama.h
index 9dcd67bef..62908261f 100644
--- a/llama.h
+++ b/llama.h
@@ -365,6 +365,9 @@ extern "C" {
         // modifies a preceding LLAMA_GRETYPE_CHAR or
         // LLAMA_GRETYPE_CHAR_RNG_UPPER to add an alternate char to match ([ab], [a-zA])
         LLAMA_GRETYPE_CHAR_ALT       = 6,
+
+        // any character (.)
+        LLAMA_GRETYPE_CHAR_ANY       = 7,
     };
 
     typedef struct llama_grammar_element {
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 9bdab05af..8787fb1ec 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -205,6 +205,33 @@ static void test_complex_grammar() {
     );
 }
 
+static void test_special_chars() {
+    // A collection of tests to exercise special characters such as "."
+    test_grammar(
+        "special characters",
+        // Grammar
+        R"""(
+            root ::= ... "abc" ...
+            )""",
+        // Passing strings
+        {
+            "abcabcabc",
+            "aaaabcccc",
+            // NOTE: Also ensures that multi-byte characters still count as a single character
+            "🔵🟠✅abc❌🟠🔵"
+        },
+        // Failing strings
+        {
+            "aaabcccc",
+            "aaaaabcccc",
+            "aaaabccc",
+            "aaaabccccc",
+            "🔵🟠✅❌abc❌✅🟠🔵"
+            "🔵🟠abc🟠🔵"
+        }
+    );
+}
+
 static void test_quantifiers() {
     // A collection of tests to exercise * + and ? quantifiers
 
@@ -445,6 +472,7 @@ int main() {
     fprintf(stdout, "Running grammar integration tests...\n");
     test_simple_grammar();
     test_complex_grammar();
+    test_special_chars();
     test_quantifiers();
     test_failure_missing_root();
     test_failure_missing_reference();

From f83351f9a62a6262f1fc3d08f320033089cddfb5 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Thu, 6 Jun 2024 16:30:58 +0300
Subject: [PATCH 022/131] imatrix : migrate to gpt_params (#7771)

* imatrix : migrate to gpt_params

ggml-ci

* imatrix : add --save-frequency cli arg

* common : fix --no-ppl
---
 common/common.cpp            |  75 ++++++++++-
 common/common.h              |  99 +++++++-------
 examples/imatrix/README.md   |  11 +-
 examples/imatrix/imatrix.cpp | 241 +++++++++++------------------------
 examples/server/server.cpp   |   2 +-
 5 files changed, 213 insertions(+), 215 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index c8df9a4ce..601bd2164 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -273,6 +273,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
         }
     } catch (const std::invalid_argument & ex) {
         fprintf(stderr, "%s\n", ex.what());
+        params = params_org;
         return false;
     }
 
@@ -408,6 +409,20 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
+    if (arg == "--in-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        std::ifstream file(argv[i]);
+        if (!file) {
+            fprintf(stderr, "error: failed to open file '%s'\n", argv[i]);
+            invalid_param = true;
+            return true;
+        }
+        params.in_files.push_back(argv[i]);
+        return true;
+    }
     if (arg == "-n" || arg == "--predict" || arg == "--n-predict") {
         if (++i >= argc) {
             invalid_param = true;
@@ -1081,7 +1096,15 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         return true;
     }
     if (arg == "-v" || arg == "--verbose") {
-        params.verbose = true;
+        params.verbosity = 1;
+        return true;
+    }
+    if (arg == "--verbosity") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.verbosity = std::stoi(argv[i]);
         return true;
     }
     if (arg == "--verbose-prompt") {
@@ -1537,6 +1560,46 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.i_pos = std::stoi(argv[i]);
         return true;
     }
+    if (arg == "-o" || arg == "--output" || arg == "--output-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.out_file = argv[i];
+        return true;
+    }
+    if (arg == "-ofreq" || arg == "--output-frequency") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_out_freq = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--save-frequency") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_save_freq = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--process-output") {
+        params.process_output = true;
+        return true;
+    }
+    if (arg == "--no-ppl") {
+        params.compute_ppl = false;
+        return true;
+    }
+    if (arg == "--chunk" || arg == "--from-chunk") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.i_chunk = std::stoi(argv[i]);
+        return true;
+    }
 #ifndef LOG_DISABLE_LOGS
     // Parse args for logging parameters
     if (log_param_single_parse(argv[i])) {
@@ -1612,6 +1675,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "*",           "-h,    --help, --usage",        "print usage and exit" });
     options.push_back({ "*",           "       --version",              "show version and build info" });
     options.push_back({ "*",           "-v,    --verbose",              "print verbose information" });
+    options.push_back({ "*",           "       --verbosity N",          "set specific verbosity level (default: %d)", params.verbosity });
     options.push_back({ "*",           "       --verbose-prompt",       "print a verbose prompt before generation (default: %s)", params.verbose_prompt ? "true" : "false" });
     options.push_back({ "*",           "       --no-display-prompt",    "don't print prompt at generation (default: %s)", !params.display_prompt ? "true" : "false" });
     options.push_back({ "*",           "-co,   --color",                "colorise output to distinguish prompt and user input from generations (default: %s)", params.use_color ? "true" : "false" });
@@ -1637,6 +1701,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "*",           "-fa,   --flash-attn",           "enable Flash Attention (default: %s)", params.flash_attn ? "enabled" : "disabled" });
     options.push_back({ "*",           "-p,    --prompt PROMPT",        "prompt to start generation with (default: '%s')", params.prompt.c_str() });
     options.push_back({ "*",           "-f,    --file FNAME",           "a file containing the prompt (default: none)" });
+    options.push_back({ "*",           "       --in-file FNAME",        "an input file (repeat to specify multiple files)" });
     options.push_back({ "*",           "-bf,   --binary-file FNAME",    "binary file containing the prompt (default: none)" });
     options.push_back({ "*",           "-e,    --escape",               "process escapes sequences (\\n, \\r, \\t, \\', \\\", \\\\) (default: %s)", params.escape ? "true" : "false" });
     options.push_back({ "*",           "       --no-escape",            "do not process escape sequences" });
@@ -1804,6 +1869,14 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "passkey",     "       --junk N",               "number of times to repeat the junk text (default: %d)", params.n_junk });
     options.push_back({ "passkey",     "       --pos N",                "position of the passkey in the junk text (default: %d)", params.i_pos });
 
+    options.push_back({ "imatrix" });
+    options.push_back({ "imatrix",     "-o,    --output FNAME",         "output file (default: '%s')", params.out_file.c_str() });
+    options.push_back({ "imatrix",     "       --output-frequency N",   "output the imatrix every N iterations (default: %d)", params.n_out_freq });
+    options.push_back({ "imatrix",     "       --save-frequency N",     "save an imatrix copy every N iterations (default: %d)", params.n_save_freq });
+    options.push_back({ "imatrix",     "       --process-output",       "collect data for the output tensor (default: %s)", params.process_output ? "true" : "false" });
+    options.push_back({ "imatrix",     "       --no-ppl",               "do not compute perplexity (default: %s)", params.compute_ppl ? "true" : "false" });
+    options.push_back({ "imatrix",     "       --chunk N",              "start processing the input from chunk N (default: %d)", params.i_chunk });
+
     options.push_back({ "bench" });
     options.push_back({ "bench",       "-pps",                          "is the prompt shared across parallel sequences (default: %s)", params.is_pp_shared ? "true" : "false" });
     options.push_back({ "bench",       "-npp n0,n1,...",                "number of prompt tokens" });
diff --git a/common/common.h b/common/common.h
index e0a08a61b..de6238e27 100644
--- a/common/common.h
+++ b/common/common.h
@@ -56,43 +56,42 @@ struct gpt_params {
     uint32_t seed                 = LLAMA_DEFAULT_SEED; // RNG seed
 
     int32_t n_threads             = cpu_get_num_math();
-    int32_t n_threads_draft       = -1;
-    int32_t n_threads_batch       = -1;    // number of threads to use for batch processing (-1 = use n_threads)
-    int32_t n_threads_batch_draft = -1;
-    int32_t n_predict             = -1;    // new tokens to predict
-    int32_t n_ctx                 = 0;     // context size
-    int32_t n_batch               = 2048;  // logical batch size for prompt processing (must be >=32 to use BLAS)
-    int32_t n_ubatch              = 512;   // physical batch size for prompt processing (must be >=32 to use BLAS)
-    int32_t n_keep                = 0;     // number of tokens to keep from initial prompt
-    int32_t n_draft               = 5;     // number of tokens to draft during speculative decoding
-    int32_t n_chunks              = -1;    // max number of chunks to process (-1 = unlimited)
-    int32_t n_parallel            = 1;     // number of parallel sequences to decode
-    int32_t n_sequences           = 1;     // number of sequences to decode
-    float   p_split               = 0.1f;  // speculative decoding split probability
-    int32_t n_gpu_layers          = -1;    // number of layers to store in VRAM (-1 - use default)
-    int32_t n_gpu_layers_draft    = -1;    // number of layers to store in VRAM for the draft model (-1 - use default)
-    llama_split_mode split_mode   = LLAMA_SPLIT_MODE_LAYER; // how to split the model across GPUs
-    int32_t main_gpu              = 0;     // the GPU that is used for scratch and small tensors
-    float   tensor_split[128]     = {0};   // how split tensors should be distributed across GPUs
-    int32_t n_beams               = 0;     // if non-zero then use beam search of given width.
-    int32_t grp_attn_n            = 1;     // group-attention factor
-    int32_t grp_attn_w            = 512;   // group-attention width
-    int32_t n_print               = -1;    // print token count every n tokens (-1 = disabled)
-    float   rope_freq_base        = 0.0f;  // RoPE base frequency
-    float   rope_freq_scale       = 0.0f;  // RoPE frequency scaling factor
+    int32_t n_threads_draft       =    -1;
+    int32_t n_threads_batch       =    -1; // number of threads to use for batch processing (-1 = use n_threads)
+    int32_t n_threads_batch_draft =    -1;
+    int32_t n_predict             =    -1; // new tokens to predict
+    int32_t n_ctx                 =     0; // context size
+    int32_t n_batch               =  2048; // logical batch size for prompt processing (must be >=32 to use BLAS)
+    int32_t n_ubatch              =   512; // physical batch size for prompt processing (must be >=32 to use BLAS)
+    int32_t n_keep                =     0; // number of tokens to keep from initial prompt
+    int32_t n_draft               =     5; // number of tokens to draft during speculative decoding
+    int32_t n_chunks              =    -1; // max number of chunks to process (-1 = unlimited)
+    int32_t n_parallel            =     1; // number of parallel sequences to decode
+    int32_t n_sequences           =     1; // number of sequences to decode
+    float   p_split               =  0.1f; // speculative decoding split probability
+    int32_t n_gpu_layers          =    -1; // number of layers to store in VRAM (-1 - use default)
+    int32_t n_gpu_layers_draft    =    -1; // number of layers to store in VRAM for the draft model (-1 - use default)
+    int32_t main_gpu              =     0; // the GPU that is used for scratch and small tensors
+    float   tensor_split[128]     =   {0}; // how split tensors should be distributed across GPUs
+    int32_t n_beams               =     0; // if non-zero then use beam search of given width.
+    int32_t grp_attn_n            =     1; // group-attention factor
+    int32_t grp_attn_w            =   512; // group-attention width
+    int32_t n_print               =    -1; // print token count every n tokens (-1 = disabled)
+    float   rope_freq_base        =  0.0f; // RoPE base frequency
+    float   rope_freq_scale       =  0.0f; // RoPE frequency scaling factor
     float   yarn_ext_factor       = -1.0f; // YaRN extrapolation mix factor
-    float   yarn_attn_factor      = 1.0f;  // YaRN magnitude scaling factor
+    float   yarn_attn_factor      =  1.0f; // YaRN magnitude scaling factor
     float   yarn_beta_fast        = 32.0f; // YaRN low correction dim
-    float   yarn_beta_slow        = 1.0f;  // YaRN high correction dim
-    int32_t yarn_orig_ctx         = 0;     // YaRN original context length
+    float   yarn_beta_slow        =  1.0f; // YaRN high correction dim
+    int32_t yarn_orig_ctx         =     0; // YaRN original context length
     float   defrag_thold          = -1.0f; // KV cache defragmentation threshold
-    std::string rpc_servers       = "";    // comma separated list of RPC servers
 
     ggml_backend_sched_eval_callback cb_eval = nullptr;
     void * cb_eval_user_data                 = nullptr;
 
     ggml_numa_strategy numa = GGML_NUMA_STRATEGY_DISABLED;
 
+    enum llama_split_mode        split_mode        = LLAMA_SPLIT_MODE_LAYER; // how to split the model across GPUs
     enum llama_rope_scaling_type rope_scaling_type = LLAMA_ROPE_SCALING_TYPE_UNSPECIFIED;
     enum llama_pooling_type      pooling_type      = LLAMA_POOLING_TYPE_UNSPECIFIED; // pooling type for embeddings
 
@@ -114,7 +113,9 @@ struct gpt_params {
     std::string lookup_cache_static  = ""; // path of static ngram cache file for lookup decoding
     std::string lookup_cache_dynamic = ""; // path of dynamic ngram cache file for lookup decoding
     std::string logits_file          = ""; // file for saving *all* logits
+    std::string rpc_servers          = ""; // comma separated list of RPC servers
 
+    std::vector<std::string> in_files;   // all input files
     std::vector<std::string> antiprompt; // strings upon which more user input is prompted (a.k.a. reverse prompts)
     std::vector<llama_model_kv_override> kv_overrides;
 
@@ -124,23 +125,24 @@ struct gpt_params {
 
     std::vector<llama_control_vector_load_info> control_vectors; // control vector with user defined scale
 
+    int32_t verbosity                  = 0;
     int32_t control_vector_layer_start = -1; // layer range for control vector
     int32_t control_vector_layer_end   = -1; // layer range for control vector
 
-    int32_t ppl_stride      = 0;    // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
-    int32_t ppl_output_type = 0;    // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
-                                    //                                       (which is more convenient to use for plotting)
-                                    //
-    bool   hellaswag       = false; // compute HellaSwag score over random tasks from datafile supplied in prompt
-    size_t hellaswag_tasks = 400;   // number of tasks to use when computing the HellaSwag score
+    int32_t ppl_stride      = 0;     // stride for perplexity calculations. If left at 0, the pre-existing approach will be used.
+    int32_t ppl_output_type = 0;     // = 0 -> ppl output is as usual, = 1 -> ppl output is num_tokens, ppl, one per line
+                                     //                                       (which is more convenient to use for plotting)
+                                     //
+    bool   hellaswag        = false; // compute HellaSwag score over random tasks from datafile supplied in prompt
+    size_t hellaswag_tasks  = 400;   // number of tasks to use when computing the HellaSwag score
 
-    bool   winogrande      = false; // compute Winogrande score over random tasks from datafile supplied in prompt
-    size_t winogrande_tasks= 0;     // number of tasks to use when computing the Winogrande score. If 0, all tasks will be computed
+    bool   winogrande       = false; // compute Winogrande score over random tasks from datafile supplied in prompt
+    size_t winogrande_tasks = 0;     // number of tasks to use when computing the Winogrande score. If 0, all tasks will be computed
 
-    bool   multiple_choice = false; // compute TruthfulQA score over random tasks from datafile supplied in prompt
-    size_t multiple_choice_tasks = 0;     // number of tasks to use when computing the TruthfulQA score. If 0, all tasks will be computed
+    bool   multiple_choice  = false;  // compute TruthfulQA score over random tasks from datafile supplied in prompt
+    size_t multiple_choice_tasks = 0; // number of tasks to use when computing the TruthfulQA score. If 0, all tasks will be computed
 
-    bool   kl_divergence   = false; // compute KL divergence
+    bool   kl_divergence    = false; // compute KL divergence
 
     bool usage             = false; // print usage
     bool use_color         = false; // use color to distinguish generations and inputs
@@ -163,7 +165,6 @@ struct gpt_params {
     bool logits_all        = false; // return logits for all tokens in the batch
     bool use_mmap          = true;  // use mmap for faster loads
     bool use_mlock         = false; // use mlock to keep model in memory
-    bool verbose           = false;
     bool verbose_prompt    = false; // print prompt tokens before generation
     bool display_prompt    = true;  // print prompt before generation
     bool infill            = false; // use infill mode
@@ -180,10 +181,10 @@ struct gpt_params {
     std::vector<std::string> image; // path to image file(s)
 
     // server params
-    int32_t port           = 8080;
-    int32_t timeout_read   = 600;
-    int32_t timeout_write  = timeout_read;
-    int32_t n_threads_http = -1;
+    int32_t port           = 8080;         // server listens on this network port
+    int32_t timeout_read   = 600;          // http read timeout in seconds
+    int32_t timeout_write  = timeout_read; // http write timeout in seconds
+    int32_t n_threads_http = -1;           // number of threads to use for http server (-1 = use n_threads)
 
     std::string hostname      = "127.0.0.1";
     std::string public_path   = "";
@@ -219,6 +220,16 @@ struct gpt_params {
     // passkey params
     int32_t n_junk = 250; // number of times to repeat the junk text
     int32_t i_pos  = -1;  // position of the passkey in the junk text
+
+    // imatrix params
+    std::string out_file = "imatrix.dat"; // save the resulting imatrix to this file
+
+    int32_t n_out_freq  = 10; // output the imatrix every n_out_freq iterations
+    int32_t n_save_freq =  0; // save the imatrix every n_save_freq iterations
+    int32_t i_chunk     =  0; // start processing from this chunk
+
+    bool process_output = false; // collect data for the output tensor
+    bool compute_ppl    = true;  // whether to compute perplexity
 };
 
 void gpt_params_handle_model_default(gpt_params & params);
diff --git a/examples/imatrix/README.md b/examples/imatrix/README.md
index 458c01b87..866ca9f56 100644
--- a/examples/imatrix/README.md
+++ b/examples/imatrix/README.md
@@ -6,16 +6,19 @@ More information is available here: https://github.com/ggerganov/llama.cpp/pull/
 ## Usage
 
 ```
-./imatrix -m <some_fp_model> -f <some_training_data> [-o <output_file>] [--verbosity <verbosity_level>]
-        [-ofreq num_chunks] [-ow <0 or 1>] [other common params]
+./imatrix \
+    -m model.gguf -f some-text.txt [-o imatrix.dat] [--process-output] [--verbosity 1] \
+    [--no-ppl] [--chunk 123] [--output-frequency 10] [--save-frequency 0] \
+    [--in-file imatrix-prev-0.dat --in-file imatrix-prev-1.dat ...]
 ```
 
 Here `-m` with a model name and `-f` with a file containing training data (such as e.g. `wiki.train.raw`) are mandatory.
 The parameters in square brackets are optional and have the following meaning:
 * `-o` (or `--output-file`) specifies the name of the file where the computed data will be stored. If missing `imatrix.dat` is used.
 * `--verbosity` specifies the verbosity level. If set to `0`, no output other than the perplexity of the processed chunks will be generated. If set to `1`, each time the results are saved a message is written to `stderr`. If `>=2`, a message is output each time data is collected for any tensor. Default verbosity level is `1`.
-* `-ofreq` (or `--output-frequency`) specifies how often the so far computed result is saved to disk. Default is 10 (i.e., every 10 chunks)
-* `-ow` (or `--output-weight`) specifies if data will be collected for the `output.weight` tensor. My experience is that it is better to not utilize the importance matrix when quantizing `output.weight`, so this is set to `false` by default.
+* `--output-frequency` specifies how often the so far computed result is saved to disk. Default is 10 (i.e., every 10 chunks)
+* `--save-frequency` specifies how often to save a copy of the imatrix in a separate file. Default is 0 (i.e., never)
+* `--process-output` specifies if data will be collected for the `output.weight` tensor. My experience is that it is better to not utilize the importance matrix when quantizing `output.weight`, so this is set to `false` by default.
 
 For faster computation, make sure to use GPU offloading via the `-ngl` argument
 
diff --git a/examples/imatrix/imatrix.cpp b/examples/imatrix/imatrix.cpp
index e050c09d2..38420041c 100644
--- a/examples/imatrix/imatrix.cpp
+++ b/examples/imatrix/imatrix.cpp
@@ -17,39 +17,37 @@
 #pragma warning(disable: 4244 4267) // possible loss of data
 #endif
 
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    LOG_TEE("\nexample usage:\n");
+    LOG_TEE("\n    %s \\\n"
+            "       -m model.gguf -f some-text.txt [-o imatrix.dat] [--process-output] [--verbosity 1] \\\n"
+            "       [--no-ppl] [--chunk 123] [--output-frequency 10] [--save-frequency 0] \\\n"
+            "       [--in-file imatrix-prev-0.dat --in-file imatrix-prev-1.dat ...]\n" , argv[0]);
+    LOG_TEE("\n");
+}
+
 struct Stats {
     std::vector<float> values;
     std::vector<int> counts;
     int ncall = 0;
 };
 
-struct StatParams {
-    std::string dataset;
-    std::string ofile = "imatrix.dat";
-    int         n_output_frequency = 10;
-    int         verbosity = 1;
-    int         keep_every = 0;
-    bool        collect_output_weight = false;
-};
-
 class IMatrixCollector {
 public:
     IMatrixCollector() = default;
-    void set_parameters(StatParams&& params) { m_params = std::move(params); }
+    void set_params(gpt_params params) { m_params = std::move(params); }
     bool collect_imatrix(struct ggml_tensor * t, bool ask, void * user_data);
-    void save_imatrix() const;
-    bool load_imatrix(const char * file_name, bool add);
-    static bool load_imatrix(const char * file_name, std::unordered_map<std::string, Stats>& imatrix);
+    void save_imatrix(int ncall = -1) const;
+    bool load_imatrix(const char * file_name);
 private:
     std::unordered_map<std::string, Stats> m_stats;
-    StatParams                             m_params;
+    gpt_params                             m_params;
     std::mutex                             m_mutex;
     int                                    m_last_call = 0;
     std::vector<float>                     m_src1_data;
     std::vector<char>                      m_ids; // the expert ids from ggml_mul_mat_id
-                                                  //
-    void save_imatrix(const char * file_name, const char * dataset) const;
-    void keep_imatrix(int ncall) const;
 };
 
 // remove any prefix and suffixes from the name
@@ -85,7 +83,7 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
         if (t->op != GGML_OP_MUL_MAT) return false;
         // why are small batches ignored (<16 tokens)?
         if (src1->ne[1] < 16 || src1->type != GGML_TYPE_F32) return false;
-        if (!(wname.substr(0, 4) == "blk." || (m_params.collect_output_weight && wname == "output.weight"))) return false;
+        if (!(wname.substr(0, 4) == "blk." || (m_params.process_output && wname == "output.weight"))) return false;
         return true;
     }
 
@@ -158,16 +156,16 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
             }
             if (e.ncall > m_last_call) {
                 m_last_call = e.ncall;
-                if (m_last_call % m_params.n_output_frequency == 0) {
+                if (m_last_call % m_params.n_out_freq == 0) {
                     save_imatrix();
                 }
-                if (m_params.keep_every > 0 && m_last_call%m_params.keep_every == 0) {
-                    keep_imatrix(m_last_call);
+                if (m_params.n_save_freq > 0 && m_last_call%m_params.n_save_freq == 0) {
+                    save_imatrix(m_last_call);
                 }
             }
         }
     } else {
-        auto& e = m_stats[wname];
+        auto & e = m_stats[wname];
         if (e.values.empty()) {
             e.values.resize(src1->ne[0], 0);
             e.counts.resize(src1->ne[0], 0);
@@ -189,11 +187,11 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
         }
         if (e.ncall > m_last_call) {
             m_last_call = e.ncall;
-            if (m_last_call % m_params.n_output_frequency == 0) {
+            if (m_last_call % m_params.n_out_freq == 0) {
                 save_imatrix();
             }
-            if (m_params.keep_every > 0 && m_last_call%m_params.keep_every == 0) {
-                keep_imatrix(m_last_call);
+            if (m_params.n_save_freq > 0 && m_last_call%m_params.n_save_freq == 0) {
+                save_imatrix(m_last_call);
             }
         }
     }
@@ -201,19 +199,17 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
     return true;
 }
 
-void IMatrixCollector::save_imatrix() const {
-    save_imatrix(m_params.ofile.empty() ? "imatrix.dat" : m_params.ofile.c_str(), m_params.dataset.c_str());
-}
+void IMatrixCollector::save_imatrix(int ncall) const {
+    auto fname = m_params.out_file;
+    if (fname.empty()) {
+        fname = "imatrix.dat";
+    }
 
-void IMatrixCollector::keep_imatrix(int ncall) const {
-    auto file_name = m_params.ofile;
-    if (file_name.empty()) file_name = "imatrix.dat";
-    file_name += ".at_";
-    file_name += std::to_string(ncall);
-    save_imatrix(file_name.c_str(), m_params.dataset.c_str());
-}
+    if (ncall > 0) {
+        fname += ".at_";
+        fname += std::to_string(ncall);
+    }
 
-void IMatrixCollector::save_imatrix(const char * fname, const char * dataset) const {
     std::ofstream out(fname, std::ios::binary);
     int n_entries = m_stats.size();
     out.write((const char *) &n_entries, sizeof(n_entries));
@@ -236,26 +232,28 @@ void IMatrixCollector::save_imatrix(const char * fname, const char * dataset) co
     // Write the number of call the matrix was computed with
     out.write((const char *) &m_last_call, sizeof(m_last_call));
 
-    // Write the dataset name at the end of the file to later on specify it in quantize
-    int n_dataset = strlen(dataset);
-    out.write((const char *) &n_dataset, sizeof(n_dataset));
-    out.write(dataset, n_dataset);
+    // Write the input filename at the end of the file to later on specify it in quantize
+    {
+        int len = m_params.prompt_file.size();
+        out.write((const char *) &len, sizeof(len));
+        out.write(m_params.prompt_file.c_str(), len);
+    }
 
     if (m_params.verbosity > 0) {
-        fprintf(stderr, "\n%s: stored collected data after %d chunks in %s\n", __func__, m_last_call, fname);
+        fprintf(stderr, "\n%s: stored collected data after %d chunks in %s\n", __func__, m_last_call, fname.c_str());
     }
 }
 
-bool IMatrixCollector::load_imatrix(const char * imatrix_file, std::unordered_map<std::string, Stats>& imatrix_data) {
-    std::ifstream in(imatrix_file, std::ios::binary);
+bool IMatrixCollector::load_imatrix(const char * fname) {
+    std::ifstream in(fname, std::ios::binary);
     if (!in) {
-        printf("%s: failed to open %s\n",__func__,imatrix_file);
+        printf("%s: failed to open %s\n",__func__, fname);
         return false;
     }
     int n_entries;
     in.read((char*)&n_entries, sizeof(n_entries));
     if (in.fail() || n_entries < 1) {
-        printf("%s: no data in file %s\n", __func__, imatrix_file);
+        printf("%s: no data in file %s\n", __func__, fname);
         return false;
     }
     for (int i = 0; i < n_entries; ++i) {
@@ -263,23 +261,22 @@ bool IMatrixCollector::load_imatrix(const char * imatrix_file, std::unordered_ma
         std::vector<char> name_as_vec(len+1);
         in.read((char *)name_as_vec.data(), len);
         if (in.fail()) {
-            printf("%s: failed reading name for entry %d from %s\n",__func__,i+1,imatrix_file);
+            printf("%s: failed reading name for entry %d from %s\n",__func__,i+1, fname);
             return false;
         }
         name_as_vec[len] = 0;
         std::string name{name_as_vec.data()};
-        auto& e = imatrix_data[std::move(name)];
+        auto & e = m_stats[std::move(name)];
         int ncall;
         in.read((char*)&ncall, sizeof(ncall));
         int nval;
         in.read((char *)&nval, sizeof(nval));
         if (in.fail() || nval < 1) {
             printf("%s: failed reading number of values for entry %d\n",__func__,i);
-            imatrix_data = {};
+            m_stats = {};
             return false;
         }
 
-        // When re-called from load_imatrix() with add set, this will already be created.
         if (e.values.empty()) {
             e.values.resize(nval, 0);
             e.counts.resize(nval, 0);
@@ -289,7 +286,7 @@ bool IMatrixCollector::load_imatrix(const char * imatrix_file, std::unordered_ma
         in.read((char*)tmp.data(), nval*sizeof(float));
         if (in.fail()) {
             printf("%s: failed reading data for entry %d\n",__func__,i);
-            imatrix_data = {};
+            m_stats = {};
             return false;
         }
 
@@ -304,13 +301,6 @@ bool IMatrixCollector::load_imatrix(const char * imatrix_file, std::unordered_ma
     return true;
 }
 
-bool IMatrixCollector::load_imatrix(const char * file_name, bool add) {
-    if (!add) {
-        m_stats.clear();
-    }
-    return load_imatrix(file_name, m_stats);
-}
-
 static IMatrixCollector g_collector;
 
 static bool ik_collect_imatrix(struct ggml_tensor * t, bool ask, void * user_data) {
@@ -324,7 +314,7 @@ struct results_log_softmax {
     float  prob;
 };
 
-static std::vector<float> softmax(const std::vector<float>& logits) {
+static std::vector<float> softmax(const std::vector<float> & logits) {
     std::vector<float> probs(logits.size());
     float max_logit = logits[0];
     for (float v : logits) {
@@ -358,8 +348,7 @@ static results_log_softmax log_softmax(int n_vocab, const float * logits, int to
 
 static void process_logits(
     int n_vocab, const float * logits, const int * tokens, int n_token, std::vector<std::thread> & workers,
-    double & nll, double & nll2, float * logit_history, float * prob_history
-) {
+    double & nll, double & nll2, float * logit_history, float * prob_history) {
     std::mutex mutex;
     int counter = 0;
     auto compute = [&mutex, &counter, &nll, &nll2, logit_history, prob_history, n_vocab, logits, tokens, n_token] () {
@@ -391,8 +380,7 @@ static void process_logits(
     }
 }
 
-static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool compute_ppl, int from_chunk) {
-
+static bool compute_imatrix(llama_context * ctx, const gpt_params & params) {
     const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx));
     GGML_ASSERT(llama_add_eos_token(llama_get_model(ctx)) != 1);
     const int n_ctx = llama_n_ctx(ctx);
@@ -405,13 +393,13 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
     auto tim2 = std::chrono::high_resolution_clock::now();
     fprintf(stderr, "%s: tokenization took %g ms\n",__func__,1e-3*std::chrono::duration_cast<std::chrono::microseconds>(tim2-tim1).count());
 
-    if (from_chunk > 0) {
-        if (size_t((from_chunk + 2)*n_ctx) >= tokens.size()) {
-            fprintf(stderr, "%s: there will be not enough tokens left after removing %d chunks\n", __func__, from_chunk);
+    if (params.i_chunk > 0) {
+        if (size_t((params.i_chunk + 2)*n_ctx) >= tokens.size()) {
+            fprintf(stderr, "%s: there will be not enough tokens left after removing %d chunks\n", __func__, params.i_chunk);
             return false;
         }
-        fprintf(stderr, "%s: removing initial %d chunks (%d tokens)\n", __func__, from_chunk, from_chunk*n_ctx);
-        tokens.erase(tokens.begin(), tokens.begin() + from_chunk*n_ctx);
+        fprintf(stderr, "%s: removing initial %d chunks (%d tokens)\n", __func__, params.i_chunk, params.i_chunk*n_ctx);
+        tokens.erase(tokens.begin(), tokens.begin() + params.i_chunk*n_ctx);
     }
 
     if (int(tokens.size()) < 2*n_ctx) {
@@ -424,7 +412,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
     std::vector<float> logit_history;
     std::vector<float> prob_history;
 
-    if (compute_ppl) {
+    if (params.compute_ppl) {
         logit_history.resize(tokens.size());
         prob_history.resize(tokens.size());
     }
@@ -446,7 +434,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
     const int num_batches = (n_ctx + n_batch - 1) / n_batch;
 
     std::vector<float> logits;
-    if (compute_ppl && num_batches > 1) {
+    if (params.compute_ppl && num_batches > 1) {
         logits.reserve((size_t)n_ctx * n_vocab);
     }
 
@@ -482,7 +470,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
             // restore the original token in case it was set to BOS
             tokens[batch_start] = token_org;
 
-            if (compute_ppl && num_batches > 1) {
+            if (params.compute_ppl && num_batches > 1) {
                 const auto * batch_logits = llama_get_logits(ctx);
                 logits.insert(logits.end(), batch_logits, batch_logits + batch_size * n_vocab);
             }
@@ -501,7 +489,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
             fprintf(stderr, "%.2f minutes\n", total_seconds / 60.0);
         }
 
-        if (compute_ppl) {
+        if (params.compute_ppl) {
             const int first = n_ctx/2;
             const auto all_logits = num_batches > 1 ? logits.data() : llama_get_logits(ctx);
             process_logits(n_vocab, all_logits + first*n_vocab, tokens.data() + start + first, n_ctx - 1 - first,
@@ -516,7 +504,7 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
     }
     printf("\n");
 
-    if (compute_ppl) {
+    if (params.compute_ppl) {
         nll2 /= count;
         nll /= count;
         const double ppl = exp(nll);
@@ -533,109 +521,32 @@ static bool compute_imatrix(llama_context * ctx, const gpt_params & params, bool
 }
 
 int main(int argc, char ** argv) {
-    StatParams sparams;
-    std::string prev_result_file;
-    std::string combine_files;
-    bool compute_ppl = true;
-    int  from_chunk  = 0;
-    std::vector<char*> args;
-    args.push_back(argv[0]);
-    int iarg = 1;
-    for (; iarg < argc-1; ++iarg) {
-        std::string arg{argv[iarg]};
-        if (arg == "-o" || arg == "--output-file") {
-            sparams.ofile = argv[++iarg];
-        }
-        else if (arg == "-ofreq" || arg == "--output-frequency") {
-            sparams.n_output_frequency = std::stoi(argv[++iarg]);
-        }
-        else if (arg == "-ow" || arg == "--output-weight") {
-            sparams.collect_output_weight = std::stoi(argv[++iarg]);
-        }
-        else if (arg == "--verbosity") {
-            sparams.verbosity = std::stoi(argv[++iarg]);
-        } else if (arg == "--no-ppl") {
-            compute_ppl = false;
-        } else if (arg == "--keep-imatrix") {
-            sparams.keep_every = std::stoi(argv[++iarg]);
-        } else if (arg == "--continue-from") {
-            prev_result_file = argv[++iarg];
-        } else if (arg == "--combine") {
-            combine_files = argv[++iarg];
-        }
-        else if (arg == "--from-chunk") {
-            from_chunk = std::stoi(argv[++iarg]);
-        } else {
-            args.push_back(argv[iarg]);
-        }
-    }
-    if (iarg < argc) {
-        std::string arg{argv[iarg]};
-        if (arg == "--no-ppl") {
-            compute_ppl = false;
-        } else {
-            args.push_back(argv[iarg]);
-        }
-    }
-
     gpt_params params;
-    params.n_batch = 512;
+
+    params.n_ctx = 512;
+    params.logits_all = true;
+    params.verbosity = 1;
 
     if (!gpt_params_parse(argc, argv, params)) {
-        gpt_params_print_usage(argc, argv, params);
+        print_usage(argc, argv, params);
         return 1;
     }
 
-    params.logits_all = true;
     params.n_batch = std::min(params.n_batch, params.n_ctx);
 
-    print_build_info();
+    g_collector.set_params(params);
 
-    if (params.seed == LLAMA_DEFAULT_SEED) {
-        params.seed = time(NULL);
-    }
-
-    fprintf(stderr, "%s: seed  = %u\n", __func__, params.seed);
-
-    std::mt19937 rng(params.seed);
-
-    sparams.dataset = params.prompt_file;
-    g_collector.set_parameters(std::move(sparams));
-
-    if (!combine_files.empty()) {
-        std::vector<std::string> files;
-        size_t pos = 0;
-        while (true) {
-            auto new_pos = combine_files.find(',', pos);
-            if (new_pos != std::string::npos) {
-                files.emplace_back(combine_files.substr(pos, new_pos - pos));
-                pos = new_pos + 1;
-            } else {
-                files.emplace_back(combine_files.substr(pos));
-                break;
-            }
-        }
-        if (files.size() < 2) {
-            fprintf(stderr, "You must provide at least two comma separated files to use --combine\n");
+    for (const auto & in_file : params.in_files) {
+        printf("%s : loading imatrix from '%s'\n", __func__, in_file.c_str());
+        if (!g_collector.load_imatrix(in_file.c_str())) {
+            fprintf(stderr, "%s : failed to load %s\n", __func__, in_file.c_str());
             return 1;
         }
-        printf("Combining the following %d files\n", int(files.size()));
-        for (auto& file : files) {
-            printf("    %s\n", file.c_str());
-            if (!g_collector.load_imatrix(file.c_str(), true)) {
-                fprintf(stderr, "Failed to load %s\n", file.c_str());
-                return 1;
-            }
-        }
+    }
+
+    if (params.in_files.size() > 1) {
+        printf("%s : saving combined imatrix to '%s'\n", __func__, params.out_file.c_str());
         g_collector.save_imatrix();
-        return 0;
-    }
-
-    if (!prev_result_file.empty()) {
-        if (!g_collector.load_imatrix(prev_result_file.c_str(), false)) {
-            fprintf(stderr, "=============== Failed to load %s\n", prev_result_file.c_str());
-            return 1;
-        }
     }
 
     llama_backend_init();
@@ -650,6 +561,7 @@ int main(int argc, char ** argv) {
     // init
     llama_model * model;
     llama_context * ctx;
+
     std::tie(model, ctx) = llama_init_from_gpt_params(params);
     if (model == nullptr || ctx == nullptr) {
         fprintf(stderr, "%s : failed to init\n", __func__);
@@ -668,8 +580,7 @@ int main(int argc, char ** argv) {
         fprintf(stderr, "%s\n", gpt_params_get_system_info(params).c_str());
     }
 
-    bool OK = compute_imatrix(ctx, params, compute_ppl, from_chunk);
-    if (!OK) {
+    if (!compute_imatrix(ctx, params)) {
         return 1;
     }
 
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index d581cad95..74da81dad 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -2360,7 +2360,7 @@ int main(int argc, char ** argv) {
 
     // TODO: not great to use extern vars
     server_log_json = params.log_json;
-    server_verbose = params.verbose;
+    server_verbose = params.verbosity > 0;
 
     // struct that contains llama context and inference
     server_context ctx_server;

From ee459f40f65810a810151b24eba5b8bd174ceffe Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Thu, 6 Jun 2024 19:19:59 +0300
Subject: [PATCH 023/131] server : fix --threads-http arg (#7801)

---
 common/common.cpp | 9 +++++++++
 common/common.h   | 2 +-
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/common/common.cpp b/common/common.cpp
index 601bd2164..cdcb352b5 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1414,6 +1414,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.timeout_write = std::stoi(argv[i]);
         return true;
     }
+    if (arg == "--threads-http") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_threads_http = std::stoi(argv[i]);
+        return true;
+    }
     if (arg == "-spf" || arg == "--system-prompt-file") {
         if (++i >= argc) {
             invalid_param = true;
@@ -1893,6 +1901,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "server",      "       --ssl-key-file FNAME",   "path to file a PEM-encoded SSL private key" });
     options.push_back({ "server",      "       --ssl-cert-file FNAME",  "path to file a PEM-encoded SSL certificate" });
     options.push_back({ "server",      "       --timeout N",            "server read/write timeout in seconds (default: %d)", params.timeout_read });
+    options.push_back({ "server",      "       --threads-http N",       "number of threads used to process HTTP requests (default: %d)", params.n_threads_http });
     options.push_back({ "server",      "       --system-prompt-file FNAME",
                                                                         "set a file to load a system prompt (initial prompt of all slots), this is useful for chat applications" });
     options.push_back({ "server",      "       --log-format {text,json}",
diff --git a/common/common.h b/common/common.h
index de6238e27..35f5311e1 100644
--- a/common/common.h
+++ b/common/common.h
@@ -184,7 +184,7 @@ struct gpt_params {
     int32_t port           = 8080;         // server listens on this network port
     int32_t timeout_read   = 600;          // http read timeout in seconds
     int32_t timeout_write  = timeout_read; // http write timeout in seconds
-    int32_t n_threads_http = -1;           // number of threads to use for http server (-1 = use n_threads)
+    int32_t n_threads_http = -1;           // number of threads to process HTTP requests
 
     std::string hostname      = "127.0.0.1";
     std::string public_path   = "";

From c9ee7118d5644dd3df70ea6878b36a9761616aab Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Fri, 7 Jun 2024 08:01:29 +0200
Subject: [PATCH 024/131] check for nans in imatrix and quantize (#7807)

* imatrix : detect nan/inf values

* quantize : check imatrix for nan/inf values
---
 examples/imatrix/imatrix.cpp | 8 ++++++++
 llama.cpp                    | 8 ++++++++
 2 files changed, 16 insertions(+)

diff --git a/examples/imatrix/imatrix.cpp b/examples/imatrix/imatrix.cpp
index 38420041c..e18f49563 100644
--- a/examples/imatrix/imatrix.cpp
+++ b/examples/imatrix/imatrix.cpp
@@ -151,6 +151,10 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
                     for (int j = 0; j < (int)src1->ne[0]; ++j) {
                         e.values[e_start + j] += x[j]*x[j];
                         e.counts[e_start + j]++;
+                        if (!std::isfinite(e.values[e_start + j])) {
+                            fprintf(stderr, "%f detected in %s\n", e.values[e_start + j], wname.c_str());
+                            exit(1);
+                        }
                     }
                 }
             }
@@ -183,6 +187,10 @@ bool IMatrixCollector::collect_imatrix(struct ggml_tensor * t, bool ask, void *
             for (int j = 0; j < (int)src1->ne[0]; ++j) {
                 e.values[j] += x[j]*x[j];
                 e.counts[j]++;
+                if (!std::isfinite(e.values[j])) {
+                    fprintf(stderr, "%f detected in %s\n", e.values[j], wname.c_str());
+                    exit(1);
+                }
             }
         }
         if (e.ncall > m_last_call) {
diff --git a/llama.cpp b/llama.cpp
index 32264a008..8b675ea99 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -15237,6 +15237,14 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
         if (imatrix_data) {
             LLAMA_LOG_INFO("================================ Have weights data with %d entries\n",int(imatrix_data->size()));
             qs.has_imatrix = true;
+            // check imatrix for nans or infs
+            for (const auto & kv : *imatrix_data) {
+                for (float f : kv.second) {
+                    if (!std::isfinite(f)) {
+                        throw std::runtime_error(format("imatrix contains non-finite value %f\n", f));
+                    }
+                }
+            }
         }
     }
 

From d5c938cd7716b9a2ace49a43a469dfbffcff4d28 Mon Sep 17 00:00:00 2001
From: pengxin99 <pengxin.yuan@intel.com>
Date: Fri, 7 Jun 2024 14:28:26 +0800
Subject: [PATCH 025/131] [SYCL] fix softmax r2r result wrong issue (#7811)

---
 ggml-sycl.cpp | 1 +
 1 file changed, 1 insertion(+)

diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 3ff76474d..0a645b2e1 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -9108,6 +9108,7 @@ static void soft_max_f32(const float * x, const float * mask, float * dst, const
     // find the sum of exps in the block
     tmp = warp_reduce_sum(tmp, item_ct1);
     if (block_size > WARP_SIZE) {
+        item_ct1.barrier(sycl::access::fence_space::local_space);
         if (warp_id == 0) {
             buf[lane_id] = 0.f;
         }

From a5cabd76491f07494c5b8267f921c73f5e2bbfb4 Mon Sep 17 00:00:00 2001
From: woodx <124784234+woodx9@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:09:45 +0800
Subject: [PATCH 026/131] server : do not get prompt in infill mode (#7286)

* avoid to get prompt in infill mode and embedding mode

* remove embedding mode

* refactor format

---------

Co-authored-by: wudexiang <wudexiang@bytedance.com>
---
 examples/server/server.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 74da81dad..528220607 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -888,7 +888,7 @@ struct server_context {
         slot.params.input_suffix = json_value(data, "input_suffix", default_params.input_suffix);
 
         // get prompt
-        {
+        if (!task.infill) {
             const auto & prompt = data.find("prompt");
             if (prompt == data.end()) {
                 send_error(task, "Either \"prompt\" or \"messages\" must be provided", ERROR_TYPE_INVALID_REQUEST);

From 7027b27d765db95d4ac6b569d976e387a8715881 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Fri, 7 Jun 2024 11:15:49 +0200
Subject: [PATCH 027/131] server: update cache_prompt documentation [no ci]
 (#7745)

---
 examples/server/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/README.md b/examples/server/README.md
index 0c3db8c84..ccbdcdbdb 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -279,7 +279,7 @@ node index.js
 
     `id_slot`: Assign the completion task to an specific slot. If is -1 the task will be assigned to a Idle slot.  Default: `-1`
 
-    `cache_prompt`: Re-use previously cached prompt from the last request if possible. This may prevent re-caching the prompt from scratch.  Default: `false`
+    `cache_prompt`: Re-use KV cache from a previous request if possible. This way the common prefix does not have to be re-processed, only the suffix that differs between the requests. Because (depending on the backend) the logits are **not** guaranteed to be bit-for-bit identical for different batch sizes (prompt processing vs. token generation) enabling this option can cause nondeterministic results. Default: `false`
 
     `system_prompt`: Change the system prompt (initial prompt of all slots), this is useful for chat applications. [See more](#change-system-prompt-on-runtime)
 

From 27615f5ab21060d96953c9c1e223051ab2188f57 Mon Sep 17 00:00:00 2001
From: intelmatt <61025942+intelmatt@users.noreply.github.com>
Date: Fri, 7 Jun 2024 05:15:07 -0700
Subject: [PATCH 028/131] cmake : fix BUILD_SHARED_LIBS=ON build (#7784)

common depends on pthreads in Linux
---
 common/CMakeLists.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt
index 0ec8d6d8d..171530c91 100644
--- a/common/CMakeLists.txt
+++ b/common/CMakeLists.txt
@@ -84,4 +84,4 @@ endif ()
 
 target_include_directories(${TARGET} PUBLIC .)
 target_compile_features(${TARGET} PUBLIC cxx_std_11)
-target_link_libraries(${TARGET} PRIVATE ${LLAMA_COMMON_EXTRA_LIBS} PUBLIC llama)
+target_link_libraries(${TARGET} PRIVATE ${LLAMA_COMMON_EXTRA_LIBS} PUBLIC llama Threads::Threads)

From c00fad71e507ff386d42bd74846fe06d19dd63a4 Mon Sep 17 00:00:00 2001
From: Christian Zhou-Zheng <59622928+christianazinn@users.noreply.github.com>
Date: Fri, 7 Jun 2024 08:56:01 -0400
Subject: [PATCH 029/131] gguf-split : change binary multi-byte units to
 decimal (#7803)

---
 examples/gguf-split/gguf-split.cpp | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/examples/gguf-split/gguf-split.cpp b/examples/gguf-split/gguf-split.cpp
index e04feeae3..881f0451c 100644
--- a/examples/gguf-split/gguf-split.cpp
+++ b/examples/gguf-split/gguf-split.cpp
@@ -61,10 +61,10 @@ static size_t split_str_to_n_bytes(std::string str) {
     int n;
     if (str.back() == 'M') {
         sscanf(str.c_str(), "%d", &n);
-        n_bytes = (size_t)n * 1024 * 1024; // megabytes
+        n_bytes = (size_t)n * 1000 * 1000; // megabytes
     } else if (str.back() == 'G') {
         sscanf(str.c_str(), "%d", &n);
-        n_bytes = (size_t)n * 1024 * 1024 * 1024; // gigabytes
+        n_bytes = (size_t)n * 1000 * 1000 * 1000; // gigabytes
     } else {
         throw std::invalid_argument("error: supported units are M (megabytes) or G (gigabytes), but got: " + std::string(1, str.back()));
     }
@@ -284,7 +284,7 @@ struct split_strategy {
                 struct ggml_tensor * t = ggml_get_tensor(ctx_meta, gguf_get_tensor_name(ctx_out, i));
                 total_size += ggml_nbytes(t);
             }
-            total_size = total_size / 1024 / 1024; // convert to megabytes
+            total_size = total_size / 1000 / 1000; // convert to megabytes
             printf("split %05d: n_tensors = %d, total_size = %ldM\n", i_split + 1, gguf_get_n_tensors(ctx_out), total_size);
             i_split++;
         }

From da799b41891e34aac86ce4e173f9c4c0afd4fab3 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Fri, 7 Jun 2024 19:47:49 +0200
Subject: [PATCH 030/131] vulkan : reuse parent extra for views (#7806)

* vulkan : reuse parent extra for views

* Fix validation error when multiple compute contexts are used in a graph

---------

Co-authored-by: 0cc4m <picard12@live.de>
---
 ggml-vulkan.cpp | 128 +++++++++++++++++++++---------------------------
 1 file changed, 56 insertions(+), 72 deletions(-)

diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index e0c512c0d..128769177 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -345,15 +345,12 @@ struct vk_context {
 };
 
 struct ggml_tensor_extra_gpu {
-    bool ready;
-
     size_t ctx_idx;
 
     vk_buffer_ref buffer_gpu;
     uint64_t offset;
 
     void reset() {
-        ready = false;
         ctx_idx = 0;
         buffer_gpu.reset();
         offset = 0;
@@ -2949,7 +2946,7 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     GGML_ASSERT(d_D->size >= d_buf_offset + d_sz * ne02 * ne03);
     vk_buffer d_X;
@@ -2958,12 +2955,12 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
     uint64_t y_buf_offset = 0;
     if (!src0_uma) {
         d_Qx = extra_src0->buffer_gpu.lock();
-        qx_buf_offset = extra_src0->offset;
+        qx_buf_offset = extra_src0->offset + src0->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
     if (!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qy != nullptr);
     }
     if (qx_needs_dequant) {
@@ -3114,7 +3111,7 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     vk_buffer d_X;
     uint64_t x_buf_offset = 0;
@@ -3122,12 +3119,12 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
     uint64_t y_buf_offset = 0;
     if(!src0_uma) {
         d_Qx = extra_src0->buffer_gpu.lock();
-        qx_buf_offset = extra_src0->offset;
+        qx_buf_offset = extra_src0->offset + src0->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
     if(!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qy != nullptr);
     }
     if (qx_needs_dequant) {
@@ -3246,14 +3243,14 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
-    const uint64_t qx_buf_offset = extra_src0->offset;
+    const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
     GGML_ASSERT(d_Qx != nullptr);
     if (!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
 
@@ -3323,14 +3320,14 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     vk_buffer d_Qx = extra_src0->buffer_gpu.lock();
-    const uint64_t qx_buf_offset = extra_src0->offset;
+    const uint64_t qx_buf_offset = extra_src0->offset + src0->view_offs;
     GGML_ASSERT(d_Qx != nullptr);
     if (!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
 
@@ -3459,7 +3456,7 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     vk_buffer d_X;
     uint64_t x_buf_offset = 0;
@@ -3467,17 +3464,17 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
     uint64_t y_buf_offset = 0;
     if (!src0_uma) {
         d_Qx = extra_src0->buffer_gpu.lock();
-        qx_buf_offset = extra_src0->offset;
+        qx_buf_offset = extra_src0->offset + src0->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
     if (!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qy != nullptr);
     }
     if (!ids_uma) {
         d_ids = extra_ids->buffer_gpu.lock();
-        ids_buf_offset = extra_ids->offset;
+        ids_buf_offset = extra_ids->offset + ids->view_offs;
         GGML_ASSERT(d_ids != nullptr);
     }
     if (qx_needs_dequant) {
@@ -3636,7 +3633,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     const uint64_t d_sz = sizeof(float) * d_ne;
 
     vk_buffer d_D = extra->buffer_gpu.lock();
-    const uint64_t d_buf_offset = extra->offset;
+    const uint64_t d_buf_offset = extra->offset + dst->view_offs;
     GGML_ASSERT(d_D != nullptr);
     vk_buffer d_X;
     uint64_t x_buf_offset = 0;
@@ -3644,17 +3641,17 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     uint64_t y_buf_offset = 0;
     if(!src0_uma) {
         d_Qx = extra_src0->buffer_gpu.lock();
-        qx_buf_offset = extra_src0->offset;
+        qx_buf_offset = extra_src0->offset + src0->view_offs;
         GGML_ASSERT(d_Qx != nullptr);
     }
     if(!src1_uma) {
         d_Qy = extra_src1->buffer_gpu.lock();
-        qy_buf_offset = extra_src1->offset;
+        qy_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Qy != nullptr);
     }
     if(!ids_uma) {
         d_ids = extra_ids->buffer_gpu.lock();
-        ids_buf_offset = extra_ids->offset;
+        ids_buf_offset = extra_ids->offset + ids->view_offs;
         GGML_ASSERT(d_ids != nullptr);
     }
     if (qx_needs_dequant) {
@@ -3769,9 +3766,9 @@ static void ggml_vk_op_repeat(ggml_backend_vk_context * ctx, vk_context * subctx
     ggml_tensor_extra_gpu * extra_src0 = (ggml_tensor_extra_gpu *) src0->extra;
 
     const vk_buffer src_buf = extra_src0->buffer_gpu.lock();
-    const uint64_t src_offset = extra_src0->offset;
+    const uint64_t src_offset = extra_src0->offset + src0->view_offs;
     vk_buffer dst_buf = extra->buffer_gpu.lock();
-    const uint64_t dst_offset = extra->offset;
+    const uint64_t dst_offset = extra->offset + dst->view_offs;
 
     std::vector<vk::BufferCopy> copies;
 
@@ -4062,21 +4059,21 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
     }
 
     GGML_ASSERT(d_D != nullptr);
-    uint64_t d_buf_offset = (extra->offset / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
+    uint64_t d_buf_offset = ((extra->offset + dst->view_offs) / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
     GGML_ASSERT(d_buf_offset == extra->offset || op == GGML_OP_CPY);  // NOLINT
     if(!src0_uma) {
         d_X = extra_src0->buffer_gpu.lock();
-        x_buf_offset = extra_src0->offset;
+        x_buf_offset = extra_src0->offset + src0->view_offs;
         GGML_ASSERT(d_X != nullptr);
     }
     if (use_src1 && !src1_uma) {
         d_Y = extra_src1->buffer_gpu.lock();
-        y_buf_offset = extra_src1->offset;
+        y_buf_offset = extra_src1->offset + src1->view_offs;
         GGML_ASSERT(d_Y != nullptr);
     }
     if (use_src2 && !src2_uma) {
         d_Z = extra_src2->buffer_gpu.lock();
-        z_buf_offset = extra_src2->offset;
+        z_buf_offset = extra_src2->offset + src2->view_offs;
         GGML_ASSERT(d_Z != nullptr);
     }
 
@@ -4336,7 +4333,7 @@ static void ggml_vk_cpy(ggml_backend_vk_context * ctx, vk_context * subctx, cons
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) dst->extra;
     const uint32_t src0_type_size = ggml_type_size(src0->type);
     const uint32_t dst_type_size = ggml_type_size(dst->type);
-    const uint32_t d_offset = (extra->offset % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
+    const uint32_t d_offset = ((extra->offset + dst->view_offs) % ctx->device->properties.limits.minStorageBufferOffsetAlignment) / dst_type_size;
 
     ggml_vk_op_f32<vk_op_unary_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_CPY, {
         (uint32_t)ggml_nelements(src0),
@@ -5569,6 +5566,13 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     const ggml_tensor * src2 = node->src[2];
 
     switch (node->op) {
+    // Return on empty ops to avoid generating a compute_ctx and setting exit_tensor
+    case GGML_OP_RESHAPE:
+    case GGML_OP_VIEW:
+    case GGML_OP_PERMUTE:
+    case GGML_OP_TRANSPOSE:
+    case GGML_OP_NONE:
+        return;
     case GGML_OP_UNARY:
         switch (ggml_get_unary_op(node)) {
         case GGML_UNARY_OP_SILU:
@@ -5590,10 +5594,6 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_CPY:
     case GGML_OP_CONT:
     case GGML_OP_DUP:
-    case GGML_OP_RESHAPE:
-    case GGML_OP_VIEW:
-    case GGML_OP_PERMUTE:
-    case GGML_OP_TRANSPOSE:
     case GGML_OP_NORM:
     case GGML_OP_RMS_NORM:
     case GGML_OP_DIAG_MASK_INF:
@@ -5601,7 +5601,6 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_ROPE:
     case GGML_OP_MUL_MAT:
     case GGML_OP_MUL_MAT_ID:
-    case GGML_OP_NONE:
     case GGML_OP_ARGSORT:
     case GGML_OP_SUM_ROWS:
         break;
@@ -5654,12 +5653,6 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     case GGML_OP_DUP:
         ggml_vk_cpy(ctx, ctx->compute_ctx, src0, node);
 
-        break;
-    case GGML_OP_RESHAPE:
-    case GGML_OP_VIEW:
-    case GGML_OP_PERMUTE:
-    case GGML_OP_TRANSPOSE:
-    case GGML_OP_NONE:
         break;
     case GGML_OP_NORM:
         ggml_vk_norm(ctx, ctx->compute_ctx, src0, node);
@@ -5712,7 +5705,6 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
         return;
     }
 
-    extra->ready = true;
     extra->ctx_idx = ctx->compute_ctx->idx;
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
@@ -5796,8 +5788,6 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
     ggml_vk_check_results_0(ctx, params, tensor);
 #endif
 
-    GGML_ASSERT(extra->ready);
-
     vk_context& subctx = ctx->gc.contexts[extra->ctx_idx];
 
     // Only run if ctx hasn't been submitted yet
@@ -5822,8 +5812,6 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
         subctx.out_memcpys.clear();
     }
 
-    extra->ready = false;
-
     return true;
 }
 
@@ -5943,7 +5931,9 @@ struct ggml_backend_vk_buffer_context {
 
     ~ggml_backend_vk_buffer_context() {
         ggml_vk_destroy_buffer(dev_buffer);
-        delete[] temp_tensor_extras;
+        if (temp_tensor_extras != nullptr) {
+            delete[] temp_tensor_extras;
+        }
     }
 
     ggml_tensor_extra_gpu * ggml_vk_alloc_temp_tensor_extra() {
@@ -5990,18 +5980,16 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b
 #endif
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
-    ggml_tensor_extra_gpu * extra = ctx->ggml_vk_alloc_temp_tensor_extra();
-    if (tensor->view_src != nullptr && tensor->view_src->extra != nullptr) {
+    if (tensor->view_src != nullptr) {
         GGML_ASSERT(tensor->view_src->buffer->buft == buffer->buft);
-        ggml_tensor_extra_gpu * extra_view = (ggml_tensor_extra_gpu *) tensor->view_src->extra;
-        extra->buffer_gpu = extra_view->buffer_gpu;
-        extra->offset = extra_view->offset + tensor->view_offs;
+        GGML_ASSERT(tensor->view_src->extra != nullptr);
+        tensor->extra = tensor->view_src->extra;
     } else {
+        ggml_tensor_extra_gpu * extra = ctx->ggml_vk_alloc_temp_tensor_extra();
         extra->buffer_gpu = ctx->dev_buffer;
         extra->offset = (uint8_t *) tensor->data - (uint8_t *) vk_ptr_base;
+        tensor->extra = extra;
     }
-
-    tensor->extra = extra;
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
@@ -6014,7 +6002,7 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_write(ctx->ctx, buf, extra->offset + offset, data, size);
+    ggml_vk_buffer_write(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
@@ -6027,7 +6015,7 @@ GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t bu
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_read(ctx->ctx, buf, extra->offset + offset, data, size);
+    ggml_vk_buffer_read(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
 }
 
 GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
@@ -6038,7 +6026,7 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu
         vk_buffer src_buf = src_extra->buffer_gpu.lock();
         vk_buffer dst_buf = dst_extra->buffer_gpu.lock();
 
-        ggml_vk_buffer_copy(dst_buf, dst_extra->offset, src_buf, src_extra->offset, ggml_nbytes(src));
+        ggml_vk_buffer_copy(dst_buf, dst_extra->offset + dst->view_offs, src_buf, src_extra->offset + src->view_offs, ggml_nbytes(src));
 
         return true;
     }
@@ -6264,7 +6252,7 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_write_async(ctx, ctx->transfer_ctx, buf, extra->offset + offset, data, size);
+    ggml_vk_buffer_write_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
 }
 
 GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
@@ -6284,7 +6272,7 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_read_async(ctx, ctx->transfer_ctx, buf, extra->offset + offset, data, size);
+    ggml_vk_buffer_read_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
 }
 
 GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) {
@@ -6305,7 +6293,7 @@ GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, c
         vk_buffer src_buf = src_extra->buffer_gpu.lock();
         vk_buffer dst_buf = dst_extra->buffer_gpu.lock();
 
-        ggml_vk_buffer_copy_async(ctx->transfer_ctx, dst_buf, dst_extra->offset, src_buf, src_extra->offset, ggml_nbytes(src));
+        ggml_vk_buffer_copy_async(ctx->transfer_ctx, dst_buf, dst_extra->offset + dst->view_offs, src_buf, src_extra->offset + src->view_offs, ggml_nbytes(src));
         return true;
     }
 
@@ -6478,11 +6466,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         //         return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16;
         //     } break;
         case GGML_OP_ROPE:
-            {
-                const int mode = ((const int32_t *) op->op_params)[2];
-
-                return true;
-            } break;
+            return true;
         case GGML_OP_NONE:
         case GGML_OP_RESHAPE:
         case GGML_OP_VIEW:
@@ -6725,7 +6709,7 @@ static void ggml_vk_print_tensor(ggml_backend_vk_context * ctx, const ggml_tenso
         ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
         vk_buffer buffer_gpu = extra->buffer_gpu.lock();
-        ggml_vk_buffer_read(ctx, buffer_gpu, extra->offset, tensor_data, tensor_size);
+        ggml_vk_buffer_read(ctx, buffer_gpu, extra->offset + tensor->view_offs, tensor_data, tensor_size);
     }
 
     std::cerr << "TENSOR CHECK " << name << " (" << tensor->name << "): " << ggml_op_name(tensor->op) << std::endl;
@@ -6809,7 +6793,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         } else if (ggml_backend_buffer_is_vk(src0->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src0->extra;
             vk_buffer buffer_gpu = extra->buffer_gpu.lock();
-            uint64_t offset = extra->offset;
+            uint64_t offset = extra->offset + src0->view_offs;
             if (!ggml_is_contiguous(src0) && ggml_vk_dim01_contiguous(src0)) {
                 for (int i3 = 0; i3 < src0->ne[3]; i3++) {
                     for (int i2 = 0; i2 < src0->ne[2]; i2++) {
@@ -6851,7 +6835,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         } else if (ggml_backend_buffer_is_vk(src1->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src1->extra;
             vk_buffer buffer_gpu = extra->buffer_gpu.lock();
-            uint64_t offset = extra->offset;
+            uint64_t offset = extra->offset + src1->view_offs;
             if (!ggml_is_contiguous(src1) && ggml_vk_dim01_contiguous(src1)) {
                 for (int i3 = 0; i3 < src1->ne[3]; i3++) {
                     for (int i2 = 0; i2 < src1->ne[2]; i2++) {
@@ -6909,7 +6893,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         } else if (ggml_backend_buffer_is_vk(src2->buffer)) {
             ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) src2->extra;
             vk_buffer buffer_gpu = extra->buffer_gpu.lock();
-            uint64_t offset = extra->offset;
+            uint64_t offset = extra->offset + src2->view_offs;
             if (!ggml_is_contiguous(src2) && ggml_vk_dim01_contiguous(src2)) {
                 for (int i3 = 0; i3 < src2->ne[3]; i3++) {
                     for (int i2 = 0; i2 < src2->ne[2]; i2++) {
@@ -7092,11 +7076,11 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
         ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
         vk_buffer buffer_gpu = extra->buffer_gpu.lock();
-        if (extra->offset + tensor_size >= buffer_gpu->size) {
-            tensor_size = buffer_gpu->size - (extra->offset);
+        if (extra->offset + tensor->view_offs + tensor_size >= buffer_gpu->size) {
+            tensor_size = buffer_gpu->size - (extra->offset + tensor->view_offs);
         }
 
-        ggml_vk_buffer_read(ctx, buffer_gpu, extra->offset, tensor_data, tensor_size);
+        ggml_vk_buffer_read(ctx, buffer_gpu, extra->offset + tensor->view_offs, tensor_data, tensor_size);
     }
 
     float first_error_result = -1.0f;

From 7a16ce7db2a74a223f0f3b9cee66d4539c5bce8f Mon Sep 17 00:00:00 2001
From: sasha0552 <admin@sasha0552.org>
Date: Sat, 8 Jun 2024 07:50:31 +0000
Subject: [PATCH 031/131] server : smart slot selection using Longest Common
 Prefix (#7728)

* server : Smart selection of available slot using Longest Common Substring

* add usage

* remove trailing whitespaces

* Use Longest Common Prefix (LCP) instead of LCS

* Rename argument
---
 common/common.cpp          |  10 +++
 common/common.h            |   2 +
 examples/server/server.cpp | 138 ++++++++++++++++++++++++++++++++-----
 examples/server/utils.hpp  |   7 ++
 4 files changed, 140 insertions(+), 17 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index cdcb352b5..d2a8bb69e 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1491,6 +1491,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.chat_template = argv[i];
         return true;
     }
+    if (arg == "--slot-prompt-similarity" || arg == "-sps") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.slot_prompt_similarity = std::stof(argv[i]);
+        return true;
+    }
     if (arg == "-pps") {
         params.is_pp_shared = true;
         return true;
@@ -1913,6 +1921,8 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
                                                                         "set custom jinja chat template (default: template taken from model's metadata)\n"
                                                                         "only commonly used templates are accepted:\n"
                                                                         "https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template" });
+    options.push_back({ "server",      "-sps,  --slot-prompt-similarity SIMILARITY",
+                                                                        "how much the prompt of a request must match the prompt of a slot in order to use that slot (default: %.2f, 0.0 = disabled)\n", params.slot_prompt_similarity });
 
 #ifndef LOG_DISABLE_LOGS
     options.push_back({ "logging" });
diff --git a/common/common.h b/common/common.h
index 35f5311e1..038f9084f 100644
--- a/common/common.h
+++ b/common/common.h
@@ -203,6 +203,8 @@ struct gpt_params {
 
     std::string slot_save_path;
 
+    float slot_prompt_similarity = 0.5f;
+
     // batched-bench params
     bool is_pp_shared = false;
 
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 528220607..6ffaa8d9f 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -647,6 +647,9 @@ struct server_context {
 
     server_metrics metrics;
 
+    // Necessary similarity of prompt for slot selection
+    float slot_prompt_similarity = 0.0f;
+
     ~server_context() {
         if (ctx) {
             llama_free(ctx);
@@ -795,24 +798,88 @@ struct server_context {
         return prompt_tokens;
     }
 
-    server_slot * get_slot(int id) {
-        int64_t t_last = ggml_time_us();
-
-        server_slot * last_used = nullptr;
-
+    server_slot * get_slot_by_id(int id) {
         for (server_slot & slot : slots) {
-            if (slot.id == id && slot.available()) {
+            if (slot.id == id) {
                 return &slot;
             }
-
-            // among all available slots, find the one that has been least recently used
-            if (slot.available() && slot.t_last_used < t_last) {
-                last_used = &slot;
-                t_last = slot.t_last_used;
-            }
         }
 
-        return last_used;
+        return nullptr;
+    }
+
+    server_slot * get_available_slot(const std::string & prompt) {
+        server_slot * ret = nullptr;
+
+        // find the slot that has at least n% prompt similarity
+        if (ret == nullptr && slot_prompt_similarity != 0.0f && !prompt.empty()) {
+            int max_lcp_len = 0;
+            float similarity = 0;
+
+            for (server_slot & slot : slots) {
+                // skip the slot if it is not available
+                if (!slot.available()) {
+                    continue;
+                }
+
+                // skip the slot if it does not contains prompt
+                if (!slot.prompt.is_string()) {
+                    continue;
+                }
+
+                // current slot's prompt
+                std::string slot_prompt = slot.prompt.get<std::string>();
+
+                // length of the current slot's prompt
+                int slot_prompt_len = slot_prompt.size();
+
+                // length of the Longest Common Prefix between the current slot's prompt and the input prompt
+                int lcp_len = common_part(slot_prompt, prompt);
+
+                // fraction of the common substring length compared to the current slot's prompt length
+                similarity = static_cast<float>(lcp_len) / slot_prompt_len;
+
+                // select the current slot if the criteria match
+                if (lcp_len > max_lcp_len && similarity > slot_prompt_similarity) {
+                    max_lcp_len = lcp_len;
+                    ret = &slot;
+                }
+            }
+
+            if (ret != nullptr) {
+                LOG_VERBOSE("selected slot by lcp similarity", {
+                    {"id_slot", ret->id},
+                    {"max_lcp_len", max_lcp_len},
+                    {"similarity", similarity},
+                });
+            }
+        }
+
+        // find the slot that has been least recently used
+        if (ret == nullptr) {
+            int64_t t_last = ggml_time_us();
+            for (server_slot & slot : slots) {
+                // skip the slot if it is not available
+                if (!slot.available()) {
+                    continue;
+                }
+
+                // select the current slot if the criteria match
+                if (slot.t_last_used < t_last) {
+                    t_last = slot.t_last_used;
+                    ret = &slot;
+                }
+            }
+
+            if (ret != nullptr) {
+                LOG_VERBOSE("selected slot by lru", {
+                    {"id_slot", ret->id},
+                    {"t_last", t_last},
+                });
+            }
+        }
+
+        return ret;
     }
 
     bool launch_slot_with_task(server_slot & slot, const server_task & task) {
@@ -1515,13 +1582,29 @@ struct server_context {
         switch (task.type) {
             case SERVER_TASK_TYPE_COMPLETION:
                 {
-                    server_slot * slot = get_slot(json_value(task.data, "id_slot", -1));
+                    int id_slot        = json_value(task.data, "id_slot", -1);
+                    std::string prompt = json_value(task.data, "prompt", std::string());
+
+                    server_slot * slot;
+
+                    if (id_slot != -1) {
+                        slot = get_slot_by_id(id_slot);
+                    } else {
+                        slot = get_available_slot(prompt);
+                    }
+
                     if (slot == nullptr) {
                         // if no slot is available, we defer this task for processing later
                         LOG_VERBOSE("no slot is available", {{"id_task", task.id}});
                         queue_tasks.defer(task);
                         break;
                     }
+                    if (!slot->available()) {
+                        // if requested slot is unavailable, we defer this task for processing later
+                        LOG_VERBOSE("requested slot is unavailable", {{"id_task", task.id}});
+                        queue_tasks.defer(task);
+                        break;
+                    }
 
                     if (task.data.contains("system_prompt")) {
                         std::string sys_prompt = json_value(task.data, "system_prompt", std::string());
@@ -1638,11 +1721,17 @@ struct server_context {
             case SERVER_TASK_TYPE_SLOT_SAVE:
                 {
                     int id_slot = task.data.at("id_slot");
-                    server_slot * slot = get_slot(id_slot);
+                    server_slot * slot = get_slot_by_id(id_slot);
                     if (slot == nullptr) {
                         send_error(task, "Invalid slot ID", ERROR_TYPE_INVALID_REQUEST);
                         break;
                     }
+                    if (!slot->available()) {
+                        // if requested slot is unavailable, we defer this task for processing later
+                        LOG_VERBOSE("requested slot is unavailable", {{"id_task", task.id}});
+                        queue_tasks.defer(task);
+                        break;
+                    }
 
                     const size_t token_count = slot->cache_tokens.size();
                     const int64_t t_start = ggml_time_us();
@@ -1673,11 +1762,17 @@ struct server_context {
             case SERVER_TASK_TYPE_SLOT_RESTORE:
                 {
                     int id_slot = task.data.at("id_slot");
-                    server_slot * slot = get_slot(id_slot);
+                    server_slot * slot = get_slot_by_id(id_slot);
                     if (slot == nullptr) {
                         send_error(task, "Invalid slot ID", ERROR_TYPE_INVALID_REQUEST);
                         break;
                     }
+                    if (!slot->available()) {
+                        // if requested slot is unavailable, we defer this task for processing later
+                        LOG_VERBOSE("requested slot is unavailable", {{"id_task", task.id}});
+                        queue_tasks.defer(task);
+                        break;
+                    }
 
                     const int64_t t_start = ggml_time_us();
 
@@ -1715,11 +1810,17 @@ struct server_context {
             case SERVER_TASK_TYPE_SLOT_ERASE:
                 {
                     int id_slot = task.data.at("id_slot");
-                    server_slot * slot = get_slot(id_slot);
+                    server_slot * slot = get_slot_by_id(id_slot);
                     if (slot == nullptr) {
                         send_error(task, "Invalid slot ID", ERROR_TYPE_INVALID_REQUEST);
                         break;
                     }
+                    if (!slot->available()) {
+                        // if requested slot is unavailable, we defer this task for processing later
+                        LOG_VERBOSE("requested slot is unavailable", {{"id_task", task.id}});
+                        queue_tasks.defer(task);
+                        break;
+                    }
 
                     // Erase token cache
                     const size_t n_erased = slot->cache_tokens.size();
@@ -2467,6 +2568,9 @@ int main(int argc, char ** argv) {
         log_data["api_key"] = "api_key: " + std::to_string(params.api_keys.size()) + " keys loaded";
     }
 
+    // Necessary similarity of prompt for slot selection
+    ctx_server.slot_prompt_similarity = params.slot_prompt_similarity;
+
     // load the model
     if (!ctx_server.load_model(params)) {
         state.store(SERVER_STATE_ERROR);
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index b7bfb41d3..63fde9c9f 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -253,6 +253,13 @@ static size_t common_part(const std::vector<llama_token> & a, const std::vector<
     return i;
 }
 
+static size_t common_part(const std::string & a, const std::string & b) {
+    size_t i;
+    for (i = 0; i < a.size() && i < b.size() && a[i] == b[i]; i++) {}
+
+    return i;
+}
+
 static bool ends_with(const std::string & str, const std::string & suffix) {
     return str.size() >= suffix.size() && 0 == str.compare(str.size() - suffix.size(), suffix.size(), suffix);
 }

From d4d915d351d1f1270d56184bdd46672893e8a5d8 Mon Sep 17 00:00:00 2001
From: Olivier Chafik <ochafik@users.noreply.github.com>
Date: Sat, 8 Jun 2024 20:21:08 +0100
Subject: [PATCH 032/131] url: save -mu downloads to new cache location (#7826)

* url: save -mu download to new cache location

* url: fs_get_cache_file_path util

* url: tweak sig of fs_get_cache_file
---
 common/common.cpp | 20 ++++++++++++--------
 common/common.h   |  1 +
 2 files changed, 13 insertions(+), 8 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index d2a8bb69e..1591790e6 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -200,19 +200,13 @@ void gpt_params_handle_model_default(gpt_params & params) {
             }
             params.hf_file = params.model;
         } else if (params.model.empty()) {
-            std::string cache_directory = fs_get_cache_directory();
-            const bool success = fs_create_directory_with_parents(cache_directory);
-            if (!success) {
-                throw std::runtime_error("failed to create cache directory: " + cache_directory);
-            }
-            params.model = cache_directory + string_split(params.hf_file, '/').back();
+            params.model = fs_get_cache_file(string_split(params.hf_file, '/').back());
         }
     } else if (!params.model_url.empty()) {
         if (params.model.empty()) {
             auto f = string_split(params.model_url, '#').front();
             f = string_split(f, '?').front();
-            f = string_split(f, '/').back();
-            params.model =  "models/" + f;
+            params.model = fs_get_cache_file(string_split(f, '/').back());
         }
     } else if (params.model.empty()) {
         params.model = DEFAULT_MODEL_PATH;
@@ -2279,6 +2273,16 @@ std::string fs_get_cache_directory() {
     return ensure_trailing_slash(cache_directory);
 }
 
+std::string fs_get_cache_file(const std::string & filename) {
+    GGML_ASSERT(filename.find(DIRECTORY_SEPARATOR) == std::string::npos);
+    std::string cache_directory = fs_get_cache_directory();
+    const bool success = fs_create_directory_with_parents(cache_directory);
+    if (!success) {
+        throw std::runtime_error("failed to create cache directory: " + cache_directory);
+    }
+    return cache_directory + filename;
+}
+
 
 //
 // Model utils
diff --git a/common/common.h b/common/common.h
index 038f9084f..2345d855e 100644
--- a/common/common.h
+++ b/common/common.h
@@ -277,6 +277,7 @@ bool fs_validate_filename(const std::string & filename);
 bool fs_create_directory_with_parents(const std::string & path);
 
 std::string fs_get_cache_directory();
+std::string fs_get_cache_file(const std::string & filename);
 
 //
 // Model utils

From fe1e3917cfa0f9397a765cfd0aef880674d938d5 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Sun, 9 Jun 2024 01:43:39 +0200
Subject: [PATCH 033/131] Revert "[SYCL] Update rpc-server.cpp to include SYCL
 backend (#7682)" (#7808)

This reverts commit 9422c5e34bbd302493b77a8f6d546154a1f4fe82.
---
 examples/rpc/rpc-server.cpp | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/examples/rpc/rpc-server.cpp b/examples/rpc/rpc-server.cpp
index 62d828250..7c15d2aa4 100644
--- a/examples/rpc/rpc-server.cpp
+++ b/examples/rpc/rpc-server.cpp
@@ -6,10 +6,6 @@
 #include "ggml-metal.h"
 #endif
 
-#ifdef GGML_USE_SYCL
-#include "ggml-sycl.h"
-#endif
-
 #include "ggml-rpc.h"
 #ifdef _WIN32
 #  include <windows.h>
@@ -83,12 +79,6 @@ static ggml_backend_t create_backend() {
     if (!backend) {
         fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__);
     }
-#elif GGML_USE_SYCL
-    fprintf(stderr, "%s: using SYCL backend\n", __func__);
-    backend = ggml_backend_sycl_init(0); // init device 0
-    if (!backend) {
-        fprintf(stderr, "%s: ggml_backend_sycl_init() failed\n", __func__);
-    }
 #endif
 
     // if there aren't GPU Backends fallback to CPU backend

From ed9f2521185706481501a5e6d5315397b11802ff Mon Sep 17 00:00:00 2001
From: compilade <git@compilade.net>
Date: Sat, 8 Jun 2024 22:34:29 -0400
Subject: [PATCH 034/131] gguf-py : decouple adding metadata from writing in
 GGUFWriter (#7827)

Main changes of this PR is to consolidate GGUFWriter.add_key and GGUFWriter.add_val into GGUFWriter.add_key_value.

In addition use_temp_file is now opt-in instead of opt-out defaulting to False.

Also GGUFWriter now does not require output file name until when actually writing to it.

And GGUFWriter doesn't really need to eagerly prepare the data layout of the metadata
---
 convert-hf-to-gguf.py                |   8 +-
 gguf-py/gguf/gguf_writer.py          | 270 +++++++++++++++------------
 gguf-py/scripts/gguf-new-metadata.py |   6 +-
 3 files changed, 160 insertions(+), 124 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index a86864f04..0327712d7 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -47,7 +47,7 @@ class Model:
     _model_classes: dict[str, type[Model]] = {}
 
     dir_model: Path
-    ftype: int
+    ftype: gguf.LlamaFileType
     is_big_endian: bool
     endianess: gguf.GGUFEndian
     use_temp_file: bool
@@ -94,7 +94,7 @@ class Model:
         ftype_lw: str = ftype_up.lower()
         # allow templating the file name with the output ftype, useful with the "auto" ftype
         self.fname_out = fname_out.parent / fname_out.name.format(ftype_lw, outtype=ftype_lw, ftype=ftype_lw, OUTTYPE=ftype_up, FTYPE=ftype_up)
-        self.gguf_writer = gguf.GGUFWriter(self.fname_out, gguf.MODEL_ARCH_NAMES[self.model_arch], endianess=self.endianess, use_temp_file=self.use_temp_file)
+        self.gguf_writer = gguf.GGUFWriter(path=None, arch=gguf.MODEL_ARCH_NAMES[self.model_arch], endianess=self.endianess, use_temp_file=self.use_temp_file)
 
     @classmethod
     def __init_subclass__(cls):
@@ -324,13 +324,13 @@ class Model:
 
     def write(self):
         self.write_tensors()
-        self.gguf_writer.write_header_to_file()
+        self.gguf_writer.write_header_to_file(self.fname_out)
         self.gguf_writer.write_kv_data_to_file()
         self.gguf_writer.write_tensors_to_file(progress=True)
         self.gguf_writer.close()
 
     def write_vocab(self):
-        self.gguf_writer.write_header_to_file()
+        self.gguf_writer.write_header_to_file(self.fname_out)
         self.gguf_writer.write_kv_data_to_file()
         self.gguf_writer.close()
 
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index b93747aff..ed56abfb3 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -5,6 +5,7 @@ import os
 import shutil
 import struct
 import tempfile
+from dataclasses import dataclass
 from enum import Enum, auto
 from io import BufferedWriter
 from typing import IO, Any, Sequence, Mapping
@@ -30,17 +31,36 @@ from .quants import quant_shape_from_byte_shape
 logger = logging.getLogger(__name__)
 
 
+@dataclass
+class TensorInfo:
+    shape: Sequence[int]
+    dtype: GGMLQuantizationType
+    nbytes: int
+    tensor: np.ndarray[Any, Any] | None = None
+
+
+@dataclass
+class GGUFValue:
+    value: Any
+    type: GGUFValueType
+
+
 class WriterState(Enum):
+    NO_FILE = auto()
     EMPTY   = auto()
     HEADER  = auto()
     KV_DATA = auto()
     TI_DATA = auto()
+    WEIGHTS = auto()
 
 
 class GGUFWriter:
-    fout: BufferedWriter
+    fout: BufferedWriter | None
+    path: os.PathLike[str] | str | None
     temp_file: tempfile.SpooledTemporaryFile[bytes] | None
-    tensors: list[np.ndarray[Any, Any]]
+    tensors: dict[str, TensorInfo]
+    kv_data: dict[str, GGUFValue]
+    state: WriterState
     _simple_value_packing = {
         GGUFValueType.UINT8:   "B",
         GGUFValueType.INT8:    "b",
@@ -56,141 +76,140 @@ class GGUFWriter:
     }
 
     def __init__(
-        self, path: os.PathLike[str] | str, arch: str, use_temp_file: bool = True,
+        self, path: os.PathLike[str] | str | None, arch: str, use_temp_file: bool = False,
         endianess: GGUFEndian = GGUFEndian.LITTLE,
     ):
-        self.fout = open(path, "wb")
+        self.fout = None
+        self.path = path
         self.arch = arch
         self.endianess = endianess
-        self.offset_tensor = 0
         self.data_alignment = GGUF_DEFAULT_ALIGNMENT
-        self.kv_data = bytearray()
-        self.kv_data_count = 0
-        self.ti_data = bytearray()
-        self.ti_data_count = 0
-        self.ti_names = set()
         self.use_temp_file = use_temp_file
         self.temp_file = None
-        self.tensors = []
+        self.tensors = dict()
+        self.kv_data = dict()
         logger.info("gguf: This GGUF file is for {0} Endian only".format(
             "Big" if self.endianess == GGUFEndian.BIG else "Little",
         ))
-        self.state = WriterState.EMPTY
+        self.state = WriterState.NO_FILE
 
         self.add_architecture()
 
-    def write_header_to_file(self) -> None:
+    def open_output_file(self, path: os.PathLike[str] | str | None = None) -> None:
+        if self.state is WriterState.EMPTY and self.fout is not None and (path is None or path == self.path):
+            # allow calling this multiple times as long as the path is the same
+            return
+        if self.state is not WriterState.NO_FILE:
+            raise ValueError(f'Expected output file to be not yet opened, got {self.state}')
+
+        if path is not None:
+            self.path = path
+
+        if self.path is not None:
+            if self.fout is not None:
+                self.fout.close()
+            self.fout = open(self.path, "wb")
+            self.state = WriterState.EMPTY
+
+    def write_header_to_file(self, path: os.PathLike[str] | str | None = None) -> None:
+        self.open_output_file(path)
+
         if self.state is not WriterState.EMPTY:
             raise ValueError(f'Expected output file to be empty, got {self.state}')
 
         self._write_packed("<I", GGUF_MAGIC, skip_pack_prefix = True)
         self._write_packed("I", GGUF_VERSION)
-        self._write_packed("Q", self.ti_data_count)
-        self._write_packed("Q", self.kv_data_count)
+        self._write_packed("Q", len(self.tensors))
+        self._write_packed("Q", len(self.kv_data))
         self.flush()
         self.state = WriterState.HEADER
 
     def write_kv_data_to_file(self) -> None:
         if self.state is not WriterState.HEADER:
             raise ValueError(f'Expected output file to contain the header, got {self.state}')
+        assert self.fout is not None
 
-        self.fout.write(self.kv_data)
+        kv_data = bytearray()
+
+        for key, val in self.kv_data.items():
+            kv_data += self._pack_val(key, GGUFValueType.STRING, add_vtype=False)
+            kv_data += self._pack_val(val.value, val.type, add_vtype=True)
+
+        self.fout.write(kv_data)
         self.flush()
         self.state = WriterState.KV_DATA
 
     def write_ti_data_to_file(self) -> None:
         if self.state is not WriterState.KV_DATA:
             raise ValueError(f'Expected output file to contain KV data, got {self.state}')
+        assert self.fout is not None
 
-        self.fout.write(self.ti_data)
+        ti_data = bytearray()
+        offset_tensor = 0
+
+        for name, ti in self.tensors.items():
+            ti_data += self._pack_val(name, GGUFValueType.STRING, add_vtype=False)
+            n_dims = len(ti.shape)
+            ti_data += self._pack("I", n_dims)
+            for i in range(n_dims):
+                ti_data += self._pack("Q", ti.shape[n_dims - 1 - i])
+            ti_data += self._pack("I", ti.dtype)
+            ti_data += self._pack("Q", offset_tensor)
+            offset_tensor += GGUFWriter.ggml_pad(ti.nbytes, self.data_alignment)
+
+        self.fout.write(ti_data)
         self.flush()
         self.state = WriterState.TI_DATA
 
-    def add_key(self, key: str) -> None:
-        self.add_val(key, GGUFValueType.STRING, add_vtype=False)
+    def add_key_value(self, key: str, val: Any, vtype: GGUFValueType) -> None:
+        if key in self.kv_data:
+            raise ValueError(f'Duplicated key name {key!r}')
+
+        self.kv_data[key] = GGUFValue(value=val, type=vtype)
 
     def add_uint8(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.UINT8)
+        self.add_key_value(key,val, GGUFValueType.UINT8)
 
     def add_int8(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.INT8)
+        self.add_key_value(key, val, GGUFValueType.INT8)
 
     def add_uint16(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.UINT16)
+        self.add_key_value(key, val, GGUFValueType.UINT16)
 
     def add_int16(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.INT16)
+        self.add_key_value(key, val, GGUFValueType.INT16)
 
     def add_uint32(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.UINT32)
+        self.add_key_value(key, val, GGUFValueType.UINT32)
 
     def add_int32(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.INT32)
+        self.add_key_value(key, val, GGUFValueType.INT32)
 
     def add_float32(self, key: str, val: float) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.FLOAT32)
+        self.add_key_value(key, val, GGUFValueType.FLOAT32)
 
     def add_uint64(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.UINT64)
+        self.add_key_value(key, val, GGUFValueType.UINT64)
 
     def add_int64(self, key: str, val: int) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.INT64)
+        self.add_key_value(key, val, GGUFValueType.INT64)
 
     def add_float64(self, key: str, val: float) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.FLOAT64)
+        self.add_key_value(key, val, GGUFValueType.FLOAT64)
 
     def add_bool(self, key: str, val: bool) -> None:
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.BOOL)
+        self.add_key_value(key, val, GGUFValueType.BOOL)
 
     def add_string(self, key: str, val: str) -> None:
         if not val:
             return
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.STRING)
+        self.add_key_value(key, val, GGUFValueType.STRING)
 
     def add_array(self, key: str, val: Sequence[Any]) -> None:
         if not isinstance(val, Sequence):
             raise ValueError("Value must be a sequence for array type")
 
-        self.add_key(key)
-        self.add_val(val, GGUFValueType.ARRAY)
-
-    def add_val(self, val: Any, vtype: GGUFValueType | None = None, add_vtype: bool = True) -> None:
-        if vtype is None:
-            vtype = GGUFValueType.get_type(val)
-
-        if add_vtype:
-            self.kv_data += self._pack("I", vtype)
-            self.kv_data_count += 1
-
-        pack_fmt = self._simple_value_packing.get(vtype)
-        if pack_fmt is not None:
-            self.kv_data += self._pack(pack_fmt, val, skip_pack_prefix = vtype == GGUFValueType.BOOL)
-        elif vtype == GGUFValueType.STRING:
-            encoded_val = val.encode("utf-8") if isinstance(val, str) else val
-            self.kv_data += self._pack("Q", len(encoded_val))
-            self.kv_data += encoded_val
-        elif vtype == GGUFValueType.ARRAY and isinstance(val, Sequence) and val:
-            ltype = GGUFValueType.get_type(val[0])
-            if not all(GGUFValueType.get_type(i) is ltype for i in val[1:]):
-                raise ValueError("All items in a GGUF array should be of the same type")
-            self.kv_data += self._pack("I", ltype)
-            self.kv_data += self._pack("Q", len(val))
-            for item in val:
-                self.add_val(item, add_vtype=False)
-        else:
-            raise ValueError("Invalid GGUF metadata value type or value")
+        self.add_key_value(key, val, GGUFValueType.ARRAY)
 
     @staticmethod
     def ggml_pad(x: int, n: int) -> int:
@@ -200,16 +219,12 @@ class GGUFWriter:
         self, name: str, tensor_shape: Sequence[int], tensor_dtype: np.dtype,
         tensor_nbytes: int, raw_dtype: GGMLQuantizationType | None = None,
     ) -> None:
-        if self.state is not WriterState.EMPTY:
-            raise ValueError(f'Expected output file to be empty, got {self.state}')
+        if self.state is not WriterState.NO_FILE:
+            raise ValueError(f'Expected output file to be not yet opened, got {self.state}')
 
-        if name in self.ti_names:
-            raise ValueError(f'Duplicated tensor name {name}')
-        self.ti_names.add(name)
+        if name in self.tensors:
+            raise ValueError(f'Duplicated tensor name {name!r}')
 
-        encoded_name = name.encode("utf-8")
-        self.ti_data += self._pack("Q", len(encoded_name))
-        self.ti_data += encoded_name
         if raw_dtype is None:
             if tensor_dtype == np.float16:
                 dtype = GGMLQuantizationType.F16
@@ -231,14 +246,8 @@ class GGUFWriter:
             dtype = raw_dtype
             if tensor_dtype == np.uint8:
                 tensor_shape = quant_shape_from_byte_shape(tensor_shape, raw_dtype)
-        n_dims = len(tensor_shape)
-        self.ti_data += self._pack("I", n_dims)
-        for i in range(n_dims):
-            self.ti_data += self._pack("Q", tensor_shape[n_dims - 1 - i])
-        self.ti_data += self._pack("I", dtype)
-        self.ti_data += self._pack("Q", self.offset_tensor)
-        self.offset_tensor += GGUFWriter.ggml_pad(tensor_nbytes, self.data_alignment)
-        self.ti_data_count += 1
+
+        self.tensors[name] = TensorInfo(shape=tensor_shape, dtype=dtype, nbytes=tensor_nbytes)
 
     def add_tensor(
         self, name: str, tensor: np.ndarray[Any, Any], raw_shape: Sequence[int] | None = None,
@@ -252,10 +261,10 @@ class GGUFWriter:
             self.temp_file = fp
 
         shape: Sequence[int] = raw_shape if raw_shape is not None else tensor.shape
-        self.add_tensor_info(name, shape, tensor.dtype, tensor.nbytes, raw_dtype = raw_dtype)
+        self.add_tensor_info(name, shape, tensor.dtype, tensor.nbytes, raw_dtype=raw_dtype)
 
         if self.temp_file is None:
-            self.tensors.append(tensor)
+            self.tensors[name].tensor = tensor
             return
 
         tensor.tofile(self.temp_file)
@@ -267,8 +276,9 @@ class GGUFWriter:
             fp.write(bytes([0] * pad))
 
     def write_tensor_data(self, tensor: np.ndarray[Any, Any]) -> None:
-        if self.state is not WriterState.TI_DATA:
-            raise ValueError(f'Expected output file to contain tensor info, got {self.state}')
+        if self.state is not WriterState.TI_DATA and self.state is not WriterState.WEIGHTS:
+            raise ValueError(f'Expected output file to contain tensor info or weights, got {self.state}')
+        assert self.fout is not None
 
         if self.endianess == GGUFEndian.BIG:
             tensor.byteswap(inplace=True)
@@ -276,50 +286,51 @@ class GGUFWriter:
         tensor.tofile(self.fout)
         self.write_padding(self.fout, tensor.nbytes)
 
+        self.state = WriterState.WEIGHTS
+
     def write_tensors_to_file(self, *, progress: bool = False) -> None:
         self.write_ti_data_to_file()
 
+        assert self.fout is not None
+
         self.write_padding(self.fout, self.fout.tell())
 
         if self.temp_file is None:
-            self.tensors.reverse()  # to pop from the "beginning" in constant time
+            bar = None
 
             if progress:
                 from tqdm import tqdm
 
-                total_bytes = sum(t.nbytes for t in self.tensors)
+                total_bytes = sum(t.nbytes for t in self.tensors.values())
 
                 bar = tqdm(desc="Writing", total=total_bytes, unit="byte", unit_scale=True)
 
-                while True:
-                    try:
-                        tensor = self.tensors.pop()
-                    except IndexError:
-                        break
-                    tensor.tofile(self.fout)
-                    bar.update(tensor.nbytes)
-                    self.write_padding(self.fout, tensor.nbytes)
-                return
-            while True:
-                try:
-                    tensor = self.tensors.pop()
-                except IndexError:
-                    break
-                tensor.tofile(self.fout)
-                self.write_padding(self.fout, tensor.nbytes)
-            return
+            # relying on the fact that Python dicts preserve insertion order (since 3.7)
+            for ti in self.tensors.values():
+                assert ti.tensor is not None  # can only iterate once over the tensors
+                assert ti.tensor.nbytes == ti.nbytes
+                ti.tensor.tofile(self.fout)
+                if bar is not None:
+                    bar.update(ti.nbytes)
+                self.write_padding(self.fout, ti.nbytes)
+                ti.tensor = None
+        else:
+            self.temp_file.seek(0)
 
-        self.temp_file.seek(0)
+            shutil.copyfileobj(self.temp_file, self.fout)
+            self.flush()
+            self.temp_file.close()
 
-        shutil.copyfileobj(self.temp_file, self.fout)
-        self.flush()
-        self.temp_file.close()
+        self.state = WriterState.WEIGHTS
 
     def flush(self) -> None:
+        assert self.fout is not None
         self.fout.flush()
 
     def close(self) -> None:
-        self.fout.close()
+        if self.fout is not None:
+            self.fout.close()
+            self.fout = None
 
     def add_architecture(self) -> None:
         self.add_string(Keys.General.ARCHITECTURE, self.arch)
@@ -449,7 +460,7 @@ class GGUFWriter:
     def add_rope_scaling_factor(self, value: float) -> None:
         self.add_float32(Keys.Rope.SCALING_FACTOR.format(arch=self.arch), value)
 
-    def add_rope_scaling_attn_factors(self, value: Sequence[float]) -> None:
+    def add_rope_scaling_attn_factors(self, value: float) -> None:
         self.add_float32(Keys.Rope.SCALING_ATTN_FACTOR.format(arch=self.arch), value)
 
     def add_rope_scaling_orig_ctx_len(self, value: int) -> None:
@@ -571,5 +582,32 @@ class GGUFWriter:
             pack_prefix = '<' if self.endianess == GGUFEndian.LITTLE else '>'
         return struct.pack(f'{pack_prefix}{fmt}', value)
 
+    def _pack_val(self, val: Any, vtype: GGUFValueType, add_vtype: bool) -> bytes:
+        kv_data = bytearray()
+
+        if add_vtype:
+            kv_data += self._pack("I", vtype)
+
+        pack_fmt = self._simple_value_packing.get(vtype)
+        if pack_fmt is not None:
+            kv_data += self._pack(pack_fmt, val, skip_pack_prefix = vtype == GGUFValueType.BOOL)
+        elif vtype == GGUFValueType.STRING:
+            encoded_val = val.encode("utf-8") if isinstance(val, str) else val
+            kv_data += self._pack("Q", len(encoded_val))
+            kv_data += encoded_val
+        elif vtype == GGUFValueType.ARRAY and isinstance(val, Sequence) and val:
+            ltype = GGUFValueType.get_type(val[0])
+            if not all(GGUFValueType.get_type(i) is ltype for i in val[1:]):
+                raise ValueError("All items in a GGUF array should be of the same type")
+            kv_data += self._pack("I", ltype)
+            kv_data += self._pack("Q", len(val))
+            for item in val:
+                kv_data += self._pack_val(item, ltype, add_vtype=False)
+        else:
+            raise ValueError("Invalid GGUF metadata value type or value")
+
+        return kv_data
+
     def _write_packed(self, fmt: str, value: Any, skip_pack_prefix: bool = False) -> None:
+        assert self.fout is not None
         self.fout.write(self._pack(fmt, value, skip_pack_prefix))
diff --git a/gguf-py/scripts/gguf-new-metadata.py b/gguf-py/scripts/gguf-new-metadata.py
index 21e91180c..c4b90d581 100755
--- a/gguf-py/scripts/gguf-new-metadata.py
+++ b/gguf-py/scripts/gguf-new-metadata.py
@@ -101,8 +101,7 @@ def copy_with_new_metadata(reader: gguf.GGUFReader, writer: gguf.GGUFWriter, new
             logger.debug(f'Copying {field.name}')
 
         if val.value is not None:
-            writer.add_key(field.name)
-            writer.add_val(val.value, val.type)
+            writer.add_key_value(field.name, val.value, val.type)
 
     if gguf.Keys.Tokenizer.CHAT_TEMPLATE in new_metadata:
         logger.debug('Adding chat template(s)')
@@ -111,8 +110,7 @@ def copy_with_new_metadata(reader: gguf.GGUFReader, writer: gguf.GGUFWriter, new
 
     for key, val in new_metadata.items():
         logger.debug(f'Adding {key}: "{val.value}" {val.description}')
-        writer.add_key(key)
-        writer.add_val(val.value, val.type)
+        writer.add_key_value(key, val.value, val.type)
 
     total_bytes = 0
 

From 5795b941827fdec6c1662986de962badff456718 Mon Sep 17 00:00:00 2001
From: compilade <git@compilade.net>
Date: Sat, 8 Jun 2024 22:47:25 -0400
Subject: [PATCH 035/131] convert-hf : match model part name prefix and suffix
 (#7687)

In #7075, to fix the conversion of (some) models using model-00001-of-00001.safetensors instead of model.safetensors for a single model part we simply used the same logic as the part count to get the part names.

But this doesn't always work correctly, like when unusual additional model files like consolidated.safetensors in https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3 are present.

This commit matching both the prefix and the suffix of the model part names should fix this problem without breaking any previously-supported upstream models. But according to report by @teleprint-me there is still some
persistent problem, but shall do in the meantime.
---
 convert-hf-to-gguf.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 0327712d7..b38f48edf 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -73,10 +73,10 @@ class Model:
         self.endianess = gguf.GGUFEndian.BIG if is_big_endian else gguf.GGUFEndian.LITTLE
         self.use_temp_file = use_temp_file
         self.lazy = not eager
-        self.part_names = Model.get_model_part_names(self.dir_model, ".safetensors")
+        self.part_names = Model.get_model_part_names(self.dir_model, "model", ".safetensors")
         self.is_safetensors = len(self.part_names) > 0
         if not self.is_safetensors:
-            self.part_names = Model.get_model_part_names(self.dir_model, ".bin")
+            self.part_names = Model.get_model_part_names(self.dir_model, "pytorch_model", ".bin")
         self.hparams = Model.load_hparams(self.dir_model)
         self.block_count = self.find_hparam(["n_layers", "num_hidden_layers", "n_layer"])
         self.tensor_map = gguf.get_tensor_name_map(self.model_arch, self.block_count)
@@ -335,10 +335,10 @@ class Model:
         self.gguf_writer.close()
 
     @staticmethod
-    def get_model_part_names(dir_model: Path, suffix: str) -> list[str]:
+    def get_model_part_names(dir_model: Path, prefix: str, suffix: str) -> list[str]:
         part_names: list[str] = []
         for filename in os.listdir(dir_model):
-            if filename.endswith(suffix):
+            if filename.startswith(prefix) and filename.endswith(suffix):
                 part_names.append(filename)
 
         part_names.sort()

From 2decf57bc6e4a6b45176c3727d964a01161beecc Mon Sep 17 00:00:00 2001
From: sasha0552 <admin@sasha0552.org>
Date: Sun, 9 Jun 2024 06:39:25 +0000
Subject: [PATCH 036/131] convert-hf : set the model name based on cli arg, if
 present (#7693)

 `--model-name` argument was added a while ago but did not do anything.
This commit fixes this issue and enables this feature.
---
 convert-hf-to-gguf.py | 26 ++++++++++++++------------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index b38f48edf..025405a2c 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -52,6 +52,7 @@ class Model:
     endianess: gguf.GGUFEndian
     use_temp_file: bool
     lazy: bool
+    model_name: str | None
     part_names: list[str]
     is_safetensors: bool
     hparams: dict[str, Any]
@@ -64,7 +65,7 @@ class Model:
     # subclasses should define this!
     model_arch: gguf.MODEL_ARCH
 
-    def __init__(self, dir_model: Path, ftype: gguf.LlamaFileType, fname_out: Path, is_big_endian: bool, use_temp_file: bool, eager: bool):
+    def __init__(self, dir_model: Path, ftype: gguf.LlamaFileType, fname_out: Path, is_big_endian: bool, use_temp_file: bool, eager: bool, model_name: str | None):
         if type(self) is Model:
             raise TypeError(f"{type(self).__name__!r} should not be directly instantiated")
         self.dir_model = dir_model
@@ -73,6 +74,7 @@ class Model:
         self.endianess = gguf.GGUFEndian.BIG if is_big_endian else gguf.GGUFEndian.LITTLE
         self.use_temp_file = use_temp_file
         self.lazy = not eager
+        self.model_name = model_name
         self.part_names = Model.get_model_part_names(self.dir_model, "model", ".safetensors")
         self.is_safetensors = len(self.part_names) > 0
         if not self.is_safetensors:
@@ -182,7 +184,7 @@ class Model:
         return new_name
 
     def set_gguf_parameters(self):
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_block_count(self.block_count)
 
         if (n_ctx := self.find_hparam(["max_position_embeddings", "n_ctx"], optional=True)) is not None:
@@ -665,7 +667,7 @@ class GPTNeoXModel(Model):
     def set_gguf_parameters(self):
         block_count = self.hparams["num_hidden_layers"]
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_context_length(self.hparams["max_position_embeddings"])
         self.gguf_writer.add_embedding_length(self.hparams["hidden_size"])
         self.gguf_writer.add_block_count(block_count)
@@ -798,7 +800,7 @@ class MPTModel(Model):
 
     def set_gguf_parameters(self):
         block_count = self.hparams["n_layers"]
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_context_length(self.hparams["max_seq_len"])
         self.gguf_writer.add_embedding_length(self.hparams["d_model"])
         self.gguf_writer.add_block_count(block_count)
@@ -850,7 +852,7 @@ class OrionModel(Model):
             raise ValueError("gguf: can not find ctx length parameter.")
 
         self.gguf_writer.add_file_type(self.ftype)
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_source_hf_repo(hf_repo)
         self.gguf_writer.add_tensor_data_layout("Meta AI original pth")
         self.gguf_writer.add_context_length(ctx_length)
@@ -887,7 +889,7 @@ class BaichuanModel(Model):
         else:
             raise ValueError("gguf: can not find ctx length parameter.")
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_source_hf_repo(hf_repo)
         self.gguf_writer.add_tensor_data_layout("Meta AI original pth")
         self.gguf_writer.add_context_length(ctx_length)
@@ -1010,7 +1012,7 @@ class XverseModel(Model):
         else:
             raise ValueError("gguf: can not find ctx length parameter.")
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_source_hf_repo(hf_repo)
         self.gguf_writer.add_tensor_data_layout("Meta AI original pth")
         self.gguf_writer.add_context_length(ctx_length)
@@ -1206,7 +1208,7 @@ class StableLMModel(Model):
         hparams = self.hparams
         block_count = hparams["num_hidden_layers"]
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_context_length(hparams["max_position_embeddings"])
         self.gguf_writer.add_embedding_length(hparams["hidden_size"])
         self.gguf_writer.add_block_count(block_count)
@@ -1681,7 +1683,7 @@ class GPT2Model(Model):
     model_arch = gguf.MODEL_ARCH.GPT2
 
     def set_gguf_parameters(self):
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_block_count(self.hparams["n_layer"])
         self.gguf_writer.add_context_length(self.hparams["n_ctx"])
         self.gguf_writer.add_embedding_length(self.hparams["n_embd"])
@@ -2248,7 +2250,7 @@ class GemmaModel(Model):
         hparams = self.hparams
         block_count = hparams["num_hidden_layers"]
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_context_length(hparams["max_position_embeddings"])
         self.gguf_writer.add_embedding_length(hparams["hidden_size"])
         self.gguf_writer.add_block_count(block_count)
@@ -2348,7 +2350,7 @@ class MambaModel(Model):
         # Fail early for models which don't have a block expansion factor of 2
         assert d_inner == 2 * d_model
 
-        self.gguf_writer.add_name(self.dir_model.name)
+        self.gguf_writer.add_name(self.dir_model.name if self.model_name is None else self.model_name)
         self.gguf_writer.add_context_length(2**20) # arbitrary value; for those who use the default
         self.gguf_writer.add_embedding_length(d_model)
         self.gguf_writer.add_feed_forward_length(0) # unused, but seemingly required when loading
@@ -2852,7 +2854,7 @@ def main() -> None:
             logger.error(f"Model {hparams['architectures'][0]} is not supported")
             sys.exit(1)
 
-        model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file, args.no_lazy)
+        model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file, args.no_lazy, args.model_name)
 
         logger.info("Set model parameters")
         model_instance.set_gguf_parameters()

From 42b53d192f4e3abf1b7c8e424628424504ea5dc5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Sun, 9 Jun 2024 09:42:25 +0200
Subject: [PATCH 037/131] CUDA: revise q8_1 data layout for mul_mat_q (#7824)

---
 ggml-cuda.cu           |  88 +++++++++------
 ggml-cuda/mmq.cu       |   3 +-
 ggml-cuda/mmq.cuh      | 236 ++++++++++++++++++++++-------------------
 ggml-cuda/quantize.cu  |  89 ++++++++++++++--
 ggml-cuda/quantize.cuh |  17 ++-
 5 files changed, 282 insertions(+), 151 deletions(-)

diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index dad8a9e2d..af10f21a0 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -1347,10 +1347,30 @@ static void ggml_cuda_set_peer_access(const int n_tokens, int main_device) {
     GGML_UNUSED(main_device);
 }
 
+static cudaError_t ggml_cuda_Memcpy2DPeerAsync(
+    void * dst, int dstDevice, size_t dpitch, void * src, int srcDevice, size_t spitch, size_t width, size_t height, cudaStream_t stream) {
+
+#if !defined(GGML_USE_HIPBLAS)
+    // cudaMemcpy2DAsync may fail with copies between vmm pools of different devices
+    cudaMemcpy3DPeerParms p = {};
+    p.dstDevice = dstDevice;
+    p.dstPtr = make_cudaPitchedPtr(dst, dpitch, dpitch, height);
+    p.srcDevice = srcDevice;
+    p.srcPtr = make_cudaPitchedPtr(src, spitch, spitch, height);
+    p.extent = make_cudaExtent(width, height, 1);
+    return cudaMemcpy3DPeerAsync(&p, stream);
+#else
+    // HIP does not support cudaMemcpy3DPeerAsync or vmm pools
+    GGML_UNUSED(dstDevice);
+    GGML_UNUSED(srcDevice);
+    return cudaMemcpy2DAsync(dst, dpitch, src, spitch, width, height, cudaMemcpyDeviceToDevice, stream);
+#endif // !defined(GGML_USE_HIPBLAS)
+}
+
 static void ggml_cuda_op_mul_mat(
     ggml_backend_cuda_context & ctx,
     const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, ggml_cuda_op_mul_mat_t op,
-    const bool convert_src1_to_q8_1) {
+    quantize_cuda_t quantize_src1) {
 
     const int64_t ne00 = src0->ne[0];
     const int64_t ne01 = src0->ne[1];
@@ -1407,7 +1427,9 @@ static void ggml_cuda_op_mul_mat(
     }
 
     struct dev_data {
-        ggml_cuda_pool_alloc<char>  src0_dd_alloc;
+        int cc;
+
+        ggml_cuda_pool_alloc<char>   src0_dd_alloc;
         ggml_cuda_pool_alloc<float> src1_ddf_alloc;
         ggml_cuda_pool_alloc<char>  src1_ddq_alloc;
         ggml_cuda_pool_alloc<float>   dst_dd_alloc;
@@ -1426,6 +1448,8 @@ static void ggml_cuda_op_mul_mat(
     int used_devices = 0;
 
     for (int id = 0; id < ggml_backend_cuda_get_device_count(); ++id) {
+        dev[id].cc = ggml_cuda_info().devices[id].cc;
+
         // by default, use all rows
         dev[id].row_low  = 0;
         dev[id].row_high = ne01;
@@ -1476,11 +1500,15 @@ static void ggml_cuda_op_mul_mat(
             dev[id].src1_ddf = dev[id].src1_ddf_alloc.alloc(ctx.pool(id), ggml_nelements(src1));
         }
 
-        if (convert_src1_to_q8_1) {
-            dev[id].src1_ddq = dev[id].src1_ddq_alloc.alloc(ctx.pool(id), nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs);
+        if (quantize_src1) {
+            size_t src_1_ddq_size = nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs;
+            if (quantize_src1 == quantize_mmq_q8_1_cuda) {
+                src_1_ddq_size += get_mmq_x_max_host(dev[id].cc)*sizeof(block_q8_1_mmq);
+            }
+            dev[id].src1_ddq = dev[id].src1_ddq_alloc.alloc(ctx.pool(id), src_1_ddq_size);
 
             if (src1_on_device && src1_is_contiguous) {
-                quantize_row_q8_1_cuda(dev[id].src1_ddf, dev[id].src1_ddq, ne10, nrows1, src1_padded_col_size, stream);
+                quantize_src1(dev[id].src1_ddf, dev[id].src1_ddq, ne10, ne11, ne12*ne13, src1_padded_col_size, src0->type, stream);
                 CUDA_CHECK(cudaGetLastError());
             }
         }
@@ -1526,7 +1554,12 @@ static void ggml_cuda_op_mul_mat(
                 const int64_t i03 = i0 / ne12;
                 const int64_t i02 = i0 % ne12;
 
-                const size_t src1_ddq_i_offset = (i0*ne11 + src1_col_0) * src1_padded_col_size*q8_1_ts/q8_1_bs;
+                size_t src1_ddq_i_offset = i0*ne11 * src1_padded_col_size*q8_1_ts/q8_1_bs;
+                if (quantize_src1 == quantize_mmq_q8_1_cuda) {
+                    src1_ddq_i_offset += src1_col_0 * sizeof(block_q8_1_mmq);
+                } else {
+                    src1_ddq_i_offset += src1_col_0 * src1_padded_col_size*q8_1_ts/q8_1_bs;
+                }
 
                 // for split tensors the data begins at i0 == i0_offset_low
                 char  *  src0_dd_i =  dev[id].src0_dd + (i0/i02_divisor) * (ne01*ne00*src0_ts)/src0_bs;
@@ -1543,10 +1576,17 @@ static void ggml_cuda_op_mul_mat(
                 // copy src0, src1 to device if necessary
                 if (src1_is_contiguous) {
                     if (id != ctx.device) {
-                        if (convert_src1_to_q8_1) {
+                        if (quantize_src1) {
                             char * src1_ddq_i_source = dev[ctx.device].src1_ddq + src1_ddq_i_offset;
-                            CUDA_CHECK(cudaMemcpyPeerAsync(src1_ddq_i, id, src1_ddq_i_source, ctx.device,
-                                                            src1_ncols*src1_padded_col_size*q8_1_ts/q8_1_bs, stream));
+                            if (quantize_src1 == quantize_mmq_q8_1_cuda) {
+                                const size_t pitch = ne11*sizeof(block_q8_1_mmq);
+                                const size_t width = src1_ncols*sizeof(block_q8_1_mmq);
+                                const size_t height = src1_padded_col_size/(4*QK8_1);
+                                CUDA_CHECK(ggml_cuda_Memcpy2DPeerAsync(src1_ddq_i, id, pitch, src1_ddq_i_source, ctx.device, pitch, width, height, stream));
+                            } else {
+                                CUDA_CHECK(cudaMemcpyPeerAsync(
+                                    src1_ddq_i, id, src1_ddq_i_source, ctx.device, src1_ncols*src1_padded_col_size*q8_1_ts/q8_1_bs, stream));
+                            }
                         } else {
                             float * src1_ddf_i_source = (float *) src1->data;
                             src1_ddf_i_source += (i0*ne11 + src1_col_0) * ne10;
@@ -1561,8 +1601,8 @@ static void ggml_cuda_op_mul_mat(
                     GGML_ASSERT(false);
                 }
 
-                if (convert_src1_to_q8_1 && !src1_is_contiguous) {
-                    quantize_row_q8_1_cuda(src1_ddf_i, src1_ddq_i, ne10, src1_ncols, src1_padded_col_size, stream);
+                if (quantize_src1 && !src1_is_contiguous) {
+                    quantize_src1(src1_ddf_i, src1_ddq_i, ne10, src1_ncols, 1, src1_padded_col_size, src0->type, stream);
                     CUDA_CHECK(cudaGetLastError());
                 }
 
@@ -1587,22 +1627,8 @@ static void ggml_cuda_op_mul_mat(
                         float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3);
                         GGML_ASSERT(dst->nb[1] == ne0*sizeof(float));
                         dhf_dst_i += src1_col_0*ne0 + dev[id].row_low;
-#if !defined(GGML_USE_HIPBLAS)
-                        // cudaMemcpy2DAsync may fail with copies between vmm pools of different devices
-                        cudaMemcpy3DPeerParms p = {};
-                        p.dstDevice = ctx.device;
-                        p.dstPtr = make_cudaPitchedPtr(dhf_dst_i, ne0*sizeof(float), row_diff, src1_ncols);
-                        p.srcDevice = id;
-                        p.srcPtr = make_cudaPitchedPtr(dst_dd_i, row_diff*sizeof(float), row_diff, src1_ncols);
-                        p.extent = make_cudaExtent(row_diff*sizeof(float), src1_ncols, 1);
-                        CUDA_CHECK(cudaMemcpy3DPeerAsync(&p, stream));
-#else
-                        // HIP does not support cudaMemcpy3DPeerAsync or vmm pools
-                        CUDA_CHECK(cudaMemcpy2DAsync(dhf_dst_i, ne0*sizeof(float),
-                                                        dst_dd_i, row_diff*sizeof(float),
-                                                        row_diff*sizeof(float), src1_ncols,
-                                                        cudaMemcpyDeviceToDevice, stream));
-#endif
+                        CUDA_CHECK(ggml_cuda_Memcpy2DPeerAsync(
+                            dhf_dst_i, ctx.device, ne0*sizeof(float), dst_dd_i, id, row_diff*sizeof(float), row_diff*sizeof(float), src1_ncols, stream));
                     } else {
                         float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3);
                         GGML_ASSERT(dst->nb[1] == ne0*sizeof(float));
@@ -1941,13 +1967,13 @@ static void ggml_cuda_mul_mat(ggml_backend_cuda_context & ctx, const ggml_tensor
         // KQ + KQV multi-batch
         ggml_cuda_mul_mat_batched_cublas(ctx, src0, src1, dst);
     } else if (use_dequantize_mul_mat_vec) {
-        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_dequantize_mul_mat_vec, false);
+        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_dequantize_mul_mat_vec, nullptr);
     } else if (use_mul_mat_vec_q) {
-        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_vec_q, true);
+        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_vec_q, quantize_row_q8_1_cuda);
     } else if (use_mul_mat_q) {
-        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_q, true);
+        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_q, quantize_mmq_q8_1_cuda);
     } else {
-        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_cublas, false);
+        ggml_cuda_op_mul_mat(ctx, src0, src1, dst, ggml_cuda_op_mul_mat_cublas, nullptr);
     }
 }
 
diff --git a/ggml-cuda/mmq.cu b/ggml-cuda/mmq.cu
index 58799e4ca..1d6b9e698 100644
--- a/ggml-cuda/mmq.cu
+++ b/ggml-cuda/mmq.cu
@@ -11,6 +11,7 @@ void ggml_cuda_op_mul_mat_q(
     const int64_t nb01 = src0->nb[1];
 
     const int64_t ne10 = src1->ne[0];
+    const int64_t ne11 = src1->ne[1];
     GGML_ASSERT(ne10 % QK8_1 == 0);
 
     const int64_t ne0 = dst->ne[0];
@@ -25,7 +26,7 @@ void ggml_cuda_op_mul_mat_q(
     // nrows_dst == nrows of the matrix that the kernel writes into
     const int64_t nrows_dst = id == ctx.device ? ne0 : row_diff;
 
-    const mmq_args args = {src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stride00, src1_padded_row_size, src1_ncols, nrows_dst};
+    const mmq_args args = {src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stride00, src1_padded_row_size, src1_ncols, ne11, nrows_dst};
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 6744cce6d..3ccae8a0c 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -1,15 +1,26 @@
+#pragma once
+
 #include "common.cuh"
 #include "vecdotq.cuh"
 
 #include <climits>
 #include <cstdint>
 
+#define MMQ_TILE_Y_K (WARP_SIZE + WARP_SIZE/QI8_1)
+
 typedef void (*load_tiles_mmq_t)(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride);
 typedef void (*vec_dot_mmq_t)(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ms, float * __restrict__ sum, const int & k0);
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0);
+
+struct block_q8_1_mmq {
+    half2  ds[4];
+    int8_t qs[4*QK8_1];
+};
+static_assert(sizeof(block_q8_1_mmq) == 4*QK8_1 + 4*sizeof(half2), "Unexpected block_q8_1_mmq size");
+static_assert(sizeof(block_q8_1_mmq) == 4*sizeof(block_q8_1),      "Unexpected block_q8_1_mmq size");
 
 struct tile_x_sizes {
     int ql;
@@ -132,10 +143,14 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
+    const float * x_dmf = (const float *) x_dm;
+    const int   * y_qs  = (const int   *) y + 4;
+    const half2 * y_ds  = (const half2 *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -145,19 +160,18 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mul_mat(
             const int i = i0 + threadIdx.x;
 
             const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
-            const float * x_dmf = (const float *) x_dm;
 
             int u[2*VDR_Q4_0_Q8_1_MMQ];
 
 #pragma unroll
             for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
-                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE];
+                u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l + QI4_0) % WARP_SIZE];
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
-                (&x_ql[i * (WARP_SIZE + 1) + k0], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
-                y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_dmf[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
+                y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
@@ -203,10 +217,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -221,13 +238,13 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mul_mat(
 
 #pragma unroll
             for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
-                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE];
+                u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l + QI4_1) % WARP_SIZE];
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
-                (&x_ql[i * (WARP_SIZE + 1) + k0], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k0/QI4_1],
-                y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_dm[i*(WARP_SIZE/QI4_1) + i/QI4_1 + k0/QI4_1],
+                y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
@@ -293,10 +310,14 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
+    const float * x_dmf = (const float *) x_dm;
+    const int   * y_qs  = (const int   *) y + 4;
+    const float * y_df  = (const float *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -306,20 +327,18 @@ static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mul_mat(
             const int i = i0 + threadIdx.x;
 
             const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
-            const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k0/QI5_0;
-            const float * x_dmf = (const float *) x_dm;
-            const float * y_df  = (const float *) y_ds;
+            const int index_bx = i*(WARP_SIZE/QI5_0) + i/QI5_0 + k0/QI5_0;
 
             int u[2*VDR_Q5_0_Q8_1_MMQ];
 
 #pragma unroll
             for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
-                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
+                u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l + QI5_0) % WARP_SIZE];
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, QR5_0*VDR_Q5_0_Q8_1_MMQ>
-                (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k0], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_ql[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dmf[index_bx], y_df[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
@@ -383,10 +402,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
+    const int   * y_qs  = (const int   *) y + 4;
+    const half2 * y_ds  = (const half2 *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -396,18 +418,18 @@ static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mul_mat(
             const int i = i0 + threadIdx.x;
 
             const int kyqs = k0 % (QI8_1/2) + QI8_1 * (k0 / (QI8_1/2));
-            const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k0/QI5_1;
+            const int index_bx = i*(WARP_SIZE/QI5_1) + i/QI5_1 + k0/QI5_1;
 
             int u[2*VDR_Q5_1_Q8_1_MMQ];
 
 #pragma unroll
             for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
-                u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-                u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE];
+                u[2*l+0] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l)         % WARP_SIZE];
+                u[2*l+1] = y_qs[j*MMQ_TILE_Y_K + (kyqs + l + QI5_1) % WARP_SIZE];
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
-                (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k0], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_ql[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dm[index_bx], y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
@@ -455,10 +477,14 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
+    const float * x_dmf = (const float *) x_dm;
+    const int   * y_qs  = (const int   *) y + 4;
+    const float * y_df  = (const float *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -467,12 +493,9 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mul_mat(
         for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
             const int i = i0 + threadIdx.x;
 
-            const float * x_dmf = (const float *) x_dm;
-            const float * y_df  = (const float *) y_ds;
-
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMQ>
-                (&x_ql[i * (WARP_SIZE + 1) + k0], &y_qs[j * WARP_SIZE + k0], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0],
-                y_df[j * (WARP_SIZE/QI8_1) + k0/QI8_1]);
+                (&x_ql[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + k0], x_dmf[i*(WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0],
+                y_df[j*MMQ_TILE_Y_K + k0/QI8_1]);
         }
     }
 }
@@ -531,10 +554,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh);
 
+    const int   * y_qs  = (const int   *) y + 4;
+    const float * y_df  = (const float *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -545,11 +571,10 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
 
             const int kbx = k0 / QI2_K;
             const int ky  = (k0 % QI2_K) * QR2_K;
-            const float * y_df = (const float *) y_ds;
 
             int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
 
-            const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
+            const int kqsx = i*(WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
             const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
 
 #pragma unroll
@@ -557,11 +582,11 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
                 v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
             }
 
-            const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
+            const uint8_t * scales = ((const uint8_t *) &x_sc[i*(WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
 
-            const int index_y = j * WARP_SIZE + (QR2_K*k0) % WARP_SIZE;
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q2_K_q8_1_impl_mmq(
-                v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]);
+                v, &y_qs[j*MMQ_TILE_Y_K + (QR2_K*k0) % WARP_SIZE], scales,
+                x_dm[i*(WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[j*MMQ_TILE_Y_K + ((QR2_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
 }
@@ -646,7 +671,11 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    const float * x_dmf = (const float *) x_dm;
+    const int   * y_qs  = (const int   *) y + 4;
+    const float * y_df  = (const float *) y;
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -658,8 +687,6 @@ static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
 
             const int kbx  = k0 / QI3_K;
             const int ky  = (k0 % QI3_K) * QR3_K;
-            const float * x_dmf = (const float *) x_dm;
-            const float * y_df  = (const float *) y_ds;
 
             const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
 
@@ -667,19 +694,19 @@ static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
 
 #pragma unroll
             for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
-                const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
+                const int kqsx = i*(WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
                 const int shift = 2 * ((ky % 32) / 8);
                 const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
 
-                const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
+                const int vh = x_qh[i*(WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
                 const int vlh = (vh << 2) & 0x04040404;
 
                 v[l] = __vsubss4(vll, vlh);
             }
 
-            const int index_y = j * WARP_SIZE + (k0*QR3_K) % WARP_SIZE;
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q3_K_q8_1_impl_mmq(
-                v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]);
+                v, &y_qs[j*MMQ_TILE_Y_K + (k0*QR3_K) % WARP_SIZE], scales,
+                x_dmf[i*(WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[j*MMQ_TILE_Y_K + ((k0*QR3_K) % WARP_SIZE)/QI8_1]);
         }
     }
 }
@@ -746,10 +773,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh);
 
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -760,9 +790,9 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mul_mat(
 
             const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2*((k0 % 16) / 8);
 
-            const int index_y = j * WARP_SIZE + (QR4_K*k0) % WARP_SIZE;
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_K_q8_1_impl_mmq(
-                &x_ql[i * (WARP_SIZE + 1) + k0], &y_qs[index_y], sc, sc+8, x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]);
+                &x_ql[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + (QR4_K*k0) % WARP_SIZE], sc, sc+8,
+                x_dm[i*(WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[j*MMQ_TILE_Y_K + ((QR4_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
 }
@@ -842,10 +872,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh);
 
+    const int   * y_qs  = (const int   *) y + 4;
+    const half2 * y_ds  = (const half2 *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -856,10 +889,9 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mul_mat(
 
             const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2 * ((k0 % 16) / 8);
 
-            const int index_x = i * (QR5_K*WARP_SIZE + 1) +  QR5_K*k0;
-            const int index_y = j * WARP_SIZE             + (QR5_K*k0) % WARP_SIZE;
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q5_K_q8_1_impl_mmq(
-                &x_ql[index_x], &y_qs[index_y], sc, sc+8, x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]);
+                &x_ql[i*(QR5_K*WARP_SIZE + 1) + QR5_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR5_K*k0) % WARP_SIZE], sc, sc+8,
+                x_dm[i*(WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[j*MMQ_TILE_Y_K + ((QR5_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
 }
@@ -932,10 +964,14 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
-    const int * __restrict__ y_qs, const half2 * __restrict__ y_ds, float * __restrict__ sum, const int & k0) {
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh);
 
+    const float * x_dmf = (const float *) x_dm;
+    const int   * y_qs  = (const int   *) y + 4;
+    const float * y_df  = (const float *) y;
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
         const int j = j0 + threadIdx.y;
@@ -944,15 +980,11 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
         for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
             const int i = i0 + threadIdx.x;
 
-            const float * x_dmf = (const float *) x_dm;
-            const float * y_df  = (const float *) y_ds;
-
             const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/8]);
 
-            const int index_x = i * (QR6_K*WARP_SIZE + 1) +  QR6_K*k0;
-            const int index_y = j * WARP_SIZE             + (QR6_K*k0) % WARP_SIZE;
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q6_K_q8_1_impl_mmq(
-                &x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
+                &x_ql[i*(QR6_K*WARP_SIZE + 1) + QR6_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR6_K*k0) % WARP_SIZE], sc,
+                x_dmf[i*(WARP_SIZE/QI6_K) + i/QI6_K], &y_df[j*MMQ_TILE_Y_K + ((QR6_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
 }
@@ -964,7 +996,6 @@ struct mmq_type_traits;
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_0> {
-    static constexpr bool             need_sum   = true;
     static constexpr int              vdr        = VDR_Q4_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_0<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -972,7 +1003,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_0> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_1> {
-    static constexpr bool             need_sum   = true;
     static constexpr int              vdr        = VDR_Q4_1_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_1<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -980,7 +1010,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_1> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_0> {
-    static constexpr bool             need_sum   = false;
     static constexpr int              vdr        = VDR_Q5_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_0<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -988,7 +1017,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_0> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_1> {
-    static constexpr bool             need_sum   = true;
     static constexpr int              vdr        = VDR_Q5_1_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_1<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -996,7 +1024,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_1> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q8_0> {
-    static constexpr bool             need_sum   = false;
     static constexpr int              vdr        = VDR_Q8_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q8_0<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -1004,7 +1031,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q8_0> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q2_K> {
-    static constexpr bool             need_sum   = false;
     static constexpr int              vdr        = VDR_Q2_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q2_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q2_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -1012,7 +1038,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q2_K> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q3_K> {
-    static constexpr bool             need_sum   = false;
     static constexpr int              vdr        = VDR_Q3_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q3_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q3_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -1020,7 +1045,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q3_K> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
-    static constexpr bool             need_sum   = true;
     static constexpr int              vdr        = VDR_Q4_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -1028,7 +1052,6 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
-    static constexpr bool             need_sum   = true;
     static constexpr int              vdr        = VDR_Q5_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
@@ -1036,12 +1059,36 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q6_K> {
-    static constexpr bool             need_sum   = false;
     static constexpr int              vdr        = VDR_Q6_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q6_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
 };
 
+static int mmq_need_sum(const ggml_type type_x) {
+    switch (type_x) {
+        case GGML_TYPE_Q4_0:
+        case GGML_TYPE_Q4_1:
+            return true;
+        case GGML_TYPE_Q5_0:
+            return false;
+        case GGML_TYPE_Q5_1:
+            return true;
+        case GGML_TYPE_Q8_0:
+        case GGML_TYPE_Q2_K:
+        case GGML_TYPE_Q3_K:
+            return false;
+        case GGML_TYPE_Q4_K:
+        case GGML_TYPE_Q5_K:
+            return true;
+        case GGML_TYPE_Q6_K:
+            return false;
+        default:
+            GGML_ASSERT(false);
+            break;
+    }
+    return false;
+}
+
 template <ggml_type type, int mmq_x, int nwarps, bool need_check>
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #if defined(RDNA3) || defined(RDNA2)
@@ -1056,7 +1103,7 @@ template <ggml_type type, int mmq_x, int nwarps, bool need_check>
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 static __global__ void mul_mat_q(
     const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst,
-    const int ne00, const int ne01, const int stride00, const int ne10, const int ne11, const int ne0) {
+    const int ne00, const int ne01, const int stride01, const int ne10, const int ne11, const int stride11, const int ne0) {
 
     // Skip unused template specializations for faster compilation:
     if (mmq_x > get_mmq_x_max_device()) {
@@ -1068,7 +1115,6 @@ static __global__ void mul_mat_q(
     constexpr int              qr         = ggml_cuda_type_traits<type>::qr;
     constexpr int              qi         = ggml_cuda_type_traits<type>::qi;
     constexpr int              mmq_y      = get_mmq_y_device(mmq_x);
-    constexpr bool             need_sum   = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::need_sum;
     constexpr int              vdr        = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vdr;
     constexpr load_tiles_mmq_t load_tiles = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::load_tiles;
     constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot;
@@ -1080,62 +1126,38 @@ static __global__ void mul_mat_q(
     half2 * tile_x_dm = (half2 *) (tile_x_ql + txs.ql);
     int   * tile_x_qh = (int   *) (tile_x_dm + txs.dm);
     int   * tile_x_sc = (int   *) (tile_x_qh + txs.qh);
-    int   * tile_y_qs = (int   *) (tile_x_sc + txs.sc);          // [mmq_x * WARP_SIZE]
-    half2 * tile_y_ds = (half2 *) (tile_y_qs + mmq_x*WARP_SIZE); // [mmq_x * WARP_SIZE/QI8_1];
-
-    const block_q8_1 * y = (const block_q8_1 *) yc;
+    int   * tile_y    = (int   *) (tile_x_sc + txs.sc); // [mmq_x * (WARP_SIZE + WARP_SIZE/QI8_1)]
 
     const int blocks_per_row_x = ne00 / qk;
-    const int blocks_per_col_y = ne10 / QK8_1;
     const int blocks_per_warp = WARP_SIZE / qi;
 
     const int & ne1 = ne11;
 
     const int tile_x_max_i = ne01 - blockIdx.x*mmq_y - 1;
 
+    const int * y = (const int *) yc + blockIdx.y*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int));
+
     float sum[(mmq_x/nwarps) * (mmq_y/WARP_SIZE)] = {0.0f};
 
     for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) {
 
-        load_tiles(x, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, stride00*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride00);
+        load_tiles(x, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, stride01*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride01);
 
 #pragma unroll
         for (int kr = 0; kr < qr; ++kr) {
-            const int kqs = kr*WARP_SIZE + threadIdx.x;
-            const int kbxd = kqs / QI8_1;
-
+            const int * by0 = y + stride11*(kb0*(qk*sizeof(block_q8_1_mmq) / (4*QK8_1*sizeof(int))) + kr*sizeof(block_q8_1_mmq)/sizeof(int));
 #pragma unroll
-            for (int i0 = 0; i0 < mmq_x; i0 += nwarps) {
-                const int i = min(blockIdx.y*mmq_x + threadIdx.y + i0, ne11-1); // to prevent out-of-bounds memory accesses
+            for (int l0 = 0; l0 < mmq_x*MMQ_TILE_Y_K; l0 += nwarps*WARP_SIZE) {
+                int l = l0 + threadIdx.y*WARP_SIZE + threadIdx.x;
 
-                const block_q8_1 * by0 = &y[i*blocks_per_col_y + kb0 * (qk/QK8_1) + kbxd];
-
-                const int index_y = (i0 + threadIdx.y) * WARP_SIZE + kqs % WARP_SIZE;
-                tile_y_qs[index_y] = get_int_from_int8_aligned(by0->qs, threadIdx.x % QI8_1);
-            }
-
-#pragma unroll
-            for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) {
-                const int ids = (ids0 + threadIdx.y * QI8_1 + threadIdx.x / (WARP_SIZE/QI8_1)) % mmq_x;
-                const int kby = threadIdx.x % (WARP_SIZE/QI8_1);
-                const int i_y_eff = min(blockIdx.y*mmq_x + ids, ne11-1);
-
-                // if the sum is not needed it's faster to transform the scale to f32 ahead of time
-                const half2 * dsi_src = &y[i_y_eff*blocks_per_col_y + kb0 * (qk/QK8_1) + kr*(WARP_SIZE/QI8_1) + kby].ds;
-                half2       * dsi_dst = &tile_y_ds[ids * (WARP_SIZE/QI8_1) + kby];
-                if (need_sum) {
-                    *dsi_dst = *dsi_src;
-                } else {
-                    float * dfi_dst = (float *) dsi_dst;
-                    *dfi_dst = __low2float(*dsi_src);
-                }
+                tile_y[l] = by0[l];
             }
 
             __syncthreads();
 
 // #pragma unroll // unrolling this loop causes too much register pressure
             for (int k0 = kr*WARP_SIZE/qr; k0 < (kr+1)*WARP_SIZE/qr; k0 += vdr) {
-                vec_dot(tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, tile_y_qs, tile_y_ds, sum, k0);
+                vec_dot(tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, tile_y, sum, k0);
             }
 
             __syncthreads();
@@ -1165,8 +1187,8 @@ static __global__ void mul_mat_q(
 
 struct mmq_args {
     const char * x; const char * y; float * dst;
-    int64_t ne00; int64_t ne01; int64_t stride00;
-    int64_t ne10; int64_t ne11;
+    int64_t ne00; int64_t ne01; int64_t stride01;
+    int64_t ne10; int64_t ne11; int64_t stride11;
     int64_t ne0;
 };
 
@@ -1184,7 +1206,7 @@ static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
     const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y);
     const int shmem_x = txs.ql*sizeof(int) + txs.dm*sizeof(half2) + txs.qh*sizeof(int) + txs.sc*sizeof(int);
     const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2);
-    const int shmem = shmem_x + shmem_y;
+    const int shmem = shmem_x + GGML_PAD(shmem_y, nwarps*WARP_SIZE*sizeof(int));
 
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
     static bool shmem_limit_raised[GGML_CUDA_MAX_DEVICES] = {false};
@@ -1198,11 +1220,11 @@ static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
     if (args.ne01 % mmq_y == 0) {
         const bool need_check = false;
         mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
-            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride00, args.ne10, args.ne11, args.ne0);
+            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
     } else {
         const bool need_check = true;
         mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
-            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride00, args.ne10, args.ne11, args.ne0);
+            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
     }
 }
 
diff --git a/ggml-cuda/quantize.cu b/ggml-cuda/quantize.cu
index 7578c4b6c..b46786822 100644
--- a/ggml-cuda/quantize.cu
+++ b/ggml-cuda/quantize.cu
@@ -1,22 +1,23 @@
 #include "quantize.cuh"
+#include <cstdint>
 
-static __global__ void quantize_q8_1(const float * __restrict__ x, void * __restrict__ vy, const int64_t kx, const int64_t kx_padded) {
-    const int64_t ix = (int64_t)blockDim.x*blockIdx.x + threadIdx.x;
+static __global__ void quantize_q8_1(const float * __restrict__ x, void * __restrict__ vy, const int64_t kx, const int64_t kx0_padded) {
+    const int64_t ix0 = (int64_t)blockDim.x*blockIdx.x + threadIdx.x;
 
-    if (ix >= kx_padded) {
+    if (ix0 >= kx0_padded) {
         return;
     }
 
-    const int64_t iy = (int64_t)blockDim.y*blockIdx.y + threadIdx.y;
+    const int64_t ix1 = blockIdx.y;
 
-    const int64_t i_padded = (int64_t)iy*kx_padded + ix;
+    const int64_t i_padded = ix1*kx0_padded + ix0;
 
     block_q8_1 * y = (block_q8_1 *) vy;
 
     const int64_t ib = i_padded / QK8_1; // block index
     const int64_t iqs = i_padded % QK8_1; // quant index
 
-    const float xi = ix < kx ? x[iy*kx + ix] : 0.0f;
+    const float xi = ix0 < kx ? x[ix1*kx + ix0] : 0.0f;
     float amax = fabsf(xi);
     float sum = xi;
 
@@ -36,10 +37,76 @@ static __global__ void quantize_q8_1(const float * __restrict__ x, void * __rest
     reinterpret_cast<half&>(y[ib].ds.y) = sum;
 }
 
-void quantize_row_q8_1_cuda(const float * x, void * vy, const int64_t kx, const int64_t ky, const int64_t kx_padded, cudaStream_t stream) {
-    const int64_t block_num_x = (kx_padded + CUDA_QUANTIZE_BLOCK_SIZE - 1) / CUDA_QUANTIZE_BLOCK_SIZE;
-    const dim3 num_blocks(block_num_x, ky, 1);
-    const dim3 block_size(CUDA_QUANTIZE_BLOCK_SIZE, 1, 1);
-    quantize_q8_1<<<num_blocks, block_size, 0, stream>>>(x, vy, kx, kx_padded);
+template <bool need_sum>
+static __global__ void quantize_mmq_q8_1(
+    const float * __restrict__ x, void * __restrict__ vy, const int64_t kx0, const int64_t kx1, const int64_t kx0_padded) {
+
+    const int64_t ix0 = (int64_t)blockDim.x*blockIdx.x + threadIdx.x;
+
+    if (ix0 >= kx0_padded) {
+        return;
+    }
+
+    const int64_t ix1 = kx1*blockIdx.z + blockIdx.y;
+
+    block_q8_1_mmq * y = (block_q8_1_mmq *) vy;
+
+    const int64_t ib0 = blockIdx.z*(gridDim.y*gridDim.x*blockDim.x/(4*QK8_1)); // first block of channel
+    const int64_t ib  = ib0 + (ix0 / (4*QK8_1))*kx1 + blockIdx.y;              // block index in channel
+    const int64_t iqs = ix0 % (4*QK8_1);                                       // quant index in block
+
+    const float xi = ix0 < kx0 ? x[ix1*kx0 + ix0] : 0.0f;
+    float amax = fabsf(xi);
+
+    amax = warp_reduce_max(amax);
+
+    float sum;
+    if (need_sum) {
+        sum = warp_reduce_sum(xi);
+    }
+
+    const float d = amax / 127;
+    const int8_t q = amax == 0.0f ? 0 : roundf(xi / d);
+
+    y[ib].qs[iqs] = q;
+
+    if (iqs % QK8_1 != 0) {
+        return;
+    }
+
+    if (need_sum) {
+        y[ib].ds[iqs/QK8_1] = make_half2(d, sum);
+    } else {
+        ((float *) y[ib].ds)[iqs/QK8_1] = d;
+    }
 }
 
+void quantize_row_q8_1_cuda(
+    const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels,
+    const int64_t kx0_padded, const ggml_type type_x, cudaStream_t stream) {
+
+    GGML_ASSERT(kx0_padded % QK8_1 == 0);
+
+    const int64_t block_num_x = (kx0_padded + CUDA_QUANTIZE_BLOCK_SIZE - 1) / CUDA_QUANTIZE_BLOCK_SIZE;
+    const dim3 num_blocks(block_num_x, kx1*channels, 1);
+    const dim3 block_size(CUDA_QUANTIZE_BLOCK_SIZE, 1, 1);
+    quantize_q8_1<<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx0_padded);
+
+    GGML_UNUSED(type_x);
+}
+
+void quantize_mmq_q8_1_cuda(
+    const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels,
+    const int64_t kx0_padded, const ggml_type type_x, cudaStream_t stream) {
+
+    GGML_ASSERT(kx0_padded % (4*QK8_1) == 0);
+
+    const int64_t block_num_x = (kx0_padded + CUDA_QUANTIZE_BLOCK_SIZE - 1) / CUDA_QUANTIZE_BLOCK_SIZE;
+    const dim3 num_blocks(block_num_x, kx1, channels);
+    const dim3 block_size(CUDA_QUANTIZE_BLOCK_SIZE, 1, 1);
+    if (mmq_need_sum(type_x)) {
+        quantize_mmq_q8_1<true><<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
+    } else {
+        quantize_mmq_q8_1<false><<<num_blocks, block_size, 0, stream>>>(x, vy, kx0, kx1, kx0_padded);
+    }
+}
diff --git a/ggml-cuda/quantize.cuh b/ggml-cuda/quantize.cuh
index b37a4752f..486c9360a 100644
--- a/ggml-cuda/quantize.cuh
+++ b/ggml-cuda/quantize.cuh
@@ -1,5 +1,20 @@
+#pragma once
+
 #include "common.cuh"
+#include "mmq.cuh"
+
+#include <cstdint>
 
 #define CUDA_QUANTIZE_BLOCK_SIZE 256
 
-void quantize_row_q8_1_cuda(const float * x, void * vy, const int64_t kx, const int64_t ky, const int64_t kx_padded, cudaStream_t stream);
+typedef void (*quantize_cuda_t)(
+    const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels, const int64_t kx0_padded,
+    const ggml_type type_x, cudaStream_t stream);
+
+void quantize_row_q8_1_cuda(
+    const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels, const int64_t kx0_padded,
+    const ggml_type type_x, cudaStream_t stream);
+
+void quantize_mmq_q8_1_cuda(
+    const float * x, void * vy, const int64_t kx0, const int64_t kx1, const int64_t channels, const int64_t kx0_padded,
+    const ggml_type type_x, cudaStream_t stream);

From 3e2ee443159724e2d3a0741f6b167e599ec088aa Mon Sep 17 00:00:00 2001
From: mgroeber9110 <45620825+mgroeber9110@users.noreply.github.com>
Date: Sun, 9 Jun 2024 12:50:35 +0200
Subject: [PATCH 038/131] server: do not remove whitespace at the start of a
 completion chunk (#7830)

---
 examples/server/public/index-new.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/public/index-new.html b/examples/server/public/index-new.html
index d571c2779..19c9f643d 100644
--- a/examples/server/public/index-new.html
+++ b/examples/server/public/index-new.html
@@ -416,7 +416,7 @@
           message = html`<${Probabilities} data=${data} />`
         } else {
           const text = isArrayMessage ?
-            data.map(msg => msg.content).join('').replace(/^\s+/, '') :
+            data.map(msg => msg.content).join('') :
             data;
           message = isCompletionMode ?
             text :

From 57bf62ce7cb75cca589943e2050d29bff4026e76 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Nicol=C3=A1s=20P=C3=A9rez?= <nicolas_perez@brown.edu>
Date: Sun, 9 Jun 2024 11:24:29 -0400
Subject: [PATCH 039/131] docs: Added initial PR template with directions for
 doc only changes and squash merges [no ci] (#7700)

This commit adds pull_request_template.md and CONTRIBUTING.md . It focuses on explaining to contributors the need to rate PR complexity level, when to add [no ci] and how to format PR title and descriptions.

Co-authored-by: Brian <mofosyne@gmail.com>
Co-authored-by: compilade <git@compilade.net>
---
 .../PULL_REQUEST_TEMPLATE/pull_request_template.md |  5 +++++
 CONTRIBUTING.md                                    | 14 ++++++++++++++
 2 files changed, 19 insertions(+)
 create mode 100644 .github/PULL_REQUEST_TEMPLATE/pull_request_template.md
 create mode 100644 CONTRIBUTING.md

diff --git a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
new file mode 100644
index 000000000..0852fded5
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md
@@ -0,0 +1,5 @@
+- Self Reported Review Complexity:
+    - [ ] Review Complexity : Low
+    - [ ] Review Complexity : Medium
+    - [ ] Review Complexity : High
+- [ ] I have read the [contributing guidelines](CONTRIBUTING.md)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 000000000..991d85e49
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,14 @@
+# Contributing Guidelines
+
+## Checklist
+
+* Make sure your PR follows the [coding guidelines](https://github.com/ggerganov/llama.cpp/blob/master/README.md#coding-guidelines)
+* Test your changes using the commands in the [`tests`](tests) folder. For instance, running the `./tests/test-backend-ops` command tests different backend implementations of the GGML library
+* Execute [the full CI locally on your machine](ci/README.md) before publishing
+
+## PR formatting
+
+* Please rate the complexity of your PR (i.e. `Review Complexity : Low`, `Review Complexity : Medium`, `Review Complexity : High`). This makes it easier for maintainers to triage the PRs.
+    - The PR template has a series of review complexity checkboxes `[ ]` that you can mark as `[X]` for your conveience. Refer to [About task lists](https://docs.github.com/en/get-started/writing-on-github/working-with-advanced-formatting/about-task-lists) for more information.
+* If the pull request only contains documentation changes (e.g., updating READMEs, adding new wiki pages), please add `[no ci]` to the commit title. This will skip unnecessary CI checks and help reduce build times.
+* When squashing multiple commits on merge, use the following format for your commit title: `<module> : <commit title> (#<issue_number>)`. For example: `utils : Fix typo in utils.py (#1234)`

From e95beeb1fc4621826ddd616776dbdf717366bf5c Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Sun, 9 Jun 2024 20:19:35 +0300
Subject: [PATCH 040/131] imatrix : handle partial entries (#7833)

---
 examples/imatrix/imatrix.cpp | 58 +++++++++++++++++++++++++++++++-----
 1 file changed, 51 insertions(+), 7 deletions(-)

diff --git a/examples/imatrix/imatrix.cpp b/examples/imatrix/imatrix.cpp
index e18f49563..574f5ed9c 100644
--- a/examples/imatrix/imatrix.cpp
+++ b/examples/imatrix/imatrix.cpp
@@ -218,20 +218,64 @@ void IMatrixCollector::save_imatrix(int ncall) const {
         fname += std::to_string(ncall);
     }
 
+    // avoid writing imatrix entries that do not have full data
+    // this can happen with MoE models where some of the experts end up not being exercised by the provided training data
+
+    int n_entries = 0;
+    std::vector<std::string> to_store;
+
+    bool is_first = true; // for printing
+    for (const auto & kv : m_stats) {
+        const int n_all = kv.second.counts.size();
+
+        if (n_all == 0) {
+            continue;
+        }
+
+        int n_zeros = 0;
+        for (const int c : kv.second.counts) {
+            if (c == 0) {
+                n_zeros++;
+            }
+        }
+
+        if (n_zeros != 0 && is_first) {
+            fprintf(stderr, "\n");
+            is_first = false;
+        }
+
+        if (n_zeros == n_all) {
+            fprintf(stderr, "%s: entry '%40s' has no data - skipping\n", __func__, kv.first.c_str());
+            continue;
+        }
+
+        if (n_zeros > 0) {
+            fprintf(stderr, "%s: entry '%40s' has partial data (%.2f%%) - skipping\n", __func__, kv.first.c_str(), 100.0f * (n_all - n_zeros) / n_all);
+            continue;
+        }
+
+        n_entries++;
+        to_store.push_back(kv.first);
+    }
+
+    if (to_store.size() < m_stats.size()) {
+        fprintf(stderr, "%s: warning: storing only %zu out of %zu entries\n", __func__, to_store.size(), m_stats.size());
+    }
+
     std::ofstream out(fname, std::ios::binary);
-    int n_entries = m_stats.size();
     out.write((const char *) &n_entries, sizeof(n_entries));
-    for (const auto & p : m_stats) {
-        int len = p.first.size();
+    for (const auto & name : to_store) {
+        const auto & stat = m_stats.at(name);
+        int len = name.size();
         out.write((const char *) &len, sizeof(len));
-        out.write(p.first.c_str(), len);
-        out.write((const char *) &p.second.ncall, sizeof(p.second.ncall));
-        int nval = p.second.values.size();
+        out.write(name.c_str(), len);
+        out.write((const char *) &stat.ncall, sizeof(stat.ncall));
+        int nval = stat.values.size();
         out.write((const char *) &nval, sizeof(nval));
         if (nval > 0) {
             std::vector<float> tmp(nval);
             for (int i = 0; i < nval; i++) {
-                tmp[i] = (p.second.values[i] / static_cast<float>(p.second.counts[i])) * static_cast<float>(p.second.ncall);
+                tmp[i] = (stat.values[i] / static_cast<float>(stat.counts[i])) * static_cast<float>(stat.ncall);
             }
             out.write((const char*)tmp.data(), nval*sizeof(float));
         }

From 10ceba354a3b152ff425e9fa97f9caaef99a46b1 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Mon, 10 Jun 2024 02:04:50 +0300
Subject: [PATCH 041/131] flake.lock: Update (#7838)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Flake lock file updates:

• Updated input 'nixpkgs':
    'github:NixOS/nixpkgs/ad57eef4ef0659193044870c731987a6df5cf56b?narHash=sha256-SzDKxseEcHR5KzPXLwsemyTR/kaM9whxeiJohbL04rs%3D' (2024-05-29)
  → 'github:NixOS/nixpkgs/051f920625ab5aabe37c920346e3e69d7d34400e?narHash=sha256-4q0s6m0GUcN7q%2BY2DqD27iLvbcd1G50T2lv08kKxkSI%3D' (2024-06-07)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
---
 flake.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/flake.lock b/flake.lock
index 09047ab10..7272e65fa 100644
--- a/flake.lock
+++ b/flake.lock
@@ -20,11 +20,11 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1716948383,
-        "narHash": "sha256-SzDKxseEcHR5KzPXLwsemyTR/kaM9whxeiJohbL04rs=",
+        "lastModified": 1717786204,
+        "narHash": "sha256-4q0s6m0GUcN7q+Y2DqD27iLvbcd1G50T2lv08kKxkSI=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "ad57eef4ef0659193044870c731987a6df5cf56b",
+        "rev": "051f920625ab5aabe37c920346e3e69d7d34400e",
         "type": "github"
       },
       "original": {

From af4ae502ddaeb03cd5861273ca2e9a5ae4551db7 Mon Sep 17 00:00:00 2001
From: Ben Ashbaugh <ben.ashbaugh@intel.com>
Date: Mon, 10 Jun 2024 02:21:31 -0700
Subject: [PATCH 042/131] use the correct SYCL context for host USM allocations
 (#7777)

Signed-off-by: Ben Ashbaugh <ben.ashbaugh@intel.com>
---
 ggml-sycl.cpp | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 0a645b2e1..42fc0df20 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -13089,10 +13089,12 @@ void *ggml_sycl_host_malloc(size_t size) try {
         return nullptr;
     }
 
+    ggml_sycl_set_device(g_main_device);
+    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+
     void * ptr = nullptr;
-    //allow to use dpct::get_in_order_queue() for host malloc
     dpct::err0 err = CHECK_TRY_ERROR(
-        ptr = (void *)sycl::malloc_host(size, dpct::get_in_order_queue()));
+        ptr = (void *)sycl::malloc_host(size, *main_stream));
 
     if (err != 0) {
         // clear the error
@@ -13113,8 +13115,9 @@ catch (sycl::exception const &exc) {
 }
 
 void ggml_sycl_host_free(void *ptr) try {
-    //allow to use dpct::get_in_order_queue() for host malloc
-    SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, dpct::get_in_order_queue())));
+    ggml_sycl_set_device(g_main_device);
+    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *main_stream)));
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__

From 1f0dabda8d5c131f9d4632aa41de74317cdd61fb Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Mon, 10 Jun 2024 11:45:13 +0200
Subject: [PATCH 043/131] CUDA: use tensor cores for MMQ (#7676)

* CUDA: int8 tensor cores for MMQ (legacy quants)

* fix out-of-bounds writes

* __builtin_assume -> GGML_CUDA_ASSUME

* fix writeback returning too early
---
 ggml-cuda/common.cuh         |  21 +-
 ggml-cuda/fattn-common.cuh   |  20 +-
 ggml-cuda/fattn-tile-f16.cu  |   2 +-
 ggml-cuda/fattn-vec-f16.cuh  |   2 +-
 ggml-cuda/fattn-wmma-f16.cuh |   6 +-
 ggml-cuda/mma.cuh            |  95 ++++++++
 ggml-cuda/mmq.cuh            | 459 ++++++++++++++++++++++++++++++++---
 7 files changed, 550 insertions(+), 55 deletions(-)
 create mode 100644 ggml-cuda/mma.cuh

diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh
index 90a0a81ea..7f4764d60 100644
--- a/ggml-cuda/common.cuh
+++ b/ggml-cuda/common.cuh
@@ -139,6 +139,7 @@
 #define CC_PASCAL     600
 #define MIN_CC_DP4A   610 // minimum compute capability for __dp4a, an intrinsic for byte-wise dot products
 #define CC_VOLTA      700
+#define CC_TURING     750
 #define CC_AMPERE     800
 #define CC_OFFSET_AMD 1000000
 #define CC_RDNA1      (CC_OFFSET_AMD + 1010)
@@ -326,9 +327,17 @@ static __device__ __forceinline__ half2 __shfl_xor(half2 var, int laneMask, int
 #endif // defined(__HIP_PLATFORM_AMD__) && HIP_VERSION < 50600000
 #endif // defined(GGML_USE_HIPBLAS)
 
-#define FP16_AVAILABLE (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= CC_PASCAL
+#if (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= CC_PASCAL
+#define FP16_AVAILABLE
+#endif // (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= CC_PASCAL
 
-#define FP16_MMA_AVAILABLE !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_VOLTA
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_VOLTA
+#define FP16_MMA_AVAILABLE
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_VOLTA
+
+#if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_TURING
+#define INT8_MMA_AVAILABLE
+#endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_TURING
 
 static bool fast_fp16_available(const int cc) {
     return cc >= CC_PASCAL && cc != 610;
@@ -338,6 +347,10 @@ static bool fp16_mma_available(const int cc) {
     return cc < CC_OFFSET_AMD && cc >= CC_VOLTA;
 }
 
+static bool int8_mma_available(const int cc) {
+    return cc < CC_OFFSET_AMD && cc >= CC_TURING;
+}
+
 [[noreturn]]
 static __device__ void no_device_code(
     const char * file_name, const int line, const char * function_name, const int arch, const char * arch_list) {
@@ -379,7 +392,7 @@ static __device__ __forceinline__ float2 warp_reduce_sum(float2 a) {
 }
 
 static __device__ __forceinline__ half2 warp_reduce_sum(half2 a) {
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
 
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 #pragma unroll
@@ -412,7 +425,7 @@ static __device__ __forceinline__ float warp_reduce_max(float x) {
 }
 
 static __device__ __forceinline__ half ggml_cuda_hmax(const half a, const half b) {
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
 
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && CUDART_VERSION < CUDART_HMAX
     return __float2half(fmaxf(__half2float(a), __half2float(b)));
diff --git a/ggml-cuda/fattn-common.cuh b/ggml-cuda/fattn-common.cuh
index c00f8606a..37b3b9932 100644
--- a/ggml-cuda/fattn-common.cuh
+++ b/ggml-cuda/fattn-common.cuh
@@ -74,7 +74,7 @@ static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q4_0(
 
         const int sumi = __dp4a(v, u, 0);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
         if (std::is_same<T, half>::value) {
             const half2  * Q_ds = (const half2  *) Q_ds_v;
 
@@ -122,7 +122,7 @@ static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q4_1(
 
         const int sumi = __dp4a(v, u, 0);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
         if (std::is_same<T, half>::value) {
             const half2  * Q_ds = (const half2  *) Q_ds_v;
 
@@ -181,7 +181,7 @@ static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q5_0(
 
         const int sumi = __dp4a(v, u, 0);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
         if (std::is_same<T, half>::value) {
             const half2  * Q_ds = (const half2  *) Q_ds_v;
 
@@ -236,7 +236,7 @@ static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_q5_1(
 
         const int sumi = __dp4a(v, u, 0);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
         if (std::is_same<T, half>::value) {
             const half2  * Q_ds = (const half2  *) Q_ds_v;
 
@@ -314,7 +314,7 @@ static __device__ __forceinline__ T vec_dot_fattn_vec_KQ_f16(
     GGML_UNUSED(Q_q8);
     GGML_UNUSED(Q_ds_v);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         const half2 * Q_h2 = (const half2 *) Q_v;
 
@@ -407,7 +407,7 @@ static __device__ __forceinline__ T dequantize_1_q4_0(const void * __restrict__
     const int q0 = x[ib].qs[iqs];
     const int q  = ((q0 >> (4*shift)) & 0x0F) - 8;
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         return ((half) d)*((half) q);
     }
@@ -428,7 +428,7 @@ static __device__ __forceinline__ T dequantize_1_q4_1(const void * __restrict__
     const int   q0 = x[ib].qs[iqs];
     const int   q  = ((q0 >> (4*shift)) & 0x0F);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         return __low2half(dm)*((half) q) + __high2half(dm);
     }
@@ -453,7 +453,7 @@ static __device__ __forceinline__ T dequantize_1_q5_0(const void * __restrict__
     const int qh  = ((qh0 >> idq) << 4) & 0x10;
     const int q   = (ql | qh) - 16;
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         return ((half) d)*((half) q);
     }
@@ -478,7 +478,7 @@ static __device__ __forceinline__ T dequantize_1_q5_1(const void * __restrict__
     const int   qh  = ((qh0 >> idq) << 4) & 0x10;
     const int   q   = (ql | qh);
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         return __low2half(dm)*((half) q) + __high2half(dm);
     }
@@ -497,7 +497,7 @@ static __device__ __forceinline__ T dequantize_1_q8_0(const void * __restrict__
     const T   d = x[ib].d;
     const int q = x[ib].qs[iqs];
 
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     if (std::is_same<T, half>::value) {
         return ((half) d)*((half) q);
     }
diff --git a/ggml-cuda/fattn-tile-f16.cu b/ggml-cuda/fattn-tile-f16.cu
index cb11d7212..c6c35134d 100644
--- a/ggml-cuda/fattn-tile-f16.cu
+++ b/ggml-cuda/fattn-tile-f16.cu
@@ -43,7 +43,7 @@ static __global__ void flash_attn_tile_ext_f16(
         const int ne1,
         const int ne2,
         const int ne3) {
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
 
     const int ic0 = (blockIdx.x / parallel_blocks) * ncols; // Index of the Q/QKV column to work on.
diff --git a/ggml-cuda/fattn-vec-f16.cuh b/ggml-cuda/fattn-vec-f16.cuh
index 9e1aa2c6b..02a4ad072 100644
--- a/ggml-cuda/fattn-vec-f16.cuh
+++ b/ggml-cuda/fattn-vec-f16.cuh
@@ -40,7 +40,7 @@ static __global__ void flash_attn_vec_ext_f16(
         const int ne1,
         const int ne2,
         const int ne3) {
-#if FP16_AVAILABLE
+#ifdef FP16_AVAILABLE
     //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
 
     constexpr vec_dot_KQ_f16_t vec_dot_KQ = get_vec_dot_KQ_f16<D>(type_K);
diff --git a/ggml-cuda/fattn-wmma-f16.cuh b/ggml-cuda/fattn-wmma-f16.cuh
index 59cd30d78..ae2322242 100644
--- a/ggml-cuda/fattn-wmma-f16.cuh
+++ b/ggml-cuda/fattn-wmma-f16.cuh
@@ -1,9 +1,9 @@
 #include "common.cuh"
 #include "fattn-common.cuh"
 
-#if FP16_MMA_AVAILABLE
+#ifdef FP16_MMA_AVAILABLE
 #include <mma.h>
-#endif
+#endif // FP16_MMA_AVAILABLE
 
 // D == head size, VKQ_stride == num VKQ rows calculated in parallel:
 template<int D, int ncols, int nwarps, int VKQ_stride, int parallel_blocks, typename KQ_acc_t>
@@ -45,7 +45,7 @@ static __global__ void flash_attn_ext_f16(
         const int ne1,
         const int ne2,
         const int ne3) {
-#if FP16_MMA_AVAILABLE
+#ifdef FP16_MMA_AVAILABLE
     //In this kernel Q, K, V are matrices while i, j, k are matrix indices.
 
     const int ic0 = ncols*(blockIdx.x / parallel_blocks); // Index of the first Q/QKV column to work on.
diff --git a/ggml-cuda/mma.cuh b/ggml-cuda/mma.cuh
new file mode 100644
index 000000000..71e8e3429
--- /dev/null
+++ b/ggml-cuda/mma.cuh
@@ -0,0 +1,95 @@
+#include "common.cuh"
+
+struct mma_int_A_I16K8 {
+    static constexpr int I  = 16;
+    static constexpr int K  = 8;
+    static constexpr int ne = 4;
+
+    int x[ne] = {0};
+
+    static __device__ __forceinline__ int get_i(const int l) {
+        const int ret = (l%2) * (I/2) + threadIdx.x / (K/2);
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  I);
+        return ret;
+    }
+
+    static __device__ __forceinline__ int get_k(const int l) {
+        const int ret = (l/2) * (K/2) + threadIdx.x % (K/2);
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  K);
+        return ret;
+    }
+};
+
+struct mma_int_B_J8K8 {
+    static constexpr int J  = 8;
+    static constexpr int K  = 8;
+    static constexpr int ne = 2;
+
+    int x[ne] = {0};
+
+    static __device__ __forceinline__ int get_j(const int /* l */) {
+        const int ret = threadIdx.x / (K/2);
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  J);
+        return ret;
+    }
+
+    static __device__ __forceinline__ int get_k(const int l) {
+        const int ret = l * (K/2) + threadIdx.x % (K/2);
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  K);
+        return ret;
+    }
+};
+
+struct mma_int_C_I16J8 {
+    static constexpr int I  = 16;
+    static constexpr int J  = 8;
+    static constexpr int ne = 4;
+
+    int x[ne] = {0};
+
+    static __device__ __forceinline__ int get_i(const int l) {
+        const int ret = (l/2) * (I/2) + threadIdx.x / (J/2);
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  I);
+        return ret;
+    }
+
+    static __device__ __forceinline__ int get_j(const int l) {
+        const int ret = 2 * (threadIdx.x % (J/2)) + l%2;
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  J);
+        return ret;
+    }
+
+    __device__ __forceinline__ void mma_K8(const mma_int_A_I16K8 & mma_A, const mma_int_B_J8K8 & mma_B) {
+#ifdef INT8_MMA_AVAILABLE
+#if __CUDA_ARCH__ >= CC_AMPERE
+        asm("mma.sync.aligned.m16n8k32.row.col.s32.s8.s8.s32 {%0, %1, %2, %3}, {%4, %5, %6, %7}, {%8, %9}, {%0, %1, %2, %3};"
+            : "+r"(x[0]), "+r"(x[1]), "+r"(x[2]), "+r"(x[3])
+            : "r"(mma_A.x[0]), "r"(mma_A.x[1]), "r"(mma_A.x[2]), "r"(mma_A.x[3]), "r"(mma_B.x[0]), "r"(mma_B.x[1]));
+#else
+        // On Turing m16n8k32 mma is not available, use 4x m8n8k16 mma instead:
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[0]), "+r"(x[1])
+            : "r"(mma_A.x[0]), "r"(mma_B.x[0]));
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[2]), "+r"(x[3])
+            : "r"(mma_A.x[1]), "r"(mma_B.x[0]));
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[0]), "+r"(x[1])
+            : "r"(mma_A.x[2]), "r"(mma_B.x[1]));
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[2]), "+r"(x[3])
+            : "r"(mma_A.x[3]), "r"(mma_B.x[1]));
+#endif // __CUDA_ARCH__ >= CC_AMPERE
+#else
+        GGML_UNUSED(mma_A);
+        GGML_UNUSED(mma_B);
+        NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
+    }
+};
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 3ccae8a0c..62111f376 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -2,6 +2,7 @@
 
 #include "common.cuh"
 #include "vecdotq.cuh"
+#include "mma.cuh"
 
 #include <climits>
 #include <cstdint>
@@ -14,6 +15,7 @@ typedef void (*load_tiles_mmq_t)(
 typedef void (*vec_dot_mmq_t)(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0);
+typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1);
 
 struct block_q8_1_mmq {
     half2  ds[4];
@@ -141,15 +143,15 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
     GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
 
-    const float * x_dmf = (const float *) x_dm;
-    const int   * y_qs  = (const int   *) y + 4;
-    const half2 * y_ds  = (const half2 *) y;
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -170,12 +172,76 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mul_mat(
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
-                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_dmf[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
+                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_df[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
                 y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
+    mma_A A;
+    float dA[mma_C::ne/2];
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i     = i0 + mma_A::get_i(l);
+        const int k     = k0 + mma_A::get_k(l) % QI4_0;
+        const int shift =   4*(mma_A::get_k(l) / QI4_0);
+
+        A.x[l] = __vsubss4((x_ql[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F, 0x08080808);
+    }
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dA[l] = x_df[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0];
+    }
+
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C;
+        mma_B B;
+        half2 dsB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j =    j0 + mma_B::get_j(l);
+            const int k = (2*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dsB[l] = y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        C.mma_K8(A, B);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/B.J)*C.ne + l] += dA[l/2]*__low2float(dsB[l%2])*C.x[l];
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_1(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -215,7 +281,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -249,6 +315,70 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
+    mma_A A;
+    half2 dmA[mma_C::ne/2];
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i     = i0 + mma_A::get_i(l);
+        const int k     = k0 + mma_A::get_k(l) % QI4_0;
+        const int shift =   4*(mma_A::get_k(l) / QI4_0);
+
+        A.x[l] = (x_ql[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F;
+    }
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dmA[l] = x_dm[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0];
+    }
+
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C;
+        mma_B B;
+        half2 dsB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j =    j0 + mma_B::get_j(l);
+            const int k = (2*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dsB[l] = y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        C.mma_K8(A, B);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            const half2 dmA_dsB = dmA[l/2]*dsB[l%2];
+            sum[(j0/B.J)*C.ne + l] += __low2float(dmA_dsB)*C.x[l] + __high2float(dmA_dsB);
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_0(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -308,7 +438,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q5_0_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -343,6 +473,68 @@ static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
+
+    mma_A A;
+    float dA[mma_C::ne/2];
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i     =    i0 + mma_A::get_i(l);
+        const int k     = 2*(k0 + mma_A::get_k(l) % QI5_0) + mma_A::get_k(l) / QI5_0;
+
+        A.x[l] = x_ql[i*(2*WARP_SIZE + 1) + k];
+    }
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dA[l] = x_df[i*(WARP_SIZE/QI5_0) + i/QI5_0 + k0/QI5_0];
+    }
+
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C;
+        mma_B B;
+        float dB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j =    j0 + mma_B::get_j(l);
+            const int k = (2*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dB[l] = y_df[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        C.mma_K8(A, B);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/B.J)*C.ne + l] += dA[l/2]*dB[l%2]*C.x[l];
+        }
+    }
+}
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_1(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
@@ -400,7 +592,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q5_1_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -434,6 +626,69 @@ static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
+    mma_A A;
+    half2 dmA[mma_C::ne/2];
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i     =    i0 + mma_A::get_i(l);
+        const int k     = 2*(k0 + mma_A::get_k(l) % QI5_1) + mma_A::get_k(l) / QI5_1;
+
+        A.x[l] = x_ql[i*(2*WARP_SIZE + 1) + k];
+    }
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dmA[l] = x_dm[i*(WARP_SIZE/QI5_1) + i/QI5_1 + k0/QI5_1];
+    }
+
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C;
+        mma_B B;
+        half2 dsB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j =    j0 + mma_B::get_j(l);
+            const int k = (2*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dsB[l] = y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        C.mma_K8(A, B);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            const half2 dmA_dsB = dmA[l/2]*dsB[l%2];
+            sum[(j0/B.J)*C.ne + l] += __low2float(dmA_dsB)*C.x[l] + __high2float(dmA_dsB);
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q8_0(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -475,7 +730,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q8_0_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -500,6 +755,69 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
+
+    mma_A A;
+    float dA[mma_C::ne/2];
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i = i0 + mma_A::get_i(l);
+        const int k = k0 + mma_A::get_k(l);
+
+        A.x[l] = x_ql[i*(WARP_SIZE + 1) + k];
+    }
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dA[l] = x_df[i*(WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0];
+    }
+
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C;
+        mma_B B;
+        float dB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j = j0 + mma_B::get_j(l);
+            const int k = k0 + mma_B::get_k(l);
+
+            B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dB[l] = y_df[j*MMQ_TILE_Y_K + k0/QI8_1];
+        }
+
+        C.mma_K8(A, B);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/B.J)*C.ne + l] += C.x[l]*dA[l/2]*dB[l%2];
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q2_K(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -989,6 +1307,57 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
     }
 }
 
+template<int mmq_x, int mmq_y, int nwarps, bool need_check>
+static __device__ __forceinline__ void mmq_write_back_dp4a(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) {
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = blockIdx.y*mmq_x + j0 + threadIdx.y;
+
+        if (j >= ne1) {
+            return;
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = blockIdx.x*mmq_y + i0 + threadIdx.x;
+
+            if (need_check && i >= ne0) {
+                continue;
+            }
+
+            dst[j*ne0 + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
+        }
+    }
+}
+
+template<int mmq_x, int mmq_y, int nwarps, bool need_check>
+static __device__ __forceinline__ void mmq_write_back_mma(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) {
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int i0 = threadIdx.y*mma_C::I;
+    static_assert(nwarps*mma_C::I == mmq_y, "nwarps*mma_C::I != mmq_y");
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_C::J) {
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            const int j = blockIdx.y*mmq_x + j0 + mma_C::get_j(l);
+
+            if (j >= ne1) {
+                continue;
+            }
+
+            const int i = blockIdx.x*mmq_y + i0 + mma_C::get_i(l);
+
+            if (need_check && i >= ne0) {
+                continue;
+            }
+
+            dst[j*ne0 + i] = sum[(j0/mma_C::J)*mma_C::ne + l];
+        }
+    }
+}
+
 // -------------------------------------------------------------------------------------------------------------------------------------
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check, ggml_type type>
@@ -998,35 +1367,65 @@ template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_0> {
     static constexpr int              vdr        = VDR_Q4_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_0<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_1> {
     static constexpr int              vdr        = VDR_Q4_1_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_1<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_0> {
     static constexpr int              vdr        = VDR_Q5_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_0<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_1> {
     static constexpr int              vdr        = VDR_Q5_1_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_1<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q8_0> {
     static constexpr int              vdr        = VDR_Q8_0_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q8_0<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1034,6 +1433,7 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q2_K> {
     static constexpr int              vdr        = VDR_Q2_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q2_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q2_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1041,6 +1441,7 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q3_K> {
     static constexpr int              vdr        = VDR_Q3_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q3_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q3_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1048,6 +1449,7 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
     static constexpr int              vdr        = VDR_Q4_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1055,6 +1457,7 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
     static constexpr int              vdr        = VDR_Q5_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1062,6 +1465,7 @@ struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q6_K> {
     static constexpr int              vdr        = VDR_Q6_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q6_K<mmq_y, nwarps, need_check>;
     static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
 };
 
 static int mmq_need_sum(const ggml_type type_x) {
@@ -1118,6 +1522,7 @@ static __global__ void mul_mat_q(
     constexpr int              vdr        = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vdr;
     constexpr load_tiles_mmq_t load_tiles = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::load_tiles;
     constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot;
+    constexpr mmq_write_back_t write_back = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::write_back;
 
     constexpr tile_x_sizes txs = get_tile_x_sizes_device<mmq_y>(type);
 
@@ -1137,7 +1542,7 @@ static __global__ void mul_mat_q(
 
     const int * y = (const int *) yc + blockIdx.y*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int));
 
-    float sum[(mmq_x/nwarps) * (mmq_y/WARP_SIZE)] = {0.0f};
+    float sum[mmq_x*mmq_y / (nwarps*WARP_SIZE)] = {0.0f};
 
     for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) {
 
@@ -1164,25 +1569,7 @@ static __global__ void mul_mat_q(
         }
     }
 
-#pragma unroll
-    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
-        const int j = blockIdx.y*mmq_x + j0 + threadIdx.y;
-
-        if (j >= ne1) {
-            return;
-        }
-
-#pragma unroll
-        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
-            const int i = blockIdx.x*mmq_y + i0 + threadIdx.x;
-
-            if (need_check && i >= ne0) {
-                continue;
-            }
-
-            dst[j*ne0 + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
-        }
-    }
+    write_back(sum, dst, ne0, ne1);
 }
 
 struct mmq_args {
@@ -1256,10 +1643,10 @@ void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
             launch_mul_mat_q<type,   8, 4>(args, stream);
             break;
         case  16:
-            launch_mul_mat_q<type,  16, 8>(args, stream);
+            launch_mul_mat_q<type,  16, 4>(args, stream);
             break;
         case  24:
-            launch_mul_mat_q<type,  24, 8>(args, stream);
+            launch_mul_mat_q<type,  24, 4>(args, stream);
             break;
         case  32:
             launch_mul_mat_q<type,  32, 8>(args, stream);

From d9da0e4986f121c727bdd9579a6688097b11602c Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Mon, 10 Jun 2024 14:59:55 +0300
Subject: [PATCH 044/131] server : improve "prompt" handling (#7847)

---
 examples/server/server.cpp | 30 ++++++++++++++++--------------
 1 file changed, 16 insertions(+), 14 deletions(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 6ffaa8d9f..80714fa58 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -147,7 +147,7 @@ struct server_slot {
     int32_t n_prompt_tokens           = 0;
     int32_t n_prompt_tokens_processed = 0;
 
-    json prompt;
+    std::string prompt;
 
     // when a task is submitted, we first tokenize the prompt and store it here
     std::vector<llama_token> prompt_tokens;
@@ -822,13 +822,8 @@ struct server_context {
                     continue;
                 }
 
-                // skip the slot if it does not contains prompt
-                if (!slot.prompt.is_string()) {
-                    continue;
-                }
-
                 // current slot's prompt
-                std::string slot_prompt = slot.prompt.get<std::string>();
+                std::string slot_prompt = slot.prompt;
 
                 // length of the current slot's prompt
                 int slot_prompt_len = slot_prompt.size();
@@ -958,13 +953,16 @@ struct server_context {
         if (!task.infill) {
             const auto & prompt = data.find("prompt");
             if (prompt == data.end()) {
-                send_error(task, "Either \"prompt\" or \"messages\" must be provided", ERROR_TYPE_INVALID_REQUEST);
+                send_error(task, "\"prompt\" must be provided", ERROR_TYPE_INVALID_REQUEST);
                 return false;
-            } else {
-                slot.prompt = *prompt;
             }
-            if (slot.prompt.is_array() && slot.prompt.size() == 0) {
-                send_error(task, "\"prompt\" cannot be an empty array", ERROR_TYPE_INVALID_REQUEST);
+
+            if (prompt->is_string()) {
+                slot.prompt = prompt->get<std::string>();
+            } else if (prompt->is_array() && prompt->size() == 1 && prompt->at(0).is_string()) {
+                slot.prompt = prompt->at(0).get<std::string>();
+            } else {
+                send_error(task, "\"prompt\" must be a string or an array of strings", ERROR_TYPE_INVALID_REQUEST);
                 return false;
             }
         }
@@ -1582,14 +1580,18 @@ struct server_context {
         switch (task.type) {
             case SERVER_TASK_TYPE_COMPLETION:
                 {
-                    int id_slot        = json_value(task.data, "id_slot", -1);
-                    std::string prompt = json_value(task.data, "prompt", std::string());
+                    const int id_slot = json_value(task.data, "id_slot", -1);
 
                     server_slot * slot;
 
                     if (id_slot != -1) {
                         slot = get_slot_by_id(id_slot);
                     } else {
+                        std::string prompt;
+                        if (task.data.contains("prompt") && task.data.at("prompt").is_string()) {
+                            json_value(task.data, "prompt", std::string());
+                        }
+
                         slot = get_available_slot(prompt);
                     }
 

From c28a83902cf6ab6a9e085ad6d4cc2e95c4ccfe40 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Mon, 10 Jun 2024 15:00:15 +0300
Subject: [PATCH 045/131] examples : remove --instruct remnants (#7846)

---
 README.md              | 29 -----------------------------
 examples/alpaca.sh     | 19 -------------------
 examples/gpt4all.sh    | 15 ---------------
 examples/llama2-13b.sh | 18 ------------------
 examples/llama2.sh     | 18 ------------------
 5 files changed, 99 deletions(-)
 delete mode 100755 examples/alpaca.sh
 delete mode 100755 examples/gpt4all.sh
 delete mode 100755 examples/llama2-13b.sh
 delete mode 100755 examples/llama2.sh

diff --git a/README.md b/README.md
index 09e8cad31..ecb9d00db 100644
--- a/README.md
+++ b/README.md
@@ -53,7 +53,6 @@ Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others)
         <li><a href="#quantization">Quantization</a></li>
         <li><a href="#interactive-mode">Interactive mode</a></li>
         <li><a href="#constrained-output-with-grammars">Constrained output with grammars</a></li>
-        <li><a href="#instruct-mode">Instruct mode</a></li>
         <li><a href="#obtaining-and-using-the-facebook-llama-2-model">Obtaining and using the Facebook LLaMA 2 model</a></li>
         <li><a href="#seminal-papers-and-background-on-the-models">Seminal papers and background on the models</a></li>
         <li><a href="#perplexity-measuring-model-quality">Perplexity (measuring model quality)</a></li>
@@ -769,34 +768,6 @@ The `grammars/` folder contains a handful of sample grammars. To write your own,
 
 For authoring more complex JSON grammars, you can also check out https://grammar.intrinsiclabs.ai/, a browser app that lets you write TypeScript interfaces which it compiles to GBNF grammars that you can save for local use. Note that the app is built and maintained by members of the community, please file any issues or FRs on [its repo](http://github.com/intrinsiclabsai/gbnfgen) and not this one.
 
-### Instruct mode
-
-1. First, download and place the `ggml` model into the `./models` folder
-2. Run the `main` tool like this:
-
-```
-./examples/alpaca.sh
-```
-
-Sample run:
-
-```
-== Running in interactive mode. ==
- - Press Ctrl+C to interject at any time.
- - Press Return to return control to LLaMA.
- - If you want to submit another line, end your input in '\'.
-
- Below is an instruction that describes a task. Write a response that appropriately completes the request.
-
-> How many letters are there in the English alphabet?
-There 26 letters in the English Alphabet
-> What is the most common way of transportation in Amsterdam?
-The majority (54%) are using public transit. This includes buses, trams and metros with over 100 lines throughout the city which make it very accessible for tourists to navigate around town as well as locals who commute by tram or metro on a daily basis
-> List 5 words that start with "ca".
-cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
->
-```
-
 ### Obtaining and using the Facebook LLaMA 2 model
 
 - Refer to [Facebook's LLaMA download page](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) if you want to access the model data.
diff --git a/examples/alpaca.sh b/examples/alpaca.sh
deleted file mode 100755
index 8d2bae691..000000000
--- a/examples/alpaca.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/bash
-
-#
-# Temporary script - will be removed in the future
-#
-
-cd `dirname $0`
-cd ..
-
-./main -m ./models/alpaca.13b.ggmlv3.q8_0.bin \
-       --color \
-       -f ./prompts/alpaca.txt \
-       --ctx_size 2048 \
-       -n -1 \
-       -ins -b 256 \
-       --top_k 10000 \
-       --temp 0.2 \
-       --repeat_penalty 1.1 \
-       -t 7
diff --git a/examples/gpt4all.sh b/examples/gpt4all.sh
deleted file mode 100755
index 5fd739e55..000000000
--- a/examples/gpt4all.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-#!/bin/bash
-
-#
-# Temporary script - will be removed in the future
-#
-
-cd `dirname $0`
-cd ..
-
-./main --color --instruct --threads 4 \
-       --model ./models/gpt4all-7B/gpt4all-lora-quantized.bin \
-       --file ./prompts/alpaca.txt \
-       --batch_size 8 --ctx_size 2048 -n -1 \
-       --repeat_last_n 64 --repeat_penalty 1.3 \
-       --n_predict 128 --temp 0.1 --top_k 40 --top_p 0.95
diff --git a/examples/llama2-13b.sh b/examples/llama2-13b.sh
deleted file mode 100755
index 92b3f6dd8..000000000
--- a/examples/llama2-13b.sh
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash
-
-#
-# Temporary script - will be removed in the future
-#
-
-cd `dirname $0`
-cd ..
-
-./main -m models/available/Llama2/13B/llama-2-13b.ggmlv3.q4_0.bin \
-       --color \
-       --ctx_size 2048 \
-       -n -1 \
-       -ins -b 256 \
-       --top_k 10000 \
-       --temp 0.2 \
-       --repeat_penalty 1.1 \
-       -t 8
diff --git a/examples/llama2.sh b/examples/llama2.sh
deleted file mode 100755
index 221b37553..000000000
--- a/examples/llama2.sh
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash
-
-#
-# Temporary script - will be removed in the future
-#
-
-cd `dirname $0`
-cd ..
-
-./main -m models/available/Llama2/7B/llama-2-7b.ggmlv3.q4_0.bin \
-       --color \
-       --ctx_size 2048 \
-       -n -1 \
-       -ins -b 256 \
-       --top_k 10000 \
-       --temp 0.2 \
-       --repeat_penalty 1.1 \
-       -t 8

From fd5ea0f897ecb3659d6c269ef6f3d833e865ead7 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Mon, 10 Jun 2024 14:18:41 +0200
Subject: [PATCH 046/131] ci : try win-2019 on server windows test (#7854)

---
 .github/workflows/server.yml | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index 0789efd18..0d16ef5f1 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -16,11 +16,9 @@ on:
     branches:
       - master
     paths: ['.github/workflows/server.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'examples/server/**.*']
-  pull_request_target:
+  pull_request:
     types: [opened, synchronize, reopened]
     paths: ['.github/workflows/server.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m', 'examples/server/**.*']
-  schedule:
-    -  cron: '2 4 * * *'
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
@@ -115,7 +113,7 @@ jobs:
 
 
   server-windows:
-    runs-on: windows-latest
+    runs-on: windows-2019
 
     steps:
       - name: Clone

From 864a99e7a01d9422d2f55618dbe62c8099a2175c Mon Sep 17 00:00:00 2001
From: Jared Van Bortel <jared@nomic.ai>
Date: Mon, 10 Jun 2024 18:32:10 -0400
Subject: [PATCH 047/131] cmake : fix CMake requirement for CUDA (#7821)

---
 CMakeLists.txt | 31 +++++++++++++++----------------
 1 file changed, 15 insertions(+), 16 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index b1d6afbbc..8e280f87d 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -402,12 +402,26 @@ if (LLAMA_CUBLAS)
 endif()
 
 if (LLAMA_CUDA)
-    cmake_minimum_required(VERSION 3.17)
+    cmake_minimum_required(VERSION 3.18)  # for CMAKE_CUDA_ARCHITECTURES
 
     find_package(CUDAToolkit)
     if (CUDAToolkit_FOUND)
         message(STATUS "CUDA found")
 
+        if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
+            # 52 == lowest CUDA 12 standard
+            # 60 == f16 CUDA intrinsics
+            # 61 == integer CUDA intrinsics
+            # 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
+            if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16)
+                set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics
+            else()
+                set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
+                #set(CMAKE_CUDA_ARCHITECTURES "OFF") # use this to compile much faster, but only F16 models work
+            endif()
+        endif()
+        message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
+
         enable_language(CUDA)
 
         set(GGML_HEADERS_CUDA ggml-cuda.h)
@@ -472,21 +486,6 @@ if (LLAMA_CUDA)
         else()
             set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} CUDA::cuda_driver) # required by cuDeviceGetAttribute(), cuMemGetAllocationGranularity(...), ...
         endif()
-
-    if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
-        # 52 == lowest CUDA 12 standard
-        # 60 == f16 CUDA intrinsics
-        # 61 == integer CUDA intrinsics
-        # 70 == compute capability at which unrolling a loop in mul_mat_q kernels is faster
-        if (LLAMA_CUDA_F16 OR LLAMA_CUDA_DMMV_F16)
-            set(CMAKE_CUDA_ARCHITECTURES "60;61;70") # needed for f16 CUDA intrinsics
-        else()
-            set(CMAKE_CUDA_ARCHITECTURES "52;61;70") # lowest CUDA 12 standard + lowest for integer intrinsics
-            #set(CMAKE_CUDA_ARCHITECTURES "") # use this to compile much faster, but only F16 models work
-        endif()
-    endif()
-    message(STATUS "Using CUDA architectures: ${CMAKE_CUDA_ARCHITECTURES}")
-
     else()
         message(WARNING "CUDA not found")
     endif()

From 396b18dfec2c56846e80362db70af09b9e1d70ba Mon Sep 17 00:00:00 2001
From: Olivier Chafik <ochafik@users.noreply.github.com>
Date: Tue, 11 Jun 2024 01:00:30 +0100
Subject: [PATCH 048/131] `json`: document schema conversion in GBNF readme,
 align manual grammar examples & converters (#7841)

* json: fix char pattern in grammar converters

* json: prevent number precision & whitespace runaways in example grammars

* json: add doc to grammar readme
---
 common/json-schema-to-grammar.cpp             |  2 +-
 examples/json_schema_to_grammar.py            |  2 +-
 .../server/public/json-schema-to-grammar.mjs  |  2 +-
 grammars/README.md                            | 39 +++++++++++++++++++
 grammars/json.gbnf                            |  6 +--
 grammars/json_arr.gbnf                        |  6 +--
 tests/test-json-schema-to-grammar.cpp         | 38 +++++++++---------
 7 files changed, 67 insertions(+), 28 deletions(-)

diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 737bae27c..11221a32f 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -57,7 +57,7 @@ std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
     {"object", {"\"{\" space ( string \":\" space value (\",\" space string \":\" space value)* )? \"}\" space", {"string", "value"}}},
     {"array", {"\"[\" space ( value (\",\" space value)* )? \"]\" space", {"value"}}},
     {"uuid", {"\"\\\"\" [0-9a-fA-F]{8} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{12} \"\\\"\" space", {}}},
-    {"char",   {"[^\"\\\\] | \"\\\\\" ([\"\\\\/bfnrt] | \"u\" [0-9a-fA-F]{4})", {}}},
+    {"char",   {"[^\"\\\\\\x7F\\x00-\\x1F] | [\\\\] ([\"\\\\bfnrt] | \"u\" [0-9a-fA-F]{4})", {}}},
     {"string", {"\"\\\"\" char* \"\\\"\" space", {"char"}}},
     {"null", {"\"null\" space", {}}},
 };
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index 7d889c3fe..cd444d010 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -43,7 +43,7 @@ PRIMITIVE_RULES = {
     'object'       : BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
     'array'        : BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
     'uuid'         : BuiltinRule(r'"\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\"" space', []),
-    'char'         : BuiltinRule(r'[^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})', []),
+    'char'         : BuiltinRule(r'[^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})', []),
     'string'       : BuiltinRule(r'"\"" char* "\"" space', ['char']),
     'null'         : BuiltinRule('"null" space', []),
 }
diff --git a/examples/server/public/json-schema-to-grammar.mjs b/examples/server/public/json-schema-to-grammar.mjs
index cef11eab8..dc2468396 100644
--- a/examples/server/public/json-schema-to-grammar.mjs
+++ b/examples/server/public/json-schema-to-grammar.mjs
@@ -41,7 +41,7 @@ const PRIMITIVE_RULES = {
   object         : new BuiltinRule('"{" space ( string ":" space value ("," space string ":" space value)* )? "}" space', ['string', 'value']),
   array          : new BuiltinRule('"[" space ( value ("," space value)* )? "]" space', ['value']),
   uuid           : new BuiltinRule('"\\"" [0-9a-fA-F]{8} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{4} "-" [0-9a-fA-F]{12} "\\"" space', []),
-  char           : new BuiltinRule(`[^"\\\\] | "\\\\" (["\\\\/bfnrt] | "u" [0-9a-fA-F]{4})`, []),
+  char           : new BuiltinRule(`[^"\\\\\\x7F\\x00-\\x1F] | [\\\\] (["\\\\bfnrt] | "u" [0-9a-fA-F]{4})`, []),
   string         : new BuiltinRule(`"\\"" char* "\\"" space`, ['char']),
   null           : new BuiltinRule('"null" space', []),
 };
diff --git a/grammars/README.md b/grammars/README.md
index 3ffc7cec0..2ec21a4c0 100644
--- a/grammars/README.md
+++ b/grammars/README.md
@@ -94,6 +94,8 @@ This guide provides a brief overview. Check out the GBNF files in this directory
 ./main -m <model> --grammar-file grammars/some-grammar.gbnf -p 'Some prompt'
 ```
 
+`llama.cpp` can also convert JSON schemas to grammars either ahead of time or at each request, see below.
+
 ## Troubleshooting
 
 Grammars currently have performance gotchas (see https://github.com/ggerganov/llama.cpp/issues/4218).
@@ -103,3 +105,40 @@ Grammars currently have performance gotchas (see https://github.com/ggerganov/ll
 A common pattern is to allow repetitions of a pattern `x` up to N times.
 
 While semantically correct, the syntax `x? x? x?.... x?` (with N repetitions) may result in extremely slow sampling. Instead, you can write `x{0,N}` (or `(x (x (x ... (x)?...)?)?)?` w/ N-deep nesting in earlier llama.cpp versions).
+
+## Using GBNF grammars
+
+You can use GBNF grammars:
+
+- In the [server](../examples/server)'s completion endpoints, passed as the `grammar` body field
+- In the [main](../examples/main) CLI, passed as the `--grammar` & `--grammar-file` flags
+- With the [gbnf-validator](../examples/gbnf-validator) tool, to test them against strings.
+
+## JSON Schemas → GBNF
+
+`llama.cpp` supports converting a subset of https://json-schema.org/ to GBNF grammars:
+
+- In the [server](../examples/server):
+    - For any completion endpoints, passed as the `json_schema` body field
+    - For the `/chat/completions` endpoint, passed inside the `result_format` body field (e.g. `{"type", "json_object", "schema": {"items": {}}}`)
+- In the [main](../examples/main) CLI, passed as the `--json` / `-j` flag
+- To convert to a grammar ahead of time:
+    - in CLI, with [json_schema_to_grammar.py](../examples/json_schema_to_grammar.py)
+    - in JavaScript with [json-schema-to-grammar.mjs](../examples/server/public/json-schema-to-grammar.mjs) (this is used by the [server](../examples/server)'s Web UI)
+
+Take a look at [tests](../../tests/test-json-schema-to-grammar.cpp) to see which features are likely supported (you'll also find usage examples in https://github.com/ggerganov/llama.cpp/pull/5978, https://github.com/ggerganov/llama.cpp/pull/6659 & https://github.com/ggerganov/llama.cpp/pull/6555).
+
+Here is also a non-exhaustive list of **unsupported** features:
+
+- `additionalProperties`: to be fixed in https://github.com/ggerganov/llama.cpp/pull/7840
+- `minimum`, `exclusiveMinimum`, `maximum`, `exclusiveMaximum`
+    - `integer` constraints to be implemented in https://github.com/ggerganov/llama.cpp/pull/7797
+- Remote `$ref`s in the C++ version (Python & JavaScript versions fetch https refs)
+- Mixing `properties` w/ `anyOf` / `oneOf` in the same type (https://github.com/ggerganov/llama.cpp/issues/7703)
+- `string` formats `uri`, `email`
+- [`contains`](https://json-schema.org/draft/2020-12/json-schema-core#name-contains) / `minContains`
+- `uniqueItems`
+- `$anchor` (cf. [dereferencing](https://json-schema.org/draft/2020-12/json-schema-core#name-dereferencing))
+- [`not`](https://json-schema.org/draft/2020-12/json-schema-core#name-not)
+- [Conditionals](https://json-schema.org/draft/2020-12/json-schema-core#name-keywords-for-applying-subsche) `if` / `then` / `else` / `dependentSchemas`
+- [`patternProperties`](https://json-schema.org/draft/2020-12/json-schema-core#name-patternproperties)
diff --git a/grammars/json.gbnf b/grammars/json.gbnf
index a8a80752e..064a53f8a 100644
--- a/grammars/json.gbnf
+++ b/grammars/json.gbnf
@@ -16,10 +16,10 @@ array  ::=
 string ::=
   "\"" (
     [^"\\\x7F\x00-\x1F] |
-    "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
+    "\\" (["\\bfnrt] | "u" [0-9a-fA-F]{4}) # escapes
   )* "\"" ws
 
-number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
+number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [0-9] [1-9]{0,15})? ws
 
 # Optional space: by convention, applied in this grammar after literal chars when allowed
-ws ::= ([ \t\n] ws)?
+ws ::= [ \t\n]{0,20}
diff --git a/grammars/json_arr.gbnf b/grammars/json_arr.gbnf
index 31a3202f8..bd1312d96 100644
--- a/grammars/json_arr.gbnf
+++ b/grammars/json_arr.gbnf
@@ -25,10 +25,10 @@ array  ::=
 string ::=
   "\"" (
     [^"\\\x7F\x00-\x1F] |
-    "\\" (["\\/bfnrt] | "u" [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F] [0-9a-fA-F]) # escapes
+    "\\" (["\\bfnrt] | "u" [0-9a-fA-F]{4}) # escapes
   )* "\"" ws
 
-number ::= ("-"? ([0-9] | [1-9] [0-9]*)) ("." [0-9]+)? ([eE] [-+]? [0-9]+)? ws
+number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [1-9] [0-9]{0,15})? ws
 
 # Optional space: by convention, applied in this grammar after literal chars when allowed
-ws ::= ([ \t\n] ws)?
+ws ::= [ \t\n]{0,20}
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index 052c08073..bea876bd1 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -105,7 +105,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
@@ -152,7 +152,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "type": "string"
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char* "\"" space
             space ::= " "?
         )"""
@@ -166,7 +166,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "minLength": 1
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char+ "\"" space
             space ::= " "?
         )"""
@@ -180,7 +180,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "minLength": 3
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{3,} "\"" space
             space ::= " "?
         )"""
@@ -194,7 +194,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "maxLength": 3
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{0,3} "\"" space
             space ::= " "?
         )"""
@@ -209,7 +209,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "maxLength": 4
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{1,4} "\"" space
             space ::= " "?
         )"""
@@ -283,7 +283,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "prefixItems": [{ "type": "string" }]
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "[" space string "]" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -297,7 +297,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             "prefixItems": [{ "type": "string" }, { "type": "number" }]
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
@@ -466,7 +466,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space string
             b-kv ::= "\"b\"" space ":" space string
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space b-kv "," space c-kv "," space a-kv "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -486,7 +486,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             a-kv ::= "\"a\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv )? "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -510,7 +510,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             b-kv ::= "\"b\"" space ":" space string
             b-rest ::= ( "," space c-kv )?
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv a-rest | b-kv b-rest | c-kv )? "}" space
             space ::= " "?
             string ::= "\"" char* "\"" space
@@ -534,7 +534,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space string
             b-kv ::= "\"b\"" space ":" space string
             c-kv ::= "\"c\"" space ":" space string
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             d-kv ::= "\"d\"" space ":" space string
             d-rest ::= ( "," space c-kv )?
             root ::= "{" space b-kv "," space a-kv ( "," space ( d-kv d-rest | c-kv ) )? "}" space
@@ -554,7 +554,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             additional-kv ::= string ":" space additional-value
             additional-kvs ::= additional-kv ( "," space additional-kv )*
             additional-value ::= "[" space (number ("," space number)*)? "]" space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
@@ -574,7 +574,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
@@ -596,7 +596,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             array ::= "[" space ( value ("," space value)* )? "]" space
             boolean ::= ("true" | "false") space
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             null ::= "null" space
@@ -637,7 +637,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space number
             additional-kv ::= string ":" space string
             additional-kvs ::= additional-kv ( "," space additional-kv )*
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
@@ -662,7 +662,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-rest ::= additional-kvs
             additional-kv ::= string ":" space number
             additional-kvs ::= additional-kv ( "," space additional-kv )*
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
@@ -690,7 +690,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             additional-kvs ::= additional-kv ( "," space additional-kv )*
             b-kv ::= "\"b\"" space ":" space number
             b-rest ::= additional-kvs
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
@@ -721,7 +721,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             }
         })""",
         R"""(
-            char ::= [^"\\] | "\\" (["\\/bfnrt] | "u" [0-9a-fA-F]{4})
+            char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             foo ::= "{" space foo-a-kv "}" space
             foo-a-kv ::= "\"a\"" space ":" space string
             root ::= foo

From b61eb9644d64e90123ac805436d95b94b3b4cc3f Mon Sep 17 00:00:00 2001
From: Olivier Chafik <ochafik@users.noreply.github.com>
Date: Tue, 11 Jun 2024 02:22:57 +0100
Subject: [PATCH 049/131] json: refine constraint for whitespace to avoid
 runaways yet allow pretty print (#7866)

---
 common/json-schema-to-grammar.cpp             |  2 +-
 examples/json_schema_to_grammar.py            |  5 +-
 .../server/public/json-schema-to-grammar.mjs  |  2 +-
 grammars/json.gbnf                            |  2 +-
 grammars/json_arr.gbnf                        |  2 +-
 tests/test-json-schema-to-grammar.cpp         | 76 +++++++++----------
 6 files changed, 44 insertions(+), 45 deletions(-)

diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 11221a32f..10b9b3d1d 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -40,7 +40,7 @@ static std::string build_repetition(const std::string & item_rule, int min_items
     return result;
 }
 
-const std::string SPACE_RULE = "\" \"?";
+const std::string SPACE_RULE = "| \" \" | \"\\n\" [ \\t]{0,20}";
 
 struct BuiltinRule {
     std::string content;
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index cd444d010..ab19e20df 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -29,9 +29,8 @@ class BuiltinRule:
         self.content = content
         self.deps = deps or []
 
-# whitespace is constrained to a single space char to prevent model "running away" in
-# whitespace. Also maybe improves generation quality?
-SPACE_RULE = '" "?'
+# Constraining spaces to prevent model "running away".
+SPACE_RULE = '| " " | "\\n" [ \\t]{0,20}'
 
 PRIMITIVE_RULES = {
     'boolean'      : BuiltinRule('("true" | "false") space', []),
diff --git a/examples/server/public/json-schema-to-grammar.mjs b/examples/server/public/json-schema-to-grammar.mjs
index dc2468396..faed6a32c 100644
--- a/examples/server/public/json-schema-to-grammar.mjs
+++ b/examples/server/public/json-schema-to-grammar.mjs
@@ -1,5 +1,5 @@
 // WARNING: This file was ported from json_schema_to_grammar.py, please fix bugs / add features there first.
-const SPACE_RULE = '" "?';
+const SPACE_RULE = '| " " | "\\n" [ \\t]{0,20}';
 
 function _buildRepetition(itemRule, minItems, maxItems, opts={}) {
   if (minItems === 0 && maxItems === 1) {
diff --git a/grammars/json.gbnf b/grammars/json.gbnf
index 064a53f8a..b6448c87b 100644
--- a/grammars/json.gbnf
+++ b/grammars/json.gbnf
@@ -22,4 +22,4 @@ string ::=
 number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [0-9] [1-9]{0,15})? ws
 
 # Optional space: by convention, applied in this grammar after literal chars when allowed
-ws ::= [ \t\n]{0,20}
+ws ::= | " " | "\n" [ \t]{0,20}
diff --git a/grammars/json_arr.gbnf b/grammars/json_arr.gbnf
index bd1312d96..b3dc6f9b1 100644
--- a/grammars/json_arr.gbnf
+++ b/grammars/json_arr.gbnf
@@ -31,4 +31,4 @@ string ::=
 number ::= ("-"? ([0-9] | [1-9] [0-9]{0,15})) ("." [0-9]+)? ([eE] [-+]? [1-9] [0-9]{0,15})? ws
 
 # Optional space: by convention, applied in this grammar after literal chars when allowed
-ws ::= [ \t\n]{0,20}
+ws ::= | " " | "\n" [ \t]{0,20}
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index bea876bd1..a33104dea 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -112,7 +112,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
             root ::= object
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
             value ::= object | array | string | number | boolean | null
         )"""
@@ -135,7 +135,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             date-time ::= date "T" time
             date-time-string ::= "\"" date-time "\"" space
             root ::= "[" space tuple-0 "," space uuid "," space tuple-2 "," space tuple-3 "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             time ::= ([01] [0-9] | "2" [0-3]) ":" [0-5] [0-9] ":" [0-5] [0-9] ( "." [0-9]{3} )? ( "Z" | ( "+" | "-" ) ( [01] [0-9] | "2" [0-3] ) ":" [0-5] [0-9] )
             time-string ::= "\"" time "\"" space
             tuple-0 ::= date-string
@@ -154,7 +154,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char* "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -168,7 +168,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char+ "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -182,7 +182,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{3,} "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -196,7 +196,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{0,3} "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -211,7 +211,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "\"" char{1,4} "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -223,7 +223,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= ("true" | "false") space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -236,7 +236,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             root ::= ("-"? integral-part) space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -248,7 +248,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "\"foo\""
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -260,7 +260,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "123"
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -272,7 +272,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "\"red\"" | "\"amber\"" | "\"green\"" | "null" | "42" | "[\"foo\"]"
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -285,7 +285,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "[" space string "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -302,7 +302,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "[" space string "," space number "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -317,7 +317,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             decimal-part ::= [0-9]{1,16}
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             root ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -333,7 +333,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             boolean ::= ("true" | "false") space
             root ::= "[" space boolean ("," space boolean)+ "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -349,7 +349,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             boolean ::= ("true" | "false") space
             root ::= "[" space boolean? "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -365,7 +365,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         R"""(
             boolean ::= ("true" | "false") space
             root ::= "[" space (boolean ("," space boolean)?)? "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -386,7 +386,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             item ::= number | integer
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "[" space item ("," space item){2,4} "]" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -399,7 +399,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "\"" "ab" "c"? "d"* "ef" "g"+ ("hij")? "kl" "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -412,7 +412,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "\"" "[]{}()|+*?" "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -425,7 +425,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "\"" "\"" "\"" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -440,7 +440,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             dot ::= [^\x0A\x0D]
             root ::= "\"" ("(" root-1{1,3} ")")? root-1{3,3} "-" root-1{4,4} " " "a"{3,5} "nd" dot dot dot "\"" space
             root-1 ::= [0-9]
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -468,7 +468,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             c-kv ::= "\"c\"" space ":" space string
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space b-kv "," space c-kv "," space a-kv "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -488,7 +488,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             a-kv ::= "\"a\"" space ":" space string
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -512,7 +512,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             c-kv ::= "\"c\"" space ":" space string
             char ::= [^"\\\x7F\x00-\x1F] | [\\] (["\\bfnrt] | "u" [0-9a-fA-F]{4})
             root ::= "{" space  (a-kv a-rest | b-kv b-rest | c-kv )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -538,7 +538,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             d-kv ::= "\"d\"" space ":" space string
             d-rest ::= ( "," space c-kv )?
             root ::= "{" space b-kv "," space a-kv ( "," space ( d-kv d-rest | c-kv ) )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -559,7 +559,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space  (additional-kvs )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -581,7 +581,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
             root ::= object
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
             value ::= object | array | string | number | boolean | null
         )"""
@@ -603,7 +603,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             object ::= "{" space ( string ":" space value ("," space string ":" space value)* )? "}" space
             root ::= object
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
             value ::= object | array | string | number | boolean | null
         )"""
@@ -618,7 +618,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
         })""",
         R"""(
             root ::= "{" space  "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -642,7 +642,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv ( "," space ( additional-kvs ) )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -667,7 +667,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space  (a-kv a-rest | additional-kvs )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -695,7 +695,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv ( "," space ( b-kv b-rest | additional-kvs ) )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -725,7 +725,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             foo ::= "{" space foo-a-kv "}" space
             foo-a-kv ::= "\"a\"" space ":" space string
             root ::= foo
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
             string ::= "\"" char* "\"" space
         )"""
     });
@@ -759,7 +759,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= alternative-0 | alternative-1
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -803,7 +803,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             integral-part ::= [0] | [1-9] [0-9]{0,15}
             number ::= ("-"? integral-part) ("." decimal-part)? ([eE] [-+]? integral-part)? space
             root ::= "{" space a-kv "," space b-kv ( "," space ( d-kv d-rest | c-kv ) )? "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 
@@ -851,7 +851,7 @@ static void test_all(const std::string & lang, std::function<void(const TestCase
             number-number-kv ::= "\"number\"" space ":" space number-number
             number-number-root-kv ::= "\"root\"" space ":" space number
             root ::= "{" space number-kv "}" space
-            space ::= " "?
+            space ::= | " " | "\n" [ \t]{0,20}
         )"""
     });
 }

From c2ce6c47e4f2d891bf29d8810832a3b310a8f205 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Tue, 11 Jun 2024 07:59:20 +0200
Subject: [PATCH 050/131] fix CUDA CI by using a windows-2019 image (#7861)

* try to fix CUDA ci with --allow-unsupported-compiler

* trigger when build.yml changes

* another test

* try exllama/bdashore3 method

* install vs build tools before cuda toolkit

* try win-2019
---
 .github/workflows/build.yml | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 93669d531..3c04cfc29 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -13,7 +13,7 @@ on:
     paths: ['.github/workflows/**', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m']
   pull_request:
     types: [opened, synchronize, reopened]
-    paths: ['**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.swift', '**/*.m']
+    paths: ['.github/workflows/build.yml', '**/CMakeLists.txt', '**/Makefile', '**/*.h', '**/*.hpp', '**/*.c', '**/*.cpp', '**/*.cu', '**/*.cuh', '**/*.swift', '**/*.m']
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
@@ -684,7 +684,7 @@ jobs:
             cmake --build build --config ${{ matrix.build }} -j $(nproc)
 
   windows-latest-cmake:
-    runs-on: windows-latest
+    runs-on: windows-2019
 
     env:
       OPENBLAS_VERSION: 0.3.23
@@ -829,7 +829,7 @@ jobs:
           name: llama-bin-win-${{ matrix.build }}.zip
 
   windows-latest-cmake-cuda:
-    runs-on: windows-latest
+    runs-on: windows-2019
 
     strategy:
       matrix:
@@ -843,8 +843,9 @@ jobs:
         with:
           fetch-depth: 0
 
-      - uses: Jimver/cuda-toolkit@v0.2.11
+      - name: Install CUDA toolkit
         id: cuda-toolkit
+        uses: Jimver/cuda-toolkit@v0.2.15
         with:
           cuda: ${{ matrix.cuda }}
           method: 'network'

From bdcb8f42221bc40c411150a009a3d3a30fa74722 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Tue, 11 Jun 2024 08:26:07 +0200
Subject: [PATCH 051/131] CUDA: int8 tensor cores for MMQ (q4_K, q5_K, q6_K)
 (#7860)

---
 ggml-cuda/mma.cuh |  66 ++++++++++
 ggml-cuda/mmq.cuh | 300 +++++++++++++++++++++++++++++++++++++++++++++-
 2 files changed, 360 insertions(+), 6 deletions(-)

diff --git a/ggml-cuda/mma.cuh b/ggml-cuda/mma.cuh
index 71e8e3429..63e07fbc2 100644
--- a/ggml-cuda/mma.cuh
+++ b/ggml-cuda/mma.cuh
@@ -1,5 +1,27 @@
 #include "common.cuh"
 
+struct mma_int_A_I16K4 {
+    static constexpr int I  = 16;
+    static constexpr int K  = 4;
+    static constexpr int ne = 2;
+
+    int x[ne] = {0};
+
+    static __device__ __forceinline__ int get_i(const int l) {
+        const int ret = (l%2) * (I/2) + threadIdx.x / K;
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  I);
+        return ret;
+    }
+
+    static __device__ __forceinline__ int get_k(const int /* l */) {
+        const int ret = threadIdx.x % K;
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  K);
+        return ret;
+    }
+};
+
 struct mma_int_A_I16K8 {
     static constexpr int I  = 16;
     static constexpr int K  = 8;
@@ -22,6 +44,28 @@ struct mma_int_A_I16K8 {
     }
 };
 
+struct mma_int_B_J8K4 {
+    static constexpr int J  = 8;
+    static constexpr int K  = 4;
+    static constexpr int ne = 1;
+
+    int x[ne] = {0};
+
+    static __device__ __forceinline__ int get_j(const int /* l */) {
+        const int ret = threadIdx.x / K;
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  J);
+        return ret;
+    }
+
+    static __device__ __forceinline__ int get_k(const int /* l */) {
+        const int ret = threadIdx.x % K;
+        GGML_CUDA_ASSUME(ret >= 0);
+        GGML_CUDA_ASSUME(ret <  K);
+        return ret;
+    }
+};
+
 struct mma_int_B_J8K8 {
     static constexpr int J  = 8;
     static constexpr int K  = 8;
@@ -65,6 +109,28 @@ struct mma_int_C_I16J8 {
         return ret;
     }
 
+    __device__ __forceinline__ void mma_K4(const mma_int_A_I16K4 & mma_A, const mma_int_B_J8K4 & mma_B) {
+#ifdef INT8_MMA_AVAILABLE
+#if __CUDA_ARCH__ >= CC_AMPERE
+        asm("mma.sync.aligned.m16n8k16.row.col.s32.s8.s8.s32 {%0, %1, %2, %3}, {%4, %5}, {%6}, {%0, %1, %2, %3};"
+            : "+r"(x[0]), "+r"(x[1]), "+r"(x[2]), "+r"(x[3])
+            : "r"(mma_A.x[0]), "r"(mma_A.x[1]), "r"(mma_B.x[0]));
+#else
+        // On Turing m16n8k16 mma is not available, use 2x m8n8k16 mma instead:
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[0]), "+r"(x[1])
+            : "r"(mma_A.x[0]), "r"(mma_B.x[0]));
+        asm("mma.sync.aligned.m8n8k16.row.col.s32.s8.s8.s32 {%0, %1}, {%2}, {%3}, {%0, %1};"
+            : "+r"(x[2]), "+r"(x[3])
+            : "r"(mma_A.x[1]), "r"(mma_B.x[0]));
+#endif // __CUDA_ARCH__ >= CC_AMPERE
+#else
+        GGML_UNUSED(mma_A);
+        GGML_UNUSED(mma_B);
+        NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
+    }
+
     __device__ __forceinline__ void mma_K8(const mma_int_A_I16K8 & mma_A, const mma_int_B_J8K8 & mma_B) {
 #ifdef INT8_MMA_AVAILABLE
 #if __CUDA_ARCH__ >= CC_AMPERE
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 62111f376..01e2086b4 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -1089,7 +1089,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q4_K_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -1115,6 +1115,97 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+    mma_A   A[2];
+    int   scA[mma_C::ne/2][2];
+    int    mA[mma_C::ne/2][2];
+    half2 dmA[mma_C::ne/2];
+#pragma unroll
+    for (int kvdr = 0; kvdr < VDR_Q4_K_Q8_1_MMQ; kvdr += 4) {
+#pragma unroll
+        for (int l = 0; l < mma_A::ne; ++l) {
+            const int i = i0 + mma_A::get_i(l);
+            const int k = k0 + mma_A::get_k(l);
+
+            A[kvdr/4].x[l] = (x_ql[i*(WARP_SIZE + 1) + k] >> kvdr) & 0x0F0F0F0F;
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int i = i0 + mma_C::get_i(2*l);
+
+            const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2 * ((k0 % 16) / 8);
+            const uint8_t *  m = sc + 8;
+
+            scA[l][kvdr/4] = sc[kvdr/4];
+            mA[l][kvdr/4]  =  m[kvdr/4];
+        }
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dmA[l] = x_dm[i*(WARP_SIZE/QI5_K) + i/QI5_K + k0/QI5_K];
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        float tmpd[mma_C::ne] = {0.0f};
+        float tmpm[mma_C::ne] = {0.0f};
+
+#pragma unroll
+        for (int kvdr = 0; kvdr < VDR_Q5_K_Q8_1_MMQ; kvdr += 4) {
+            mma_C   C;
+            mma_B   B;
+            half2 dsB[mma_C::ne/2];
+
+#pragma unroll
+            for (int l = 0; l < mma_B::ne; ++l) {
+                const int j = j0 + mma_B::get_j(l);
+                const int k = (2*k0 + 2*kvdr + mma_B::get_k(l)) % WARP_SIZE;
+
+                B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+            }
+#pragma unroll
+            for (int l = 0; l < mma_C::ne/2; ++l) {
+                const int j = j0 + mma_C::get_j(l);
+
+                dsB[l] = y_ds[j*MMQ_TILE_Y_K + ((2*k0 + 2*kvdr)/QI8_1) % (WARP_SIZE/QI8_1)];
+            }
+
+            C.mma_K8(A[kvdr/4], B);
+
+#pragma unroll
+            for (int l = 0; l < mma_C::ne; ++l) {
+                tmpd[l] += (C.x[l]*scA[l/2][kvdr/4]) *  __low2float(dsB[l%2]);
+                tmpm[l] += mA[l/2][kvdr/4]           * __high2float(dsB[l%2]);
+            }
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/mma_B::J)*mma_C::ne + l] += __low2float(dmA[l/2])*tmpd[l] - __high2float(dmA[l/2])*tmpm[l];
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_K(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -1188,7 +1279,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q5_K_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -1214,6 +1305,97 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K8 mma_A;
+    typedef mma_int_B_J8K8  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int   * y_qs = (const int   *) y + 4;
+    const half2 * y_ds = (const half2 *) y;
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+    mma_A   A[2];
+    int   scA[mma_C::ne/2][2];
+    int    mA[mma_C::ne/2][2];
+    half2 dmA[mma_C::ne/2];
+#pragma unroll
+    for (int kvdr = 0; kvdr < VDR_Q5_K_Q8_1_MMQ; kvdr += 4) {
+#pragma unroll
+        for (int l = 0; l < mma_A::ne; ++l) {
+            const int i = i0 + mma_A::get_i(l);
+            const int k = QR5_K*k0 + QR5_K*kvdr + mma_A::get_k(l);
+
+            A[kvdr/4].x[l] = x_ql[i*(QR5_K*WARP_SIZE + 1) + k];
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int i = i0 + mma_C::get_i(2*l);
+
+            const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2 * ((k0 % 16) / 8);
+            const uint8_t *  m = sc + 8;
+
+            scA[l][kvdr/4] = sc[kvdr/4];
+            mA[l][kvdr/4]  =  m[kvdr/4];
+        }
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dmA[l] = x_dm[i*(WARP_SIZE/QI5_K) + i/QI5_K + k0/QI5_K];
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        float tmpd[mma_C::ne] = {0.0f};
+        float tmpm[mma_C::ne] = {0.0f};
+
+#pragma unroll
+        for (int kvdr = 0; kvdr < VDR_Q5_K_Q8_1_MMQ; kvdr += 4) {
+            mma_C   C;
+            mma_B   B;
+            half2 dsB[mma_C::ne/2];
+
+#pragma unroll
+            for (int l = 0; l < mma_B::ne; ++l) {
+                const int j = j0 + mma_B::get_j(l);
+                const int k = (2*k0 + 2*kvdr + mma_B::get_k(l)) % WARP_SIZE;
+
+                B.x[l] = y_qs[j*MMQ_TILE_Y_K + k];
+            }
+#pragma unroll
+            for (int l = 0; l < mma_C::ne/2; ++l) {
+                const int j = j0 + mma_C::get_j(l);
+
+                dsB[l] = y_ds[j*MMQ_TILE_Y_K + ((2*k0 + 2*kvdr)/QI8_1) % (WARP_SIZE/QI8_1)];
+            }
+
+            C.mma_K8(A[kvdr/4], B);
+
+#pragma unroll
+            for (int l = 0; l < mma_C::ne; ++l) {
+                tmpd[l] += (C.x[l]*scA[l/2][kvdr/4]) *  __low2float(dsB[l%2]);
+                tmpm[l] += mA[l/2][kvdr/4]           * __high2float(dsB[l%2]);
+            }
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/mma_B::J)*mma_C::ne + l] += __low2float(dmA[l/2])*tmpd[l] - __high2float(dmA[l/2])*tmpm[l];
+        }
+    }
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q6_K(
     const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
@@ -1280,7 +1462,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
+static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
     const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
@@ -1307,6 +1489,97 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mul_mat(
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
+    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+
+    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+
+    typedef mma_int_A_I16K4 mma_A;
+    typedef mma_int_B_J8K4  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+    mma_A   A[4];
+    int   scA[mma_C::ne/2][4];
+    float  dA[mma_C::ne/2];
+#pragma unroll
+    for (int kvdr = 0; kvdr < VDR_Q6_K_Q8_1_MMQ; kvdr += 4) {
+#pragma unroll
+        for (int l = 0; l < mma_A::ne; ++l) {
+            const int i = i0 + mma_A::get_i(l);
+            const int k = QR6_K*k0 + QR6_K*kvdr + mma_A::get_k(l);
+
+            A[kvdr/2 + 0].x[l] = x_ql[i*(QR6_K*WARP_SIZE + 1) + k + 0];
+            A[kvdr/2 + 1].x[l] = x_ql[i*(QR6_K*WARP_SIZE + 1) + k + mma_A::K];
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int i = i0 + mma_C::get_i(2*l);
+
+            const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/8]);
+
+            scA[l][kvdr/2 + 0] = sc[kvdr/2 + 0];
+            scA[l][kvdr/2 + 1] = sc[kvdr/2 + 1];
+        }
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dA[l] = x_df[i*(WARP_SIZE/QI6_K) + i/QI6_K + k0/QI6_K];
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        float tmp[mma_C::ne] = {0.0f};
+
+#pragma unroll
+        for (int kvdr = 0; kvdr < VDR_Q6_K_Q8_1_MMQ; kvdr += 4) {
+            mma_C C[2];
+            mma_B B[2];
+            float dB[mma_C::ne/2];
+
+#pragma unroll
+            for (int l = 0; l < mma_B::ne; ++l) {
+                const int j = j0 + mma_B::get_j(l);
+                const int k = (2*k0 + 2*kvdr + mma_B::get_k(l)) % WARP_SIZE;
+
+                B[0].x[l] = y_qs[j*MMQ_TILE_Y_K + k + 0];
+                B[1].x[l] = y_qs[j*MMQ_TILE_Y_K + k + mma_B::K];
+            }
+#pragma unroll
+            for (int l = 0; l < mma_C::ne/2; ++l) {
+                const int j = j0 + mma_C::get_j(l);
+
+                dB[l] = y_df[j*MMQ_TILE_Y_K + ((2*k0 + 2*kvdr)/QI8_1) % (WARP_SIZE/QI8_1)];
+            }
+
+            C[0].mma_K4(A[kvdr/2 + 0], B[0]);
+            C[1].mma_K4(A[kvdr/2 + 1], B[1]);
+
+#pragma unroll
+            for (int l = 0; l < mma_C::ne; ++l) {
+                tmp[l] += (C[0].x[l]*scA[l/2][kvdr/2 + 0] + C[1].x[l]*scA[l/2][kvdr/2 + 1])*dB[l%2];
+            }
+        }
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/mma_B::J)*mma_C::ne + l] += tmp[l]*dA[l/2];
+        }
+    }
+}
+
 template<int mmq_x, int mmq_y, int nwarps, bool need_check>
 static __device__ __forceinline__ void mmq_write_back_dp4a(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) {
 #pragma unroll
@@ -1448,24 +1721,39 @@ template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
     static constexpr int              vdr        = VDR_Q4_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_K<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
     static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
     static constexpr int              vdr        = VDR_Q5_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_K<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
     static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q6_K> {
     static constexpr int              vdr        = VDR_Q6_K_Q8_1_MMQ;
     static constexpr load_tiles_mmq_t load_tiles = load_tiles_q6_K<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
+#ifdef INT8_MMA_AVAILABLE
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
     static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 };
 
 static int mmq_need_sum(const ggml_type type_x) {

From 4bfe50f741479c1df1c377260c3ff5702586719e Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 11 Jun 2024 10:10:20 +0300
Subject: [PATCH 052/131] tests : check the Python version (#7872)

ggml-ci
---
 tests/test-json-schema-to-grammar.cpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index a33104dea..87bc66b69 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -870,7 +870,7 @@ int main() {
         }
     });
 
-    if (getenv("LLAMA_PYTHON_AVAILABLE") || (std::system("python --version") == 0)) {
+    if (getenv("LLAMA_PYTHON_AVAILABLE") || (std::system("python -c \"import sys; exit(1) if sys.version_info < (3, 8) else print('Python version is sufficient')\"") == 0)) {
         test_all("Python", [](const TestCase & tc) {
             write("test-json-schema-input.tmp", tc.schema);
             tc.verify_status(std::system(
@@ -878,7 +878,7 @@ int main() {
             tc.verify(read("test-grammar-output.tmp"));
         });
     } else {
-        fprintf(stderr, "\033[33mWARNING: Python not found, skipping Python JSON schema -> grammar tests.\n\033[0m");
+        fprintf(stderr, "\033[33mWARNING: Python not found (min version required is 3.8), skipping Python JSON schema -> grammar tests.\n\033[0m");
     }
 
     if (getenv("LLAMA_NODE_AVAILABLE") || (std::system("node --version") == 0)) {

From 148995e5e57b313cce2672f75610db58c6327a51 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Tue, 11 Jun 2024 14:45:40 +0200
Subject: [PATCH 053/131] llama-bench: more compact markdown tables (#7879)

---
 examples/llama-bench/llama-bench.cpp | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index 5c31548a6..61f5a5a09 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -1033,6 +1033,27 @@ struct markdown_printer : public printer {
         if (field == "n_gpu_layers") {
             return 3;
         }
+        if (field == "n_threads") {
+            return 7;
+        }
+        if (field == "n_batch") {
+            return 7;
+        }
+        if (field == "n_ubatch") {
+            return 8;
+        }
+        if (field == "type_k" || field == "type_v") {
+            return 6;
+        }
+        if (field == "split_mode") {
+            return 5;
+        }
+        if (field == "flash_attn") {
+            return 2;
+        }
+        if (field == "use_mmap") {
+            return 4;
+        }
         if (field == "test") {
             return 13;
         }

From 6fe42d073f0554eada93ac9d40574025aeedb703 Mon Sep 17 00:00:00 2001
From: Brian <mofosyne@gmail.com>
Date: Wed, 12 Jun 2024 00:43:41 +1000
Subject: [PATCH 054/131] github: move PR template to .github/ root (#7868)

---
 .github/{PULL_REQUEST_TEMPLATE => }/pull_request_template.md | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename .github/{PULL_REQUEST_TEMPLATE => }/pull_request_template.md (100%)

diff --git a/.github/PULL_REQUEST_TEMPLATE/pull_request_template.md b/.github/pull_request_template.md
similarity index 100%
rename from .github/PULL_REQUEST_TEMPLATE/pull_request_template.md
rename to .github/pull_request_template.md

From 14f83526cd27f638c856ea6eff08110b9860eb2a Mon Sep 17 00:00:00 2001
From: Deven Mistry <31466137+deven367@users.noreply.github.com>
Date: Tue, 11 Jun 2024 12:18:58 -0400
Subject: [PATCH 055/131] fix broken link in pr template (#7880) [no ci]

* fix broken link in pr template

* Update pull_request_template.md [no ci]

---------

Co-authored-by: Brian <mofosyne@gmail.com>
---
 .github/pull_request_template.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 0852fded5..e6d032d87 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -2,4 +2,4 @@
     - [ ] Review Complexity : Low
     - [ ] Review Complexity : Medium
     - [ ] Review Complexity : High
-- [ ] I have read the [contributing guidelines](CONTRIBUTING.md)
+- [ ] I have read the [contributing guidelines](https://github.com/ggerganov/llama.cpp/blob/master/CONTRIBUTING.md)

From ef52d1d16afc695d798396cdd13594ea5e45a9dd Mon Sep 17 00:00:00 2001
From: 0cc4m <picard12@live.de>
Date: Tue, 11 Jun 2024 21:20:29 +0200
Subject: [PATCH 056/131] Update Vulkan RoPE implementation (#7818)

* Update Vulkan RoPE implementation

* Return nullptr on alloc_buffer when allocation fails, instead of throwing an exception

Minor fixes

* Fix segfault when running out of VRAM

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
---
 ggml-alloc.c                |    2 +-
 ggml-vulkan-shaders.hpp     | 2377 ++++++++++++++++++-----------------
 ggml-vulkan.cpp             |   93 +-
 ggml_vk_generate_shaders.py |   66 +-
 4 files changed, 1311 insertions(+), 1227 deletions(-)

diff --git a/ggml-alloc.c b/ggml-alloc.c
index 73a3c1575..eb75962d4 100644
--- a/ggml-alloc.c
+++ b/ggml-alloc.c
@@ -886,7 +886,7 @@ static bool alloc_tensor_range(struct ggml_context * ctx,
         fprintf(stderr, "%s: failed to allocate %s buffer of size %zu\n", __func__, ggml_backend_buft_name(buft), size);
 #endif
         for (size_t i = 0; i < *n_buffers; i++) {
-            ggml_backend_buffer_free(*buffers[i]);
+            ggml_backend_buffer_free((*buffers)[i]);
         }
         free(*buffers);
         return false;
diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp
index b50f55860..4a8ee3415 100644
--- a/ggml-vulkan-shaders.hpp
+++ b/ggml-vulkan-shaders.hpp
@@ -137706,326 +137706,72 @@ unsigned char rms_norm_f32_data[] = {
 };
 const uint64_t rms_norm_f32_len = 2344;
 
-unsigned char rope_f16_data[] = {
+unsigned char rope_neox_f16_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x1c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x50,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
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-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x67,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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-0xc5,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0xc5,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xb3,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,
-0xc6,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xb0,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0x0a,0x01,0x00,0x00,0xd0,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0xa9,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0xb0,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd6,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t rope_f16_len = 3156;
-
-unsigned char rope_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x17,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0a,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
-0xac,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x29,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x67,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x88,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x89,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x89,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x89,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x8b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xaa,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xaa,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xaa,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xac,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xb8,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x87,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x88,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xb8,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
+0x88,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x88,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xba,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x8e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x8e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x8e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x90,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xaf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xaf,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb1,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb1,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xc9,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xcb,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xcb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x16,0x00,0x03,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -138035,25 +137781,26 @@ unsigned char rope_f32_data[] = {
 0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
 0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x1e,0x00,0x09,0x00,0x2a,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x1e,0x00,0x0c,0x00,0x29,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x29,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x2b,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x39,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
-0x3c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x41,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2a,0x00,0x00,0x00,
+0x2b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x3b,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x52,0x00,0x00,0x00,
 0xcd,0xcc,0xcc,0x3d,0x17,0x00,0x04,0x00,0x65,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
@@ -138064,593 +137811,627 @@ unsigned char rope_f32_data[] = {
 0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x88,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
-0x8b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x8d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xa9,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xaa,0x00,0x00,0x00,
-0xa9,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xab,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xab,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xb7,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xb8,0x00,0x00,0x00,
-0xb7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xb9,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x2c,0x00,0x06,0x00,0x65,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x68,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xd1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfb,0x00,0x03,0x00,
-0x6e,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x69,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x68,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x69,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x67,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x72,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0xae,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x77,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x75,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x77,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x76,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0x70,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x07,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x72,0x00,0x00,0x00,
-0x83,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x83,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x8d,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,
-0x8b,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x93,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x95,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
-0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x9b,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x88,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
-0x9b,0x00,0x00,0x00,0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x95,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0xb7,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0xe3,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x2f,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x41,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x2f,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0xe8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
-0x09,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x09,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0xe7,0x00,0x00,0x00,
-0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0xe9,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x0c,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x88,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0c,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x10,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x12,0x01,0x00,0x00,0x1f,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
-0x12,0x01,0x00,0x00,0xe3,0x00,0x00,0x00,0x83,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0xf0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0x15,0x01,0x00,0x00,0xe3,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x88,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x52,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0xdd,0x00,0x00,0x00,
-0x77,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0xe0,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xe5,0x00,0x00,0x00,0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x13,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x03,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xaf,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0xaf,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
-0xb6,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x7f,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xaf,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0x42,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0xc4,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
-0xcd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xcc,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0xaf,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
-0xba,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xce,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd1,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t rope_f32_len = 3072;
-
-unsigned char rope_neox_f16_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x69,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
-0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
-0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x68,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0xc5,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x2a,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x68,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x95,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x98,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x98,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x9b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x9c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x9c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x9e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9e,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xc2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xc3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xd3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd3,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x00,0x00,0x80,0x3f,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x1e,0x00,0x0d,0x00,0x2a,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x2b,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x33,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x39,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
-0x3c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x41,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0xcd,0xcc,0xcc,0x3d,0x17,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x67,0x00,0x00,0x00,
-0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
-0x6f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x73,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x94,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x95,0x00,0x00,0x00,0x94,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
-0x98,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x9b,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x9c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xc2,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0xc3,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,
-0xc5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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-0x73,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
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-0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
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+0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x4f,0x01,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x93,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf7,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xec,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x8a,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x05,0x01,0x00,0x00,
+0x04,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t rope_neox_f16_len = 4132;
+const uint64_t rope_neox_f16_len = 3952;
 
 unsigned char rope_neox_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x63,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x4a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x2b,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2a,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
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+0xf9,0x00,0x02,0x00,0x02,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x02,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t rope_neox_f32_len = 3852;
+
+unsigned char rope_norm_f16_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x49,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0xb0,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x29,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x67,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x87,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x88,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x95,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
+0x88,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x88,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x97,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x9b,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x8e,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x9b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x9b,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0x8e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x8e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x9d,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xc2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xc2,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xae,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb0,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xc4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,
+0xb0,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xca,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x00,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x16,0x00,0x03,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -138660,270 +138441,590 @@ unsigned char rope_neox_f32_data[] = {
 0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x6f,0x12,0x83,0x3a,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
 0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x1e,0x00,0x0c,0x00,0x29,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2a,0x00,0x00,0x00,
+0x2b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x3b,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x52,0x00,0x00,0x00,
+0xcd,0xcc,0xcc,0x3d,0x17,0x00,0x04,0x00,0x65,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x65,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x86,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x87,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x89,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x89,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x8e,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x8f,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
+0xa8,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0xad,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xae,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0xaf,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x2c,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xc7,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0x10,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
+0x15,0x01,0x00,0x00,0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
+0x0c,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x93,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x07,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x68,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x7f,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0xf0,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x06,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x48,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x93,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x93,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xfe,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x01,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x01,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t rope_norm_f16_len = 3952;
+
+unsigned char rope_norm_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x43,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0b,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x29,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x29,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x29,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x89,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x89,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x8d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8f,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xad,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xad,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xad,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xaf,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xc7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xc7,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x07,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x2a,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x6f,0x12,0x83,0x3a,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x00,0x00,0x80,0x3f,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x28,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x1e,0x00,0x0c,0x00,0x29,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x29,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x2b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2a,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x2b,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x33,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x39,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x14,0x00,0x02,0x00,0x3c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x2d,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0xcd,0xcc,0xcc,0x3d,
-0x17,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x67,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x66,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x67,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x07,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x07,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x94,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
-0x94,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x96,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x9a,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x85,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0x7f,0x00,0x04,0x00,
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+0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x42,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x92,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0xf6,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x92,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x89,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfb,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t rope_neox_f32_len = 4032;
+const uint64_t rope_norm_f32_len = 3852;
 
 unsigned char scale_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 128769177..05cfa3159 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -150,7 +150,7 @@ struct vk_device {
     vk_pipeline pipeline_relu_f32;
     vk_pipeline pipeline_diag_mask_inf_f32;
     vk_pipeline pipeline_soft_max_f32, pipeline_soft_max_f32_f16;
-    vk_pipeline pipeline_rope_f32, pipeline_rope_f16;
+    vk_pipeline pipeline_rope_norm_f32, pipeline_rope_norm_f16;
     vk_pipeline pipeline_rope_neox_f32, pipeline_rope_neox_f16;
     vk_pipeline pipeline_argsort_f32;
     vk_pipeline pipeline_sum_rows_f32;
@@ -283,26 +283,15 @@ struct vk_op_diag_mask_push_constants {
 
 struct vk_op_rope_push_constants {
     uint32_t ncols;
+    uint32_t n_dims;
     float freq_scale;
     uint32_t p_delta_rows;
     float freq_base;
     float ext_factor;
     float attn_factor;
-    float corr_dims[4];
-};
-
-struct vk_op_rope_neox_push_constants {
-    uint32_t ncols;
-    uint32_t ndims;
-    float freq_scale;
-    uint32_t p_delta_rows;
-    float freq_base;
-    float ext_factor;
-    float attn_factor;
-    float corr_dims[4];
+    float corr_dims[2];
     float theta_scale;
-    float inv_ndims;
-    uint32_t has_freq_facs;
+    uint32_t has_ff;
 };
 
 struct vk_op_soft_max_push_constants {
@@ -1534,11 +1523,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_f32, "rope_f32", rope_f32_len, rope_f32_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_f16, "rope_f16", rope_f16_len, rope_f16_data, "main", 3, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f32, "rope_norm_f32", rope_norm_f32_len, rope_norm_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_neox_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1);
 
@@ -3905,10 +3894,10 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
                 }
             } else {
                 if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
-                    return ctx->device->pipeline_rope_f32;
+                    return ctx->device->pipeline_rope_norm_f32;
                 }
                 if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
-                    return ctx->device->pipeline_rope_f16;
+                    return ctx->device->pipeline_rope_norm_f16;
                 }
             }
             return nullptr;
@@ -4152,24 +4141,16 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
             ggml_vk_sync_buffers(subctx);
             ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, subbuf_y, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
         } else if (op == GGML_OP_ROPE) {
-            const int mode          = ((int32_t *) dst->op_params)[2];
-            const bool is_neox = mode & 2;
-
-            if (is_neox) {
-                // Empty src2 is possible in rope, but the shader needs a buffer
-                vk_subbuffer subbuf_z;
-                if (use_src2) {
-                    subbuf_z = { d_Z, z_buf_offset, z_sz };
-                } else {
-                    subbuf_z = { d_X, 0, d_X->size };
-                }
-
-                ggml_vk_sync_buffers(subctx);
-                ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, subbuf_z, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+            // Empty src2 is possible in rope, but the shader needs a buffer
+            vk_subbuffer subbuf_z;
+            if (use_src2) {
+                subbuf_z = { d_Z, z_buf_offset, z_sz };
             } else {
-                ggml_vk_sync_buffers(subctx);
-                ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
+                subbuf_z = { d_X, 0, d_X->size };
             }
+
+            ggml_vk_sync_buffers(subctx);
+            ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, subbuf_z, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
         } else if (use_src2) {
             ggml_vk_sync_buffers(subctx);
             ggml_vk_dispatch_pipeline(ctx, subctx, pipeline, { { d_X, x_buf_offset, x_sz }, { d_Y, y_buf_offset, y_sz }, { d_Z, z_buf_offset, z_sz }, { d_D, d_buf_offset, d_sz } }, sizeof(PC), &pc, elements);
@@ -4391,7 +4372,7 @@ static void ggml_vk_soft_max(ggml_backend_vk_context * ctx, vk_context * subctx,
 
 static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
     const int n_dims        = ((int32_t *) dst->op_params)[1];
-    const int mode          = ((int32_t *) dst->op_params)[2];
+    // const int mode          = ((int32_t *) dst->op_params)[2];
     // const int n_ctx         = ((int32_t *) dst->op_params)[3];
     const int n_ctx_orig    = ((int32_t *) dst->op_params)[4];
     const float freq_base   = ((float *)   dst->op_params)[5];
@@ -4401,28 +4382,16 @@ static void ggml_vk_rope(ggml_backend_vk_context * ctx, vk_context * subctx, con
     const float beta_fast   = ((float *)   dst->op_params)[9];
     const float beta_slow   = ((float *)   dst->op_params)[10];
 
-    const bool is_neox = mode & 2;
-
-#pragma message("TODO: update rope NORM mode to match NEOX mode")
-#pragma message("      https://github.com/ggerganov/llama.cpp/pull/7634")
-
     float corr_dims[2];
     ggml_rope_yarn_corr_dims(n_dims, n_ctx_orig, freq_base, beta_fast, beta_slow, corr_dims);
 
-    if (is_neox) {
-        const float theta_scale = powf(freq_base, -2.0f/n_dims);
-        const float inv_ndims = -1.0f / n_dims;
-        ggml_vk_op_f32<vk_op_rope_neox_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_ROPE, {
-            (uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1],
-            freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f}, theta_scale, inv_ndims,
-            src2 != nullptr,
-        });
-    } else {
-        ggml_vk_op_f32<vk_op_rope_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_ROPE, {
-            (uint32_t)src0->ne[0], freq_scale, (uint32_t)src0->ne[1],
-            freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1], 0.0f, 0.0f}
-        });
-    }
+    const float theta_scale = powf(freq_base, -2.0f/n_dims);
+
+    ggml_vk_op_f32<vk_op_rope_push_constants>(ctx, subctx, src0, src1, src2, dst, GGML_OP_ROPE, {
+        (uint32_t)src0->ne[0], (uint32_t)n_dims, freq_scale, (uint32_t)src0->ne[1],
+        freq_base, ext_factor, attn_factor, {corr_dims[0], corr_dims[1]}, theta_scale,
+        src2 != nullptr,
+    });
 }
 
 static void ggml_vk_argsort(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, ggml_tensor * dst) {
@@ -6070,7 +6039,13 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(
     std::cerr << "ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")" << std::endl;
 #endif
     ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context;
-    vk_buffer dev_buffer = ggml_vk_create_buffer_device(ctx->ctx, size);
+
+    vk_buffer dev_buffer = nullptr;
+    try {
+        dev_buffer = ggml_vk_create_buffer_device(ctx->ctx, size);
+    } catch (const vk::SystemError& e) {
+        return nullptr;
+    }
 
     ggml_backend_vk_buffer_context * bufctx = new ggml_backend_vk_buffer_context(ctx->ctx, std::move(dev_buffer), ctx->name);
 
@@ -6466,7 +6441,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
         //         return src0_type != GGML_TYPE_I32 && src0_type != GGML_TYPE_I16;
         //     } break;
         case GGML_OP_ROPE:
-            return true;
+            return ggml_is_contiguous(op->src[0]);
         case GGML_OP_NONE:
         case GGML_OP_RESHAPE:
         case GGML_OP_VIEW:
diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py
index a905f570c..400a63f57 100644
--- a/ggml_vk_generate_shaders.py
+++ b/ggml_vk_generate_shaders.py
@@ -2400,7 +2400,7 @@ void main() {
 """
 
 # ROPE
-rope_src = """
+rope_norm_src = """
 #version 450
 
 #extension GL_EXT_shader_16bit_storage : require
@@ -2408,17 +2408,21 @@ rope_src = """
 layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
 
 layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer Y {int data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
+layout (binding = 1) readonly buffer Y {int data_pos[];};
+layout (binding = 2) readonly buffer Z {float data_ff[];};
+layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
 
 layout (push_constant) uniform parameter {
     uint ncols;
+    uint n_dims;
     float freq_scale;
     uint p_delta_rows;
     float freq_base;
     float ext_factor;
     float attn_factor;
-    float corr_dims[4];
+    float corr_dims[2];
+    float theta_scale;
+    uint has_ff;
 } p;
 
 float rope_yarn_ramp(const float low, const float high, const uint i0) {
@@ -2450,14 +2454,24 @@ void main() {
         return;
     }
 
+    if (col >= p.n_dims) {
+        const uint i = row*p.ncols + col;
+
+        data_d[i + 0] = data_a[i + 0];
+        data_d[i + 1] = data_a[i + 1];
+
+        return;
+    }
+
     const uint i = row*p.ncols + col;
     const uint i2 = row/p.p_delta_rows;
 
-    const int pos = data_b[i2];
-    const float theta_base = pos * pow(p.freq_base, -float(col)/p.ncols);
+    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
+
+    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
 
     float cos_theta, sin_theta;
-    rope_yarn(theta_base, col, cos_theta, sin_theta);
+    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
 
     const float x0 = float(data_a[i + 0]);
     const float x1 = float(data_a[i + 1]);
@@ -2475,22 +2489,21 @@ rope_neox_src = """
 layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
 
 layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer Y {int data_b[];};
-layout (binding = 2) readonly buffer Z {float data_freq_factors[];};
+layout (binding = 1) readonly buffer Y {int data_pos[];};
+layout (binding = 2) readonly buffer Z {float data_ff[];};
 layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
 
 layout (push_constant) uniform parameter {
     uint ncols;
-    uint ndims;
+    uint n_dims;
     float freq_scale;
     uint p_delta_rows;
     float freq_base;
     float ext_factor;
     float attn_factor;
-    float corr_dims[4];
+    float corr_dims[2];
     float theta_scale;
-    float inv_ndims;
-    uint has_freq_facs;
+    uint has_ff;
 } p;
 
 float rope_yarn_ramp(const float low, const float high, const uint i0) {
@@ -2522,11 +2535,8 @@ void main() {
         return;
     }
 
-    const uint ib = col / p.ndims;
-    const uint ic = col % p.ndims;
-
-    if (ib > 0) {
-        const uint i = row*p.ncols + ib*p.ndims + ic;
+    if (col >= p.n_dims) {
+        const uint i = row*p.ncols + col;
 
         data_d[i + 0] = data_a[i + 0];
         data_d[i + 1] = data_a[i + 1];
@@ -2534,29 +2544,27 @@ void main() {
         return;
     }
 
-    const uint i  = row*p.ncols + ib*p.ndims + ic/2;
+    const uint i  = row*p.ncols + col/2;
     const uint i2 = row/p.p_delta_rows;
 
-    const int pos = data_b[i2];
-    const float freq_factor = p.has_freq_facs != 0 ? data_freq_factors[ic/2] : 1.0f;
-    const float theta_base = pos*p.freq_scale*pow(p.theta_scale, col/2.0f) / freq_factor;
+    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
+
+    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
 
     float cos_theta, sin_theta;
-    rope_yarn(theta_base, ic, cos_theta, sin_theta);
+    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
 
     const float x0 = float(data_a[i + 0]);
-    const float x1 = float(data_a[i + p.ndims/2]);
+    const float x1 = float(data_a[i + p.n_dims/2]);
 
     data_d[i + 0]        = D_TYPE(x0*cos_theta - x1*sin_theta);
-    data_d[i + p.ndims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
+    data_d[i + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
 }
 """
 
 argsort_src = """
 #version 450
 
-#extension GL_EXT_shader_16bit_storage : require
-
 #define BLOCK_SIZE 1024
 #define ASC 0
 
@@ -3039,8 +3047,8 @@ async def main():
     tasks.append(string_to_spv("soft_max_f32", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float", "C_TYPE": "float", "D_TYPE": "float"}))
     tasks.append(string_to_spv("soft_max_f32_f16", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float16_t", "C_TYPE": "float16_t", "D_TYPE": "float"}))
 
-    tasks.append(string_to_spv("rope_f32", rope_src, {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("rope_f16", rope_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
+    tasks.append(string_to_spv("rope_norm_f32", rope_norm_src, {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("rope_norm_f16", rope_norm_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
 
     tasks.append(string_to_spv("rope_neox_f32", rope_neox_src, {"A_TYPE": "float", "D_TYPE": "float"}))
     tasks.append(string_to_spv("rope_neox_f16", rope_neox_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))

From 73bac2b11d7d3e20982fc9ee607625836387db8b Mon Sep 17 00:00:00 2001
From: "k.h.lai" <adrian.k.h.lai@outlook.com>
Date: Wed, 12 Jun 2024 03:26:05 +0800
Subject: [PATCH 057/131] vulkan: select only one device for single gpu with
 multiple drivers (#7582)

---
 ggml-vulkan.cpp | 82 ++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 78 insertions(+), 4 deletions(-)

diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 05cfa3159..06ba23313 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -1,5 +1,5 @@
 #include "ggml-vulkan.h"
-
+#include <vulkan/vulkan_core.h>
 #ifdef GGML_VULKAN_RUN_TESTS
 #include <chrono>
 #endif
@@ -9,12 +9,13 @@
 #include <algorithm>
 #include <cmath>
 #include <iostream>
-#include <limits>
 #include <tuple>
 #include <vector>
 #include <sstream>
 #include <utility>
 #include <memory>
+#include <limits>
+#include <map>
 
 #include "ggml.h"
 #include "ggml-backend-impl.h"
@@ -1555,8 +1556,10 @@ static void ggml_vk_print_gpu_info(size_t idx) {
     vk::PhysicalDeviceProperties2 props2;
     vk::PhysicalDeviceMaintenance3Properties props3;
     vk::PhysicalDeviceSubgroupProperties subgroup_props;
+    vk::PhysicalDeviceDriverProperties driver_props;
     props2.pNext = &props3;
     props3.pNext = &subgroup_props;
+    subgroup_props.pNext = &driver_props;
     physical_device.getProperties2(&props2);
 
     const size_t subgroup_size = subgroup_props.subgroupSize;
@@ -1600,7 +1603,7 @@ static void ggml_vk_print_gpu_info(size_t idx) {
     fp16 = fp16 && vk12_features.shaderFloat16;
 
     std::string device_name = props2.properties.deviceName.data();
-    std::cerr << GGML_VK_NAME << idx << ": " << device_name << " | uma: " << uma << " | fp16: " << fp16 << " | warp size: " << subgroup_size << std::endl;
+    std::cerr << GGML_VK_NAME << idx << ": " << device_name << " (" << driver_props.driverName << ") | uma: " << uma << " | fp16: " << fp16 << " | warp size: " << subgroup_size << std::endl;
 
     if (props2.properties.deviceType == vk::PhysicalDeviceType::eCpu) {
         std::cerr << "ggml_vulkan: Warning: Device type is CPU. This is probably not the device you want." << std::endl;
@@ -1696,7 +1699,78 @@ void ggml_vk_instance_init() {
             vk::PhysicalDeviceProperties props = devices[i].getProperties();
 
             if (props.deviceType == vk::PhysicalDeviceType::eDiscreteGpu) {
-                vk_instance.device_indices.push_back(i);
+                // Check if there are two physical devices corresponding to the same GPU
+                auto old_device = std::find_if(
+                    vk_instance.device_indices.begin(),
+                    vk_instance.device_indices.end(),
+                    [&devices, &props](const size_t k){ return devices[k].getProperties().deviceID == props.deviceID; }
+                );
+                if (old_device == vk_instance.device_indices.end()) {
+                    vk_instance.device_indices.push_back(i);
+                } else {
+                    // There can be two physical devices corresponding to the same GPU if there are 2 different drivers
+                    // This can cause error when splitting layers aross the devices, need to keep only 1
+#ifdef GGML_VULKAN_DEBUG
+                    std::cerr << "Device " << i << " and device " << *old_device << " have the same device id" << std::endl;
+#endif
+
+                    vk::PhysicalDeviceProperties2 old_prop;
+                    vk::PhysicalDeviceDriverProperties old_driver;
+                    old_prop.pNext = &old_driver;
+                    devices[*old_device].getProperties2(&old_prop);
+
+                    vk::PhysicalDeviceProperties2 new_prop;
+                    vk::PhysicalDeviceDriverProperties new_driver;
+                    new_prop.pNext = &new_driver;
+                    devices[i].getProperties2(&new_prop);
+
+                    std::map<vk::DriverId, int> driver_priorities {};
+                    int old_priority = std::numeric_limits<int>::max();
+                    int new_priority = std::numeric_limits<int>::max();
+
+                    // Check https://registry.khronos.org/vulkan/specs/1.3-extensions/man/html/VkDriverId.html for the list of driver id
+                    // Smaller number -> higher priority
+                    switch (old_prop.properties.vendorID) {
+                        case VK_VENDOR_ID_AMD:
+                            driver_priorities[vk::DriverId::eMesaRadv] = 1;
+                            driver_priorities[vk::DriverId::eAmdOpenSource] = 2;
+                            driver_priorities[vk::DriverId::eAmdProprietary] = 3;
+                            break;
+                        case VK_VENDOR_ID_INTEL:
+                            driver_priorities[vk::DriverId::eIntelOpenSourceMESA] = 1;
+                            driver_priorities[vk::DriverId::eIntelProprietaryWindows] = 2;
+                            break;
+                        case VK_VENDOR_ID_NVIDIA:
+                            driver_priorities[vk::DriverId::eNvidiaProprietary] = 1;
+#if defined(VK_API_VERSION_1_3) && VK_HEADER_VERSION >= 235
+                            driver_priorities[vk::DriverId::eMesaNvk] = 2;
+#endif
+                            break;
+                    }
+
+                    if (driver_priorities.count(old_driver.driverID)) {
+                        old_priority = driver_priorities[old_driver.driverID];
+                    }
+                    if (driver_priorities.count(new_driver.driverID)) {
+                        new_priority = driver_priorities[new_driver.driverID];
+                    }
+
+                    if (new_priority < old_priority) {
+                        auto r = std::remove(vk_instance.device_indices.begin(), vk_instance.device_indices.end(), *old_device);
+                        vk_instance.device_indices.erase(r, vk_instance.device_indices.end());
+                        vk_instance.device_indices.push_back(i);
+
+#ifdef GGML_VULKAN_DEBUG
+                        std::cerr << "Prioritize device " << i << " driver " << new_driver.driverName << " over device " << *old_device << " driver " << old_driver.driverName << std::endl;
+#endif
+                    }
+#ifdef GGML_VULKAN_DEBUG
+                    else {
+                        std::cerr << "Prioritize device " << *old_device << " driver " << old_driver.driverName << " over device " << i << " driver " << new_driver.driverName << std::endl;
+
+                    }
+#endif
+                }
             }
         }
 

From f2b5764beb35583295e2475479c18f249b139b58 Mon Sep 17 00:00:00 2001
From: Patrice Ferlet <metal3d@gmail.com>
Date: Wed, 12 Jun 2024 03:18:16 +0200
Subject: [PATCH 058/131] Fix a typo and add Fedora 40 pacakge to install for
 Vulkan (#7794) [no ci]

Fix "appropiate" to "appropriate" and add Fedora 40 packages to install to compile with Vulkan support
---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ecb9d00db..8c065aace 100644
--- a/README.md
+++ b/README.md
@@ -576,7 +576,9 @@ Building the program with BLAS support may lead to some performance improvements
   vulkaninfo
   ```
 
-  Alternatively your package manager might be able to provide the appropiate libraries. For example for Ubuntu 22.04 you can install `libvulkan-dev` instead.
+  Alternatively your package manager might be able to provide the appropriate libraries.
+  For example for Ubuntu 22.04 you can install `libvulkan-dev` instead.
+  For Fedora 40, you can install `vulkan-devel`, `glslc` and `glslang` packages.
 
   Then, build llama.cpp using the cmake command below:
 

From dcf752707d96eb305f546526c7bc5d01f0831130 Mon Sep 17 00:00:00 2001
From: "Meng, Hengyu" <hengyu.meng@intel.com>
Date: Wed, 12 Jun 2024 17:05:35 +0800
Subject: [PATCH 059/131] update intel docker oneapi-basekit to
 2024.1.1-devel-ubuntu22.04 (#7894)

In addition this reverts a workaround we had to do to workaround the upstream issue with expired intel GPG package keys in 2024.0.1-devel-ubuntu22.04
---
 .devops/main-intel.Dockerfile   | 10 +---------
 .devops/server-intel.Dockerfile | 18 +-----------------
 2 files changed, 2 insertions(+), 26 deletions(-)

diff --git a/.devops/main-intel.Dockerfile b/.devops/main-intel.Dockerfile
index 7516c8313..b7992f47b 100644
--- a/.devops/main-intel.Dockerfile
+++ b/.devops/main-intel.Dockerfile
@@ -1,15 +1,7 @@
-ARG ONEAPI_VERSION=2024.0.1-devel-ubuntu22.04
+ARG ONEAPI_VERSION=2024.1.1-devel-ubuntu22.04
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as build
 
-RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
-    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
-    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
-    rm /etc/apt/sources.list.d/intel-graphics.list && \
-    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
-    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
-    chmod 644 /usr/share/keyrings/intel-graphics.gpg
-
 ARG LLAMA_SYCL_F16=OFF
 RUN apt-get update && \
     apt-get install -y git
diff --git a/.devops/server-intel.Dockerfile b/.devops/server-intel.Dockerfile
index 13d00b737..c5adcb6da 100644
--- a/.devops/server-intel.Dockerfile
+++ b/.devops/server-intel.Dockerfile
@@ -1,15 +1,7 @@
-ARG ONEAPI_VERSION=2024.0.1-devel-ubuntu22.04
+ARG ONEAPI_VERSION=2024.1.1-devel-ubuntu22.04
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as build
 
-RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
-    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
-    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
-    rm /etc/apt/sources.list.d/intel-graphics.list && \
-    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
-    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
-    chmod 644 /usr/share/keyrings/intel-graphics.gpg
-
 ARG LLAMA_SYCL_F16=OFF
 RUN apt-get update && \
     apt-get install -y git libcurl4-openssl-dev
@@ -27,14 +19,6 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
 
-RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | tee /usr/share/keyrings/intel-oneapi-archive-keyring.gpg > /dev/null && \
-    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main " | tee /etc/apt/sources.list.d/oneAPI.list && \
-    chmod 644 /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
-    rm /etc/apt/sources.list.d/intel-graphics.list && \
-    wget -O- https://repositories.intel.com/graphics/intel-graphics.key | gpg --dearmor | tee /usr/share/keyrings/intel-graphics.gpg > /dev/null && \
-    echo "deb [arch=amd64,i386 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/graphics/ubuntu jammy arc" | tee /etc/apt/sources.list.d/intel.gpu.jammy.list && \
-    chmod 644 /usr/share/keyrings/intel-graphics.gpg
-
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 

From 704a35b183748954013bd875bbbfdd9eaca14e62 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Wed, 12 Jun 2024 14:42:29 +0300
Subject: [PATCH 060/131] server : restore numeric prompts (#7883)

---
 examples/server/server.cpp | 19 ++++++++++++-------
 1 file changed, 12 insertions(+), 7 deletions(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 80714fa58..919078f2b 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -147,7 +147,7 @@ struct server_slot {
     int32_t n_prompt_tokens           = 0;
     int32_t n_prompt_tokens_processed = 0;
 
-    std::string prompt;
+    json prompt; // can be either a string, array of strings or array of token ids
 
     // when a task is submitted, we first tokenize the prompt and store it here
     std::vector<llama_token> prompt_tokens;
@@ -822,8 +822,13 @@ struct server_context {
                     continue;
                 }
 
+                // skip the slot if it does not contains prompt
+                if (!slot.prompt.is_string()) {
+                    continue;
+                }
+
                 // current slot's prompt
-                std::string slot_prompt = slot.prompt;
+                std::string slot_prompt = slot.prompt.get<std::string>();
 
                 // length of the current slot's prompt
                 int slot_prompt_len = slot_prompt.size();
@@ -957,12 +962,12 @@ struct server_context {
                 return false;
             }
 
-            if (prompt->is_string()) {
-                slot.prompt = prompt->get<std::string>();
-            } else if (prompt->is_array() && prompt->size() == 1 && prompt->at(0).is_string()) {
-                slot.prompt = prompt->at(0).get<std::string>();
+            if ((prompt->is_string()) ||
+                (prompt->is_array() &&  prompt->size() == 1 && prompt->at(0).is_string()) ||
+                (prompt->is_array() && !prompt->empty()     && prompt->at(0).is_number_integer())) {
+                slot.prompt = *prompt;
             } else {
-                send_error(task, "\"prompt\" must be a string or an array of strings", ERROR_TYPE_INVALID_REQUEST);
+                send_error(task, "\"prompt\" must be a string or an array of integers", ERROR_TYPE_INVALID_REQUEST);
                 return false;
             }
         }

From bfaa676b0841617d4ef3596e63aca6be1a8eb1b5 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Wed, 12 Jun 2024 15:24:20 +0300
Subject: [PATCH 061/131] ggml : improve ggml_is_contiguous logic (#7856)

* ggml : improve ggml_is_contiguous logic

ggml-ci

* ggml : support more contiguous cases

ggml-ci
---
 ggml.c | 75 +++++++++++++++++++++++++++-------------------------------
 1 file changed, 35 insertions(+), 40 deletions(-)

diff --git a/ggml.c b/ggml.c
index 1fc77743b..5fb9e9a32 100644
--- a/ggml.c
+++ b/ggml.c
@@ -3212,35 +3212,42 @@ GGML_CALL bool ggml_is_transposed(const struct ggml_tensor * tensor) {
     return tensor->nb[0] > tensor->nb[1];
 }
 
-GGML_CALL bool ggml_is_contiguous(const struct ggml_tensor * tensor) {
-    static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
+static bool ggml_is_contiguous_n(const struct ggml_tensor * tensor, int n) {
+    size_t next_nb = ggml_type_size(tensor->type);
+    if (tensor->ne[0] != ggml_blck_size(tensor->type) && tensor->nb[0] != next_nb) {
+        return false;
+    }
+    next_nb *= tensor->ne[0]/ggml_blck_size(tensor->type);
+    for (int i = 1; i < GGML_MAX_DIMS; i++) {
+        if (tensor->ne[i] != 1) {
+            if (i > n) {
+                if (tensor->nb[i] != next_nb) {
+                    return false;
+                }
+                next_nb *= tensor->ne[i];
+            } else {
+                // this dimension does not need to be contiguous
+                next_nb = tensor->ne[i]*tensor->nb[i];
+            }
+        }
+    }
+    return true;
+}
 
-    return
-        tensor->nb[0] == ggml_type_size(tensor->type) &&
-        tensor->nb[1] == (tensor->nb[0]*tensor->ne[0])/ggml_blck_size(tensor->type) &&
-        tensor->nb[2] == tensor->nb[1]*tensor->ne[1] &&
-        tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
+GGML_CALL bool ggml_is_contiguous(const struct ggml_tensor * tensor) {
+    return ggml_is_contiguous_0(tensor);
 }
 
 GGML_CALL bool ggml_is_contiguous_0(const struct ggml_tensor * tensor) {
-    return ggml_is_contiguous(tensor);
+    return ggml_is_contiguous_n(tensor, 0);
 }
 
 GGML_CALL bool ggml_is_contiguous_1(const struct ggml_tensor * tensor) {
-    static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
-
-    return
-        tensor->nb[0] == ggml_type_size(tensor->type) &&
-        tensor->nb[2] == tensor->nb[1]*tensor->ne[1] &&
-        tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
+    return ggml_is_contiguous_n(tensor, 1);
 }
 
 GGML_CALL bool ggml_is_contiguous_2(const struct ggml_tensor * tensor) {
-    static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
-
-    return
-        tensor->nb[0] == ggml_type_size(tensor->type) &&
-        tensor->nb[3] == tensor->nb[2]*tensor->ne[2];
+    return ggml_is_contiguous_n(tensor, 2);
 }
 
 GGML_CALL bool ggml_is_permuted(const struct ggml_tensor * tensor) {
@@ -3272,20 +3279,20 @@ bool ggml_are_same_shape(const struct ggml_tensor * t0, const struct ggml_tensor
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
 
     return
-        (t0->ne[0] == t1->ne[0] ) &&
-        (t0->ne[1] == t1->ne[1] ) &&
-        (t0->ne[2] == t1->ne[2] ) &&
-        (t0->ne[3] == t1->ne[3] );
+        (t0->ne[0] == t1->ne[0]) &&
+        (t0->ne[1] == t1->ne[1]) &&
+        (t0->ne[2] == t1->ne[2]) &&
+        (t0->ne[3] == t1->ne[3]);
 }
 
 bool ggml_are_same_stride(const struct ggml_tensor * t0, const struct ggml_tensor * t1) {
     static_assert(GGML_MAX_DIMS == 4, "GGML_MAX_DIMS is not 4 - update this function");
 
     return
-        (t0->nb[0] == t1->nb[0] ) &&
-        (t0->nb[1] == t1->nb[1] ) &&
-        (t0->nb[2] == t1->nb[2] ) &&
-        (t0->nb[3] == t1->nb[3] );
+        (t0->nb[0] == t1->nb[0]) &&
+        (t0->nb[1] == t1->nb[1]) &&
+        (t0->nb[2] == t1->nb[2]) &&
+        (t0->nb[3] == t1->nb[3]);
 }
 
 // check if t1 can be represented as a repeatition of t0
@@ -4078,32 +4085,26 @@ float ggml_get_f32_1d(const struct ggml_tensor * tensor, int i) {
     switch (tensor->type) {
         case GGML_TYPE_I8:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int8_t));
                 return ((int8_t *)(tensor->data))[i];
             }
         case GGML_TYPE_I16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int16_t));
                 return ((int16_t *)(tensor->data))[i];
             }
         case GGML_TYPE_I32:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int32_t));
                 return ((int32_t *)(tensor->data))[i];
             }
         case GGML_TYPE_F16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(ggml_fp16_t));
                 return GGML_FP16_TO_FP32(((ggml_fp16_t *)(tensor->data))[i]);
             }
         case GGML_TYPE_BF16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(ggml_bf16_t));
                 return GGML_BF16_TO_FP32(((ggml_bf16_t *)(tensor->data))[i]);
             }
         case GGML_TYPE_F32:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(float));
                 return ((float *)(tensor->data))[i];
             }
         default:
@@ -4125,32 +4126,26 @@ void ggml_set_f32_1d(const struct ggml_tensor * tensor, int i, float value) {
     switch (tensor->type) {
         case GGML_TYPE_I8:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int8_t));
                 ((int8_t *)(tensor->data))[i] = value;
             } break;
         case GGML_TYPE_I16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int16_t));
                 ((int16_t *)(tensor->data))[i] = value;
             } break;
         case GGML_TYPE_I32:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(int32_t));
                 ((int32_t *)(tensor->data))[i] = value;
             } break;
         case GGML_TYPE_F16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(ggml_fp16_t));
                 ((ggml_fp16_t *)(tensor->data))[i] = GGML_FP32_TO_FP16(value);
             } break;
         case GGML_TYPE_BF16:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(ggml_bf16_t));
                 ((ggml_bf16_t *)(tensor->data))[i] = GGML_FP32_TO_BF16(value);
             } break;
         case GGML_TYPE_F32:
             {
-                GGML_ASSERT(tensor->nb[0] == sizeof(float));
                 ((float *)(tensor->data))[i] = value;
             } break;
         default:
@@ -7343,7 +7338,7 @@ struct ggml_tensor * ggml_add_rel_pos_inplace(
     return ggml_add_rel_pos_impl(ctx, a, pw, ph, true);
 }
 
-// gmml_unary
+// ggml_unary
 
 static struct ggml_tensor * ggml_unary_impl(
         struct ggml_context * ctx,

From a9cae48003dfc4fe95b8f5c81682fc6e63425235 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Wed, 12 Jun 2024 16:00:22 +0300
Subject: [PATCH 062/131] tests : add non-cont unary tests (#7857)

* tests : add non-cont unary tests

* ggml : update unary asserts and "supports_op"

ggml-ci
---
 ggml-cuda.cu               |  2 +-
 ggml-cuda/unary.cu         | 20 ++++++++
 ggml-kompute.cpp           |  2 +-
 ggml-metal.m               |  2 +-
 ggml-sycl.cpp              |  2 +-
 ggml-vulkan.cpp            |  2 +-
 ggml.c                     | 97 ++++++++++++++++++--------------------
 tests/test-backend-ops.cpp | 29 ++++++++----
 8 files changed, 90 insertions(+), 66 deletions(-)

diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index af10f21a0..c6bc3f64c 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -2740,7 +2740,7 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons
                 case GGML_UNARY_OP_HARDSWISH:
                 case GGML_UNARY_OP_GELU_QUICK:
                 case GGML_UNARY_OP_TANH:
-                    return true;
+                    return ggml_is_contiguous(op->src[0]);
                 default:
                     return false;
             }
diff --git a/ggml-cuda/unary.cu b/ggml-cuda/unary.cu
index ac03d5c6f..a5ff96320 100644
--- a/ggml-cuda/unary.cu
+++ b/ggml-cuda/unary.cu
@@ -148,6 +148,8 @@ void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -160,6 +162,8 @@ void ggml_cuda_op_silu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -172,6 +176,8 @@ void ggml_cuda_op_gelu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -184,6 +190,8 @@ void ggml_cuda_op_tanh(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -196,6 +204,8 @@ void ggml_cuda_op_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -208,6 +218,8 @@ void ggml_cuda_op_sigmoid(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -220,6 +232,8 @@ void ggml_cuda_op_hardsigmoid(ggml_backend_cuda_context & ctx, ggml_tensor * dst
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -232,6 +246,8 @@ void ggml_cuda_op_hardswish(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -244,6 +260,8 @@ void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst)
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
@@ -259,6 +277,8 @@ void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     float * dst_d = (float *)dst->data;
     cudaStream_t stream = ctx.stream();
 
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
diff --git a/ggml-kompute.cpp b/ggml-kompute.cpp
index 5592741be..18c6f4a10 100644
--- a/ggml-kompute.cpp
+++ b/ggml-kompute.cpp
@@ -1340,7 +1340,7 @@ static bool ggml_vk_supports_op(const struct ggml_tensor * op) {
                 case GGML_UNARY_OP_RELU:
                 case GGML_UNARY_OP_GELU:
                 case GGML_UNARY_OP_SILU:
-                    return true;
+                    return ggml_is_contiguous(op->src[0]);
                 default:
                     ;
             }
diff --git a/ggml-metal.m b/ggml-metal.m
index 946f11813..b5c287347 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -744,7 +744,7 @@ static bool ggml_metal_supports_op(const struct ggml_metal_context * ctx, const
                 case GGML_UNARY_OP_GELU:
                 case GGML_UNARY_OP_GELU_QUICK:
                 case GGML_UNARY_OP_SILU:
-                    return true;
+                    return ggml_is_contiguous(op->src[0]);
                 default:
                     return false;
             }
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 42fc0df20..e7d260bd4 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -17190,7 +17190,7 @@ GGML_CALL static bool ggml_backend_sycl_supports_op(ggml_backend_t backend, cons
                 case GGML_UNARY_OP_HARDSWISH:
                 case GGML_UNARY_OP_GELU_QUICK:
                 case GGML_UNARY_OP_TANH:
-                    return true;
+                    return ggml_is_contiguous(op->src[0]);
                 default:
                     return false;
             }
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 06ba23313..5b9280491 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -6439,7 +6439,7 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
                 case GGML_UNARY_OP_GELU:
                 case GGML_UNARY_OP_SILU:
                 case GGML_UNARY_OP_RELU:
-                    return true;
+                    return ggml_is_contiguous(op->src[0]);
                 default:
                     return false;
             }
diff --git a/ggml.c b/ggml.c
index 5fb9e9a32..2ea1d7677 100644
--- a/ggml.c
+++ b/ggml.c
@@ -7345,6 +7345,8 @@ static struct ggml_tensor * ggml_unary_impl(
         struct ggml_tensor * a,
         enum ggml_unary_op op,
         bool inplace) {
+    GGML_ASSERT(ggml_is_contiguous_1(a));
+
     bool is_node = false;
 
     if (!inplace && (a->grad)) {
@@ -11009,6 +11011,8 @@ static void ggml_compute_forward_abs_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11018,9 +11022,6 @@ static void ggml_compute_forward_abs_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_abs_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11055,6 +11056,8 @@ static void ggml_compute_forward_sgn_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11064,9 +11067,6 @@ static void ggml_compute_forward_sgn_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_sgn_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11101,6 +11101,8 @@ static void ggml_compute_forward_neg_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11110,9 +11112,6 @@ static void ggml_compute_forward_neg_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_neg_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11147,6 +11146,8 @@ static void ggml_compute_forward_step_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11156,9 +11157,6 @@ static void ggml_compute_forward_step_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_step_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11193,6 +11191,8 @@ static void ggml_compute_forward_tanh_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11202,9 +11202,6 @@ static void ggml_compute_forward_tanh_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_tanh_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11239,6 +11236,8 @@ static void ggml_compute_forward_elu_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11248,9 +11247,6 @@ static void ggml_compute_forward_elu_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_elu_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11285,6 +11281,8 @@ static void ggml_compute_forward_relu_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11294,9 +11292,6 @@ static void ggml_compute_forward_relu_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_relu_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11331,6 +11326,8 @@ static void ggml_compute_forward_sigmoid_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11340,9 +11337,6 @@ static void ggml_compute_forward_sigmoid_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_sigmoid_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11376,9 +11370,9 @@ static void ggml_compute_forward_gelu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_1(dst));
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
+    assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -11439,9 +11433,9 @@ static void ggml_compute_forward_gelu_quick_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_1(dst));
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
+    assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -11502,9 +11496,9 @@ static void ggml_compute_forward_silu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_is_contiguous_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_1(dst));
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
+    assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -11565,6 +11559,8 @@ static void ggml_compute_forward_leaky_relu_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11614,11 +11610,11 @@ static void ggml_compute_forward_silu_back_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * grad = dst->src[1];
 
-    GGML_ASSERT(ggml_is_contiguous_1(grad));
-    GGML_ASSERT(ggml_is_contiguous_1(src0));
-    GGML_ASSERT(ggml_is_contiguous_1(dst));
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
-    GGML_ASSERT(ggml_are_same_shape(src0, grad));
+    assert(ggml_is_contiguous_1(grad));
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
+    assert(ggml_are_same_shape(src0, dst));
+    assert(ggml_are_same_shape(src0, grad));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -11680,6 +11676,8 @@ static void ggml_compute_forward_hardswish_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11689,9 +11687,6 @@ static void ggml_compute_forward_hardswish_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_hardswish_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -11723,6 +11718,8 @@ static void ggml_compute_forward_hardsigmoid_f32(
     const struct ggml_tensor * src0 = dst->src[0];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -11732,9 +11729,6 @@ static void ggml_compute_forward_hardsigmoid_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert(dst->nb[0]  == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         ggml_vec_hardsigmoid_f32(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -16681,7 +16675,10 @@ static void ggml_compute_forward_map_unary_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
+    assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(dst));
+    assert(ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
         return;
@@ -16690,9 +16687,6 @@ static void ggml_compute_forward_map_unary_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert( dst->nb[0] == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         fun(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
@@ -16730,6 +16724,9 @@ static void ggml_compute_forward_map_binary_f32(
     const struct ggml_tensor * src1 = dst->src[1];
 
     assert(params->ith == 0);
+    assert(ggml_is_contiguous_1(src0));
+    assert(ggml_is_contiguous_1(src1));
+    assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
     if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
@@ -16739,10 +16736,6 @@ static void ggml_compute_forward_map_binary_f32(
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
-    assert( dst->nb[0] == sizeof(float));
-    assert(src0->nb[0] == sizeof(float));
-    assert(src1->nb[0] == sizeof(float));
-
     for (int i = 0; i < n; i++) {
         fun(nc,
                 (float *) ((char *) dst->data  + i*( dst->nb[1])),
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index ce406a8af..2b48e623e 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -642,20 +642,29 @@ struct test_case {
 struct test_unary : public test_case {
     const ggml_unary_op op;
     const ggml_type type;
-    const std::array<int64_t, 4> ne;
+    const std::array<int64_t, 4> ne_a;
+    int v; // view (1 : non-contiguous a)
 
     std::string vars() override {
-        return VARS_TO_STR2(type, ne);
+        return VARS_TO_STR3(type, ne_a, v);
     }
 
     test_unary(ggml_unary_op op,
             ggml_type type = GGML_TYPE_F32,
-            std::array<int64_t, 4> ne = {128, 10, 10, 10})
-        : op(op), type(type), ne(ne) {}
+            std::array<int64_t, 4> ne_a = {128, 10, 10, 10},
+            int v = 0)
+        : op(op), type(type), ne_a(ne_a), v(v) {}
 
     ggml_tensor * build_graph(ggml_context * ctx) override {
-        ggml_tensor * in = ggml_new_tensor(ctx, type, 4, ne.data());
-        ggml_tensor * out = ggml_unary(ctx, in, op);
+        ggml_tensor * a;
+        if (v & 1) {
+            auto ne = ne_a; ne[0] *= 3;
+            a = ggml_new_tensor(ctx, type, 4, ne.data());
+            a = ggml_view_4d(ctx, a, ne_a[0], ne_a[1], ne_a[2], ne_a[3], a->nb[1], a->nb[2], a->nb[3], 0);
+        } else {
+            a = ggml_new_tensor(ctx, type, 4, ne_a.data());
+        }
+        ggml_tensor * out = ggml_unary(ctx, a, op);
         return out;
     }
 
@@ -2016,9 +2025,11 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     };
 
     // unary ops
-    for (int op = 0; op < GGML_UNARY_OP_COUNT; op++) {
-        test_cases.emplace_back(new test_unary((ggml_unary_op) op));
-        test_cases.emplace_back(new test_unary((ggml_unary_op) op, GGML_TYPE_F32, { 7, 13, 19, 23 }));
+    for (int v : {0, 1}) {
+        for (int op = 0; op < GGML_UNARY_OP_COUNT; op++) {
+            test_cases.emplace_back(new test_unary((ggml_unary_op) op, GGML_TYPE_F32, { 128, 10, 10, 10 }, v));
+            test_cases.emplace_back(new test_unary((ggml_unary_op) op, GGML_TYPE_F32, { 7, 13, 19, 23 }, v));
+        }
     }
 
     test_cases.emplace_back(new test_get_rows(GGML_TYPE_F32, 1, 8, 2, 1, false));

From 963552903f51043ee947a8deeaaa7ec00bc3f1a4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Wed, 12 Jun 2024 17:41:51 +0200
Subject: [PATCH 063/131] CUDA: fix broken oob check for FA vec f32 kernel
 (#7904)

---
 ggml-cuda/fattn-vec-f32.cuh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ggml-cuda/fattn-vec-f32.cuh b/ggml-cuda/fattn-vec-f32.cuh
index ddf0c8374..11a5e355f 100644
--- a/ggml-cuda/fattn-vec-f32.cuh
+++ b/ggml-cuda/fattn-vec-f32.cuh
@@ -149,7 +149,7 @@ static __global__ void flash_attn_vec_ext_f32(
             for (int i0 = 0; i0 < D/2; i0 += WARP_SIZE) {
                 const int i = i0 + threadIdx.x;
 
-                Q_f2[j][i0/WARP_SIZE]    = ncols <= 2 || ic0 + j ? Q_f2_j[i] : make_float2(0.0f, 0.0f);
+                Q_f2[j][i0/WARP_SIZE]    = ncols <= 2 || ic0 + j < ne01 ? Q_f2_j[i] : make_float2(0.0f, 0.0f);
                 Q_f2[j][i0/WARP_SIZE].x *= scale;
                 Q_f2[j][i0/WARP_SIZE].y *= scale;
             }

From 1c641e6aac5c18b964e7b32d9dbbb4bf5301d0d7 Mon Sep 17 00:00:00 2001
From: Olivier Chafik <ochafik@users.noreply.github.com>
Date: Thu, 13 Jun 2024 00:41:52 +0100
Subject: [PATCH 064/131] =?UTF-8?q?`build`:=20rename=20main=20=E2=86=92=20?=
 =?UTF-8?q?llama-cli,=20server=20=E2=86=92=20llama-server,=20llava-cli=20?=
 =?UTF-8?q?=E2=86=92=20llama-llava-cli,=20etc...=20(#7809)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew

* server: update refs -> llama-server

gitignore llama-server

* server: simplify nix package

* main: update refs -> llama

fix examples/main ref

* main/server: fix targets

* update more names

* Update build.yml

* rm accidentally checked in bins

* update straggling refs

* Update .gitignore

* Update server-llm.sh

* main: target name -> llama-cli

* Prefix all example bins w/ llama-

* fix main refs

* rename {main->llama}-cmake-pkg binary

* prefix more cmake targets w/ llama-

* add/fix gbnf-validator subfolder to cmake

* sort cmake example subdirs

* rm bin files

* fix llama-lookup-* Makefile rules

* gitignore /llama-*

* rename Dockerfiles

* rename llama|main -> llama-cli; consistent RPM bin prefixes

* fix some missing -cli suffixes

* rename dockerfile w/ llama-cli

* rename(make): llama-baby-llama

* update dockerfile refs

* more llama-cli(.exe)

* fix test-eval-callback

* rename: llama-cli-cmake-pkg(.exe)

* address gbnf-validator unused fread warning (switched to C++ / ifstream)

* add two missing llama- prefixes

* Updating docs for eval-callback binary to use new `llama-` prefix.

* Updating a few lingering doc references for rename of main to llama-cli

* Updating `run-with-preset.py` to use new binary names.
Updating docs around `perplexity` binary rename.

* Updating documentation references for lookup-merge and export-lora

* Updating two small `main` references missed earlier in the finetune docs.

* Update apps.nix

* update grammar/README.md w/ new llama-* names

* update llama-rpc-server bin name + doc

* Revert "update llama-rpc-server bin name + doc"

This reverts commit e474ef1df481fd8936cd7d098e3065d7de378930.

* add hot topic notice to README.md

* Update README.md

* Update README.md

* rename gguf-split & quantize bins refs in **/tests.sh

---------

Co-authored-by: HanClinto <hanclinto@gmail.com>
---
 .devops/cloud-v-pipeline                      |   2 +-
 ...a.Dockerfile => llama-cli-cuda.Dockerfile} |   6 +-
 ....Dockerfile => llama-cli-intel.Dockerfile} |   6 +-
 ...m.Dockerfile => llama-cli-rocm.Dockerfile} |   4 +-
 ...Dockerfile => llama-cli-vulkan.Dockerfile} |   6 +-
 .../{main.Dockerfile => llama-cli.Dockerfile} |   6 +-
 .devops/llama-cpp-clblast.srpm.spec           |  14 +-
 .devops/llama-cpp-cuda.srpm.spec              |  14 +-
 .devops/llama-cpp.srpm.spec                   |  14 +-
 ...ockerfile => llama-server-cuda.Dockerfile} |   6 +-
 ...ckerfile => llama-server-intel.Dockerfile} |   6 +-
 ...ockerfile => llama-server-rocm.Dockerfile} |   4 +-
 ...kerfile => llama-server-vulkan.Dockerfile} |   6 +-
 ...ver.Dockerfile => llama-server.Dockerfile} |   6 +-
 .devops/nix/apps.nix                          |   6 +-
 .devops/nix/package.nix                       |   4 +-
 .devops/tools.sh                              |  10 +-
 .dockerignore                                 |   4 +-
 .github/ISSUE_TEMPLATE/01-bug-low.yml         |   2 +-
 .github/ISSUE_TEMPLATE/02-bug-medium.yml      |   2 +-
 .github/ISSUE_TEMPLATE/03-bug-high.yml        |   2 +-
 .github/ISSUE_TEMPLATE/04-bug-critical.yml    |   2 +-
 .github/workflows/bench.yml                   |   2 +-
 .github/workflows/build.yml                   |  10 +-
 .github/workflows/docker.yml                  |  16 +-
 .github/workflows/server.yml                  |   4 +-
 .gitignore                                    |  43 +---
 Makefile                                      | 138 +++++++----
 README-sycl.md                                |  18 +-
 README.md                                     |  33 +--
 ci/run.sh                                     | 224 +++++++++---------
 docs/HOWTO-add-model.md                       |   2 +-
 docs/token_generation_performance_tips.md     |   4 +-
 examples/CMakeLists.txt                       |  47 ++--
 examples/Miku.sh                              |   2 +-
 examples/baby-llama/CMakeLists.txt            |   2 +-
 examples/base-translate.sh                    |   2 +-
 examples/batched-bench/CMakeLists.txt         |   2 +-
 examples/batched-bench/README.md              |   8 +-
 examples/batched.swift/Makefile               |   6 +-
 examples/batched.swift/Package.swift          |   4 +-
 examples/batched.swift/README.md              |   2 +-
 examples/batched/CMakeLists.txt               |   2 +-
 examples/batched/README.md                    |   2 +-
 examples/benchmark/CMakeLists.txt             |   2 +-
 examples/chat-13B.sh                          |   2 +-
 examples/chat-persistent.sh                   |  10 +-
 examples/chat-vicuna.sh                       |   2 +-
 examples/chat.sh                              |   2 +-
 .../convert-llama2c-to-ggml/CMakeLists.txt    |   2 +-
 examples/convert-llama2c-to-ggml/README.md    |   6 +-
 examples/embedding/CMakeLists.txt             |   2 +-
 examples/embedding/README.md                  |   4 +-
 examples/eval-callback/CMakeLists.txt         |   4 +-
 examples/eval-callback/README.md              |   2 +-
 examples/export-lora/CMakeLists.txt           |   2 +-
 examples/export-lora/README.md                |   4 +-
 examples/finetune/CMakeLists.txt              |   2 +-
 examples/finetune/README.md                   |  12 +-
 examples/finetune/finetune.sh                 |   2 +-
 examples/gbnf-validator/CMakeLists.txt        |   4 +-
 examples/gbnf-validator/gbnf-validator.cpp    |  36 ++-
 examples/gguf-split/CMakeLists.txt            |   2 +-
 examples/gguf-split/tests.sh                  |   4 +-
 examples/gguf/CMakeLists.txt                  |   2 +-
 examples/gritlm/CMakeLists.txt                |   2 +-
 examples/gritlm/README.md                     |   2 +-
 examples/imatrix/CMakeLists.txt               |   2 +-
 examples/imatrix/README.md                    |   6 +-
 examples/infill/CMakeLists.txt                |   2 +-
 examples/infill/README.md                     |   2 +-
 examples/jeopardy/jeopardy.sh                 |   2 +-
 examples/json-schema-pydantic-example.py      |   2 +-
 examples/json_schema_to_grammar.py            |   2 +-
 examples/llama-bench/README.md                |   2 +-
 examples/llava/CMakeLists.txt                 |  11 +-
 examples/llava/MobileVLM-README.md            |  18 +-
 examples/llava/README.md                      |  10 +-
 examples/llava/android/adb_run.sh             |   2 +-
 examples/lookahead/CMakeLists.txt             |   2 +-
 examples/lookup/CMakeLists.txt                |   8 +-
 examples/lookup/lookup-merge.cpp              |   8 +-
 examples/main-cmake-pkg/CMakeLists.txt        |   8 +-
 examples/main-cmake-pkg/README.md             |   4 +-
 examples/main/CMakeLists.txt                  |   2 +-
 examples/main/README.md                       |  24 +-
 examples/parallel/CMakeLists.txt              |   2 +-
 examples/passkey/CMakeLists.txt               |   2 +-
 examples/passkey/README.md                    |   2 +-
 examples/perplexity/CMakeLists.txt            |   2 +-
 examples/perplexity/perplexity.cpp            |   2 +-
 examples/quantize-stats/CMakeLists.txt        |   2 +-
 examples/quantize/CMakeLists.txt              |   2 +-
 examples/quantize/tests.sh                    |   6 +-
 examples/reason-act.sh                        |   2 +-
 examples/retrieval/CMakeLists.txt             |   2 +-
 examples/retrieval/README.md                  |   2 +-
 examples/rpc/README.md                        |   2 +-
 examples/save-load-state/CMakeLists.txt       |   2 +-
 examples/server-llama2-13B.sh                 |   2 +-
 examples/server/CMakeLists.txt                |   2 +-
 examples/server/README.md                     |  22 +-
 examples/server/bench/README.md               |   2 +-
 examples/server/bench/bench.py                |   2 +-
 examples/server/public_simplechat/readme.md   |   4 +-
 examples/server/tests/README.md               |   8 +-
 examples/server/tests/features/steps/steps.py |   4 +-
 examples/simple/CMakeLists.txt                |   2 +-
 examples/speculative/CMakeLists.txt           |   2 +-
 examples/sycl/CMakeLists.txt                  |   2 +-
 examples/sycl/README.md                       |   6 +-
 examples/sycl/run-llama2.sh                   |   8 +-
 examples/tokenize/CMakeLists.txt              |   2 +-
 .../train-text-from-scratch/CMakeLists.txt    |   2 +-
 examples/train-text-from-scratch/README.md    |   4 +-
 flake.nix                                     |   2 +-
 grammars/README.md                            |  14 +-
 pocs/vdot/CMakeLists.txt                      |   4 +-
 scripts/get-hellaswag.sh                      |   2 +-
 scripts/get-wikitext-103.sh                   |   2 +-
 scripts/get-wikitext-2.sh                     |   2 +-
 scripts/get-winogrande.sh                     |   2 +-
 scripts/hf.sh                                 |   6 +-
 scripts/pod-llama.sh                          |  56 ++---
 scripts/qnt-all.sh                            |   2 +-
 scripts/run-all-ppl.sh                        |   2 +-
 scripts/run-with-preset.py                    |  16 +-
 scripts/server-llm.sh                         |   8 +-
 128 files changed, 578 insertions(+), 578 deletions(-)
 rename .devops/{main-cuda.Dockerfile => llama-cli-cuda.Dockerfile} (88%)
 rename .devops/{main-intel.Dockerfile => llama-cli-intel.Dockerfile} (78%)
 rename .devops/{main-rocm.Dockerfile => llama-cli-rocm.Dockerfile} (94%)
 rename .devops/{main-vulkan.Dockerfile => llama-cli-vulkan.Dockerfile} (81%)
 rename .devops/{main.Dockerfile => llama-cli.Dockerfile} (72%)
 rename .devops/{server-cuda.Dockerfile => llama-server-cuda.Dockerfile} (88%)
 rename .devops/{server-intel.Dockerfile => llama-server-intel.Dockerfile} (80%)
 rename .devops/{server-rocm.Dockerfile => llama-server-rocm.Dockerfile} (94%)
 rename .devops/{server-vulkan.Dockerfile => llama-server-vulkan.Dockerfile} (82%)
 rename .devops/{server.Dockerfile => llama-server.Dockerfile} (74%)

diff --git a/.devops/cloud-v-pipeline b/.devops/cloud-v-pipeline
index f3a4944f8..af8c0cea6 100644
--- a/.devops/cloud-v-pipeline
+++ b/.devops/cloud-v-pipeline
@@ -15,7 +15,7 @@ node('x86_runner1'){            // Running on x86 runner containing latest vecto
     stage('Running llama.cpp'){
         sh'''#!/bin/bash
             module load gnu-bin2/0.1            # loading latest versions of vector qemu and vector gcc
-            qemu-riscv64 -L /softwares/gnu-bin2/sysroot  -cpu rv64,v=true,vlen=256,elen=64,vext_spec=v1.0 ./main -m /home/alitariq/codellama-7b.Q4_K_M.gguf -p "Anything" -n 9 > llama_log.txt            # Running llama.cpp on vector qemu-riscv64
+            qemu-riscv64 -L /softwares/gnu-bin2/sysroot  -cpu rv64,v=true,vlen=256,elen=64,vext_spec=v1.0 ./llama-cli -m /home/alitariq/codellama-7b.Q4_K_M.gguf -p "Anything" -n 9 > llama_log.txt            # Running llama.cpp on vector qemu-riscv64
             cat llama_log.txt                   # Printing results
         '''
     }
diff --git a/.devops/main-cuda.Dockerfile b/.devops/llama-cli-cuda.Dockerfile
similarity index 88%
rename from .devops/main-cuda.Dockerfile
rename to .devops/llama-cli-cuda.Dockerfile
index 2aec4a85d..d5ce538f6 100644
--- a/.devops/main-cuda.Dockerfile
+++ b/.devops/llama-cli-cuda.Dockerfile
@@ -23,13 +23,13 @@ ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
 # Enable CUDA
 ENV LLAMA_CUDA=1
 
-RUN make -j$(nproc) main
+RUN make -j$(nproc) llama-cli
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
 RUN apt-get update && \
     apt-get install -y libgomp1
 
-COPY --from=build /app/main /main
+COPY --from=build /app/llama-cli /llama-cli
 
-ENTRYPOINT [ "/main" ]
+ENTRYPOINT [ "/llama-cli" ]
diff --git a/.devops/main-intel.Dockerfile b/.devops/llama-cli-intel.Dockerfile
similarity index 78%
rename from .devops/main-intel.Dockerfile
rename to .devops/llama-cli-intel.Dockerfile
index b7992f47b..6789e17af 100644
--- a/.devops/main-intel.Dockerfile
+++ b/.devops/llama-cli-intel.Dockerfile
@@ -15,12 +15,12 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
         export OPT_SYCL_F16="-DLLAMA_SYCL_F16=ON"; \
     fi && \
     cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx ${OPT_SYCL_F16} && \
-    cmake --build build --config Release --target main
+    cmake --build build --config Release --target llama-cli
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
 
-COPY --from=build /app/build/bin/main /main
+COPY --from=build /app/build/bin/llama-cli /llama-cli
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/main" ]
+ENTRYPOINT [ "/llama-cli" ]
diff --git a/.devops/main-rocm.Dockerfile b/.devops/llama-cli-rocm.Dockerfile
similarity index 94%
rename from .devops/main-rocm.Dockerfile
rename to .devops/llama-cli-rocm.Dockerfile
index dcaeb3e72..7e8a6f0fa 100644
--- a/.devops/main-rocm.Dockerfile
+++ b/.devops/llama-cli-rocm.Dockerfile
@@ -40,6 +40,6 @@ ENV LLAMA_HIPBLAS=1
 ENV CC=/opt/rocm/llvm/bin/clang
 ENV CXX=/opt/rocm/llvm/bin/clang++
 
-RUN make -j$(nproc) main
+RUN make -j$(nproc) llama-cli
 
-ENTRYPOINT [ "/app/main" ]
+ENTRYPOINT [ "/app/llama-cli" ]
diff --git a/.devops/main-vulkan.Dockerfile b/.devops/llama-cli-vulkan.Dockerfile
similarity index 81%
rename from .devops/main-vulkan.Dockerfile
rename to .devops/llama-cli-vulkan.Dockerfile
index 1bdb52803..7a0abe71f 100644
--- a/.devops/main-vulkan.Dockerfile
+++ b/.devops/llama-cli-vulkan.Dockerfile
@@ -15,13 +15,13 @@ RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key
 WORKDIR /app
 COPY . .
 RUN cmake -B build -DLLAMA_VULKAN=1 && \
-    cmake --build build --config Release --target main
+    cmake --build build --config Release --target llama-cli
 
 # Clean up
 WORKDIR /
-RUN cp /app/build/bin/main /main && \
+RUN cp /app/build/bin/llama-cli /llama-cli && \
     rm -rf /app
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/main" ]
+ENTRYPOINT [ "/llama-cli" ]
diff --git a/.devops/main.Dockerfile b/.devops/llama-cli.Dockerfile
similarity index 72%
rename from .devops/main.Dockerfile
rename to .devops/llama-cli.Dockerfile
index d2514c4ba..38382bfc9 100644
--- a/.devops/main.Dockerfile
+++ b/.devops/llama-cli.Dockerfile
@@ -9,15 +9,15 @@ WORKDIR /app
 
 COPY . .
 
-RUN make -j$(nproc) main
+RUN make -j$(nproc) llama-cli
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
 RUN apt-get update && \
     apt-get install -y libgomp1
 
-COPY --from=build /app/main /main
+COPY --from=build /app/llama-cli /llama-cli
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/main" ]
+ENTRYPOINT [ "/llama-cli" ]
diff --git a/.devops/llama-cpp-clblast.srpm.spec b/.devops/llama-cpp-clblast.srpm.spec
index 774f63ddd..013952191 100644
--- a/.devops/llama-cpp-clblast.srpm.spec
+++ b/.devops/llama-cpp-clblast.srpm.spec
@@ -36,9 +36,9 @@ make -j LLAMA_CLBLAST=1
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p main %{buildroot}%{_bindir}/llamaclblast
-cp -p server %{buildroot}%{_bindir}/llamaclblastserver
-cp -p simple %{buildroot}%{_bindir}/llamaclblastsimple
+cp -p llama-cli %{buildroot}%{_bindir}/llama-clblast-cli
+cp -p llama-server %{buildroot}%{_bindir}/llama-clblast-server
+cp -p llama-simple %{buildroot}%{_bindir}/llama-clblast-simple
 
 mkdir -p %{buildroot}/usr/lib/systemd/system
 %{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llamaclblast.service
@@ -49,7 +49,7 @@ After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.t
 [Service]
 Type=simple
 EnvironmentFile=/etc/sysconfig/llama
-ExecStart=/usr/bin/llamaclblastserver $LLAMA_ARGS
+ExecStart=/usr/bin/llama-clblast-server $LLAMA_ARGS
 ExecReload=/bin/kill -s HUP $MAINPID
 Restart=never
 
@@ -67,9 +67,9 @@ rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llamaclblast
-%{_bindir}/llamaclblastserver
-%{_bindir}/llamaclblastsimple
+%{_bindir}/llama-clblast-cli
+%{_bindir}/llama-clblast-server
+%{_bindir}/llama-clblast-simple
 /usr/lib/systemd/system/llamaclblast.service
 %config /etc/sysconfig/llama
 
diff --git a/.devops/llama-cpp-cuda.srpm.spec b/.devops/llama-cpp-cuda.srpm.spec
index ba9cb7cbb..cbdf43626 100644
--- a/.devops/llama-cpp-cuda.srpm.spec
+++ b/.devops/llama-cpp-cuda.srpm.spec
@@ -36,9 +36,9 @@ make -j LLAMA_CUDA=1
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p main %{buildroot}%{_bindir}/llamacppcuda
-cp -p server %{buildroot}%{_bindir}/llamacppcudaserver
-cp -p simple %{buildroot}%{_bindir}/llamacppcudasimple
+cp -p llama-cli %{buildroot}%{_bindir}/llama-cuda-cli
+cp -p llama-server %{buildroot}%{_bindir}/llama-cuda-server
+cp -p llama-simple %{buildroot}%{_bindir}/llama-cuda-simple
 
 mkdir -p %{buildroot}/usr/lib/systemd/system
 %{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llamacuda.service
@@ -49,7 +49,7 @@ After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.t
 [Service]
 Type=simple
 EnvironmentFile=/etc/sysconfig/llama
-ExecStart=/usr/bin/llamacppcudaserver $LLAMA_ARGS
+ExecStart=/usr/bin/llama-cuda-server $LLAMA_ARGS
 ExecReload=/bin/kill -s HUP $MAINPID
 Restart=never
 
@@ -67,9 +67,9 @@ rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llamacppcuda
-%{_bindir}/llamacppcudaserver
-%{_bindir}/llamacppcudasimple
+%{_bindir}/llama-cuda-cli
+%{_bindir}/llama-cuda-server
+%{_bindir}/llama-cuda-simple
 /usr/lib/systemd/system/llamacuda.service
 %config /etc/sysconfig/llama
 
diff --git a/.devops/llama-cpp.srpm.spec b/.devops/llama-cpp.srpm.spec
index 1d9e4f425..4d5560089 100644
--- a/.devops/llama-cpp.srpm.spec
+++ b/.devops/llama-cpp.srpm.spec
@@ -38,9 +38,9 @@ make -j
 
 %install
 mkdir -p %{buildroot}%{_bindir}/
-cp -p main %{buildroot}%{_bindir}/llama
-cp -p server %{buildroot}%{_bindir}/llamaserver
-cp -p simple %{buildroot}%{_bindir}/llamasimple
+cp -p llama-cli %{buildroot}%{_bindir}/llama-cli
+cp -p llama-server %{buildroot}%{_bindir}/llama-server
+cp -p llama-simple %{buildroot}%{_bindir}/llama-simple
 
 mkdir -p %{buildroot}/usr/lib/systemd/system
 %{__cat} <<EOF  > %{buildroot}/usr/lib/systemd/system/llama.service
@@ -51,7 +51,7 @@ After=syslog.target network.target local-fs.target remote-fs.target nss-lookup.t
 [Service]
 Type=simple
 EnvironmentFile=/etc/sysconfig/llama
-ExecStart=/usr/bin/llamaserver $LLAMA_ARGS
+ExecStart=/usr/bin/llama-server $LLAMA_ARGS
 ExecReload=/bin/kill -s HUP $MAINPID
 Restart=never
 
@@ -69,9 +69,9 @@ rm -rf %{buildroot}
 rm -rf %{_builddir}/*
 
 %files
-%{_bindir}/llama
-%{_bindir}/llamaserver
-%{_bindir}/llamasimple
+%{_bindir}/llama-cli
+%{_bindir}/llama-server
+%{_bindir}/llama-simple
 /usr/lib/systemd/system/llama.service
 %config /etc/sysconfig/llama
 
diff --git a/.devops/server-cuda.Dockerfile b/.devops/llama-server-cuda.Dockerfile
similarity index 88%
rename from .devops/server-cuda.Dockerfile
rename to .devops/llama-server-cuda.Dockerfile
index 4e9747b82..0010ffd4c 100644
--- a/.devops/server-cuda.Dockerfile
+++ b/.devops/llama-server-cuda.Dockerfile
@@ -25,13 +25,13 @@ ENV LLAMA_CUDA=1
 # Enable cURL
 ENV LLAMA_CURL=1
 
-RUN make -j$(nproc) server
+RUN make -j$(nproc) llama-server
 
 FROM ${BASE_CUDA_RUN_CONTAINER} as runtime
 
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev libgomp1
 
-COPY --from=build /app/server /server
+COPY --from=build /app/llama-server /llama-server
 
-ENTRYPOINT [ "/server" ]
+ENTRYPOINT [ "/llama-server" ]
diff --git a/.devops/server-intel.Dockerfile b/.devops/llama-server-intel.Dockerfile
similarity index 80%
rename from .devops/server-intel.Dockerfile
rename to .devops/llama-server-intel.Dockerfile
index c5adcb6da..cec436452 100644
--- a/.devops/server-intel.Dockerfile
+++ b/.devops/llama-server-intel.Dockerfile
@@ -15,15 +15,15 @@ RUN if [ "${LLAMA_SYCL_F16}" = "ON" ]; then \
         export OPT_SYCL_F16="-DLLAMA_SYCL_F16=ON"; \
     fi && \
     cmake -B build -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DLLAMA_CURL=ON ${OPT_SYCL_F16} && \
-    cmake --build build --config Release --target server
+    cmake --build build --config Release --target llama-server
 
 FROM intel/oneapi-basekit:$ONEAPI_VERSION as runtime
 
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 
-COPY --from=build /app/build/bin/server /server
+COPY --from=build /app/build/bin/llama-server /llama-server
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/server" ]
+ENTRYPOINT [ "/llama-server" ]
diff --git a/.devops/server-rocm.Dockerfile b/.devops/llama-server-rocm.Dockerfile
similarity index 94%
rename from .devops/server-rocm.Dockerfile
rename to .devops/llama-server-rocm.Dockerfile
index a6b76dee8..f88cf20e5 100644
--- a/.devops/server-rocm.Dockerfile
+++ b/.devops/llama-server-rocm.Dockerfile
@@ -45,6 +45,6 @@ ENV LLAMA_CURL=1
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev
 
-RUN make -j$(nproc)
+RUN make -j$(nproc) llama-server
 
-ENTRYPOINT [ "/app/server" ]
+ENTRYPOINT [ "/app/llama-server" ]
diff --git a/.devops/server-vulkan.Dockerfile b/.devops/llama-server-vulkan.Dockerfile
similarity index 82%
rename from .devops/server-vulkan.Dockerfile
rename to .devops/llama-server-vulkan.Dockerfile
index 6e757e171..b0fa0b8e6 100644
--- a/.devops/server-vulkan.Dockerfile
+++ b/.devops/llama-server-vulkan.Dockerfile
@@ -19,13 +19,13 @@ RUN apt-get update && \
 WORKDIR /app
 COPY . .
 RUN cmake -B build -DLLAMA_VULKAN=1 -DLLAMA_CURL=1 && \
-    cmake --build build --config Release --target server
+    cmake --build build --config Release --target llama-server
 
 # Clean up
 WORKDIR /
-RUN cp /app/build/bin/server /server && \
+RUN cp /app/build/bin/llama-server /llama-server && \
     rm -rf /app
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/server" ]
+ENTRYPOINT [ "/llama-server" ]
diff --git a/.devops/server.Dockerfile b/.devops/llama-server.Dockerfile
similarity index 74%
rename from .devops/server.Dockerfile
rename to .devops/llama-server.Dockerfile
index bee63b966..aa93369be 100644
--- a/.devops/server.Dockerfile
+++ b/.devops/llama-server.Dockerfile
@@ -11,15 +11,15 @@ COPY . .
 
 ENV LLAMA_CURL=1
 
-RUN make -j$(nproc) server
+RUN make -j$(nproc) llama-server
 
 FROM ubuntu:$UBUNTU_VERSION as runtime
 
 RUN apt-get update && \
     apt-get install -y libcurl4-openssl-dev libgomp1
 
-COPY --from=build /app/server /server
+COPY --from=build /app/llama-server /llama-server
 
 ENV LC_ALL=C.utf8
 
-ENTRYPOINT [ "/server" ]
+ENTRYPOINT [ "/llama-server" ]
diff --git a/.devops/nix/apps.nix b/.devops/nix/apps.nix
index b8a12cc0a..897fce4d3 100644
--- a/.devops/nix/apps.nix
+++ b/.devops/nix/apps.nix
@@ -6,11 +6,11 @@
         let
           inherit (config.packages) default;
           binaries = [
-            "llama"
+            "llama-cli"
             "llama-embedding"
             "llama-server"
-            "quantize"
-            "train-text-from-scratch"
+            "llama-quantize"
+            "llama-train-text-from-scratch"
           ];
           mkApp = name: {
             type = "app";
diff --git a/.devops/nix/package.nix b/.devops/nix/package.nix
index e8d5b0bd9..87bb3a20f 100644
--- a/.devops/nix/package.nix
+++ b/.devops/nix/package.nix
@@ -243,8 +243,6 @@ effectiveStdenv.mkDerivation (
     # TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
     # if they haven't been added yet.
     postInstall = ''
-      mv $out/bin/main${executableSuffix} $out/bin/llama${executableSuffix}
-      mv $out/bin/server${executableSuffix} $out/bin/llama-server${executableSuffix}
       mkdir -p $out/include
       cp $src/llama.h $out/include/
     '';
@@ -294,7 +292,7 @@ effectiveStdenv.mkDerivation (
       license = lib.licenses.mit;
 
       # Accommodates `nix run` and `lib.getExe`
-      mainProgram = "llama";
+      mainProgram = "llama-cli";
 
       # These people might respond, on the best effort basis, if you ping them
       # in case of Nix-specific regressions or for reviewing Nix-specific PRs.
diff --git a/.devops/tools.sh b/.devops/tools.sh
index 97424c3aa..335382f69 100755
--- a/.devops/tools.sh
+++ b/.devops/tools.sh
@@ -10,11 +10,11 @@ shift
 if [[ "$arg1" == '--convert' || "$arg1" == '-c' ]]; then
     python3 ./convert-hf-to-gguf.py "$@"
 elif [[ "$arg1" == '--quantize' || "$arg1" == '-q' ]]; then
-    ./quantize "$@"
+    ./llama-quantize "$@"
 elif [[ "$arg1" == '--run' || "$arg1" == '-r' ]]; then
-    ./main "$@"
+    ./llama-cli "$@"
 elif [[ "$arg1" == '--finetune' || "$arg1" == '-f' ]]; then
-    ./finetune "$@"
+    ./llama-finetune "$@"
 elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then
     echo "Converting PTH to GGML..."
     for i in `ls $1/$2/ggml-model-f16.bin*`; do
@@ -22,11 +22,11 @@ elif [[ "$arg1" == '--all-in-one' || "$arg1" == '-a' ]]; then
             echo "Skip model quantization, it already exists: ${i/f16/q4_0}"
         else
             echo "Converting PTH to GGML: $i into ${i/f16/q4_0}..."
-            ./quantize "$i" "${i/f16/q4_0}" q4_0
+            ./llama-quantize "$i" "${i/f16/q4_0}" q4_0
         fi
     done
 elif [[ "$arg1" == '--server' || "$arg1" == '-s' ]]; then
-    ./server "$@"
+    ./llama-server "$@"
 else
     echo "Unknown command: $arg1"
     echo "Available commands: "
diff --git a/.dockerignore b/.dockerignore
index 633bbc3a9..8916e2a66 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -12,8 +12,8 @@ build*/
 
 models/*
 
-/main
-/quantize
+/llama-cli
+/llama-quantize
 
 arm_neon.h
 compile_commands.json
diff --git a/.github/ISSUE_TEMPLATE/01-bug-low.yml b/.github/ISSUE_TEMPLATE/01-bug-low.yml
index bfb9d9a06..54785854f 100644
--- a/.github/ISSUE_TEMPLATE/01-bug-low.yml
+++ b/.github/ISSUE_TEMPLATE/01-bug-low.yml
@@ -24,7 +24,7 @@ body:
       label: Name and Version
       description: Which executable and which version of our software are you running? (use `--version` to get a version string)
       placeholder: |
-        $./main --version
+        $./llama-cli --version
         version: 2999 (42b4109e)
         built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
     validations:
diff --git a/.github/ISSUE_TEMPLATE/02-bug-medium.yml b/.github/ISSUE_TEMPLATE/02-bug-medium.yml
index e8297eea0..a6285c6f0 100644
--- a/.github/ISSUE_TEMPLATE/02-bug-medium.yml
+++ b/.github/ISSUE_TEMPLATE/02-bug-medium.yml
@@ -24,7 +24,7 @@ body:
       label: Name and Version
       description: Which executable and which version of our software are you running? (use `--version` to get a version string)
       placeholder: |
-        $./main --version
+        $./llama-cli --version
         version: 2999 (42b4109e)
         built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
     validations:
diff --git a/.github/ISSUE_TEMPLATE/03-bug-high.yml b/.github/ISSUE_TEMPLATE/03-bug-high.yml
index 3c9d50d16..ff816b937 100644
--- a/.github/ISSUE_TEMPLATE/03-bug-high.yml
+++ b/.github/ISSUE_TEMPLATE/03-bug-high.yml
@@ -24,7 +24,7 @@ body:
       label: Name and Version
       description: Which executable and which version of our software are you running? (use `--version` to get a version string)
       placeholder: |
-        $./main --version
+        $./llama-cli --version
         version: 2999 (42b4109e)
         built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
     validations:
diff --git a/.github/ISSUE_TEMPLATE/04-bug-critical.yml b/.github/ISSUE_TEMPLATE/04-bug-critical.yml
index d089d5fa1..7af42a80b 100644
--- a/.github/ISSUE_TEMPLATE/04-bug-critical.yml
+++ b/.github/ISSUE_TEMPLATE/04-bug-critical.yml
@@ -24,7 +24,7 @@ body:
       label: Name and Version
       description: Which executable and which version of our software are you running? (use `--version` to get a version string)
       placeholder: |
-        $./main --version
+        $./llama-cli --version
         version: 2999 (42b4109e)
         built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
     validations:
diff --git a/.github/workflows/bench.yml b/.github/workflows/bench.yml
index de0d994c8..88ab4844e 100644
--- a/.github/workflows/bench.yml
+++ b/.github/workflows/bench.yml
@@ -119,7 +119,7 @@ jobs:
               -DLLAMA_FATAL_WARNINGS=OFF \
               -DLLAMA_ALL_WARNINGS=OFF \
               -DCMAKE_BUILD_TYPE=Release;
-          cmake --build build --config Release -j $(nproc) --target server
+          cmake --build build --config Release -j $(nproc) --target llama-server
 
       - name: Download the dataset
         id: download_dataset
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 3c04cfc29..81ce770cc 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -103,12 +103,10 @@ jobs:
         id: cmake_build
         run: |
           sysctl -a
-          mkdir build
-          cd build
           # Metal is disabled due to intermittent failures with Github runners not having a GPU:
           # https://github.com/ggerganov/llama.cpp/actions/runs/8635935781/job/23674807267#step:5:2313
-          cmake -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_METAL=OFF -DLLAMA_CURL=ON ..
-          cmake --build . --config Release -j $(sysctl -n hw.logicalcpu)
+          cmake -B build -DLLAMA_FATAL_WARNINGS=ON -DLLAMA_METAL=OFF -DLLAMA_CURL=ON
+          cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
 
       - name: Test
         id: cmake_test
@@ -241,8 +239,8 @@ jobs:
           wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
           echo "Fetch llama2c model"
           wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
-          ./bin/convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
-          ./bin/main -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
+          ./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
+          ./bin/llama-cli -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
 
       - name: Determine tag name
         id: tag
diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
index 9b03d19bc..6244b4812 100644
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -30,20 +30,20 @@ jobs:
     strategy:
       matrix:
         config:
-          - { tag: "light", dockerfile: ".devops/main.Dockerfile", platforms: "linux/amd64,linux/arm64" }
+          - { tag: "light", dockerfile: ".devops/llama-cli.Dockerfile", platforms: "linux/amd64,linux/arm64" }
+          - { tag: "server", dockerfile: ".devops/llama-server.Dockerfile", platforms: "linux/amd64,linux/arm64" }
           - { tag: "full", dockerfile: ".devops/full.Dockerfile", platforms: "linux/amd64,linux/arm64" }
-          - { tag: "server", dockerfile: ".devops/server.Dockerfile", platforms: "linux/amd64,linux/arm64" }
           # NOTE(canardletter): The CUDA builds on arm64 are very slow, so I
           #                     have disabled them for now until the reason why
           #                     is understood.
-          - { tag: "light-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platforms: "linux/amd64" }
+          - { tag: "light-cuda", dockerfile: ".devops/llama-cli-cuda.Dockerfile", platforms: "linux/amd64" }
+          - { tag: "server-cuda", dockerfile: ".devops/llama-server-cuda.Dockerfile", platforms: "linux/amd64" }
           - { tag: "full-cuda", dockerfile: ".devops/full-cuda.Dockerfile", platforms: "linux/amd64" }
-          - { tag: "server-cuda", dockerfile: ".devops/server-cuda.Dockerfile", platforms: "linux/amd64" }
-          - { tag: "light-rocm", dockerfile: ".devops/main-rocm.Dockerfile", platforms: "linux/amd64,linux/arm64" }
+          - { tag: "light-rocm", dockerfile: ".devops/llama-cli-rocm.Dockerfile", platforms: "linux/amd64,linux/arm64" }
+          - { tag: "server-rocm", dockerfile: ".devops/llama-server-rocm.Dockerfile", platforms: "linux/amd64,linux/arm64" }
           - { tag: "full-rocm", dockerfile: ".devops/full-rocm.Dockerfile", platforms: "linux/amd64,linux/arm64" }
-          - { tag: "server-rocm", dockerfile: ".devops/server-rocm.Dockerfile", platforms: "linux/amd64,linux/arm64" }
-          - { tag: "light-intel", dockerfile: ".devops/main-intel.Dockerfile", platforms: "linux/amd64" }
-          - { tag: "server-intel", dockerfile: ".devops/server-intel.Dockerfile", platforms: "linux/amd64" }
+          - { tag: "light-intel", dockerfile: ".devops/llama-cli-intel.Dockerfile", platforms: "linux/amd64" }
+          - { tag: "server-intel", dockerfile: ".devops/llama-server-intel.Dockerfile", platforms: "linux/amd64" }
     steps:
       - name: Check out the repo
         uses: actions/checkout@v4
diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index 0d16ef5f1..1fee9ac28 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -96,7 +96,7 @@ jobs:
               -DLLAMA_CURL=ON \
               -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \
               -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON ;
-          cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target server
+          cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
 
       - name: Tests
         id: server_integration_tests
@@ -136,7 +136,7 @@ jobs:
         id: cmake_build
         run: |
           cmake -B build -DLLAMA_CURL=ON -DCURL_LIBRARY="$env:RUNNER_TEMP/libcurl/lib/libcurl.dll.a" -DCURL_INCLUDE_DIR="$env:RUNNER_TEMP/libcurl/include"
-          cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS} --target server
+          cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS} --target llama-server
 
       - name: Python setup
         id: setup_python
diff --git a/.gitignore b/.gitignore
index 5223c6963..529659495 100644
--- a/.gitignore
+++ b/.gitignore
@@ -46,48 +46,9 @@ models/*
 models-mnt
 
 /Pipfile
-/baby-llama
-/beam-search
-/benchmark-matmult
-/convert-llama2c-to-ggml
-/embd-input-test
-/embedding
-/eval-callback
-/gguf
-/gguf-llama-simple
-/gguf-split
-/gritlm
-/imatrix
-/infill
 /libllama.so
-/llama-bench
-/llava-cli
-/lookahead
-/lookup
-/lookup-create
-/lookup-merge
-/lookup-stats
-/main
-/metal
-/passkey
-/perplexity
-/q8dot
-/quantize
-/quantize-stats
-/result
-/save-load-state
-/server
-/simple
-/batched
-/batched-bench
-/export-lora
-/finetune
-/retrieval
-/speculative
-/parallel
-/train-text-from-scratch
-/tokenize
-/vdot
+/llama-*
+llama-batched-swift
 /common/build-info.cpp
 arm_neon.h
 compile_commands.json
diff --git a/Makefile b/Makefile
index 895c62f84..a4cab1bb2 100644
--- a/Makefile
+++ b/Makefile
@@ -1,8 +1,44 @@
 # Define the default target now so that it is always the first target
 BUILD_TARGETS = \
-	main quantize quantize-stats perplexity imatrix embedding vdot q8dot train-text-from-scratch convert-llama2c-to-ggml \
-	simple batched batched-bench save-load-state server gguf gguf-split eval-callback llama-bench libllava.a llava-cli baby-llama \
-	retrieval speculative infill tokenize benchmark-matmult parallel finetune export-lora lookahead lookup passkey gritlm tests/test-c.o
+	libllava.a \
+	llama-baby-llama \
+	llama-batched \
+	llama-batched-bench \
+	llama-bench \
+	llama-benchmark-matmult \
+	llama-cli \
+	llama-convert-llama2c-to-ggml \
+	llama-embedding \
+	llama-eval-callback \
+	llama-export-lora \
+	llama-finetune \
+	llama-gbnf-validator \
+	llama-gguf \
+	llama-gguf-split \
+	llama-gritlm \
+	llama-imatrix \
+	llama-infill \
+	llama-llava-cli \
+	llama-lookahead \
+	llama-lookup \
+	llama-lookup-create \
+	llama-lookup-merge \
+	llama-lookup-stats \
+	llama-parallel \
+	llama-passkey \
+	llama-perplexity \
+	llama-q8dot \
+	llama-quantize \
+	llama-quantize-stats \
+	llama-retrieval \
+	llama-save-load-state \
+	llama-server \
+	llama-simple \
+	llama-speculative \
+	llama-tokenize \
+	llama-train-text-from-scratch \
+	llama-vdot \
+	tests/test-c.o
 
 # Binaries only useful for tests
 TEST_TARGETS = \
@@ -777,7 +813,7 @@ libllama.a: llama.o ggml.o $(OBJS) $(COMMON_DEPS)
 	ar rcs libllama.a llama.o ggml.o $(OBJS) $(COMMON_DEPS)
 
 clean:
-	rm -vrf *.o tests/*.o *.so *.a *.dll benchmark-matmult lookup-create lookup-merge lookup-stats common/build-info.cpp *.dot $(COV_TARGETS) $(BUILD_TARGETS) $(TEST_TARGETS)
+	rm -vrf *.o tests/*.o *.so *.a *.dll common/build-info.cpp *.dot $(COV_TARGETS) $(BUILD_TARGETS) $(TEST_TARGETS)
 	rm -vrf ggml-cuda/*.o
 	rm -vrf ggml-cuda/template-instances/*.o
 	find examples pocs -type f -name "*.o" -delete
@@ -793,62 +829,62 @@ clean:
 # Helper function that replaces .c, .cpp, and .cu file endings with .o:
 GET_OBJ_FILE = $(patsubst %.c,%.o,$(patsubst %.cpp,%.o,$(patsubst %.cu,%.o,$(1))))
 
-main: examples/main/main.cpp                                  ggml.o llama.o $(COMMON_DEPS) console.o grammar-parser.o $(OBJS)
+llama-cli: examples/main/main.cpp                                  ggml.o llama.o $(COMMON_DEPS) console.o grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 	@echo
-	@echo '====  Run ./main -h for help.  ===='
+	@echo '====  Run ./llama-cli -h for help.  ===='
 	@echo
 
-infill: examples/infill/infill.cpp                            ggml.o llama.o $(COMMON_DEPS) console.o grammar-parser.o $(OBJS)
+llama-infill: examples/infill/infill.cpp                            ggml.o llama.o $(COMMON_DEPS) console.o grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-simple: examples/simple/simple.cpp                            ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-simple: examples/simple/simple.cpp                            ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-tokenize: examples/tokenize/tokenize.cpp                      ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-tokenize: examples/tokenize/tokenize.cpp                      ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-batched: examples/batched/batched.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-batched: examples/batched/batched.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-batched-bench: examples/batched-bench/batched-bench.cpp       build-info.o ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-batched-bench: examples/batched-bench/batched-bench.cpp       build-info.o ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-quantize: examples/quantize/quantize.cpp                      ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-quantize: examples/quantize/quantize.cpp                      ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-quantize-stats: examples/quantize-stats/quantize-stats.cpp    build-info.o ggml.o llama.o $(OBJS)
+llama-quantize-stats: examples/quantize-stats/quantize-stats.cpp    build-info.o ggml.o llama.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-perplexity: examples/perplexity/perplexity.cpp                ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-perplexity: examples/perplexity/perplexity.cpp                ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-imatrix: examples/imatrix/imatrix.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-imatrix: examples/imatrix/imatrix.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-embedding: examples/embedding/embedding.cpp                   ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-embedding: examples/embedding/embedding.cpp                   ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-gritlm: examples/gritlm/gritlm.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-gritlm: examples/gritlm/gritlm.cpp                         ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-save-load-state: examples/save-load-state/save-load-state.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-save-load-state: examples/save-load-state/save-load-state.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-server: examples/server/server.cpp examples/server/utils.hpp examples/server/httplib.h common/json.hpp examples/server/colorthemes.css.hpp examples/server/style.css.hpp examples/server/theme-beeninorder.css.hpp examples/server/theme-ketivah.css.hpp examples/server/theme-mangotango.css.hpp examples/server/theme-playground.css.hpp examples/server/theme-polarnight.css.hpp examples/server/theme-snowstorm.css.hpp examples/server/index.html.hpp examples/server/index-new.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/server/system-prompts.js.hpp examples/server/prompt-formats.js.hpp examples/server/json-schema-to-grammar.mjs.hpp common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
+llama-server: examples/server/server.cpp examples/server/utils.hpp examples/server/httplib.h common/json.hpp examples/server/colorthemes.css.hpp examples/server/style.css.hpp examples/server/theme-beeninorder.css.hpp examples/server/theme-ketivah.css.hpp examples/server/theme-mangotango.css.hpp examples/server/theme-playground.css.hpp examples/server/theme-polarnight.css.hpp examples/server/theme-snowstorm.css.hpp examples/server/index.html.hpp examples/server/index-new.html.hpp examples/server/index.js.hpp examples/server/completion.js.hpp examples/server/system-prompts.js.hpp examples/server/prompt-formats.js.hpp examples/server/json-schema-to-grammar.mjs.hpp common/stb_image.h ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h %.hpp $<,$^) -Iexamples/server $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS) $(LWINSOCK2)
 
@@ -861,23 +897,23 @@ examples/server/%.hpp: examples/server/public/% Makefile
 		echo "unsigned int $${NAME}_len = $(shell cat $< | wc -c );" \
 	) > $@
 
-gguf: examples/gguf/gguf.cpp ggml.o $(OBJS)
+llama-gguf: examples/gguf/gguf.cpp ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-gguf-split: examples/gguf-split/gguf-split.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-gguf-split: examples/gguf-split/gguf-split.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-eval-callback: examples/eval-callback/eval-callback.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-eval-callback: examples/eval-callback/eval-callback.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
+llama-train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-convert-llama2c-to-ggml: examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp ggml.o llama.o $(OBJS)
+llama-convert-llama2c-to-ggml: examples/convert-llama2c-to-ggml/convert-llama2c-to-ggml.cpp ggml.o llama.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
@@ -888,55 +924,61 @@ llama-bench: examples/llama-bench/llama-bench.cpp ggml.o llama.o $(COMMON_DEPS)
 libllava.a: examples/llava/llava.cpp examples/llava/llava.h examples/llava/clip.cpp examples/llava/clip.h common/stb_image.h common/base64.hpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -static -fPIC -c $< -o $@ -Wno-cast-qual
 
-llava-cli: examples/llava/llava-cli.cpp examples/llava/clip.h examples/llava/clip.cpp examples/llava/llava.h examples/llava/llava.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-llava-cli: examples/llava/llava-cli.cpp examples/llava/clip.h examples/llava/clip.cpp examples/llava/llava.h examples/llava/llava.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) -c examples/llava/clip.cpp  -o $(call GET_OBJ_FILE, examples/llava/clip.cpp) -Wno-cast-qual
 	$(CXX) $(CXXFLAGS) -c examples/llava/llava.cpp -o $(call GET_OBJ_FILE, examples/llava/llava.cpp)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $< examples/llava/clip.cpp examples/llava/llava.cpp,$^) $(call GET_OBJ_FILE, $<) $(call GET_OBJ_FILE, examples/llava/clip.cpp) $(call GET_OBJ_FILE, examples/llava/llava.cpp) -o $@ $(LDFLAGS)
 
-baby-llama: examples/baby-llama/baby-llama.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
+llama-baby-llama: examples/baby-llama/baby-llama.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-finetune: examples/finetune/finetune.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
+llama-finetune: examples/finetune/finetune.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-export-lora: examples/export-lora/export-lora.cpp ggml.o common/common.h $(OBJS)
+llama-export-lora: examples/export-lora/export-lora.cpp ggml.o common/common.h $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-retrieval: examples/retrieval/retrieval.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-retrieval: examples/retrieval/retrieval.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-speculative: examples/speculative/speculative.cpp ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
+llama-speculative: examples/speculative/speculative.cpp ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-parallel: examples/parallel/parallel.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-parallel: examples/parallel/parallel.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-lookahead: examples/lookahead/lookahead.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-lookahead: examples/lookahead/lookahead.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-lookup: examples/lookup/lookup.cpp ggml.o llama.o ngram-cache.o $(COMMON_DEPS) $(OBJS)
-	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
-	$(CXX) $(CXXFLAGS) -c examples/lookup/lookup-create.cpp -o $(call GET_OBJ_FILE, examples/lookup/lookup-create.cpp)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, examples/lookup/lookup-create.cpp) -o lookup-create $(LDFLAGS)
-	$(CXX) $(CXXFLAGS) -c examples/lookup/lookup-merge.cpp -o $(call GET_OBJ_FILE, examples/lookup/lookup-merge.cpp)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, examples/lookup/lookup-merge.cpp) -o lookup-merge $(LDFLAGS)
-	$(CXX) $(CXXFLAGS) -c examples/lookup/lookup-stats.cpp -o $(call GET_OBJ_FILE, examples/lookup/lookup-stats.cpp)
-	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, examples/lookup/lookup-stats.cpp) -o lookup-stats $(LDFLAGS)
-
-passkey: examples/passkey/passkey.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+llama-lookup: examples/lookup/lookup.cpp ggml.o llama.o ngram-cache.o $(COMMON_DEPS) $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-gbnf-validator: examples/gbnf-validator/gbnf-validator.cpp ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
+llama-lookup-create: examples/lookup/lookup-create.cpp ggml.o llama.o ngram-cache.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
+
+llama-lookup-merge: examples/lookup/lookup-merge.cpp ggml.o llama.o ngram-cache.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
+
+llama-lookup-stats: examples/lookup/lookup-stats.cpp ggml.o llama.o ngram-cache.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
+
+llama-passkey: examples/passkey/passkey.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
+
+llama-gbnf-validator: examples/gbnf-validator/gbnf-validator.cpp ggml.o llama.o $(COMMON_DEPS) grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
@@ -962,20 +1004,20 @@ build-info.o: common/build-info.cpp
 
 tests: $(TEST_TARGETS)
 
-benchmark-matmult: examples/benchmark/benchmark-matmult.cpp build-info.o ggml.o $(OBJS)
+llama-benchmark-matmult: examples/benchmark/benchmark-matmult.cpp build-info.o ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-run-benchmark-matmult: benchmark-matmult
+run-benchmark-matmult: llama-benchmark-matmult
 	./$@
 
 .PHONY: run-benchmark-matmult swift
 
-vdot: pocs/vdot/vdot.cpp ggml.o $(OBJS)
+llama-vdot: pocs/vdot/vdot.cpp ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-q8dot: pocs/vdot/q8dot.cpp ggml.o $(OBJS)
+llama-q8dot: pocs/vdot/q8dot.cpp ggml.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
diff --git a/README-sycl.md b/README-sycl.md
index 62b38135c..93b623daf 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -77,7 +77,7 @@ It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS,
 *Notes:*
 
 - **Memory**
-  - The device memory is a limitation when running a large model. The loaded model size, *`llm_load_tensors: buffer_size`*, is displayed in the log when running `./bin/main`.
+  - The device memory is a limitation when running a large model. The loaded model size, *`llm_load_tensors: buffer_size`*, is displayed in the log when running `./bin/llama-cli`.
 
   - Please make sure the GPU shared memory from the host is large enough to account for the model's size. For e.g. the *llama-2-7b.Q4_0* requires at least 8.0GB for integrated GPU and 4.0GB for discrete GPU.
 
@@ -99,14 +99,14 @@ The docker build option is currently limited to *intel GPU* targets.
 ### Build image
 ```sh
 # Using FP16
-docker build -t llama-cpp-sycl --build-arg="LLAMA_SYCL_F16=ON" -f .devops/main-intel.Dockerfile .
+docker build -t llama-cpp-sycl --build-arg="LLAMA_SYCL_F16=ON" -f .devops/llama-cli-intel.Dockerfile .
 ```
 
 *Notes*:
 
 To build in default FP32 *(Slower than FP16 alternative)*, you can remove the `--build-arg="LLAMA_SYCL_F16=ON"` argument from the previous command.
 
-You can also use the `.devops/server-intel.Dockerfile`, which builds the *"server"* alternative.
+You can also use the `.devops/llama-server-intel.Dockerfile`, which builds the *"server"* alternative.
 
 ### Run container
 
@@ -275,7 +275,7 @@ source /opt/intel/oneapi/setvars.sh
 Similar to the native `sycl-ls`, available SYCL devices can be queried as follow:
 
 ```sh
-./build/bin/ls-sycl-device
+./build/bin/llama-ls-sycl-device
 ```
 A example of such log in a system with 1 *intel CPU* and 1 *intel GPU* can look like the following:
 ```
@@ -313,7 +313,7 @@ Examples:
 - Use device 0:
 
 ```sh
-ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm none -mg 0
+ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm none -mg 0
 ```
 or run by script:
 
@@ -324,7 +324,7 @@ or run by script:
 - Use multiple devices:
 
 ```sh
-ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm layer
+ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33 -sm layer
 ```
 
 Otherwise, you can run the script:
@@ -427,7 +427,7 @@ Otherwise, run the `win-build-sycl.bat` wrapper which encapsulates the former in
 
 *Notes:*
 
-- By default, calling `make` will build all target binary files. In case of a minimal experimental setup, the user can build the inference executable only through `make main`.
+- By default, calling `make` will build all target binary files. In case of a minimal experimental setup, the user can build the inference executable only through `make llama-cli`.
 
 ### III. Run the inference
 
@@ -488,13 +488,13 @@ Examples:
 - Use device 0:
 
 ```
-build\bin\main.exe -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 33 -s 0 -sm none -mg 0
+build\bin\llama-cli.exe -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 33 -s 0 -sm none -mg 0
 ```
 
 - Use multiple devices:
 
 ```
-build\bin\main.exe -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 33 -s 0 -sm layer
+build\bin\llama-cli.exe -m models\llama-2-7b.Q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e -ngl 33 -s 0 -sm layer
 ```
 Otherwise, run the following wrapper script:
 
diff --git a/README.md b/README.md
index 8c065aace..d1c6190dd 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,9 @@
 
 Inference of Meta's [LLaMA](https://arxiv.org/abs/2302.13971) model (and others) in pure C/C++
 
+> [!IMPORTANT]
+[2024 Jun 12] Binaries have been renamed w/ a `llama-` prefix. `main` is now `llama-cli`, `server` is `llama-server`, etc (https://github.com/ggerganov/llama.cpp/pull/7809)
+
 ### Recent API changes
 
 - [2024 Apr 21] `llama_token_to_piece` can now optionally render special tokens https://github.com/ggerganov/llama.cpp/pull/6807
@@ -217,7 +220,7 @@ Unless otherwise noted these projects are open-source with permissive licensing:
 Here is a typical run using LLaMA v2 13B on M2 Ultra:
 
 ```
-$ make -j && ./main -m models/llama-13b-v2/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e
+$ make -j && ./llama-cli -m models/llama-13b-v2/ggml-model-q4_0.gguf -p "Building a website can be done in 10 simple steps:\nStep 1:" -n 400 -e
 I llama.cpp build info:
 I UNAME_S:  Darwin
 I UNAME_P:  arm
@@ -555,7 +558,7 @@ Building the program with BLAS support may lead to some performance improvements
 
   ```sh
   # Build the image
-  docker build -t llama-cpp-vulkan -f .devops/main-vulkan.Dockerfile .
+  docker build -t llama-cpp-vulkan -f .devops/llama-cli-vulkan.Dockerfile .
 
   # Then, use it:
   docker run -it --rm -v "$(pwd):/app:Z" --device /dev/dri/renderD128:/dev/dri/renderD128 --device /dev/dri/card1:/dev/dri/card1 llama-cpp-vulkan -m "/app/models/YOUR_MODEL_FILE" -p "Building a website can be done in 10 simple steps:" -n 400 -e -ngl 33
@@ -586,7 +589,7 @@ Building the program with BLAS support may lead to some performance improvements
   cmake -B build -DLLAMA_VULKAN=1
   cmake --build build --config Release
   # Test the output binary (with "-ngl 33" to offload all layers to GPU)
-  ./bin/main -m "PATH_TO_MODEL" -p "Hi you how are you" -n 50 -e -ngl 33 -t 4
+  ./bin/llama-cli -m "PATH_TO_MODEL" -p "Hi you how are you" -n 50 -e -ngl 33 -t 4
 
   # You should see in the output, ggml_vulkan detected your GPU. For example:
   # ggml_vulkan: Using Intel(R) Graphics (ADL GT2) | uma: 1 | fp16: 1 | warp size: 32
@@ -623,17 +626,17 @@ python3 convert-hf-to-gguf.py models/mymodel/
 python convert-hf-to-gguf.py models/mymodel/ --vocab-type bpe
 
 # quantize the model to 4-bits (using Q4_K_M method)
-./quantize ./models/mymodel/ggml-model-f16.gguf ./models/mymodel/ggml-model-Q4_K_M.gguf Q4_K_M
+./llama-quantize ./models/mymodel/ggml-model-f16.gguf ./models/mymodel/ggml-model-Q4_K_M.gguf Q4_K_M
 
 # update the gguf filetype to current version if older version is now unsupported
-./quantize ./models/mymodel/ggml-model-Q4_K_M.gguf ./models/mymodel/ggml-model-Q4_K_M-v2.gguf COPY
+./llama-quantize ./models/mymodel/ggml-model-Q4_K_M.gguf ./models/mymodel/ggml-model-Q4_K_M-v2.gguf COPY
 ```
 
 ### Run the quantized model
 
 ```bash
 # start inference on a gguf model
-./main -m ./models/mymodel/ggml-model-Q4_K_M.gguf -n 128
+./llama-cli -m ./models/mymodel/ggml-model-Q4_K_M.gguf -n 128
 ```
 
 When running the larger models, make sure you have enough disk space to store all the intermediate files.
@@ -708,7 +711,7 @@ The time per token is measured on a MacBook M1 Pro 32GB RAM using 4 and 8 thread
 #### How to run
 
 1. Download/extract: https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
-2. Run `./perplexity -m models/7B/ggml-model-q4_0.gguf -f wiki.test.raw`
+2. Run `./llama-perplexity -m models/7B/ggml-model-q4_0.gguf -f wiki.test.raw`
 3. Output:
 ```
 perplexity : calculating perplexity over 655 chunks
@@ -732,16 +735,16 @@ Here is an example of a few-shot interaction, invoked with the command
 ./examples/chat-13B.sh
 
 # custom arguments using a 13B model
-./main -m ./models/13B/ggml-model-q4_0.gguf -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt
+./llama-cli -m ./models/13B/ggml-model-q4_0.gguf -n 256 --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-bob.txt
 ```
 
-Note the use of `--color` to distinguish between user input and generated text. Other parameters are explained in more detail in the [README](examples/main/README.md) for the `main` example program.
+Note the use of `--color` to distinguish between user input and generated text. Other parameters are explained in more detail in the [README](examples/main/README.md) for the `llama-cli` example program.
 
 ![image](https://user-images.githubusercontent.com/1991296/224575029-2af3c7dc-5a65-4f64-a6bb-517a532aea38.png)
 
 ### Persistent Interaction
 
-The prompt, user inputs, and model generations can be saved and resumed across calls to `./main` by leveraging `--prompt-cache` and `--prompt-cache-all`. The `./examples/chat-persistent.sh` script demonstrates this with support for long-running, resumable chat sessions. To use this example, you must provide a file to cache the initial chat prompt and a directory to save the chat session, and may optionally provide the same variables as `chat-13B.sh`. The same prompt cache can be reused for new chat sessions. Note that both prompt cache and chat directory are tied to the initial prompt (`PROMPT_TEMPLATE`) and the model file.
+The prompt, user inputs, and model generations can be saved and resumed across calls to `./llama-cli` by leveraging `--prompt-cache` and `--prompt-cache-all`. The `./examples/chat-persistent.sh` script demonstrates this with support for long-running, resumable chat sessions. To use this example, you must provide a file to cache the initial chat prompt and a directory to save the chat session, and may optionally provide the same variables as `chat-13B.sh`. The same prompt cache can be reused for new chat sessions. Note that both prompt cache and chat directory are tied to the initial prompt (`PROMPT_TEMPLATE`) and the model file.
 
 ```bash
 # Start a new chat
@@ -763,7 +766,7 @@ PROMPT_TEMPLATE=./prompts/chat-with-bob.txt PROMPT_CACHE_FILE=bob.prompt.bin \
 `llama.cpp` supports grammars to constrain model output. For example, you can force the model to output JSON only:
 
 ```bash
-./main -m ./models/13B/ggml-model-q4_0.gguf -n 256 --grammar-file grammars/json.gbnf -p 'Request: schedule a call at 8pm; Command:'
+./llama-cli -m ./models/13B/ggml-model-q4_0.gguf -n 256 --grammar-file grammars/json.gbnf -p 'Request: schedule a call at 8pm; Command:'
 ```
 
 The `grammars/` folder contains a handful of sample grammars. To write your own, check out the [GBNF Guide](./grammars/README.md).
@@ -842,7 +845,7 @@ $mv /sdcard/llama.cpp/llama-2-7b-chat.Q4_K_M.gguf /data/data/com.termux/files/ho
 Now, you can start chatting:
 ```
 $cd /data/data/com.termux/files/home/bin
-$./main -m ../model/llama-2-7b-chat.Q4_K_M.gguf -n 128 -cml
+$./llama-cli -m ../model/llama-2-7b-chat.Q4_K_M.gguf -n 128 -cml
 ```
 
 Here's a demo of an interactive session running on Pixel 5 phone:
@@ -909,8 +912,8 @@ Assuming one has the [nvidia-container-toolkit](https://github.com/NVIDIA/nvidia
 
 ```bash
 docker build -t local/llama.cpp:full-cuda -f .devops/full-cuda.Dockerfile .
-docker build -t local/llama.cpp:light-cuda -f .devops/main-cuda.Dockerfile .
-docker build -t local/llama.cpp:server-cuda -f .devops/server-cuda.Dockerfile .
+docker build -t local/llama.cpp:light-cuda -f .devops/llama-cli-cuda.Dockerfile .
+docker build -t local/llama.cpp:server-cuda -f .devops/llama-server-cuda.Dockerfile .
 ```
 
 You may want to pass in some different `ARGS`, depending on the CUDA environment supported by your container host, as well as the GPU architecture.
@@ -960,7 +963,7 @@ docker run --gpus all -v /path/to/models:/models local/llama.cpp:server-cuda -m
 
 ### Docs
 
-- [main](./examples/main/README.md)
+- [main (cli)](./examples/main/README.md)
 - [server](./examples/server/README.md)
 - [jeopardy](./examples/jeopardy/README.md)
 - [BLIS](./docs/BLIS.md)
diff --git a/ci/run.sh b/ci/run.sh
index 3fc5f48b2..291c44f47 100755
--- a/ci/run.sh
+++ b/ci/run.sh
@@ -303,47 +303,47 @@ function gg_run_open_llama_7b_v2 {
 
     wiki_test="${path_wiki}/wiki.test.raw"
 
-    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
-    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
-    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
-    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
-    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
-    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
-    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
-    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
-    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
-    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
+    ./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_0} q4_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_1} q4_1
+    ./bin/llama-quantize ${model_f16} ${model_q5_0} q5_0
+    ./bin/llama-quantize ${model_f16} ${model_q5_1} q5_1
+    ./bin/llama-quantize ${model_f16} ${model_q2_k} q2_k
+    ./bin/llama-quantize ${model_f16} ${model_q3_k} q3_k
+    ./bin/llama-quantize ${model_f16} ${model_q4_k} q4_k
+    ./bin/llama-quantize ${model_f16} ${model_q5_k} q5_k
+    ./bin/llama-quantize ${model_f16} ${model_q6_k} q6_k
 
-    (time ./bin/main --model ${model_f16}  -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/main --model ${model_q8_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/main --model ${model_q4_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/main --model ${model_q4_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/main --model ${model_q5_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/main --model ${model_q5_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/main --model ${model_q2_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/main --model ${model_q3_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/main --model ${model_q4_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/main --model ${model_q5_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/main --model ${model_q6_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-cli --model ${model_f16}  -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-cli --model ${model_q8_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-cli --model ${model_q4_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-cli --model ${model_q4_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-cli --model ${model_q5_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-cli --model ${model_q5_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-cli --model ${model_q2_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-cli --model ${model_q3_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-cli --model ${model_q4_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-cli --model ${model_q5_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-cli --model ${model_q6_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-perplexity --model ${model_f16}  -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
+    (time ./bin/llama-imatrix --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
 
-    (time ./bin/save-load-state     -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state     -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state     -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state -fa -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state     -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state -fa -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
 
     function check_ppl {
         qnt="$1"
@@ -437,45 +437,45 @@ function gg_run_pythia_1_4b {
 
     wiki_test_60="${path_wiki}/wiki.test-60.raw"
 
-    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
-    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
-    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
-    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
-    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
-    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
-    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
-    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
-    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
-    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
+    ./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_0} q4_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_1} q4_1
+    ./bin/llama-quantize ${model_f16} ${model_q5_0} q5_0
+    ./bin/llama-quantize ${model_f16} ${model_q5_1} q5_1
+    ./bin/llama-quantize ${model_f16} ${model_q2_k} q2_k
+    ./bin/llama-quantize ${model_f16} ${model_q3_k} q3_k
+    ./bin/llama-quantize ${model_f16} ${model_q4_k} q4_k
+    ./bin/llama-quantize ${model_f16} ${model_q5_k} q5_k
+    ./bin/llama-quantize ${model_f16} ${model_q6_k} q6_k
 
-    (time ./bin/main --model ${model_f16}  -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/main --model ${model_q8_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/main --model ${model_q4_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/main --model ${model_q4_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/main --model ${model_q5_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/main --model ${model_q5_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/main --model ${model_q2_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/main --model ${model_q3_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/main --model ${model_q4_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/main --model ${model_q5_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/main --model ${model_q6_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-cli --model ${model_f16}  -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-cli --model ${model_q8_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-cli --model ${model_q4_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-cli --model ${model_q4_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-cli --model ${model_q5_0} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-cli --model ${model_q5_1} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-cli --model ${model_q2_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-cli --model ${model_q3_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-cli --model ${model_q4_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-cli --model ${model_q5_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-cli --model ${model_q6_k} -s 1234 -n 64 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-perplexity --model ${model_f16}  -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-perplexity --model ${model_q8_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-perplexity --model ${model_q5_0} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-perplexity --model ${model_q5_1} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-perplexity --model ${model_q2_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-perplexity --model ${model_q3_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-perplexity --model ${model_q4_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-perplexity --model ${model_q5_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-perplexity --model ${model_q6_k} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
+    (time ./bin/llama-imatrix --model ${model_f16} -f ${wiki_test_60} -c 128 -b 128 --chunks 1 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
 
-    (time ./bin/save-load-state     --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state     --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state -fa --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
 
     function check_ppl {
         qnt="$1"
@@ -569,47 +569,47 @@ function gg_run_pythia_2_8b {
 
     wiki_test="${path_wiki}/wiki.test.raw"
 
-    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
-    ./bin/quantize ${model_f16} ${model_q4_0} q4_0
-    ./bin/quantize ${model_f16} ${model_q4_1} q4_1
-    ./bin/quantize ${model_f16} ${model_q5_0} q5_0
-    ./bin/quantize ${model_f16} ${model_q5_1} q5_1
-    ./bin/quantize ${model_f16} ${model_q2_k} q2_k
-    ./bin/quantize ${model_f16} ${model_q3_k} q3_k
-    ./bin/quantize ${model_f16} ${model_q4_k} q4_k
-    ./bin/quantize ${model_f16} ${model_q5_k} q5_k
-    ./bin/quantize ${model_f16} ${model_q6_k} q6_k
+    ./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_0} q4_0
+    ./bin/llama-quantize ${model_f16} ${model_q4_1} q4_1
+    ./bin/llama-quantize ${model_f16} ${model_q5_0} q5_0
+    ./bin/llama-quantize ${model_f16} ${model_q5_1} q5_1
+    ./bin/llama-quantize ${model_f16} ${model_q2_k} q2_k
+    ./bin/llama-quantize ${model_f16} ${model_q3_k} q3_k
+    ./bin/llama-quantize ${model_f16} ${model_q4_k} q4_k
+    ./bin/llama-quantize ${model_f16} ${model_q5_k} q5_k
+    ./bin/llama-quantize ${model_f16} ${model_q6_k} q6_k
 
-    (time ./bin/main --model ${model_f16}  -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/main --model ${model_q8_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/main --model ${model_q4_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/main --model ${model_q4_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/main --model ${model_q5_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/main --model ${model_q5_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/main --model ${model_q2_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/main --model ${model_q3_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/main --model ${model_q4_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/main --model ${model_q5_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/main --model ${model_q6_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-cli --model ${model_f16}  -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-cli --model ${model_q8_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-cli --model ${model_q4_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-cli --model ${model_q4_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-cli --model ${model_q5_0} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-cli --model ${model_q5_1} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-cli --model ${model_q2_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-cli --model ${model_q3_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-cli --model ${model_q4_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-cli --model ${model_q5_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-cli --model ${model_q6_k} -t 1 -ngl 999 -s 1234 -n 256 --ignore-eos -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/perplexity --model ${model_f16}  -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
-    (time ./bin/perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
-    (time ./bin/perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
-    (time ./bin/perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
-    (time ./bin/perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
-    (time ./bin/perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
-    (time ./bin/perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
-    (time ./bin/perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
-    (time ./bin/perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
-    (time ./bin/perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
+    (time ./bin/llama-perplexity --model ${model_f16}  -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-perplexity --model ${model_q8_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_0.log
+    (time ./bin/llama-perplexity --model ${model_q4_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_1.log
+    (time ./bin/llama-perplexity --model ${model_q5_0} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_0.log
+    (time ./bin/llama-perplexity --model ${model_q5_1} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_1.log
+    (time ./bin/llama-perplexity --model ${model_q2_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q2_k.log
+    (time ./bin/llama-perplexity --model ${model_q3_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q3_k.log
+    (time ./bin/llama-perplexity --model ${model_q4_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q4_k.log
+    (time ./bin/llama-perplexity --model ${model_q5_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q5_k.log
+    (time ./bin/llama-perplexity --model ${model_q6_k} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-tg-q6_k.log
 
-    (time ./bin/imatrix --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
+    (time ./bin/llama-imatrix --model ${model_f16} -f ${wiki_test} -t 1 -ngl 999 -c 2048 -b 512 --chunks 4 ) 2>&1 | tee -a $OUT/${ci}-imatrix.log
 
-    (time ./bin/save-load-state     -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state     -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
-    (time ./bin/save-load-state -fa -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state     -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state -fa -ngl 10 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state     -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
+    (time ./bin/llama-save-load-state -fa -ngl 99 --model ${model_q4_0} ) 2>&1 | tee -a $OUT/${ci}-save-load-state.log
 
     function check_ppl {
         qnt="$1"
@@ -693,10 +693,10 @@ function gg_run_embd_bge_small {
     model_f16="${path_models}/ggml-model-f16.gguf"
     model_q8_0="${path_models}/ggml-model-q8_0.gguf"
 
-    ./bin/quantize ${model_f16} ${model_q8_0} q8_0
+    ./bin/llama-quantize ${model_f16} ${model_q8_0} q8_0
 
-    (time ./bin/embedding --model ${model_f16}  -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
-    (time ./bin/embedding --model ${model_q8_0} -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
+    (time ./bin/llama-embedding --model ${model_f16}  -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-f16.log
+    (time ./bin/llama-embedding --model ${model_q8_0} -p "I believe the meaning of life is" ) 2>&1 | tee -a $OUT/${ci}-tg-q8_0.log
 
     set +e
 }
diff --git a/docs/HOWTO-add-model.md b/docs/HOWTO-add-model.md
index 138124248..3eec077ea 100644
--- a/docs/HOWTO-add-model.md
+++ b/docs/HOWTO-add-model.md
@@ -100,7 +100,7 @@ Have a look at existing implementation like `build_llama`, `build_dbrx` or `buil
 
 When implementing a new graph, please note that the underlying `ggml` backends might not support them all, support for missing backend operations can be added in another PR.
 
-Note: to debug the inference graph: you can use [eval-callback](../examples/eval-callback).
+Note: to debug the inference graph: you can use [llama-eval-callback](../examples/eval-callback).
 
 ## GGUF specification
 
diff --git a/docs/token_generation_performance_tips.md b/docs/token_generation_performance_tips.md
index 3c4343147..c0840cad5 100644
--- a/docs/token_generation_performance_tips.md
+++ b/docs/token_generation_performance_tips.md
@@ -3,7 +3,7 @@
 ## Verifying that the model is running on the GPU with CUDA
 Make sure you compiled llama with the correct env variables according to [this guide](../README.md#CUDA), so that llama accepts the `-ngl N` (or `--n-gpu-layers N`) flag. When running llama, you may configure `N` to be very large, and llama will offload the maximum possible number of layers to the GPU, even if it's less than the number you configured. For example:
 ```shell
-./main -m "path/to/model.gguf" -ngl 200000 -p "Please sir, may I have some "
+./llama-cli -m "path/to/model.gguf" -ngl 200000 -p "Please sir, may I have some "
 ```
 
 When running llama, before it starts the inference work, it will output diagnostic information that shows whether cuBLAS is offloading work to the GPU. Look for these lines:
@@ -27,7 +27,7 @@ RAM: 32GB
 
 Model: `TheBloke_Wizard-Vicuna-30B-Uncensored-GGML/Wizard-Vicuna-30B-Uncensored.q4_0.gguf` (30B parameters, 4bit quantization, GGML)
 
-Run command: `./main -m "path/to/model.gguf" -p "An extremely detailed description of the 10 best ethnic dishes will follow, with recipes: " -n 1000 [additional benchmark flags]`
+Run command: `./llama-cli -m "path/to/model.gguf" -p "An extremely detailed description of the 10 best ethnic dishes will follow, with recipes: " -n 1000 [additional benchmark flags]`
 
 Result:
 
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index 53002f8e1..d6ce35f4c 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -13,42 +13,43 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR})
 if (EMSCRIPTEN)
 else()
     add_subdirectory(baby-llama)
-    add_subdirectory(batched)
     add_subdirectory(batched-bench)
+    add_subdirectory(batched)
     add_subdirectory(benchmark)
     add_subdirectory(convert-llama2c-to-ggml)
     add_subdirectory(embedding)
     add_subdirectory(eval-callback)
+    add_subdirectory(export-lora)
     add_subdirectory(finetune)
-    add_subdirectory(gritlm)
+    add_subdirectory(gbnf-validator)
     add_subdirectory(gguf-split)
+    add_subdirectory(gguf)
+    add_subdirectory(gritlm)
+    add_subdirectory(imatrix)
     add_subdirectory(infill)
     add_subdirectory(llama-bench)
     add_subdirectory(llava)
-    if (LLAMA_SYCL)
-        add_subdirectory(sycl)
-    endif()
-    add_subdirectory(main)
-    add_subdirectory(tokenize)
-    add_subdirectory(parallel)
-    add_subdirectory(perplexity)
-    add_subdirectory(quantize)
-    add_subdirectory(quantize-stats)
-    add_subdirectory(retrieval)
-    add_subdirectory(save-load-state)
-    add_subdirectory(simple)
-    add_subdirectory(passkey)
-    add_subdirectory(speculative)
     add_subdirectory(lookahead)
     add_subdirectory(lookup)
-    add_subdirectory(gguf)
-    add_subdirectory(train-text-from-scratch)
-    add_subdirectory(imatrix)
-    if (LLAMA_BUILD_SERVER)
-        add_subdirectory(server)
-    endif()
-    add_subdirectory(export-lora)
+    add_subdirectory(main)
+    add_subdirectory(parallel)
+    add_subdirectory(passkey)
+    add_subdirectory(perplexity)
+    add_subdirectory(quantize-stats)
+    add_subdirectory(quantize)
+    add_subdirectory(retrieval)
     if (LLAMA_RPC)
         add_subdirectory(rpc)
     endif()
+    if (LLAMA_BUILD_SERVER)
+    add_subdirectory(server)
+    endif()
+    if (LLAMA_SYCL)
+        add_subdirectory(sycl)
+    endif()
+    add_subdirectory(save-load-state)
+    add_subdirectory(simple)
+    add_subdirectory(speculative)
+    add_subdirectory(tokenize)
+    add_subdirectory(train-text-from-scratch)
 endif()
diff --git a/examples/Miku.sh b/examples/Miku.sh
index b9174b4e6..0f6c8c878 100755
--- a/examples/Miku.sh
+++ b/examples/Miku.sh
@@ -22,7 +22,7 @@ if [ -n "$N_THREAD" ]; then
     GEN_OPTIONS+=(--threads "$N_THREAD")
 fi
 
-./main "${GEN_OPTIONS[@]}" \
+./llama-cli "${GEN_OPTIONS[@]}" \
     --model "$MODEL" \
     --in-prefix " " \
     --in-suffix "${AI_NAME}:" \
diff --git a/examples/baby-llama/CMakeLists.txt b/examples/baby-llama/CMakeLists.txt
index 7b70227a5..71b82105c 100644
--- a/examples/baby-llama/CMakeLists.txt
+++ b/examples/baby-llama/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET baby-llama)
+set(TARGET llama-baby-llama)
 add_executable(${TARGET} baby-llama.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/base-translate.sh b/examples/base-translate.sh
index 00dedd0df..103a52f55 100755
--- a/examples/base-translate.sh
+++ b/examples/base-translate.sh
@@ -58,4 +58,4 @@ echo "$2
 model=$1
 
 # generate the most likely continuation until the string "===" is found
-./main -m $model -f $ftmp -n 64 --temp 0 --repeat-penalty 1.0 --no-penalize-nl -r "===" $eargs
+./llama-cli -m $model -f $ftmp -n 64 --temp 0 --repeat-penalty 1.0 --no-penalize-nl -r "===" $eargs
diff --git a/examples/batched-bench/CMakeLists.txt b/examples/batched-bench/CMakeLists.txt
index 40a032c51..959acaeee 100644
--- a/examples/batched-bench/CMakeLists.txt
+++ b/examples/batched-bench/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET batched-bench)
+set(TARGET llama-batched-bench)
 add_executable(${TARGET} batched-bench.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/batched-bench/README.md b/examples/batched-bench/README.md
index fa4baf640..4a07fe6bb 100644
--- a/examples/batched-bench/README.md
+++ b/examples/batched-bench/README.md
@@ -10,16 +10,16 @@ There are 2 modes of operation:
 - `prompt is shared` - there is a common prompt of size `PP` used by all batches (i.e. `N_KV = PP + B*TG`)
 
 ```bash
-./batched-bench -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]
+./llama-batched-bench -m model.gguf -c 2048 -b 2048 -ub 512 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32 [-pps]
 
 # LLaMA 7B, F16, N_KV_MAX = 16384 (8GB), prompt not shared
-./batched-bench -m ./models/llama-7b/ggml-model-f16.gguf -c 16384 -b 2048 -ub 512 -ngl 99
+./llama-batched-bench -m ./models/llama-7b/ggml-model-f16.gguf -c 16384 -b 2048 -ub 512 -ngl 99
 
 # LLaMA 7B, Q8_0, N_KV_MAX = 16384 (8GB), prompt is shared
-./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 16384 -b 2048 -ub 512 -ngl 99 -pps
+./llama-batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 16384 -b 2048 -ub 512 -ngl 99 -pps
 
 # custom set of batches
-./batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 2048 -b 512 -ub 512 -ngl 999 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32
+./llama-batched-bench -m ./models/llama-7b/ggml-model-q8_0.gguf -c 2048 -b 512 -ub 512 -ngl 999 -npp 128,256,512 -ntg 128,256 -npl 1,2,4,8,16,32
 ```
 
 ## Sample results
diff --git a/examples/batched.swift/Makefile b/examples/batched.swift/Makefile
index 2afb24fb8..1f9156e58 100755
--- a/examples/batched.swift/Makefile
+++ b/examples/batched.swift/Makefile
@@ -1,6 +1,6 @@
 .PHONY: build
 
 build:
-	xcodebuild -scheme batched_swift -destination "generic/platform=macOS" -derivedDataPath build
-	rm -f ./batched_swift
-	ln -s ./build/Build/Products/Debug/batched_swift ./batched_swift
+	xcodebuild -scheme llama-batched-swift -destination "generic/platform=macOS" -derivedDataPath build
+	rm -f ./llama-batched-swift
+	ln -s ./build/Build/Products/Debug/llama-batched-swift ./llama-batched-swift
diff --git a/examples/batched.swift/Package.swift b/examples/batched.swift/Package.swift
index 826491def..7e8afd084 100644
--- a/examples/batched.swift/Package.swift
+++ b/examples/batched.swift/Package.swift
@@ -4,7 +4,7 @@
 import PackageDescription
 
 let package = Package(
-    name: "batched_swift",
+    name: "llama-batched-swift",
     platforms: [.macOS(.v12)],
     dependencies: [
         .package(name: "llama", path: "../../"),
@@ -13,7 +13,7 @@ let package = Package(
         // Targets are the basic building blocks of a package, defining a module or a test suite.
         // Targets can depend on other targets in this package and products from dependencies.
         .executableTarget(
-            name: "batched_swift",
+            name: "llama-batched-swift",
             dependencies: ["llama"],
             path: "Sources",
             linkerSettings: [.linkedFramework("Foundation"), .linkedFramework("AppKit")]
diff --git a/examples/batched.swift/README.md b/examples/batched.swift/README.md
index 4c2721fe8..7f2e2fcdc 100644
--- a/examples/batched.swift/README.md
+++ b/examples/batched.swift/README.md
@@ -1,4 +1,4 @@
 This is a swift clone of `examples/batched`.
 
 $ `make`
-$ `./batched_swift MODEL_PATH [PROMPT] [PARALLEL]`
+$ `./llama-batched-swift MODEL_PATH [PROMPT] [PARALLEL]`
diff --git a/examples/batched/CMakeLists.txt b/examples/batched/CMakeLists.txt
index 6aa178d4d..77e33343b 100644
--- a/examples/batched/CMakeLists.txt
+++ b/examples/batched/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET batched)
+set(TARGET llama-batched)
 add_executable(${TARGET} batched.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/batched/README.md b/examples/batched/README.md
index ed204c308..6013aab01 100644
--- a/examples/batched/README.md
+++ b/examples/batched/README.md
@@ -3,7 +3,7 @@
 The example demonstrates batched generation from a given prompt
 
 ```bash
-./batched -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is" -np 4
+./llama-batched -m ./models/llama-7b-v2/ggml-model-f16.gguf -p "Hello my name is" -np 4
 
 ...
 
diff --git a/examples/benchmark/CMakeLists.txt b/examples/benchmark/CMakeLists.txt
index 2bb47bab5..34a58cc02 100644
--- a/examples/benchmark/CMakeLists.txt
+++ b/examples/benchmark/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET benchmark)
+set(TARGET llama-bench-matmult)
 add_executable(${TARGET} benchmark-matmult.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE llama build_info ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/chat-13B.sh b/examples/chat-13B.sh
index 35c089d57..1828903c3 100755
--- a/examples/chat-13B.sh
+++ b/examples/chat-13B.sh
@@ -30,7 +30,7 @@ sed -e "s/\[\[USER_NAME\]\]/$USER_NAME/g" \
      $PROMPT_TEMPLATE > $PROMPT_FILE
 
 # shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
-./main $GEN_OPTIONS \
+./llama-cli $GEN_OPTIONS \
   --model "$MODEL" \
   --threads "$N_THREAD" \
   --n_predict "$N_PREDICTS" \
diff --git a/examples/chat-persistent.sh b/examples/chat-persistent.sh
index 22f5b83d3..d9cab9836 100755
--- a/examples/chat-persistent.sh
+++ b/examples/chat-persistent.sh
@@ -62,7 +62,7 @@ fi
 if [[ ! -e "$PROMPT_CACHE_FILE" ]]; then
     echo 'Prompt cache does not exist, building...'
     # Default batch_size to 64 here for better user feedback during initial prompt processing
-    ./main 2>>"$LOG" \
+    ./llama-cli 2>>"$LOG" \
         --batch_size 64 \
         "${OPTS[@]}" \
         --prompt-cache "$PROMPT_CACHE_FILE" \
@@ -109,13 +109,13 @@ while read -e line; do
 
     printf '%s: ' "$AI_NAME" >>"$CUR_PROMPT_FILE"
 
-    ./main 2>>"$LOG" "${OPTS[@]}" \
+    ./llama-cli 2>>"$LOG" "${OPTS[@]}" \
             --prompt-cache "$CUR_PROMPT_CACHE" \
             --prompt-cache-all \
             --file "$CUR_PROMPT_FILE" \
             --reverse-prompt "${USER_NAME}:" \
             --n_predict "$n_predict" |
-        skip_bytes 1 |                  # skip BOS token added by ./main
+        skip_bytes 1 |                  # skip BOS token added by ./llama-cli
         tee "$CUR_PROMPT_FILE.tmp" |    # save prompt + generation to tmp file
         skip_bytes "$n_prompt_len_pre"  # print generation
 
@@ -133,7 +133,7 @@ while read -e line; do
     # TODO get both messages in one go
     if  ! session_size_msg="$(tail -n30 "$LOG" | grep -oE "$SESSION_SIZE_MSG_PATTERN")" ||
         ! sample_time_msg="$(tail -n10 "$LOG" | grep -oE "$SAMPLE_TIME_MSG_PATTERN")"; then
-        echo >&2 "Couldn't get number of tokens from ./main output!"
+        echo >&2 "Couldn't get number of tokens from ./llama-cli output!"
         exit 1
     fi
 
@@ -144,7 +144,7 @@ while read -e line; do
     fi
 
     # Update cache for next prompt in background, ideally during user input
-    ./main >>"$LOG_BG" 2>&1 "${OPTS[@]}" \
+    ./llama-cli >>"$LOG_BG" 2>&1 "${OPTS[@]}" \
           --prompt-cache "$NEXT_PROMPT_CACHE" \
           --file "$NEXT_PROMPT_FILE" \
           --n_predict 1 &
diff --git a/examples/chat-vicuna.sh b/examples/chat-vicuna.sh
index 8c7b7bef4..ffdd20084 100755
--- a/examples/chat-vicuna.sh
+++ b/examples/chat-vicuna.sh
@@ -30,7 +30,7 @@ sed -e "s/\[\[USER_NAME\]\]/$USER_NAME/g" \
      $PROMPT_TEMPLATE > $PROMPT_FILE
 
 # shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
-./bin/main $GEN_OPTIONS \
+./bin/llama-cli $GEN_OPTIONS \
   --model "$MODEL" \
   --threads "$N_THREAD" \
   --n_predict "$N_PREDICTS" \
diff --git a/examples/chat.sh b/examples/chat.sh
index d567acecd..9f85d1e26 100755
--- a/examples/chat.sh
+++ b/examples/chat.sh
@@ -11,6 +11,6 @@ cd ..
 #
 #   "--keep 48" is based on the contents of prompts/chat-with-bob.txt
 #
-./main -m ./models/llama-7b/ggml-model-q4_0.gguf -c 512 -b 1024 -n 256 --keep 48 \
+./llama-cli -m ./models/llama-7b/ggml-model-q4_0.gguf -c 512 -b 1024 -n 256 --keep 48 \
     --repeat_penalty 1.0 --color -i \
     -r "User:" -f prompts/chat-with-bob.txt
diff --git a/examples/convert-llama2c-to-ggml/CMakeLists.txt b/examples/convert-llama2c-to-ggml/CMakeLists.txt
index e262d44f9..a6790e617 100644
--- a/examples/convert-llama2c-to-ggml/CMakeLists.txt
+++ b/examples/convert-llama2c-to-ggml/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET convert-llama2c-to-ggml)
+set(TARGET llama-convert-llama2c-to-ggml)
 add_executable(${TARGET} convert-llama2c-to-ggml.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/convert-llama2c-to-ggml/README.md b/examples/convert-llama2c-to-ggml/README.md
index 742dcf7a3..5774ac83c 100644
--- a/examples/convert-llama2c-to-ggml/README.md
+++ b/examples/convert-llama2c-to-ggml/README.md
@@ -8,7 +8,7 @@ To convert the model first download the models from the [llama2.c](https://githu
 
 After successful compilation, following usage options are available:
 ```
-usage: ./convert-llama2c-to-ggml [options]
+usage: ./llama-convert-llama2c-to-ggml [options]
 
 options:
   -h, --help                       show this help message and exit
@@ -19,10 +19,10 @@ options:
 
 An example command using a model from [karpathy/tinyllamas](https://huggingface.co/karpathy/tinyllamas) is as follows:
 
-`$ ./convert-llama2c-to-ggml --copy-vocab-from-model llama-2-7b-chat.gguf.q2_K.bin --llama2c-model stories42M.bin --llama2c-output-model stories42M.gguf.bin`
+`$ ./llama-convert-llama2c-to-ggml --copy-vocab-from-model llama-2-7b-chat.gguf.q2_K.bin --llama2c-model stories42M.bin --llama2c-output-model stories42M.gguf.bin`
 
 Note: The vocabulary for `stories260K.bin` should be its own tokenizer `tok512.bin` found in [karpathy/tinyllamas/stories260K](https://huggingface.co/karpathy/tinyllamas/tree/main/stories260K).
 
 Now you can use the model with a command like:
 
-`$ ./main -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256`
+`$ ./llama-cli -m stories42M.gguf.bin -p "One day, Lily met a Shoggoth" -n 500 -c 256`
diff --git a/examples/embedding/CMakeLists.txt b/examples/embedding/CMakeLists.txt
index 8ffc33868..8256e789a 100644
--- a/examples/embedding/CMakeLists.txt
+++ b/examples/embedding/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET embedding)
+set(TARGET llama-embedding)
 add_executable(${TARGET} embedding.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/embedding/README.md b/examples/embedding/README.md
index 6929454c5..2298ec3e7 100644
--- a/examples/embedding/README.md
+++ b/examples/embedding/README.md
@@ -9,13 +9,13 @@ To get started right away, run the following command, making sure to use the cor
 ### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./embedding -m ./path/to/model --log-disable -p "Hello World!" 2>/dev/null
+./llama-embedding -m ./path/to/model --log-disable -p "Hello World!" 2>/dev/null
 ```
 
 ### Windows:
 
 ```powershell
-embedding.exe -m ./path/to/model --log-disable -p "Hello World!" 2>$null
+llama-embedding.exe -m ./path/to/model --log-disable -p "Hello World!" 2>$null
 ```
 
 The above command will output space-separated float values.
diff --git a/examples/eval-callback/CMakeLists.txt b/examples/eval-callback/CMakeLists.txt
index c56ba780b..a48753d38 100644
--- a/examples/eval-callback/CMakeLists.txt
+++ b/examples/eval-callback/CMakeLists.txt
@@ -1,9 +1,9 @@
-set(TARGET eval-callback)
+set(TARGET llama-eval-callback)
 add_executable(${TARGET} eval-callback.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 
 set(TEST_TARGET test-eval-callback)
-add_test(NAME ${TEST_TARGET} COMMAND eval-callback --hf-repo ggml-org/models --hf-file tinyllamas/stories260K.gguf --model stories260K.gguf --prompt hello --seed 42 -ngl 0)
+add_test(NAME ${TEST_TARGET} COMMAND llama-eval-callback --hf-repo ggml-org/models --hf-file tinyllamas/stories260K.gguf --model stories260K.gguf --prompt hello --seed 42 -ngl 0)
 set_property(TEST ${TEST_TARGET} PROPERTY LABELS eval-callback curl)
diff --git a/examples/eval-callback/README.md b/examples/eval-callback/README.md
index 66a37e878..63a57ad6b 100644
--- a/examples/eval-callback/README.md
+++ b/examples/eval-callback/README.md
@@ -6,7 +6,7 @@ It simply prints to the console all operations and tensor data.
 Usage:
 
 ```shell
-eval-callback \
+llama-eval-callback \
   --hf-repo ggml-org/models \
   --hf-file phi-2/ggml-model-q4_0.gguf \
   --model phi-2-q4_0.gguf \
diff --git a/examples/export-lora/CMakeLists.txt b/examples/export-lora/CMakeLists.txt
index cbbdaec67..1cef6e716 100644
--- a/examples/export-lora/CMakeLists.txt
+++ b/examples/export-lora/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET export-lora)
+set(TARGET llama-export-lora)
 add_executable(${TARGET} export-lora.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/export-lora/README.md b/examples/export-lora/README.md
index 0cf3e8e45..1fb17feec 100644
--- a/examples/export-lora/README.md
+++ b/examples/export-lora/README.md
@@ -3,7 +3,7 @@
 Apply LORA adapters to base model and export the resulting model.
 
 ```
-usage: export-lora [options]
+usage: llama-export-lora [options]
 
 options:
   -h, --help                         show this help message and exit
@@ -17,7 +17,7 @@ options:
 For example:
 
 ```bash
-./bin/export-lora \
+./bin/llama-export-lora \
     -m open-llama-3b-v2-q8_0.gguf \
     -o open-llama-3b-v2-q8_0-english2tokipona-chat.gguf \
     -l lora-open-llama-3b-v2-q8_0-english2tokipona-chat-LATEST.bin
diff --git a/examples/finetune/CMakeLists.txt b/examples/finetune/CMakeLists.txt
index 2b52d21cf..64afe6ddc 100644
--- a/examples/finetune/CMakeLists.txt
+++ b/examples/finetune/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET finetune)
+set(TARGET llama-finetune)
 add_executable(${TARGET} finetune.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/finetune/README.md b/examples/finetune/README.md
index 2fafd505e..a6ae64983 100644
--- a/examples/finetune/README.md
+++ b/examples/finetune/README.md
@@ -7,7 +7,7 @@ Basic usage instructions:
 wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/shakespeare.txt
 
 # finetune LORA adapter
-./bin/finetune \
+./bin/llama-finetune \
         --model-base open-llama-3b-v2-q8_0.gguf \
         --checkpoint-in  chk-lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.gguf \
         --checkpoint-out chk-lora-open-llama-3b-v2-q8_0-shakespeare-ITERATION.gguf \
@@ -18,7 +18,7 @@ wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/s
         --use-checkpointing
 
 # predict
-./bin/main -m open-llama-3b-v2-q8_0.gguf --lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin
+./bin/llama-cli -m open-llama-3b-v2-q8_0.gguf --lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin
 ```
 
 **Only llama based models are supported!** The output files will be saved every N iterations (config with `--save-every N`).
@@ -38,14 +38,14 @@ After 10 more iterations:
 Checkpoint files (`--checkpoint-in FN`, `--checkpoint-out FN`) store the training process. When the input checkpoint file does not exist, it will begin finetuning a new randomly initialized adapter.
 
 llama.cpp compatible LORA adapters will be saved with filename specified by `--lora-out FN`.
-These LORA adapters can then be used by `main` together with the base model, like in the 'predict' example command above.
+These LORA adapters can then be used by `llama-cli` together with the base model, like in the 'predict' example command above.
 
-In `main` you can also load multiple LORA adapters, which will then be mixed together.
+In `llama-cli` you can also load multiple LORA adapters, which will then be mixed together.
 
 For example if you have two LORA adapters `lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin` and `lora-open-llama-3b-v2-q8_0-bible-LATEST.bin`, you can mix them together like this:
 
 ```bash
-./bin/main -m open-llama-3b-v2-q8_0.gguf \
+./bin/llama-cli -m open-llama-3b-v2-q8_0.gguf \
   --lora lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin \
   --lora lora-open-llama-3b-v2-q8_0-bible-LATEST.bin
 ```
@@ -55,7 +55,7 @@ You can change how strong each LORA adapter is applied to the base model by usin
 For example to apply 40% of the 'shakespeare' LORA adapter, 80% of the 'bible' LORA adapter and 100% of yet another one:
 
 ```bash
-./bin/main -m open-llama-3b-v2-q8_0.gguf \
+./bin/llama-cli -m open-llama-3b-v2-q8_0.gguf \
   --lora-scaled lora-open-llama-3b-v2-q8_0-shakespeare-LATEST.bin 0.4 \
   --lora-scaled lora-open-llama-3b-v2-q8_0-bible-LATEST.bin 0.8 \
   --lora lora-open-llama-3b-v2-q8_0-yet-another-one-LATEST.bin
diff --git a/examples/finetune/finetune.sh b/examples/finetune/finetune.sh
index 079bfa113..d7f2165e5 100644
--- a/examples/finetune/finetune.sh
+++ b/examples/finetune/finetune.sh
@@ -2,7 +2,7 @@
 cd `dirname $0`
 cd ../..
 
-EXE="./finetune"
+EXE="./llama-finetune"
 
 if [[ ! $LLAMA_MODEL_DIR ]]; then LLAMA_MODEL_DIR="./models"; fi
 if [[ ! $LLAMA_TRAINING_DIR ]]; then LLAMA_TRAINING_DIR="."; fi
diff --git a/examples/gbnf-validator/CMakeLists.txt b/examples/gbnf-validator/CMakeLists.txt
index 166e3ad2a..4edd6ec73 100644
--- a/examples/gbnf-validator/CMakeLists.txt
+++ b/examples/gbnf-validator/CMakeLists.txt
@@ -1,5 +1,5 @@
-set(TARGET gbnf-validator)
+set(TARGET llama-gbnf-validator)
 add_executable(${TARGET} gbnf-validator.cpp)
 install(TARGETS ${TARGET} RUNTIME)
-target_link_libraries(${TARGET} PRIVATE common grammar-parser llama ${CMAKE_THREAD_LIBS_INIT})
+target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/gbnf-validator/gbnf-validator.cpp b/examples/gbnf-validator/gbnf-validator.cpp
index 091069ffa..0406dc339 100644
--- a/examples/gbnf-validator/gbnf-validator.cpp
+++ b/examples/gbnf-validator/gbnf-validator.cpp
@@ -7,6 +7,8 @@
 
 #include <cstdio>
 #include <cstdlib>
+#include <sstream>
+#include <fstream>
 #include <string>
 #include <vector>
 
@@ -69,13 +71,14 @@ int main(int argc, char** argv) {
         return 1;
     }
 
-    fseek(grammar_file, 0, SEEK_END);
-    size_t grammar_size = ftell(grammar_file);
-    fseek(grammar_file, 0, SEEK_SET);
-
-    std::string grammar_str(grammar_size, ' ');
-    fread(&grammar_str[0], 1, grammar_size, grammar_file);
-    fclose(grammar_file);
+    std::string grammar_str;
+    {
+        std::ifstream grammar_file(grammar_filename);
+        GGML_ASSERT(grammar_file.is_open() && "Failed to open grammar file");
+        std::stringstream buffer;
+        buffer << grammar_file.rdbuf();
+        grammar_str = buffer.str();
+    }
 
     // Parse the GBNF grammar
     auto parsed_grammar = grammar_parser::parse(grammar_str.c_str());
@@ -100,20 +103,15 @@ int main(int argc, char** argv) {
             grammar_rules.size(), parsed_grammar.symbol_ids.at("root"));
 
     // Read the input file
-    FILE* input_file = fopen(input_filename.c_str(), "r");
-    if (!input_file) {
-        fprintf(stdout, "Failed to open input file: %s\n", input_filename.c_str());
-        return 1;
+    std::string input_str;
+    {
+        std::ifstream input_file(input_filename);
+        GGML_ASSERT(input_file.is_open() && "Failed to open input file");
+        std::stringstream buffer;
+        buffer << input_file.rdbuf();
+        input_str = buffer.str();
     }
 
-    fseek(input_file, 0, SEEK_END);
-    size_t input_size = ftell(input_file);
-    fseek(input_file, 0, SEEK_SET);
-
-    std::string input_str(input_size, ' ');
-    fread(&input_str[0], 1, input_size, input_file);
-    fclose(input_file);
-
     // Validate the input string against the grammar
     size_t error_pos;
     std::string error_msg;
diff --git a/examples/gguf-split/CMakeLists.txt b/examples/gguf-split/CMakeLists.txt
index 828e62435..f63887da7 100644
--- a/examples/gguf-split/CMakeLists.txt
+++ b/examples/gguf-split/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET gguf-split)
+set(TARGET llama-gguf-split)
 add_executable(${TARGET} gguf-split.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/gguf-split/tests.sh b/examples/gguf-split/tests.sh
index 3bc0fa471..d5a92d605 100755
--- a/examples/gguf-split/tests.sh
+++ b/examples/gguf-split/tests.sh
@@ -18,8 +18,8 @@ fi
 
 set -x
 
-SPLIT=$1/gguf-split
-MAIN=$1/main
+SPLIT=$1/llama-gguf-split
+MAIN=$1/llama-cli
 WORK_PATH=$TMP_DIR/gguf-split
 ROOT_DIR=$(realpath $(dirname $0)/../../)
 
diff --git a/examples/gguf/CMakeLists.txt b/examples/gguf/CMakeLists.txt
index 6481f087b..a9569b411 100644
--- a/examples/gguf/CMakeLists.txt
+++ b/examples/gguf/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET gguf)
+set(TARGET llama-gguf)
 add_executable(${TARGET} gguf.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE ggml ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/gritlm/CMakeLists.txt b/examples/gritlm/CMakeLists.txt
index ac4a5ae79..86dfddca3 100644
--- a/examples/gritlm/CMakeLists.txt
+++ b/examples/gritlm/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET gritlm)
+set(TARGET llama-gritlm)
 add_executable(${TARGET} gritlm.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/gritlm/README.md b/examples/gritlm/README.md
index a3a3c1389..786ba5736 100644
--- a/examples/gritlm/README.md
+++ b/examples/gritlm/README.md
@@ -26,7 +26,7 @@ $ scripts/hf.sh --repo cohesionet/GritLM-7B_gguf --file gritlm-7b_q4_1.gguf --ou
 
 Run the example using the downloaded model:
 ```console
-$ ./gritlm -m models/gritlm-7b_q4_1.gguf
+$ ./llama-gritlm -m models/gritlm-7b_q4_1.gguf
 
 Cosine similarity between "Bitcoin: A Peer-to-Peer Electronic Cash System" and "A purely peer-to-peer version of electronic cash w" is: 0.605
 Cosine similarity between "Bitcoin: A Peer-to-Peer Electronic Cash System" and "All text-based language problems can be reduced to" is: 0.103
diff --git a/examples/imatrix/CMakeLists.txt b/examples/imatrix/CMakeLists.txt
index d688a1620..d4c8265bd 100644
--- a/examples/imatrix/CMakeLists.txt
+++ b/examples/imatrix/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET imatrix)
+set(TARGET llama-imatrix)
 add_executable(${TARGET} imatrix.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/imatrix/README.md b/examples/imatrix/README.md
index 866ca9f56..38b36ee5a 100644
--- a/examples/imatrix/README.md
+++ b/examples/imatrix/README.md
@@ -6,7 +6,7 @@ More information is available here: https://github.com/ggerganov/llama.cpp/pull/
 ## Usage
 
 ```
-./imatrix \
+./llama-imatrix \
     -m model.gguf -f some-text.txt [-o imatrix.dat] [--process-output] [--verbosity 1] \
     [--no-ppl] [--chunk 123] [--output-frequency 10] [--save-frequency 0] \
     [--in-file imatrix-prev-0.dat --in-file imatrix-prev-1.dat ...]
@@ -28,8 +28,8 @@ For faster computation, make sure to use GPU offloading via the `-ngl` argument
 LLAMA_CUDA=1 make -j
 
 # generate importance matrix (imatrix.dat)
-./imatrix -m ggml-model-f16.gguf -f train-data.txt -ngl 99
+./llama-imatrix -m ggml-model-f16.gguf -f train-data.txt -ngl 99
 
 # use the imatrix to perform a Q4_K_M quantization
-./quantize --imatrix imatrix.dat ggml-model-f16.gguf ./ggml-model-q4_k_m.gguf q4_k_m
+./llama-quantize --imatrix imatrix.dat ggml-model-f16.gguf ./ggml-model-q4_k_m.gguf q4_k_m
 ```
diff --git a/examples/infill/CMakeLists.txt b/examples/infill/CMakeLists.txt
index e4e8028da..9b1aa3b63 100644
--- a/examples/infill/CMakeLists.txt
+++ b/examples/infill/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET infill)
+set(TARGET llama-infill)
 add_executable(${TARGET} infill.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/infill/README.md b/examples/infill/README.md
index 6b076c839..74f42d2fc 100644
--- a/examples/infill/README.md
+++ b/examples/infill/README.md
@@ -42,5 +42,5 @@ scripts/hf.sh --repo TheBloke/CodeLlama-13B-GGUF --file codellama-13b.Q5_K_S.ggu
 ```
 
 ```bash
-./infill -t 10 -ngl 0 -m models/codellama-13b.Q5_K_S.gguf -c 4096 --temp 0.7 --repeat_penalty 1.1 -n 20 --in-prefix "def helloworld():\n    print(\"hell" --in-suffix "\n   print(\"goodbye world\")\n    "
+./llama-infill -t 10 -ngl 0 -m models/codellama-13b.Q5_K_S.gguf -c 4096 --temp 0.7 --repeat_penalty 1.1 -n 20 --in-prefix "def helloworld():\n    print(\"hell" --in-suffix "\n   print(\"goodbye world\")\n    "
 ```
diff --git a/examples/jeopardy/jeopardy.sh b/examples/jeopardy/jeopardy.sh
index 9bdbc755c..07bcb3b8d 100755
--- a/examples/jeopardy/jeopardy.sh
+++ b/examples/jeopardy/jeopardy.sh
@@ -21,7 +21,7 @@ counter=1
 echo 'Running'
 while IFS= read -r question
 do
-  exe_cmd="./main -p "\"$prefix$introduction$nl$prefix$question\"" "$opts" -m ""\"$MODEL\""" >> ""\"$output_file\""
+  exe_cmd="./llama-cli -p "\"$prefix$introduction$nl$prefix$question\"" "$opts" -m ""\"$MODEL\""" >> ""\"$output_file\""
   echo $counter
   echo "Current Question: $question"
   eval "$exe_cmd"
diff --git a/examples/json-schema-pydantic-example.py b/examples/json-schema-pydantic-example.py
index 69ebfd409..cc64e572b 100644
--- a/examples/json-schema-pydantic-example.py
+++ b/examples/json-schema-pydantic-example.py
@@ -1,5 +1,5 @@
 # Usage:
-#! ./server -m some-model.gguf &
+#! ./llama-server -m some-model.gguf &
 #! pip install pydantic
 #! python json-schema-pydantic-example.py
 
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index ab19e20df..b588497b9 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -523,7 +523,7 @@ class SchemaConverter:
 def main(args_in = None):
     parser = argparse.ArgumentParser(
         description='''
-            Generates a grammar (suitable for use in ./main) that produces JSON conforming to a
+            Generates a grammar (suitable for use in ./llama-cli) that produces JSON conforming to a
             given JSON schema. Only a subset of JSON schema features are supported; more may be
             added in the future.
         ''',
diff --git a/examples/llama-bench/README.md b/examples/llama-bench/README.md
index fd95b35f4..52b0e74d3 100644
--- a/examples/llama-bench/README.md
+++ b/examples/llama-bench/README.md
@@ -1,4 +1,4 @@
-# llama.cpp/example/llama-bench
+# llama.cpp/examples/llama-bench
 
 Performance testing tool for llama.cpp.
 
diff --git a/examples/llava/CMakeLists.txt b/examples/llava/CMakeLists.txt
index 2985caff8..e9fa73acb 100644
--- a/examples/llava/CMakeLists.txt
+++ b/examples/llava/CMakeLists.txt
@@ -30,8 +30,9 @@ if(TARGET BUILD_INFO)
     add_dependencies(llava BUILD_INFO)
 endif()
 
-set(TARGET llava-cli)
-add_executable(llava-cli llava-cli.cpp)
-install(TARGETS llava-cli RUNTIME)
-target_link_libraries(llava-cli PRIVATE common llava ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(llava PRIVATE cxx_std_11)
+set(TARGET llama-llava-cli)
+add_executable(${TARGET} llava-cli.cpp)
+set_target_properties(${TARGET} PROPERTIES OUTPUT_NAME llama-llava-cli)
+install(TARGETS ${TARGET} RUNTIME)
+target_link_libraries(${TARGET} PRIVATE common llava ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/llava/MobileVLM-README.md b/examples/llava/MobileVLM-README.md
index 74f021dec..05a8207e6 100644
--- a/examples/llava/MobileVLM-README.md
+++ b/examples/llava/MobileVLM-README.md
@@ -9,12 +9,12 @@ The implementation is based on llava, and is compatible with llava and mobileVLM
 Notice: The overall process of model inference for both **MobileVLM** and **MobileVLM_V2** models is the same, but the process of model conversion is a little different. Therefore, using **MobileVLM-1.7B** as an example, the different conversion step will be shown.
 
 ## Usage
-Build with cmake or run `make llava-cli` to build it.
+Build with cmake or run `make llama-llava-cli` to build it.
 
-After building, run: `./llava-cli` to see the usage. For example:
+After building, run: `./llama-llava-cli` to see the usage. For example:
 
 ```sh
-./llava-cli -m MobileVLM-1.7B/ggml-model-q4_k.gguf \
+./llama-llava-cli -m MobileVLM-1.7B/ggml-model-q4_k.gguf \
     --mmproj MobileVLM-1.7B/mmproj-model-f16.gguf \
     --image path/to/an/image.jpg \
     -p "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\nWho is the author of this book? Answer the question using a single word or phrase. ASSISTANT:"
@@ -62,7 +62,7 @@ python ./examples/convert-legacy-llama.py path/to/MobileVLM-1.7B
 
 5. Use `quantize` to convert LLaMA part's DataType from `fp16` to `q4_k`
 ```sh
-./quantize path/to/MobileVLM-1.7B/ggml-model-f16.gguf path/to/MobileVLM-1.7B/ggml-model-q4_k.gguf q4_k_s
+./llama-quantize path/to/MobileVLM-1.7B/ggml-model-f16.gguf path/to/MobileVLM-1.7B/ggml-model-q4_k.gguf q4_k_s
 ```
 
 Now both the LLaMA part and the image encoder is in the `MobileVLM-1.7B` directory.
@@ -82,7 +82,7 @@ refer to `android/adb_run.sh`, modify resources' `name` and `path`
 ### case 1
 **input**
 ```sh
-/data/local/tmp/llava-cli \
+/data/local/tmp/llama-llava-cli \
     -m /data/local/tmp/ggml-model-q4_k.gguf \
     --mmproj /data/local/tmp/mmproj-model-f16.gguf \
     -t 4 \
@@ -102,7 +102,7 @@ llama_print_timings:       total time =   34731.93 ms
 ### case 2
 **input**
 ```sh
-/data/local/tmp/llava-cli \
+/data/local/tmp/llama-llava-cli \
     -m /data/local/tmp/ggml-model-q4_k.gguf \
     --mmproj /data/local/tmp/mmproj-model-f16.gguf \
     -t 4 \
@@ -126,7 +126,7 @@ llama_print_timings:       total time =   34570.79 ms
 #### llava-cli release-b2005
 **input**
 ```sh
-/data/local/tmp/llava-cli \
+/data/local/tmp/llama-llava-cli \
     -m /data/local/tmp/ggml-model-q4_k.gguf \
     --mmproj /data/local/tmp/mmproj-model-f16.gguf \
     -t 4 \
@@ -200,7 +200,7 @@ make LLAMA_CUDA=1 CUDA_DOCKER_ARCH=sm_87 LLAMA_CUDA_F16=1 -j 32
 ### case 1
 **input**
 ```sh
-./llava-cli \
+./llama-llava-cli \
     -m /data/local/tmp/ggml-model-q4_k.gguf \
     --mmproj /data/local/tmp/mmproj-model-f16.gguf \
     --image /data/local/tmp/demo.jpeg \
@@ -224,7 +224,7 @@ llama_print_timings:       total time =    1352.63 ms /   252 tokens
 ### case 2
 **input**
 ```sh
-./llava-cli \
+./llama-llava-cli \
     -m /data/local/tmp/ggml-model-q4_k.gguf \
     --mmproj /data/local/tmp/mmproj-model-f16.gguf \
     -p "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\nWhat is in the image? ASSISTANT:" \
diff --git a/examples/llava/README.md b/examples/llava/README.md
index 8d1ae5270..f4554de67 100644
--- a/examples/llava/README.md
+++ b/examples/llava/README.md
@@ -11,12 +11,12 @@ For llava-1.6 a variety of prepared gguf models are available as well [7b-34b](h
 After API is confirmed, more models will be supported / uploaded.
 
 ## Usage
-Build with cmake or run `make llava-cli` to build it.
+Build with cmake or run `make llama-llava-cli` to build it.
 
-After building, run: `./llava-cli` to see the usage. For example:
+After building, run: `./llama-llava-cli` to see the usage. For example:
 
 ```sh
-./llava-cli -m ../llava-v1.5-7b/ggml-model-f16.gguf --mmproj ../llava-v1.5-7b/mmproj-model-f16.gguf --image path/to/an/image.jpg
+./llama-llava-cli -m ../llava-v1.5-7b/ggml-model-f16.gguf --mmproj ../llava-v1.5-7b/mmproj-model-f16.gguf --image path/to/an/image.jpg
 ```
 
 **note**: A lower temperature like 0.1 is recommended for better quality. add `--temp 0.1` to the command to do so.
@@ -95,9 +95,9 @@ python ./examples/llava/convert-image-encoder-to-gguf.py -m vit --llava-projecto
 python ./examples/convert-legacy-llama.py ../llava-v1.6-vicuna-7b/ --skip-unknown
 ```
 
-7) And finally we can run the llava-cli using the 1.6 model version:
+7) And finally we can run the llava cli using the 1.6 model version:
 ```console
-./llava-cli -m ../llava-v1.6-vicuna-7b/ggml-model-f16.gguf --mmproj vit/mmproj-model-f16.gguf --image some-image.jpg -c 4096
+./llama-llava-cli -m ../llava-v1.6-vicuna-7b/ggml-model-f16.gguf --mmproj vit/mmproj-model-f16.gguf --image some-image.jpg -c 4096
 ```
 
 **note** llava-1.6 needs more context than llava-1.5, at least 3000 is needed (just run it at -c 4096)
diff --git a/examples/llava/android/adb_run.sh b/examples/llava/android/adb_run.sh
index f73623ae3..45ccf8d70 100755
--- a/examples/llava/android/adb_run.sh
+++ b/examples/llava/android/adb_run.sh
@@ -10,7 +10,7 @@ prompt="A chat between a curious user and an artificial intelligence assistant.
 # prompt="A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\nWhat is in the image? ASSISTANT:"
 
 program_dir="build_64/bin"
-binName="llava-cli"
+binName="llama-llava-cli"
 n_threads=4
 
 
diff --git a/examples/lookahead/CMakeLists.txt b/examples/lookahead/CMakeLists.txt
index 8827e3f11..f0ae5cd89 100644
--- a/examples/lookahead/CMakeLists.txt
+++ b/examples/lookahead/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET lookahead)
+set(TARGET llama-lookahead)
 add_executable(${TARGET} lookahead.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/lookup/CMakeLists.txt b/examples/lookup/CMakeLists.txt
index b91633f63..ef19fe25e 100644
--- a/examples/lookup/CMakeLists.txt
+++ b/examples/lookup/CMakeLists.txt
@@ -1,22 +1,22 @@
-set(TARGET lookup)
+set(TARGET llama-lookup)
 add_executable(${TARGET} lookup.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 
-set(TARGET lookup-create)
+set(TARGET llama-lookup-create)
 add_executable(${TARGET} lookup-create.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 
-set(TARGET lookup-merge)
+set(TARGET llama-lookup-merge)
 add_executable(${TARGET} lookup-merge.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 
-set(TARGET lookup-stats)
+set(TARGET llama-lookup-stats)
 add_executable(${TARGET} lookup-stats.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/lookup/lookup-merge.cpp b/examples/lookup/lookup-merge.cpp
index 07c93eb8d..81e2b0436 100644
--- a/examples/lookup/lookup-merge.cpp
+++ b/examples/lookup/lookup-merge.cpp
@@ -11,14 +11,14 @@
 #include <unordered_map>
 #include <vector>
 
-static void print_usage() {
+static void print_usage(char* argv0) {
     fprintf(stderr, "Merges multiple lookup cache files into a single one.\n");
-    fprintf(stderr, "Usage: lookup-merge [--help] lookup_part_1.bin lookup_part_2.bin ... lookup_merged.bin\n");
+    fprintf(stderr, "Usage: %s [--help] lookup_part_1.bin lookup_part_2.bin ... lookup_merged.bin\n", argv0);
 }
 
 int main(int argc, char ** argv){
     if (argc < 3) {
-        print_usage();
+        print_usage(argv[0]);
         exit(1);
     }
 
@@ -27,7 +27,7 @@ int main(int argc, char ** argv){
     for (int i = 0; i < argc-1; ++i) {
         args[i] = argv[i+1];
         if (args[i] == "-h" || args[i] == "--help") {
-            print_usage();
+            print_usage(argv[0]);
             exit(0);
         }
     }
diff --git a/examples/main-cmake-pkg/CMakeLists.txt b/examples/main-cmake-pkg/CMakeLists.txt
index deb77d588..a97ded365 100644
--- a/examples/main-cmake-pkg/CMakeLists.txt
+++ b/examples/main-cmake-pkg/CMakeLists.txt
@@ -1,12 +1,12 @@
 cmake_minimum_required(VERSION 3.12)
-project("main-cmake-pkg" C CXX)
-set(TARGET main-cmake-pkg)
+project("llama-cli-cmake-pkg" C CXX)
+set(TARGET llama-cli-cmake-pkg)
 
 find_package(Llama 0.0.1 REQUIRED)
 
 # Bake common functionality in with target. Because applications
 # using the relocatable Llama package should be outside of the
-# source tree, main-cmake-pkg pretends the dependencies are built-in.
+# source tree, llama-cli-cmake-pkg pretends the dependencies are built-in.
 set(_common_path "${CMAKE_CURRENT_LIST_DIR}/../../common")
 add_library(common OBJECT)
 file(GLOB _common_files
@@ -15,7 +15,7 @@ file(GLOB _common_files
 )
 target_sources(common PRIVATE ${_common_files})
 
-# If the common project was part of "main-cmake-pkg" the transient
+# If the common project was part of "llama-cli-cmake-pkg" the transient
 # defines would automatically be attached. Because the common func-
 # tionality is separate, but dependent upon the defines, it must be
 # explicitly extracted from the "llama" target.
diff --git a/examples/main-cmake-pkg/README.md b/examples/main-cmake-pkg/README.md
index a88e92f23..08d83dd08 100644
--- a/examples/main-cmake-pkg/README.md
+++ b/examples/main-cmake-pkg/README.md
@@ -1,6 +1,6 @@
 # llama.cpp/example/main-cmake-pkg
 
-This program builds the [main](../main) application using a relocatable CMake package. It serves as an example of using the `find_package()` CMake command to conveniently include [llama.cpp](https://github.com/ggerganov/llama.cpp) in projects which live outside of the source tree.
+This program builds [llama-cli](../main) using a relocatable CMake package. It serves as an example of using the `find_package()` CMake command to conveniently include [llama.cpp](https://github.com/ggerganov/llama.cpp) in projects which live outside of the source tree.
 
 ## Building
 
@@ -20,7 +20,7 @@ cmake --build build --config Release
 cmake --install build --prefix C:/LlamaCPP
 ```
 
-### Build main-cmake-pkg
+### Build llama-cli-cmake-pkg
 
 
 ```cmd
diff --git a/examples/main/CMakeLists.txt b/examples/main/CMakeLists.txt
index d532980b7..5f6efaa9a 100644
--- a/examples/main/CMakeLists.txt
+++ b/examples/main/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET main)
+set(TARGET llama-cli)
 add_executable(${TARGET} main.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/main/README.md b/examples/main/README.md
index cdc002f15..61e4a42f7 100644
--- a/examples/main/README.md
+++ b/examples/main/README.md
@@ -1,4 +1,4 @@
-# llama.cpp/example/main
+# llama.cpp/examples/main
 
 This example program allows you to use various LLaMA language models in an easy and efficient way. It is specifically designed to work with the [llama.cpp](https://github.com/ggerganov/llama.cpp) project, which provides a plain C/C++ implementation with optional 4-bit quantization support for faster, lower memory inference, and is optimized for desktop CPUs. This program can be used to perform various inference tasks with LLaMA models, including generating text based on user-provided prompts and chat-like interactions with reverse prompts.
 
@@ -20,13 +20,13 @@ To get started right away, run the following command, making sure to use the cor
 #### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./main -m models/7B/ggml-model.bin --prompt "Once upon a time"
+./llama-cli -m models/7B/ggml-model.bin --prompt "Once upon a time"
 ```
 
 #### Windows:
 
 ```powershell
-main.exe -m models\7B\ggml-model.bin --prompt "Once upon a time"
+llama-cli.exe -m models\7B\ggml-model.bin --prompt "Once upon a time"
 ```
 
 For an interactive experience, try this command:
@@ -34,7 +34,7 @@ For an interactive experience, try this command:
 #### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./main -m models/7B/ggml-model.bin -n -1 --color -r "User:" --in-prefix " " -i -p \
+./llama-cli -m models/7B/ggml-model.bin -n -1 --color -r "User:" --in-prefix " " -i -p \
 'User: Hi
 AI: Hello. I am an AI chatbot. Would you like to talk?
 User: Sure!
@@ -45,7 +45,7 @@ User:'
 #### Windows:
 
 ```powershell
-main.exe -m models\7B\ggml-model.bin -n -1 --color -r "User:" --in-prefix " " -i -e -p "User: Hi\nAI: Hello. I am an AI chatbot. Would you like to talk?\nUser: Sure!\nAI: What would you like to talk about?\nUser:"
+llama-cli.exe -m models\7B\ggml-model.bin -n -1 --color -r "User:" --in-prefix " " -i -e -p "User: Hi\nAI: Hello. I am an AI chatbot. Would you like to talk?\nUser: Sure!\nAI: What would you like to talk about?\nUser:"
 ```
 
 The following command generates "infinite" text from a starting prompt (you can use `Ctrl-C` to stop it):
@@ -53,18 +53,18 @@ The following command generates "infinite" text from a starting prompt (you can
 #### Unix-based systems (Linux, macOS, etc.):
 
 ```bash
-./main -m models/7B/ggml-model.bin --ignore-eos -n -1
+./llama-cli -m models/7B/ggml-model.bin --ignore-eos -n -1
 ```
 
 #### Windows:
 
 ```powershell
-main.exe -m models\7B\ggml-model.bin --ignore-eos -n -1
+llama-cli.exe -m models\7B\ggml-model.bin --ignore-eos -n -1
 ```
 
 ## Common Options
 
-In this section, we cover the most commonly used options for running the `main` program with the LLaMA models:
+In this section, we cover the most commonly used options for running the `llama-cli` program with the LLaMA models:
 
 -   `-m FNAME, --model FNAME`: Specify the path to the LLaMA model file (e.g., `models/7B/ggml-model.gguf`; inferred from `--model-url` if set).
 -   `-mu MODEL_URL --model-url MODEL_URL`: Specify a remote http url to download the file (e.g https://huggingface.co/ggml-org/models/resolve/main/phi-2/ggml-model-q4_0.gguf).
@@ -74,7 +74,7 @@ In this section, we cover the most commonly used options for running the `main`
 
 ## Input Prompts
 
-The `main` program provides several ways to interact with the LLaMA models using input prompts:
+The `llama-cli` program provides several ways to interact with the LLaMA models using input prompts:
 
 -   `--prompt PROMPT`: Provide a prompt directly as a command-line option.
 -   `--file FNAME`: Provide a file containing a prompt or multiple prompts.
@@ -82,7 +82,7 @@ The `main` program provides several ways to interact with the LLaMA models using
 
 ## Interaction
 
-The `main` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
+The `llama-cli` program offers a seamless way to interact with LLaMA models, allowing users to engage in real-time conversations or provide instructions for specific tasks. The interactive mode can be triggered using various options, including `--interactive` and `--interactive-first`.
 
 In interactive mode, users can participate in text generation by injecting their input during the process. Users can press `Ctrl+C` at any time to interject and type their input, followed by pressing `Return` to submit it to the LLaMA model. To submit additional lines without finalizing input, users can end the current line with a backslash (`\`) and continue typing.
 
@@ -107,7 +107,7 @@ To overcome this limitation, you can use the `--in-prefix` flag to add a space o
 The `--in-prefix` flag is used to add a prefix to your input, primarily, this is used to insert a space after the reverse prompt. Here's an example of how to use the `--in-prefix` flag in conjunction with the `--reverse-prompt` flag:
 
 ```sh
-./main -r "User:" --in-prefix " "
+./llama-cli -r "User:" --in-prefix " "
 ```
 
 ### In-Suffix
@@ -115,7 +115,7 @@ The `--in-prefix` flag is used to add a prefix to your input, primarily, this is
 The `--in-suffix` flag is used to add a suffix after your input. This is useful for adding an "Assistant:" prompt after the user's input. It's added after the new-line character (`\n`) that's automatically added to the end of the user's input. Here's an example of how to use the `--in-suffix` flag in conjunction with the `--reverse-prompt` flag:
 
 ```sh
-./main -r "User:" --in-prefix " " --in-suffix "Assistant:"
+./llama-cli -r "User:" --in-prefix " " --in-suffix "Assistant:"
 ```
 
 ## Context Management
diff --git a/examples/parallel/CMakeLists.txt b/examples/parallel/CMakeLists.txt
index 319535a6e..c13557bac 100644
--- a/examples/parallel/CMakeLists.txt
+++ b/examples/parallel/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET parallel)
+set(TARGET llama-parallel)
 add_executable(${TARGET} parallel.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/passkey/CMakeLists.txt b/examples/passkey/CMakeLists.txt
index 3161bf3ef..dc467a5d3 100644
--- a/examples/passkey/CMakeLists.txt
+++ b/examples/passkey/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET passkey)
+set(TARGET llama-passkey)
 add_executable(${TARGET} passkey.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/passkey/README.md b/examples/passkey/README.md
index 9e7a119ba..a48a6283a 100644
--- a/examples/passkey/README.md
+++ b/examples/passkey/README.md
@@ -8,5 +8,5 @@ See the following PRs for more info:
 ### Usage
 
 ```bash
-make -j && ./passkey -m ./models/llama-7b-v2/ggml-model-f16.gguf --junk 250
+make -j && ./llama-passkey -m ./models/llama-7b-v2/ggml-model-f16.gguf --junk 250
 ```
diff --git a/examples/perplexity/CMakeLists.txt b/examples/perplexity/CMakeLists.txt
index 3c76d3221..be0f2fd02 100644
--- a/examples/perplexity/CMakeLists.txt
+++ b/examples/perplexity/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET perplexity)
+set(TARGET llama-perplexity)
 add_executable(${TARGET} perplexity.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/perplexity/perplexity.cpp b/examples/perplexity/perplexity.cpp
index 0bd78c21a..efde8dfdf 100644
--- a/examples/perplexity/perplexity.cpp
+++ b/examples/perplexity/perplexity.cpp
@@ -476,7 +476,7 @@ static results_perplexity perplexity(llama_context * ctx, const gpt_params & par
     }
 
     // Download: https://huggingface.co/datasets/ggml-org/ci/resolve/main/wikitext-2-raw-v1.zip
-    // Run `./perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
+    // Run `./llama-perplexity -m models/7B/ggml-model-q4_0.bin -f wiki.test.raw`
     // Output: `perplexity: 13.5106 [114/114]`
     // BOS tokens will be added for each chunk before eval
 
diff --git a/examples/quantize-stats/CMakeLists.txt b/examples/quantize-stats/CMakeLists.txt
index e31cf5e38..bb986a716 100644
--- a/examples/quantize-stats/CMakeLists.txt
+++ b/examples/quantize-stats/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET quantize-stats)
+set(TARGET llama-quantize-stats)
 add_executable(${TARGET} quantize-stats.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE llama build_info ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/quantize/CMakeLists.txt b/examples/quantize/CMakeLists.txt
index 6b977fde8..3ee4eb971 100644
--- a/examples/quantize/CMakeLists.txt
+++ b/examples/quantize/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET quantize)
+set(TARGET llama-quantize)
 add_executable(${TARGET} quantize.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/quantize/tests.sh b/examples/quantize/tests.sh
index 38e28ffc3..24bc970e8 100644
--- a/examples/quantize/tests.sh
+++ b/examples/quantize/tests.sh
@@ -18,9 +18,9 @@ fi
 
 set -x
 
-SPLIT=$1/gguf-split
-QUANTIZE=$1/quantize
-MAIN=$1/main
+SPLIT=$1/llama-gguf-split
+QUANTIZE=$1/llama-quantize
+MAIN=$1/llama-cli
 WORK_PATH=$TMP_DIR/quantize
 ROOT_DIR=$(realpath $(dirname $0)/../../)
 
diff --git a/examples/reason-act.sh b/examples/reason-act.sh
index 046c48db5..06d592799 100755
--- a/examples/reason-act.sh
+++ b/examples/reason-act.sh
@@ -8,7 +8,7 @@ if [ "$1" == "-m" ]; then
   MODEL="-m $2 "
 fi
 
-./main $MODEL --color \
+./llama-cli $MODEL --color \
     -f ./prompts/reason-act.txt \
     -i --interactive-first \
     --top_k 10000 --temp 0.2 --repeat_penalty 1 -t 7 -c 2048 \
diff --git a/examples/retrieval/CMakeLists.txt b/examples/retrieval/CMakeLists.txt
index eaabae08d..66610f311 100644
--- a/examples/retrieval/CMakeLists.txt
+++ b/examples/retrieval/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET retrieval)
+set(TARGET llama-retrieval)
 add_executable(${TARGET} retrieval.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/retrieval/README.md b/examples/retrieval/README.md
index 2b2595c46..bc5f22e2f 100644
--- a/examples/retrieval/README.md
+++ b/examples/retrieval/README.md
@@ -15,7 +15,7 @@ https://github.com/ggerganov/llama.cpp/pull/6193
 `retrieval` example can be tested as follows:
 
 ```bash
-make -j && ./retrieval --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator .
+make -j && ./llama-retrieval --model ./models/bge-base-en-v1.5-f16.gguf --top-k 3 --context-file README.md --context-file License --chunk-size 100 --chunk-separator .
 ```
 
 This chunks and embeds all given files and starts a loop requesting query inputs:
diff --git a/examples/rpc/README.md b/examples/rpc/README.md
index eeec71a8e..86544e3fe 100644
--- a/examples/rpc/README.md
+++ b/examples/rpc/README.md
@@ -70,5 +70,5 @@ cmake --build . --config Release
 Finally, use the `--rpc` option to specify the host and port of each `rpc-server`:
 
 ```bash
-$ bin/main -m ../models/tinyllama-1b/ggml-model-f16.gguf -p "Hello, my name is" --repeat-penalty 1.0 -n 64 --rpc 192.168.88.10:50052,192.168.88.11:50052 -ngl 99
+$ bin/llama-cli -m ../models/tinyllama-1b/ggml-model-f16.gguf -p "Hello, my name is" --repeat-penalty 1.0 -n 64 --rpc 192.168.88.10:50052,192.168.88.11:50052 -ngl 99
 ```
diff --git a/examples/save-load-state/CMakeLists.txt b/examples/save-load-state/CMakeLists.txt
index cc6ed8554..0fb5e359b 100644
--- a/examples/save-load-state/CMakeLists.txt
+++ b/examples/save-load-state/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET save-load-state)
+set(TARGET llama-save-load-state)
 add_executable(${TARGET} save-load-state.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/server-llama2-13B.sh b/examples/server-llama2-13B.sh
index 17fedc2b1..4ce79b7fa 100755
--- a/examples/server-llama2-13B.sh
+++ b/examples/server-llama2-13B.sh
@@ -16,7 +16,7 @@ GEN_OPTIONS="${GEN_OPTIONS:---ctx_size 4096 --batch-size 1024}"
 
 
 # shellcheck disable=SC2086 # Intended splitting of GEN_OPTIONS
-./server $GEN_OPTIONS \
+./llama-server $GEN_OPTIONS \
   --model "$MODEL" \
   --threads "$N_THREAD" \
   --rope-freq-scale 1.0 \
diff --git a/examples/server/CMakeLists.txt b/examples/server/CMakeLists.txt
index dab709619..8365f9510 100644
--- a/examples/server/CMakeLists.txt
+++ b/examples/server/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET server)
+set(TARGET llama-server)
 option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
 option(LLAMA_SERVER_SSL "Build SSL support for the server" OFF)
 include_directories(${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_BINARY_DIR})
diff --git a/examples/server/README.md b/examples/server/README.md
index ccbdcdbdb..e7fb0bf64 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -80,26 +80,26 @@ The project is under active development, and we are [looking for feedback and co
 
 ## Build
 
-`server` is built alongside everything else from the root of the project
+`llama-server` is built alongside everything else from the root of the project
 
 - Using `make`:
 
   ```bash
-  make server
+  make llama-server
   ```
 
 - Using `CMake`:
 
   ```bash
   cmake -B build
-  cmake --build build --config Release -t server
+  cmake --build build --config Release -t llama-server
   ```
 
-  Binary is at `./build/bin/server`
+  Binary is at `./build/bin/llama-server`
 
 ## Build with SSL
 
-`server` can also be built with SSL support using OpenSSL 3
+`llama-server` can also be built with SSL support using OpenSSL 3
 
 - Using `make`:
 
@@ -107,14 +107,14 @@ The project is under active development, and we are [looking for feedback and co
   # NOTE: For non-system openssl, use the following:
   #   CXXFLAGS="-I /path/to/openssl/include"
   #   LDFLAGS="-L /path/to/openssl/lib"
-  make LLAMA_SERVER_SSL=true server
+  make LLAMA_SERVER_SSL=true llama-server
   ```
 
 - Using `CMake`:
 
   ```bash
   cmake -B build -DLLAMA_SERVER_SSL=ON
-  cmake --build build --config Release -t server
+  cmake --build build --config Release -t llama-server
   ```
 
 ## Quick Start
@@ -124,13 +124,13 @@ To get started right away, run the following command, making sure to use the cor
 ### Unix-based systems (Linux, macOS, etc.)
 
 ```bash
-./server -m models/7B/ggml-model.gguf -c 2048
+./llama-server -m models/7B/ggml-model.gguf -c 2048
 ```
 
 ### Windows
 
 ```powershell
-server.exe -m models\7B\ggml-model.gguf -c 2048
+llama-server.exe -m models\7B\ggml-model.gguf -c 2048
 ```
 
 The above command will start a server that by default listens on `127.0.0.1:8080`.
@@ -629,11 +629,11 @@ bash chat.sh
 
 ### OAI-like API
 
-The HTTP `server` supports an OAI-like API: https://github.com/openai/openai-openapi
+The HTTP `llama-server` supports an OAI-like API: https://github.com/openai/openai-openapi
 
 ### API errors
 
-`server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi
+`llama-server` returns errors in the same format as OAI: https://github.com/openai/openai-openapi
 
 Example of an error:
 
diff --git a/examples/server/bench/README.md b/examples/server/bench/README.md
index 23a3ec975..0f18ca396 100644
--- a/examples/server/bench/README.md
+++ b/examples/server/bench/README.md
@@ -99,7 +99,7 @@ The `bench.py` script does several steps:
 It aims to be used in the CI, but you can run it manually:
 
 ```shell
-LLAMA_SERVER_BIN_PATH=../../../cmake-build-release/bin/server python bench.py \
+LLAMA_SERVER_BIN_PATH=../../../cmake-build-release/bin/llama-server python bench.py \
               --runner-label local \
               --name local \
               --branch `git rev-parse --abbrev-ref HEAD` \
diff --git a/examples/server/bench/bench.py b/examples/server/bench/bench.py
index 86c5de101..4fbbb2032 100644
--- a/examples/server/bench/bench.py
+++ b/examples/server/bench/bench.py
@@ -245,7 +245,7 @@ def start_server(args):
 
 def start_server_background(args):
     # Start the server
-    server_path = '../../../build/bin/server'
+    server_path = '../../../build/bin/llama-server'
     if 'LLAMA_SERVER_BIN_PATH' in os.environ:
         server_path = os.environ['LLAMA_SERVER_BIN_PATH']
     server_args = [
diff --git a/examples/server/public_simplechat/readme.md b/examples/server/public_simplechat/readme.md
index 36a46885d..2dc177825 100644
--- a/examples/server/public_simplechat/readme.md
+++ b/examples/server/public_simplechat/readme.md
@@ -44,12 +44,12 @@ http module.
 
 ### running using examples/server
 
-bin/server -m path/model.gguf --path ../examples/server/public_simplechat [--port PORT]
+./llama-server -m path/model.gguf --path examples/server/public_simplechat [--port PORT]
 
 ### running using python3's server module
 
 first run examples/server
-* bin/server -m path/model.gguf
+* ./llama-server -m path/model.gguf
 
 next run this web front end in examples/server/public_simplechat
 * cd ../examples/server/public_simplechat
diff --git a/examples/server/tests/README.md b/examples/server/tests/README.md
index 83c0208f3..5e6cb277b 100644
--- a/examples/server/tests/README.md
+++ b/examples/server/tests/README.md
@@ -27,10 +27,8 @@ To mitigate it, you can increase values in `n_predict`, `kv_size`.
 
 ```shell
 cd ../../..
-mkdir build
-cd build
-cmake -DLLAMA_CURL=ON ../
-cmake --build . --target server
+cmake -B build -DLLAMA_CURL=ON
+cmake --build build --target llama-server
 ```
 
 2. Start the test: `./tests.sh`
@@ -40,7 +38,7 @@ It's possible to override some scenario steps values with environment variables:
 | variable                 | description                                                                                    |
 |--------------------------|------------------------------------------------------------------------------------------------|
 | `PORT`                   | `context.server_port` to set the listening port of the server during scenario, default: `8080` |
-| `LLAMA_SERVER_BIN_PATH`  | to change the server binary path, default: `../../../build/bin/server`                         |
+| `LLAMA_SERVER_BIN_PATH`  | to change the server binary path, default: `../../../build/bin/llama-server`                         |
 | `DEBUG`                  | "ON" to enable steps and server verbose mode `--verbose`                                       |
 | `SERVER_LOG_FORMAT_JSON` | if set switch server logs to json format                                                       |
 | `N_GPU_LAYERS`           | number of model layers to offload to VRAM `-ngl --n-gpu-layers`                                |
diff --git a/examples/server/tests/features/steps/steps.py b/examples/server/tests/features/steps/steps.py
index 26d9359d7..7b5dabb01 100644
--- a/examples/server/tests/features/steps/steps.py
+++ b/examples/server/tests/features/steps/steps.py
@@ -1272,9 +1272,9 @@ def context_text(context):
 
 def start_server_background(context):
     if os.name == 'nt':
-        context.server_path = '../../../build/bin/Release/server.exe'
+        context.server_path = '../../../build/bin/Release/llama-server.exe'
     else:
-        context.server_path = '../../../build/bin/server'
+        context.server_path = '../../../build/bin/llama-server'
     if 'LLAMA_SERVER_BIN_PATH' in os.environ:
         context.server_path = os.environ['LLAMA_SERVER_BIN_PATH']
     server_listen_addr = context.server_fqdn
diff --git a/examples/simple/CMakeLists.txt b/examples/simple/CMakeLists.txt
index 7da5ff6f3..070cfbe7a 100644
--- a/examples/simple/CMakeLists.txt
+++ b/examples/simple/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET simple)
+set(TARGET llama-simple)
 add_executable(${TARGET} simple.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/speculative/CMakeLists.txt b/examples/speculative/CMakeLists.txt
index 810f3c46a..aa208e7aa 100644
--- a/examples/speculative/CMakeLists.txt
+++ b/examples/speculative/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET speculative)
+set(TARGET llama-speculative)
 add_executable(${TARGET} speculative.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/sycl/CMakeLists.txt b/examples/sycl/CMakeLists.txt
index 69cf8932e..e4d5083e6 100644
--- a/examples/sycl/CMakeLists.txt
+++ b/examples/sycl/CMakeLists.txt
@@ -2,7 +2,7 @@
 #  Copyright (C) 2024 Intel Corporation
 #  SPDX-License-Identifier: MIT
 
-set(TARGET ls-sycl-device)
+set(TARGET llama-ls-sycl-device)
 add_executable(${TARGET} ls-sycl-device.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/sycl/README.md b/examples/sycl/README.md
index c589c2d3a..0e3acd35b 100644
--- a/examples/sycl/README.md
+++ b/examples/sycl/README.md
@@ -6,9 +6,9 @@ This example program provides the tools for llama.cpp for SYCL on Intel GPU.
 
 |Tool Name| Function|Status|
 |-|-|-|
-|ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
+|llama-ls-sycl-device| List all SYCL devices with ID, compute capability, max work group size, ect.|Support|
 
-### ls-sycl-device
+### llama-ls-sycl-device
 
 List all SYCL devices with ID, compute capability, max work group size, ect.
 
@@ -23,7 +23,7 @@ source /opt/intel/oneapi/setvars.sh
 3. Execute
 
 ```
-./build/bin/ls-sycl-device
+./build/bin/llama-ls-sycl-device
 ```
 
 Check the ID in startup log, like:
diff --git a/examples/sycl/run-llama2.sh b/examples/sycl/run-llama2.sh
index 7b39a18c0..da0e4aaba 100755
--- a/examples/sycl/run-llama2.sh
+++ b/examples/sycl/run-llama2.sh
@@ -23,15 +23,15 @@ fi
 if [ $GGML_SYCL_SINGLE_GPU -eq 1 ]; then
     echo "use $GGML_SYCL_DEVICE as main GPU"
     #use signle GPU only
-    ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
+    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
 else
     #use multiple GPUs with same max compute units
-    ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
+    ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
 fi
 
 #use main GPU only
-#ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
+#ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0 -mg $GGML_SYCL_DEVICE -sm none
 
 #use multiple GPUs with same max compute units
-#ZES_ENABLE_SYSMAN=1 ./build/bin/main -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
+#ZES_ENABLE_SYSMAN=1 ./build/bin/llama-cli -m models/llama-2-7b.Q4_0.gguf -p "${INPUT2}" -n 400 -e -ngl 33 -s 0
 
diff --git a/examples/tokenize/CMakeLists.txt b/examples/tokenize/CMakeLists.txt
index 5e6654d7e..b704dcae1 100644
--- a/examples/tokenize/CMakeLists.txt
+++ b/examples/tokenize/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET tokenize)
+set(TARGET llama-tokenize)
 add_executable(${TARGET} tokenize.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/train-text-from-scratch/CMakeLists.txt b/examples/train-text-from-scratch/CMakeLists.txt
index 4459516d0..9a1d2a35e 100644
--- a/examples/train-text-from-scratch/CMakeLists.txt
+++ b/examples/train-text-from-scratch/CMakeLists.txt
@@ -1,4 +1,4 @@
-set(TARGET train-text-from-scratch)
+set(TARGET llama-train-text-from-scratch)
 add_executable(${TARGET} train-text-from-scratch.cpp)
 install(TARGETS ${TARGET} RUNTIME)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
diff --git a/examples/train-text-from-scratch/README.md b/examples/train-text-from-scratch/README.md
index 1b3454069..3abae2380 100644
--- a/examples/train-text-from-scratch/README.md
+++ b/examples/train-text-from-scratch/README.md
@@ -7,7 +7,7 @@ Basic usage instructions:
 wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/shakespeare.txt
 
 # train
-./bin/train-text-from-scratch \
+./bin/llama-train-text-from-scratch \
         --vocab-model ../models/ggml-vocab-llama.gguf \
         --ctx 64 --embd 256 --head 8 --layer 16 \
         --checkpoint-in  chk-shakespeare-256x16-LATEST.gguf \
@@ -18,7 +18,7 @@ wget https://raw.githubusercontent.com/brunoklein99/deep-learning-notes/master/s
         --no-checkpointing
 
 # predict
-./bin/main -m ggml-shakespeare-256x16-f32.gguf
+./bin/llama-cli -m ggml-shakespeare-256x16-f32.gguf
 ```
 
 Output files will be saved every N iterations (config with `--save-every N`).
diff --git a/flake.nix b/flake.nix
index 0a52ea52e..c69637d11 100644
--- a/flake.nix
+++ b/flake.nix
@@ -63,7 +63,7 @@
   # nix-repl> :lf github:ggerganov/llama.cpp
   # Added 13 variables.
   # nix-repl> outputs.apps.x86_64-linux.quantize
-  # { program = "/nix/store/00000000000000000000000000000000-llama.cpp/bin/quantize"; type = "app"; }
+  # { program = "/nix/store/00000000000000000000000000000000-llama.cpp/bin/llama-quantize"; type = "app"; }
   # ```
   outputs =
     { self, flake-parts, ... }@inputs:
diff --git a/grammars/README.md b/grammars/README.md
index 2ec21a4c0..2f685eb6d 100644
--- a/grammars/README.md
+++ b/grammars/README.md
@@ -91,7 +91,7 @@ item ::= [^\n]+ "\n"
 
 This guide provides a brief overview. Check out the GBNF files in this directory (`grammars/`) for examples of full grammars. You can try them out with:
 ```
-./main -m <model> --grammar-file grammars/some-grammar.gbnf -p 'Some prompt'
+./llama-cli -m <model> --grammar-file grammars/some-grammar.gbnf -p 'Some prompt'
 ```
 
 `llama.cpp` can also convert JSON schemas to grammars either ahead of time or at each request, see below.
@@ -110,20 +110,20 @@ While semantically correct, the syntax `x? x? x?.... x?` (with N repetitions) ma
 
 You can use GBNF grammars:
 
-- In the [server](../examples/server)'s completion endpoints, passed as the `grammar` body field
-- In the [main](../examples/main) CLI, passed as the `--grammar` & `--grammar-file` flags
-- With the [gbnf-validator](../examples/gbnf-validator) tool, to test them against strings.
+- In [llama-server](../examples/server)'s completion endpoints, passed as the `grammar` body field
+- In [llama-cli](../examples/main), passed as the `--grammar` & `--grammar-file` flags
+- With [llama-gbnf-validator](../examples/gbnf-validator) tool, to test them against strings.
 
 ## JSON Schemas → GBNF
 
 `llama.cpp` supports converting a subset of https://json-schema.org/ to GBNF grammars:
 
-- In the [server](../examples/server):
+- In [llama-server](../examples/server):
     - For any completion endpoints, passed as the `json_schema` body field
     - For the `/chat/completions` endpoint, passed inside the `result_format` body field (e.g. `{"type", "json_object", "schema": {"items": {}}}`)
-- In the [main](../examples/main) CLI, passed as the `--json` / `-j` flag
+- In [llama-cli](../examples/main), passed as the `--json` / `-j` flag
 - To convert to a grammar ahead of time:
-    - in CLI, with [json_schema_to_grammar.py](../examples/json_schema_to_grammar.py)
+    - in CLI, with [examples/json_schema_to_grammar.py](../examples/json_schema_to_grammar.py)
     - in JavaScript with [json-schema-to-grammar.mjs](../examples/server/public/json-schema-to-grammar.mjs) (this is used by the [server](../examples/server)'s Web UI)
 
 Take a look at [tests](../../tests/test-json-schema-to-grammar.cpp) to see which features are likely supported (you'll also find usage examples in https://github.com/ggerganov/llama.cpp/pull/5978, https://github.com/ggerganov/llama.cpp/pull/6659 & https://github.com/ggerganov/llama.cpp/pull/6555).
diff --git a/pocs/vdot/CMakeLists.txt b/pocs/vdot/CMakeLists.txt
index fb89a1cd4..d5405ad29 100644
--- a/pocs/vdot/CMakeLists.txt
+++ b/pocs/vdot/CMakeLists.txt
@@ -1,9 +1,9 @@
-set(TARGET vdot)
+set(TARGET llama-vdot)
 add_executable(${TARGET} vdot.cpp)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 
-set(TARGET q8dot)
+set(TARGET llama-q8dot)
 add_executable(${TARGET} q8dot.cpp)
 target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/scripts/get-hellaswag.sh b/scripts/get-hellaswag.sh
index 121979fe2..4e1b1cc15 100755
--- a/scripts/get-hellaswag.sh
+++ b/scripts/get-hellaswag.sh
@@ -4,7 +4,7 @@ wget https://raw.githubusercontent.com/klosax/hellaswag_text_data/main/hellaswag
 
 echo "Usage:"
 echo ""
-echo "  ./perplexity -m model.gguf -f hellaswag_val_full.txt --hellaswag [--hellaswag-tasks N] [other params]"
+echo "  ./llama-perplexity -m model.gguf -f hellaswag_val_full.txt --hellaswag [--hellaswag-tasks N] [other params]"
 echo ""
 
 exit 0
diff --git a/scripts/get-wikitext-103.sh b/scripts/get-wikitext-103.sh
index 880dd5cbe..9c65fafbc 100755
--- a/scripts/get-wikitext-103.sh
+++ b/scripts/get-wikitext-103.sh
@@ -4,7 +4,7 @@ wget https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-raw-v1.
 
 echo "Usage:"
 echo ""
-echo "  ./perplexity -m model.gguf -f wiki.test.raw [other params]"
+echo "  ./llama-perplexity -m model.gguf -f wiki.test.raw [other params]"
 echo ""
 
 exit 0
diff --git a/scripts/get-wikitext-2.sh b/scripts/get-wikitext-2.sh
index b01476a46..5f3845ef5 100755
--- a/scripts/get-wikitext-2.sh
+++ b/scripts/get-wikitext-2.sh
@@ -5,7 +5,7 @@ unzip wikitext-2-raw-v1.zip
 
 echo "Usage:"
 echo ""
-echo "  ./perplexity -m model.gguf -f wikitext-2-raw/wiki.test.raw [other params]"
+echo "  ./llama-perplexity -m model.gguf -f wikitext-2-raw/wiki.test.raw [other params]"
 echo ""
 
 exit 0
diff --git a/scripts/get-winogrande.sh b/scripts/get-winogrande.sh
index 5f234468e..f1fc0e2d4 100755
--- a/scripts/get-winogrande.sh
+++ b/scripts/get-winogrande.sh
@@ -4,7 +4,7 @@ wget https://huggingface.co/datasets/ikawrakow/winogrande-eval-for-llama.cpp/raw
 
 echo "Usage:"
 echo ""
-echo "  ./perplexity -m model.gguf -f winogrande-debiased-eval.csv --winogrande [--winogrande-tasks N] [other params]"
+echo "  ./llama-perplexity -m model.gguf -f winogrande-debiased-eval.csv --winogrande [--winogrande-tasks N] [other params]"
 echo ""
 
 exit 0
diff --git a/scripts/hf.sh b/scripts/hf.sh
index 58f83d6fe..85c2c4d9a 100755
--- a/scripts/hf.sh
+++ b/scripts/hf.sh
@@ -3,9 +3,9 @@
 # Shortcut for downloading HF models
 #
 # Usage:
-#   ./main -m $(./scripts/hf.sh https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF/resolve/main/mixtral-8x7b-v0.1.Q4_K_M.gguf)
-#   ./main -m $(./scripts/hf.sh --url https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF/blob/main/mixtral-8x7b-v0.1.Q4_K_M.gguf)
-#   ./main -m $(./scripts/hf.sh --repo TheBloke/Mixtral-8x7B-v0.1-GGUF --file mixtral-8x7b-v0.1.Q4_K_M.gguf)
+#   ./llama-cli -m $(./scripts/hf.sh https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF/resolve/main/mixtral-8x7b-v0.1.Q4_K_M.gguf)
+#   ./llama-cli -m $(./scripts/hf.sh --url https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF/blob/main/mixtral-8x7b-v0.1.Q4_K_M.gguf)
+#   ./llama-cli -m $(./scripts/hf.sh --repo TheBloke/Mixtral-8x7B-v0.1-GGUF --file mixtral-8x7b-v0.1.Q4_K_M.gguf)
 #
 
 # all logs go to stderr
diff --git a/scripts/pod-llama.sh b/scripts/pod-llama.sh
index 5dabbf60e..6ba499a2a 100644
--- a/scripts/pod-llama.sh
+++ b/scripts/pod-llama.sh
@@ -77,9 +77,9 @@ if [ "$1" -eq "1" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/tinyllama-1b  --outfile ./models/tinyllama-1b/ggml-model-f16.gguf  --outtype f16
 
-    ./quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/tinyllama-1b/ggml-model-f16.gguf ./models/tinyllama-1b/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "2" ]; then
@@ -92,9 +92,9 @@ if [ "$1" -eq "2" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-7b  --outfile ./models/codellama-7b/ggml-model-f16.gguf  --outtype f16
 
-    ./quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-7b/ggml-model-f16.gguf ./models/codellama-7b/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "3" ]; then
@@ -107,9 +107,9 @@ if [ "$1" -eq "3" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-13b --outfile ./models/codellama-13b/ggml-model-f16.gguf --outtype f16
 
-    ./quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-13b/ggml-model-f16.gguf ./models/codellama-13b/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "4" ]; then
@@ -122,9 +122,9 @@ if [ "$1" -eq "4" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-34b --outfile ./models/codellama-34b/ggml-model-f16.gguf --outtype f16
 
-    ./quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-34b/ggml-model-f16.gguf ./models/codellama-34b/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "5" ]; then
@@ -137,9 +137,9 @@ if [ "$1" -eq "5" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-7b-instruct  --outfile ./models/codellama-7b-instruct/ggml-model-f16.gguf  --outtype f16
 
-    ./quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-7b-instruct/ggml-model-f16.gguf ./models/codellama-7b-instruct/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "6" ]; then
@@ -152,9 +152,9 @@ if [ "$1" -eq "6" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-13b-instruct --outfile ./models/codellama-13b-instruct/ggml-model-f16.gguf --outtype f16
 
-    ./quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-13b-instruct/ggml-model-f16.gguf ./models/codellama-13b-instruct/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "7" ]; then
@@ -167,9 +167,9 @@ if [ "$1" -eq "7" ]; then
 
     python3 examples/convert-legacy-llama.py ./models/codellama-34b-instruct --outfile ./models/codellama-34b-instruct/ggml-model-f16.gguf --outtype f16
 
-    ./quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_0.gguf q4_0
-    ./quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_k.gguf q4_k
-    ./quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q8_0.gguf q8_0
+    ./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_0.gguf q4_0
+    ./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q4_k.gguf q4_k
+    ./llama-quantize ./models/codellama-34b-instruct/ggml-model-f16.gguf ./models/codellama-34b-instruct/ggml-model-q8_0.gguf q8_0
 fi
 
 if [ "$1" -eq "1" ]; then
@@ -181,22 +181,22 @@ if [ "$1" -eq "1" ]; then
     ../scripts/get-wikitext-2.sh
     unzip wikitext-2-raw-v1.zip
 
-    make -j && ./bin/perplexity -m ../models/tinyllama-1b/ggml-model-f16.gguf -f ./wikitext-2-raw/wiki.test.raw -ngl 100 --chunks 32
+    make -j && ./bin/llama-perplexity -m ../models/tinyllama-1b/ggml-model-f16.gguf -f ./wikitext-2-raw/wiki.test.raw -ngl 100 --chunks 32
 
     # batched
     cd /workspace/llama.cpp
 
-    LLAMA_CUDA=1 make -j && ./batched ./models/tinyllama-1b/ggml-model-f16.gguf "Hello, my name is" 8 128 999
+    LLAMA_CUDA=1 make -j && ./llama-batched ./models/tinyllama-1b/ggml-model-f16.gguf "Hello, my name is" 8 128 999
 
     # batched-bench
     cd /workspace/llama.cpp
 
-    LLAMA_CUDA=1 make -j && ./batched-bench ./models/tinyllama-1b/ggml-model-f16.gguf 4608 1 99 0 512 128 1,2,3,4,5,6,7,8,16,32
+    LLAMA_CUDA=1 make -j && ./llama-batched-bench ./models/tinyllama-1b/ggml-model-f16.gguf 4608 1 99 0 512 128 1,2,3,4,5,6,7,8,16,32
 
     # parallel
     cd /workspace/llama.cpp
 
-    LLAMA_CUDA=1 make -j && ./parallel -m ./models/tinyllama-1b/ggml-model-f16.gguf -t 1 -ngl 100 -c 4096 -b 512 -s 1 -np 8 -ns 128 -n 100 -cb
+    LLAMA_CUDA=1 make -j && ./llama-parallel -m ./models/tinyllama-1b/ggml-model-f16.gguf -t 1 -ngl 100 -c 4096 -b 512 -s 1 -np 8 -ns 128 -n 100 -cb
 
 fi
 
@@ -204,10 +204,10 @@ fi
 #if [ "$1" -eq "7" ]; then
 #    cd /workspace/llama.cpp
 #
-#    LLAMA_CUDA=1 make -j && ./speculative -m ./models/codellama-34b-instruct/ggml-model-f16.gguf -md ./models/codellama-7b-instruct/ggml-model-q4_0.gguf -p "# Dijkstra's shortest path algorithm in Python (4 spaces indentation) + complexity analysis:\n\n" -e -ngl 999 -ngld 999 -t 4 -n 512 -c 4096 -s 21 --draft 16 -np 1 --temp 0.0
+#    LLAMA_CUDA=1 make -j && ./llama-speculative -m ./models/codellama-34b-instruct/ggml-model-f16.gguf -md ./models/codellama-7b-instruct/ggml-model-q4_0.gguf -p "# Dijkstra's shortest path algorithm in Python (4 spaces indentation) + complexity analysis:\n\n" -e -ngl 999 -ngld 999 -t 4 -n 512 -c 4096 -s 21 --draft 16 -np 1 --temp 0.0
 #fi
 
 # more benches
-#LLAMA_CUDA=1 make -j && ./batched-bench ./models/codellama-7b/ggml-model-q4_k.gguf  4096 1 99 1 512,3200 128,128,800 1
-#LLAMA_CUDA=1 make -j && ./batched-bench ./models/codellama-13b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1
+#LLAMA_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-7b/ggml-model-q4_k.gguf  4096 1 99 1 512,3200 128,128,800 1
+#LLAMA_CUDA=1 make -j && ./llama-batched-bench ./models/codellama-13b/ggml-model-q4_k.gguf 4096 1 99 1 512,3200 128,128,800 1
 
diff --git a/scripts/qnt-all.sh b/scripts/qnt-all.sh
index b4c2a159e..bc43738a2 100755
--- a/scripts/qnt-all.sh
+++ b/scripts/qnt-all.sh
@@ -26,5 +26,5 @@ set -e
 mkdir -p ${out}
 
 for q in ${qnt[@]}; do
-    time ./bin/quantize ../models/${model}/ggml-model-f16.gguf ../models/${model}/ggml-model-${q}.gguf ${q} 2>&1 ${args} | tee ${out}/qnt-${q}.txt
+    time ./bin/llama-quantize ../models/${model}/ggml-model-f16.gguf ../models/${model}/ggml-model-${q}.gguf ${q} 2>&1 ${args} | tee ${out}/qnt-${q}.txt
 done
diff --git a/scripts/run-all-ppl.sh b/scripts/run-all-ppl.sh
index e04d61d7f..e15f74f1b 100755
--- a/scripts/run-all-ppl.sh
+++ b/scripts/run-all-ppl.sh
@@ -26,5 +26,5 @@ out="../tmp/results-${model}"
 mkdir -p ${out}
 
 for q in ${qnt[@]}; do
-    time ./bin/perplexity -m ../models/${model}/ggml-model-f16.gguf -f ./wiki.test.raw ${args} 2>&1 | tee ${out}/ppl-${q}.txt
+    time ./bin/llama-perplexity -m ../models/${model}/ggml-model-f16.gguf -f ./wiki.test.raw ${args} 2>&1 | tee ${out}/ppl-${q}.txt
 done
diff --git a/scripts/run-with-preset.py b/scripts/run-with-preset.py
index 0d7219113..ee21eab37 100755
--- a/scripts/run-with-preset.py
+++ b/scripts/run-with-preset.py
@@ -10,7 +10,7 @@ import yaml
 
 logger = logging.getLogger("run-with-preset")
 
-CLI_ARGS_MAIN_PERPLEXITY = [
+CLI_ARGS_LLAMA_CLI_PERPLEXITY = [
     "batch-size", "cfg-negative-prompt", "cfg-scale", "chunks", "color", "ctx-size", "escape",
     "export", "file", "frequency-penalty", "grammar", "grammar-file", "hellaswag",
     "hellaswag-tasks", "ignore-eos", "in-prefix", "in-prefix-bos", "in-suffix",
@@ -29,7 +29,7 @@ CLI_ARGS_LLAMA_BENCH = [
     "n-prompt", "output", "repetitions", "tensor-split", "threads", "verbose"
 ]
 
-CLI_ARGS_SERVER = [
+CLI_ARGS_LLAMA_SERVER = [
     "alias", "batch-size", "ctx-size", "embedding", "host", "memory-f32", "lora", "lora-base",
     "low-vram", "main-gpu", "mlock", "model", "n-gpu-layers", "n-probs", "no-mmap", "no-mul-mat-q",
     "numa", "path", "port", "rope-freq-base", "timeout", "rope-freq-scale", "tensor-split",
@@ -37,7 +37,7 @@ CLI_ARGS_SERVER = [
 ]
 
 description = """Run llama.cpp binaries with presets from YAML file(s).
-To specify which binary should be run, specify the "binary" property (main, perplexity, llama-bench, and server are supported).
+To specify which binary should be run, specify the "binary" property (llama-cli, llama-perplexity, llama-bench, and llama-server are supported).
 To get a preset file template, run a llama.cpp binary with the "--logdir" CLI argument.
 
 Formatting considerations:
@@ -77,19 +77,19 @@ for yaml_file in known_args.yaml_files:
 
 props = {prop.replace("_", "-"): val for prop, val in props.items()}
 
-binary = props.pop("binary", "main")
+binary = props.pop("binary", "llama-cli")
 if known_args.binary:
     binary = known_args.binary
 
 if os.path.exists(f"./{binary}"):
     binary = f"./{binary}"
 
-if binary.lower().endswith("main") or binary.lower().endswith("perplexity"):
-    cli_args = CLI_ARGS_MAIN_PERPLEXITY
+if binary.lower().endswith("llama-cli") or binary.lower().endswith("llama-perplexity"):
+    cli_args = CLI_ARGS_LLAMA_CLI_PERPLEXITY
 elif binary.lower().endswith("llama-bench"):
     cli_args = CLI_ARGS_LLAMA_BENCH
-elif binary.lower().endswith("server"):
-    cli_args = CLI_ARGS_SERVER
+elif binary.lower().endswith("llama-server"):
+    cli_args = CLI_ARGS_LLAMA_SERVER
 else:
     logger.error(f"Unknown binary: {binary}")
     sys.exit(1)
diff --git a/scripts/server-llm.sh b/scripts/server-llm.sh
index b3715e204..199232440 100644
--- a/scripts/server-llm.sh
+++ b/scripts/server-llm.sh
@@ -380,13 +380,13 @@ fi
 
 if [[ "$backend" == "cuda" ]]; then
     printf "[+] Building with CUDA backend\n"
-    LLAMA_CUDA=1 make -j server $log
+    LLAMA_CUDA=1 make -j llama-server $log
 elif [[ "$backend" == "cpu" ]]; then
     printf "[+] Building with CPU backend\n"
-    make -j server $log
+    make -j llama-server $log
 elif [[ "$backend" == "metal" ]]; then
     printf "[+] Building with Metal backend\n"
-    make -j server $log
+    make -j llama-server $log
 else
     printf "[-] Unknown backend: %s\n" "$backend"
     exit 1
@@ -413,6 +413,6 @@ if [[ $verbose -eq 1 ]]; then
     args="$args --verbose"
 fi
 
-./server -m "../$wfile" --host 0.0.0.0 --port "$port" -c $n_kv -np "$n_parallel" $args
+./llama-server -m "../$wfile" --host 0.0.0.0 --port "$port" -c $n_kv -np "$n_parallel" $args
 
 exit 0

From f578b86b2123d0f92afbaa98a031df4d4464e582 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Thu, 13 Jun 2024 03:11:35 +0200
Subject: [PATCH 065/131] move BLAS to a separate backend (#6210)

* move BLAS to a separate backend

* rename GGML_USE_OPENBLAS to GGML_USE_BLAS

* alloc : reuse same buffer when the same buffer type if used multiple times

* set number of threads automatically for openblas and blis

* sched : print assignments when GGML_SCHED_DEBUG env variable is set

* sched : allow ops with weights on an incompatible buffer type

This will cause the weight to be copied to a backend that supports the
op, which is very costly. The weight should have been stored in a buffer
of a backend that can run the op, but llama.cpp cannot do this
automatically at the moment.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---
 CMakeLists.txt                       |  23 +-
 Makefile                             |  27 +-
 examples/llama-bench/llama-bench.cpp |   1 +
 ggml-alloc.c                         |  98 ++++++--
 ggml-backend-impl.h                  |  28 ++-
 ggml-backend.c                       | 242 +++++++++++++-----
 ggml-backend.h                       |   6 +-
 ggml-blas.cpp                        | 363 +++++++++++++++++++++++++++
 ggml-blas.h                          |  23 ++
 ggml-cuda.cu                         |  44 ++--
 ggml-kompute.cpp                     |  13 +-
 ggml-metal.m                         |  15 +-
 ggml-rpc.cpp                         |  21 +-
 ggml-sycl.cpp                        |  28 +--
 ggml-vulkan.cpp                      |  26 +-
 ggml.c                               | 205 ++-------------
 llama.cpp                            |  37 ++-
 17 files changed, 821 insertions(+), 379 deletions(-)
 create mode 100644 ggml-blas.cpp
 create mode 100644 ggml-blas.h

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 8e280f87d..08481334f 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -39,8 +39,12 @@ endif()
 
 if (APPLE)
     set(LLAMA_METAL_DEFAULT ON)
+    set(LLAMA_BLAS_DEFAULT ON)
+    set(LLAMA_BLAS_VENDOR_DEFAULT "Apple")
 else()
     set(LLAMA_METAL_DEFAULT OFF)
+    set(LLAMA_BLAS_DEFAULT OFF)
+    set(LLAMA_BLAS_VENDOR_DEFAULT "Generic")
 endif()
 
 set(LLAMA_LLAMAFILE_DEFAULT ON)
@@ -91,9 +95,10 @@ endif()
 
 # 3rd party libs
 option(LLAMA_ACCELERATE                      "llama: enable Accelerate framework"               ON)
-option(LLAMA_BLAS                            "llama: use BLAS"                                  OFF)
+option(LLAMA_BLAS                            "llama: use BLAS"                                  ${LLAMA_BLAS_DEFAULT})
+set(LLAMA_BLAS_VENDOR ${LLAMA_BLAS_VENDOR_DEFAULT} CACHE STRING
+                                             "llama: BLAS library vendor")
 option(LLAMA_LLAMAFILE                       "llama: use llamafile SGEMM"                       ${LLAMA_LLAMAFILE_DEFAULT})
-set(LLAMA_BLAS_VENDOR "Generic" CACHE STRING "llama: BLAS library vendor")
 option(LLAMA_CUDA                            "llama: use CUDA"                                  OFF)
 option(LLAMA_CUBLAS                          "llama: use CUDA (deprecated, use LLAMA_CUDA)"     OFF)
 option(LLAMA_CUDA_FORCE_DMMV                 "llama: use dmmv instead of mmvq CUDA kernels"     OFF)
@@ -311,9 +316,9 @@ if (LLAMA_BLAS)
     if (LLAMA_STATIC)
         set(BLA_STATIC ON)
     endif()
-    if (CMAKE_VERSION VERSION_GREATER_EQUAL 3.22)
-        set(BLA_SIZEOF_INTEGER 8)
-    endif()
+    #if (CMAKE_VERSION VERSION_GREATER_EQUAL 3.22)
+    #    set(BLA_SIZEOF_INTEGER 8)
+    #endif()
 
     set(BLA_VENDOR ${LLAMA_BLAS_VENDOR})
     find_package(BLAS)
@@ -321,7 +326,7 @@ if (LLAMA_BLAS)
     if (BLAS_FOUND)
         message(STATUS "BLAS found, Libraries: ${BLAS_LIBRARIES}")
 
-        if ("${BLAS_INCLUDE_DIRS}" STREQUAL "")
+        if (("${BLAS_INCLUDE_DIRS}" STREQUAL "") AND NOT (${LLAMA_BLAS_VENDOR} MATCHES "Apple"))
             # BLAS_INCLUDE_DIRS is missing in FindBLAS.cmake.
             # see https://gitlab.kitware.com/cmake/cmake/-/issues/20268
             find_package(PkgConfig REQUIRED)
@@ -374,12 +379,15 @@ if (LLAMA_BLAS)
 
         add_compile_options(${BLAS_LINKER_FLAGS})
 
-        add_compile_definitions(GGML_USE_OPENBLAS)
+        add_compile_definitions(GGML_USE_BLAS)
 
         if (${BLAS_INCLUDE_DIRS} MATCHES "mkl" AND (${LLAMA_BLAS_VENDOR} MATCHES "Generic" OR ${LLAMA_BLAS_VENDOR} MATCHES "Intel"))
             add_compile_definitions(GGML_BLAS_USE_MKL)
         endif()
 
+        set(GGML_HEADERS_BLAS ggml-blas.h)
+        set(GGML_SOURCES_BLAS ggml-blas.cpp)
+
         set(LLAMA_EXTRA_LIBS     ${LLAMA_EXTRA_LIBS}     ${BLAS_LIBRARIES})
         set(LLAMA_EXTRA_INCLUDES ${LLAMA_EXTRA_INCLUDES} ${BLAS_INCLUDE_DIRS})
     else()
@@ -1258,6 +1266,7 @@ add_library(ggml OBJECT
             ${GGML_SOURCES_KOMPUTE}   ${GGML_HEADERS_KOMPUTE}
             ${GGML_SOURCES_VULKAN}    ${GGML_HEADERS_VULKAN}
             ${GGML_SOURCES_ROCM}      ${GGML_HEADERS_ROCM}
+            ${GGML_SOURCES_BLAS}      ${GGML_HEADERS_BLAS}
             ${GGML_SOURCES_LLAMAFILE} ${GGML_HEADERS_LLAMAFILE}
             )
 
diff --git a/Makefile b/Makefile
index a4cab1bb2..744fe5739 100644
--- a/Makefile
+++ b/Makefile
@@ -440,10 +440,11 @@ ifndef LLAMA_NO_ACCELERATE
 	# Mac OS - include Accelerate framework.
 	# `-framework Accelerate` works both with Apple Silicon and Mac Intel
 	ifeq ($(UNAME_S),Darwin)
-		MK_CPPFLAGS += -DGGML_USE_ACCELERATE
+		MK_CPPFLAGS += -DGGML_USE_ACCELERATE -DGGML_USE_BLAS
 		MK_CPPFLAGS += -DACCELERATE_NEW_LAPACK
 		MK_CPPFLAGS += -DACCELERATE_LAPACK_ILP64
 		MK_LDFLAGS  += -framework Accelerate
+		OBJS        += ggml-blas.o
 	endif
 endif # LLAMA_NO_ACCELERATE
 
@@ -454,21 +455,30 @@ ifndef LLAMA_NO_OPENMP
 endif # LLAMA_NO_OPENMP
 
 ifdef LLAMA_OPENBLAS
-	MK_CPPFLAGS += -DGGML_USE_OPENBLAS $(shell pkg-config --cflags-only-I openblas)
+	MK_CPPFLAGS += -DGGML_USE_BLAS $(shell pkg-config --cflags-only-I openblas)
 	MK_CFLAGS   += $(shell pkg-config --cflags-only-other openblas)
 	MK_LDFLAGS  += $(shell pkg-config --libs openblas)
+	OBJS        += ggml-blas.o
 endif # LLAMA_OPENBLAS
 
+ifdef LLAMA_OPENBLAS64
+	MK_CPPFLAGS += -DGGML_USE_BLAS $(shell pkg-config --cflags-only-I openblas64)
+	MK_CFLAGS   += $(shell pkg-config --cflags-only-other openblas64)
+	MK_LDFLAGS  += $(shell pkg-config --libs openblas64)
+	OBJS        += ggml-blas.o
+endif # LLAMA_OPENBLAS64
+
+ifdef LLAMA_BLIS
+	MK_CPPFLAGS += -DGGML_USE_BLAS -I/usr/local/include/blis -I/usr/include/blis
+	MK_LDFLAGS  += -lblis -L/usr/local/lib
+	OBJS        += ggml-blas.o
+endif # LLAMA_BLIS
+
 ifndef LLAMA_NO_LLAMAFILE
 	MK_CPPFLAGS += -DGGML_USE_LLAMAFILE
 	OBJS        += sgemm.o
 endif
 
-ifdef LLAMA_BLIS
-	MK_CPPFLAGS += -DGGML_USE_OPENBLAS -I/usr/local/include/blis -I/usr/include/blis
-	MK_LDFLAGS  += -lblis -L/usr/local/lib
-endif # LLAMA_BLIS
-
 ifdef LLAMA_RPC
 	MK_CPPFLAGS   += -DGGML_USE_RPC
 	OBJS          += ggml-rpc.o
@@ -776,6 +786,9 @@ ggml-backend.o: ggml-backend.c ggml.h ggml-backend.h
 ggml-quants.o: ggml-quants.c ggml.h ggml-quants.h ggml-common.h
 	$(CC) $(CFLAGS)    -c $< -o $@
 
+ggml-blas.o: ggml-blas.cpp ggml-blas.h
+	$(CXX) $(CXXFLAGS) -c $< -o $@
+
 unicode.o: unicode.cpp unicode.h
 	$(CXX) $(CXXFLAGS) -c $< -o $@
 
diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index 61f5a5a09..61dd1d71a 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -293,6 +293,7 @@ static cmd_params parse_cmd_params(int argc, char ** argv) {
     params.output_format = cmd_params_defaults.output_format;
     params.output_format_stderr = cmd_params_defaults.output_format_stderr;
     params.reps = cmd_params_defaults.reps;
+    params.numa = cmd_params_defaults.numa;
 
     for (int i = 1; i < argc; i++) {
         arg = argv[i];
diff --git a/ggml-alloc.c b/ggml-alloc.c
index eb75962d4..bd367c42d 100644
--- a/ggml-alloc.c
+++ b/ggml-alloc.c
@@ -339,6 +339,7 @@ struct hash_node {
 };
 
 struct tensor_alloc {
+    int buffer_id;
     size_t offset;
     size_t size_max; // 0 = pre-allocated, unused, or view
 };
@@ -349,7 +350,6 @@ struct leaf_alloc {
 };
 
 struct node_alloc {
-    int buffer_id;
     struct tensor_alloc dst;
     struct tensor_alloc src[GGML_MAX_SRC];
 };
@@ -386,8 +386,19 @@ ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs
     for (int i = 0; i < n_bufs; i++) {
         galloc->bufts[i] = bufts[i];
         galloc->buffers[i] = NULL;
-        size_t alignment = ggml_backend_buft_get_alignment(bufts[i]);
-        galloc->buf_tallocs[i] = ggml_dyn_tallocr_new(alignment);
+
+        // check if the same buffer type is used multiple times and reuse the same allocator
+        for (int j = 0; j < i; j++) {
+            if (bufts[i] == bufts[j]) {
+                galloc->buf_tallocs[i] = galloc->buf_tallocs[j];
+                break;
+            }
+        }
+
+        if (galloc->buf_tallocs[i] == NULL) {
+            size_t alignment = ggml_backend_buft_get_alignment(bufts[i]);
+            galloc->buf_tallocs[i] = ggml_dyn_tallocr_new(alignment);
+        }
     }
     galloc->n_buffers = n_bufs;
 
@@ -405,10 +416,30 @@ void ggml_gallocr_free(ggml_gallocr_t galloc) {
 
     for (int i = 0; i < galloc->n_buffers; i++) {
         if (galloc->buffers != NULL) {
-            ggml_backend_buffer_free(galloc->buffers[i]);
+            // skip if already freed
+            bool freed = false;
+            for (int j = 0; j < i; j++) {
+                if (galloc->buffers[j] == galloc->buffers[i]) {
+                    freed = true;
+                    break;
+                }
+            }
+            if (!freed) {
+                ggml_backend_buffer_free(galloc->buffers[i]);
+            }
         }
         if (galloc->buf_tallocs != NULL) {
-            ggml_dyn_tallocr_free(galloc->buf_tallocs[i]);
+            // skip if already freed
+            bool freed = false;
+            for (int j = 0; j < i; j++) {
+                if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) {
+                    freed = true;
+                    break;
+                }
+            }
+            if (!freed) {
+                ggml_dyn_tallocr_free(galloc->buf_tallocs[i]);
+            }
         }
     }
 
@@ -511,17 +542,18 @@ static void ggml_gallocr_allocate_node(ggml_gallocr_t galloc, struct ggml_tensor
     }
 }
 
-static void ggml_gallocr_free_node(ggml_gallocr_t galloc, struct ggml_tensor * node, int buffer_id) {
+static void ggml_gallocr_free_node(ggml_gallocr_t galloc, struct ggml_tensor * node) {
     // graph outputs are never freed
     if (node->flags & GGML_TENSOR_FLAG_OUTPUT) {
         AT_PRINTF("not freeing output %s\n", node->name);
         return;
     }
 
-    struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id];
-    ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id];
     struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);
     size_t offset = hn->offset;
+    int buffer_id = hn->buffer_id;
+    struct ggml_dyn_tallocr * alloc = galloc->buf_tallocs[buffer_id];
+    ggml_backend_buffer_type_t buft = galloc->bufts[buffer_id];
     size_t size = ggml_backend_buft_get_alloc_size(buft, node);
     ggml_dyn_tallocr_free_tensor(alloc, offset, size, node);
     hn->allocated = false;
@@ -626,11 +658,11 @@ static void ggml_gallocr_alloc_graph_impl(ggml_gallocr_t galloc, struct ggml_cgr
                     AT_PRINTF("view_src %s: %d children, %d views\n",
                         view_src->name, view_src_hn->n_children, view_src_hn->n_views);
                     if (view_src_hn->n_views == 0 && view_src_hn->n_children == 0 && view_src_hn->allocated) {
-                        ggml_gallocr_free_node(galloc, view_src, buffer_id);
+                        ggml_gallocr_free_node(galloc, view_src);
                     }
                 }
                 else if (p_hn->allocated) {
-                    ggml_gallocr_free_node(galloc, parent, buffer_id);
+                    ggml_gallocr_free_node(galloc, parent);
                 }
             }
             AT_PRINTF("\n");
@@ -674,22 +706,25 @@ bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, c
     for (int i = 0; i < graph->n_nodes; i++) {
         struct ggml_tensor * node = graph->nodes[i];
         struct node_alloc * node_alloc = &galloc->node_allocs[i];
-        node_alloc->buffer_id = get_node_buffer_id(node_buffer_ids, i);
         if (node->view_src || node->data) {
+            node_alloc->dst.buffer_id = -1;
             node_alloc->dst.offset = SIZE_MAX;
             node_alloc->dst.size_max = 0;
         } else {
             struct hash_node * hn = ggml_gallocr_hash_get(galloc, node);
-            node_alloc->dst.offset   = hn->offset;
-            node_alloc->dst.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], node);
+            node_alloc->dst.buffer_id = hn->buffer_id;
+            node_alloc->dst.offset    = hn->offset;
+            node_alloc->dst.size_max  = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], node);
         }
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
             if (!src || src->view_src || src->data) {
+                node_alloc->src[j].buffer_id = -1;
                 node_alloc->src[j].offset = SIZE_MAX;
                 node_alloc->src[j].size_max = 0;
             } else {
                 struct hash_node * hn = ggml_gallocr_hash_get(galloc, src);
+                node_alloc->src[j].buffer_id = hn->buffer_id;
                 node_alloc->src[j].offset   = hn->offset;
                 node_alloc->src[j].size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], src);
             }
@@ -706,9 +741,11 @@ bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, c
         struct hash_node * hn = ggml_gallocr_hash_get(galloc, leaf);
         galloc->leaf_allocs[i].buffer_id = hn->buffer_id;
         if (leaf->view_src || leaf->data) {
+            galloc->leaf_allocs[i].leaf.buffer_id = -1;
             galloc->leaf_allocs[i].leaf.offset = SIZE_MAX;
             galloc->leaf_allocs[i].leaf.size_max = 0;
         } else {
+            galloc->leaf_allocs[i].leaf.buffer_id = hn->buffer_id;
             galloc->leaf_allocs[i].leaf.offset = hn->offset;
             galloc->leaf_allocs[i].leaf.size_max = ggml_backend_buft_get_alloc_size(galloc->bufts[hn->buffer_id], leaf);
         }
@@ -716,6 +753,14 @@ bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, c
 
     // reallocate buffers if needed
     for (int i = 0; i < galloc->n_buffers; i++) {
+        // if the buffer type is used multiple times, we reuse the same buffer
+        for (int j = 0; j < i; j++) {
+            if (galloc->buf_tallocs[j] == galloc->buf_tallocs[i]) {
+                galloc->buffers[i] = galloc->buffers[j];
+                break;
+            }
+        }
+
         size_t cur_size = galloc->buffers[i] ? ggml_backend_buffer_get_size(galloc->buffers[i]) : 0;
         size_t new_size = ggml_dyn_tallocr_max_size(galloc->buf_tallocs[i]);
 
@@ -724,6 +769,7 @@ bool ggml_gallocr_reserve_n(ggml_gallocr_t galloc, struct ggml_cgraph * graph, c
 #ifndef NDEBUG
             fprintf(stderr, "%s: reallocating %s buffer from size %.02f MiB to %.02f MiB\n", __func__, ggml_backend_buft_name(galloc->bufts[i]), cur_size / 1024.0 / 1024.0, new_size / 1024.0 / 1024.0);
 #endif
+
             ggml_backend_buffer_free(galloc->buffers[i]);
             galloc->buffers[i] = ggml_backend_buft_alloc_buffer(galloc->bufts[i], new_size);
             if (galloc->buffers[i] == NULL) {
@@ -740,7 +786,8 @@ bool ggml_gallocr_reserve(ggml_gallocr_t galloc, struct ggml_cgraph *graph) {
     return ggml_gallocr_reserve_n(galloc, graph, NULL, NULL);
 }
 
-static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor * tensor, int buffer_id, struct tensor_alloc * tensor_alloc) {
+static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor * tensor, struct tensor_alloc * tensor_alloc) {
+    int buffer_id = tensor_alloc->buffer_id;
     assert(tensor->data || tensor->view_src || ggml_backend_buffer_get_alloc_size(galloc->buffers[buffer_id], tensor) <= tensor_alloc->size_max);
 
     if (tensor->view_src != NULL) {
@@ -768,8 +815,8 @@ static void ggml_gallocr_init_tensor(ggml_gallocr_t galloc, struct ggml_tensor *
     }
 }
 
-static bool ggml_gallocr_node_needs_realloc(ggml_gallocr_t galloc, struct ggml_tensor * node, struct node_alloc * nalloc, struct tensor_alloc * talloc) {
-    ggml_backend_buffer_type_t buft = galloc->bufts[nalloc->buffer_id];
+static bool ggml_gallocr_node_needs_realloc(ggml_gallocr_t galloc, struct ggml_tensor * node, struct tensor_alloc * talloc) {
+    ggml_backend_buffer_type_t buft = talloc->buffer_id != -1 ? galloc->bufts[talloc->buffer_id] : NULL;
     size_t node_size = (node->data || node->view_src) ? 0 : ggml_backend_buft_get_alloc_size(buft, node);
     return talloc->size_max >= node_size;
 }
@@ -793,7 +840,7 @@ static bool ggml_gallocr_needs_realloc(ggml_gallocr_t galloc, struct ggml_cgraph
         struct ggml_tensor * node = graph->nodes[i];
         struct node_alloc * node_alloc = &galloc->node_allocs[i];
 
-        if (!ggml_gallocr_node_needs_realloc(galloc, node, node_alloc, &node_alloc->dst)) {
+        if (!ggml_gallocr_node_needs_realloc(galloc, node, &node_alloc->dst)) {
 #ifndef NDEBUG
             fprintf(stderr, "%s: node %s is not valid\n", __func__, node->name);
 #endif
@@ -805,7 +852,7 @@ static bool ggml_gallocr_needs_realloc(ggml_gallocr_t galloc, struct ggml_cgraph
             if (src == NULL) {
                 continue;
             }
-            if (!ggml_gallocr_node_needs_realloc(galloc, src, node_alloc, &node_alloc->src[j])) {
+            if (!ggml_gallocr_node_needs_realloc(galloc, src, &node_alloc->src[j])) {
 #ifndef NDEBUG
                 fprintf(stderr, "%s: src %d (%s) of node %s is not valid\n", __func__, j, src->name, node->name);
 #endif
@@ -846,7 +893,7 @@ bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph)
     for (int i = 0; i < graph->n_leafs; i++) {
         struct ggml_tensor * leaf = graph->leafs[i];
         struct leaf_alloc * leaf_alloc = &galloc->leaf_allocs[i];
-        ggml_gallocr_init_tensor(galloc, leaf, leaf_alloc->buffer_id, &leaf_alloc->leaf);
+        ggml_gallocr_init_tensor(galloc, leaf, &leaf_alloc->leaf);
     }
     // nodes
     for (int i = 0; i < graph->n_nodes; i++) {
@@ -857,9 +904,9 @@ bool ggml_gallocr_alloc_graph(ggml_gallocr_t galloc, struct ggml_cgraph * graph)
             if (src == NULL) {
                 continue;
             }
-            ggml_gallocr_init_tensor(galloc, src, node_alloc->buffer_id, &node_alloc->src[j]);
+            ggml_gallocr_init_tensor(galloc, src, &node_alloc->src[j]);
         }
-        ggml_gallocr_init_tensor(galloc, node, node_alloc->buffer_id, &node_alloc->dst);
+        ggml_gallocr_init_tensor(galloc, node, &node_alloc->dst);
     }
 
     return true;
@@ -871,6 +918,15 @@ size_t ggml_gallocr_get_buffer_size(ggml_gallocr_t galloc, int buffer_id) {
     if (galloc->buffers[buffer_id] == NULL) {
         return 0;
     }
+
+    for (int i = 0; i < buffer_id; i++) {
+        if (galloc->buffers[i] == galloc->buffers[buffer_id]) {
+            // this buffer is the same as a previous one due to the same buffer type being used multiple times
+            // only return the buffer size the first time it appears to avoid double counting
+            return 0;
+        }
+    }
+
     return ggml_backend_buffer_get_size(galloc->buffers[buffer_id]);
 }
 
diff --git a/ggml-backend-impl.h b/ggml-backend-impl.h
index f121e1de4..36ca37086 100644
--- a/ggml-backend-impl.h
+++ b/ggml-backend-impl.h
@@ -17,13 +17,15 @@ extern "C" {
 
     struct ggml_backend_buffer_type_i {
         const char *          (*GGML_CALL get_name)        (ggml_backend_buffer_type_t buft);
+        // allocate a buffer of this type
         ggml_backend_buffer_t (*GGML_CALL alloc_buffer)    (ggml_backend_buffer_type_t buft, size_t size);
-        size_t                (*GGML_CALL get_alignment)   (ggml_backend_buffer_type_t buft); // tensor alignment
-        size_t                (*GGML_CALL get_max_size)    (ggml_backend_buffer_type_t buft); // allocation max size
-        size_t                (*GGML_CALL get_alloc_size)  (ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor); // data size needed to allocate the tensor, including padding
-        bool                  (*GGML_CALL supports_backend)(ggml_backend_buffer_type_t buft, ggml_backend_t backend); // check if the buffer type is usable by the backend
+        // tensor alignment
+        size_t                (*GGML_CALL get_alignment)   (ggml_backend_buffer_type_t buft);
+        // max buffer size that can be allocated
+        size_t                (*GGML_CALL get_max_size)    (ggml_backend_buffer_type_t buft);
+        // data size needed to allocate the tensor, including padding
+        size_t                (*GGML_CALL get_alloc_size)  (ggml_backend_buffer_type_t buft, const struct ggml_tensor * tensor);
         // check if tensor data is in host memory
-        // should be equivalent to supports_backend(buft, ggml_backend_cpu_init())
         bool                  (*GGML_CALL is_host)         (ggml_backend_buffer_type_t buft);
     };
 
@@ -92,27 +94,37 @@ extern "C" {
         void (*GGML_CALL synchronize)(ggml_backend_t backend);
 
         // compute graph with a plan (not used currently)
+        // create a new plan for a graph
         ggml_backend_graph_plan_t (*GGML_CALL graph_plan_create) (ggml_backend_t backend, const struct ggml_cgraph * cgraph);
         void                      (*GGML_CALL graph_plan_free)   (ggml_backend_t backend, ggml_backend_graph_plan_t plan);
+        // update the plan with a new graph - this should be faster than creating a new plan when the graph has the same topology
+        void                      (*GGML_CALL graph_plan_update) (ggml_backend_t backend, ggml_backend_graph_plan_t plan, const struct ggml_cgraph * cgraph);
+        // compute the graph with the plan
+        enum ggml_status          (*GGML_CALL graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
 
-        // compute graph with a plan
-        enum ggml_status (*GGML_CALL graph_plan_compute)(ggml_backend_t backend, ggml_backend_graph_plan_t plan);
         // compute graph without a plan (async)
         enum ggml_status (*GGML_CALL graph_compute)     (ggml_backend_t backend, struct ggml_cgraph * cgraph);
 
-        // check if the backend supports an operation
+        // check if the backend can compute an operation
         bool (*GGML_CALL supports_op)(ggml_backend_t backend, const struct ggml_tensor * op);
 
+        // check if the backend can use tensors allocated in a buffer type
+        bool (*GGML_CALL supports_buft)(ggml_backend_t backend, ggml_backend_buffer_type_t buft);
+
         // check if the backend wants to run an operation, even if the weights are allocated in a CPU buffer
         // these should be expensive operations with large batch sizes that may benefit from running on this backend
         // even if the weight has to be copied from the CPU temporarily
         bool (*GGML_CALL offload_op)(ggml_backend_t backend, const struct ggml_tensor * op);
 
         // (optional) event synchronization
+        // create a new event that can record events on this backend instance
         ggml_backend_event_t (*GGML_CALL event_new)         (ggml_backend_t backend);
         void                 (*GGML_CALL event_free)        (ggml_backend_event_t event);
+        // record an event on the backend instance that created it
         void                 (*GGML_CALL event_record)      (ggml_backend_event_t event);
+        // wait for an event on on a different backend instance
         void                 (*GGML_CALL event_wait)        (ggml_backend_t backend, ggml_backend_event_t event);
+        // block until an event is recorded
         void                 (*GGML_CALL event_synchronize) (ggml_backend_event_t event);
     };
 
diff --git a/ggml-backend.c b/ggml-backend.c
index 05737ed69..2bec7bea3 100644
--- a/ggml-backend.c
+++ b/ggml-backend.c
@@ -44,10 +44,6 @@ GGML_CALL size_t ggml_backend_buft_get_alloc_size(ggml_backend_buffer_type_t buf
     return ggml_nbytes(tensor);
 }
 
-bool ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    return buft->iface.supports_backend(buft, backend);
-}
-
 bool ggml_backend_buft_is_host(ggml_backend_buffer_type_t buft) {
     if (buft->iface.is_host) {
         return buft->iface.is_host(buft);
@@ -286,6 +282,10 @@ bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor *
     return backend->iface.supports_op(backend, op);
 }
 
+bool ggml_backend_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    return backend->iface.supports_buft(backend, buft);
+}
+
 bool ggml_backend_offload_op(ggml_backend_t backend, const struct ggml_tensor * op) {
     if (backend->iface.offload_op != NULL) {
         return backend->iface.offload_op(backend, op);
@@ -639,12 +639,6 @@ GGML_CALL static size_t ggml_backend_cpu_buffer_type_get_alignment(ggml_backend_
     GGML_UNUSED(buft);
 }
 
-GGML_CALL static bool ggml_backend_cpu_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    return ggml_backend_is_cpu(backend);
-
-    GGML_UNUSED(buft);
-}
-
 GGML_CALL static bool ggml_backend_cpu_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
     return true;
 
@@ -659,7 +653,6 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cpu_buffer_type(void) {
             /* .get_alignment    = */ ggml_backend_cpu_buffer_type_get_alignment,
             /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
             /* .get_alloc_size   = */ NULL, // defaults to ggml_nbytes
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend,
             /* .is_host          = */ ggml_backend_cpu_buffer_type_is_host,
         },
         /* .context = */ NULL,
@@ -715,7 +708,6 @@ ggml_backend_buffer_type_t ggml_backend_cpu_hbm_buffer_type(void) {
             /* .get_alignment    = */ ggml_backend_cpu_buffer_type_get_alignment,
             /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
             /* .get_alloc_size   = */ NULL, // defaults to ggml_nbytes
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type_supports_backend,
             /* .is_host          = */ ggml_backend_cpu_buffer_type_is_host,
         },
         /* .context  = */ NULL,
@@ -836,6 +828,12 @@ GGML_CALL static bool ggml_backend_cpu_supports_op(ggml_backend_t backend, const
     GGML_UNUSED(backend);
 }
 
+GGML_CALL static bool ggml_backend_cpu_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    return ggml_backend_buft_is_host(buft);
+
+    GGML_UNUSED(backend);
+}
+
 static struct ggml_backend_i cpu_backend_i = {
     /* .get_name                = */ ggml_backend_cpu_name,
     /* .free                    = */ ggml_backend_cpu_free,
@@ -846,9 +844,11 @@ static struct ggml_backend_i cpu_backend_i = {
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ ggml_backend_cpu_graph_plan_create,
     /* .graph_plan_free         = */ ggml_backend_cpu_graph_plan_free,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ ggml_backend_cpu_graph_plan_compute,
     /* .graph_compute           = */ ggml_backend_cpu_graph_compute,
     /* .supports_op             = */ ggml_backend_cpu_supports_op,
+    /* .supports_buft           = */ ggml_backend_cpu_supports_buft,
     /* .offload_op              = */ NULL,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
@@ -1055,6 +1055,9 @@ struct ggml_backend_sched {
     int * node_backend_ids; // [graph_size]
     int * leaf_backend_ids; // [graph_size]
 
+    int * prev_node_backend_ids; // [graph_size]
+    int * prev_leaf_backend_ids; // [graph_size]
+
     // copy of the graph with modified inputs
     struct ggml_cgraph * graph;
 
@@ -1075,6 +1078,8 @@ struct ggml_backend_sched {
     ggml_backend_sched_eval_callback callback_eval;
     void * callback_eval_user_data;
 
+    bool debug;
+
     // align context_buffer to GGML_MEM_ALIGN
 #ifdef _MSC_VER
     __declspec(align(GGML_MEM_ALIGN))
@@ -1097,22 +1102,24 @@ static int ggml_backend_sched_backend_id(ggml_backend_sched_t sched, ggml_backen
     return -1;
 }
 
-static int ggml_backend_sched_backend_from_buffer(ggml_backend_sched_t sched, const struct ggml_tensor * tensor) {
+static int ggml_backend_sched_backend_from_buffer(ggml_backend_sched_t sched, const struct ggml_tensor * tensor, const struct ggml_tensor * op) {
     ggml_backend_buffer_t buffer = tensor->buffer;
     if (buffer == NULL) {
         return -1;
     }
 
-    // find highest prio backend that supports the buffer type
+    // find highest prio backend that supports the buffer type and the op
     for (int i = 0; i < sched->n_backends; i++) {
-        if (ggml_backend_buft_supports_backend(buffer->buft, sched->backends[i])) {
+        if (ggml_backend_supports_buft(sched->backends[i], buffer->buft) &&
+            ggml_backend_supports_op(sched->backends[i], op)) {
             return i;
         }
     }
 
-    fprintf(stderr, "%s: error: no backend supports buffer type %s used in tensor %s\n",
-        __func__, ggml_backend_buffer_name(buffer), tensor->name);
-    GGML_ASSERT(false);
+#ifndef NDEBUG
+    fprintf(stderr, "%s: warning: no backend supports op %s with a weight with buffer type %s used in tensor %s, the weight will need to be copied\n",
+        __func__, ggml_op_desc(tensor), ggml_backend_buffer_name(buffer), tensor->name);
+#endif
 
     return -1;
 }
@@ -1131,7 +1138,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
     // TODO: use supports_op to check if the backend supports the op
 
     // assign pre-allocated nodes to their backend
-    int cur_backend_id = ggml_backend_sched_backend_from_buffer(sched, tensor);
+    int cur_backend_id = ggml_backend_sched_backend_from_buffer(sched, tensor, tensor);
     if (cur_backend_id != -1) {
         SET_CAUSE(tensor, "1.dst");
         return cur_backend_id;
@@ -1139,7 +1146,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
 
     // view_src
     if (tensor->view_src != NULL) {
-        cur_backend_id = ggml_backend_sched_backend_from_buffer(sched, tensor->view_src);
+        cur_backend_id = ggml_backend_sched_backend_from_buffer(sched, tensor->view_src, tensor);
         if (cur_backend_id != -1) {
             SET_CAUSE(tensor, "1.vsrc");
             return cur_backend_id;
@@ -1161,7 +1168,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
             continue;
         }
         if (src->buffer != NULL && src->buffer->usage == GGML_BACKEND_BUFFER_USAGE_WEIGHTS) {
-            int src_backend_id = ggml_backend_sched_backend_from_buffer(sched, src);
+            int src_backend_id = ggml_backend_sched_backend_from_buffer(sched, src, tensor);
             // check if a backend with higher prio wants to offload the op
             if (src_backend_id == sched->n_backends - 1) {
                 for (int b = 0; b < src_backend_id; b++) {
@@ -1223,10 +1230,33 @@ static void ggml_backend_sched_print_assignments(ggml_backend_sched_t sched, str
     }
 }
 
-//#define DEBUG_PASS1
-//#define DEBUG_PASS2
-//#define DEBUG_PASS3
-//#define DEBUG_PASS4
+static bool ggml_backend_sched_buffer_supported(ggml_backend_sched_t sched, struct ggml_tensor * t, int backend_id) {
+    ggml_backend_buffer_t buf = t->view_src ? t->view_src->buffer : t->buffer;
+    ggml_backend_buffer_type_t buft = NULL;
+
+    if (buf) {
+        // the tensor is already allocated
+        buft = buf->buft;
+    } else {
+        // see if the tensor already has a backend assigned, and use the buffer type of that backend
+        int tensor_backend_id = tensor_backend_id(t);
+        if (tensor_backend_id == -1 && t->view_src) {
+            tensor_backend_id = tensor_backend_id(t->view_src);
+        }
+        if (tensor_backend_id != -1) {
+            buft = sched->bufts[tensor_backend_id];
+        }
+    }
+
+    return buft != NULL && ggml_backend_supports_buft(sched->backends[backend_id], buft);
+}
+
+static void ggml_backend_sched_set_if_supported(ggml_backend_sched_t sched, struct ggml_tensor * node, int cur_backend_id, int * node_backend_id) {
+    if (ggml_backend_supports_op(sched->backends[cur_backend_id], node)) {
+        *node_backend_id = cur_backend_id;
+        SET_CAUSE(node, "2.sup");
+    }
+}
 
 // assigns backends to ops and splits the graph into subgraphs that can be computed on the same backend
 static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct ggml_cgraph * graph) {
@@ -1280,17 +1310,13 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
             }
         }
     }
-#ifdef DEBUG_PASS1
-    fprintf(stderr, "PASS 1 ASSIGNMENTS\n"); ggml_backend_sched_print_assignments(sched, graph);
-#endif
 
     // pass 2: expand current backend assignments
     // assign the same backend to adjacent nodes
     // expand gpu backends (i.e. non last prio) up and down, ignoring cpu (the lowest priority backend)
     // thus, cpu will never be used unless weights are on cpu, or there are no gpu ops between cpu ops
-
-
-    // pass 2.2 expand gpu down
+    // ops unsupported by the backend being expanded will be left unassigned so that they can be assigned later when the locations of its inputs are known
+    // expand gpu down
     {
         int cur_backend_id = -1;
         for (int i = 0; i < graph->n_nodes; i++) {
@@ -1306,13 +1332,12 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                 } else {
                     cur_backend_id = *node_backend_id;
                 }
-            } else {
-                *node_backend_id = cur_backend_id;
-                SET_CAUSE(node, "2.2");
+            } else if (cur_backend_id != -1) {
+                ggml_backend_sched_set_if_supported(sched, node, cur_backend_id, node_backend_id);
             }
         }
     }
-    // pass 2.1 expand gpu up
+    // expand gpu up
     {
         int cur_backend_id = -1;
         for (int i = graph->n_nodes - 1; i >= 0; i--) {
@@ -1328,13 +1353,12 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                 } else {
                     cur_backend_id = *node_backend_id;
                 }
-            } else {
-                *node_backend_id = cur_backend_id;
-                SET_CAUSE(node, "2.1");
+            } else if (cur_backend_id != -1) {
+                ggml_backend_sched_set_if_supported(sched, node, cur_backend_id, node_backend_id);
             }
         }
     }
-    // pass 2.4 expand rest down
+    // expand rest down
     {
         int cur_backend_id = -1;
         for (int i = 0; i < graph->n_nodes; i++) {
@@ -1345,13 +1369,12 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
             int * node_backend_id = &tensor_backend_id(node);
             if (*node_backend_id != -1) {
                 cur_backend_id = *node_backend_id;
-            } else {
-                *node_backend_id = cur_backend_id;
-                SET_CAUSE(node, "2.4");
+            } else if (cur_backend_id != -1) {
+                ggml_backend_sched_set_if_supported(sched, node, cur_backend_id, node_backend_id);
             }
         }
     }
-    // pass 2.3 expand rest up
+    // expand rest up
     {
         int cur_backend_id = -1;
         for (int i = graph->n_nodes - 1; i >= 0; i--) {
@@ -1362,24 +1385,80 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
             int * node_backend_id = &tensor_backend_id(node);
             if (*node_backend_id != -1) {
                 cur_backend_id = *node_backend_id;
-            } else {
-                *node_backend_id = cur_backend_id;
-                SET_CAUSE(node, "2.3");
+            } else if (cur_backend_id != -1) {
+                ggml_backend_sched_set_if_supported(sched, node, cur_backend_id, node_backend_id);
             }
         }
     }
 
-#ifdef DEBUG_PASS2
-    fprintf(stderr, "PASS 2 ASSIGNMENTS\n"); ggml_backend_sched_print_assignments(sched, graph);
-#endif
+    // pass 3: upgrade nodes to higher prio backends with compatible buffer types
+    // if the tensor is already in the same buffer type (*) as another higher priority backend, we should move it there
+    // however, we also need to verify that the sources are in compatible buffer types
+    // (*) the actual requirement is more relaxed, the buffer type of the backend should be supported by all the users of this tensor further down the graph
+    // however, this is slow to verify, so we have a more strict requirement that the buffer type is the same
+    // this is not uncommon since multiple backends can use host memory, with the same buffer type (eg. BLAS and CPU)
+    // additionally, set remaining unassigned nodes to the backend with the most supported inputs
+    // only nodes that could not be assigned during expansion due to the backend not supporting the op should be unassigned at this point
+    for (int i = 0; i < graph->n_nodes; i++) {
+        struct ggml_tensor * node = graph->nodes[i];
+        if (ggml_is_view_op(node->op)) {
+            continue;
+        }
+        int * node_backend_id = &tensor_backend_id(node);
+        if (*node_backend_id == -1) {
+            // unassigned node: find the backend with the most supported inputs
+            int n_supported_best = -1;
+            for (int b = 0; b < sched->n_backends; b++) {
+                if (ggml_backend_supports_op(sched->backends[b], node)) {
+                    int n_supported = 0;
+                    for (int j = 0; j < GGML_MAX_SRC; j++) {
+                        struct ggml_tensor * src = node->src[j];
+                        if (src == NULL) {
+                            continue;
+                        }
+                        if ((tensor_backend_id(src) != -1 || tensor_backend_id(src->view_src) != -1) && ggml_backend_sched_buffer_supported(sched, src, b)) {
+                            n_supported++;
+                        }
+                    }
+                    if (n_supported > n_supported_best) {
+                        n_supported_best = n_supported;
+                        *node_backend_id = b;
+                        SET_CAUSE(node, "3.best");
+                    }
+                }
+            }
+        } else {
+            // assigned node: upgrade to higher prio backend if possible
+            for (int b = 0; b < *node_backend_id; b++) {
+                if (sched->bufts[b] == sched->bufts[*node_backend_id] && ggml_backend_supports_op(sched->backends[b], node)) {
+                    bool supported = true;
+                    for (int j = 0; j < GGML_MAX_SRC; j++) {
+                        struct ggml_tensor * src = node->src[j];
+                        if (src == NULL) {
+                            continue;
+                        }
+                        if (!ggml_backend_sched_buffer_supported(sched, src, b)) {
+                            supported = false;
+                            break;
+                        }
+                    }
+                    if (supported) {
+                        *node_backend_id = b;
+                        SET_CAUSE(node, "3.upg");
+                        break;
+                    }
+                }
+            }
+        }
+    }
 
-    // pass 3: assign backends to remaining src from dst and view_src
+    // pass 4: assign backends to remaining src from dst and view_src
     for (int i = 0; i < graph->n_nodes; i++) {
         struct ggml_tensor * node = graph->nodes[i];
         int * cur_backend_id = &tensor_backend_id(node);
         if (node->view_src != NULL && *cur_backend_id == -1) {
             *cur_backend_id = tensor_backend_id(node->view_src);
-            SET_CAUSE(node, "3.vsrc");
+            SET_CAUSE(node, "4.vsrc");
         }
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             struct ggml_tensor * src = node->src[j];
@@ -1391,17 +1470,14 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                 if (src->view_src != NULL) {
                     // views are always on the same backend as the source
                     *src_backend_id = tensor_backend_id(src->view_src);
-                    SET_CAUSE(src, "3.vsrc");
+                    SET_CAUSE(src, "4.vsrc");
                 } else {
                     *src_backend_id = *cur_backend_id;
-                    SET_CAUSE(src, "3.cur");
+                    SET_CAUSE(src, "4.cur");
                 }
             }
         }
     }
-#ifdef DEBUG_PASS3
-    fprintf(stderr, "PASS 3 ASSIGNMENTS\n"); ggml_backend_sched_print_assignments(sched, graph);
-#endif
 
     // pass 4: split graph, find tensors that need to be copied
     {
@@ -1448,10 +1524,12 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                         }
                     }
                     // check if the split has too many inputs
+                    // FIXME: count the number of inputs instead of only checking when full
                     if (split->n_inputs == GGML_SCHED_MAX_SPLIT_INPUTS) {
                         const size_t id = hash_id(src);
                         int src_backend_id = sched->tensor_backend_id[id];
-                        if (src_backend_id != cur_backend_id && sched->tensor_copies[hash_id(src)][cur_backend_id][0] == NULL) {
+                        bool supported = ggml_backend_sched_buffer_supported(sched, src, cur_backend_id);
+                        if (src_backend_id != cur_backend_id && sched->tensor_copies[hash_id(src)][cur_backend_id][0] == NULL && !supported) {
                             //printf("starting new split because of too many inputs: node %s, input %s\n", node->name, src->name);
                             need_new_split = true;
                             break;
@@ -1486,7 +1564,7 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                 const int src_backend_id = tensor_backend_id(src);
                 assert(src_backend_id != -1); // all inputs should be assigned by now
 
-                if (src->flags & GGML_TENSOR_FLAG_INPUT && sched->n_copies > 1)  {
+                if (src->flags & GGML_TENSOR_FLAG_INPUT && sched->n_copies > 1) {
                     size_t id = hash_id(src);
                     if (sched->tensor_copies[id][src_backend_id][0] == NULL) {
                         ggml_backend_t backend = sched->backends[src_backend_id];
@@ -1511,7 +1589,8 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
                     }
                 }
 
-                if (src_backend_id != node_backend_id) {
+                bool supported = ggml_backend_sched_buffer_supported(sched, src, cur_backend_id);
+                if (src_backend_id != cur_backend_id && !supported) {
                     // create a copy of the input in the split's backend
                     const size_t id = hash_id(src);
                     if (sched->tensor_copies[id][cur_backend_id][0] == NULL) {
@@ -1537,9 +1616,21 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
         split->i_end = graph->n_nodes;
         sched->n_splits = i_split + 1;
     }
-#ifdef DEBUG_PASS4
-    fprintf(stderr, "PASS 4 ASSIGNMENTS\n"); ggml_backend_sched_print_assignments(sched, graph);
-#endif
+
+    if (sched->debug) {
+        ggml_backend_sched_print_assignments(sched, graph);
+    }
+
+    // swap node_backend_ids and leaf_backend_ids and prevs
+    {
+        int * tmp = sched->node_backend_ids;
+        sched->node_backend_ids = sched->prev_node_backend_ids;
+        sched->prev_node_backend_ids = tmp;
+
+        tmp = sched->leaf_backend_ids;
+        sched->leaf_backend_ids = sched->prev_leaf_backend_ids;
+        sched->prev_leaf_backend_ids = tmp;
+    }
 
     // create copies of the graph for each split
     // TODO: avoid this copy
@@ -1613,8 +1704,24 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
 }
 
 static bool ggml_backend_sched_alloc_splits(ggml_backend_sched_t sched) {
+    bool backend_ids_changed = false;
+    for (int i = 0; i < sched->graph->n_nodes; i++) {
+        if (sched->node_backend_ids[i] != sched->prev_node_backend_ids[i]) {
+            backend_ids_changed = true;
+            break;
+        }
+    }
+    if (!backend_ids_changed) {
+        for (int i = 0; i < sched->graph->n_leafs; i++) {
+            if (sched->leaf_backend_ids[i] != sched->prev_leaf_backend_ids[i]) {
+                backend_ids_changed = true;
+                break;
+            }
+        }
+    }
+
     // allocate graph
-    if (!ggml_gallocr_alloc_graph(sched->galloc, sched->graph)) {
+    if (backend_ids_changed || !ggml_gallocr_alloc_graph(sched->galloc, sched->graph)) {
         // the re-allocation may cause the split inputs to be moved to a different address
         ggml_backend_sched_synchronize(sched);
 #ifndef NDEBUG
@@ -1727,6 +1834,8 @@ ggml_backend_sched_t ggml_backend_sched_new(
 
     struct ggml_backend_sched * sched = calloc(1, sizeof(struct ggml_backend_sched));
 
+    sched->debug = getenv("GGML_SCHED_DEBUG") != NULL;
+
     // initialize hash table
     sched->hash_set          = ggml_hash_set_new(graph_size);
     sched->tensor_backend_id = calloc(sched->hash_set.size, sizeof(sched->tensor_backend_id[0]));
@@ -1735,6 +1844,8 @@ ggml_backend_sched_t ggml_backend_sched_new(
     const size_t nodes_size = graph_size + GGML_SCHED_MAX_SPLITS*GGML_SCHED_MAX_SPLIT_INPUTS*2;
     sched->node_backend_ids  = calloc(nodes_size, sizeof(sched->node_backend_ids[0]));
     sched->leaf_backend_ids  = calloc(nodes_size, sizeof(sched->leaf_backend_ids[0]));
+    sched->prev_node_backend_ids = calloc(nodes_size, sizeof(sched->prev_node_backend_ids[0]));
+    sched->prev_leaf_backend_ids = calloc(nodes_size, sizeof(sched->prev_leaf_backend_ids[0]));
 
     sched->n_backends = n_backends;
 
@@ -1747,7 +1858,7 @@ ggml_backend_sched_t ggml_backend_sched_new(
     for (int b = 0; b < n_backends; b++) {
         sched->backends[b] = backends[b];
         sched->bufts[b] = bufts ? bufts[b] : ggml_backend_get_default_buffer_type(backends[b]);
-        GGML_ASSERT(ggml_backend_buft_supports_backend(sched->bufts[b], backends[b]));
+        GGML_ASSERT(ggml_backend_supports_buft(backends[b], sched->bufts[b]));
         if (sched->n_copies > 1) {
             for (int c = 0; c < sched->n_copies; c++) {
                 sched->events[b][c] = ggml_backend_event_new(backends[b]);
@@ -1779,6 +1890,8 @@ void ggml_backend_sched_free(ggml_backend_sched_t sched) {
     free(sched->tensor_copies);
     free(sched->node_backend_ids);
     free(sched->leaf_backend_ids);
+    free(sched->prev_node_backend_ids);
+    free(sched->prev_leaf_backend_ids);
     free(sched);
 }
 
@@ -1875,6 +1988,7 @@ void ggml_backend_sched_set_tensor_backend(ggml_backend_sched_t sched, struct gg
     int backend_index = ggml_backend_sched_backend_id(sched, backend);
     GGML_ASSERT(backend_index >= 0 && backend_index < sched->n_backends);
     tensor_backend_id(node) = backend_index;
+    SET_CAUSE(node, "usr");
 }
 
 ggml_backend_t ggml_backend_sched_get_tensor_backend(ggml_backend_sched_t sched, struct ggml_tensor * node) {
diff --git a/ggml-backend.h b/ggml-backend.h
index c582b0685..47fd81475 100644
--- a/ggml-backend.h
+++ b/ggml-backend.h
@@ -23,7 +23,6 @@ extern "C" {
     GGML_API           size_t                ggml_backend_buft_get_alignment   (ggml_backend_buffer_type_t buft);
     GGML_API           size_t                ggml_backend_buft_get_max_size    (ggml_backend_buffer_type_t buft);
     GGML_API GGML_CALL size_t                ggml_backend_buft_get_alloc_size  (ggml_backend_buffer_type_t buft, struct ggml_tensor * tensor);
-    GGML_API           bool                  ggml_backend_buft_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend);
     GGML_API           bool                  ggml_backend_buft_is_host         (ggml_backend_buffer_type_t buft);
 
     // buffer
@@ -74,6 +73,7 @@ extern "C" {
     GGML_API enum ggml_status ggml_backend_graph_compute      (ggml_backend_t backend, struct ggml_cgraph * cgraph);
     GGML_API enum ggml_status ggml_backend_graph_compute_async(ggml_backend_t backend, struct ggml_cgraph * cgraph);
     GGML_API bool ggml_backend_supports_op(ggml_backend_t backend, const struct ggml_tensor * op);
+    GGML_API bool ggml_backend_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft);
     GGML_API bool ggml_backend_offload_op(ggml_backend_t backend, const struct ggml_tensor * op);
 
     // tensor copy between different backends
@@ -90,7 +90,7 @@ extern "C" {
     GGML_API void                   ggml_backend_event_free       (ggml_backend_event_t event);
     GGML_API void                   ggml_backend_event_record     (ggml_backend_event_t event);
     GGML_API void                   ggml_backend_event_synchronize(ggml_backend_event_t event);
-    GGML_API void                   ggml_backend_event_wait       (ggml_backend_t backend, ggml_backend_event_t event); // wait async on event
+    GGML_API void                   ggml_backend_event_wait       (ggml_backend_t backend, ggml_backend_event_t event);
 
     //
     // CPU backend
@@ -119,7 +119,7 @@ extern "C" {
 
     GGML_API size_t                     ggml_backend_reg_get_count(void);
     GGML_API size_t                     ggml_backend_reg_find_by_name(const char * name);
-    GGML_API ggml_backend_t             ggml_backend_reg_init_backend_from_str(const char * backend_str); // str is name[:params]
+    GGML_API ggml_backend_t             ggml_backend_reg_init_backend_from_str(const char * backend_str); // str is backend_name:params (params is optional)
     GGML_API const char *               ggml_backend_reg_get_name(size_t i);
     GGML_API ggml_backend_t             ggml_backend_reg_init_backend(size_t i, const char * params); // params is backend-specific
     GGML_API ggml_backend_buffer_type_t ggml_backend_reg_get_default_buffer_type(size_t i);
diff --git a/ggml-blas.cpp b/ggml-blas.cpp
new file mode 100644
index 000000000..d709a357b
--- /dev/null
+++ b/ggml-blas.cpp
@@ -0,0 +1,363 @@
+#include "ggml-blas.h"
+#include "ggml-backend-impl.h"
+
+#include <future>
+#include <vector>
+
+#if defined(GGML_USE_ACCELERATE)
+#   include <Accelerate/Accelerate.h>
+#elif defined(GGML_BLAS_USE_MKL)
+#   include <mkl.h>
+#else
+#   include <cblas.h>
+#   ifdef BLIS_ENABLE_CBLAS
+#       include <blis.h>
+#   endif
+#endif
+
+struct ggml_backend_blas_context {
+    int n_threads = GGML_DEFAULT_N_THREADS;
+    std::unique_ptr<char[]> work_data;
+    size_t work_size = 0;
+#ifndef GGML_USE_OPENMP
+    std::vector<std::future<void>> tasks;
+#endif
+};
+
+// helper function to determine if it is better to use BLAS or not
+// for large matrices, BLAS is faster
+static bool ggml_backend_blas_use_blas(const struct ggml_tensor * dst) {
+    const struct ggml_tensor * src0 = dst->src[0];
+    const struct ggml_tensor * src1 = dst->src[1];
+
+    const int64_t ne10 = src1->ne[0];
+
+    const int64_t ne0 = dst->ne[0];
+    const int64_t ne1 = dst->ne[1];
+
+    // TODO: find the optimal values for these
+    if (ggml_is_contiguous(src0) &&
+        ggml_is_contiguous(src1) &&
+        src1->type == GGML_TYPE_F32 &&
+        (ne0 >= 32 && ne1 >= 32 && ne10 >= 32)) {
+
+        /*printf("BLAS: %d %d %d %d %d\n", ne0, ne1, ne10, ne00, ne01);*/
+        return true;
+    }
+
+    return false;
+}
+
+static void ggml_backend_blas_mul_mat(ggml_backend_blas_context * ctx, struct ggml_tensor * dst) {
+    const struct ggml_tensor * src0 = dst->src[0];
+    const struct ggml_tensor * src1 = dst->src[1];
+
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    const enum ggml_type type = src0->type;
+
+    GGML_ASSERT(ne0 == ne01);
+    GGML_ASSERT(ne1 == ne11);
+    GGML_ASSERT(ne2 == ne12);
+    GGML_ASSERT(ne3 == ne13);
+
+    // we don't support permuted src0 or src1
+    GGML_ASSERT(nb00 == ggml_type_size(type));
+    GGML_ASSERT(nb10 == ggml_type_size(src1->type));
+
+    // dst cannot be transposed or permuted
+    GGML_ASSERT(nb0 == sizeof(float));
+    GGML_ASSERT(nb0 <= nb1);
+    GGML_ASSERT(nb1 <= nb2);
+    GGML_ASSERT(nb2 <= nb3);
+
+    // broadcast factors
+    const int64_t r2 = ne12/ne02;
+    const int64_t r3 = ne13/ne03;
+
+    const int64_t ne_plane      = ne01*ne00;
+    const size_t  desired_wsize = type == GGML_TYPE_F32 ? 0 : ne03*ne02*ne_plane*sizeof(float);
+
+    if (ctx->work_size < desired_wsize) {
+        ctx->work_data.reset(new char[desired_wsize]);
+        ctx->work_size = desired_wsize;
+    }
+    void * wdata = ctx->work_data.get();
+
+    // convert src0 to float
+    if (type != GGML_TYPE_F32) {
+        ggml_type_traits_t type_traits = ggml_internal_get_type_traits(type);
+        ggml_to_float_t const to_float = type_traits.to_float;
+
+        for (int64_t i03 = 0; i03 < ne03; i03++) {
+            for (int64_t i02 = 0; i02 < ne02; i02++) {
+                const void  *       x      = (char *)  src0->data + i02*nb02          + i03*nb03;
+                      float * const wplane = (float *) wdata      + i02*ne_plane      + i03*ne02*ne_plane;
+
+                const int min_cols_per_thread = 4096;
+                const int min_rows_per_thread = std::max((int)(min_cols_per_thread/ne00), 1);
+                const int n_threads = std::max(std::min(ctx->n_threads, (int)(ne01/min_rows_per_thread)), 1);
+
+#ifdef GGML_USE_OPENMP
+                #pragma omp parallel for num_threads(n_threads)
+                for (int64_t i01 = 0; i01 < ne01; i01++) {
+                    to_float((const char *) x + i01*nb01, wplane + i01*ne00, ne00);
+                }
+#else
+                for (int i = 1; i < n_threads; i++) {
+                    const int64_t start =       i*ne01/n_threads;
+                    const int64_t end   = (i + 1)*ne01/n_threads;
+                    if (start < end) {
+                        ctx->tasks.push_back(std::async(std::launch::async, [=]() {
+                            for (int64_t i01 = start; i01 < end; i01++) {
+                                to_float((const char *) x + i01*nb01, wplane + i01*ne00, ne00);
+                            }
+                        }));
+                    }
+                }
+                {
+                    // reuse the current thread for the first task
+                    const int64_t start = 0;
+                    const int64_t end   = ne01/n_threads;
+                    for (int64_t i01 = start; i01 < end; i01++) {
+                        to_float((const char *) x + i01*nb01, wplane + i01*ne00, ne00);
+                    }
+                }
+#endif
+            }
+        }
+
+#ifndef GGML_USE_OPENMP
+        // wait for all tasks to finish
+        for (auto & task : ctx->tasks) {
+            task.get();
+        }
+        ctx->tasks.clear();
+#endif
+    }
+
+#if defined(OPENBLAS_VERSION)
+    openblas_set_num_threads(ctx->n_threads);
+#endif
+
+#if defined(BLIS_ENABLE_CBLAS)
+    bli_thread_set_num_threads(ctx->n_threads);
+#endif
+
+    for (int64_t i13 = 0; i13 < ne13; i13++) {
+        for (int64_t i12 = 0; i12 < ne12; i12++) {
+            const int64_t i03 = i13/r3;
+            const int64_t i02 = i12/r2;
+
+            const float * x = (float *) ((char *) src0->data + i02*nb02 + i03*nb03);
+            const float * y = (float *) ((char *) src1->data + i12*nb12 + i13*nb13);
+                  float * d = (float *) ((char *)  dst->data + i12*nb2  + i13*nb3);
+
+            if (type != GGML_TYPE_F32) {
+                x = (float *) wdata + i02*ne_plane + i03*ne02*ne_plane;
+            }
+
+            cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
+                        ne1, ne01, ne10,
+                        1.0f,   y, ne10,
+                                x, ne00,
+                        0.0f,   d, ne01);
+        }
+    }
+}
+
+static void ggml_backend_blas_out_prod(ggml_backend_blas_context * ctx, struct ggml_tensor * dst) {
+    const struct ggml_tensor * src0 = dst->src[0];
+    const struct ggml_tensor * src1 = dst->src[1];
+
+    GGML_TENSOR_BINARY_OP_LOCALS
+
+    GGML_ASSERT(ne0  == ne00);
+    GGML_ASSERT(ne1  == ne10);
+    GGML_ASSERT(ne2  == ne02);
+    GGML_ASSERT(ne02 == ne12);
+    GGML_ASSERT(ne3  == ne13);
+    GGML_ASSERT(ne03 == ne13);
+
+    // we don't support permuted src0 or src1
+    GGML_ASSERT(nb00 == sizeof(float));
+
+    // dst cannot be transposed or permuted
+    GGML_ASSERT(nb0 == sizeof(float));
+    // GGML_ASSERT(nb0 <= nb1);
+    // GGML_ASSERT(nb1 <= nb2);
+    // GGML_ASSERT(nb2 <= nb3);
+
+    // Arguments to ggml_compute_forward_out_prod (expressed as major,minor)
+    // src0: (k,n)
+    // src1: (k,m)
+    // dst:  (m,n)
+    //
+    // Arguments to sgemm (see https://github.com/Reference-LAPACK/lapack/blob/master/BLAS/SRC/sgemm.f)
+    // Also expressed as (major,minor)
+    // a: (m,k): so src1 transposed
+    // b: (k,n): so src0
+    // c: (m,n)
+    //
+    // However, if ggml_is_transposed(src1) is true, then
+    // src1->data already contains a transposed version, so sgemm mustn't
+    // transpose it further.
+
+    int n = src0->ne[0];
+    int k = src0->ne[1];
+    int m = src1->ne[0];
+
+    CBLAS_TRANSPOSE transposeA;
+    int lda;
+
+    if (!ggml_is_transposed(src1)) {
+        transposeA = CblasTrans;
+        lda = m;
+    } else {
+        transposeA = CblasNoTrans;
+        lda = k;
+    }
+
+    float * a = (float *) ((char *) src1->data);
+    float * b = (float *) ((char *) src0->data);
+    float * c = (float *) ((char *) dst->data);
+
+    cblas_sgemm(CblasRowMajor, transposeA, CblasNoTrans, m, n, k, 1.0, a, lda, b, n, 0.0, c, n);
+
+    GGML_UNUSED(ctx);
+}
+
+// backend interface
+
+GGML_CALL static const char * ggml_backend_blas_name(ggml_backend_t backend) {
+    return "BLAS";
+
+    GGML_UNUSED(backend);
+}
+
+GGML_CALL static void ggml_backend_blas_free(ggml_backend_t backend) {
+    ggml_backend_blas_context * ctx = (ggml_backend_blas_context *)backend->context;
+    delete ctx;
+    delete backend;
+}
+
+GGML_CALL static ggml_backend_buffer_type_t ggml_backend_blas_get_default_buffer_type(ggml_backend_t backend) {
+    return ggml_backend_cpu_buffer_type();
+
+    GGML_UNUSED(backend);
+}
+
+GGML_CALL static enum ggml_status ggml_backend_blas_graph_compute(ggml_backend_t backend, struct ggml_cgraph * cgraph) {
+    ggml_backend_blas_context * ctx = (ggml_backend_blas_context *)backend->context;
+
+    for (int i = 0; i < cgraph->n_nodes; i++) {
+        struct ggml_tensor * node = cgraph->nodes[i];
+
+        switch (node->op) {
+            case GGML_OP_MUL_MAT:
+                ggml_backend_blas_mul_mat(ctx, node);
+                break;
+
+            case GGML_OP_OUT_PROD:
+                ggml_backend_blas_out_prod(ctx, node);
+                break;
+
+            case GGML_OP_NONE:
+            case GGML_OP_RESHAPE:
+            case GGML_OP_VIEW:
+            case GGML_OP_PERMUTE:
+            case GGML_OP_TRANSPOSE:
+                break;
+
+            default:
+                fprintf(stderr, "%s: unsupported op %s\n", __func__, ggml_op_desc(node));
+                GGML_ASSERT(false);
+        }
+    }
+
+    return GGML_STATUS_SUCCESS;
+
+    GGML_UNUSED(backend);
+}
+
+GGML_CALL static bool ggml_backend_blas_supports_op(ggml_backend_t backend, const struct ggml_tensor * op) {
+    const struct ggml_tensor * src0 = op->src[0];
+    const struct ggml_tensor * src1 = op->src[1];
+
+    return (op->op == GGML_OP_MUL_MAT  && ggml_backend_blas_use_blas(op)) ||
+           (op->op == GGML_OP_OUT_PROD && op->src[0]->type == GGML_TYPE_F32 &&
+                                          op->src[1]->type == GGML_TYPE_F32 &&
+                                          ggml_is_matrix(src0) &&
+                                          ggml_is_matrix(src1) &&
+                                          ggml_is_contiguous(src0) &&
+                                          (ggml_is_contiguous(src1) || ggml_is_transposed(src1)));
+
+    GGML_UNUSED(backend);
+}
+
+GGML_CALL static bool ggml_backend_blas_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    return ggml_backend_buft_is_host(buft);
+
+    GGML_UNUSED(backend);
+}
+
+static struct ggml_backend_i blas_backend_i = {
+    /* .get_name                = */ ggml_backend_blas_name,
+    /* .free                    = */ ggml_backend_blas_free,
+    /* .get_default_buffer_type = */ ggml_backend_blas_get_default_buffer_type,
+    /* .set_tensor_async        = */ NULL,
+    /* .get_tensor_async        = */ NULL,
+    /* .cpy_tensor_async        = */ NULL,
+    /* .synchronize             = */ NULL,
+    /* .graph_plan_create       = */ NULL,
+    /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
+    /* .graph_plan_compute      = */ NULL,
+    /* .graph_compute           = */ ggml_backend_blas_graph_compute,
+    /* .supports_op             = */ ggml_backend_blas_supports_op,
+    /* .supports_buft           = */ ggml_backend_blas_supports_buft,
+    /* .offload_op              = */ NULL,
+    /* .event_new               = */ NULL,
+    /* .event_free              = */ NULL,
+    /* .event_record            = */ NULL,
+    /* .event_wait              = */ NULL,
+    /* .event_synchronize       = */ NULL,
+};
+
+static ggml_guid_t ggml_backend_blas_guid(void) {
+    static ggml_guid guid = { 0x12, 0xa8, 0xae, 0xf4, 0xc0, 0x1e, 0x61, 0x97, 0x8f, 0xeb, 0x33, 0x04, 0xa1, 0x33, 0x51, 0x2d };
+    return &guid;
+}
+
+ggml_backend_t ggml_backend_blas_init(void) {
+    ggml_backend_blas_context * ctx = new ggml_backend_blas_context;
+
+    ggml_backend_t backend = new ggml_backend {
+        /* .guid      = */ ggml_backend_blas_guid(),
+        /* .interface = */ blas_backend_i,
+        /* .context   = */ ctx,
+    };
+
+#if !defined(NDEBUG) && defined(OPENBLAS_VERSION) && defined(GGML_USE_OPENMP)
+    if (openblas_get_parallel() != OPENBLAS_OPENMP) {
+        fprintf(stderr, "%s: warning: ggml is using OpenMP, but OpenBLAS was compiled without OpenMP support\n", __func__);
+    }
+#endif
+
+#if !defined(NDEBUG) && defined(BLIS_ENABLE_CBLAS) && defined(GGML_USE_OPENMP) && !defined(BLIS_ENABLE_OPENMP)
+    fprintf(stderr, "%s: warning: ggml is using OpenMP, but BLIS was compiled without OpenMP support\n", __func__);
+#endif
+
+    return backend;
+}
+
+GGML_CALL bool ggml_backend_is_blas(ggml_backend_t backend) {
+    return backend != NULL && ggml_guid_matches(backend->guid, ggml_backend_blas_guid());
+}
+
+void ggml_backend_blas_set_n_threads(ggml_backend_t backend_blas, int n_threads) {
+    GGML_ASSERT(ggml_backend_is_blas(backend_blas));
+
+    ggml_backend_blas_context * ctx = (ggml_backend_blas_context *)backend_blas->context;
+    ctx->n_threads = n_threads;
+}
diff --git a/ggml-blas.h b/ggml-blas.h
new file mode 100644
index 000000000..f2e37de06
--- /dev/null
+++ b/ggml-blas.h
@@ -0,0 +1,23 @@
+#pragma once
+
+#include "ggml.h"
+#include "ggml-backend.h"
+
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+// backend API
+GGML_API GGML_CALL ggml_backend_t ggml_backend_blas_init(void);
+
+GGML_API GGML_CALL bool ggml_backend_is_blas(ggml_backend_t backend);
+
+// number of threads used for conversion to float
+// for openblas and blis, this will also set the number of threads used for blas operations
+GGML_API GGML_CALL void ggml_backend_blas_set_n_threads(ggml_backend_t backend_blas, int n_threads);
+
+
+#ifdef  __cplusplus
+}
+#endif
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index c6bc3f64c..64d3b6747 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -543,6 +543,10 @@ GGML_CALL static const char * ggml_backend_cuda_buffer_type_name(ggml_backend_bu
     return ctx->name.c_str();
 }
 
+static bool ggml_backend_buft_is_cuda(ggml_backend_buffer_type_t buft) {
+    return buft->iface.get_name == ggml_backend_cuda_buffer_type_name;
+}
+
 GGML_CALL static ggml_backend_buffer_t ggml_backend_cuda_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
     ggml_backend_cuda_buffer_type_context * buft_ctx = (ggml_backend_cuda_buffer_type_context *)buft->context;
 
@@ -585,24 +589,12 @@ GGML_CALL static size_t ggml_backend_cuda_buffer_type_get_alloc_size(ggml_backen
     GGML_UNUSED(buft);
 }
 
-GGML_CALL static bool ggml_backend_cuda_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    if (!ggml_backend_is_cuda(backend)) {
-        return false;
-    }
-
-    ggml_backend_cuda_buffer_type_context * buft_ctx = (ggml_backend_cuda_buffer_type_context *)buft->context;
-    ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
-
-    return buft_ctx->device == cuda_ctx->device;
-}
-
 static ggml_backend_buffer_type_i ggml_backend_cuda_buffer_type_interface = {
     /* .get_name         = */ ggml_backend_cuda_buffer_type_name,
     /* .alloc_buffer     = */ ggml_backend_cuda_buffer_type_alloc_buffer,
     /* .get_alignment    = */ ggml_backend_cuda_buffer_type_get_alignment,
     /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
     /* .get_alloc_size   = */ ggml_backend_cuda_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_cuda_buffer_type_supports_backend,
     /* .is_host          = */ NULL,
 };
 
@@ -863,6 +855,10 @@ GGML_CALL static const char * ggml_backend_cuda_split_buffer_type_name(ggml_back
     GGML_UNUSED(buft);
 }
 
+static bool ggml_backend_buft_is_cuda_split(ggml_backend_buffer_type_t buft) {
+    return buft->iface.get_name == ggml_backend_cuda_split_buffer_type_name;
+}
+
 GGML_CALL static ggml_backend_buffer_t ggml_backend_cuda_split_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
     // since we don't know the exact split after rounding, we cannot allocate the device buffers at this point
     // instead, we allocate them for each tensor separately in init_tensor
@@ -906,12 +902,6 @@ GGML_CALL static size_t ggml_backend_cuda_split_buffer_type_get_alloc_size(ggml_
     return total_size;
 }
 
-GGML_CALL static bool ggml_backend_cuda_split_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    return ggml_backend_is_cuda(backend);
-
-    GGML_UNUSED(buft);
-}
-
 GGML_CALL static bool ggml_backend_cuda_split_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
     return false;
 
@@ -924,7 +914,6 @@ static ggml_backend_buffer_type_i ggml_backend_cuda_split_buffer_type_interface
     /* .get_alignment    = */ ggml_backend_cuda_split_buffer_type_get_alignment,
     /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
     /* .get_alloc_size   = */ ggml_backend_cuda_split_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_cuda_split_buffer_type_supports_backend,
     /* .is_host          = */ ggml_backend_cuda_split_buffer_type_is_host,
 };
 
@@ -1024,7 +1013,6 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_cuda_host_buffer_type() {
             /* .get_alignment    = */ ggml_backend_cpu_buffer_type()->iface.get_alignment,
             /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
             /* .get_alloc_size   = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size,
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend,
             /* .is_host          = */ ggml_backend_cpu_buffer_type()->iface.is_host,
         },
         /* .context  = */ nullptr,
@@ -2879,6 +2867,20 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons
     GGML_UNUSED(backend);
 }
 
+GGML_CALL static bool ggml_backend_cuda_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    if (ggml_backend_buft_is_cuda_split(buft)) {
+        return true;
+    }
+
+    if (ggml_backend_buft_is_cuda(buft)) {
+        ggml_backend_cuda_context * cuda_ctx = (ggml_backend_cuda_context *)backend->context;
+        ggml_backend_cuda_buffer_type_context * buft_ctx = (ggml_backend_cuda_buffer_type_context *)buft->context;
+        return buft_ctx->device == cuda_ctx->device;
+    }
+
+    return false;
+}
+
 GGML_CALL static bool ggml_backend_cuda_offload_op(ggml_backend_t backend, const ggml_tensor * op) {
     const int min_batch_size = 32;
 
@@ -2951,9 +2953,11 @@ static ggml_backend_i ggml_backend_cuda_interface = {
     /* .synchronize             = */ ggml_backend_cuda_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_cuda_graph_compute,
     /* .supports_op             = */ ggml_backend_cuda_supports_op,
+    /* .supports_buft           = */ ggml_backend_cuda_supports_buft,
     /* .offload_op              = */ ggml_backend_cuda_offload_op,
     /* .event_new               = */ ggml_backend_cuda_event_new,
     /* .event_free              = */ ggml_backend_cuda_event_free,
diff --git a/ggml-kompute.cpp b/ggml-kompute.cpp
index 18c6f4a10..ed5f2e349 100644
--- a/ggml-kompute.cpp
+++ b/ggml-kompute.cpp
@@ -1902,18 +1902,12 @@ static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_
     return ctx->max_alloc;
 }
 
-static bool ggml_backend_kompute_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    GGML_UNUSED(buft);
-    return ggml_backend_is_kompute(backend);
-}
-
 static ggml_backend_buffer_type_i ggml_backend_kompute_buffer_type_interface = {
     /* .get_name         = */ ggml_backend_kompute_buffer_type_get_name,
     /* .alloc_buffer     = */ ggml_backend_kompute_buffer_type_alloc_buffer,
     /* .get_alignment    = */ ggml_backend_kompute_buffer_type_get_alignment,
     /* .get_max_size     = */ ggml_backend_vk_buffer_type_get_max_size,
     /* .get_alloc_size   = */ NULL, // defaults to ggml_nbytes
-    /* .supports_backend = */ ggml_backend_kompute_buffer_type_supports_backend,
     /* .is_host          = */ NULL,
 };
 
@@ -1973,6 +1967,11 @@ static bool ggml_backend_kompute_supports_op(ggml_backend_t backend, const struc
     return ggml_vk_supports_op(op);
 }
 
+static bool ggml_backend_kompute_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    GGML_UNUSED(backend);
+    return buft->iface.get_name == ggml_backend_kompute_buffer_type_get_name;
+}
+
 static struct ggml_backend_i kompute_backend_i = {
     /* .get_name                = */ ggml_backend_kompute_name,
     /* .free                    = */ ggml_backend_kompute_free,
@@ -1983,9 +1982,11 @@ static struct ggml_backend_i kompute_backend_i = {
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_kompute_graph_compute,
     /* .supports_op             = */ ggml_backend_kompute_supports_op,
+    /* .supports_buft           = */ ggml_backend_kompute_supports_buft,
     /* .offload_op              = */ NULL,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
diff --git a/ggml-metal.m b/ggml-metal.m
index b5c287347..ec9e95302 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -3044,12 +3044,6 @@ GGML_CALL static size_t ggml_backend_metal_buffer_type_get_max_size(ggml_backend
     UNUSED(buft);
 }
 
-GGML_CALL static bool ggml_backend_metal_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    return ggml_backend_is_metal(backend) || ggml_backend_is_cpu(backend);
-
-    UNUSED(buft);
-}
-
 GGML_CALL static bool ggml_backend_metal_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
     return true;
 
@@ -3064,7 +3058,6 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_metal_buffer_type(void) {
             /* .get_alignment    = */ ggml_backend_metal_buffer_type_get_alignment,
             /* .get_max_size     = */ ggml_backend_metal_buffer_type_get_max_size,
             /* .get_alloc_size   = */ NULL, // defaults to ggml_nbytes
-            /* .supports_backend = */ ggml_backend_metal_buffer_type_supports_backend,
             /* .is_host          = */ ggml_backend_metal_buffer_type_is_host,
         },
         /* .context = */ NULL,
@@ -3179,6 +3172,12 @@ GGML_CALL static bool ggml_backend_metal_supports_op(ggml_backend_t backend, con
     return ggml_metal_supports_op(metal_ctx, op);
 }
 
+GGML_CALL static bool ggml_backend_metal_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    return buft->iface.get_name == ggml_backend_metal_buffer_type_get_name;
+
+    UNUSED(backend);
+}
+
 static struct ggml_backend_i ggml_backend_metal_i = {
     /* .get_name                = */ ggml_backend_metal_name,
     /* .free                    = */ ggml_backend_metal_free,
@@ -3189,9 +3188,11 @@ static struct ggml_backend_i ggml_backend_metal_i = {
     /* .synchronize             = */ NULL,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_metal_graph_compute,
     /* .supports_op             = */ ggml_backend_metal_supports_op,
+    /* .supports_buft           = */ ggml_backend_metal_supports_buft,
     /* .offload_op              = */ NULL,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
diff --git a/ggml-rpc.cpp b/ggml-rpc.cpp
index 679ce4f28..9b95193d3 100644
--- a/ggml-rpc.cpp
+++ b/ggml-rpc.cpp
@@ -540,22 +540,12 @@ GGML_CALL static size_t ggml_backend_rpc_buffer_type_get_alloc_size(ggml_backend
     return ggml_nbytes(tensor);
 }
 
-GGML_CALL static bool ggml_backend_rpc_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    if (!ggml_backend_is_rpc(backend)) {
-        return false;
-    }
-    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
-    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
-    return buft_ctx->endpoint == rpc_ctx->endpoint;
-}
-
 static ggml_backend_buffer_type_i ggml_backend_rpc_buffer_type_interface = {
     /* .get_name         = */ ggml_backend_rpc_buffer_type_name,
     /* .alloc_buffer     = */ ggml_backend_rpc_buffer_type_alloc_buffer,
     /* .get_alignment    = */ ggml_backend_rpc_buffer_type_get_alignment,
     /* .get_max_size     = */ ggml_backend_rpc_get_max_size,
     /* .get_alloc_size   = */ ggml_backend_rpc_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_rpc_buffer_type_supports_backend,
     /* .is_host          = */ NULL,
 };
 
@@ -638,6 +628,15 @@ GGML_CALL static bool ggml_backend_rpc_supports_op(ggml_backend_t backend, const
     return false;
 }
 
+GGML_CALL static bool ggml_backend_rpc_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    if (buft->iface.get_name == ggml_backend_rpc_buffer_type_name) {
+        return false;
+    }
+    ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;
+    ggml_backend_rpc_context * rpc_ctx = (ggml_backend_rpc_context *)backend->context;
+    return buft_ctx->endpoint == rpc_ctx->endpoint;
+}
+
 static ggml_backend_i ggml_backend_rpc_interface = {
     /* .get_name                = */ ggml_backend_rpc_name,
     /* .free                    = */ ggml_backend_rpc_free,
@@ -648,9 +647,11 @@ static ggml_backend_i ggml_backend_rpc_interface = {
     /* .synchronize             = */ ggml_backend_rpc_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_rpc_graph_compute,
     /* .supports_op             = */ ggml_backend_rpc_supports_op,
+    /* .supports_buft           = */ ggml_backend_rpc_supports_buft,
     /* .offload_op              = */ NULL,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index e7d260bd4..6f41ed272 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -16575,22 +16575,12 @@ GGML_CALL static size_t ggml_backend_sycl_buffer_type_get_alloc_size(ggml_backen
     UNUSED(buft);
 }
 
-GGML_CALL static bool ggml_backend_sycl_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    if (!ggml_backend_is_sycl(backend)) {
-        return false;
-    }
-    ggml_backend_sycl_buffer_type_context * buft_ctx = (ggml_backend_sycl_buffer_type_context *)buft->context;
-    ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
-    return buft_ctx->device == sycl_ctx->device;
-}
-
 static ggml_backend_buffer_type_i ggml_backend_sycl_buffer_type_interface = {
     /* .get_name         = */ ggml_backend_sycl_buffer_type_name,
     /* .alloc_buffer     = */ ggml_backend_sycl_buffer_type_alloc_buffer,
     /* .get_alignment    = */ ggml_backend_sycl_buffer_type_get_alignment,
     /* .get_max_size     = */ ggml_backend_sycl_buffer_type_get_max_size,
     /* .get_alloc_size   = */ ggml_backend_sycl_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_sycl_buffer_type_supports_backend,
     /* .is_host          = */ nullptr,
 };
 
@@ -16942,12 +16932,6 @@ GGML_CALL static size_t ggml_backend_sycl_split_buffer_type_get_alloc_size(ggml_
     return total_size;
 }
 
-GGML_CALL static bool ggml_backend_sycl_split_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    return ggml_backend_is_sycl(backend);
-
-    UNUSED(buft);
-}
-
 GGML_CALL static bool ggml_backend_sycl_split_buffer_type_is_host(ggml_backend_buffer_type_t buft) {
     return false;
 
@@ -16960,7 +16944,6 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_split_buffer_type_interface
     /* .get_alignment    = */ ggml_backend_sycl_split_buffer_type_get_alignment,
     /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
     /* .get_alloc_size   = */ ggml_backend_sycl_split_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_sycl_split_buffer_type_supports_backend,
     /* .is_host          = */ ggml_backend_sycl_split_buffer_type_is_host,
 };
 
@@ -17046,7 +17029,6 @@ ggml_backend_buffer_type_t ggml_backend_sycl_host_buffer_type() {
             /* .get_alignment    = */ ggml_backend_cpu_buffer_type()->iface.get_alignment,
             /* .get_max_size     = */ NULL, // TODO: return device.maxBufferLength
             /* .get_alloc_size   = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size,
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend,
             /* .is_host          = */ ggml_backend_cpu_buffer_type()->iface.is_host,
         },
         /* .context  = */ nullptr,
@@ -17311,6 +17293,14 @@ GGML_CALL static bool ggml_backend_sycl_offload_op(ggml_backend_t backend, const
     GGML_UNUSED(backend);
 }
 
+GGML_CALL static bool ggml_backend_sycl_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    if (buft->iface.get_name != ggml_backend_sycl_buffer_type_name) {
+        return false;
+    }
+    ggml_backend_sycl_buffer_type_context * buft_ctx = (ggml_backend_sycl_buffer_type_context *)buft->context;
+    ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
+    return buft_ctx->device == sycl_ctx->device;
+}
 
 static ggml_backend_i ggml_backend_sycl_interface = {
     /* .get_name                = */ ggml_backend_sycl_name,
@@ -17322,9 +17312,11 @@ static ggml_backend_i ggml_backend_sycl_interface = {
     /* .synchronize             = */ ggml_backend_sycl_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_sycl_graph_compute,
     /* .supports_op             = */ ggml_backend_sycl_supports_op,
+    /* .supports_buft           = */ ggml_backend_sycl_supports_buft,
     /* .offload_op              = */ ggml_backend_sycl_offload_op,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 5b9280491..e2d17a352 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -6142,24 +6142,12 @@ GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_
     UNUSED(buft);
 }
 
-GGML_CALL static bool ggml_backend_vk_buffer_type_supports_backend(ggml_backend_buffer_type_t buft, ggml_backend_t backend) {
-    if (!ggml_backend_is_vk(backend)) {
-        return false;
-    }
-
-    ggml_backend_vk_buffer_type_context * buft_ctx = (ggml_backend_vk_buffer_type_context *)buft->context;
-    ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-
-    return buft_ctx->ctx->idx == ctx->idx;
-}
-
 static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = {
     /* .get_name         = */ ggml_backend_vk_buffer_type_name,
     /* .alloc_buffer     = */ ggml_backend_vk_buffer_type_alloc_buffer,
     /* .get_alignment    = */ ggml_backend_vk_buffer_type_get_alignment,
     /* .get_max_size     = */ ggml_backend_vk_buffer_type_get_max_size,
     /* .get_alloc_size   = */ ggml_backend_vk_buffer_type_get_alloc_size,
-    /* .supports_backend = */ ggml_backend_vk_buffer_type_supports_backend,
     /* .is_host          = */ NULL,
 };
 
@@ -6235,7 +6223,6 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() {
             /* .get_alignment    = */ ggml_backend_vk_host_buffer_type_get_alignment,
             /* .get_max_size     = */ NULL, // defaults to SIZE_MAX
             /* .get_alloc_size   = */ ggml_backend_cpu_buffer_type()->iface.get_alloc_size,
-            /* .supports_backend = */ ggml_backend_cpu_buffer_type()->iface.supports_backend,
             /* .is_host          = */ ggml_backend_cpu_buffer_type()->iface.is_host,
         },
         /* .context  = */ nullptr,
@@ -6551,6 +6538,17 @@ GGML_CALL static bool ggml_backend_vk_offload_op(ggml_backend_t backend, const g
     UNUSED(backend);
 }
 
+GGML_CALL static bool ggml_backend_vk_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
+    if (buft->iface.get_name != ggml_backend_vk_buffer_type_name) {
+        return false;
+    }
+
+    ggml_backend_vk_buffer_type_context * buft_ctx = (ggml_backend_vk_buffer_type_context *)buft->context;
+    ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
+
+    return buft_ctx->ctx->idx == ctx->idx;
+}
+
 // TODO: enable async and synchronize
 static ggml_backend_i ggml_backend_vk_interface = {
     /* .get_name                = */ ggml_backend_vk_name,
@@ -6562,9 +6560,11 @@ static ggml_backend_i ggml_backend_vk_interface = {
     /* .synchronize             = */ NULL,  // ggml_backend_vk_synchronize,
     /* .graph_plan_create       = */ NULL,
     /* .graph_plan_free         = */ NULL,
+    /* .graph_plan_update       = */ NULL,
     /* .graph_plan_compute      = */ NULL,
     /* .graph_compute           = */ ggml_backend_vk_graph_compute,
     /* .supports_op             = */ ggml_backend_vk_supports_op,
+    /* .supports_buft           = */ ggml_backend_vk_supports_buft,
     /* .offload_op              = */ ggml_backend_vk_offload_op,
     /* .event_new               = */ NULL,
     /* .event_free              = */ NULL,
diff --git a/ggml.c b/ggml.c
index 2ea1d7677..d5d33c2ba 100644
--- a/ggml.c
+++ b/ggml.c
@@ -297,12 +297,6 @@ inline static void * ggml_calloc(size_t num, size_t size) {
 
 #if defined(GGML_USE_ACCELERATE)
 #include <Accelerate/Accelerate.h>
-#elif defined(GGML_USE_OPENBLAS)
-#if defined(GGML_BLAS_USE_MKL)
-#include <mkl.h>
-#else
-#include <cblas.h>
-#endif
 #endif
 
 // floating point type used to accumulate sums
@@ -12179,39 +12173,6 @@ static void ggml_compute_forward_group_norm(
 
 // ggml_compute_forward_mul_mat
 
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-// helper function to determine if it is better to use BLAS or not
-// for large matrices, BLAS is faster
-static bool ggml_compute_forward_mul_mat_use_blas(struct ggml_tensor * dst) {
-    const struct ggml_tensor * src0 = dst->src[0];
-    const struct ggml_tensor * src1 = dst->src[1];
-
-    //const int64_t ne00 = src0->ne[0];
-    //const int64_t ne01 = src0->ne[1];
-
-    const int64_t ne10 = src1->ne[0];
-
-    const int64_t ne0 = dst->ne[0];
-    const int64_t ne1 = dst->ne[1];
-
-    // NOTE: with GGML_OP_MUL_MAT_ID we don't want to go through the BLAS branch because it will dequantize (to_float)
-    //       all the experts for each batch element and the processing would become incredibly slow
-    // TODO: find the optimal values for these
-    if (dst->op != GGML_OP_MUL_MAT_ID &&
-        ggml_is_contiguous(src0) &&
-        ggml_is_contiguous(src1) &&
-      //src0->type == GGML_TYPE_F32 &&
-        src1->type == GGML_TYPE_F32 &&
-        (ne0 >= 32 && ne1 >= 32 && ne10 >= 32)) {
-
-        /*printf("BLAS: %d %d %d %d %d\n", ne0, ne1, ne10, ne00, ne01);*/
-        return true;
-    }
-
-    return false;
-}
-#endif
-
 static void ggml_compute_forward_mul_mat_one_chunk(
     const struct ggml_compute_params * params,
     struct ggml_tensor * dst,
@@ -12349,73 +12310,6 @@ static void ggml_compute_forward_mul_mat(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-    if (ggml_compute_forward_mul_mat_use_blas(dst)) {
-        const int64_t ne_plane      = ne01*ne00;
-        const size_t  desired_wsize = ne13*ne12*ne_plane*sizeof(float);
-        UNUSED(desired_wsize);
-
-        if (params->type == GGML_TASK_TYPE_INIT) {
-            if (type != GGML_TYPE_F32) {
-                assert(params->wsize >= desired_wsize);
-                // parallelize by src0 rows
-                for (int64_t i13 = 0; i13 < ne13; i13++) {
-                    for (int64_t i12 = 0; i12 < ne12; i12++) {
-                        // broadcast src0 into src1 across 2nd,3rd dimension
-                        const int64_t i03 = i13/r3;
-                        const int64_t i02 = i12/r2;
-
-                        const void           *       x        = (char *)  src0->data    + i02*nb02          + i03*nb03;
-                              float          * const wdata    = (float *) params->wdata + i13*ne12*ne_plane + i12*ne_plane;
-                              ggml_to_float_t  const to_float = type_traits[type].to_float;
-
-                        for (int64_t i01 = ith; i01 < ne01; i01 += nth) {
-                            to_float((const char *) x + i01*nb01, wdata + i01*ne00, ne00);
-                        }
-                    }
-                }
-            }
-            return;
-        }
-
-        if (params->type == GGML_TASK_TYPE_FINALIZE) {
-            return;
-        }
-
-        // perform sgemm, parallelization controlled by blas lib
-        if (ith != 0) {
-            return;
-        }
-
-        //const int64_t tgemm0 = ggml_perf_time_us();
-        for (int64_t i13 = 0; i13 < ne13; i13++) {
-            for (int64_t i12 = 0; i12 < ne12; i12++) {
-                const int64_t i03 = i13/r3;
-                const int64_t i02 = i12/r2;
-
-                const void  * x = (char *)            src0->data + i02*nb02 + i03*nb03;
-                const float * y = (float *) ((char *) src1->data + i12*nb12 + i13*nb13);
-                      float * d = (float *) ((char *)  dst->data + i12*nb2  + i13*nb3);
-
-                if (type != GGML_TYPE_F32) {
-                    x = (float *) params->wdata + i13*ne12*ne_plane + i12*ne_plane;
-                }
-
-                cblas_sgemm(CblasRowMajor, CblasNoTrans, CblasTrans,
-                          ne1, ne01, ne10,
-                         1.0f,    y, ne10,
-                                  x, ne00,
-                         0.0f,    d, ne01);
-            }
-        }
-        //printf("cblas_sgemm = %.3f ms, %lld flops\n", (ggml_perf_time_us() - tgemm0)/1000.0, ne13*ne12*ne1*ne01*ne10*2);
-
-        //printf("CBLAS = %f ms, %d x %d x %d x %d\n", (ggml_perf_time_us() - t0)/1000.0, ne0, ne1, ne2, ne3);
-
-        return;
-    }
-#endif
-
 #if GGML_USE_LLAMAFILE
     const bool src1_cont = ggml_is_contiguous(src1);
 
@@ -12796,19 +12690,7 @@ static void ggml_compute_forward_out_prod_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-    bool use_blas = ggml_is_matrix(src0) &&
-        ggml_is_matrix(src1) &&
-        ggml_is_contiguous(src0) &&
-        (ggml_is_contiguous(src1) || ggml_is_transposed(src1));
-#endif
-
     if (params->type == GGML_TASK_TYPE_INIT) {
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) // gemm beta will zero dst
-        if (use_blas) {
-            return;
-        }
-#endif
         if (ith != 0) {
             return;
         }
@@ -12820,50 +12702,6 @@ static void ggml_compute_forward_out_prod_f32(
         return;
     }
 
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-    if (use_blas) {
-        if (params->ith != 0) { // All threads other than the first do no work.
-            return;
-        }
-        // Arguments to ggml_compute_forward_out_prod (expressed as major,minor)
-        // src0: (k,n)
-        // src1: (k,m)
-        // dst:  (m,n)
-        //
-        // Arguments to sgemm (see https://github.com/Reference-LAPACK/lapack/blob/master/BLAS/SRC/sgemm.f)
-        // Also expressed as (major,minor)
-        // a: (m,k): so src1 transposed
-        // b: (k,n): so src0
-        // c: (m,n)
-        //
-        // However, if ggml_is_transposed(src1) is true, then
-        // src1->data already contains a transposed version, so sgemm mustn't
-        // transpose it further.
-
-        int n = src0->ne[0];
-        int k = src0->ne[1];
-        int m = src1->ne[0];
-
-        int transposeA, lda;
-
-        if (!ggml_is_transposed(src1)) {
-            transposeA = CblasTrans;
-            lda = m;
-        } else {
-            transposeA = CblasNoTrans;
-            lda = k;
-        }
-
-        float * a = (float *) ((char *) src1->data);
-        float * b = (float *) ((char *) src0->data);
-        float * c = (float *) ((char *) dst->data);
-
-        cblas_sgemm(CblasRowMajor, transposeA, CblasNoTrans, m, n, k, 1.0, a, lda, b, n, 0.0, c, n);
-
-        return;
-    }
-#endif
-
     // dst[:,:,:,:] = 0
     // for i2,i3:
     //   for i1:
@@ -12993,8 +12831,6 @@ static void ggml_compute_forward_out_prod_q_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    // TODO: #if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-
     if (params->type == GGML_TASK_TYPE_INIT) {
         if (ith != 0) {
             return;
@@ -13391,6 +13227,8 @@ static void ggml_compute_forward_get_rows_q(
         const int64_t i10 = (i - i12*ne11*ne10 - i11*ne10);
         const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12);
 
+        assert(i01 >= 0 && i01 < ne01);
+
         dequantize_row_q(
                 (const void *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03),
                      (float *) ((char *)  dst->data + i10*nb1  + i11*nb2  + i12*nb3), nc);
@@ -13434,6 +13272,8 @@ static void ggml_compute_forward_get_rows_f16(
         const int64_t i10 = (i - i12*ne11*ne10 - i11*ne10);
         const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12);
 
+        assert(i01 >= 0 && i01 < ne01);
+
         ggml_fp16_to_fp32_row(
                 (const void *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03),
                      (float *) ((char *)  dst->data + i10*nb1  + i11*nb2  + i12*nb3), nc);
@@ -13477,7 +13317,9 @@ static void ggml_compute_forward_get_rows_bf16(
         const int64_t i10 = (i - i12*ne11*ne10 - i11*ne10);
         const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12);
 
-       ggml_bf16_to_fp32_row(
+        assert(i01 >= 0 && i01 < ne01);
+
+        ggml_bf16_to_fp32_row(
                 (const void *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03),
                      (float *) ((char *)  dst->data + i10*nb1  + i11*nb2  + i12*nb3), nc);
     }
@@ -13520,6 +13362,8 @@ static void ggml_compute_forward_get_rows_f32(
         const int64_t i10 = (i - i12*ne11*ne10 - i11*ne10);
         const int64_t i01 = *(int32_t *) ((char *) src1->data + i10*nb10 + i11*nb11 + i12*nb12);
 
+        assert(i01 >= 0 && i01 < ne01);
+
         ggml_vec_cpy_f32(nc,
                 (float *) ((char *)  dst->data + i10*nb1  + i11*nb2  + i12*nb3),
                 (float *) ((char *) src0->data + i01*nb01 + i11*nb02 + i12*nb03));
@@ -18893,6 +18737,7 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
     switch (node->op) {
         case GGML_OP_CPY:
         case GGML_OP_DUP:
+        case GGML_OP_CONT:
         case GGML_OP_ADD:
         case GGML_OP_ADD1:
         case GGML_OP_ACC:
@@ -18977,7 +18822,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
             } break;
         case GGML_OP_SCALE:
         case GGML_OP_SET:
-        case GGML_OP_CONT:
         case GGML_OP_RESHAPE:
         case GGML_OP_VIEW:
         case GGML_OP_PERMUTE:
@@ -19137,8 +18981,11 @@ static void ggml_graph_compute_thread_sync_node(int * node_n, struct ggml_comput
             sched_yield();
         }
 
-        * node_n = atomic_load(&state->shared->node_n);
-        if (* node_n != last_node_n) break;
+        *node_n = atomic_load(&state->shared->node_n);
+        if (*node_n != last_node_n) {
+            break;
+        }
+
 #if defined(__SSE3__)
         // Tell the processor we're spinning.  It's a processor hint for spinlocks.
         _mm_pause();
@@ -19148,15 +18995,18 @@ static void ggml_graph_compute_thread_sync_node(int * node_n, struct ggml_comput
 
 static void ggml_graph_compute_thread_sync_task(int * task_phase, struct ggml_compute_state * state, const bool do_yield) {
     // wait for other threads to finish
-    const int last_task_phase = * task_phase;
+    const int last_task_phase = *task_phase;
 
     while (true) {
         if (do_yield) {
             sched_yield();
         }
 
-        * task_phase = atomic_load(&state->shared->node_task);
-        if (* task_phase != last_task_phase) break;
+        *task_phase = atomic_load(&state->shared->node_task);
+        if (*task_phase != last_task_phase) {
+            break;
+        }
+
 #if defined(__SSE3__)
         // Tell the processor we're spinning.  It's a processor hint for spinlocks.
         _mm_pause();
@@ -19356,17 +19206,6 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
                 {
                     const enum ggml_type vec_dot_type = type_traits[node->src[0]->type].vec_dot_type;
 
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS)
-                    if (ggml_compute_forward_mul_mat_use_blas(node)) {
-                        if (node->src[0]->type != GGML_TYPE_F32) {
-                            // here we need memory for fully dequantized matrix from src0
-                            // take into account that src0 can be broadcasted into src1[2,3]
-                            cur = ggml_type_size(GGML_TYPE_F32)
-                                * node->src[0]->ne[0]*node->src[0]->ne[1]
-                                * node->src[1]->ne[2]*node->src[1]->ne[3];
-                        }
-                    } else
-#endif
                     if (node->src[1]->type != vec_dot_type) {
                         cur = ggml_row_size(vec_dot_type, ggml_nelements(node->src[1]));
                     }
@@ -22664,7 +22503,7 @@ int ggml_cpu_has_wasm_simd(void) {
 }
 
 int ggml_cpu_has_blas(void) {
-#if defined(GGML_USE_ACCELERATE) || defined(GGML_USE_OPENBLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_SYCL)
+#if defined(GGML_USE_BLAS) || defined(GGML_USE_CUDA) || defined(GGML_USE_VULKAN) || defined(GGML_USE_SYCL)
     return 1;
 #else
     return 0;
diff --git a/llama.cpp b/llama.cpp
index 8b675ea99..225ea977f 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -21,6 +21,10 @@
 #   include "ggml-kompute.h"
 #endif
 
+#ifdef GGML_USE_BLAS
+#  include "ggml-blas.h"
+#endif
+
 #ifdef GGML_USE_METAL
 #  include "ggml-metal.h"
 #endif
@@ -2299,9 +2303,13 @@ struct llama_context {
     std::vector<ggml_backend_t> backends;
 #ifdef GGML_USE_METAL
     ggml_backend_t backend_metal = nullptr;
+#endif
+#ifdef GGML_USE_BLAS
+    ggml_backend_t backend_blas = nullptr;
 #endif
     ggml_backend_t backend_cpu = nullptr;
 
+
     const llama_model & model;
 
     // key + value cache for the self attention
@@ -11529,7 +11537,8 @@ static struct ggml_cgraph * llama_build_graph(
         if (batch.n_tokens < 32 || full_offload) {
             if (il != -1 && strcmp(name, "norm") == 0) {
                 for (auto * backend : lctx.backends) {
-                    if (ggml_backend_buft_supports_backend(lctx.model.buft_layer[il].buft, backend)) {
+                    if (ggml_backend_supports_buft(backend, lctx.model.buft_layer[il].buft) &&
+                        (ggml_backend_supports_op(backend, cur) || ggml_backend_offload_op(backend, cur))) {
                         ggml_backend_sched_set_tensor_backend(lctx.sched, cur, backend);
                         break;
                     }
@@ -12026,6 +12035,11 @@ static void llama_graph_compute(
         ggml_backend_cpu_set_n_threads(lctx.backend_cpu, n_threads);
         ggml_backend_cpu_set_abort_callback(lctx.backend_cpu, lctx.abort_callback, lctx.abort_callback_data);
     }
+#ifdef GGML_USE_BLAS
+    if (lctx.backend_blas != nullptr) {
+        ggml_backend_blas_set_n_threads(lctx.backend_blas, n_threads);
+    }
+#endif
 
     ggml_backend_sched_graph_compute_async(lctx.sched, gf);
 
@@ -12248,17 +12262,6 @@ static int llama_decode_internal(
         }
         // LLAMA_LOG_INFO("graph build time: %.3f ms (%d nodes, %d leafs)\n", (ggml_time_us() - t_start_us)/1000.0, gf->n_nodes, gf->n_leafs);
 
-        // for big prompts, if BLAS is enabled, it is better to use only one thread
-        // otherwise, the threads are spin-lock waiting for the BLAS calls and are degrading the performance
-        // TODO: this is mostly important for Apple Silicon where CBLAS is still performing very well
-        //       we still need some threads to process all non-mul_mat ops, but not too much to avoid interfering
-        //       with the BLAS calls. need a better solution
-        // MoE Special Case: This logic applies when hparams.n_expert == 0, i.e. the model is NOT an MoE model. When an MoE is
-        //                   being processed then Accelerate/BLAS will not be involved, so capping would limit performance.
-        if (n_tokens >= 32 && hparams.n_expert == 0 && ggml_cpu_has_blas() && !ggml_cpu_has_gpublas()) {
-            n_threads = std::min(4, n_threads);
-        }
-
         ggml_backend_sched_alloc_graph(lctx.sched, gf);
 
         llama_set_inputs(lctx, u_batch);
@@ -16251,6 +16254,16 @@ struct llama_context * llama_new_context_with_model(
             ctx->backends.push_back(backend);
         }
 #endif
+
+#ifdef GGML_USE_BLAS
+        ctx->backend_blas = ggml_backend_blas_init();
+        if (ctx->backend_blas == nullptr) {
+            LLAMA_LOG_WARN("%s: failed to initialize BLAS backend\n", __func__);
+        } else {
+            ctx->backends.push_back(ctx->backend_blas);
+        }
+#endif
+
 #if defined(GGML_USE_RPC)
         if (model->n_gpu_layers > 0) {
             for (const auto & endpoint : model->rpc_servers) {

From a55eb1bf0fa2fd84147bdfd384391e029d988253 Mon Sep 17 00:00:00 2001
From: Galunid <karolek1231456@gmail.com>
Date: Thu, 13 Jun 2024 09:42:41 +0200
Subject: [PATCH 066/131] readme : Remove outdated instructions from README.md
 (#7914) [no ci]

---
 README.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/README.md b/README.md
index d1c6190dd..6c24135d6 100644
--- a/README.md
+++ b/README.md
@@ -622,9 +622,6 @@ python3 -m pip install -r requirements.txt
 # convert the model to ggml FP16 format
 python3 convert-hf-to-gguf.py models/mymodel/
 
-# [Optional] for models using BPE tokenizers
-python convert-hf-to-gguf.py models/mymodel/ --vocab-type bpe
-
 # quantize the model to 4-bits (using Q4_K_M method)
 ./llama-quantize ./models/mymodel/ggml-model-f16.gguf ./models/mymodel/ggml-model-Q4_K_M.gguf Q4_K_M
 

From 172c8256840ffd882ab9992ecedbb587d9b21f15 Mon Sep 17 00:00:00 2001
From: Radoslav Gerganov <rgerganov@gmail.com>
Date: Thu, 13 Jun 2024 15:18:44 +0300
Subject: [PATCH 067/131] rpc : fix ggml_backend_rpc_supports_buft() (#7918)

---
 ggml-rpc.cpp | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/ggml-rpc.cpp b/ggml-rpc.cpp
index 9b95193d3..22d9524b8 100644
--- a/ggml-rpc.cpp
+++ b/ggml-rpc.cpp
@@ -624,12 +624,12 @@ GGML_CALL static enum ggml_status ggml_backend_rpc_graph_compute(ggml_backend_t
 GGML_CALL static bool ggml_backend_rpc_supports_op(ggml_backend_t backend, const ggml_tensor * op) {
     UNUSED(backend);
     UNUSED(op);
-    GGML_ASSERT(false && "not implemented");
-    return false;
+    //TODO: call the remote backend and cache the results
+    return true;
 }
 
 GGML_CALL static bool ggml_backend_rpc_supports_buft(ggml_backend_t backend, ggml_backend_buffer_type_t buft) {
-    if (buft->iface.get_name == ggml_backend_rpc_buffer_type_name) {
+    if (buft->iface.get_name != ggml_backend_rpc_buffer_type_name) {
         return false;
     }
     ggml_backend_rpc_buffer_type_context * buft_ctx = (ggml_backend_rpc_buffer_type_context *)buft->context;

From 41b9260f18eb7f325c952006ac46afc1d0d8ad2f Mon Sep 17 00:00:00 2001
From: Elaine <elaine.zosa@gmail.com>
Date: Fri, 14 Jun 2024 13:16:49 +0300
Subject: [PATCH 068/131] convert : add Poro-34B-chat tokenizer support (#7713)

* support for Poro chat pre-tokenizer

* add support for Poro pre-tokenizer

* Update convert-hf-to-gguf-update.py

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* Change Poro-34B-chat to poro-chat

* Change Poro-34B-chat to poro-chat

* Update convert-hf-to-gguf-update.py

* Update llama.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---
 convert-hf-to-gguf-update.py | 1 +
 convert-hf-to-gguf.py        | 3 +++
 llama.cpp                    | 8 ++++++++
 llama.h                      | 1 +
 4 files changed, 13 insertions(+)

diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py
index f43b15760..fbf1e1ea3 100755
--- a/convert-hf-to-gguf-update.py
+++ b/convert-hf-to-gguf-update.py
@@ -83,6 +83,7 @@ models = [
     {"name": "jina-v2-es",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-es", },
     {"name": "jina-v2-de",     "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-de", },
     {"name": "smaug-bpe",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct", },
+    {"name": "poro-chat",      "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LumiOpen/Poro-34B-chat", },
     {"name": "jina-v2-code",   "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/jinaai/jina-embeddings-v2-base-code", },
 ]
 
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 025405a2c..55ce502db 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -477,6 +477,9 @@ class Model:
         if chkhsh == "c136ed14d01c2745d4f60a9596ae66800e2b61fa45643e72436041855ad4089d":
             # ref: https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct
             res = "smaug-bpe"
+        if chkhsh == "c7ea5862a53e4272c035c8238367063e2b270d51faa48c0f09e9d5b54746c360":
+            # ref: https://huggingface.co/LumiOpen/Poro-34B-chat
+            res = "poro-chat"
         if chkhsh == "7967bfa498ade6b757b064f31e964dddbb80f8f9a4d68d4ba7998fcf281c531a":
             # ref: https://huggingface.co/jinaai/jina-embeddings-v2-base-code
             res = "jina-v2-code"
diff --git a/llama.cpp b/llama.cpp
index 225ea977f..7f8c259a8 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -4713,6 +4713,9 @@ static void llm_load_vocab(
             } else if (
                 tokenizer_pre == "smaug-bpe") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_SMAUG;
+            } else if (
+                tokenizer_pre == "poro-chat") {
+                vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_PORO;
             } else {
                 throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
             }
@@ -13028,6 +13031,11 @@ struct llm_tokenizer_bpe {
                             "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
                         });
                         break;
+                    case LLAMA_VOCAB_PRE_TYPE_PORO:
+                        word_collection = unicode_regex_split(text, {
+                            " ?[^(\\s|.,!?…。，、।۔،)]+",
+                        });
+                        break;
                     default:
                         // default regex for BPE tokenization pre-processing
                         word_collection = unicode_regex_split(text, {
diff --git a/llama.h b/llama.h
index 62908261f..da310ffaf 100644
--- a/llama.h
+++ b/llama.h
@@ -86,6 +86,7 @@ extern "C" {
         LLAMA_VOCAB_PRE_TYPE_OLMO           = 12,
         LLAMA_VOCAB_PRE_TYPE_DBRX           = 13,
         LLAMA_VOCAB_PRE_TYPE_SMAUG          = 14,
+        LLAMA_VOCAB_PRE_TYPE_PORO           = 15,
     };
 
     // note: these values should be synchronized with ggml_rope

From 6fcd1331efbfbb89c8c96eba2321bb7b4d0c40e4 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= <sigbjorn.skjaeret@scala.com>
Date: Fri, 14 Jun 2024 12:20:04 +0200
Subject: [PATCH 069/131] llama : more checks before assuming FIM tokens
 (#7644)

* More checks before assuming FIM tokens for Llama arch

* extensive token check
---
 llama.cpp | 68 +++++++++++++++++++++++++++++++------------------------
 1 file changed, 39 insertions(+), 29 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index 7f8c259a8..05591aa43 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -4561,35 +4561,6 @@ static void llm_load_vocab(
             vocab.special_cls_id  = -1;
             vocab.special_mask_id = -1;
 
-            // For Fill-In-the-Middle (FIM)/infill models which where converted
-            // prior to support of FIM special tokens in GGUF, the following
-            // will allow those models to continue to work. The general names
-            // of the known models are currently CodeLlama (LLM_ARCH_LLAMA) and
-            // CodeGemma (LLM_ARCH_GEMMA). This can potentially be removed once
-            // new versions of these models have been published.
-            std::string gen_name;
-            ml.get_key(LLM_KV_GENERAL_NAME, gen_name, false);
-
-            std::transform(gen_name.begin(), gen_name.end(), gen_name.begin(),
-                [](unsigned char c){ return std::tolower(c); });
-
-            if (gen_name.find("code") != std::string::npos) {
-                if (model.arch == LLM_ARCH_LLAMA) {
-                    vocab.special_prefix_id = 32007;
-                    vocab.special_suffix_id = 32008;
-                    vocab.special_middle_id = 32009;
-                    vocab.special_eot_id    = 32010;
-                } else if (model.arch == LLM_ARCH_GEMMA) {
-                    vocab.special_prefix_id = 67;
-                    vocab.special_suffix_id = 69;
-                    vocab.special_middle_id = 68;
-                    // TODO: this is not EOT, it is "file separator" token, needs fix
-                    //       https://huggingface.co/google/codegemma-7b-it/blob/9b1d9231388358c04d90bd003458f5070d97db44/tokenizer_config.json#L565-L572
-                    //vocab.special_eot_id    = 70;
-                    vocab.special_eot_id    = 107;
-                }
-            }
-
             const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
             if (add_space_prefix_keyidx != -1) {
                 vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
@@ -4773,6 +4744,45 @@ static void llm_load_vocab(
 
     // determine the newline token: LLaMA "<0x0A>" == 10 == '\n', Falcon 193 == '\n'
     if (vocab.type == LLAMA_VOCAB_TYPE_SPM) {
+        // For Fill-In-the-Middle (FIM)/infill models which where converted
+        // prior to support of FIM special tokens in GGUF, the following
+        // will allow those models to continue to work. The general names
+        // of the known models are currently CodeLlama (LLM_ARCH_LLAMA) and
+        // CodeGemma (LLM_ARCH_GEMMA). This can potentially be removed once
+        // new versions of these models have been published.
+        std::string gen_name;
+        ml.get_key(LLM_KV_GENERAL_NAME, gen_name, false);
+
+        std::transform(gen_name.begin(), gen_name.end(), gen_name.begin(),
+            [](unsigned char c){ return std::tolower(c); });
+
+        if (gen_name.find("code") != std::string::npos) {
+            if (model.arch == LLM_ARCH_LLAMA
+              && 32010 < vocab.id_to_token.size()
+              && vocab.id_to_token[32007].text == "<PRE>"
+              && vocab.id_to_token[32008].text == "<SUF>"
+              && vocab.id_to_token[32009].text == "<MID>"
+              && vocab.id_to_token[32010].text == "<EOT>") {
+                vocab.special_prefix_id = 32007;
+                vocab.special_suffix_id = 32008;
+                vocab.special_middle_id = 32009;
+                vocab.special_eot_id    = 32010;
+            } else if (model.arch == LLM_ARCH_GEMMA
+              && 107 < vocab.id_to_token.size()
+              && vocab.id_to_token[67].text == "<|fim_prefix|>"
+              && vocab.id_to_token[69].text == "<|fim_suffix|>"
+              && vocab.id_to_token[68].text == "<|fim_middle|>"
+              && vocab.id_to_token[107].text == "<end_of_turn>") {
+                vocab.special_prefix_id = 67;
+                vocab.special_suffix_id = 69;
+                vocab.special_middle_id = 68;
+                // TODO: this is not EOT, it is "file separator" token, needs fix
+                //       https://huggingface.co/google/codegemma-7b-it/blob/9b1d9231388358c04d90bd003458f5070d97db44/tokenizer_config.json#L565-L572
+                //vocab.special_eot_id    = 70;
+                vocab.special_eot_id    = 107;
+            }
+        }
+
         try {
             vocab.linefeed_id = llama_byte_to_token(vocab, '\n');
         } catch (const std::exception & e) {

From e65bbf606c61f49dc06c7ac060cd5ba7ae446025 Mon Sep 17 00:00:00 2001
From: Radoslav Gerganov <rgerganov@gmail.com>
Date: Fri, 14 Jun 2024 16:47:41 +0300
Subject: [PATCH 070/131] llama-bench : fix RPC indication (#7936)

Show "<backend_name>+RPC" when RPC offloading is used
---
 examples/llama-bench/llama-bench.cpp | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/examples/llama-bench/llama-bench.cpp b/examples/llama-bench/llama-bench.cpp
index 61dd1d71a..d641a9f12 100644
--- a/examples/llama-bench/llama-bench.cpp
+++ b/examples/llama-bench/llama-bench.cpp
@@ -714,7 +714,6 @@ struct test {
     static const bool kompute;
     static const bool metal;
     static const bool sycl;
-    static const bool rpc;
     static const bool gpu_blas;
     static const bool blas;
     static const std::string cpu_info;
@@ -726,6 +725,7 @@ struct test {
     int n_batch;
     int n_ubatch;
     int n_threads;
+    bool has_rpc;
     ggml_type type_k;
     ggml_type type_v;
     int n_gpu_layers;
@@ -751,6 +751,7 @@ struct test {
         n_batch = inst.n_batch;
         n_ubatch = inst.n_ubatch;
         n_threads = inst.n_threads;
+        has_rpc = !inst.rpc_servers.empty();
         type_k = inst.type_k;
         type_v = inst.type_v;
         n_gpu_layers = inst.n_gpu_layers;
@@ -810,9 +811,6 @@ struct test {
         if (sycl) {
             return GGML_SYCL_NAME;
         }
-        if (rpc) {
-            return "RPC";
-        }
         if (gpu_blas) {
             return "GPU BLAS";
         }
@@ -882,7 +880,7 @@ struct test {
         std::vector<std::string> values = {
             build_commit, std::to_string(build_number),
             std::to_string(cuda), std::to_string(vulkan), std::to_string(vulkan),
-            std::to_string(metal), std::to_string(sycl), std::to_string(rpc), std::to_string(gpu_blas), std::to_string(blas),
+            std::to_string(metal), std::to_string(sycl), std::to_string(has_rpc), std::to_string(gpu_blas), std::to_string(blas),
             cpu_info, gpu_info,
             model_filename, model_type, std::to_string(model_size), std::to_string(model_n_params),
             std::to_string(n_batch), std::to_string(n_ubatch),
@@ -916,7 +914,6 @@ const bool        test::metal        = !!ggml_cpu_has_metal();
 const bool        test::gpu_blas     = !!ggml_cpu_has_gpublas();
 const bool        test::blas         = !!ggml_cpu_has_blas();
 const bool        test::sycl         = !!ggml_cpu_has_sycl();
-const bool        test::rpc          = !!ggml_cpu_has_rpc();
 const std::string test::cpu_info     = get_cpu_info();
 const std::string test::gpu_info     = get_gpu_info();
 
@@ -1182,6 +1179,9 @@ struct markdown_printer : public printer {
                 value = buf;
             } else if (field == "backend") {
                 value = test::get_backend();
+                if (t.has_rpc) {
+                    value += "+RPC";
+                }
             } else if (field == "test") {
                 if (t.n_prompt > 0 && t.n_gen == 0) {
                     snprintf(buf, sizeof(buf), "pp%d", t.n_prompt);

From 66ef1ceedf983773c8ceb4d925285d41d4e50e2a Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Fri, 14 Jun 2024 17:14:09 +0300
Subject: [PATCH 071/131] metal : utilize max shared memory for mul_mat_id
 (#7935)

---
 ggml-metal.m | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/ggml-metal.m b/ggml-metal.m
index ec9e95302..f894274ca 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -1862,9 +1862,10 @@ static enum ggml_status ggml_metal_graph_compute(
                         // ne21 = n_rows
                         const int dst_rows = ne20*ne21;
                         const int dst_rows_min = n_as;
+                        const int dst_rows_max = (ctx->device.maxThreadgroupMemoryLength - 32 - 8192)/4;
 
                         // max size of the rowids array in the kernel shared buffer
-                        GGML_ASSERT(dst_rows <= 2048);
+                        GGML_ASSERT(dst_rows <= dst_rows_max);
 
                         // for now the matrix-matrix multiplication kernel only works on A14+/M1+ SoCs
                         // AMD GPU and older A-chips will reuse matrix-vector multiplication kernel

From 76d66ee0be91e2bec93206e821ee1db8d023cff5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Fri, 14 Jun 2024 18:41:49 +0200
Subject: [PATCH 072/131] CUDA: faster q2_K, q3_K MMQ + int8 tensor cores
 (#7921)

* CUDA: faster q2_K, q3_K MMQ + int8 tensor cores

* try CI fix

* try CI fix

* try CI fix

* fix data race

* rever q2_K precision related changes
---
 ggml-cuda.cu          |   6 +-
 ggml-cuda/argsort.cu  |   1 +
 ggml-cuda/common.cuh  |   5 +
 ggml-cuda/mmq.cuh     | 750 +++++++++++++++++++++++++-----------------
 ggml-cuda/softmax.cu  |   1 +
 ggml-cuda/vecdotq.cuh |  35 +-
 6 files changed, 468 insertions(+), 330 deletions(-)

diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index 64d3b6747..593fa4cda 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -188,13 +188,15 @@ static ggml_cuda_device_info ggml_cuda_init() {
         info.default_tensor_split[id] = total_vram;
         total_vram += prop.totalGlobalMem;
 
+        info.devices[id].nsm   = prop.multiProcessorCount;
+        info.devices[id].smpb  = prop.sharedMemPerBlock;
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+        info.devices[id].smpbo = prop.sharedMemPerBlock;
         info.devices[id].cc = 100*prop.major + 10*prop.minor + CC_OFFSET_AMD;
 #else
+        info.devices[id].smpbo = prop.sharedMemPerBlockOptin;
         info.devices[id].cc = 100*prop.major + 10*prop.minor;
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-        info.devices[id].smpb = prop.sharedMemPerBlock;
-        info.devices[id].nsm  = prop.multiProcessorCount;
     }
 
     for (int id = 0; id < info.device_count; ++id) {
diff --git a/ggml-cuda/argsort.cu b/ggml-cuda/argsort.cu
index 164144061..15757ca18 100644
--- a/ggml-cuda/argsort.cu
+++ b/ggml-cuda/argsort.cu
@@ -73,6 +73,7 @@ static void argsort_f32_i32_cuda(const float * x, int * dst, const int ncols, co
     const dim3 block_nums(1, nrows, 1);
     const size_t shared_mem = ncols_pad * sizeof(int);
 
+    // FIXME: this limit could be raised by ~2-4x on Ampere or newer
     GGML_ASSERT(shared_mem <= ggml_cuda_info().devices[ggml_cuda_get_device()].smpb);
 
     if (order == GGML_SORT_ORDER_ASC) {
diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh
index 7f4764d60..de7c2e434 100644
--- a/ggml-cuda/common.cuh
+++ b/ggml-cuda/common.cuh
@@ -331,6 +331,10 @@ static __device__ __forceinline__ half2 __shfl_xor(half2 var, int laneMask, int
 #define FP16_AVAILABLE
 #endif // (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ >= CC_PASCAL
 
+#if defined(FP16_AVAILABLE) && __CUDA_ARCH__ != 610
+#define FAST_FP16_AVAILABLE
+#endif // defined(FP16_AVAILABLE) && __CUDA_ARCH__ != 610
+
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_VOLTA
 #define FP16_MMA_AVAILABLE
 #endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) && __CUDA_ARCH__ >= CC_VOLTA
@@ -661,6 +665,7 @@ struct ggml_cuda_device_info {
         int     cc;                 // compute capability
         int     nsm;                // number of streaming multiprocessors
         size_t  smpb;               // max. shared memory per block
+        size_t  smpbo;              // max. shared memory per block (with opt-in)
         bool    vmm;                // virtual memory support
         size_t  vmm_granularity;    // granularity of virtual memory
         size_t  total_vram;
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 01e2086b4..6d57974fb 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -10,10 +10,10 @@
 #define MMQ_TILE_Y_K (WARP_SIZE + WARP_SIZE/QI8_1)
 
 typedef void (*load_tiles_mmq_t)(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride);
 typedef void (*vec_dot_mmq_t)(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0);
 typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1);
 
@@ -25,9 +25,8 @@ static_assert(sizeof(block_q8_1_mmq) == 4*QK8_1 + 4*sizeof(half2), "Unexpected b
 static_assert(sizeof(block_q8_1_mmq) == 4*sizeof(block_q8_1),      "Unexpected block_q8_1_mmq size");
 
 struct tile_x_sizes {
-    int ql;
+    int qs;
     int dm;
-    int qh;
     int sc;
 };
 
@@ -67,16 +66,16 @@ static constexpr __device__ int get_mmq_y_device(int /*mmq_x*/) {
 #endif // __CUDA_ARCH__ >= CC_VOLTA
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 
-#define TILE_X_SIZES_Q4_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_0 + mmq_y/QI4_0, 0,                           0}
-#define TILE_X_SIZES_Q4_1 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_1 + mmq_y/QI4_1, 0,                           0}
-#define TILE_X_SIZES_Q5_0 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_0 + mmq_y/QI5_0, 0,                           0}
-#define TILE_X_SIZES_Q5_1 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_1 + mmq_y/QI5_1, 0,                           0}
-#define TILE_X_SIZES_Q8_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI8_0 + mmq_y/QI8_0, 0,                           0}
-#define TILE_X_SIZES_Q2_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI2_K + mmq_y/QI2_K, 0,                           mmq_y*WARP_SIZE/4 + mmq_y/4}
-#define TILE_X_SIZES_Q3_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI3_K + mmq_y/QI3_K, mmq_y*WARP_SIZE/2 + mmq_y/2, mmq_y*WARP_SIZE/4 + mmq_y/4}
-#define TILE_X_SIZES_Q4_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_K + mmq_y/QI4_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
-#define TILE_X_SIZES_Q5_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_K + mmq_y/QI5_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
-#define TILE_X_SIZES_Q6_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI6_K + mmq_y/QI6_K, 0,                           mmq_y*WARP_SIZE/8 + mmq_y/8}
+#define TILE_X_SIZES_Q4_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_0 + mmq_y/QI4_0, 0}
+#define TILE_X_SIZES_Q4_1 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_1 + mmq_y/QI4_1, 0}
+#define TILE_X_SIZES_Q5_0 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_0 + mmq_y/QI5_0, 0}
+#define TILE_X_SIZES_Q5_1 tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_1 + mmq_y/QI5_1, 0}
+#define TILE_X_SIZES_Q8_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI8_0 + mmq_y/QI8_0, 0}
+#define TILE_X_SIZES_Q2_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE       + mmq_y,       0}
+#define TILE_X_SIZES_Q3_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI3_K + mmq_y/QI3_K, mmq_y*WARP_SIZE/4 + mmq_y/4}
+#define TILE_X_SIZES_Q4_K tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_K + mmq_y/QI4_K, mmq_y*WARP_SIZE/8 + mmq_y/8}
+#define TILE_X_SIZES_Q5_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI5_K + mmq_y/QI5_K, mmq_y*WARP_SIZE/8 + mmq_y/8}
+#define TILE_X_SIZES_Q6_K tile_x_sizes{mmq_y*WARP_SIZE*2 + mmq_y, mmq_y*WARP_SIZE/QI6_K + mmq_y/QI6_K, mmq_y*WARP_SIZE/8 + mmq_y/8}
 
 #define GET_TILE_X_SIZES_BODY                           \
     return type == GGML_TYPE_Q4_0 ? TILE_X_SIZES_Q4_0 : \
@@ -89,7 +88,7 @@ static constexpr __device__ int get_mmq_y_device(int /*mmq_x*/) {
         type == GGML_TYPE_Q4_K ? TILE_X_SIZES_Q4_K :    \
         type == GGML_TYPE_Q5_K ? TILE_X_SIZES_Q5_K :    \
         type == GGML_TYPE_Q6_K ? TILE_X_SIZES_Q6_K :    \
-        tile_x_sizes{0, 0, 0, 0}
+        tile_x_sizes{0, 0, 0}
 
 static tile_x_sizes get_tile_x_sizes_host(const ggml_type type, const int mmq_y) {
     GET_TILE_X_SIZES_BODY;
@@ -103,9 +102,9 @@ static constexpr __device__ tile_x_sizes get_tile_x_sizes_device(ggml_type type)
 // ------------------------------------------------------------
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_0(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int kbx  = threadIdx.x / QI4_0;
     const int kqsx = threadIdx.x % QI4_0;
@@ -122,7 +121,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q4_0 * bxi = (const block_q4_0 *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8(bxi->qs, kqsx);
+        x_qs[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8(bxi->qs, kqsx);
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
@@ -144,10 +143,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const float * x_df = (const float *) x_dm;
     const int   * y_qs = (const int   *) y + 4;
@@ -172,7 +170,7 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
-                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_df[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
+                (&x_qs[i*(WARP_SIZE + 1) + k0], u, x_df[i*(WARP_SIZE/QI4_0) + i/QI4_0 + k0/QI4_0],
                 y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
@@ -180,10 +178,10 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
+    GGML_UNUSED(x_sc);
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -205,7 +203,7 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mma(
         const int k     = k0 + mma_A::get_k(l) % QI4_0;
         const int shift =   4*(mma_A::get_k(l) / QI4_0);
 
-        A.x[l] = __vsubss4((x_ql[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F, 0x08080808);
+        A.x[l] = __vsubss4((x_qs[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F, 0x08080808);
     }
 #pragma unroll
     for (int l = 0; l < mma_C::ne/2; ++l) {
@@ -240,12 +238,16 @@ static __device__ __forceinline__ void vec_dot_q4_0_q8_1_mma(
             sum[(j0/B.J)*C.ne + l] += dA[l/2]*__low2float(dsB[l%2])*C.x[l];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_1(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int kbx  = threadIdx.x / QI4_1;
     const int kqsx = threadIdx.x % QI4_1;
@@ -260,7 +262,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q4_1 * bxi = (const block_q4_1 *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        x_qs[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI4_1;
@@ -282,10 +284,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int   * y_qs = (const int   *) y + 4;
     const half2 * y_ds = (const half2 *) y;
@@ -309,7 +310,7 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
-                (&x_ql[i*(WARP_SIZE + 1) + k0], u, x_dm[i*(WARP_SIZE/QI4_1) + i/QI4_1 + k0/QI4_1],
+                (&x_qs[i*(WARP_SIZE + 1) + k0], u, x_dm[i*(WARP_SIZE/QI4_1) + i/QI4_1 + k0/QI4_1],
                 y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
@@ -317,10 +318,10 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
+    GGML_UNUSED(x_sc);
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -341,7 +342,7 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mma(
         const int k     = k0 + mma_A::get_k(l) % QI4_0;
         const int shift =   4*(mma_A::get_k(l) / QI4_0);
 
-        A.x[l] = (x_ql[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F;
+        A.x[l] = (x_qs[i*(WARP_SIZE + 1) + k] >> shift) & 0x0F0F0F0F;
     }
 #pragma unroll
     for (int l = 0; l < mma_C::ne/2; ++l) {
@@ -377,12 +378,16 @@ static __device__ __forceinline__ void vec_dot_q4_1_q8_1_mma(
             sum[(j0/B.J)*C.ne + l] += __low2float(dmA_dsB)*C.x[l] + __high2float(dmA_dsB);
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_0(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int kbx  = threadIdx.x / QI5_0;
     const int kqsx = threadIdx.x % QI5_0;
@@ -407,7 +412,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
         qs0     = __vsubss4(qs0, 0x10101010); // subtract 16
 
-        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
+        x_qs[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
 
         int qs1 = (ql >>  4)   & 0x0F0F0F0F;
         qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
@@ -416,7 +421,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
         qs1     = __vsubss4(qs1, 0x10101010); // subtract 16
 
-        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
+        x_qs[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
@@ -439,10 +444,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_0_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const float * x_dmf = (const float *) x_dm;
     const int   * y_qs  = (const int   *) y + 4;
@@ -468,17 +472,17 @@ static __device__ __forceinline__ void vec_dot_q5_0_q8_1_dp4a(
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, QR5_0*VDR_Q5_0_Q8_1_MMQ>
-                (&x_ql[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dmf[index_bx], y_df[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_qs[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dmf[index_bx], y_df[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
+    GGML_UNUSED(x_sc);
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -499,7 +503,7 @@ static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mma(
         const int i     =    i0 + mma_A::get_i(l);
         const int k     = 2*(k0 + mma_A::get_k(l) % QI5_0) + mma_A::get_k(l) / QI5_0;
 
-        A.x[l] = x_ql[i*(2*WARP_SIZE + 1) + k];
+        A.x[l] = x_qs[i*(2*WARP_SIZE + 1) + k];
     }
 #pragma unroll
     for (int l = 0; l < mma_C::ne/2; ++l) {
@@ -534,12 +538,16 @@ static __device__ __forceinline__ void vec_dot_q5_0_q8_1_mma(
             sum[(j0/B.J)*C.ne + l] += dA[l/2]*dB[l%2]*C.x[l];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_1(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int kbx  = threadIdx.x / QI5_1;
     const int kqsx = threadIdx.x % QI5_1;
@@ -563,7 +571,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
         qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
 
-        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
+        x_qs[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+0] = qs0;
 
         int qs1 = (ql >>  4) & 0x0F0F0F0F;
         qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
@@ -571,7 +579,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
         qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
 
-        x_ql[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
+        x_qs[i * (2*WARP_SIZE + 1) + 2*threadIdx.x+1] = qs1;
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
@@ -593,10 +601,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_1_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int   * y_qs  = (const int   *) y + 4;
     const half2 * y_ds  = (const half2 *) y;
@@ -621,17 +628,17 @@ static __device__ __forceinline__ void vec_dot_q5_1_q8_1_dp4a(
             }
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
-                (&x_ql[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dm[index_bx], y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
+                (&x_qs[i*(2*WARP_SIZE + 1) + 2*k0], u, x_dm[index_bx], y_ds[j*MMQ_TILE_Y_K + (2*k0/QI8_1) % (WARP_SIZE/QI8_1)]);
         }
     }
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
+    GGML_UNUSED(x_sc);
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -651,7 +658,7 @@ static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mma(
         const int i     =    i0 + mma_A::get_i(l);
         const int k     = 2*(k0 + mma_A::get_k(l) % QI5_1) + mma_A::get_k(l) / QI5_1;
 
-        A.x[l] = x_ql[i*(2*WARP_SIZE + 1) + k];
+        A.x[l] = x_qs[i*(2*WARP_SIZE + 1) + k];
     }
 #pragma unroll
     for (int l = 0; l < mma_C::ne/2; ++l) {
@@ -687,13 +694,16 @@ static __device__ __forceinline__ void vec_dot_q5_1_q8_1_mma(
             sum[(j0/B.J)*C.ne + l] += __low2float(dmA_dsB)*C.x[l] + __high2float(dmA_dsB);
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q8_0(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const int kbx  = threadIdx.x / QI8_0;
     const int kqsx = threadIdx.x % QI8_0;
@@ -709,7 +719,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q8_0 * bxi = (const block_q8_0 *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_int8(bxi->qs, kqsx);
+        x_qs[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_int8(bxi->qs, kqsx);
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
@@ -731,10 +741,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q8_0_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+    GGML_UNUSED(x_sc);
 
     const float * x_dmf = (const float *) x_dm;
     const int   * y_qs  = (const int   *) y + 4;
@@ -749,7 +758,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_dp4a(
             const int i = i0 + threadIdx.x;
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q8_0_q8_1_impl<float, VDR_Q8_0_Q8_1_MMQ>
-                (&x_ql[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + k0], x_dmf[i*(WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0],
+                (&x_qs[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + k0], x_dmf[i*(WARP_SIZE/QI8_0) + i/QI8_0 + k0/QI8_0],
                 y_df[j*MMQ_TILE_Y_K + k0/QI8_1]);
         }
     }
@@ -757,10 +766,10 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
+    GGML_UNUSED(x_sc);
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -781,7 +790,7 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
         const int i = i0 + mma_A::get_i(l);
         const int k = k0 + mma_A::get_k(l);
 
-        A.x[l] = x_ql[i*(WARP_SIZE + 1) + k];
+        A.x[l] = x_qs[i*(WARP_SIZE + 1) + k];
     }
 #pragma unroll
     for (int l = 0; l < mma_C::ne/2; ++l) {
@@ -816,12 +825,15 @@ static __device__ __forceinline__ void vec_dot_q8_0_q8_1_mma(
             sum[(j0/B.J)*C.ne + l] += C.x[l]*dA[l/2]*dB[l%2];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q2_K(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh);
 
     const int kbx  = threadIdx.x / QI2_K;
     const int kqsx = threadIdx.x % QI2_K;
@@ -836,48 +848,42 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI2_K;
-    const int kbxd = threadIdx.x % blocks_per_tile_x_row;
+        const int x_ql_0 = get_int_from_uint8(bxi->qs, kqsx);
 
 #pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) {
-        int i = (i0 + threadIdx.y * QI2_K + threadIdx.x / blocks_per_tile_x_row) % mmq_y;
+        for (int l = 0; l < QR2_K; ++l) {
+            const int k = kbx*QI2_K + (kqsx/8)*8 + l*2 + (kqsx % 8)/4;
 
-        if (need_check) {
-            i = min(i, i_max);
+            int x_qs_k = ((x_ql_0 >> (2*l)) & 0x03030303) << (2*(kqsx % 4));
+            x_qs_k |= __shfl_xor_sync(0xFFFFFFFF, x_qs_k, 1, WARP_SIZE);
+            x_qs_k |= __shfl_xor_sync(0xFFFFFFFF, x_qs_k, 2, WARP_SIZE);
+
+            if (kqsx % QR2_K != 0) {
+                continue;
+            }
+
+            x_qs[i*(WARP_SIZE + 1) + k] = x_qs_k;
         }
 
-        const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + kbxd;
+        const int sc_m = bxi->scales[kqsx];
+#ifdef FAST_FP16_AVAILABLE
+        const half2 x_dm_ik = __hmul2(bxi->dm, make_half2(sc_m & 0x0F, sc_m >> 4));
+#else
+        const float2 bxi_dmf = __half22float2(bxi->dm);
+        const half2 x_dm_ik = make_half2(bxi_dmf.x*(sc_m & 0x0F), bxi_dmf.y*(sc_m >> 4));
+#endif // FAST_FP16_AVAILABLE
 
-        x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
-        int i = i0 + threadIdx.y * 4 + threadIdx.x / (WARP_SIZE/4);
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q2_K * bxi = (const block_q2_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/4)) / (QI2_K/4);
-
-        x_sc[i * (WARP_SIZE/4) + i / 4 + threadIdx.x % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, threadIdx.x % (QI2_K/4));
+        x_dm[i*(WARP_SIZE + 1) + threadIdx.x] = x_dm_ik;
     }
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+static __device__ __forceinline__ void vec_dot_q2_K_q8_1_dp4a(
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
-    GGML_UNUSED(x_qh);
-
-    const int   * y_qs  = (const int   *) y + 4;
-    const float * y_df  = (const float *) y;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -887,30 +893,99 @@ static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mul_mat(
         for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
             const int i = i0 + threadIdx.x;
 
-            const int kbx = k0 / QI2_K;
-            const int ky  = (k0 % QI2_K) * QR2_K;
-
-            int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
-
-            const int kqsx = i*(WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
-            const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
-
-#pragma unroll
-            for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) {
-                v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
-            }
-
-            const uint8_t * scales = ((const uint8_t *) &x_sc[i*(WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
-
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q2_K_q8_1_impl_mmq(
-                v, &y_qs[j*MMQ_TILE_Y_K + (QR2_K*k0) % WARP_SIZE], scales,
-                x_dm[i*(WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[j*MMQ_TILE_Y_K + ((QR2_K*k0) % WARP_SIZE)/QI8_1]);
+                &x_qs[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + (QR2_K*k0) % WARP_SIZE],
+                &x_dm[i*(WARP_SIZE + 1) + k0], y_df[j*MMQ_TILE_Y_K + ((QR2_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q2_K_q8_1_mma(
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+#ifdef INT8_MMA_AVAILABLE
+
+    typedef mma_int_A_I16K4 mma_A;
+    typedef mma_int_B_J8K4  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+    mma_A   A[2];
+    float  dA[mma_C::ne/2][2];
+    float  mA[mma_C::ne/2][2];
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i = i0 + mma_A::get_i(l);
+        const int shift = 2*mma_A::get_k(l);
+
+        A[0].x[l] = (x_qs[i*(WARP_SIZE + 1) + k0 + 0] >> shift) & 0x03030303;
+        A[1].x[l] = (x_qs[i*(WARP_SIZE + 1) + k0 + 1] >> shift) & 0x03030303;
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+#pragma unroll
+        for (int kk = 0; kk < 2; ++kk) {
+            const float2 dm = __half22float2(x_dm[i*(WARP_SIZE + 1) + k0 + kk]);
+
+            dA[l][kk] = dm.x;
+            mA[l][kk] = dm.y;
+        }
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C Cd[2];
+        mma_C Cm[2];
+        mma_B B[2];
+        float dB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j = j0 + mma_B::get_j(l);
+            const int k = (4*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B[0].x[l] = y_qs[j*MMQ_TILE_Y_K + k + 0];
+            B[1].x[l] = y_qs[j*MMQ_TILE_Y_K + k + mma_B::K];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dB[l] = y_df[j*MMQ_TILE_Y_K + ((4*k0)/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        Cd[0].mma_K4(A[0], B[0]);
+        Cd[1].mma_K4(A[1], B[1]);
+
+        mma_A A1;
+        A1.x[0] = 0x01010101;
+        A1.x[1] = 0x01010101;
+        Cm[0].mma_K4(A1, B[0]);
+        Cm[1].mma_K4(A1, B[1]);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/mma_B::J)*mma_C::ne + l] += (Cd[0].x[l]*dA[l/2][0] + Cd[1].x[l]*dA[l/2][1] - Cm[0].x[l]*mA[l/2][0] - Cm[1].x[l]*mA[l/2][1])*dB[l%2];
+        }
+    }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q3_K(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
 
     const int kbx  = threadIdx.x / QI3_K;
@@ -926,7 +1001,25 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8(bxi->qs, kqsx);
+        const int x_ql_0 = get_int_from_uint8(bxi->qs,    kqsx);
+        const int x_qh_0 = get_int_from_uint8(bxi->hmask, kqsx % (QI3_K/2)) >> (4 * (kqsx / (QI3_K/2)));
+
+#pragma unroll
+        for (int l = 0; l < QR3_K; ++l) {
+            const int k = kbx*(QR3_K*QI3_K) + (kqsx/8)*32 + l*8 + kqsx % 8;
+
+            const int x_ql_k =  (x_ql_0 >> (2*l))       & 0x03030303;
+            const int x_qh_k = ((x_qh_0 >>    l)  << 2) & 0x04040404;
+
+            int x_qs_k = (x_ql_k | x_qh_k) << (4*(k%2));
+            x_qs_k |= __shfl_xor_sync(0xFFFFFFFF, x_qs_k, 1, WARP_SIZE);
+
+            if (kqsx % 2 != 0) {
+                continue;
+            }
+
+            x_qs[i*(2*WARP_SIZE + 1) + k/2] = x_qs_k;
+        }
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI3_K;
@@ -946,20 +1039,6 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d;
     }
 
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) {
-        int i = i0 + threadIdx.y * 2 + threadIdx.x / (WARP_SIZE/2);
-
-        if (need_check) {
-            i = min(i, i_max);
-        }
-
-        const block_q3_K * bxi = (const block_q3_K *) x + kbx0 + i*stride + (threadIdx.x % (WARP_SIZE/2)) / (QI3_K/2);
-
-        // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
-        x_qh[i * (WARP_SIZE/2) + i / 2 + threadIdx.x % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, threadIdx.x % (QI3_K/2));
-    }
-
 #pragma unroll
     for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
         int i = i0 + threadIdx.y * 4 + threadIdx.x / (WARP_SIZE/4);
@@ -987,13 +1066,13 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 }
 
 template <int mmq_x, int mmq_y, int nwarps>
-static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+static __device__ __forceinline__ void vec_dot_q3_K_q8_1_dp4a(
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
-    const float * x_dmf = (const float *) x_dm;
-    const int   * y_qs  = (const int   *) y + 4;
-    const float * y_df  = (const float *) y;
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
@@ -1008,31 +1087,102 @@ static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mul_mat(
 
             const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
 
-            int v[QR3_K*VDR_Q3_K_Q8_1_MMQ];
-
-#pragma unroll
-            for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
-                const int kqsx = i*(WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
-                const int shift = 2 * ((ky % 32) / 8);
-                const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
-
-                const int vh = x_qh[i*(WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
-                const int vlh = (vh << 2) & 0x04040404;
-
-                v[l] = __vsubss4(vll, vlh);
-            }
-
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q3_K_q8_1_impl_mmq(
-                v, &y_qs[j*MMQ_TILE_Y_K + (k0*QR3_K) % WARP_SIZE], scales,
-                x_dmf[i*(WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[j*MMQ_TILE_Y_K + ((k0*QR3_K) % WARP_SIZE)/QI8_1]);
+                &x_qs[i*(2*WARP_SIZE + 1) + 2*k0], &y_qs[j*MMQ_TILE_Y_K + (k0*QR3_K) % WARP_SIZE], scales,
+                x_df[i*(WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[j*MMQ_TILE_Y_K + ((k0*QR3_K) % WARP_SIZE)/QI8_1]);
         }
     }
 }
 
+template <int mmq_x, int mmq_y, int nwarps>
+static __device__ __forceinline__ void vec_dot_q3_K_q8_1_mma(
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
+    const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
+#ifdef INT8_MMA_AVAILABLE
+
+    typedef mma_int_A_I16K4 mma_A;
+    typedef mma_int_B_J8K4  mma_B;
+    typedef mma_int_C_I16J8 mma_C;
+
+    const float * x_df = (const float *) x_dm;
+    const int   * y_qs = (const int   *) y + 4;
+    const float * y_df = (const float *) y;
+
+    const int i0 = threadIdx.y*mma_A::I;
+    static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+
+    mma_A   A[2];
+    int   scA[mma_C::ne/2][2];
+    float  dA[mma_C::ne/2];
+
+#pragma unroll
+    for (int l = 0; l < mma_A::ne; ++l) {
+        const int i = i0 + mma_A::get_i(l);
+        const int k = QR3_K*k0 + mma_A::get_k(l);
+
+        A[0].x[l] = (x_qs[i*(2*WARP_SIZE + 1) + k/2 + 0]          >> (4*(k%2))) & 0x0F0F0F0F;
+        A[1].x[l] = (x_qs[i*(2*WARP_SIZE + 1) + k/2 + mma_A::K/2] >> (4*(k%2))) & 0x0F0F0F0F;
+        A[0].x[l] = __vsubss4(A[0].x[l], 0x04040404);
+        A[1].x[l] = __vsubss4(A[1].x[l], 0x04040404);
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        const int kbx  = k0 / QI3_K;
+        const int ky  = (k0 % QI3_K) * QR3_K;
+        const int8_t * sc = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
+
+        scA[l][0] = sc[0];
+        scA[l][1] = sc[1];
+    }
+
+#pragma unroll
+    for (int l = 0; l < mma_C::ne/2; ++l) {
+        const int i = i0 + mma_C::get_i(2*l);
+
+        dA[l] = x_df[i*(WARP_SIZE/QI3_K) + i/QI3_K + k0/QI3_K];
+    }
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += mma_int_B_J8K8::J) {
+        mma_C C[2];
+        mma_B B[2];
+        float dB[mma_C::ne/2];
+
+#pragma unroll
+        for (int l = 0; l < mma_B::ne; ++l) {
+            const int j = j0 + mma_B::get_j(l);
+            const int k = (4*k0 + mma_B::get_k(l)) % WARP_SIZE;
+
+            B[0].x[l] = y_qs[j*MMQ_TILE_Y_K + k + 0];
+            B[1].x[l] = y_qs[j*MMQ_TILE_Y_K + k + mma_B::K];
+        }
+#pragma unroll
+        for (int l = 0; l < mma_C::ne/2; ++l) {
+            const int j = j0 + mma_C::get_j(l);
+
+            dB[l] = y_df[j*MMQ_TILE_Y_K + ((4*k0)/QI8_1) % (WARP_SIZE/QI8_1)];
+        }
+
+        C[0].mma_K4(A[0], B[0]);
+        C[1].mma_K4(A[1], B[1]);
+
+#pragma unroll
+        for (int l = 0; l < mma_C::ne; ++l) {
+            sum[(j0/mma_B::J)*mma_C::ne + l] += (C[0].x[l]*scA[l/2][0] + C[1].x[l]*scA[l/2][1])*dA[l/2]*dB[l%2];
+        }
+    }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
+}
+
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q4_K(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh);
 
     const int kbx  = 0;           // threadIdx.x / QI4_K
     const int kqsx = threadIdx.x; // threadIdx.x % QI4_K
@@ -1047,7 +1197,7 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
         const block_q4_K * bxi = (const block_q4_K *) x + kbx0 + i*stride + kbx;
 
-        x_ql[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        x_qs[i * (WARP_SIZE + 1) + threadIdx.x] = get_int_from_uint8_aligned(bxi->qs, kqsx);
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI4_K;  // == 1 if QK_K == 256
@@ -1090,11 +1240,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_K_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
-    GGML_UNUSED(x_qh);
-
     const int   * y_qs = (const int   *) y + 4;
     const half2 * y_ds = (const half2 *) y;
 
@@ -1109,7 +1257,7 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_dp4a(
             const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2*((k0 % 16) / 8);
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q4_K_q8_1_impl_mmq(
-                &x_ql[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + (QR4_K*k0) % WARP_SIZE], sc, sc+8,
+                &x_qs[i*(WARP_SIZE + 1) + k0], &y_qs[j*MMQ_TILE_Y_K + (QR4_K*k0) % WARP_SIZE], sc, sc+8,
                 x_dm[i*(WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[j*MMQ_TILE_Y_K + ((QR4_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
@@ -1117,10 +1265,9 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -1143,7 +1290,7 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mma(
             const int i = i0 + mma_A::get_i(l);
             const int k = k0 + mma_A::get_k(l);
 
-            A[kvdr/4].x[l] = (x_ql[i*(WARP_SIZE + 1) + k] >> kvdr) & 0x0F0F0F0F;
+            A[kvdr/4].x[l] = (x_qs[i*(WARP_SIZE + 1) + k] >> kvdr) & 0x0F0F0F0F;
         }
 
 #pragma unroll
@@ -1204,12 +1351,15 @@ static __device__ __forceinline__ void vec_dot_q4_K_q8_1_mma(
             sum[(j0/mma_B::J)*mma_C::ne + l] += __low2float(dmA[l/2])*tmpd[l] - __high2float(dmA[l/2])*tmpm[l];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q5_K(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh);
 
     const int kbx  = 0;           // threadIdx.x / QI5_K
     const int kqsx = threadIdx.x; // threadIdx.x % QI5_K
@@ -1236,8 +1386,8 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         const int kq0 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + 0;
         const int kq1 = ky - ky % (QI5_K/2) + threadIdx.x % (QI5_K/4) + (QI5_K/4);
 
-        x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
-        x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
+        x_qs[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
+        x_qs[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI5_K;  // == 1 if QK_K == 256
@@ -1280,11 +1430,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_K_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
-    GGML_UNUSED(x_qh);
-
     const int   * y_qs  = (const int   *) y + 4;
     const half2 * y_ds  = (const half2 *) y;
 
@@ -1299,7 +1447,7 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_dp4a(
             const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/16]) + 2 * ((k0 % 16) / 8);
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q5_K_q8_1_impl_mmq(
-                &x_ql[i*(QR5_K*WARP_SIZE + 1) + QR5_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR5_K*k0) % WARP_SIZE], sc, sc+8,
+                &x_qs[i*(QR5_K*WARP_SIZE + 1) + QR5_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR5_K*k0) % WARP_SIZE], sc, sc+8,
                 x_dm[i*(WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[j*MMQ_TILE_Y_K + ((QR5_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
@@ -1307,10 +1455,9 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
 
     typedef mma_int_A_I16K8 mma_A;
     typedef mma_int_B_J8K8  mma_B;
@@ -1333,7 +1480,7 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mma(
             const int i = i0 + mma_A::get_i(l);
             const int k = QR5_K*k0 + QR5_K*kvdr + mma_A::get_k(l);
 
-            A[kvdr/4].x[l] = x_ql[i*(QR5_K*WARP_SIZE + 1) + k];
+            A[kvdr/4].x[l] = x_qs[i*(QR5_K*WARP_SIZE + 1) + k];
         }
 
 #pragma unroll
@@ -1394,12 +1541,15 @@ static __device__ __forceinline__ void vec_dot_q5_K_q8_1_mma(
             sum[(j0/mma_B::J)*mma_C::ne + l] += __low2float(dmA[l/2])*tmpd[l] - __high2float(dmA[l/2])*tmpm[l];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinline__ void load_tiles_q6_K(
-    const char * __restrict__ x, int * __restrict__ x_ql, half2 * __restrict__ x_dm, int * __restrict__ x_qh,
+    const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
     int * __restrict__ x_sc, const int & kbx0, const int & i_max, const int & stride) {
-    GGML_UNUSED(x_qh);
 
     const int kbx  = 0;           // threadIdx.x / QI6_K
     const int kqsx = threadIdx.x; // threadIdx.x % QI6_K
@@ -1426,8 +1576,8 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
         const int kq0 = ky - ky % QI6_K + threadIdx.x % (QI6_K/2) + 0;
         const int kq1 = ky - ky % QI6_K + threadIdx.x % (QI6_K/2) + (QI6_K/2);
 
-        x_ql[i * (2*WARP_SIZE + 1) + kq0] = __vsubss4(ql0 | qh0, 0x20202020);
-        x_ql[i * (2*WARP_SIZE + 1) + kq1] = __vsubss4(ql1 | qh1, 0x20202020);
+        x_qs[i * (2*WARP_SIZE + 1) + kq0] = __vsubss4(ql0 | qh0, 0x20202020);
+        x_qs[i * (2*WARP_SIZE + 1) + kq1] = __vsubss4(ql1 | qh1, 0x20202020);
     }
 
     const int blocks_per_tile_x_row = WARP_SIZE / QI6_K;  // == 1 if QK_K == 256
@@ -1463,11 +1613,9 @@ template <int mmq_y, int nwarps, bool need_check> static __device__ __forceinlin
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
 
-    GGML_UNUSED(x_qh);
-
     const float * x_dmf = (const float *) x_dm;
     const int   * y_qs  = (const int   *) y + 4;
     const float * y_df  = (const float *) y;
@@ -1483,7 +1631,7 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
             const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k0/8]);
 
             sum[j0/nwarps*mmq_y/WARP_SIZE + i0/WARP_SIZE] += vec_dot_q6_K_q8_1_impl_mmq(
-                &x_ql[i*(QR6_K*WARP_SIZE + 1) + QR6_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR6_K*k0) % WARP_SIZE], sc,
+                &x_qs[i*(QR6_K*WARP_SIZE + 1) + QR6_K*k0], &y_qs[j*MMQ_TILE_Y_K + (QR6_K*k0) % WARP_SIZE], sc,
                 x_dmf[i*(WARP_SIZE/QI6_K) + i/QI6_K], &y_df[j*MMQ_TILE_Y_K + ((QR6_K*k0) % WARP_SIZE)/QI8_1]);
         }
     }
@@ -1491,10 +1639,9 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_dp4a(
 
 template <int mmq_x, int mmq_y, int nwarps>
 static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
-    const int * __restrict__ x_ql, const half2 * __restrict__ x_dm, const int * __restrict__ x_qh, const int * __restrict__ x_sc,
+    const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0) {
-
-    GGML_UNUSED(x_qh); GGML_UNUSED(x_sc);
+#ifdef INT8_MMA_AVAILABLE
 
     typedef mma_int_A_I16K4 mma_A;
     typedef mma_int_B_J8K4  mma_B;
@@ -1505,7 +1652,9 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
     const float * y_df = (const float *) y;
 
     const int i0 = threadIdx.y*mma_A::I;
+#ifdef INT8_MMA_AVAILABLE
     static_assert(nwarps*mma_A::I == mmq_y, "nwarps*mma_A::I != mmq_y");
+#endif // INT8_MMA_AVAILABLE
 
     mma_A   A[4];
     int   scA[mma_C::ne/2][4];
@@ -1517,8 +1666,8 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
             const int i = i0 + mma_A::get_i(l);
             const int k = QR6_K*k0 + QR6_K*kvdr + mma_A::get_k(l);
 
-            A[kvdr/2 + 0].x[l] = x_ql[i*(QR6_K*WARP_SIZE + 1) + k + 0];
-            A[kvdr/2 + 1].x[l] = x_ql[i*(QR6_K*WARP_SIZE + 1) + k + mma_A::K];
+            A[kvdr/2 + 0].x[l] = x_qs[i*(QR6_K*WARP_SIZE + 1) + k + 0];
+            A[kvdr/2 + 1].x[l] = x_qs[i*(QR6_K*WARP_SIZE + 1) + k + mma_A::K];
         }
 
 #pragma unroll
@@ -1578,6 +1727,10 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
             sum[(j0/mma_B::J)*mma_C::ne + l] += tmp[l]*dA[l/2];
         }
     }
+#else
+    GGML_UNUSED(x_qs); GGML_UNUSED(x_dm); GGML_UNUSED(x_sc); GGML_UNUSED(y); GGML_UNUSED(sum); GGML_UNUSED(k0);
+    NO_DEVICE_CODE;
+#endif // INT8_MMA_AVAILABLE
 }
 
 template<int mmq_x, int mmq_y, int nwarps, bool need_check>
@@ -1608,7 +1761,9 @@ static __device__ __forceinline__ void mmq_write_back_mma(const float * __restri
     typedef mma_int_C_I16J8 mma_C;
 
     const int i0 = threadIdx.y*mma_C::I;
+#ifdef INT8_MMA_AVAILABLE
     static_assert(nwarps*mma_C::I == mmq_y, "nwarps*mma_C::I != mmq_y");
+#endif // INT8_MMA_AVAILABLE
 
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += mma_C::J) {
@@ -1638,125 +1793,85 @@ struct mmq_type_traits;
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_0> {
-    static constexpr int              vdr        = VDR_Q4_0_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_0<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q4_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q4_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q4_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q4_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_1> {
-    static constexpr int              vdr        = VDR_Q4_1_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_1<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q4_1_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q4_1<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q4_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q4_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_0> {
-    static constexpr int              vdr        = VDR_Q5_0_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_0<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q5_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q5_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q5_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q5_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_1> {
-    static constexpr int              vdr        = VDR_Q5_1_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_1<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q5_1_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q5_1<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q5_1_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q5_1_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q8_0> {
-    static constexpr int              vdr        = VDR_Q8_0_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q8_0<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q8_0_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q8_0<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q8_0_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q8_0_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q2_K> {
-    static constexpr int              vdr        = VDR_Q2_K_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q2_K<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q2_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+    static constexpr int              vdr          = VDR_Q2_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q2_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q2_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q2_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q3_K> {
-    static constexpr int              vdr        = VDR_Q3_K_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q3_K<mmq_y, nwarps, need_check>;
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q3_K_q8_1_mul_mat<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+    static constexpr int              vdr          = VDR_Q3_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q3_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q3_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q3_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q4_K> {
-    static constexpr int              vdr        = VDR_Q4_K_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q4_K<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q4_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q4_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q4_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q4_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q4_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q5_K> {
-    static constexpr int              vdr        = VDR_Q5_K_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q5_K<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q5_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q5_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q5_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q5_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q5_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
 template <int mmq_x, int mmq_y, int nwarps, bool need_check>
 struct mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, GGML_TYPE_Q6_K> {
-    static constexpr int              vdr        = VDR_Q6_K_Q8_1_MMQ;
-    static constexpr load_tiles_mmq_t load_tiles = load_tiles_q6_K<mmq_y, nwarps, need_check>;
-#ifdef INT8_MMA_AVAILABLE
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
-#else
-    static constexpr vec_dot_mmq_t    vec_dot    = vec_dot_q6_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
-    static constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
-#endif // INT8_MMA_AVAILABLE
+    static constexpr int              vdr          = VDR_Q6_K_Q8_1_MMQ;
+    static constexpr load_tiles_mmq_t load_tiles   = load_tiles_q6_K<mmq_y, nwarps, need_check>;
+    static constexpr vec_dot_mmq_t    vec_dot_mma  = vec_dot_q6_K_q8_1_mma<mmq_x, mmq_y, nwarps>;
+    static constexpr vec_dot_mmq_t    vec_dot_dp4a = vec_dot_q6_K_q8_1_dp4a<mmq_x, mmq_y, nwarps>;
 };
 
-static int mmq_need_sum(const ggml_type type_x) {
+static bool mmq_need_sum(const ggml_type type_x) {
     switch (type_x) {
         case GGML_TYPE_Q4_0:
         case GGML_TYPE_Q4_1:
@@ -1790,7 +1905,7 @@ template <ggml_type type, int mmq_x, int nwarps, bool need_check>
 #if __CUDA_ARCH__ >= CC_VOLTA
     __launch_bounds__(WARP_SIZE*nwarps, 1)
 #else
-    __launch_bounds__(WARP_SIZE*nwarps, type == GGML_TYPE_Q2_K ? 1 : 2)
+    __launch_bounds__(WARP_SIZE*nwarps, 2)
 #endif // __CUDA_ARCH__ >= CC_VOLTA
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
 static __global__ void mul_mat_q(
@@ -1809,16 +1924,21 @@ static __global__ void mul_mat_q(
     constexpr int              mmq_y      = get_mmq_y_device(mmq_x);
     constexpr int              vdr        = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vdr;
     constexpr load_tiles_mmq_t load_tiles = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::load_tiles;
-    constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot;
-    constexpr mmq_write_back_t write_back = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::write_back;
+
+#ifdef INT8_MMA_AVAILABLE
+    constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot_mma;
+    constexpr mmq_write_back_t write_back = mmq_write_back_mma<mmq_x, mmq_y, nwarps, need_check>;
+#else
+    constexpr vec_dot_mmq_t    vec_dot    = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vec_dot_dp4a;
+    constexpr mmq_write_back_t write_back = mmq_write_back_dp4a<mmq_x, mmq_y, nwarps, need_check>;
+#endif // INT8_MMA_AVAILABLE
 
     constexpr tile_x_sizes txs = get_tile_x_sizes_device<mmq_y>(type);
 
     extern __shared__ char data_mul_mat_q[];
-    int   * tile_x_ql = (int   *)  data_mul_mat_q;
-    half2 * tile_x_dm = (half2 *) (tile_x_ql + txs.ql);
-    int   * tile_x_qh = (int   *) (tile_x_dm + txs.dm);
-    int   * tile_x_sc = (int   *) (tile_x_qh + txs.qh);
+    int   * tile_x_qs = (int   *)  data_mul_mat_q;
+    half2 * tile_x_dm = (half2 *) (tile_x_qs + txs.qs);
+    int   * tile_x_sc = (int   *) (tile_x_dm + txs.dm);
     int   * tile_y    = (int   *) (tile_x_sc + txs.sc); // [mmq_x * (WARP_SIZE + WARP_SIZE/QI8_1)]
 
     const int blocks_per_row_x = ne00 / qk;
@@ -1834,7 +1954,7 @@ static __global__ void mul_mat_q(
 
     for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) {
 
-        load_tiles(x, tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, stride01*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride01);
+        load_tiles(x, tile_x_qs, tile_x_dm, tile_x_sc, stride01*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride01);
 
 #pragma unroll
         for (int kr = 0; kr < qr; ++kr) {
@@ -1850,7 +1970,7 @@ static __global__ void mul_mat_q(
 
 // #pragma unroll // unrolling this loop causes too much register pressure
             for (int k0 = kr*WARP_SIZE/qr; k0 < (kr+1)*WARP_SIZE/qr; k0 += vdr) {
-                vec_dot(tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc, tile_y, sum, k0);
+                vec_dot(tile_x_qs, tile_x_dm, tile_x_sc, tile_y, sum, k0);
             }
 
             __syncthreads();
@@ -1867,6 +1987,19 @@ struct mmq_args {
     int64_t ne0;
 };
 
+constexpr int mmq_get_nwarps(int mmq_x) {
+    return mmq_x >= 32 ? 8 : 4;
+}
+
+static int mmq_get_shmem(const ggml_type type, const int mmq_x, const int mmq_y) {
+    const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y);
+    const int nwarps = mmq_get_nwarps(mmq_x);
+
+    const int shmem_x = txs.qs*sizeof(int) + txs.dm*sizeof(half2) + txs.sc*sizeof(int);
+    const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2);
+    return shmem_x + GGML_PAD(shmem_y, nwarps*WARP_SIZE*sizeof(int));
+}
+
 template <ggml_type type, int mmq_x, int nwarps>
 static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
     const int id = ggml_cuda_get_device();
@@ -1878,10 +2011,7 @@ static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
     const dim3 block_nums(block_num_x, block_num_y, 1);
     const dim3 block_dims(WARP_SIZE, nwarps, 1);
 
-    const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y);
-    const int shmem_x = txs.ql*sizeof(int) + txs.dm*sizeof(half2) + txs.qh*sizeof(int) + txs.sc*sizeof(int);
-    const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2);
-    const int shmem = shmem_x + GGML_PAD(shmem_y, nwarps*WARP_SIZE*sizeof(int));
+    const int shmem = mmq_get_shmem(type, mmq_x, mmq_y);
 
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
     static bool shmem_limit_raised[GGML_CUDA_MAX_DEVICES] = {false};
@@ -1905,9 +2035,10 @@ static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
 
 template <ggml_type type>
 void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
-    const int id = ggml_cuda_get_device();
-    const int nsm = ggml_cuda_info().devices[id].nsm;
-    const int cc  = ggml_cuda_info().devices[id].cc;
+    const int id    = ggml_cuda_get_device();
+    const int nsm   = ggml_cuda_info().devices[id].nsm;
+    const int cc    = ggml_cuda_info().devices[id].cc;
+    const int smpbo = ggml_cuda_info().devices[id].smpbo;
 
     const int mmq_x_max = get_mmq_x_max_host(cc);
     const int mmq_y = get_mmq_y_host(cc, mmq_x_max);
@@ -1920,7 +2051,7 @@ void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
         const int block_num_x = (args.ne11 + mmq_x - 1) / mmq_x;
         const int nwaves = (block_num_x*block_num_y + nsm - 1) / nsm;
 
-        if (nwaves < nwaves_best) {
+        if (nwaves < nwaves_best && mmq_get_shmem(type, mmq_x, mmq_y) <= smpbo) {
             mmq_x_best  = mmq_x;
             nwaves_best = nwaves;
         }
@@ -1928,54 +2059,55 @@ void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
 
     switch (mmq_x_best) {
         case   8:
-            launch_mul_mat_q<type,   8, 4>(args, stream);
+            launch_mul_mat_q<type,   8, mmq_get_nwarps(  8)>(args, stream);
             break;
         case  16:
-            launch_mul_mat_q<type,  16, 4>(args, stream);
+            launch_mul_mat_q<type,  16, mmq_get_nwarps( 16)>(args, stream);
             break;
         case  24:
-            launch_mul_mat_q<type,  24, 4>(args, stream);
+            launch_mul_mat_q<type,  24, mmq_get_nwarps( 24)>(args, stream);
             break;
         case  32:
-            launch_mul_mat_q<type,  32, 8>(args, stream);
+            launch_mul_mat_q<type,  32, mmq_get_nwarps( 32)>(args, stream);
             break;
         case  40:
-            launch_mul_mat_q<type,  40, 8>(args, stream);
+            launch_mul_mat_q<type,  40, mmq_get_nwarps( 40)>(args, stream);
             break;
         case  48:
-            launch_mul_mat_q<type,  48, 8>(args, stream);
+            launch_mul_mat_q<type,  48, mmq_get_nwarps( 48)>(args, stream);
             break;
         case  56:
-            launch_mul_mat_q<type,  56, 8>(args, stream);
+            launch_mul_mat_q<type,  56, mmq_get_nwarps( 56)>(args, stream);
             break;
         case  64:
-            launch_mul_mat_q<type,  64, 8>(args, stream);
+            launch_mul_mat_q<type,  64, mmq_get_nwarps( 64)>(args, stream);
             break;
         case  72:
-            launch_mul_mat_q<type,  72, 8>(args, stream);
+            launch_mul_mat_q<type,  72, mmq_get_nwarps( 72)>(args, stream);
             break;
         case  80:
-            launch_mul_mat_q<type,  80, 8>(args, stream);
+            launch_mul_mat_q<type,  80, mmq_get_nwarps( 80)>(args, stream);
             break;
         case  88:
-            launch_mul_mat_q<type,  88, 8>(args, stream);
+            launch_mul_mat_q<type,  88, mmq_get_nwarps( 88)>(args, stream);
             break;
         case  96:
-            launch_mul_mat_q<type,  96, 8>(args, stream);
+            launch_mul_mat_q<type,  96, mmq_get_nwarps( 96)>(args, stream);
             break;
         case 104:
-            launch_mul_mat_q<type, 104, 8>(args, stream);
+            launch_mul_mat_q<type, 104, mmq_get_nwarps(104)>(args, stream);
             break;
         case 112:
-            launch_mul_mat_q<type, 112, 8>(args, stream);
+            launch_mul_mat_q<type, 112, mmq_get_nwarps(112)>(args, stream);
             break;
         case 120:
-            launch_mul_mat_q<type, 120, 8>(args, stream);
+            launch_mul_mat_q<type, 120, mmq_get_nwarps(120)>(args, stream);
             break;
         case 128:
-            launch_mul_mat_q<type, 128, 8>(args, stream);
+            launch_mul_mat_q<type, 128, mmq_get_nwarps(128)>(args, stream);
             break;
         default:
+            fprintf(stderr, "mmq_x_best=%d\n", mmq_x_best);
             GGML_ASSERT(false);
             break;
     }
diff --git a/ggml-cuda/softmax.cu b/ggml-cuda/softmax.cu
index ce64f2f2c..c24abae1f 100644
--- a/ggml-cuda/softmax.cu
+++ b/ggml-cuda/softmax.cu
@@ -130,6 +130,7 @@ static void soft_max_f32_cuda(const float * x, const T * mask, float * dst, cons
     const float m0 = powf(2.0f, -(max_bias       ) / n_head_log2);
     const float m1 = powf(2.0f, -(max_bias / 2.0f) / n_head_log2);
 
+    // FIXME: this limit could be raised by ~2-4x on Ampere or newer
     if (shmem < ggml_cuda_info().devices[ggml_cuda_get_device()].smpb) {
         switch (ncols_x) {
             case 32:
diff --git a/ggml-cuda/vecdotq.cuh b/ggml-cuda/vecdotq.cuh
index b9573a7c7..3b12d6566 100644
--- a/ggml-cuda/vecdotq.cuh
+++ b/ggml-cuda/vecdotq.cuh
@@ -265,36 +265,31 @@ static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmvq(
 
 // contiguous u/y values
 static __device__ __forceinline__ float vec_dot_q2_K_q8_1_impl_mmq(
-    const int * __restrict__ v, const int * __restrict__ u, const uint8_t * __restrict__ scales,
-    const half2 & dm2, const float & d8) {
+    const int * __restrict__ v, const int * __restrict__ u, const half2 * dm2, const float & d8) {
 
 #if __CUDA_ARCH__ >= MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    int sumi_d = 0;
-    int sumi_m = 0;
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
 
 #pragma unroll
     for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) {
-        int sumi_d_sc = 0;
-
-        const int sc = scales[i0 / (QI8_1/2)];
-
-        // fill int with 4x m
-        int m = sc >> 4;
-        m |= m <<  8;
-        m |= m << 16;
+        const float2 dm2f = __half22float2(dm2[i0/(QI8_1/2)]);
+        int sumi_d = 0;
+        int sumi_m = 0;
 
+        const int vi0 = v[i0/(QI8_1/2)];
 #pragma unroll
         for (int i = i0; i < i0 + QI8_1/2; ++i) {
-            sumi_d_sc = __dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product
-            sumi_m    = __dp4a(m,    u[i], sumi_m); // multiply sum of q8_1 values with m
+            const int vi = (vi0 >> (2*(i % (QI8_1/2)))) & 0x03030303;
+            sumi_d = __dp4a(vi,         u[i], sumi_d); // SIMD dot product
+            sumi_m = __dp4a(0x01010101, u[i], sumi_m);
         }
 
-        sumi_d += sumi_d_sc * (sc & 0xF);
+        sumf_d += dm2f.x * sumi_d;
+        sumf_m += dm2f.y * sumi_m;
     }
 
-    const float2 dm2f = __half22float2(dm2);
-
-    return d8 * (dm2f.x*sumi_d - dm2f.y*sumi_m);
+    return d8*(sumf_d - sumf_m);
 #else
     NO_DEVICE_CODE;
 #endif // __CUDA_ARCH__ >= MIN_CC_DP4A
@@ -352,8 +347,10 @@ static __device__ __forceinline__ float vec_dot_q3_K_q8_1_impl_mmq(
     for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) {
         int sumi_sc = 0;
 
+#pragma unroll
         for (int i = i0; i < i0 + QI8_1/2; ++i) {
-            sumi_sc = __dp4a(v[i], u[i], sumi_sc); // SIMD dot product
+            const int vi = __vsubss4((v[i/2] >> (4*(i%2))) & 0x0F0F0F0F, 0x04040404);
+            sumi_sc = __dp4a(vi, u[i], sumi_sc); // SIMD dot product
         }
 
         sumi += sumi_sc * scales[i0 / (QI8_1/2)];

From f8ec8877b75774fc6c47559d529dac423877bcad Mon Sep 17 00:00:00 2001
From: olexiyb <olexiyb@gmail.com>
Date: Fri, 14 Jun 2024 20:28:34 +0300
Subject: [PATCH 073/131] ci : fix macos x86 build (#7940)

In order to use old `macos-latest` we should use `macos-12`

Potentially will fix: https://github.com/ggerganov/llama.cpp/issues/6975
---
 .github/workflows/build.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 81ce770cc..a8fcae043 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -84,7 +84,7 @@ jobs:
           name: llama-bin-macos-arm64.zip
 
   macOS-latest-cmake-x64:
-    runs-on: macos-latest
+    runs-on: macos-12
 
     steps:
       - name: Clone

From 7b2f4a7d193ef2475259bbe7656fcccfab4b1217 Mon Sep 17 00:00:00 2001
From: "Meng, Hengyu" <hengyu.meng@intel.com>
Date: Sat, 15 Jun 2024 14:05:10 +0800
Subject: [PATCH 074/131] [SYCL] remove global variables (#7710)

* separate DPCT helpers outside

* replace global variables with context

* remove useless extra

* update mul_mat condition

* remove duplicate buft initialization

* remove duplicate extra and global work group size

* remove useless backend check

* remove duplicated extras

* use macro for group_size and remove cuda-related
---
 CMakeLists.txt            |    3 +-
 ggml-sycl.cpp             | 5532 +++++--------------------------------
 ggml-sycl.h               |   11 +-
 ggml-sycl/backend.hpp     |   18 +
 ggml-sycl/common.cpp      |   53 +
 ggml-sycl/common.hpp      |  298 ++
 ggml-sycl/dpct/helper.hpp | 2980 ++++++++++++++++++++
 ggml-sycl/presets.hpp     |   69 +
 llama.cpp                 |   13 +-
 9 files changed, 4142 insertions(+), 4835 deletions(-)
 create mode 100644 ggml-sycl/backend.hpp
 create mode 100644 ggml-sycl/common.cpp
 create mode 100644 ggml-sycl/common.hpp
 create mode 100644 ggml-sycl/dpct/helper.hpp
 create mode 100644 ggml-sycl/presets.hpp

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 08481334f..d86107187 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -684,7 +684,8 @@ if (LLAMA_SYCL)
     endif()
 
     set(GGML_HEADERS_SYCL ggml-sycl.h)
-    set(GGML_SOURCES_SYCL ggml-sycl.cpp)
+    file(GLOB GGML_SOURCES_SYCL "ggml-sycl/*.cpp")
+    list(APPEND GGML_SOURCES_SYCL "ggml-sycl.cpp")
 
     if (WIN32)
         set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl sycl7 OpenCL mkl_sycl_blas_dll.lib mkl_intel_ilp64_dll.lib mkl_sequential_dll.lib mkl_core_dll.lib)
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 6f41ed272..6bd42b960 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -36,6 +36,8 @@
 #include "ggml.h"
 #include "ggml-backend-impl.h"
 
+#include "ggml-sycl/backend.hpp"
+
 /*
 Following definition copied from DPCT head files, which are used by ggml-sycl.cpp
 */
@@ -82,3020 +84,7 @@ Following definition copied from DPCT head files, which are used by ggml-sycl.cp
 #define __dpct_noinline__ __attribute__((noinline))
 #endif
 
-
-std::string get_device_type_name(const sycl::device &Device) {
-    auto DeviceType = Device.get_info<sycl::info::device::device_type>();
-    switch (DeviceType) {
-    case sycl::info::device_type::cpu:
-        return "cpu";
-    case sycl::info::device_type::gpu:
-        return "gpu";
-    case sycl::info::device_type::host:
-        return "host";
-    case sycl::info::device_type::accelerator:
-        return "acc";
-    default:
-        return "unknown";
-    }
-}
-
-std::string get_device_backend_and_type(const sycl::device &device) {
-    std::stringstream device_type;
-    sycl::backend backend = device.get_backend();
-    device_type <<  backend << ":" << get_device_type_name(device);
-    return device_type.str();
-}
-
-namespace dpct
-{
-    typedef sycl::queue *queue_ptr;
-    typedef sycl::event *event_ptr;
-    typedef char *device_ptr;
-    typedef uint8_t byte_t;
-    typedef sycl::buffer<byte_t> buffer_t;
-
-    /// SYCL default exception handler
-    inline auto exception_handler = [](sycl::exception_list exceptions)
-    {
-        for (std::exception_ptr const &e : exceptions)
-        {
-            try
-            {
-                std::rethrow_exception(e);
-            }
-            catch (sycl::exception const &e)
-            {
-                std::cerr << "Caught asynchronous SYCL exception:" << std::endl
-                          << e.what() << std::endl
-                          << "Exception caught at file:" << __FILE__
-                          << ", line:" << __LINE__ << std::endl;
-            }
-        }
-    };
-
-    enum error_code
-    {
-        success = 0,
-        default_error = 999
-    };
-
-    enum memcpy_direction
-    {
-        host_to_host,
-        host_to_device,
-        device_to_host,
-        device_to_device,
-        automatic
-    };
-
-    enum memory_region
-    {
-        global = 0, // device global memory
-        constant,   // device constant memory
-        local,      // device local memory
-        shared,     // memory which can be accessed by host and device
-    };
-
-    enum class library_data_t : unsigned char
-    {
-        real_float = 0,
-        complex_float,
-        real_double,
-        complex_double,
-        real_half,
-        complex_half,
-        real_bfloat16,
-        complex_bfloat16,
-        real_int4,
-        complex_int4,
-        real_uint4,
-        complex_uint4,
-        real_int8,
-        complex_int8,
-        real_uint8,
-        complex_uint8,
-        real_int16,
-        complex_int16,
-        real_uint16,
-        complex_uint16,
-        real_int32,
-        complex_int32,
-        real_uint32,
-        complex_uint32,
-        real_int64,
-        complex_int64,
-        real_uint64,
-        complex_uint64,
-        real_int8_4,
-        real_int8_32,
-        real_uint8_4,
-        library_data_t_size
-    };
-
-    template <typename T>
-    struct DataType
-    {
-        using T2 = T;
-    };
-    template <typename T>
-    struct DataType<sycl::vec<T, 2>>
-    {
-        using T2 = std::complex<T>;
-    };
-
-    static void destroy_event(event_ptr event)
-    {
-        delete event;
-    }
-
-    static inline unsigned int get_tid()
-    {
-#if defined(__linux__)
-        return syscall(SYS_gettid);
-#elif defined(_WIN64)
-        return GetCurrentThreadId();
-#else
-#error "Only support Windows and Linux."
-#endif
-    }
-
-    namespace detail
-    {
-        static void get_version(const sycl::device &dev, int &major, int &minor)
-        {
-            // Version string has the following format:
-            // a. OpenCL<space><major.minor><space><vendor-specific-information>
-            // b. <major.minor>
-            // c. <AmdGcnArchName> e.g gfx1030
-            std::string ver;
-            ver = dev.get_info<sycl::info::device::version>();
-            std::string::size_type i = 0;
-            while (i < ver.size()) {
-              if (isdigit(ver[i]))
-                break;
-              i++;
-            }
-            major = std::stoi(&(ver[i]));
-            while (i < ver.size()) {
-              if (ver[i] == '.')
-                break;
-              i++;
-            }
-            if (i < ver.size()) {
-              // a. and b.
-              i++;
-              minor = std::stoi(&(ver[i]));
-            } else {
-              // c.
-              minor = 0;
-            }
-        }
-
-        template <typename tag, typename T>
-        class generic_error_type
-        {
-        public:
-            generic_error_type() = default;
-            generic_error_type(T value) : value{value} {}
-            operator T() const { return value; }
-
-        private:
-            T value;
-        };
-
-    } // namespace detail
-
-    /// Pitched 2D/3D memory data.
-    class pitched_data
-    {
-    public:
-        pitched_data() : pitched_data(nullptr, 0, 0, 0) {}
-        pitched_data(void *data, size_t pitch, size_t x, size_t y)
-            : _data(data), _pitch(pitch), _x(x), _y(y) {}
-
-        void *get_data_ptr() { return _data; }
-        void set_data_ptr(void *data) { _data = data; }
-
-        size_t get_pitch() { return _pitch; }
-        void set_pitch(size_t pitch) { _pitch = pitch; }
-
-        size_t get_x() { return _x; }
-        void set_x(size_t x) { _x = x; };
-
-        size_t get_y() { return _y; }
-        void set_y(size_t y) { _y = y; }
-
-    private:
-        void *_data;
-        size_t _pitch, _x, _y;
-    };
-
-    class device_info
-    {
-    public:
-        // get interface
-        const char *get_name() const { return _name; }
-        char *get_name() { return _name; }
-        template <typename WorkItemSizesTy = sycl::range<3>,
-                  std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> ||
-                                       std::is_same_v<WorkItemSizesTy, int *>,
-                                   int> = 0>
-        auto get_max_work_item_sizes() const
-        {
-            if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>)
-                return sycl::range<3>(_max_work_item_sizes_i[0],
-                                      _max_work_item_sizes_i[1],
-                                      _max_work_item_sizes_i[2]);
-            else
-            {
-                return _max_work_item_sizes_i;
-            }
-        }
-        template <typename WorkItemSizesTy = sycl::range<3>,
-                  std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> ||
-                                       std::is_same_v<WorkItemSizesTy, int *>,
-                                   int> = 0>
-        auto get_max_work_item_sizes()
-        {
-            if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>)
-                return sycl::range<3>(_max_work_item_sizes_i[0],
-                                      _max_work_item_sizes_i[1],
-                                      _max_work_item_sizes_i[2]);
-            else
-            {
-                return _max_work_item_sizes_i;
-            }
-        }
-        bool get_host_unified_memory() const { return _host_unified_memory; }
-        int get_major_version() const { return _major; }
-        int get_minor_version() const { return _minor; }
-        int get_integrated() const { return _integrated; }
-        int get_max_clock_frequency() const { return _frequency; }
-        int get_max_compute_units() const { return _max_compute_units; }
-        int get_max_work_group_size() const { return _max_work_group_size; }
-        int get_max_sub_group_size() const { return _max_sub_group_size; }
-        int get_max_work_items_per_compute_unit() const
-        {
-            return _max_work_items_per_compute_unit;
-        }
-        int get_max_register_size_per_work_group() const
-        {
-            return _max_register_size_per_work_group;
-        }
-        template <typename NDRangeSizeTy = size_t *,
-                  std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> ||
-                                       std::is_same_v<NDRangeSizeTy, int *>,
-                                   int> = 0>
-        auto get_max_nd_range_size() const
-        {
-            if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>)
-                return _max_nd_range_size;
-            else
-                return _max_nd_range_size_i;
-        }
-        template <typename NDRangeSizeTy = size_t *,
-                  std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> ||
-                                       std::is_same_v<NDRangeSizeTy, int *>,
-                                   int> = 0>
-        auto get_max_nd_range_size()
-        {
-            if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>)
-                return _max_nd_range_size;
-            else
-                return _max_nd_range_size_i;
-        }
-        size_t get_global_mem_size() const { return _global_mem_size; }
-        size_t get_local_mem_size() const { return _local_mem_size; }
-        size_t get_max_mem_alloc_size() const { return _max_mem_alloc_size; }
-        /// Returns the maximum clock rate of device's global memory in kHz. If
-        /// compiler does not support this API then returns default value 3200000 kHz.
-        unsigned int get_memory_clock_rate() const { return _memory_clock_rate; }
-        /// Returns the maximum bus width between device and memory in bits. If
-        /// compiler does not support this API then returns default value 64 bits.
-        unsigned int get_memory_bus_width() const { return _memory_bus_width; }
-        uint32_t get_device_id() const { return _device_id; }
-        std::array<unsigned char, 16> get_uuid() const { return _uuid; }
-        /// Returns global memory cache size in bytes.
-        unsigned int get_global_mem_cache_size() const
-        {
-            return _global_mem_cache_size;
-        }
-
-        // set interface
-        void set_name(const char *name)
-        {
-            size_t length = strlen(name);
-            if (length < 256)
-            {
-                std::memcpy(_name, name, length + 1);
-            }
-            else
-            {
-                std::memcpy(_name, name, 255);
-                _name[255] = '\0';
-            }
-        }
-        void set_max_work_item_sizes(const sycl::range<3> max_work_item_sizes)
-        {
-            for (int i = 0; i < 3; ++i)
-                _max_work_item_sizes_i[i] = max_work_item_sizes[i];
-        }
-        [[deprecated]] void
-        set_max_work_item_sizes(const sycl::id<3> max_work_item_sizes)
-        {
-            for (int i = 0; i < 3; ++i)
-            {
-                _max_work_item_sizes_i[i] = max_work_item_sizes[i];
-            }
-        }
-        void set_host_unified_memory(bool host_unified_memory)
-        {
-            _host_unified_memory = host_unified_memory;
-        }
-        void set_major_version(int major) { _major = major; }
-        void set_minor_version(int minor) { _minor = minor; }
-        void set_integrated(int integrated) { _integrated = integrated; }
-        void set_max_clock_frequency(int frequency) { _frequency = frequency; }
-        void set_max_compute_units(int max_compute_units)
-        {
-            _max_compute_units = max_compute_units;
-        }
-        void set_global_mem_size(size_t global_mem_size)
-        {
-            _global_mem_size = global_mem_size;
-        }
-        void set_local_mem_size(size_t local_mem_size)
-        {
-            _local_mem_size = local_mem_size;
-        }
-        void set_max_mem_alloc_size(size_t max_mem_alloc_size)
-        {
-            _max_mem_alloc_size = max_mem_alloc_size;
-        }
-        void set_max_work_group_size(int max_work_group_size)
-        {
-            _max_work_group_size = max_work_group_size;
-        }
-        void set_max_sub_group_size(int max_sub_group_size)
-        {
-            _max_sub_group_size = max_sub_group_size;
-        }
-        void
-        set_max_work_items_per_compute_unit(int max_work_items_per_compute_unit)
-        {
-            _max_work_items_per_compute_unit = max_work_items_per_compute_unit;
-        }
-        void set_max_nd_range_size(int max_nd_range_size[])
-        {
-            for (int i = 0; i < 3; i++)
-            {
-                _max_nd_range_size[i] = max_nd_range_size[i];
-                _max_nd_range_size_i[i] = max_nd_range_size[i];
-            }
-        }
-        void set_memory_clock_rate(unsigned int memory_clock_rate)
-        {
-            _memory_clock_rate = memory_clock_rate;
-        }
-        void set_memory_bus_width(unsigned int memory_bus_width)
-        {
-            _memory_bus_width = memory_bus_width;
-        }
-        void
-        set_max_register_size_per_work_group(int max_register_size_per_work_group)
-        {
-            _max_register_size_per_work_group = max_register_size_per_work_group;
-        }
-        void set_device_id(uint32_t device_id)
-        {
-            _device_id = device_id;
-        }
-        void set_uuid(std::array<unsigned char, 16> uuid)
-        {
-            _uuid = std::move(uuid);
-        }
-        void set_global_mem_cache_size(unsigned int global_mem_cache_size)
-        {
-            _global_mem_cache_size = global_mem_cache_size;
-        }
-
-    private:
-        char _name[256];
-        int _max_work_item_sizes_i[3];
-        bool _host_unified_memory = false;
-        int _major;
-        int _minor;
-        int _integrated = 0;
-        int _frequency;
-        // Set estimated value 3200000 kHz as default value.
-        unsigned int _memory_clock_rate = 3200000;
-        // Set estimated value 64 bits as default value.
-        unsigned int _memory_bus_width = 64;
-        unsigned int _global_mem_cache_size;
-        int _max_compute_units;
-        int _max_work_group_size;
-        int _max_sub_group_size;
-        int _max_work_items_per_compute_unit;
-        int _max_register_size_per_work_group;
-        size_t _global_mem_size;
-        size_t _local_mem_size;
-        size_t _max_mem_alloc_size;
-        size_t _max_nd_range_size[3];
-        int _max_nd_range_size_i[3];
-        uint32_t _device_id;
-        std::array<unsigned char, 16> _uuid;
-    };
-
-    static int get_major_version(const sycl::device &dev)
-    {
-        int major, minor;
-        detail::get_version(dev, major, minor);
-        return major;
-    }
-
-    static int get_minor_version(const sycl::device &dev)
-    {
-        int major, minor;
-        detail::get_version(dev, major, minor);
-        return minor;
-    }
-
-    static void get_device_info(device_info &out, const sycl::device &dev)
-    {
-        device_info prop;
-        prop.set_name(dev.get_info<sycl::info::device::name>().c_str());
-
-        int major, minor;
-        detail::get_version(dev, major, minor);
-        prop.set_major_version(major);
-        prop.set_minor_version(minor);
-
-        prop.set_max_work_item_sizes(
-#if (__SYCL_COMPILER_VERSION && __SYCL_COMPILER_VERSION < 20220902)
-            // oneAPI DPC++ compiler older than 2022/09/02, where max_work_item_sizes
-            // is an enum class element
-            dev.get_info<sycl::info::device::max_work_item_sizes>());
-#else
-            // SYCL 2020-conformant code, max_work_item_sizes is a struct templated by
-            // an int
-            dev.get_info<sycl::info::device::max_work_item_sizes<3>>());
-#endif
-        prop.set_host_unified_memory(dev.has(sycl::aspect::usm_host_allocations));
-
-        prop.set_max_clock_frequency(
-            dev.get_info<sycl::info::device::max_clock_frequency>() * 1000);
-
-        prop.set_max_compute_units(
-            dev.get_info<sycl::info::device::max_compute_units>());
-        prop.set_max_work_group_size(
-            dev.get_info<sycl::info::device::max_work_group_size>());
-        prop.set_global_mem_size(dev.get_info<sycl::info::device::global_mem_size>());
-        prop.set_local_mem_size(dev.get_info<sycl::info::device::local_mem_size>());
-        prop.set_max_mem_alloc_size(dev.get_info<sycl::info::device::max_mem_alloc_size>());
-
-#if (defined(SYCL_EXT_INTEL_DEVICE_INFO) && SYCL_EXT_INTEL_DEVICE_INFO >= 6)
-        if (dev.has(sycl::aspect::ext_intel_memory_clock_rate))
-        {
-            unsigned int tmp =
-                dev.get_info<sycl::ext::intel::info::device::memory_clock_rate>();
-            if (tmp != 0)
-                prop.set_memory_clock_rate(1000 * tmp);
-        }
-        if (dev.has(sycl::aspect::ext_intel_memory_bus_width))
-        {
-            prop.set_memory_bus_width(
-                dev.get_info<sycl::ext::intel::info::device::memory_bus_width>());
-        }
-        if (dev.has(sycl::aspect::ext_intel_device_id))
-        {
-            prop.set_device_id(
-                dev.get_info<sycl::ext::intel::info::device::device_id>());
-        }
-        if (dev.has(sycl::aspect::ext_intel_device_info_uuid))
-        {
-            prop.set_uuid(dev.get_info<sycl::ext::intel::info::device::uuid>());
-        }
-#elif defined(_MSC_VER) && !defined(__clang__)
-#pragma message("get_device_info: querying memory_clock_rate and \
-        memory_bus_width are not supported by the compiler used. \
-        Use 3200000 kHz as memory_clock_rate default value. \
-        Use 64 bits as memory_bus_width default value.")
-#else
-#warning "get_device_info: querying memory_clock_rate and \
-        memory_bus_width are not supported by the compiler used. \
-        Use 3200000 kHz as memory_clock_rate default value. \
-        Use 64 bits as memory_bus_width default value."
-#endif
-
-        size_t max_sub_group_size = 1;
-        std::vector<size_t> sub_group_sizes =
-            dev.get_info<sycl::info::device::sub_group_sizes>();
-
-        for (const auto &sub_group_size : sub_group_sizes)
-        {
-            if (max_sub_group_size < sub_group_size)
-                max_sub_group_size = sub_group_size;
-        }
-
-        prop.set_max_sub_group_size(max_sub_group_size);
-
-        prop.set_max_work_items_per_compute_unit(
-            dev.get_info<sycl::info::device::max_work_group_size>());
-        int max_nd_range_size[] = {0x7FFFFFFF, 0x7FFFFFFF, 0x7FFFFFFF};
-        prop.set_max_nd_range_size(max_nd_range_size);
-
-        // Estimates max register size per work group, feel free to update the value
-        // according to device properties.
-        prop.set_max_register_size_per_work_group(65536);
-
-        prop.set_global_mem_cache_size(
-            dev.get_info<sycl::info::device::global_mem_cache_size>());
-        out = prop;
-    }
-
-    /// dpct device extension
-    class device_ext : public sycl::device
-    {
-        typedef std::mutex mutex_type;
-
-    public:
-        device_ext() : sycl::device(), _ctx(*this) {}
-        ~device_ext()
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            clear_queues();
-        }
-        device_ext(const sycl::device &base) : sycl::device(base), _ctx(*this)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            init_queues();
-        }
-
-        int is_native_atomic_supported() { return 0; }
-        int get_major_version() const
-        {
-            return dpct::get_major_version(*this);
-        }
-
-        int get_minor_version() const
-        {
-            return dpct::get_minor_version(*this);
-        }
-
-        int get_max_compute_units() const
-        {
-            return get_device_info().get_max_compute_units();
-        }
-
-        /// Return the maximum clock frequency of this device in KHz.
-        int get_max_clock_frequency() const
-        {
-            return get_device_info().get_max_clock_frequency();
-        }
-
-        int get_integrated() const { return get_device_info().get_integrated(); }
-
-        int get_max_sub_group_size() const
-        {
-            return get_device_info().get_max_sub_group_size();
-        }
-
-        int get_max_register_size_per_work_group() const
-        {
-            return get_device_info().get_max_register_size_per_work_group();
-        }
-
-        int get_max_work_group_size() const
-        {
-            return get_device_info().get_max_work_group_size();
-        }
-
-        int get_mem_base_addr_align() const
-        {
-            return get_info<sycl::info::device::mem_base_addr_align>();
-        }
-
-        size_t get_global_mem_size() const
-        {
-            return get_device_info().get_global_mem_size();
-        }
-
-        size_t get_max_mem_alloc_size() const
-        {
-            return get_device_info().get_max_mem_alloc_size();
-        }
-
-        /// Get the number of bytes of free and total memory on the SYCL device.
-        /// \param [out] free_memory The number of bytes of free memory on the SYCL device.
-        /// \param [out] total_memory The number of bytes of total memory on the SYCL device.
-        void get_memory_info(size_t &free_memory, size_t &total_memory)
-        {
-            total_memory = get_device_info().get_global_mem_size();
-            const char *warning_info = "get_memory_info: [warning] ext_intel_free_memory is not "
-                                 "supported (export/set ZES_ENABLE_SYSMAN=1 to support), "
-                                 "use total memory as free memory";
-#if (defined(__SYCL_COMPILER_VERSION) && __SYCL_COMPILER_VERSION >= 20221105)
-            if (!has(sycl::aspect::ext_intel_free_memory))
-            {
-                std::cerr << warning_info << std::endl;
-                free_memory = total_memory;
-            }
-            else
-            {
-                free_memory = get_info<sycl::ext::intel::info::device::free_memory>();
-            }
-#else
-            std::cerr << warning_info << std::endl;
-            free_memory = total_memory;
-#if defined(_MSC_VER) && !defined(__clang__)
-#pragma message("Querying the number of bytes of free memory is not supported")
-#else
-#warning "Querying the number of bytes of free memory is not supported"
-#endif
-#endif
-        }
-
-        void get_device_info(device_info &out) const
-        {
-            dpct::get_device_info(out, *this);
-        }
-
-        device_info get_device_info() const
-        {
-            device_info prop;
-            dpct::get_device_info(prop, *this);
-            return prop;
-        }
-
-        void reset()
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            clear_queues();
-            init_queues();
-        }
-
-        sycl::queue &in_order_queue() { return *_q_in_order; }
-
-        sycl::queue &out_of_order_queue() { return *_q_out_of_order; }
-
-        sycl::queue &default_queue()
-        {
-            return in_order_queue();
-        }
-
-        void queues_wait_and_throw()
-        {
-            std::unique_lock<mutex_type> lock(m_mutex);
-            std::vector<std::shared_ptr<sycl::queue>> current_queues(
-                _queues);
-            lock.unlock();
-            for (const auto &q : current_queues)
-            {
-                q->wait_and_throw();
-            }
-            // Guard the destruct of current_queues to make sure the ref count is safe.
-            lock.lock();
-        }
-
-        sycl::queue *create_queue(bool enable_exception_handler = false)
-        {
-            return create_in_order_queue(enable_exception_handler);
-        }
-
-        sycl::queue *create_queue(sycl::context context, sycl::device device,
-                                bool enable_exception_handler = false) {
-            return create_in_order_queue(context, device, enable_exception_handler);
-        }
-
-        sycl::queue *create_in_order_queue(bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(enable_exception_handler,
-                                    sycl::property::queue::in_order());
-        }
-
-        sycl::queue *create_in_order_queue(sycl::context context, sycl::device device,
-                                        bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(context, device, enable_exception_handler,
-                                    sycl::property::queue::in_order());
-        }
-
-        sycl::queue *create_out_of_order_queue(bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(enable_exception_handler);
-        }
-
-        void destroy_queue(sycl::queue *&queue)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            _queues.erase(std::remove_if(_queues.begin(), _queues.end(),
-                                         [=](const std::shared_ptr<sycl::queue> &q) -> bool
-                                         {
-                                             return q.get() == queue;
-                                         }),
-                          _queues.end());
-            queue = nullptr;
-        }
-        void set_saved_queue(sycl::queue *q)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            _saved_queue = q;
-        }
-        sycl::queue *get_saved_queue() const
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return _saved_queue;
-        }
-        sycl::context get_context() const { return _ctx; }
-
-    private:
-        void clear_queues()
-        {
-            _queues.clear();
-            _q_in_order = _q_out_of_order = _saved_queue = nullptr;
-        }
-
-        void init_queues()
-        {
-            _q_in_order = create_queue_impl(true, sycl::property::queue::in_order());
-            _q_out_of_order = create_queue_impl(true);
-            _saved_queue = &default_queue();
-        }
-
-        /// Caller should acquire resource \p m_mutex before calling this function.
-        template <class... Properties>
-        sycl::queue *create_queue_impl(bool enable_exception_handler,
-                                       Properties... properties)
-        {
-            sycl::async_handler eh = {};
-            if (enable_exception_handler)
-            {
-                eh = exception_handler;
-            }
-            _queues.push_back(std::make_shared<sycl::queue>(
-                _ctx, *this, eh,
-                sycl::property_list(
-#ifdef DPCT_PROFILING_ENABLED
-                    sycl::property::queue::enable_profiling(),
-#endif
-                    properties...)));
-
-            return _queues.back().get();
-        }
-
-        template <class... Properties>
-        sycl::queue *create_queue_impl(sycl::context context, sycl::device device,
-                                    bool enable_exception_handler,
-                                    Properties... properties) {
-            sycl::async_handler eh = {};
-            if (enable_exception_handler) {
-                eh = exception_handler;
-            }
-            _queues.push_back(std::make_shared<sycl::queue>(
-                context, device, eh,
-                sycl::property_list(
-        #ifdef DPCT_PROFILING_ENABLED
-                    sycl::property::queue::enable_profiling(),
-        #endif
-                    properties...)));
-
-            return _queues.back().get();
-        }
-
-        void get_version(int &major, int &minor) const
-        {
-            detail::get_version(*this, major, minor);
-        }
-        sycl::queue *_q_in_order, *_q_out_of_order;
-        sycl::queue *_saved_queue;
-        sycl::context _ctx;
-        std::vector<std::shared_ptr<sycl::queue>> _queues;
-        mutable mutex_type m_mutex;
-    };
-
-    /// device manager
-    class dev_mgr
-    {
-    public:
-        device_ext &current_device()
-        {
-            unsigned int dev_id = current_device_id();
-            check_id(dev_id);
-            return *_devs[dev_id];
-        }
-        device_ext &cpu_device() const
-        {
-            std::lock_guard<std::recursive_mutex> lock(m_mutex);
-            if (_cpu_device == -1)
-            {
-                throw std::runtime_error("no valid cpu device");
-            }
-            else
-            {
-                return *_devs[_cpu_device];
-            }
-        }
-        device_ext &get_device(unsigned int id) const
-        {
-            std::lock_guard<std::recursive_mutex> lock(m_mutex);
-            check_id(id);
-            return *_devs[id];
-        }
-        unsigned int current_device_id() const
-        {
-            std::lock_guard<std::recursive_mutex> lock(m_mutex);
-            auto it = _thread2dev_map.find(get_tid());
-            if (it != _thread2dev_map.end())
-                return it->second;
-            return DEFAULT_DEVICE_ID;
-        }
-
-        /// Select device with a device ID.
-        /// \param [in] id The id of the device which can
-        /// be obtained through get_device_id(const sycl::device).
-        void select_device(unsigned int id)
-        {
-            std::lock_guard<std::recursive_mutex> lock(m_mutex);
-            check_id(id);
-            _thread2dev_map[get_tid()] = id;
-        }
-        unsigned int device_count() { return _devs.size(); }
-
-        unsigned int get_device_id(const sycl::device &dev)
-        {
-            unsigned int id = 0;
-            for (auto dev_item : _devs)
-            {
-                if (*dev_item == dev)
-                {
-                    break;
-                }
-                id++;
-            }
-            return id;
-        }
-
-        template <class DeviceSelector>
-        std::enable_if_t<
-            std::is_invocable_r_v<int, DeviceSelector, const sycl::device &>>
-        select_device(const DeviceSelector &selector = sycl::gpu_selector_v)
-        {
-            sycl::device selected_device = sycl::device(selector);
-            unsigned int selected_device_id = get_device_id(selected_device);
-            select_device(selected_device_id);
-        }
-
-        /// Returns the instance of device manager singleton.
-        static dev_mgr &instance()
-        {
-            static dev_mgr d_m;
-            return d_m;
-        }
-        dev_mgr(const dev_mgr &) = delete;
-        dev_mgr &operator=(const dev_mgr &) = delete;
-        dev_mgr(dev_mgr &&) = delete;
-        dev_mgr &operator=(dev_mgr &&) = delete;
-
-    private:
-        mutable std::recursive_mutex m_mutex;
-        static bool compare_dev(sycl::device &device1, sycl::device &device2)
-        {
-            dpct::device_info prop1;
-            dpct::get_device_info(prop1, device1);
-            dpct::device_info prop2;
-            dpct::get_device_info(prop2, device2);
-            return prop1.get_max_compute_units() > prop2.get_max_compute_units();
-        }
-        static int convert_backend_index(std::string & backend) {
-            if (backend == "ext_oneapi_level_zero:gpu") return 0;
-            if (backend == "opencl:gpu") return 1;
-            if (backend == "ext_oneapi_cuda:gpu") return 2;
-            if (backend == "ext_oneapi_hip:gpu") return 3;
-            if (backend == "opencl:cpu") return 4;
-            if (backend == "opencl:acc") return 5;
-            printf("convert_backend_index: can't handle backend=%s\n", backend.c_str());
-            GGML_ASSERT(false);
-        }
-        static bool compare_backend(std::string &backend1, std::string &backend2) {
-            return convert_backend_index(backend1) < convert_backend_index(backend2);
-        }
-        dev_mgr()
-        {
-            sycl::device default_device =
-                sycl::device(sycl::default_selector_v);
-            _devs.push_back(std::make_shared<device_ext>(default_device));
-
-            std::vector<sycl::device> sycl_all_devs;
-            // Collect other devices except for the default device.
-            if (default_device.is_cpu())
-                _cpu_device = 0;
-
-            auto Platforms = sycl::platform::get_platforms();
-            // Keep track of the number of devices per backend
-            std::map<sycl::backend, size_t> DeviceNums;
-            std::map<std::string, std::vector<sycl::device>> backend_devices;
-
-            while (!Platforms.empty()) {
-                auto Platform = Platforms.back();
-                Platforms.pop_back();
-                auto devices = Platform.get_devices();
-                std::string backend_type = get_device_backend_and_type(devices[0]);
-                for (const auto &device : devices) {
-                    backend_devices[backend_type].push_back(device);
-                }
-            }
-
-            std::vector<std::string> keys;
-            for(auto it = backend_devices.begin(); it != backend_devices.end(); ++it) {
-                keys.push_back(it->first);
-            }
-            std::sort(keys.begin(), keys.end(), compare_backend);
-
-            for (auto &key : keys) {
-                std::vector<sycl::device> devs = backend_devices[key];
-                std::sort(devs.begin(), devs.end(), compare_dev);
-                for (const auto &dev : devs) {
-                    sycl_all_devs.push_back(dev);
-                }
-            }
-
-            for (auto &dev : sycl_all_devs)
-            {
-                if (dev == default_device)
-                {
-                    continue;
-                }
-                _devs.push_back(std::make_shared<device_ext>(dev));
-                if (_cpu_device == -1 && dev.is_cpu())
-                {
-                    _cpu_device = _devs.size() - 1;
-                }
-            }
-        }
-        void check_id(unsigned int id) const
-        {
-            if (id >= _devs.size())
-            {
-                throw std::runtime_error("invalid device id");
-            }
-        }
-        std::vector<std::shared_ptr<device_ext>> _devs;
-        /// DEFAULT_DEVICE_ID is used, if current_device_id() can not find current
-        /// thread id in _thread2dev_map, which means default device should be used
-        /// for the current thread.
-        const unsigned int DEFAULT_DEVICE_ID = 0;
-        /// thread-id to device-id map.
-        std::map<unsigned int, unsigned int> _thread2dev_map;
-        int _cpu_device = -1;
-    };
-
-    static inline sycl::queue &get_default_queue()
-    {
-        return dev_mgr::instance().current_device().default_queue();
-    }
-
-    namespace detail
-    {
-        enum class pointer_access_attribute
-        {
-            host_only = 0,
-            device_only,
-            host_device,
-            end
-        };
-
-        static pointer_access_attribute get_pointer_attribute(sycl::queue &q,
-                                                              const void *ptr)
-        {
-            switch (sycl::get_pointer_type(ptr, q.get_context()))
-            {
-            case sycl::usm::alloc::unknown:
-                return pointer_access_attribute::host_only;
-            case sycl::usm::alloc::device:
-                return pointer_access_attribute::device_only;
-            case sycl::usm::alloc::shared:
-            case sycl::usm::alloc::host:
-                return pointer_access_attribute::host_device;
-            }
-        }
-
-        template <typename ArgT>
-        inline constexpr std::uint64_t get_type_combination_id(ArgT Val)
-        {
-            static_assert((unsigned char)library_data_t::library_data_t_size <=
-                              std::numeric_limits<unsigned char>::max() &&
-                          "library_data_t size exceeds limit.");
-            static_assert(std::is_same_v<ArgT, library_data_t>, "Unsupported ArgT");
-            return (std::uint64_t)Val;
-        }
-
-        template <typename FirstT, typename... RestT>
-        inline constexpr std::uint64_t get_type_combination_id(FirstT FirstVal,
-                                                               RestT... RestVal)
-        {
-            static_assert((std::uint8_t)library_data_t::library_data_t_size <=
-                              std::numeric_limits<unsigned char>::max() &&
-                          "library_data_t size exceeds limit.");
-            static_assert(sizeof...(RestT) <= 8 && "Too many parameters");
-            static_assert(std::is_same_v<FirstT, library_data_t>, "Unsupported FirstT");
-            return get_type_combination_id(RestVal...) << 8 | ((std::uint64_t)FirstVal);
-        }
-
-        class mem_mgr
-        {
-            mem_mgr()
-            {
-                // Reserved address space, no real memory allocation happens here.
-#if defined(__linux__)
-                mapped_address_space =
-                    (byte_t *)mmap(nullptr, mapped_region_size, PROT_NONE,
-                                   MAP_PRIVATE | MAP_ANONYMOUS, -1, 0);
-#elif defined(_WIN64)
-                mapped_address_space = (byte_t *)VirtualAlloc(
-                    NULL,               // NULL specified as the base address parameter
-                    mapped_region_size, // Size of allocation
-                    MEM_RESERVE,        // Allocate reserved pages
-                    PAGE_NOACCESS);     // Protection = no access
-#else
-#error "Only support Windows and Linux."
-#endif
-                next_free = mapped_address_space;
-            };
-
-        public:
-            using buffer_id_t = int;
-
-            struct allocation
-            {
-                buffer_t buffer;
-                byte_t *alloc_ptr;
-                size_t size;
-            };
-
-            ~mem_mgr()
-            {
-#if defined(__linux__)
-                munmap(mapped_address_space, mapped_region_size);
-#elif defined(_WIN64)
-                VirtualFree(mapped_address_space, 0, MEM_RELEASE);
-#else
-#error "Only support Windows and Linux."
-#endif
-            };
-
-            mem_mgr(const mem_mgr &) = delete;
-            mem_mgr &operator=(const mem_mgr &) = delete;
-            mem_mgr(mem_mgr &&) = delete;
-            mem_mgr &operator=(mem_mgr &&) = delete;
-
-            /// Allocate
-            void *mem_alloc(size_t size)
-            {
-                if (!size)
-                    return nullptr;
-                std::lock_guard<std::mutex> lock(m_mutex);
-                if (next_free + size > mapped_address_space + mapped_region_size)
-                {
-                    throw std::runtime_error("dpct_malloc: out of memory for virtual memory pool");
-                }
-                // Allocation
-                sycl::range<1> r(size);
-                buffer_t buf(r);
-                allocation A{buf, next_free, size};
-                // Map allocation to device pointer
-                void *result = next_free;
-                m_map.emplace(next_free + size, A);
-                // Update pointer to the next free space.
-                next_free += (size + extra_padding + alignment - 1) & ~(alignment - 1);
-
-                return result;
-            }
-
-            /// Deallocate
-            void mem_free(const void *ptr)
-            {
-                if (!ptr)
-                    return;
-                std::lock_guard<std::mutex> lock(m_mutex);
-                auto it = get_map_iterator(ptr);
-                m_map.erase(it);
-            }
-
-            /// map: device pointer -> allocation(buffer, alloc_ptr, size)
-            allocation translate_ptr(const void *ptr)
-            {
-                std::lock_guard<std::mutex> lock(m_mutex);
-                auto it = get_map_iterator(ptr);
-                return it->second;
-            }
-
-            /// Check if the pointer represents device pointer or not.
-            bool is_device_ptr(const void *ptr) const
-            {
-                std::lock_guard<std::mutex> lock(m_mutex);
-                return (mapped_address_space <= ptr) &&
-                       (ptr < mapped_address_space + mapped_region_size);
-            }
-
-            /// Returns the instance of memory manager singleton.
-            static mem_mgr &instance()
-            {
-                static mem_mgr m;
-                return m;
-            }
-
-        private:
-            std::map<byte_t *, allocation> m_map;
-            mutable std::mutex m_mutex;
-            byte_t *mapped_address_space;
-            byte_t *next_free;
-            const size_t mapped_region_size = 128ull * 1024 * 1024 * 1024;
-            const size_t alignment = 256;
-            /// This padding may be defined to some positive value to debug
-            /// out of bound accesses.
-            const size_t extra_padding = 0;
-
-            std::map<byte_t *, allocation>::iterator get_map_iterator(const void *ptr)
-            {
-                auto it = m_map.upper_bound((byte_t *)ptr);
-                if (it == m_map.end())
-                {
-                    // Not a virtual pointer.
-                    throw std::runtime_error("can not get buffer from non-virtual pointer");
-                }
-                const allocation &alloc = it->second;
-                if (ptr < alloc.alloc_ptr)
-                {
-                    // Out of bound.
-                    // This may happen if there's a gap between allocations due to alignment
-                    // or extra padding and pointer points to this gap.
-                    throw std::runtime_error("invalid virtual pointer");
-                }
-                return it;
-            }
-        };
-
-        template <class T, memory_region Memory, size_t Dimension>
-        class accessor;
-        template <memory_region Memory, class T = byte_t>
-        class memory_traits
-        {
-        public:
-            static constexpr sycl::access::target target =
-                sycl::access::target::device;
-            static constexpr sycl::access_mode mode =
-                (Memory == constant) ? sycl::access_mode::read
-                                     : sycl::access_mode::read_write;
-            static constexpr size_t type_size = sizeof(T);
-            using element_t =
-                typename std::conditional<Memory == constant, const T, T>::type;
-            using value_t = typename std::remove_cv<T>::type;
-            template <size_t Dimension = 1>
-            using accessor_t = typename std::conditional<
-                Memory == local, sycl::local_accessor<value_t, Dimension>,
-                sycl::accessor<T, Dimension, mode, target>>::type;
-            using pointer_t = T *;
-        };
-
-        static inline void *dpct_malloc(size_t size, sycl::queue &q)
-        {
-            return sycl::malloc_device(size, q.get_device(), q.get_context());
-        }
-
-#define PITCH_DEFAULT_ALIGN(x) (((x) + 31) & ~(0x1F))
-        static inline void *dpct_malloc(size_t &pitch, size_t x, size_t y, size_t z,
-                                        sycl::queue &q)
-        {
-            pitch = PITCH_DEFAULT_ALIGN(x);
-            return dpct_malloc(pitch * y * z, q);
-        }
-
-        /**
-         * @brief Sets \p value to the first \p size elements starting from \p dev_ptr in \p q.
-         * @tparam valueT The type of the element to be set.
-         * @param [in] q The queue in which the operation is done.
-         * @param [in] dev_ptr Pointer to the virtual device memory address.
-         * @param [in] value The value to be set.
-         * @param [in] size Number of elements to be set to the value.
-         * @return An event representing the memset operation.
-         */
-        template <typename valueT>
-        static inline sycl::event dpct_memset(sycl::queue &q, void *dev_ptr,
-                                              valueT value, size_t size)
-        {
-            return q.fill(dev_ptr, value, size);
-        }
-
-        /**
-         * @brief Sets \p value to the 3D memory region pointed by \p data in \p q.
-         * @tparam valueT The type of the element to be set.
-         * @param [in] q The queue in which the operation is done.
-         * @param [in] data Pointer to the pitched device memory region.
-         * @param [in] value The value to be set.
-         * @param [in] size 3D memory region by number of elements.
-         * @return An event list representing the memset operations.
-         */
-        template <typename valueT>
-        static inline std::vector<sycl::event>
-        dpct_memset(sycl::queue &q, pitched_data data, valueT value,
-                    sycl::range<3> size)
-        {
-            std::vector<sycl::event> event_list;
-            size_t slice = data.get_pitch() * data.get_y();
-            unsigned char *data_surface = (unsigned char *)data.get_data_ptr();
-            for (size_t z = 0; z < size.get(2); ++z)
-            {
-                unsigned char *data_ptr = data_surface;
-                for (size_t y = 0; y < size.get(1); ++y)
-                {
-                    event_list.push_back(dpct_memset(q, data_ptr, value, size.get(0)));
-                    data_ptr += data.get_pitch();
-                }
-                data_surface += slice;
-            }
-            return event_list;
-        }
-
-        /**
-         * @brief Sets \p val to the pitched 2D memory region pointed by \p ptr in \p q.
-         * @tparam valueT The type of the element to be set.
-         * @param [in] q The queue in which the operation is done.
-         * @param [in] ptr Pointer to the virtual device memory.
-         * @param [in] pitch The pitch size by number of elements, including padding.
-         * @param [in] val The value to be set.
-         * @param [in] x The width of memory region by number of elements.
-         * @param [in] y The height of memory region by number of elements.
-         * @return An event list representing the memset operations.
-         */
-        template <typename valueT>
-        static inline std::vector<sycl::event>
-        dpct_memset(sycl::queue &q, void *ptr, size_t pitch, valueT val, size_t x,
-                    size_t y)
-        {
-            return dpct_memset(q, pitched_data(ptr, pitch, x, 1), val,
-                               sycl::range<3>(x, y, 1));
-        }
-
-        static memcpy_direction deduce_memcpy_direction(sycl::queue &q, void *to_ptr,
-                                                        const void *from_ptr,
-                                                        memcpy_direction dir)
-        {
-            switch (dir)
-            {
-            case memcpy_direction::host_to_host:
-            case memcpy_direction::host_to_device:
-            case memcpy_direction::device_to_host:
-            case memcpy_direction::device_to_device:
-                return dir;
-            case memcpy_direction::automatic:
-            {
-                // table[to_attribute][from_attribute]
-                static const memcpy_direction
-                    direction_table[static_cast<unsigned>(pointer_access_attribute::end)]
-                                   [static_cast<unsigned>(pointer_access_attribute::end)] =
-                                       {{memcpy_direction::host_to_host,
-                                         memcpy_direction::device_to_host,
-                                         memcpy_direction::host_to_host},
-                                        {memcpy_direction::host_to_device,
-                                         memcpy_direction::device_to_device,
-                                         memcpy_direction::device_to_device},
-                                        {memcpy_direction::host_to_host,
-                                         memcpy_direction::device_to_device,
-                                         memcpy_direction::device_to_device}};
-                return direction_table[static_cast<unsigned>(get_pointer_attribute(
-                    q, to_ptr))][static_cast<unsigned>(get_pointer_attribute(q, from_ptr))];
-            }
-            default:
-                throw std::runtime_error("dpct_memcpy: invalid direction value");
-            }
-        }
-
-        static sycl::event
-        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size,
-                    memcpy_direction direction,
-                    const std::vector<sycl::event> &dep_events = {})
-        {
-            if (!size)
-                return sycl::event{};
-            return q.memcpy(to_ptr, from_ptr, size, dep_events);
-            GGML_UNUSED(direction);
-        }
-
-        // Get actual copy range and make sure it will not exceed range.
-        static inline size_t get_copy_range(sycl::range<3> size, size_t slice,
-                                            size_t pitch)
-        {
-            return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0);
-        }
-
-        static inline size_t get_offset(sycl::id<3> id, size_t slice,
-                                        size_t pitch)
-        {
-            return slice * id.get(2) + pitch * id.get(1) + id.get(0);
-        }
-
-        /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr
-        /// and \p from_range to another specified by \p to_ptr and \p to_range.
-        static inline std::vector<sycl::event>
-        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
-                    sycl::range<3> to_range, sycl::range<3> from_range,
-                    sycl::id<3> to_id, sycl::id<3> from_id,
-                    sycl::range<3> size, memcpy_direction direction,
-                    const std::vector<sycl::event> &dep_events = {})
-        {
-            // RAII for host pointer
-            class host_buffer
-            {
-                void *_buf;
-                size_t _size;
-                sycl::queue &_q;
-                const std::vector<sycl::event> &_deps; // free operation depends
-
-            public:
-                host_buffer(size_t size, sycl::queue &q,
-                            const std::vector<sycl::event> &deps)
-                    : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {}
-                void *get_ptr() const { return _buf; }
-                size_t get_size() const { return _size; }
-                ~host_buffer()
-                {
-                    if (_buf)
-                    {
-                        _q.submit([&](sycl::handler &cgh)
-                                  {
-        cgh.depends_on(_deps);
-        cgh.host_task([buf = _buf] { std::free(buf); }); });
-                    }
-                }
-            };
-            std::vector<sycl::event> event_list;
-
-            size_t to_slice = to_range.get(1) * to_range.get(0),
-                   from_slice = from_range.get(1) * from_range.get(0);
-            unsigned char *to_surface =
-                (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0));
-            const unsigned char *from_surface =
-                (const unsigned char *)from_ptr +
-                get_offset(from_id, from_slice, from_range.get(0));
-
-            if (to_slice == from_slice && to_slice == size.get(1) * size.get(0))
-            {
-                return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2),
-                                    direction, dep_events)};
-            }
-            direction = deduce_memcpy_direction(q, to_ptr, from_ptr, direction);
-            size_t size_slice = size.get(1) * size.get(0);
-            switch (direction)
-            {
-            case host_to_host:
-                for (size_t z = 0; z < size.get(2); ++z)
-                {
-                    unsigned char *to_ptr = to_surface;
-                    const unsigned char *from_ptr = from_surface;
-                    if (to_range.get(0) == from_range.get(0) &&
-                        to_range.get(0) == size.get(0))
-                    {
-                        event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice,
-                                                         direction, dep_events));
-                    }
-                    else
-                    {
-                        for (size_t y = 0; y < size.get(1); ++y)
-                        {
-                            event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0),
-                                                             direction, dep_events));
-                            to_ptr += to_range.get(0);
-                            from_ptr += from_range.get(0);
-                        }
-                    }
-                    to_surface += to_slice;
-                    from_surface += from_slice;
-                }
-                break;
-            case host_to_device:
-            {
-                host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q,
-                                event_list);
-                std::vector<sycl::event> host_events;
-                if (to_slice == size_slice)
-                {
-                    // Copy host data to a temp host buffer with the shape of target.
-                    host_events =
-                        dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range,
-                                    sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size,
-                                    host_to_host, dep_events);
-                }
-                else
-                {
-                    // Copy host data to a temp host buffer with the shape of target.
-                    host_events = dpct_memcpy(
-                        q, buf.get_ptr(), from_surface, to_range, from_range,
-                        sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host,
-                        // If has padding data, not sure whether it is useless. So fill temp
-                        // buffer with it.
-                        std::vector<sycl::event>{
-                            dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(),
-                                        device_to_host, dep_events)});
-                }
-                // Copy from temp host buffer to device with only one submit.
-                event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(),
-                                                 buf.get_size(), host_to_device,
-                                                 host_events));
-                break;
-            }
-            case device_to_host:
-            {
-                host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q,
-                                event_list);
-                // Copy from host temp buffer to host target with reshaping.
-                event_list = dpct_memcpy(
-                    q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0),
-                    sycl::id<3>(0, 0, 0), size, host_to_host,
-                    // Copy from device to temp host buffer with only one submit.
-                    std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface,
-                                                         buf.get_size(),
-                                                         device_to_host, dep_events)});
-                break;
-            }
-            case device_to_device:
-                event_list.push_back(q.submit([&](sycl::handler &cgh){
-                cgh.depends_on(dep_events);
-                cgh.parallel_for<class dpct_memcpy_3d_detail>(
-                    size,
-                    [=](sycl::id<3> id) {
-                        to_surface[get_offset(id, to_slice, to_range.get(0))] =
-                            from_surface[get_offset(id, from_slice, from_range.get(0))];
-                    }); }));
-                break;
-            default:
-                throw std::runtime_error("dpct_memcpy: invalid direction value");
-            }
-            return event_list;
-        }
-
-        /// memcpy 2D/3D matrix specified by pitched_data.
-        static inline std::vector<sycl::event>
-        dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id,
-                    pitched_data from, sycl::id<3> from_id, sycl::range<3> size,
-                    memcpy_direction direction = automatic)
-        {
-            return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(),
-                               sycl::range<3>(to.get_pitch(), to.get_y(), 1),
-                               sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id,
-                               size, direction);
-        }
-
-        /// memcpy 2D matrix with pitch.
-        static inline std::vector<sycl::event>
-        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
-                    size_t to_pitch, size_t from_pitch, size_t x, size_t y,
-                    memcpy_direction direction = automatic)
-        {
-            return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1),
-                               sycl::range<3>(from_pitch, y, 1),
-                               sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0),
-                               sycl::range<3>(x, y, 1), direction);
-        }
-
-        namespace deprecated
-        {
-
-            template <typename T, sycl::usm::alloc AllocKind>
-            class usm_allocator
-            {
-            private:
-                using Alloc = sycl::usm_allocator<T, AllocKind>;
-                Alloc _impl;
-
-            public:
-                using value_type = typename std::allocator_traits<Alloc>::value_type;
-                using pointer = typename std::allocator_traits<Alloc>::pointer;
-                using const_pointer = typename std::allocator_traits<Alloc>::const_pointer;
-                using void_pointer = typename std::allocator_traits<Alloc>::void_pointer;
-                using const_void_pointer =
-                    typename std::allocator_traits<Alloc>::const_void_pointer;
-                using reference = typename std::allocator_traits<Alloc>::value_type &;
-                using const_reference =
-                    const typename std::allocator_traits<Alloc>::value_type &;
-                using difference_type =
-                    typename std::allocator_traits<Alloc>::difference_type;
-                using size_type = typename std::allocator_traits<Alloc>::size_type;
-                using propagate_on_container_copy_assignment = typename std::allocator_traits<
-                    Alloc>::propagate_on_container_copy_assignment;
-                using propagate_on_container_move_assignment = typename std::allocator_traits<
-                    Alloc>::propagate_on_container_move_assignment;
-                using propagate_on_container_swap =
-                    typename std::allocator_traits<Alloc>::propagate_on_container_swap;
-                using is_always_equal =
-                    typename std::allocator_traits<Alloc>::is_always_equal;
-
-                template <typename U>
-                struct rebind
-                {
-                    typedef usm_allocator<U, AllocKind> other;
-                };
-
-                usm_allocator() : _impl(dpct::get_default_queue()) {}
-                ~usm_allocator() {}
-                usm_allocator(const usm_allocator &other) : _impl(other._impl) {}
-                usm_allocator(usm_allocator &&other) : _impl(std::move(other._impl)) {}
-                pointer address(reference r) { return &r; }
-                const_pointer address(const_reference r) { return &r; }
-                pointer allocate(size_type cnt, const_void_pointer hint = nullptr)
-                {
-                    return std::allocator_traits<Alloc>::allocate(_impl, cnt, hint);
-                }
-                void deallocate(pointer p, size_type cnt)
-                {
-                    std::allocator_traits<Alloc>::deallocate(_impl, p, cnt);
-                }
-                size_type max_size() const
-                {
-                    return std::allocator_traits<Alloc>::max_size(_impl);
-                }
-                bool operator==(const usm_allocator &other) const { return _impl == other._impl; }
-                bool operator!=(const usm_allocator &other) const { return _impl != other._impl; }
-            };
-
-        } // namespace deprecated
-
-        inline void dpct_free(void *ptr,
-                              const sycl::queue &q)
-        {
-            if (ptr)
-            {
-                sycl::free(ptr, q.get_context());
-            }
-        }
-
-        template <typename T>
-        inline auto get_memory(const void *x)
-        {
-            T *new_x = reinterpret_cast<T *>(const_cast<void *>(x));
-            return new_x;
-        }
-
-        template <typename T>
-        inline typename DataType<T>::T2 get_value(const T *s, sycl::queue &q)
-        {
-            using Ty = typename DataType<T>::T2;
-            Ty s_h;
-            if (get_pointer_attribute(q, s) == pointer_access_attribute::device_only)
-                detail::dpct_memcpy(q, (void *)&s_h, (const void *)s, sizeof(T), device_to_host)
-                    .wait();
-            else
-                s_h = *reinterpret_cast<const Ty *>(s);
-            return s_h;
-        }
-
-    } // namespace detail
-
-    template <typename T>
-    inline auto get_value(const T *s, sycl::queue &q)
-    {
-        return detail::get_value(s, q);
-    }
-
-    namespace detail
-    {
-        template <class Ta, class Tb, class Tc, class Ts>
-        inline void gemm_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                              oneapi::mkl::transpose b_trans, int m, int n, int k,
-                              const void *alpha, const void *a, int lda, const void *b,
-                              int ldb, const void *beta, void *c, int ldc)
-        {
-            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
-            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
-            auto data_a = get_memory<const Ta>(a);
-            auto data_b = get_memory<const Tb>(b);
-            auto data_c = get_memory<Tc>(c);
-            oneapi::mkl::blas::column_major::gemm(
-                q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda,
-                data_b, ldb, beta_value, data_c, ldc);
-        }
-
-        template <typename VecT, class BinaryOperation, class = void>
-        class vectorized_binary
-        {
-        public:
-            inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op)
-            {
-                VecT v4;
-                for (size_t i = 0; i < v4.size(); ++i)
-                {
-                    v4[i] = binary_op(a[i], b[i]);
-                }
-                return v4;
-            }
-        };
-
-        template <typename VecT, class BinaryOperation>
-        class vectorized_binary<
-            VecT, BinaryOperation,
-            std::void_t<std::invoke_result_t<BinaryOperation, VecT, VecT>>>
-        {
-        public:
-            inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op)
-            {
-                return binary_op(a, b).template as<VecT>();
-            }
-        };
-
-        template <class Ta, class Tb, class Tc, class Ts>
-        inline void gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                                    oneapi::mkl::transpose b_trans, int m, int n, int k,
-                                    const void *alpha, const void **a, int lda,
-                                    const void **b, int ldb, const void *beta, void **c,
-                                    int ldc, int batch_size)
-        {
-            struct matrix_info_t
-            {
-                oneapi::mkl::transpose transpose_info[2];
-                Ts value_info[2];
-                std::int64_t size_info[3];
-                std::int64_t ld_info[3];
-                std::int64_t groupsize_info;
-            };
-
-            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
-            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
-
-            matrix_info_t *matrix_info =
-                (matrix_info_t *)std::malloc(sizeof(matrix_info_t));
-            matrix_info->transpose_info[0] = a_trans;
-            matrix_info->transpose_info[1] = b_trans;
-            matrix_info->value_info[0] = alpha_value;
-            matrix_info->value_info[1] = beta_value;
-            matrix_info->size_info[0] = m;
-            matrix_info->size_info[1] = n;
-            matrix_info->size_info[2] = k;
-            matrix_info->ld_info[0] = lda;
-            matrix_info->ld_info[1] = ldb;
-            matrix_info->ld_info[2] = ldc;
-            matrix_info->groupsize_info = batch_size;
-
-            sycl::event e = oneapi::mkl::blas::column_major::gemm_batch(
-                q, matrix_info->transpose_info, matrix_info->transpose_info + 1,
-                matrix_info->size_info, matrix_info->size_info + 1,
-                matrix_info->size_info + 2, matrix_info->value_info,
-                reinterpret_cast<const Ta **>(a), matrix_info->ld_info,
-                reinterpret_cast<const Tb **>(b), matrix_info->ld_info + 1,
-                matrix_info->value_info + 1, reinterpret_cast<Tc **>(c),
-                matrix_info->ld_info + 2, 1, &(matrix_info->groupsize_info));
-
-            q.submit([&](sycl::handler &cgh)
-                     {
-    cgh.depends_on(e);
-    cgh.host_task([=] { std::free(matrix_info); }); });
-        }
-
-        template <class Ta, class Tb, class Tc, class Ts>
-        inline void
-        gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                        oneapi::mkl::transpose b_trans, int m, int n,
-                        int k, const void *alpha, const void *a, int lda,
-                        long long int stride_a, const void *b, int ldb,
-                        long long int stride_b, const void *beta, void *c,
-                        int ldc, long long int stride_c, int batch_size)
-        {
-            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
-            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
-            auto data_a = get_memory<const Ta>(a);
-            auto data_b = get_memory<const Tb>(b);
-            auto data_c = get_memory<Tc>(c);
-            oneapi::mkl::blas::column_major::gemm_batch(
-                q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda,
-                stride_a, data_b, ldb, stride_b, beta_value,
-                data_c, ldc, stride_c, batch_size);
-        }
-
-    } // namespace detail
-
-    template <typename VecT, class BinaryOperation>
-    inline unsigned vectorized_binary(unsigned a, unsigned b,
-                                      const BinaryOperation binary_op)
-    {
-        sycl::vec<unsigned, 1> v0{a}, v1{b};
-        auto v2 = v0.as<VecT>();
-        auto v3 = v1.as<VecT>();
-        auto v4 =
-            detail::vectorized_binary<VecT, BinaryOperation>()(v2, v3, binary_op);
-        v0 = v4.template as<sycl::vec<unsigned, 1>>();
-        return v0;
-    }
-
-    static void async_dpct_memcpy(void *to_ptr, const void *from_ptr, size_t size,
-                                  memcpy_direction direction = automatic,
-                                  sycl::queue &q = dpct::get_default_queue())
-    {
-        detail::dpct_memcpy(q, to_ptr, from_ptr, size, direction);
-    }
-
-    static inline unsigned int select_device(unsigned int id)
-    {
-        dev_mgr::instance().select_device(id);
-        return id;
-    }
-
-    template <typename T>
-    T permute_sub_group_by_xor(sycl::sub_group g, T x, unsigned int mask,
-                               unsigned int logical_sub_group_size = 32)
-    {
-        unsigned int id = g.get_local_linear_id();
-        unsigned int start_index =
-            id / logical_sub_group_size * logical_sub_group_size;
-        unsigned int target_offset = (id % logical_sub_group_size) ^ mask;
-        return sycl::select_from_group(g, x,
-                                       target_offset < logical_sub_group_size
-                                           ? start_index + target_offset
-                                           : id);
-    }
-
-    template <typename T>
-    sycl::vec<T, 4> extract_and_sign_or_zero_extend4(T val)
-    {
-        return sycl::vec<T, 1>(val)
-            .template as<sycl::vec<
-                std::conditional_t<std::is_signed_v<T>, int8_t, uint8_t>, 4>>()
-            .template convert<T>();
-    }
-
-    template <typename T1, typename T2>
-    using dot_product_acc_t =
-        std::conditional_t<std::is_unsigned_v<T1> && std::is_unsigned_v<T2>,
-                           uint32_t, int32_t>;
-
-    template <typename T1, typename T2, typename T3>
-    inline auto dp4a(T1 a, T2 b, T3 c)
-    {
-        dot_product_acc_t<T1, T2> res = c;
-        auto va = extract_and_sign_or_zero_extend4(a);
-        auto vb = extract_and_sign_or_zero_extend4(b);
-        res += va[0] * vb[0];
-        res += va[1] * vb[1];
-        res += va[2] * vb[2];
-        res += va[3] * vb[3];
-        return res;
-    }
-
-    struct sub_sat
-    {
-        template <typename T>
-        auto operator()(const T x, const T y) const
-        {
-            return sycl::sub_sat(x, y);
-        }
-    };
-
-    template <typename S, typename T>
-    inline T vectorized_min(T a, T b)
-    {
-        sycl::vec<T, 1> v0{a}, v1{b};
-        auto v2 = v0.template as<S>();
-        auto v3 = v1.template as<S>();
-        auto v4 = sycl::min(v2, v3);
-        v0 = v4.template as<sycl::vec<T, 1>>();
-        return v0;
-    }
-
-    inline float pow(const float a, const int b) { return sycl::pown(a, b); }
-    inline double pow(const double a, const int b) { return sycl::pown(a, b); }
-    inline float pow(const float a, const float b) { return sycl::pow(a, b); }
-    inline double pow(const double a, const double b) { return sycl::pow(a, b); }
-    template <typename T, typename U>
-    inline typename std::enable_if_t<std::is_floating_point_v<T>, T>
-    pow(const T a, const U b)
-    {
-        return sycl::pow(a, static_cast<T>(b));
-    }
-    template <typename T, typename U>
-    inline typename std::enable_if_t<!std::is_floating_point_v<T>, double>
-    pow(const T a, const U b)
-    {
-        return sycl::pow(static_cast<double>(a), static_cast<double>(b));
-    }
-
-    inline double min(const double a, const float b)
-    {
-        return sycl::fmin(a, static_cast<double>(b));
-    }
-    inline double min(const float a, const double b)
-    {
-        return sycl::fmin(static_cast<double>(a), b);
-    }
-    inline float min(const float a, const float b) { return sycl::fmin(a, b); }
-    inline double min(const double a, const double b) { return sycl::fmin(a, b); }
-    inline std::uint32_t min(const std::uint32_t a, const std::int32_t b)
-    {
-        return sycl::min(a, static_cast<std::uint32_t>(b));
-    }
-    inline std::uint32_t min(const std::int32_t a, const std::uint32_t b)
-    {
-        return sycl::min(static_cast<std::uint32_t>(a), b);
-    }
-    inline std::int32_t min(const std::int32_t a, const std::int32_t b)
-    {
-        return sycl::min(a, b);
-    }
-    inline std::uint32_t min(const std::uint32_t a, const std::uint32_t b)
-    {
-        return sycl::min(a, b);
-    }
-    inline std::uint64_t min(const std::uint64_t a, const std::int64_t b)
-    {
-        return sycl::min(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t min(const std::int64_t a, const std::uint64_t b)
-    {
-        return sycl::min(static_cast<std::uint64_t>(a), b);
-    }
-    inline std::int64_t min(const std::int64_t a, const std::int64_t b)
-    {
-        return sycl::min(a, b);
-    }
-    inline std::uint64_t min(const std::uint64_t a, const std::uint64_t b)
-    {
-        return sycl::min(a, b);
-    }
-    inline std::uint64_t min(const std::uint64_t a, const std::int32_t b)
-    {
-        return sycl::min(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t min(const std::int32_t a, const std::uint64_t b)
-    {
-        return sycl::min(static_cast<std::uint64_t>(a), b);
-    }
-    inline std::uint64_t min(const std::uint64_t a, const std::uint32_t b)
-    {
-        return sycl::min(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t min(const std::uint32_t a, const std::uint64_t b)
-    {
-        return sycl::min(static_cast<std::uint64_t>(a), b);
-    }
-    // max function overloads.
-    // For floating-point types, `float` or `double` arguments are acceptable.
-    // For integer types, `std::uint32_t`, `std::int32_t`, `std::uint64_t` or
-    // `std::int64_t` type arguments are acceptable.
-    inline double max(const double a, const float b)
-    {
-        return sycl::fmax(a, static_cast<double>(b));
-    }
-    inline double max(const float a, const double b)
-    {
-        return sycl::fmax(static_cast<double>(a), b);
-    }
-    inline float max(const float a, const float b) { return sycl::fmax(a, b); }
-    inline double max(const double a, const double b) { return sycl::fmax(a, b); }
-    inline std::uint32_t max(const std::uint32_t a, const std::int32_t b)
-    {
-        return sycl::max(a, static_cast<std::uint32_t>(b));
-    }
-    inline std::uint32_t max(const std::int32_t a, const std::uint32_t b)
-    {
-        return sycl::max(static_cast<std::uint32_t>(a), b);
-    }
-    inline std::int32_t max(const std::int32_t a, const std::int32_t b)
-    {
-        return sycl::max(a, b);
-    }
-    inline std::uint32_t max(const std::uint32_t a, const std::uint32_t b)
-    {
-        return sycl::max(a, b);
-    }
-    inline std::uint64_t max(const std::uint64_t a, const std::int64_t b)
-    {
-        return sycl::max(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t max(const std::int64_t a, const std::uint64_t b)
-    {
-        return sycl::max(static_cast<std::uint64_t>(a), b);
-    }
-    inline std::int64_t max(const std::int64_t a, const std::int64_t b)
-    {
-        return sycl::max(a, b);
-    }
-    inline std::uint64_t max(const std::uint64_t a, const std::uint64_t b)
-    {
-        return sycl::max(a, b);
-    }
-    inline std::uint64_t max(const std::uint64_t a, const std::int32_t b)
-    {
-        return sycl::max(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t max(const std::int32_t a, const std::uint64_t b)
-    {
-        return sycl::max(static_cast<std::uint64_t>(a), b);
-    }
-    inline std::uint64_t max(const std::uint64_t a, const std::uint32_t b)
-    {
-        return sycl::max(a, static_cast<std::uint64_t>(b));
-    }
-    inline std::uint64_t max(const std::uint32_t a, const std::uint64_t b)
-    {
-        return sycl::max(static_cast<std::uint64_t>(a), b);
-    }
-
-    inline void
-    has_capability_or_fail(const sycl::device &dev,
-                           const std::initializer_list<sycl::aspect> &props)
-    {
-        for (const auto &it : props)
-        {
-            if (dev.has(it))
-                continue;
-            switch (it)
-            {
-            case sycl::aspect::fp64:
-                throw std::runtime_error("'double' is not supported in '" +
-                                         dev.get_info<sycl::info::device::name>() +
-                                         "' device");
-                break;
-            case sycl::aspect::fp16:
-                throw std::runtime_error("'half' is not supported in '" +
-                                         dev.get_info<sycl::info::device::name>() +
-                                         "' device");
-                break;
-            default:
-#define __SYCL_ASPECT(ASPECT, ID) \
-    case sycl::aspect::ASPECT:    \
-        return #ASPECT;
-#define __SYCL_ASPECT_DEPRECATED(ASPECT, ID, MESSAGE) __SYCL_ASPECT(ASPECT, ID)
-#define __SYCL_ASPECT_DEPRECATED_ALIAS(ASPECT, ID, MESSAGE)
-                auto getAspectNameStr = [](sycl::aspect AspectNum) -> std::string
-                {
-                    switch (AspectNum)
-                    {
-#include <sycl/info/aspects.def>
-#include <sycl/info/aspects_deprecated.def>
-                    default:
-                        return "unknown aspect";
-                    }
-                };
-#undef __SYCL_ASPECT_DEPRECATED_ALIAS
-#undef __SYCL_ASPECT_DEPRECATED
-#undef __SYCL_ASPECT
-                throw std::runtime_error(
-                    "'" + getAspectNameStr(it) + "' is not supported in '" +
-                    dev.get_info<sycl::info::device::name>() + "' device");
-            }
-            break;
-        }
-    }
-
-    static inline unsigned int get_current_device_id()
-    {
-        return dev_mgr::instance().current_device_id();
-    }
-
-    static inline device_ext &get_current_device()
-    {
-        return dev_mgr::instance().current_device();
-    }
-
-    static inline sycl::queue &get_in_order_queue()
-    {
-        return dev_mgr::instance().current_device().in_order_queue();
-    }
-
-    static sycl::event
-    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size,
-                memcpy_direction direction,
-                const std::vector<sycl::event> &dep_events = {})
-    {
-        if (!size)
-            return sycl::event{};
-        return q.memcpy(to_ptr, from_ptr, size, dep_events);
-        GGML_UNUSED(direction);
-    }
-
-    // Get actual copy range and make sure it will not exceed range.
-    static inline size_t get_copy_range(sycl::range<3> size, size_t slice,
-                                        size_t pitch)
-    {
-        return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0);
-    }
-
-    static inline size_t get_offset(sycl::id<3> id, size_t slice,
-                                    size_t pitch)
-    {
-        return slice * id.get(2) + pitch * id.get(1) + id.get(0);
-    }
-
-    /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr
-    /// and \p from_range to another specified by \p to_ptr and \p to_range.
-    static inline std::vector<sycl::event>
-    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
-                sycl::range<3> to_range, sycl::range<3> from_range,
-                sycl::id<3> to_id, sycl::id<3> from_id,
-                sycl::range<3> size, memcpy_direction direction,
-                const std::vector<sycl::event> &dep_events = {})
-    {
-        // RAII for host pointer
-        class host_buffer
-        {
-            void *_buf;
-            size_t _size;
-            sycl::queue &_q;
-            const std::vector<sycl::event> &_deps; // free operation depends
-
-        public:
-            host_buffer(size_t size, sycl::queue &q,
-                        const std::vector<sycl::event> &deps)
-                : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {}
-            void *get_ptr() const { return _buf; }
-            size_t get_size() const { return _size; }
-            ~host_buffer()
-            {
-                if (_buf)
-                {
-                    _q.submit([&](sycl::handler &cgh)
-                              {
-            cgh.depends_on(_deps);
-            cgh.host_task([buf = _buf] { std::free(buf); }); });
-                }
-            }
-        };
-        std::vector<sycl::event> event_list;
-
-        size_t to_slice = to_range.get(1) * to_range.get(0),
-               from_slice = from_range.get(1) * from_range.get(0);
-        unsigned char *to_surface =
-            (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0));
-        const unsigned char *from_surface =
-            (const unsigned char *)from_ptr +
-            get_offset(from_id, from_slice, from_range.get(0));
-
-        if (to_slice == from_slice && to_slice == size.get(1) * size.get(0))
-        {
-            return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2),
-                                direction, dep_events)};
-        }
-        direction = detail::deduce_memcpy_direction(q, to_ptr, from_ptr, direction);
-        size_t size_slice = size.get(1) * size.get(0);
-        switch (direction)
-        {
-        case host_to_host:
-            for (size_t z = 0; z < size.get(2); ++z)
-            {
-                unsigned char *to_ptr = to_surface;
-                const unsigned char *from_ptr = from_surface;
-                if (to_range.get(0) == from_range.get(0) &&
-                    to_range.get(0) == size.get(0))
-                {
-                    event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice,
-                                                     direction, dep_events));
-                }
-                else
-                {
-                    for (size_t y = 0; y < size.get(1); ++y)
-                    {
-                        event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0),
-                                                         direction, dep_events));
-                        to_ptr += to_range.get(0);
-                        from_ptr += from_range.get(0);
-                    }
-                }
-                to_surface += to_slice;
-                from_surface += from_slice;
-            }
-            break;
-        case host_to_device:
-        {
-            host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q,
-                            event_list);
-            std::vector<sycl::event> host_events;
-            if (to_slice == size_slice)
-            {
-                // Copy host data to a temp host buffer with the shape of target.
-                host_events =
-                    dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range,
-                                sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size,
-                                host_to_host, dep_events);
-            }
-            else
-            {
-                // Copy host data to a temp host buffer with the shape of target.
-                host_events = dpct_memcpy(
-                    q, buf.get_ptr(), from_surface, to_range, from_range,
-                    sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host,
-                    // If has padding data, not sure whether it is useless. So fill temp
-                    // buffer with it.
-                    std::vector<sycl::event>{
-                        dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(),
-                                    device_to_host, dep_events)});
-            }
-            // Copy from temp host buffer to device with only one submit.
-            event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(),
-                                             buf.get_size(), host_to_device,
-                                             host_events));
-            break;
-        }
-        case device_to_host:
-        {
-            host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q,
-                            event_list);
-            // Copy from host temp buffer to host target with reshaping.
-            event_list = dpct_memcpy(
-                q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0),
-                sycl::id<3>(0, 0, 0), size, host_to_host,
-                // Copy from device to temp host buffer with only one submit.
-                std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface,
-                                                     buf.get_size(),
-                                                     device_to_host, dep_events)});
-            break;
-        }
-        case device_to_device:
-            event_list.push_back(q.submit([&](sycl::handler &cgh)
-                                          {
-        cgh.depends_on(dep_events);
-        cgh.parallel_for<class dpct_memcpy_3d_detail>(
-            size,
-            [=](sycl::id<3> id) {
-                to_surface[get_offset(id, to_slice, to_range.get(0))] =
-                    from_surface[get_offset(id, from_slice, from_range.get(0))];
-            }); }));
-        break;
-        default:
-            throw std::runtime_error("dpct_memcpy: invalid direction value");
-        }
-        return event_list;
-    }
-
-    /// memcpy 2D/3D matrix specified by pitched_data.
-    static inline std::vector<sycl::event>
-    dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id,
-                pitched_data from, sycl::id<3> from_id, sycl::range<3> size,
-                memcpy_direction direction = automatic)
-    {
-        return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(),
-                           sycl::range<3>(to.get_pitch(), to.get_y(), 1),
-                           sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id,
-                           size, direction);
-    }
-
-    /// memcpy 2D matrix with pitch.
-    static inline std::vector<sycl::event>
-    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
-                size_t to_pitch, size_t from_pitch, size_t x, size_t y,
-                memcpy_direction direction = automatic)
-    {
-        return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1),
-                           sycl::range<3>(from_pitch, y, 1),
-                           sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0),
-                           sycl::range<3>(x, y, 1), direction);
-    }
-
-    inline void gemm(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                     oneapi::mkl::transpose b_trans, int m, int n, int k,
-                     const void *alpha, const void *a, library_data_t a_type,
-                     int lda, const void *b, library_data_t b_type, int ldb,
-                     const void *beta, void *c, library_data_t c_type, int ldc,
-                     library_data_t scaling_type)
-    {
-        if (scaling_type == library_data_t::real_float &&
-            c_type == library_data_t::complex_float)
-        {
-            scaling_type = library_data_t::complex_float;
-        }
-        else if (scaling_type == library_data_t::real_double &&
-                 c_type == library_data_t::complex_double)
-        {
-            scaling_type = library_data_t::complex_double;
-        }
-
-        std::uint64_t key =
-            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
-        switch (key)
-        {
-        case detail::get_type_combination_id(
-            library_data_t::real_float, library_data_t::real_float,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_impl<float, float, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_double, library_data_t::real_double,
-            library_data_t::real_double, library_data_t::real_double):
-        {
-            detail::gemm_impl<double, double, double, double>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_float, library_data_t::complex_float,
-            library_data_t::complex_float, library_data_t::complex_float):
-        {
-            detail::gemm_impl<std::complex<float>, std::complex<float>,
-                              std::complex<float>, std::complex<float>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_double, library_data_t::complex_double,
-            library_data_t::complex_double, library_data_t::complex_double):
-        {
-            detail::gemm_impl<std::complex<double>, std::complex<double>,
-                              std::complex<double>, std::complex<double>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_half):
-        {
-            detail::gemm_impl<sycl::half, sycl::half, sycl::half,
-                              sycl::half>(q, a_trans, b_trans, m, n, k, alpha, a,
-                                          lda, b, ldb, beta, c, ldc);
-            break;
-        }
-#ifdef __INTEL_MKL__
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
-                              float>(q, a_trans, b_trans, m, n, k, alpha, a, lda, b,
-                                     ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_impl<sycl::half, sycl::half, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_float):
-        {
-            float alpha_value =
-                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
-            float beta_value =
-                dpct::get_value(reinterpret_cast<const float *>(beta), q);
-            sycl::half alpha_half(alpha_value);
-            sycl::half beta_half(beta_value);
-            detail::gemm_impl<sycl::half, sycl::half, sycl::half,
-                              sycl::half>(q, a_trans, b_trans, m, n, k, &alpha_half,
-                                          a, lda, b, ldb, &beta_half, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_impl<std::int8_t, std::int8_t, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_bfloat16, library_data_t::real_float):
-        {
-            detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
-                              oneapi::mkl::bfloat16, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_int32, library_data_t::real_int32):
-        {
-            float alpha_float =
-                dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q);
-            float beta_float =
-                dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q);
-            detail::gemm_impl<std::int8_t, std::int8_t, std::int32_t, float>(
-                q, a_trans, b_trans, m, n, k, &alpha_float, a, lda, b, ldb, &beta_float, c, ldc);
-            break;
-        }
-#endif // __INTEL_MKL__
-        default:
-            throw std::runtime_error("the combination of data type is unsupported");
-        }
-    } // gemm()
-
-    /// Computes a batch of matrix-matrix product with general matrices.
-    /// \param [in] q The queue where the routine should be executed.
-    /// \param [in] a_trans Specifies the operation applied to A.
-    /// \param [in] b_trans Specifies the operation applied to B.
-    /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C.
-    /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C.
-    /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B).
-    /// \param [in] alpha Scaling factor for the matrix-matrix product.
-    /// \param [in] a Input matrix A.
-    /// \param [in] a_type Data type of the matrix A.
-    /// \param [in] lda Leading dimension of A.
-    /// \param [in] b Input matrix B.
-    /// \param [in] b_type Data type of the matrix B.
-    /// \param [in] ldb Leading dimension of B.
-    /// \param [in] beta Scaling factor for matrix C.
-    /// \param [in, out] c Input/Output matrix C.
-    /// \param [in] c_type Data type of the matrix C.
-    /// \param [in] ldc Leading dimension of C.
-    /// \param [in] batch_size Specifies the number of matrix multiply operations to perform.
-    /// \param [in] scaling_type Data type of the scaling factors.
-    inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                           oneapi::mkl::transpose b_trans, int m, int n, int k,
-                           const void *alpha, const void *a[],
-                           library_data_t a_type, int lda, const void *b[],
-                           library_data_t b_type, int ldb, const void *beta,
-                           void *c[], library_data_t c_type, int ldc,
-                           int batch_size, library_data_t scaling_type)
-    {
-        if (scaling_type == library_data_t::real_float &&
-            c_type == library_data_t::complex_float)
-        {
-            scaling_type = library_data_t::complex_float;
-        }
-        else if (scaling_type == library_data_t::real_double &&
-                 c_type == library_data_t::complex_double)
-        {
-            scaling_type = library_data_t::complex_double;
-        }
-
-        std::uint64_t key =
-            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
-        switch (key)
-        {
-        case detail::get_type_combination_id(
-            library_data_t::real_float, library_data_t::real_float,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<float, float, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_double, library_data_t::real_double,
-            library_data_t::real_double, library_data_t::real_double):
-        {
-            detail::gemm_batch_impl<double, double, double, double>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_float, library_data_t::complex_float,
-            library_data_t::complex_float, library_data_t::complex_float):
-        {
-            detail::gemm_batch_impl<std::complex<float>, std::complex<float>,
-                                    std::complex<float>, std::complex<float>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_double, library_data_t::complex_double,
-            library_data_t::complex_double, library_data_t::complex_double):
-        {
-            detail::gemm_batch_impl<std::complex<double>, std::complex<double>,
-                                    std::complex<double>, std::complex<double>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_half):
-        {
-            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half,
-                                    sycl::half>(q, a_trans, b_trans, m, n, k, alpha,
-                                                a, lda, b, ldb, beta, c, ldc,
-                                                batch_size);
-            break;
-        }
-#ifdef __INTEL_MKL__
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_bfloat16, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
-                                    oneapi::mkl::bfloat16, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
-                                    float>(q, a_trans, b_trans, m, n, k, alpha, a, lda,
-                                           b, ldb, beta, c, ldc, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_int32, library_data_t::real_int32):
-        {
-            float alpha_float =
-                dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q);
-            float beta_float =
-                dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q);
-            detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t,
-                                    float>(q, a_trans, b_trans, m, n, k, &alpha_float,
-                                           a, lda, b, ldb, &beta_float, c, ldc,
-                                           batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<sycl::half, sycl::half, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
-                batch_size);
-            break;
-        }
-#endif
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_float):
-        {
-            float alpha_value =
-                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
-            float beta_value =
-                dpct::get_value(reinterpret_cast<const float *>(beta), q);
-            sycl::half alpha_half(alpha_value);
-            sycl::half beta_half(beta_value);
-            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>(
-                q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, b, ldb, &beta_half, c, ldc,
-                batch_size);
-            break;
-        }
-        default:
-            throw std::runtime_error("the combination of data type is unsupported");
-        }
-    }
-
-    /// Computes a batch of matrix-matrix product with general matrices.
-    /// \param [in] q The queue where the routine should be executed.
-    /// \param [in] a_trans Specifies the operation applied to A.
-    /// \param [in] b_trans Specifies the operation applied to B.
-    /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C.
-    /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C.
-    /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B).
-    /// \param [in] alpha Scaling factor for the matrix-matrix product.
-    /// \param [in] a Input matrix A.
-    /// \param [in] a_type Data type of the matrix A.
-    /// \param [in] lda Leading dimension of A.
-    /// \param [in] stride_a Stride between the different A matrices.
-    /// \param [in] b Input matrix B.
-    /// \param [in] b_type Data type of the matrix B.
-    /// \param [in] ldb Leading dimension of B.
-    /// \param [in] stride_b Stride between the different B matrices.
-    /// \param [in] beta Scaling factor for matrix C.
-    /// \param [in, out] c Input/Output matrix C.
-    /// \param [in] c_type Data type of the matrix C.
-    /// \param [in] ldc Leading dimension of C.
-    /// \param [in] stride_c Stride between the different C matrices.
-    /// \param [in] batch_size Specifies the number of matrix multiply operations to perform.
-    /// \param [in] scaling_type Data type of the scaling factors.
-    inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans,
-                           oneapi::mkl::transpose b_trans, int m, int n, int k,
-                           const void *alpha, const void *a, library_data_t a_type,
-                           int lda, long long int stride_a, const void *b,
-                           library_data_t b_type, int ldb, long long int stride_b,
-                           const void *beta, void *c, library_data_t c_type,
-                           int ldc, long long int stride_c, int batch_size,
-                           library_data_t scaling_type)
-    {
-        if (scaling_type == library_data_t::real_float &&
-            c_type == library_data_t::complex_float)
-        {
-            scaling_type = library_data_t::complex_float;
-        }
-        else if (scaling_type == library_data_t::real_double &&
-                 c_type == library_data_t::complex_double)
-        {
-            scaling_type = library_data_t::complex_double;
-        }
-
-        std::uint64_t key =
-            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
-        switch (key)
-        {
-        case detail::get_type_combination_id(
-            library_data_t::real_float, library_data_t::real_float,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<float, float, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_double, library_data_t::real_double,
-            library_data_t::real_double, library_data_t::real_double):
-        {
-            detail::gemm_batch_impl<double, double, double, double>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_float, library_data_t::complex_float,
-            library_data_t::complex_float, library_data_t::complex_float):
-        {
-            detail::gemm_batch_impl<std::complex<float>, std::complex<float>,
-                                    std::complex<float>, std::complex<float>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::complex_double, library_data_t::complex_double,
-            library_data_t::complex_double, library_data_t::complex_double):
-        {
-            detail::gemm_batch_impl<std::complex<double>, std::complex<double>,
-                                    std::complex<double>, std::complex<double>>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_half):
-        {
-            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half,
-                                    sycl::half>(q, a_trans, b_trans, m, n, k, alpha,
-                                                a, lda, stride_a, b, ldb, stride_b,
-                                                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-#ifdef __INTEL_MKL__
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_bfloat16, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
-                                    oneapi::mkl::bfloat16, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
-                                    float>(q, a_trans, b_trans, m, n, k, alpha, a, lda,
-                                           stride_a, b, ldb, stride_b, beta, c, ldc,
-                                           stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_int32, library_data_t::real_int32):
-        {
-            detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t,
-                                    std::int32_t>(q, a_trans, b_trans, m, n, k, alpha,
-                                                  a, lda, stride_a, b, ldb, stride_b,
-                                                  beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_int8, library_data_t::real_int8,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_float, library_data_t::real_float):
-        {
-            detail::gemm_batch_impl<sycl::half, sycl::half, float, float>(
-                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
-                beta, c, ldc, stride_c, batch_size);
-            break;
-        }
-#endif
-        case detail::get_type_combination_id(
-            library_data_t::real_half, library_data_t::real_half,
-            library_data_t::real_half, library_data_t::real_float):
-        {
-            float alpha_value =
-                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
-            float beta_value =
-                dpct::get_value(reinterpret_cast<const float *>(beta), q);
-            sycl::half alpha_half(alpha_value);
-            sycl::half beta_half(beta_value);
-            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>(
-                q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, stride_a, b, ldb, stride_b,
-                &beta_half, c, ldc, stride_c, batch_size);
-            break;
-        }
-        default:
-            throw std::runtime_error("the combination of data type is unsupported");
-        }
-    }
-
-    static inline void
-    async_dpct_memcpy(void *to_ptr, size_t to_pitch, const void *from_ptr,
-                      size_t from_pitch, size_t x, size_t y,
-                      memcpy_direction direction = automatic,
-                      sycl::queue &q = get_default_queue())
-    {
-        detail::dpct_memcpy(q, to_ptr, from_ptr, to_pitch, from_pitch, x, y,
-                            direction);
-    }
-
-    using err0 = detail::generic_error_type<struct err0_tag, int>;
-    using err1 = detail::generic_error_type<struct err1_tag, int>;
-
-    static inline void dpct_free(void *ptr, sycl::queue &q = get_default_queue()) {
-        detail::dpct_free(ptr, q);
-    }
-
-    /// dpct accessor used as device function parameter.
-    template <class T, memory_region Memory, size_t Dimension> class accessor;
-    template <class T, memory_region Memory> class accessor<T, Memory, 3> {
-    public:
-        using memory_t = detail::memory_traits<Memory, T>;
-        using element_t = typename memory_t::element_t;
-        using pointer_t = typename memory_t::pointer_t;
-        using accessor_t = typename memory_t::template accessor_t<3>;
-        accessor(pointer_t data, const sycl::range<3> &in_range)
-            : _data(data), _range(in_range) {}
-        template <memory_region M = Memory>
-        accessor(typename std::enable_if<M != local, const accessor_t>::type &acc)
-            : accessor(acc, acc.get_range()) {}
-        accessor(const accessor_t &acc, const sycl::range<3> &in_range)
-            : accessor(acc.get_pointer(), in_range) {}
-        accessor<T, Memory, 2> operator[](size_t index) const {
-            sycl::range<2> sub(_range.get(1), _range.get(2));
-            return accessor<T, Memory, 2>(_data + index * sub.size(), sub);
-        }
-
-        pointer_t get_ptr() const { return _data; }
-
-    private:
-        pointer_t _data;
-        sycl::range<3> _range;
-    };
-    template <class T, memory_region Memory> class accessor<T, Memory, 2> {
-    public:
-        using memory_t = detail::memory_traits<Memory, T>;
-        using element_t = typename memory_t::element_t;
-        using pointer_t = typename memory_t::pointer_t;
-        using accessor_t = typename memory_t::template accessor_t<2>;
-        accessor(pointer_t data, const sycl::range<2> &in_range)
-            : _data(data), _range(in_range) {}
-        template <memory_region M = Memory>
-        accessor(typename std::enable_if<M != local, const accessor_t>::type &acc)
-            : accessor(acc, acc.get_range()) {}
-        accessor(const accessor_t &acc, const sycl::range<2> &in_range)
-            : accessor(acc.get_pointer(), in_range) {}
-
-        pointer_t operator[](size_t index) const {
-            return _data + _range.get(1) * index;
-        }
-
-        pointer_t get_ptr() const { return _data; }
-
-    private:
-        pointer_t _data;
-        sycl::range<2> _range;
-    };
-
-    namespace detail {
-        /// Device variable with address space of shared, global or constant.
-        template <class T, memory_region Memory, size_t Dimension> class device_memory {
-        public:
-            using accessor_t =
-                typename detail::memory_traits<Memory,
-                                            T>::template accessor_t<Dimension>;
-            using value_t = typename detail::memory_traits<Memory, T>::value_t;
-            using dpct_accessor_t = dpct::accessor<T, Memory, Dimension>;
-
-            device_memory() : device_memory(sycl::range<Dimension>(1)) {}
-
-            /// Constructor of 1-D array with initializer list
-            device_memory(const sycl::range<Dimension> &in_range,
-                        std::initializer_list<value_t> &&init_list)
-                : device_memory(in_range) {
-                assert(init_list.size() <= in_range.size());
-                _host_ptr = (value_t *)std::malloc(_size);
-                std::memset(_host_ptr, 0, _size);
-                std::memcpy(_host_ptr, init_list.begin(), init_list.size() * sizeof(T));
-            }
-
-            /// Constructor of 2-D array with initializer list
-            template <size_t D = Dimension>
-            device_memory(
-                const typename std::enable_if<D == 2, sycl::range<2>>::type &in_range,
-                std::initializer_list<std::initializer_list<value_t>> &&init_list)
-                : device_memory(in_range) {
-                assert(init_list.size() <= in_range[0]);
-                _host_ptr = (value_t *)std::malloc(_size);
-                std::memset(_host_ptr, 0, _size);
-                auto tmp_data = _host_ptr;
-                for (auto sub_list : init_list) {
-                    assert(sub_list.size() <= in_range[1]);
-                    std::memcpy(tmp_data, sub_list.begin(),
-                                sub_list.size() * sizeof(T));
-                    tmp_data += in_range[1];
-                }
-            }
-
-            /// Constructor with range
-            device_memory(const sycl::range<Dimension> &range_in)
-                : _size(range_in.size() * sizeof(T)), _range(range_in),
-                _reference(false), _host_ptr(nullptr), _device_ptr(nullptr) {
-                static_assert(
-                    (Memory == global) || (Memory == constant) || (Memory == shared),
-                    "device memory region should be global, constant or shared");
-                // Make sure that singleton class mem_mgr and dev_mgr will destruct
-                // later than this.
-                detail::mem_mgr::instance();
-                dev_mgr::instance();
-            }
-
-            /// Constructor with range
-            template <class... Args>
-            device_memory(Args... Arguments)
-                : device_memory(sycl::range<Dimension>(Arguments...)) {}
-
-            ~device_memory() {
-                if (_device_ptr && !_reference)
-                    dpct::dpct_free(_device_ptr);
-                if (_host_ptr)
-                    std::free(_host_ptr);
-            }
-
-            /// Allocate memory with default queue, and init memory if has initial
-            /// value.
-            void init() { init(dpct::get_default_queue()); }
-            /// Allocate memory with specified queue, and init memory if has initial
-            /// value.
-            void init(sycl::queue &q) {
-                if (_device_ptr)
-                    return;
-                if (!_size)
-                    return;
-                allocate_device(q);
-                if (_host_ptr)
-                    detail::dpct_memcpy(q, _device_ptr, _host_ptr, _size,
-                                        host_to_device);
-            }
-
-            /// The variable is assigned to a device pointer.
-            void assign(value_t *src, size_t size) {
-                this->~device_memory();
-                new (this) device_memory(src, size);
-            }
-
-            /// Get memory pointer of the memory object, which is virtual pointer when
-            /// usm is not used, and device pointer when usm is used.
-            value_t *get_ptr() { return get_ptr(get_default_queue()); }
-            /// Get memory pointer of the memory object, which is virtual pointer when
-            /// usm is not used, and device pointer when usm is used.
-            value_t *get_ptr(sycl::queue &q) {
-                init(q);
-                return _device_ptr;
-            }
-
-            /// Get the device memory object size in bytes.
-            size_t get_size() { return _size; }
-
-            template <size_t D = Dimension>
-            typename std::enable_if<D == 1, T>::type &operator[](size_t index) {
-                init();
-                return _device_ptr[index];
-            }
-
-            /// Get dpct::accessor with dimension info for the device memory object
-            /// when usm is used and dimension is greater than 1.
-            template <size_t D = Dimension>
-            typename std::enable_if<D != 1, dpct_accessor_t>::type
-            get_access(sycl::handler &cgh) {
-                return dpct_accessor_t((T *)_device_ptr, _range);
-            }
-
-        private:
-            device_memory(value_t *memory_ptr, size_t size)
-                : _size(size), _range(size / sizeof(T)), _reference(true),
-                _device_ptr(memory_ptr) {}
-
-            void allocate_device(sycl::queue &q) {
-        #ifndef DPCT_USM_LEVEL_NONE
-                if (Memory == shared) {
-                    _device_ptr = (value_t *)sycl::malloc_shared(_size, q.get_device(),
-                                                                q.get_context());
-                    return;
-                }
-        #ifdef SYCL_EXT_ONEAPI_USM_DEVICE_READ_ONLY
-                if (Memory == constant) {
-                    _device_ptr = (value_t *)sycl::malloc_device(
-                        _size, q.get_device(), q.get_context(),
-                        sycl::ext::oneapi::property::usm::device_read_only());
-                    return;
-                }
-        #endif
-        #endif
-                _device_ptr = (value_t *)detail::dpct_malloc(_size, q);
-            }
-
-            size_t _size;
-            sycl::range<Dimension> _range;
-            bool _reference;
-            value_t *_host_ptr;
-            value_t *_device_ptr;
-        };
-        template <class T, memory_region Memory>
-        class device_memory<T, Memory, 0> : public device_memory<T, Memory, 1> {
-        public:
-            using base = device_memory<T, Memory, 1>;
-            using value_t = typename base::value_t;
-            using accessor_t =
-                typename detail::memory_traits<Memory, T>::template accessor_t<0>;
-
-            /// Constructor with initial value.
-            device_memory(const value_t &val) : base(sycl::range<1>(1), {val}) {}
-
-            /// Default constructor
-            device_memory() : base(1) {}
-        };
-        } // namespace detail
-
-    template <class T, size_t Dimension>
-    using global_memory = detail::device_memory<T, global, Dimension>;
-    template <class T, size_t Dimension>
-    using constant_memory = detail::device_memory<T, constant, Dimension>;
-    template <class T, size_t Dimension>
-    using shared_memory = detail::device_memory<T, shared, Dimension>;
-
-
-    template <typename T,
-            sycl::access::address_space addressSpace =
-                sycl::access::address_space::global_space,
-            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
-            sycl::memory_scope memoryScope = sycl::memory_scope::device>
-    inline T atomic_fetch_add(T *addr, T operand) {
-    auto atm =
-        sycl::atomic_ref<T, memoryOrder, memoryScope, addressSpace>(addr[0]);
-    return atm.fetch_add(operand);
-    }
-
-    template <sycl::access::address_space addressSpace =
-                sycl::access::address_space::global_space,
-            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
-            sycl::memory_scope memoryScope = sycl::memory_scope::device,
-            typename T1, typename T2>
-    inline T1 atomic_fetch_add(T1 *addr, T2 operand) {
-    auto atm =
-        sycl::atomic_ref<T1, memoryOrder, memoryScope, addressSpace>(addr[0]);
-    return atm.fetch_add(operand);
-    }
-
-    template <typename T, sycl::access::address_space addressSpace =
-                            sycl::access::address_space::global_space>
-    inline T atomic_fetch_add(T *addr, T operand,
-                            sycl::memory_order memoryOrder) {
-    switch (memoryOrder) {
-        case sycl::memory_order::relaxed:
-            return atomic_fetch_add<T, addressSpace, sycl::memory_order::relaxed,
-                                    sycl::memory_scope::device>(addr, operand);
-        case sycl::memory_order::acq_rel:
-            return atomic_fetch_add<T, addressSpace, sycl::memory_order::acq_rel,
-                                    sycl::memory_scope::device>(addr, operand);
-        case sycl::memory_order::seq_cst:
-            return atomic_fetch_add<T, addressSpace, sycl::memory_order::seq_cst,
-                                    sycl::memory_scope::device>(addr, operand);
-        default:
-            assert(false && "Invalid memory_order for atomics. Valid memory_order for "
-                            "atomics are: sycl::memory_order::relaxed, "
-                            "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!");
-        }
-    }
-
-    template <sycl::access::address_space addressSpace =
-                sycl::access::address_space::global_space,
-            typename T1, typename T2>
-    inline T1 atomic_fetch_add(T1 *addr, T2 operand,
-                            sycl::memory_order memoryOrder) {
-    atomic_fetch_add<T1, addressSpace>(addr, operand, memoryOrder);
-    }
-
-} // COPY from DPCT head files
-
-#define GGML_COMMON_DECL_SYCL
-#define GGML_COMMON_IMPL_SYCL
-#include "ggml-common.h"
-
-static int g_ggml_sycl_debug=0;
-#define GGML_SYCL_DEBUG(...) do{if(g_ggml_sycl_debug) fprintf(stderr, __VA_ARGS__);}while(0)
-
-#define CHECK_TRY_ERROR(expr)                                                  \
-  [&]() {                                                                      \
-    try {                                                                      \
-      expr;                                                                    \
-      return dpct::success;                                                    \
-    } catch (std::exception const &e) {                                        \
-      std::cerr << e.what()<< "\nException caught at file:" << __FILE__        \
-        << ", line:" << __LINE__ <<", func:"<<__func__<< std::endl;            \
-      return dpct::default_error;                                              \
-    }                                                                          \
-  }()
-
-// #define DEBUG_SYCL_MALLOC
-
-static int g_work_group_size = 0;
-// typedef sycl::half ggml_fp16_t;
-
-#define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP
-#define VER_4VEC   130          //todo for hardward optimize.
-#define VER_GEN9      700       //todo for hardward optimize.
-#define VER_GEN12 1000000       //todo for hardward optimize.
-#define VER_GEN13      (VER_GEN12 + 1030)   //todo for hardward optimize.
-
-#define GGML_SYCL_MAX_NODES 8192 //TODO: adapt to hardwares
-
-#if !defined(GGML_SYCL_FORCE_MMQ)
-    #define SYCL_USE_XMX
-#endif
-
-// max batch size to use MMQ kernels when tensor cores are available
-#define MMQ_MAX_BATCH_SIZE 32
-
-
-#if defined(_MSC_VER)
-#pragma warning(disable: 4244 4267) // possible loss of data
-#endif
-
-// dmmv = dequantize_mul_mat_vec
-#ifndef GGML_SYCL_DMMV_X
-#define GGML_SYCL_DMMV_X 32
-#endif
-#ifndef GGML_SYCL_MMV_Y
-#define GGML_SYCL_MMV_Y 1
-#endif
-
-enum ggml_sycl_backend_gpu_mode {
-    SYCL_UNSET_GPU_MODE = -1,
-    SYCL_SINGLE_GPU_MODE = 0,
-    SYCL_MUL_GPU_MODE
-};
-
-static_assert(sizeof(sycl::half) == sizeof(ggml_fp16_t), "wrong fp16 size");
-
-static void crash(){
-    int *ptr = NULL;
-    *ptr = 0;
-}
-
-static void ggml_sycl_error(const char * stmt, const char * func, const char * file, const int line, const char * msg) {
-    fprintf(stderr, "SYCL error: %s: %s\n", stmt, msg);
-    fprintf(stderr, "  in function %s at %s:%d\n", func, file, line);
-    GGML_ASSERT(!"SYCL error");
-}
-
-#define SYCL_CHECK(err) do {                                                   \
-    auto err_ = (err); if (err_ != 0) ggml_sycl_error(                         \
-        #err, __func__, __FILE__, __LINE__,                                    \
-        "Meet error in this line code!");   \
-} while (0)
-
-#if DPCT_COMPAT_RT_VERSION >= 11100
-#define GGML_SYCL_ASSUME(x) __builtin_assume(x)
-#else
-#define GGML_SYCL_ASSUME(x)
-#endif // DPCT_COMPAT_RT_VERSION >= 11100
-
-#ifdef GGML_SYCL_F16
-typedef sycl::half dfloat; // dequantize float
-typedef sycl::half2 dfloat2;
-#else
-typedef float dfloat; // dequantize float
-typedef sycl::float2 dfloat2;
-#endif //GGML_SYCL_F16
-
-#define MMVQ_MAX_BATCH_SIZE  8
-
-static const int8_t kvalues_iq4nl[16]={-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
-
 bool   ggml_sycl_loaded(void);
-void * ggml_sycl_host_malloc(size_t size);
-void   ggml_sycl_host_free(void * ptr);
-bool   ggml_sycl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst);
 void   ggml_sycl_free_data(struct ggml_tensor * tensor);
 void   ggml_sycl_assign_buffers(struct ggml_tensor * tensor);
 void   ggml_sycl_assign_buffers_no_scratch(struct ggml_tensor * tensor);
@@ -3109,10 +98,7 @@ void   ggml_sycl_free_scratch(void);
 void   ggml_sycl_get_device_description(int device, char * description, size_t description_size);
 bool   ggml_backend_is_sycl(ggml_backend_t backend);
 int    ggml_backend_sycl_get_device(ggml_backend_t backend);
-int    get_main_device();
 static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer);
-void   print_ggml_tensor(const char*name, struct ggml_tensor *src);
-void   log_tensor_with_cnt(const char* name, struct ggml_tensor * src, int stop_cnt);
 
 void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst,
                     const void *ptr_src, size_t size) {
@@ -3155,25 +141,26 @@ static __dpct_inline__ int get_int_from_uint8_aligned(const uint8_t *x8,
 
 template <typename T>
 using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y,
-                             int k, dpct::queue_ptr stream);
+                             int k, queue_ptr stream);
 typedef to_t_sycl_t<float> to_fp32_sycl_t;
 typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t;
 
 typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v);
 typedef void (*dot_kernel_k_t)(const void * __restrict__ vx, const int ib, const int iqs, const float * __restrict__ y, float & v);
 typedef void (*cpy_kernel_t)(const char * cx, char * cdst);
-typedef void (*ggml_sycl_func_t)(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
+typedef void (*ggml_sycl_func_t)(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
 typedef void (*ggml_sycl_op_mul_mat_t)(
+    ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
     const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
     float *dst_dd_i, const int64_t row_low, const int64_t row_high,
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const dpct::queue_ptr &stream);
-typedef void (*ggml_sycl_op_flatten_t)(const ggml_tensor *src0,
+    const queue_ptr &stream);
+typedef void (*ggml_sycl_op_flatten_t)(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                        const ggml_tensor *src1,
                                        ggml_tensor *dst, const float *src0_dd,
                                        const float *src1_dd, float *dst_dd,
-                                       const dpct::queue_ptr &main_stream);
+                                       const queue_ptr &main_stream);
 
 typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs);
 typedef void (*allocate_tiles_sycl_t)(int **x_ql, sycl::half2 **x_dm,
@@ -3191,387 +178,6 @@ typedef float (*vec_dot_q_mul_mat_sycl_t)(
     const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ms,
     const int &i, const int &j, const int &k);
 
-#define WARP_SIZE 32
-#define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses
-
-#define SYCL_GELU_BLOCK_SIZE 256
-#define SYCL_SILU_BLOCK_SIZE 256
-#define SYCL_TANH_BLOCK_SIZE 256
-#define SYCL_RELU_BLOCK_SIZE 256
-#define SYCL_HARDSIGMOID_BLOCK_SIZE 256
-#define SYCL_HARDSWISH_BLOCK_SIZE 256
-#define SYCL_SQR_BLOCK_SIZE 256
-#define SYCL_CPY_BLOCK_SIZE 32
-#define SYCL_SCALE_BLOCK_SIZE 256
-#define SYCL_CLAMP_BLOCK_SIZE 256
-#define SYCL_ROPE_BLOCK_SIZE 256
-#define SYCL_DIAG_MASK_INF_BLOCK_SIZE 32
-#define SYCL_QUANTIZE_BLOCK_SIZE 256
-#define SYCL_DEQUANTIZE_BLOCK_SIZE 256
-#define SYCL_GET_ROWS_BLOCK_SIZE 256
-#define SYCL_UPSCALE_BLOCK_SIZE 256
-#define SYCL_CONCAT_BLOCK_SIZE 256
-#define SYCL_PAD_BLOCK_SIZE 256
-#define SYCL_ACC_BLOCK_SIZE 256
-#define SYCL_IM2COL_BLOCK_SIZE 256
-#define SYCL_POOL2D_BLOCK_SIZE 256
-
-// dmmv = dequantize_mul_mat_vec
-#ifndef GGML_SYCL_DMMV_X
-#define GGML_SYCL_DMMV_X 32
-#endif
-#ifndef GGML_SYCL_MMV_Y
-#define GGML_SYCL_MMV_Y 1
-#endif
-
-#ifndef K_QUANTS_PER_ITERATION
-#define K_QUANTS_PER_ITERATION 2
-#else
-static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2");
-#endif
-
-#ifndef GGML_SYCL_PEER_MAX_BATCH_SIZE
-#define GGML_SYCL_PEER_MAX_BATCH_SIZE 128
-#endif // GGML_SYCL_PEER_MAX_BATCH_SIZE
-
-#define MUL_MAT_SRC1_COL_STRIDE 128
-
-#define MAX_STREAMS 8
-static dpct::queue_ptr g_syclStreams[GGML_SYCL_MAX_DEVICES][MAX_STREAMS] = {{0}};
-
-struct ggml_tensor_extra_gpu {
-    void * data_device[GGML_SYCL_MAX_DEVICES]; // 1 pointer for each device for split tensors
-    dpct::event_ptr
-        events[GGML_SYCL_MAX_DEVICES]
-              [MAX_STREAMS]; // events for synchronizing multiple GPUs
-};
-
-class sycl_gpu_mgr {
-    public:
-        std::vector<int> gpus;
-        std::vector<sycl::device> devices;
-        sycl::queue *first_queue;
-        sycl::context co_ctx;
-        int max_compute_units = 0;
-        int work_group_size = 0;
-        std::string gpus_list = "";
-
-        /*
-        Use all GPUs with same top max compute units
-        */
-        sycl_gpu_mgr() {
-            detect_sycl_gpu_list_with_max_cu();
-            get_allow_gpus();
-            create_context_with_gpus();
-        }
-
-        /*
-        Only use the assigned GPU
-        */
-        sycl_gpu_mgr(int main_gpu_id) {
-            sycl::device device = dpct::dev_mgr::instance().get_device(main_gpu_id);
-            dpct::device_info prop;
-            dpct::get_device_info(prop, device);
-            gpus.push_back(main_gpu_id);
-            devices.push_back(device);
-            work_group_size = prop.get_max_work_group_size();
-            max_compute_units = prop.get_max_compute_units();
-
-            get_allow_gpus();
-            create_context_with_gpus();
-        }
-
-        void create_context_with_gpus() {
-            sycl::context ctx = sycl::context(devices);
-            assert(gpus.size() > 0);
-            first_queue = dpct::get_current_device().create_queue(ctx, devices[0]);
-            co_ctx = first_queue->get_context();
-        }
-
-        sycl::context &get_co_ctx() { return co_ctx; }
-
-        void get_allow_gpus() {
-            gpus_list = "";
-            for (size_t i = 0; i < gpus.size(); ++i) {
-                gpus_list += std::to_string(gpus[i]);
-                gpus_list += ",";
-            }
-            if (gpus_list.length() > 1) {
-                gpus_list.pop_back();
-            }
-        }
-
-        bool is_allowed_gpu(int device_id) {
-            return std::find(gpus.begin(), gpus.end(), device_id) != gpus.end();
-        }
-
-        void detect_sycl_gpu_list_with_max_cu() try {
-            int device_count = dpct::dev_mgr::instance().device_count();
-
-            for (int id = 0; id < device_count; id++) {
-                sycl::device device = dpct::dev_mgr::instance().get_device(id);
-                if (!device.is_gpu())
-                    continue;
-                dpct::device_info prop;
-                dpct::get_device_info(prop, device);
-                if (max_compute_units < prop.get_max_compute_units())
-                    max_compute_units = prop.get_max_compute_units();
-            }
-
-            for (int id = 0; id < device_count; id++) {
-                sycl::device device = dpct::dev_mgr::instance().get_device(id);
-                if (!device.is_gpu())
-                    continue;
-                dpct::device_info prop;
-                dpct::get_device_info(prop, device);
-                if (max_compute_units == prop.get_max_compute_units() &&
-                    is_ext_oneapi_device(device)) {
-                    gpus.push_back(id);
-                    devices.push_back(device);
-                    work_group_size = prop.get_max_work_group_size();
-                }
-            }
-            return;
-        } catch (sycl::exception const &exc) {
-            std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-                    << ", line:" << __LINE__ << std::endl;
-            std::exit(1);
-        }
-
-        int get_gpu_count() { return (int)gpus.size(); }
-
-        int get_index(int id) {
-            for (int i = 0; i < (int)gpus.size(); i++) {
-                if (gpus[i] == id)
-                    return i;
-            }
-            printf("miss to get device index by id=%d\n", id);
-            GGML_ASSERT(false);
-        }
-
-        int get_next_index(int id) {
-            int cur_index = get_index(id);
-            for (int i = cur_index + 1; i < (int)gpus.size(); i++) {
-                if (gpus[i] == id)
-                    return i;
-            }
-            GGML_ASSERT(false);
-        }
-
-        bool is_ext_oneapi_device(const sycl::device &dev) {
-            sycl::backend dev_backend = dev.get_backend();
-            if (dev_backend == sycl::backend::ext_oneapi_level_zero ||
-                dev_backend == sycl::backend::ext_oneapi_cuda ||
-                dev_backend == sycl::backend::ext_oneapi_hip)
-                return true;
-            return false;
-        }
-};
-
-static sycl_gpu_mgr *g_sycl_gpu_mgr = NULL;
-static int g_device_count = -1;
-static int g_all_sycl_device_count = -1;
-static int g_main_device = -1;
-static int g_main_device_id = -1;
-static bool g_ggml_backend_sycl_buffer_type_initialized = false;
-
-static std::array<float, GGML_SYCL_MAX_DEVICES> g_default_tensor_split = {};
-
-static float g_tensor_split[GGML_SYCL_MAX_DEVICES] = {0};
-
-static ggml_sycl_backend_gpu_mode g_ggml_sycl_backend_gpu_mode = SYCL_UNSET_GPU_MODE;
-
-struct sycl_device_capabilities {
-    int     cc;                 // compute capability
-    bool    vmm;                // virtual memory support
-    size_t  vmm_granularity;    // granularity of virtual memory
-    int device_id;
-};
-
-static sycl_device_capabilities g_device_caps[GGML_SYCL_MAX_DEVICES] = { {0, false, 0, -1} };
-
-struct sycl_device_id2index {
-    int index;
-};
-
-static void * g_scratch_buffer = nullptr;
-static size_t g_scratch_size = 0; // disabled by default
-static size_t g_scratch_offset = 0;
-
-static dpct::queue_ptr g_sycl_handles[GGML_SYCL_MAX_DEVICES] = {nullptr};
-
-int get_main_device(){
-    return g_main_device;
-}
-
-[[noreturn]]
-static void bad_arch(const sycl::stream &stream_ct1) {
-    stream_ct1 << "ERROR: ggml-sycl was compiled without support for the "
-                  "current GPU architecture.\n";
-    // __trap();
-    std::exit(1);
-
-    (void) bad_arch; // suppress unused function warning
-}
-
-/*
-device_index: device index from 0 to n (continue numbers).
-    It is used for device select/set in SYCL backend internal data structure.
-*/
-void check_allow_gpu_index(const int device_index) {
-    if (device_index >= g_device_count) {
-        char error_buf[256];
-        snprintf(error_buf, sizeof(error_buf),
-                 "%s error: device_index:%d is out of range: [0-%d]", __func__,
-                 device_index, g_device_count - 1);
-        fprintf(stderr, "%s\n", error_buf);
-        assert(false);
-    }
-}
-
-/*
-device_id: device ID is shown by ggml_backend_sycl_print_sycl_devices().
-    It is only used to set current working device.
-*/
-void check_allow_gpu_id(const int device_id) {
-    if (!g_sycl_gpu_mgr->is_allowed_gpu(device_id)) {
-        char error_buf[256];
-        snprintf(error_buf, sizeof(error_buf),
-                 "error: cannot set device=%d, which is not allowed. Please "
-                 "set GPU ID in: [%s]",
-                 device_id, g_sycl_gpu_mgr->gpus_list.c_str());
-        fprintf(stderr, "%s\n", error_buf);
-        throw std::invalid_argument(error_buf);
-    }
-}
-
-int get_current_device_id() {
-    return dpct::dev_mgr::instance().current_device_id();
-}
-
-inline dpct::err0 ggml_sycl_set_device(const int device) try {
-
-    int device_id = g_sycl_gpu_mgr->gpus[device];
-    check_allow_gpu_id(device_id);
-
-    int current_device_id;
-    SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id()));
-
-    // GGML_SYCL_DEBUG("ggml_sycl_set_device device_id=%d,
-    // current_device_id=%d\n", device, current_device);
-    if (device_id == current_device_id) {
-        return 0;
-    }
-
-    return CHECK_TRY_ERROR(dpct::select_device(device_id));
-} catch (sycl::exception const &exc) {
-    std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-              << ", line:" << __LINE__ << std::endl;
-    crash();
-    std::exit(1);
-}
-
-void log_ggml_var_device(const char*name, float *src, size_t total_elements, bool src_on_device){
-    if(!g_ggml_sycl_debug) return;
-    if(!src){
-        printf("GGML Tensor:%s skip to save for NULL pointer\n", name);
-        return;
-    }
-    char filename[1024];
-    sprintf(filename, "%s.txt", name);
-    printf("GGML Tensor:%s save to %s\n", name, filename);
-
-    size_t total_size = total_elements*sizeof(float);
-    float *local_buf = NULL;
-    if(src_on_device) {
-        local_buf = (float *) ggml_sycl_host_malloc(total_size);
-        ggml_sycl_set_device(g_main_device);
-        dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
-        main_stream->memcpy(local_buf, src, total_size).wait();
-    }
-    else {
-        local_buf = (float *)src;
-    }
-
-    std::ofstream logfile;
-    logfile.open(filename);
-    for(size_t i=0; i<total_elements; i++){
-        logfile << local_buf[i] <<" ";
-        if((i+1)%20 ==0) logfile <<std::endl;
-    }
-    logfile <<std::endl;
-    logfile.close();
-
-    if(src_on_device) ggml_sycl_host_free(local_buf);
-}
-
-void log_ggml_var_device_fp16(const char*name, sycl::half *src, size_t total_elements, bool src_on_device){
-    if(!g_ggml_sycl_debug) return;
-    if(!src){
-        printf("GGML Tensor:%s skip to save for NULL pointer\n", name);
-        return;
-    }
-    char filename[1024];
-    sprintf(filename, "%s.txt", name);
-    printf("GGML Tensor:%s save to %s\n", name, filename);
-
-    size_t total_size = total_elements*sizeof(sycl::half);
-    sycl::half *local_buf = NULL;
-    if(src_on_device) {
-        local_buf = (sycl::half *) ggml_sycl_host_malloc(total_size);
-        ggml_sycl_set_device(g_main_device);
-        dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
-        main_stream->memcpy(local_buf, src, total_size).wait();
-    }
-    else {
-        local_buf = (sycl::half *)src;
-    }
-
-    std::ofstream logfile;
-    logfile.open(filename);
-    for(size_t i=0; i<total_elements; i++){
-        logfile << local_buf[i] <<" ";
-        if((i+1)%20 ==0) logfile <<std::endl;
-    }
-    logfile <<std::endl;
-    logfile.close();
-
-    if(src_on_device) ggml_sycl_host_free(local_buf);
-}
-
-//todo: debug for crash in some case
-void print_ggml_tensor(const char*name, struct ggml_tensor *src){
-    if(!g_ggml_sycl_debug) return;
-    if(!src){
-        printf("GGML Tensor:%s skip to save for NULL pointer\n", name);
-        return;
-    }
-
-    size_t total_elements = ggml_nelements(src);
-
-    const bool src_on_device = src->backend == GGML_BACKEND_TYPE_GPU || src->backend == GGML_BACKEND_TYPE_GPU_SPLIT;
-    float *src_data =NULL;
-    if(src_on_device) {
-        ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *)  src->extra;
-        src_data = (float*)src_extra->data_device[g_main_device];
-    }
-    else {
-        src_data = (float *)src->data;
-    }
-
-    log_ggml_var_device(name, src_data, total_elements, src_on_device);
-}
-
-static int log_file_name_idx=0;
-void log_tensor_with_cnt(const char* name, struct ggml_tensor * src, int stop_cnt) {
-    stop_cnt = 4;
-    if(log_file_name_idx>=stop_cnt) return;
-    char filename[1280];
-    sprintf(filename, "%s_%07d", name, log_file_name_idx);
-    log_file_name_idx++;
-    print_ggml_tensor(filename, src);
-}
-
 static __dpct_inline__ float warp_reduce_sum(float x,
                                              const sycl::nd_item<3> &item_ct1) {
 #pragma unroll
@@ -9256,10 +5862,10 @@ static  void pool2d_nchw_kernel(
 }
 
 template <int qk, int qr, dequantize_kernel_t dq>
-static void get_rows_sycl(const ggml_tensor *src0, const ggml_tensor *src1,
+static void get_rows_sycl(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                           ggml_tensor *dst, const void *src0_dd,
                           const int32_t *src1_dd, float *dst_dd,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
 
     GGML_TENSOR_BINARY_OP_LOCALS
 
@@ -9291,10 +5897,10 @@ static void get_rows_sycl(const ggml_tensor *src0, const ggml_tensor *src1,
 }
 
 template <typename src0_t>
-static void get_rows_sycl_float(const ggml_tensor *src0,
+static void get_rows_sycl_float(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                 const ggml_tensor *src1, ggml_tensor *dst,
                                 const src0_t *src0_dd, const int32_t *src1_dd,
-                                float *dst_dd, dpct::queue_ptr stream) {
+                                float *dst_dd, queue_ptr stream) {
 
     GGML_TENSOR_BINARY_OP_LOCALS
 
@@ -9331,10 +5937,11 @@ static void get_rows_sycl_float(const ggml_tensor *src0,
 template<float (*bin_op)(const float, const float)>
 struct bin_bcast_sycl {
     template <typename src0_t, typename src1_t, typename dst_t>
-    void operator()(const struct ggml_tensor *src0,
+    void operator()(ggml_backend_sycl_context & ctx,
+                    const struct ggml_tensor *src0,
                     const struct ggml_tensor *src1, struct ggml_tensor *dst,
                     const src0_t *src0_dd, const src1_t *src1_dd, dst_t *dst_dd,
-                    dpct::queue_ptr stream) {
+                    queue_ptr stream) {
 
         GGML_TENSOR_BINARY_OP_LOCALS
 
@@ -9471,7 +6078,7 @@ struct bin_bcast_sycl {
 static void acc_f32_sycl(const float *x, const float *y, float *dst,
                          const int n_elements, const int ne10, const int ne11,
                          const int ne12, const int nb1, const int nb2,
-                         const int offset, dpct::queue_ptr stream) {
+                         const int offset, queue_ptr stream) {
     int num_blocks = (n_elements + SYCL_ACC_BLOCK_SIZE - 1) / SYCL_ACC_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9484,7 +6091,7 @@ static void acc_f32_sycl(const float *x, const float *y, float *dst,
 }
 
 static void gelu_f32_sycl(const float *x, float *dst, const int k,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
     const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9496,7 +6103,7 @@ static void gelu_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void silu_f32_sycl(const float *x, float *dst, const int k,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
     const int num_blocks = (k + SYCL_SILU_BLOCK_SIZE - 1) / SYCL_SILU_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9508,7 +6115,7 @@ static void silu_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void gelu_quick_f32_sycl(const float *x, float *dst, const int k,
-                                dpct::queue_ptr stream) {
+                                queue_ptr stream) {
     const int num_blocks = (k + SYCL_GELU_BLOCK_SIZE - 1) / SYCL_GELU_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9520,7 +6127,7 @@ static void gelu_quick_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void tanh_f32_sycl(const float *x, float *dst, const int k,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
     const int num_blocks = (k + SYCL_TANH_BLOCK_SIZE - 1) / SYCL_TANH_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9532,7 +6139,7 @@ static void tanh_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void relu_f32_sycl(const float *x, float *dst, const int k,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
     const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9544,7 +6151,7 @@ static void relu_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void hardsigmoid_f32_sycl(const float *x, float *dst, const int k,
-                                 dpct::queue_ptr stream) {
+                                 queue_ptr stream) {
     const int num_blocks = (k + SYCL_HARDSIGMOID_BLOCK_SIZE - 1) / SYCL_HARDSIGMOID_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9556,7 +6163,7 @@ static void hardsigmoid_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void hardswish_f32_sycl(const float *x, float *dst, const int k,
-                               dpct::queue_ptr stream) {
+                               queue_ptr stream) {
     const int num_blocks = (k + SYCL_HARDSWISH_BLOCK_SIZE - 1) / SYCL_HARDSWISH_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9569,7 +6176,7 @@ static void hardswish_f32_sycl(const float *x, float *dst, const int k,
 
 static void leaky_relu_f32_sycl(const float *x, float *dst, const int k,
                                 const float negative_slope,
-                                dpct::queue_ptr stream) {
+                                queue_ptr stream) {
     const int num_blocks = (k + SYCL_RELU_BLOCK_SIZE - 1) / SYCL_RELU_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9581,7 +6188,7 @@ static void leaky_relu_f32_sycl(const float *x, float *dst, const int k,
 }
 
 static void sqr_f32_sycl(const float *x, float *dst, const int k,
-                         dpct::queue_ptr stream) {
+                         queue_ptr stream) {
     const int num_blocks = (k + SYCL_SQR_BLOCK_SIZE - 1) / SYCL_SQR_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -9594,7 +6201,7 @@ static void sqr_f32_sycl(const float *x, float *dst, const int k,
 
 static void norm_f32_sycl(const float *x, float *dst, const int ncols,
                           const int nrows, const float eps,
-                          dpct::queue_ptr stream) {
+                          queue_ptr stream) {
     GGML_ASSERT(ncols % WARP_SIZE == 0);
     if (ncols < 1024) {
         const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -9612,7 +6219,8 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols,
                     });
         });
     } else {
-        const int work_group_size = g_work_group_size;
+        // FIXME: 1024 from cuda
+        const int work_group_size = GROUP_SIZE;
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:17: The work-group size passed to the SYCL kernel may exceed
@@ -9637,7 +6245,7 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols,
 
 static void group_norm_f32_sycl(const float *x, float *dst,
                                 const int num_groups, const int group_size,
-                                const int ne_elements, dpct::queue_ptr stream) {
+                                const int ne_elements, queue_ptr stream) {
     static const float eps = 1e-6f;
     if (group_size < 1024) {
         const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -9658,7 +6266,7 @@ static void group_norm_f32_sycl(const float *x, float *dst,
                     });
         });
     } else {
-        const int work_group_size = g_work_group_size;
+        const int work_group_size = GROUP_SIZE;
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:18: The work-group size passed to the SYCL kernel may exceed
@@ -9687,7 +6295,7 @@ static void group_norm_f32_sycl(const float *x, float *dst,
 
 static void concat_f32_sycl(const float *x, const float *y, float *dst,
                             const int ne0, int ne1, int ne2, int ne02,
-                            dpct::queue_ptr stream) {
+                            queue_ptr stream) {
     int num_blocks = (ne0 + SYCL_CONCAT_BLOCK_SIZE - 1) / SYCL_CONCAT_BLOCK_SIZE;
     sycl::range<3> gridDim(ne2, ne1, num_blocks);
     stream->parallel_for(
@@ -9702,7 +6310,7 @@ static void concat_f32_sycl(const float *x, const float *y, float *dst,
 static void upscale_f32_sycl(const float *x, float *dst, const int nb00, const int nb01,
                              const int nb02, const int nb03, const int ne10, const int ne11,
                              const int ne12, const int ne13, const float sf0, const float sf1,
-                             const float sf2, const float sf3, dpct::queue_ptr stream) {
+                             const float sf2, const float sf3, queue_ptr stream) {
     int dst_size = ne10 * ne11 * ne12 * ne13;
     int num_blocks = (dst_size + SYCL_UPSCALE_BLOCK_SIZE - 1) / SYCL_UPSCALE_BLOCK_SIZE;
     sycl::range<1> gridDim(num_blocks * SYCL_UPSCALE_BLOCK_SIZE);
@@ -9715,7 +6323,7 @@ static void upscale_f32_sycl(const float *x, float *dst, const int nb00, const i
 
 static void pad_f32_sycl(const float *x, float *dst, const int ne00,
                          const int ne01, const int ne02, const int ne0,
-                         const int ne1, const int ne2, dpct::queue_ptr stream) {
+                         const int ne1, const int ne2, queue_ptr stream) {
     int num_blocks = (ne0 + SYCL_PAD_BLOCK_SIZE - 1) / SYCL_PAD_BLOCK_SIZE;
     sycl::range<3> gridDim(ne2, ne1, num_blocks);
     stream->parallel_for(
@@ -9728,7 +6336,7 @@ static void pad_f32_sycl(const float *x, float *dst, const int ne00,
 
 static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols,
                               const int nrows, const float eps,
-                              dpct::queue_ptr stream) {
+                              queue_ptr stream) {
     GGML_ASSERT(ncols % WARP_SIZE == 0);
     // printf("%s ncols=%d, nrows=%d, WARP_SIZE=%d\n", __func__, ncols, nrows, WARP_SIZE);
     if (ncols < 1024) {
@@ -9747,7 +6355,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols,
                     });
         });
     } else {
-        const int work_group_size = g_work_group_size;
+        const int work_group_size = GROUP_SIZE;
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:19: The work-group size passed to the SYCL kernel may exceed
@@ -9772,7 +6380,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols,
 
 static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx,
                                    const int ky, const int kx_padded,
-                                   dpct::queue_ptr stream) {
+                                   queue_ptr stream) {
     const int block_num_x = (kx_padded + SYCL_QUANTIZE_BLOCK_SIZE - 1) / SYCL_QUANTIZE_BLOCK_SIZE;
     const sycl::range<3> num_blocks(1, ky, block_num_x);
     const sycl::range<3> block_size(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE);
@@ -9791,7 +6399,7 @@ static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx,
 template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
 static void dequantize_block_sycl(const void *__restrict__ vx,
                                   dst_t *__restrict__ y, const int k,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
     const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE);
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9809,7 +6417,7 @@ static void dequantize_block_sycl(const void *__restrict__ vx,
 
 template <typename dst_t>
 static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9826,7 +6434,7 @@ static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9843,7 +6451,7 @@ static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb32 = k / 32;
     const int nb = (k + 255) / 256;
     {
@@ -9861,7 +6469,7 @@ static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb32 = k / 32;
     const int nb = (k + 255) / 256;
     {
@@ -9880,7 +6488,7 @@ static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9897,7 +6505,7 @@ static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9914,7 +6522,7 @@ static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
-                                     dpct::queue_ptr stream) {
+                                     queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9931,7 +6539,7 @@ static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k,
-                                        dpct::queue_ptr stream) {
+                                        queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9952,7 +6560,7 @@ static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k,
-                                        dpct::queue_ptr stream) {
+                                        queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9973,7 +6581,7 @@ static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k,
-                                        dpct::queue_ptr stream) {
+                                        queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -9994,7 +6602,7 @@ static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -10015,7 +6623,7 @@ static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k,
-                                      dpct::queue_ptr stream) {
+                                      queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -10035,7 +6643,7 @@ static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k,
-                                        dpct::queue_ptr stream) {
+                                        queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -10056,7 +6664,7 @@ static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k,
-                                        dpct::queue_ptr stream) {
+                                        queue_ptr stream) {
     const int nb = k / QK_K;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -10076,7 +6684,7 @@ static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     const int nb = (k + QK_K - 1) / QK_K;
       {
             dpct::has_capability_or_fail(stream->get_device(),
@@ -10097,7 +6705,7 @@ static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
 
 template <typename dst_t>
 static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     const int nb = (k + QK_K - 1) / QK_K;
       {
             dpct::has_capability_or_fail(stream->get_device(),
@@ -10120,7 +6728,7 @@ static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k,
 template <typename src_t, typename dst_t>
 static void convert_unary_sycl(const void *__restrict__ vx,
                                dst_t *__restrict__ y, const int k,
-                               dpct::queue_ptr stream) {
+                               queue_ptr stream) {
     const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE;
     {
         dpct::has_capability_or_fail(stream->get_device(),
@@ -10241,7 +6849,7 @@ static to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) {
 static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead
@@ -10263,7 +6871,7 @@ static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y,
 static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10284,7 +6892,7 @@ static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y,
 static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10305,7 +6913,7 @@ static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y,
 static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10326,7 +6934,7 @@ static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
 static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10347,7 +6955,7 @@ static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
 static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2
     const int block_num_y = (nrows + ny - 1) / ny;
@@ -10363,7 +6971,7 @@ static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y,
 static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int ny = 2 / K_QUANTS_PER_ITERATION;
     const int block_num_y = (nrows + ny - 1) / ny;
@@ -10379,7 +6987,7 @@ static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y,
 static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int ny = 2 / K_QUANTS_PER_ITERATION;
     const int block_num_y = (nrows + ny - 1) / ny;
@@ -10395,7 +7003,7 @@ static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y,
 static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const sycl::range<3> block_dims(1, 1, 32);
     stream->parallel_for(
@@ -10408,7 +7016,7 @@ static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y,
 static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
                                              float *dst, const int ncols,
                                              const int nrows,
-                                             dpct::queue_ptr stream) {
+                                             queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int ny = 2 / K_QUANTS_PER_ITERATION;
     const int block_num_y = (nrows + ny - 1) / ny;
@@ -10424,7 +7032,7 @@ static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
 static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y,
                                          float *dst, const int ncols,
                                          const int nrows,
-                                         dpct::queue_ptr stream) {
+                                         queue_ptr stream) {
     GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10446,7 +7054,7 @@ static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y,
 static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK4_0 == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10470,7 +7078,7 @@ static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK4_1 == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10494,7 +7102,7 @@ static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK5_0 == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10518,7 +7126,7 @@ static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK5_1 == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10542,7 +7150,7 @@ static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK8_0 == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10566,7 +7174,7 @@ static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10590,7 +7198,7 @@ static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10614,7 +7222,7 @@ static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10638,7 +7246,7 @@ static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10662,7 +7270,7 @@ static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy,
                                        float *dst, const int ncols,
                                        const int nrows,
-                                       dpct::queue_ptr stream) {
+                                       queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10687,7 +7295,7 @@ static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10708,7 +7316,7 @@ static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy,
                                          float *dst, const int ncols,
                                          const int nrows,
-                                         dpct::queue_ptr stream) {
+                                         queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10733,7 +7341,7 @@ static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy,
                                          float *dst, const int ncols,
                                          const int nrows,
-                                         dpct::queue_ptr stream) {
+                                         queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10758,7 +7366,7 @@ static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10783,7 +7391,7 @@ static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10807,7 +7415,7 @@ static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10832,7 +7440,7 @@ static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10853,7 +7461,7 @@ static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK4_NL == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10875,7 +7483,7 @@ static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy,
 static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy,
                                           float *dst, const int ncols,
                                           const int nrows,
-                                          dpct::queue_ptr stream) {
+                                          queue_ptr stream) {
     GGML_ASSERT(ncols % QK_K == 0);
     const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
     const sycl::range<3> block_nums(1, 1, block_num_y);
@@ -10898,12 +7506,12 @@ static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11013,12 +7621,12 @@ static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11128,12 +7736,12 @@ static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11243,12 +7851,12 @@ static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11358,12 +7966,12 @@ static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11473,12 +8081,12 @@ static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11594,12 +8202,12 @@ static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11721,12 +8329,12 @@ static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11842,12 +8450,12 @@ static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -11963,12 +8571,12 @@ static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy,
                                         float *dst, const int ncols_x,
                                         const int nrows_x, const int ncols_y,
                                         const int nrows_y, const int nrows_dst,
-                                        dpct::queue_ptr stream) try {
+                                        queue_ptr stream) try {
 
     int id;
     SYCL_CHECK(
         CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = g_device_caps[id].cc;
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
 
     int mmq_x, mmq_y, nwarps;
     if (compute_capability >= VER_GEN13) {
@@ -12085,7 +8693,7 @@ static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y,
                                            const int nrows_x,
                                            const int nchannels_x,
                                            const int nchannels_y,
-                                           dpct::queue_ptr stream) {
+                                           queue_ptr stream) {
 
     const sycl::range<3> block_nums(nchannels_y, nrows_x, 1);
     const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -12105,7 +8713,7 @@ static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y,
 static void ggml_mul_mat_vec_nc_f16_f32_sycl(
     const void *vx, const float *y, float *dst, const int ncols_x,
     const int nrows_x, const int row_stride_x, const int nchannels_x,
-    const int nchannels_y, const int channel_stride_x, dpct::queue_ptr stream) {
+    const int nchannels_y, const int channel_stride_x, queue_ptr stream) {
 
     const sycl::range<3> block_nums(nchannels_y, nrows_x, 1);
     const sycl::range<3> block_dims(1, 1, WARP_SIZE);
@@ -12129,7 +8737,7 @@ ggml_cpy_f16_f32_sycl(const char *cx, char *cdst, const int ne, const int ne00,
                       const int nb01, const int nb02, const int nb03,
                       const int ne10, const int ne11, const int ne12,
                       const int nb10, const int nb11, const int nb12,
-                      const int nb13, dpct::queue_ptr stream) {
+                      const int nb13, queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12156,7 +8764,7 @@ static void ggml_cpy_f32_f32_sycl(const char *cx, char *cdst, const int ne,
                                   const int ne11, const int ne12,
                                   const int nb10, const int nb11,
                                   const int nb12, const int nb13,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12183,7 +8791,7 @@ static void ggml_cpy_f32_f16_sycl(const char *cx, char *cdst, const int ne,
                                   const int ne11, const int ne12,
                                   const int nb10, const int nb11,
                                   const int nb12, const int nb13,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12210,7 +8818,7 @@ static void ggml_cpy_f32_q8_0_sycl(const char *cx, char *cdst, const int ne,
                                    const int ne11, const int ne12,
                                    const int nb10, const int nb11,
                                    const int nb12, const int nb13,
-                                   dpct::queue_ptr stream) {
+                                   queue_ptr stream) {
 
     GGML_ASSERT(ne % QK8_0 == 0);
     const int num_blocks = ne / QK8_0;
@@ -12232,7 +8840,7 @@ static void ggml_cpy_f32_q4_0_sycl(const char *cx, char *cdst, const int ne,
                                    const int ne11, const int ne12,
                                    const int nb10, const int nb11,
                                    const int nb12, const int nb13,
-                                   dpct::queue_ptr stream) {
+                                   queue_ptr stream) {
 
     GGML_ASSERT(ne % QK4_0 == 0);
     const int num_blocks = ne / QK4_0;
@@ -12254,7 +8862,7 @@ static void ggml_cpy_f32_q4_1_sycl(const char *cx, char *cdst, const int ne,
                                    const int ne11, const int ne12,
                                    const int nb10, const int nb11,
                                    const int nb12, const int nb13,
-                                   dpct::queue_ptr stream) {
+                                   queue_ptr stream) {
 
     GGML_ASSERT(ne % QK4_1 == 0);
     const int num_blocks = ne / QK4_1;
@@ -12276,7 +8884,7 @@ static void ggml_cpy_f16_f16_sycl(const char *cx, char *cdst, const int ne,
                                   const int ne11, const int ne12,
                                   const int nb10, const int nb11,
                                   const int nb12, const int nb13,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12303,7 +8911,7 @@ static void ggml_cpy_i16_i16_sycl(const char *cx, char *cdst, const int ne,
                                   const int ne11, const int ne12,
                                   const int nb10, const int nb11,
                                   const int nb12, const int nb13,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12330,7 +8938,7 @@ static void ggml_cpy_i32_i32_sycl(const char *cx, char *cdst, const int ne,
                                   const int ne11, const int ne12,
                                   const int nb10, const int nb11,
                                   const int nb12, const int nb13,
-                                  dpct::queue_ptr stream) {
+                                  queue_ptr stream) {
 
     const int num_blocks = (ne + SYCL_CPY_BLOCK_SIZE - 1) / SYCL_CPY_BLOCK_SIZE;
     {
@@ -12350,7 +8958,7 @@ static void ggml_cpy_i32_i32_sycl(const char *cx, char *cdst, const int ne,
 }
 
 static void scale_f32_sycl(const float *x, float *dst, const float scale,
-                           const int k, dpct::queue_ptr stream) {
+                           const int k, queue_ptr stream) {
     const int num_blocks = (k + SYCL_SCALE_BLOCK_SIZE - 1) / SYCL_SCALE_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -12363,7 +8971,7 @@ static void scale_f32_sycl(const float *x, float *dst, const float scale,
 
 static void clamp_f32_sycl(const float *x, float *dst, const float min,
                            const float max, const int k,
-                           dpct::queue_ptr stream) {
+                           queue_ptr stream) {
     const int num_blocks = (k + SYCL_CLAMP_BLOCK_SIZE - 1) / SYCL_CLAMP_BLOCK_SIZE;
     stream->parallel_for(
         sycl::nd_range<3>(sycl::range<3>(1, 1, num_blocks) *
@@ -12378,7 +8986,7 @@ template <typename T>
 static void rope_sycl(const T *x, T *dst, int ncols, int nrows,
                       const int32_t *pos, float freq_scale, int p_delta_rows,
                       float freq_base, float ext_factor, float attn_factor,
-                      rope_corr_dims corr_dims, dpct::queue_ptr stream) {
+                      rope_corr_dims corr_dims, queue_ptr stream) {
     GGML_ASSERT(ncols % 2 == 0);
     const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
     const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
@@ -12423,7 +9031,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
                            const int32_t *pos, float freq_scale,
                            int p_delta_rows, float freq_base, float ext_factor,
                            float attn_factor, rope_corr_dims corr_dims,
-                           const float * freq_factors, dpct::queue_ptr stream) {
+                           const float * freq_factors, queue_ptr stream) {
     GGML_ASSERT(ncols % 2 == 0);
     const sycl::range<3> block_dims(1, SYCL_ROPE_BLOCK_SIZE, 1);
     const int num_blocks_x = (ncols + 2*SYCL_ROPE_BLOCK_SIZE - 1) / (2*SYCL_ROPE_BLOCK_SIZE);
@@ -12479,7 +9087,7 @@ static void rope_neox_sycl(const T *x, T *dst, int ncols, int n_dims, int nrows,
 }
 
 static void sum_rows_f32_sycl(const float *x, float *dst, const int ncols,
-                              const int nrows, dpct::queue_ptr stream) {
+                              const int nrows, queue_ptr stream) {
     const sycl::range<3> block_dims(1, 1, WARP_SIZE);
     const sycl::range<3> block_nums(1, nrows, 1);
     stream->parallel_for(sycl::nd_range<3>(block_nums * block_dims, block_dims),
@@ -12499,7 +9107,7 @@ static int next_power_of_2(int x) {
 
 static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols,
                                  const int nrows, ggml_sort_order order,
-                                 dpct::queue_ptr stream) {
+                                 queue_ptr stream) {
     // bitonic sort requires ncols to be power of 2
     const int ncols_pad = next_power_of_2(ncols);
 
@@ -12507,8 +9115,6 @@ static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols,
     const sycl::range<3> block_nums(1, nrows, 1);
     const size_t shared_mem = ncols_pad * sizeof(int);
 
-    // GGML_ASSERT(shared_mem <= ggml_cuda_info().devices[ggml_cuda_get_device()].smpb);
-
     if (order == GGML_SORT_ORDER_ASC) {
         stream->submit([&](sycl::handler &cgh) {
             sycl::local_accessor<uint8_t, 1> dpct_local_acc_ct1(
@@ -12545,7 +9151,7 @@ static void argsort_f32_i32_sycl(const float *x, int *dst, const int ncols,
 static void diag_mask_inf_f32_sycl(const float *x, float *dst,
                                    const int ncols_x, const int nrows_x,
                                    const int rows_per_channel, const int n_past,
-                                   dpct::queue_ptr stream) {
+                                   queue_ptr stream) {
     const sycl::range<3> block_dims(1, SYCL_DIAG_MASK_INF_BLOCK_SIZE, 1);
     const int block_num_x = (ncols_x + SYCL_DIAG_MASK_INF_BLOCK_SIZE - 1) / SYCL_DIAG_MASK_INF_BLOCK_SIZE;
     const sycl::range<3> block_nums(1, block_num_x, nrows_x);
@@ -12561,7 +9167,7 @@ template <bool vals_smem, int ncols_template, int block_size_template>
 static void soft_max_f32_submitter(const float * x, const float * mask, float * dst, const int ncols_par,
                                    const int nrows_y, const float scale, const float max_bias, const float m0,
                                    const float m1, uint32_t n_head_log2, sycl::range<3> block_nums, sycl::range<3> block_dims,
-                                   const size_t n_local_scratch, dpct::queue_ptr stream) {
+                                   const size_t n_local_scratch, queue_ptr stream) {
     stream->submit([&](sycl::handler &cgh) {
         sycl::local_accessor<float, 1> local_buf_acc(n_local_scratch, cgh);
 
@@ -12579,9 +9185,9 @@ static void soft_max_f32_submitter(const float * x, const float * mask, float *
 static void soft_max_f32_sycl(const float * x, const float * mask,
                               float * dst, const int ncols_x, const int nrows_x,
                               const int nrows_y, const float scale, const float max_bias,
-                              dpct::queue_ptr stream) {
+                              queue_ptr stream) {
     int nth = WARP_SIZE;
-    int max_block_size = g_work_group_size;
+    int max_block_size = GROUP_SIZE;
     while (nth < ncols_x && nth < max_block_size) nth *= 2;
     if (nth>max_block_size) nth = max_block_size;
 
@@ -12662,7 +9268,7 @@ static void im2col_sycl(const float *x, T *dst, int IW, int IH,
                                 int OW, int OH, int KW, int KH, int IC,
                                 int offset_delta, int s0, int s1, int p0,
                                 int p1, int d0, int d1,
-                                dpct::queue_ptr stream) {
+                                queue_ptr stream) {
     const int parallel_elements = OW * KW * KH;
     const int num_blocks = (parallel_elements + SYCL_IM2COL_BLOCK_SIZE - 1) / SYCL_IM2COL_BLOCK_SIZE;
     sycl::range<3> block_nums(IC, OH, num_blocks);
@@ -12682,223 +9288,6 @@ static void im2col_sycl(const float *x, T *dst, int IW, int IH,
     }
 }
 
-// buffer pool for sycl
-#define MAX_SYCL_BUFFERS 256
-
-struct scoped_spin_lock {
-    std::atomic_flag& lock;
-    scoped_spin_lock(std::atomic_flag& lock) : lock(lock) {
-        while (lock.test_and_set(std::memory_order_acquire)) {
-            ; // spin
-        }
-    }
-    ~scoped_spin_lock() {
-        lock.clear(std::memory_order_release);
-    }
-    scoped_spin_lock(const scoped_spin_lock&) = delete;
-    scoped_spin_lock& operator=(const scoped_spin_lock&) = delete;
-};
-
-static std::atomic_flag g_sycl_pool_lock = ATOMIC_FLAG_INIT;
-
-// #define DEBUG_SYCL_MALLOC
-struct sycl_buffer {
-    void * ptr = nullptr;
-    size_t size = 0;
-};
-
-static sycl_buffer g_sycl_buffer_pool[GGML_SYCL_MAX_DEVICES][MAX_SYCL_BUFFERS];
-static size_t g_sycl_pool_size[GGML_SYCL_MAX_DEVICES] = {0};
-
-static void *ggml_sycl_pool_malloc_leg(int device_index, size_t size, size_t *actual_size) try {
-    scoped_spin_lock lock(g_sycl_pool_lock);
-    // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg device_index %d size=%lu\n", device_index, size);
-#ifdef DEBUG_SYCL_MALLOC
-    int nnz = 0;
-    size_t max_size = 0;
-#endif
-    size_t best_diff = 1ull << 36;
-    int ibest = -1;
-    for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) {
-        sycl_buffer& b = g_sycl_buffer_pool[device_index][i];
-        if (b.ptr != nullptr) {
-#ifdef DEBUG_SYCL_MALLOC
-            ++nnz;
-            if (b.size > max_size) max_size = b.size;
-#endif
-            if (b.size >= size) {
-                size_t diff = b.size - size;
-                if (diff < best_diff) {
-                    best_diff = diff;
-                    ibest = i;
-                    if (!best_diff) {
-                        void * ptr = b.ptr;
-                        *actual_size = b.size;
-                        b.ptr = nullptr;
-                        b.size = 0;
-                        // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg return 1 %p and rm in pool\n", ptr);
-                        return ptr;
-                    }
-                }
-            }
-        }
-    }
-    if (ibest >= 0) {
-        sycl_buffer& b = g_sycl_buffer_pool[device_index][ibest];
-        void * ptr = b.ptr;
-        *actual_size = b.size;
-        b.ptr = nullptr;
-        b.size = 0;
-        // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg return 2 %p and rm in pool\n", ptr);
-        return ptr;
-    }
-    void * ptr;
-    size_t look_ahead_size = (size_t) (1.05 * size);
-    look_ahead_size = 256 * ((look_ahead_size + 255)/256);
-
-    const dpct::queue_ptr stream = g_syclStreams[device_index][0];
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(ptr = (void *)sycl::malloc_device(
-                             look_ahead_size, *stream)));
-    *actual_size = look_ahead_size;
-    g_sycl_pool_size[device_index] += look_ahead_size;
-
-#ifdef DEBUG_SYCL_MALLOC
-    fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, id, nnz,
-            (uint32_t)(max_size/1024/1024), (uint32_t)(g_sycl_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024));
-#endif
-    // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%lu, return %p\n", look_ahead_size, ptr);
-    return ptr;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_sycl_pool_free_leg(int device_index, void *ptr, size_t size) try {
-    scoped_spin_lock lock(g_sycl_pool_lock);
-    const dpct::queue_ptr stream = g_syclStreams[device_index][0];
-    for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) {
-        sycl_buffer& b = g_sycl_buffer_pool[device_index][i];
-        if (b.ptr == nullptr) {
-            b.ptr = ptr;
-            b.size = size;
-            return;
-        }
-    }
-    fprintf(stderr, "WARNING: sycl buffer pool full, increase MAX_SYCL_BUFFERS\n");
-    SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *stream)));
-    g_sycl_pool_size[device_index] -= size;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-// pool with virtual memory
-/*
-DPCT1082:64: Migration of CUmemGenericAllocationHandle type is not supported.
-*/
-// static std::vector<CUmemGenericAllocationHandle>
-//     g_sycl_pool_handles[GGML_SYCL_MAX_DEVICES];
-static dpct::device_ptr g_sycl_pool_addr[GGML_SYCL_MAX_DEVICES] = {0};
-static size_t g_sycl_pool_used[GGML_SYCL_MAX_DEVICES] = {0};
-
-static void *ggml_sycl_pool_malloc_vmm(int device_index, size_t size, size_t *actual_size) try {
-    GGML_UNUSED(device_index);
-    GGML_UNUSED(size);
-    GGML_UNUSED(actual_size);
-    return NULL;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_sycl_pool_free_vmm(int device_index, void *ptr, size_t size) try {
-    scoped_spin_lock lock(g_sycl_pool_lock);
-#ifdef DEBUG_SYCL_MALLOC
-    printf("sycl pool[%d]: freed %llu bytes at %llx\n", device_index, (unsigned long long) size, ptr);
-#endif
-
-    g_sycl_pool_used[device_index] -= size;
-
-    // all deallocations must be in reverse order of the allocations
-    GGML_ASSERT(ptr == (void *) (g_sycl_pool_addr[device_index] + g_sycl_pool_used[device_index]));
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void *ggml_sycl_pool_malloc(int device_index, size_t size, size_t *actual_size) try {
-    if (g_device_caps[device_index].vmm) {
-        return ggml_sycl_pool_malloc_vmm(device_index, size, actual_size);
-    } else {
-        return ggml_sycl_pool_malloc_leg(device_index, size, actual_size);
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_sycl_pool_free(int device_index, void *ptr, size_t size) try {
-    if (g_device_caps[device_index].vmm) {
-        ggml_sycl_pool_free_vmm(device_index, ptr, size);
-    } else {
-        ggml_sycl_pool_free_leg(device_index, ptr, size);
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-
-template<typename T>
-struct sycl_pool_alloc {
-    int device_index = -1;
-    int device_id = -1;
-    T * ptr = nullptr;
-    size_t actual_size = 0;
-
-    // size is in number of elements
-    T * alloc(size_t size) {
-        GGML_ASSERT(ptr == nullptr);
-        device_id = get_current_device_id();
-        device_index = g_sycl_gpu_mgr->get_index(device_id);
-        ptr = (T *) ggml_sycl_pool_malloc(device_index, size * sizeof(T), &this->actual_size);
-        // GGML_SYCL_DEBUG("sycl_pool_alloc %lu return %p actual size=%lu\n", size * sizeof(T), ptr, this->actual_size);
-        return ptr;
-    }
-
-    sycl_pool_alloc(size_t size) {
-        alloc(size);
-    }
-
-    ~sycl_pool_alloc() {
-        if (ptr != nullptr) {
-            ggml_sycl_pool_free(device_index, ptr, actual_size);
-        }
-    }
-
-    T * get() {
-        return ptr;
-    }
-
-    sycl_pool_alloc() = default;
-    sycl_pool_alloc(const sycl_pool_alloc &) = delete;
-    sycl_pool_alloc(sycl_pool_alloc &&) = delete;
-    sycl_pool_alloc& operator=(const sycl_pool_alloc &) = delete;
-    sycl_pool_alloc& operator=(sycl_pool_alloc &&) = delete;
-};
 
 static bool g_sycl_loaded = false;
 
@@ -12950,21 +9339,6 @@ void ggml_backend_sycl_print_sycl_devices() {
     }
 }
 
-void print_gpu_device_list() {
-    GGML_ASSERT(g_sycl_gpu_mgr);
-
-    char* hint=NULL;
-    if (g_ggml_sycl_backend_gpu_mode == SYCL_SINGLE_GPU_MODE) {
-        hint = "use %d SYCL GPUs: [%s] with Max compute units:%d\n";
-    } else {
-        hint = "detect %d SYCL GPUs: [%s] with top Max compute units:%d\n";
-    }
-    fprintf(stderr, hint,
-        g_sycl_gpu_mgr->get_gpu_count(),
-        g_sycl_gpu_mgr->gpus_list.c_str(),
-        g_sycl_gpu_mgr->max_compute_units);
-}
-
 int get_sycl_env(const char *env_name, int default_val) {
     char *user_device_string = getenv(env_name);
     int user_number = default_val;
@@ -12986,11 +9360,11 @@ int get_work_group_size(int user_device_id) {
     return prop.get_max_work_group_size();
 }
 
-static void ggml_init_sycl() try {
+static void ggml_check_sycl() try {
     static bool initialized = false;
 
     if (!initialized) {
-        fprintf(stderr, "[SYCL] call ggml_init_sycl\n");
+        fprintf(stderr, "[SYCL] call ggml_check_sycl\n");
         g_ggml_sycl_debug = get_sycl_env("GGML_SYCL_DEBUG", 0);
 
         fprintf(stderr, "%s: GGML_SYCL_DEBUG: %d\n", __func__, g_ggml_sycl_debug);
@@ -13027,109 +9401,189 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-void ggml_init_by_gpus(int device_count) try {
-    g_device_count = device_count;
-    g_work_group_size = g_sycl_gpu_mgr->work_group_size;
+static ggml_sycl_device_info ggml_sycl_init() {
+    ggml_sycl_device_info info = {};
 
-    int64_t total_vram = 0;
-
-    print_gpu_device_list();
-
-    for (int id = 0; id < GGML_SYCL_MAX_DEVICES; ++id) {
-        g_device_caps[id].vmm = 0;
-        g_device_caps[id].device_id = -1;
-        g_device_caps[id].cc = 0;
-        g_tensor_split[id] = 0;
-        g_default_tensor_split[id] = 0;
+    info.device_count = dpct::dev_mgr::instance().device_count();
+    if (info.device_count == 0) {
+        fprintf(stderr, "%s: failed to initialize " GGML_SYCL_NAME ": %s\n", __func__);
+        return info;
     }
 
-    for (int i = 0; i < g_device_count; ++i) {
-        int device_id = g_sycl_gpu_mgr->gpus[i];
-        g_device_caps[i].vmm = 0;
+    GGML_ASSERT(info.device_count <= GGML_SYCL_MAX_DEVICES);
 
+    int64_t total_vram = 0;
+#if defined(GGML_SYCL_FORCE_MMQ)
+    fprintf(stderr, "%s: GGML_SYCL_FORCE_MMQ:   yes\n", __func__);
+#else
+    fprintf(stderr, "%s: GGML_SYCL_FORCE_MMQ:   no\n", __func__);
+#endif
+#if defined(SYCL_USE_XMX)
+    fprintf(stderr, "%s: SYCL_USE_XMX: yes\n", __func__);
+#else
+    fprintf(stderr, "%s: SYCL_USE_XMX: no\n", __func__);
+#endif
+    fprintf(stderr, "%s: found %d " GGML_SYCL_NAME " devices:\n", __func__, info.device_count);
+
+    for (int i = 0; i < info.device_count; ++i) {
+        info.devices[i].vmm = 0;
         dpct::device_info prop;
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info(
-            prop, dpct::dev_mgr::instance().get_device(device_id))));
+            prop, dpct::dev_mgr::instance().get_device(i))));
 
-        g_default_tensor_split[i] = total_vram;
+        info.default_tensor_split[i] = total_vram;
         total_vram += prop.get_global_mem_size();
 
-        g_device_caps[i].cc =
+        info.devices[i].cc =
             100 * prop.get_major_version() + 10 * prop.get_minor_version();
     }
 
-    for (int i = 0; i < g_device_count; ++i) {
-        g_default_tensor_split[i] /= total_vram;
+    for (int id = 0; id < info.device_count; ++id) {
+        info.default_tensor_split[id] /= total_vram;
+    }
+    return info;
+}
+
+const ggml_sycl_device_info & ggml_sycl_info() {
+    static ggml_sycl_device_info info = ggml_sycl_init();
+    return info;
+}
+
+/*
+device_index: device index from 0 to n (continue numbers).
+    It is used for device select/set in SYCL backend internal data structure.
+*/
+inline void check_allow_gpu_index(const int device_index) {
+  if (device_index >= ggml_sycl_info().device_count) {
+    char error_buf[256];
+    snprintf(
+        error_buf,
+        sizeof(error_buf),
+        "%s error: device_index:%d is out of range: [0-%d]",
+        __func__,
+        device_index,
+        ggml_sycl_info().device_count - 1);
+    fprintf(stderr, "%s\n", error_buf);
+    assert(false);
+  }
+}
+
+// buffer pool for sycl (legacy)
+struct ggml_sycl_pool_leg : public ggml_sycl_pool {
+    static const int MAX_SYCL_BUFFERS = 256;
+
+    int device;
+    queue_ptr qptr;
+    struct ggml_sycl_buffer {
+        void * ptr = nullptr;
+        size_t size = 0;
+    };
+
+    ggml_sycl_buffer buffer_pool[MAX_SYCL_BUFFERS] = {};
+    size_t pool_size = 0;
+
+    explicit ggml_sycl_pool_leg(queue_ptr qptr_, int device_) :
+        qptr(qptr_),
+        device(device_) {
     }
 
-    for (int i = 0; i < g_device_count; ++i) {
-        SYCL_CHECK(ggml_sycl_set_device(i));
-
-        // create sycl streams
-        for (int is = 0; is < MAX_STREAMS; ++is) {
-            SYCL_CHECK(CHECK_TRY_ERROR(
-                g_syclStreams[i][is] =
-                    dpct::get_current_device().create_queue(
-                        g_sycl_gpu_mgr->get_co_ctx(), dpct::get_current_device())));
+    ~ggml_sycl_pool_leg() {
+        for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) {
+            ggml_sycl_buffer & b = buffer_pool[i];
+            if (b.ptr != nullptr) {
+                SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(b.ptr, *qptr)));
+                pool_size -= b.size;
+            }
         }
-
-        const dpct::queue_ptr stream = g_syclStreams[i][0];
-        // create sycl handle
-        SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[i] = stream));
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-void *ggml_sycl_host_malloc(size_t size) try {
-    if (getenv("GGML_SYCL_NO_PINNED") != nullptr) {
-        return nullptr;
+        GGML_ASSERT(pool_size == 0);
     }
 
-    ggml_sycl_set_device(g_main_device);
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    void * alloc(size_t size, size_t * actual_size) override {
+#ifdef DEBUG_sycl_MALLOC
+        int nnz = 0;
+        size_t max_size = 0;
+#endif
+        size_t best_diff = 1ull << 36;
+        int ibest = -1;
+        for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) {
+            ggml_sycl_buffer& b = buffer_pool[i];
+            if (b.ptr != nullptr) {
+#ifdef DEBUG_sycl_MALLOC
+                ++nnz;
+                if (b.size > max_size) max_size = b.size;
+#endif
+                if (b.size >= size) {
+                    size_t diff = b.size - size;
+                    if (diff < best_diff) {
+                        best_diff = diff;
+                        ibest = i;
+                        if (!best_diff) {
+                            void * ptr = b.ptr;
+                            *actual_size = b.size;
+                            b.ptr = nullptr;
+                            b.size = 0;
+                            return ptr;
+                        }
+                    }
+                }
+            }
+        }
+        if (ibest >= 0) {
+            ggml_sycl_buffer& b = buffer_pool[ibest];
+            void * ptr = b.ptr;
+            *actual_size = b.size;
+            b.ptr = nullptr;
+            b.size = 0;
+            return ptr;
+        }
+        void * ptr;
+        size_t look_ahead_size = (size_t) (1.05 * size);
 
-    void * ptr = nullptr;
-    dpct::err0 err = CHECK_TRY_ERROR(
-        ptr = (void *)sycl::malloc_host(size, *main_stream));
+        SYCL_CHECK(
+            CHECK_TRY_ERROR(ptr = (void *)sycl::malloc_device(
+                                look_ahead_size, *qptr)));
+        *actual_size = look_ahead_size;
+        pool_size += look_ahead_size;
 
-    if (err != 0) {
-        // clear the error
-        fprintf(
-            stderr,
-            "WARNING: failed to allocate %.2f MB of pinned memory: %s\n",
-            size / 1024.0 / 1024.0,
-            "syclGetErrorString is not supported");
-        return nullptr;
+    #ifdef DEBUG_SYCL_MALLOC
+        fprintf(stderr, "%s[%d]: %d buffers, max_size = %u MB, pool_size = %u MB, requested %u MB\n", __func__, id, nnz,
+                (uint32_t)(max_size/1024/1024), (uint32_t)(g_sycl_pool_size[id]/1024/1024), (uint32_t)(size/1024/1024));
+    #endif
+        // GGML_SYCL_DEBUG("ggml_sycl_pool_malloc_leg look_ahead_size=%lu, return %p\n", look_ahead_size, ptr);
+        return ptr;
     }
 
-    return ptr;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
+    void free(void * ptr, size_t size) override {
+        for (int i = 0; i < MAX_SYCL_BUFFERS; ++i) {
+            ggml_sycl_buffer& b = buffer_pool[i];
+            if (b.ptr == nullptr) {
+                b.ptr = ptr;
+                b.size = size;
+                return;
+            }
+        }
+        fprintf(stderr, "WARNING: sycl buffer pool full, increase MAX_sycl_BUFFERS\n");
+        SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *qptr)));
+        pool_size -= size;
+    }
+};
+
+std::unique_ptr<ggml_sycl_pool> ggml_backend_sycl_context::new_pool_for_device(queue_ptr qptr, int device) {
+    // TBD: NO VMM support
+    // if (ggml_sycl_info().devices[device].vmm) {
+    //     return std::unique_ptr<ggml_sycl_pool>(new ggml_sycl_pool_vmm(device));
+    // }
+   return std::unique_ptr<ggml_sycl_pool>(new ggml_sycl_pool_leg(qptr, device));
 }
 
-void ggml_sycl_host_free(void *ptr) try {
-    ggml_sycl_set_device(g_main_device);
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
-    SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, *main_stream)));
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
+// TBD pool with virtual memory management
+// struct ggml_sycl_pool_vmm : public ggml_sycl_pool
 
 static dpct::err0 ggml_sycl_cpy_tensor_2d(void *dst,
                                           const struct ggml_tensor *src,
                                           int64_t i3, int64_t i2,
                                           int64_t i1_low, int64_t i1_high,
-                                          dpct::queue_ptr stream) try {
+                                          queue_ptr stream) try {
 
     dpct::memcpy_direction kind;
     char * src_ptr;
@@ -13195,10 +9649,10 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-static void ggml_sycl_op_get_rows(const ggml_tensor *src0,
+static void ggml_sycl_op_get_rows(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                   const ggml_tensor *src1, ggml_tensor *dst,
                                   const float *src0_d, const float *src1_d,
-                                  float *dst_d, const dpct::queue_ptr &stream) {
+                                  float *dst_d, const queue_ptr &stream) {
 
     GGML_ASSERT(src1->type == GGML_TYPE_I32);
     GGML_ASSERT(dst->type == GGML_TYPE_F32);
@@ -13211,26 +9665,26 @@ static void ggml_sycl_op_get_rows(const ggml_tensor *src0,
 
     switch (src0->type) {
         case GGML_TYPE_F16:
-            get_rows_sycl_float(src0, src1, dst, (const sycl::half *)src0_d,
+            get_rows_sycl_float(ctx, src0, src1, dst, (const sycl::half *)src0_d,
                                 src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_F32:
-            get_rows_sycl_float(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl_float(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_Q4_0:
-            get_rows_sycl<QK4_0, QR4_0, dequantize_q4_0>(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl<QK4_0, QR4_0, dequantize_q4_0>(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_Q4_1:
-            get_rows_sycl<QK4_1, QR4_1, dequantize_q4_1>(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl<QK4_1, QR4_1, dequantize_q4_1>(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_Q5_0:
-            get_rows_sycl<QK5_0, QR5_0, dequantize_q5_0>(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl<QK5_0, QR5_0, dequantize_q5_0>(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_Q5_1:
-            get_rows_sycl<QK5_1, QR5_1, dequantize_q5_1>(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl<QK5_1, QR5_1, dequantize_q5_1>(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         case GGML_TYPE_Q8_0:
-            get_rows_sycl<QK8_0, QR8_0, dequantize_q8_0>(src0, src1, dst, src0_d, src1_i32, dst_d, stream);
+            get_rows_sycl<QK8_0, QR8_0, dequantize_q8_0>(ctx, src0, src1, dst, src0_d, src1_i32, dst_d, stream);
             break;
         default:
             // TODO: k-quants
@@ -13241,25 +9695,25 @@ static void ggml_sycl_op_get_rows(const ggml_tensor *src0,
 }
 
 template <class op>
-inline void ggml_sycl_op_bin_bcast(const ggml_tensor *src0,
+inline void ggml_sycl_op_bin_bcast(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                    const ggml_tensor *src1, ggml_tensor *dst,
                                    const float *src0_dd, const float *src1_dd,
                                    float *dst_dd,
-                                   const dpct::queue_ptr &main_stream) {
+                                   const queue_ptr &main_stream) {
 
     if (src0->type == GGML_TYPE_F32 && dst->type == GGML_TYPE_F32) {
-        op()(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
+        op()(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
     } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F16) {
-        op()(src0, src1, dst, (const sycl::half *)src0_dd, src1_dd,
+        op()(ctx, src0, src1, dst, (const sycl::half *)src0_dd, src1_dd,
              (sycl::half *)dst_dd, main_stream);
     } else if (src0->type == GGML_TYPE_F16 && dst->type == GGML_TYPE_F32) {
-        op()(src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, dst_dd,
+        op()(ctx, src0, src1, dst, (const sycl::half *)src0_dd, src1_dd, dst_dd,
              main_stream);
     } else if (src0->type == GGML_TYPE_I32 && dst->type == GGML_TYPE_I32) {
-        op()(src0, src1, dst, (const int32_t *)src0_dd, (const int32_t *)src1_dd, (int32_t *)dst_dd,
+        op()(ctx, src0, src1, dst, (const int32_t *)src0_dd, (const int32_t *)src1_dd, (int32_t *)dst_dd,
              main_stream);
     } else if (src0->type == GGML_TYPE_I16 && dst->type == GGML_TYPE_I16) {
-        op()(src0, src1, dst, (const int16_t *)src0_dd, (const int16_t *)src1_dd, (int16_t *)dst_dd,
+        op()(ctx, src0, src1, dst, (const int16_t *)src0_dd, (const int16_t *)src1_dd, (int16_t *)dst_dd,
              main_stream);
     } else {
         fprintf(stderr, "%s: unsupported types: dst: %s, src0: %s, src1: %s\n", __func__,
@@ -13268,30 +9722,30 @@ inline void ggml_sycl_op_bin_bcast(const ggml_tensor *src0,
     }
 }
 
-static void ggml_sycl_op_repeat(const ggml_tensor *src0,
+static void ggml_sycl_op_repeat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                 const ggml_tensor *src1, ggml_tensor *dst,
                                 const float *src0_d, const float *src1_d,
                                 float *dst_d,
-                                const dpct::queue_ptr &main_stream) {
+                                const queue_ptr &main_stream) {
 
-    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_repeat>>(dst, src0, dst, nullptr, src0_d, dst_d, main_stream);
+    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_repeat>>(ctx, dst, src0, dst, nullptr, src0_d, dst_d, main_stream);
 
     (void) src1;
     (void) src1_d;
 }
 
-inline void ggml_sycl_op_add(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_add(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
-    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_add>>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
+    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_add>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
 }
 
-inline void ggml_sycl_op_acc(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_acc(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
@@ -13308,26 +9762,26 @@ inline void ggml_sycl_op_acc(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) dst;
 }
 
-inline void ggml_sycl_op_mul(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_mul(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
-    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_mul>>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
+    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_mul>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
 }
 
-inline void ggml_sycl_op_div(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_div(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
-    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_div>>(src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
+    ggml_sycl_op_bin_bcast<bin_bcast_sycl<op_div>>(ctx, src0, src1, dst, src0_dd, src1_dd, dst_dd, main_stream);
 }
 
-inline void ggml_sycl_op_gelu(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13339,10 +9793,10 @@ inline void ggml_sycl_op_gelu(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_silu(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_silu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13354,11 +9808,11 @@ inline void ggml_sycl_op_silu(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_gelu_quick(const ggml_tensor *src0,
+inline void ggml_sycl_op_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                     const ggml_tensor *src1, ggml_tensor *dst,
                                     const float *src0_dd, const float *src1_dd,
                                     float *dst_dd,
-                                    const dpct::queue_ptr &main_stream) {
+                                    const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13370,10 +9824,10 @@ inline void ggml_sycl_op_gelu_quick(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_tanh(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13384,10 +9838,10 @@ inline void ggml_sycl_op_tanh(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_relu(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13399,11 +9853,11 @@ inline void ggml_sycl_op_relu(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-static void ggml_sycl_op_hardsigmoid(const ggml_tensor *src0,
+static void ggml_sycl_op_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                      const ggml_tensor *src1, ggml_tensor *dst,
                                      const float *src0_dd, const float *src1_dd,
                                      float *dst_dd,
-                                     const dpct::queue_ptr &main_stream) {
+                                     const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13415,10 +9869,10 @@ static void ggml_sycl_op_hardsigmoid(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-static void ggml_sycl_op_hardswish(const ggml_tensor *src0,
+static void ggml_sycl_op_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                    const ggml_tensor *src1, ggml_tensor *dst,
                                    const float *src0_dd, const float *src1_dd,
-                                   float *dst_dd, const dpct::queue_ptr &main_stream) {
+                                   float *dst_dd, const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13430,11 +9884,11 @@ static void ggml_sycl_op_hardswish(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_leaky_relu(const ggml_tensor *src0,
+inline void ggml_sycl_op_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                     const ggml_tensor *src1, ggml_tensor *dst,
                                     const float *src0_dd, const float *src1_dd,
                                     float *dst_dd,
-                                    const dpct::queue_ptr &main_stream) {
+                                    const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13449,10 +9903,10 @@ inline void ggml_sycl_op_leaky_relu(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_sqr(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13464,10 +9918,10 @@ inline void ggml_sycl_op_sqr(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_norm(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13485,11 +9939,11 @@ inline void ggml_sycl_op_norm(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_group_norm(const ggml_tensor *src0,
+inline void ggml_sycl_op_group_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                     const ggml_tensor *src1, ggml_tensor *dst,
                                     const float *src0_dd, const float *src1_dd,
                                     float *dst_dd,
-                                    const dpct::queue_ptr &main_stream) {
+                                    const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13503,11 +9957,11 @@ inline void ggml_sycl_op_group_norm(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_concat(const ggml_tensor *src0,
+inline void ggml_sycl_op_concat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                 const ggml_tensor *src1, ggml_tensor *dst,
                                 const float *src0_dd, const float *src1_dd,
                                 float *dst_dd,
-                                const dpct::queue_ptr &main_stream) {
+                                const queue_ptr &main_stream) {
 #pragma message("TODO: generalize concat kernel for dim != 2")
 #pragma message("      https://github.com/ggerganov/llama.cpp/pull/7563")
     int dim = dst->op_params[0];
@@ -13525,11 +9979,11 @@ inline void ggml_sycl_op_concat(const ggml_tensor *src0,
     (void) dst;
 }
 
-inline void ggml_sycl_op_upscale(const ggml_tensor *src0,
+inline void ggml_sycl_op_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                  const ggml_tensor *src1, ggml_tensor *dst,
                                  const float *src0_dd, const float *src1_dd,
                                  float *dst_dd,
-                                 const dpct::queue_ptr &main_stream) {
+                                 const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(dst->type == GGML_TYPE_F32);
@@ -13548,10 +10002,10 @@ inline void ggml_sycl_op_upscale(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_pad(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_pad(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                              ggml_tensor *dst, const float *src0_dd,
                              const float *src1_dd, float *dst_dd,
-                             const dpct::queue_ptr &main_stream) {
+                             const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT(dst->type == GGML_TYPE_F32);
@@ -13566,11 +10020,11 @@ inline void ggml_sycl_op_pad(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_rms_norm(const ggml_tensor *src0,
+inline void ggml_sycl_op_rms_norm(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                   const ggml_tensor *src1, ggml_tensor *dst,
                                   const float *src0_dd, const float *src1_dd,
                                   float *dst_dd,
-                                  const dpct::queue_ptr &main_stream) {
+                                  const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -13589,11 +10043,11 @@ inline void ggml_sycl_op_rms_norm(const ggml_tensor *src0,
 }
 
 inline void ggml_sycl_op_mul_mat_q(
-    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
     const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
     float *dst_dd_i, const int64_t row_low, const int64_t row_high,
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const dpct::queue_ptr &stream) try {
+    const queue_ptr &stream) try {
 
     const int64_t ne00 = src0->ne[0];
 
@@ -13610,7 +10064,7 @@ inline void ggml_sycl_op_mul_mat_q(
 
     // the main device has a larger memory buffer to hold the results from all GPUs
     // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into
-    const int64_t nrows_dst = dst->backend == GGML_BACKEND_TYPE_GPU && device_id == g_main_device ? ne0 : row_diff;
+    const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff;
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
@@ -13661,13 +10115,13 @@ catch (sycl::exception const &exc) {
 static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_SYCL_MAX_DEVICES> & tensor_split) {
     int64_t min_compute_capability = INT_MAX;
     int64_t max_compute_capability = INT_MIN;
-    for (int i = 0; i < g_device_count; ++i) {
-        if (tensor_split[i] < (i + 1 < g_device_count ? tensor_split[i + 1] : 1.0f)) {
-            if (min_compute_capability > g_device_caps[i].cc) {
-                min_compute_capability = g_device_caps[i].cc;
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
+        if (tensor_split[i] < (i + 1 < ggml_sycl_info().device_count ? tensor_split[i + 1] : 1.0f)) {
+            if (min_compute_capability > ggml_sycl_info().devices[i].cc) {
+                min_compute_capability = ggml_sycl_info().devices[i].cc;
             }
-            if (max_compute_capability < g_device_caps[i].cc) {
-                max_compute_capability = g_device_caps[i].cc;
+            if (max_compute_capability < ggml_sycl_info().devices[i].cc) {
+                max_compute_capability = ggml_sycl_info().devices[i].cc;
             }
         }
     }
@@ -13707,11 +10161,12 @@ static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_SYC
 }
 
 inline void ggml_sycl_op_mul_mat_vec_q(
+    ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
     const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
     float *dst_dd_i, const int64_t row_low, const int64_t row_high,
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const dpct::queue_ptr &stream) {
+    const queue_ptr &stream) {
 
     const int64_t ne10 = src1->ne[0];
     GGML_ASSERT(ne10 % QK8_1 == 0);
@@ -13725,7 +10180,7 @@ inline void ggml_sycl_op_mul_mat_vec_q(
 
     // the main device has a larger memory buffer to hold the results from all GPUs
     // nrows_dst == nrows of the matrix that the kernel writes into
-    const int64_t nrows_dst = dst->backend == GGML_BACKEND_TYPE_GPU && id == g_main_device ? ne00 : row_diff;
+    const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff;
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
@@ -13799,11 +10254,12 @@ inline void ggml_sycl_op_mul_mat_vec_q(
 
 
 inline void ggml_sycl_op_dequantize_mul_mat_vec(
+    ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
     const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
     float *dst_dd_i, const int64_t row_low, const int64_t row_high,
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const dpct::queue_ptr &stream) {
+    const queue_ptr &stream) {
 
     const int64_t ne00 = src0->ne[0];
     const int64_t row_diff = row_high - row_low;
@@ -13812,7 +10268,7 @@ inline void ggml_sycl_op_dequantize_mul_mat_vec(
 
     // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics
 #ifdef GGML_SYCL_F16
-    sycl_pool_alloc<sycl::half> src1_dfloat_a;
+    ggml_sycl_pool_alloc<sycl::half> src1_dfloat_a(ctx.pool());
     sycl::half *src1_dfloat = nullptr; // dfloat == half
 
     bool src1_convert_f16 =
@@ -13878,11 +10334,12 @@ inline void ggml_sycl_op_dequantize_mul_mat_vec(
 }
 
 inline void ggml_sycl_op_mul_mat_sycl(
+    ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
     const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
     float *dst_dd_i, const int64_t row_low, const int64_t row_high,
     const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const dpct::queue_ptr &stream) try {
+    const queue_ptr &stream) try {
 
     GGML_ASSERT(src0_dd_i  != nullptr);
     GGML_ASSERT(src1_ddf_i != nullptr);
@@ -13901,7 +10358,7 @@ inline void ggml_sycl_op_mul_mat_sycl(
 
     // the main device has a larger memory buffer to hold the results from all GPUs
     // ldc == nrows of the matrix that cuBLAS writes into
-    int ldc = dst->backend == GGML_BACKEND_TYPE_GPU && id == g_main_device ? ne0 : row_diff;
+    int ldc = id == ctx.device ? ne0 : row_diff;
 
 #ifdef GGML_SYCL_F16
     bool use_fp16 = true;  // TODO(Yu) SYCL capability check
@@ -13913,7 +10370,7 @@ inline void ggml_sycl_op_mul_mat_sycl(
         dst->op_params[0] == GGML_PREC_DEFAULT) {
 
         // GGML_SYCL_DEBUG("ggml_sycl_op_mul_mat_sycl - fp16 path\n");
-        sycl_pool_alloc<sycl::half> src0_as_f16;
+        ggml_sycl_pool_alloc<sycl::half> src0_as_f16(ctx.pool());
         if (src0->type != GGML_TYPE_F16) {
             const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src0->type);
             GGML_ASSERT(to_fp16_sycl != nullptr);
@@ -13925,7 +10382,7 @@ inline void ggml_sycl_op_mul_mat_sycl(
                                          ? (const sycl::half *)src0_dd_i
                                          : src0_as_f16.get();
 
-        sycl_pool_alloc<sycl::half> src1_as_f16;
+        ggml_sycl_pool_alloc<sycl::half> src1_as_f16(ctx.pool());
         if (src1->type != GGML_TYPE_F16) {
             const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type);
             GGML_ASSERT(to_fp16_sycl != nullptr);
@@ -13936,26 +10393,24 @@ inline void ggml_sycl_op_mul_mat_sycl(
         const sycl::half *src1_ptr = src1->type == GGML_TYPE_F16
                 ? (const sycl::half *)src1->data + src1_padded_row_size
                                          : src1_as_f16.get();
-        sycl_pool_alloc<sycl::half> dst_f16(row_diff * src1_ncols);
+        ggml_sycl_pool_alloc<sycl::half> dst_f16(ctx.pool(), row_diff * src1_ncols);
 
         const sycl::half alpha_f16 = 1.0f;
         const sycl::half beta_f16 = 0.0f;
-        SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[id] = stream));
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm(
-            *g_sycl_handles[id], oneapi::mkl::transpose::trans,
+            *stream, oneapi::mkl::transpose::trans,
             oneapi::mkl::transpose::nontrans, row_diff, src1_ncols, ne10,
             &alpha_f16, src0_ptr, dpct::library_data_t::real_half, ne00,
             src1_ptr, dpct::library_data_t::real_half, ne10, &beta_f16,
             dst_f16.get(), dpct::library_data_t::real_half, ldc,
             dpct::library_data_t::real_half)));
-        g_sycl_handles[id]->wait();
         const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(GGML_TYPE_F16);
         to_fp32_sycl(dst_f16.get(), dst_dd_i, row_diff*src1_ncols, stream);
     }
     else {
         // GGML_SYCL_DEBUG("ggml_sycl_op_mul_mat_sycl - fp32 path\n");
-        sycl_pool_alloc<float> src0_ddq_as_f32;
-        sycl_pool_alloc<float> src1_ddq_as_f32;
+        ggml_sycl_pool_alloc<float> src0_ddq_as_f32(ctx.pool());
+        ggml_sycl_pool_alloc<float> src1_ddq_as_f32(ctx.pool());
         if (src0->type != GGML_TYPE_F32) {
             const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(src0->type);
             GGML_ASSERT(to_fp32_sycl != nullptr);
@@ -13974,14 +10429,12 @@ inline void ggml_sycl_op_mul_mat_sycl(
         const float alpha = 1.0f;
         const float beta = 0.0f;
 
-        SYCL_CHECK(CHECK_TRY_ERROR(g_sycl_handles[id] = stream));
         SYCL_CHECK(CHECK_TRY_ERROR(oneapi::mkl::blas::column_major::gemm(
-            *g_sycl_handles[id], oneapi::mkl::transpose::trans,
+            *stream, oneapi::mkl::transpose::trans,
             oneapi::mkl::transpose::nontrans, row_diff, src1_ncols, ne10,
-            dpct::get_value(&alpha, *g_sycl_handles[id]), src0_ddf_i, ne00,
-            src1_ddf1_i, ne10, dpct::get_value(&beta, *g_sycl_handles[id]),
+            dpct::get_value(&alpha, *stream), src0_ddf_i, ne00,
+            src1_ddf1_i, ne10, dpct::get_value(&beta, *stream),
             dst_dd_i, ldc)));
-        g_sycl_handles[id]->wait();
     }
     (void) dst;
     (void) src1_ddq_i;
@@ -13993,10 +10446,10 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_rope(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                               ggml_tensor *dst, const float *src0_dd,
                               const float *src1_dd, float *dst_dd,
-                              const dpct::queue_ptr &main_stream) {
+                              const queue_ptr &main_stream) {
     const ggml_tensor * src2 = dst->src[2];
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);
@@ -14084,10 +10537,10 @@ inline void ggml_sycl_op_rope(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-static void ggml_sycl_op_pool2d(const ggml_tensor *src0,
+static void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                 const ggml_tensor *src1, ggml_tensor *dst,
                                 const float *src0_dd, const float *src1_dd,
-                                float *dst_dd, const dpct::queue_ptr &main_stream) {
+                                float *dst_dd, const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14126,11 +10579,11 @@ static void ggml_sycl_op_pool2d(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_im2col(const ggml_tensor *src0,
+inline void ggml_sycl_op_im2col(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                 const ggml_tensor *src1, ggml_tensor *dst,
                                 const float *src0_dd, const float *src1_dd,
                                 float *dst_dd,
-                                const dpct::queue_ptr &main_stream) {
+                                const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F16);
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
@@ -14167,11 +10620,11 @@ inline void ggml_sycl_op_im2col(const ggml_tensor *src0,
     (void) src0_dd;
 }
 
-inline void ggml_sycl_op_sum_rows(const ggml_tensor *src0,
+inline void ggml_sycl_op_sum_rows(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                   const ggml_tensor *src1, ggml_tensor *dst,
                                   const float *src0_dd, const float *src1_dd,
                                   float *dst_dd,
-                                  const dpct::queue_ptr &main_stream) {
+                                  const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14186,11 +10639,11 @@ inline void ggml_sycl_op_sum_rows(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_argsort(const ggml_tensor *src0,
+inline void ggml_sycl_op_argsort(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                  const ggml_tensor *src1, ggml_tensor *dst,
                                  const float *src0_dd, const float *src1_dd,
                                  float *dst_dd,
-                                 const dpct::queue_ptr &main_stream) {
+                                 const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_I32);
@@ -14207,11 +10660,11 @@ inline void ggml_sycl_op_argsort(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_diag_mask_inf(const ggml_tensor *src0,
+inline void ggml_sycl_op_diag_mask_inf(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                        const ggml_tensor *src1,
                                        ggml_tensor *dst, const float *src0_dd,
                                        const float *src1_dd, float *dst_dd,
-                                       const dpct::queue_ptr &main_stream) {
+                                       const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14229,11 +10682,11 @@ inline void ggml_sycl_op_diag_mask_inf(const ggml_tensor *src0,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_soft_max(const ggml_tensor *src0,
+inline void ggml_sycl_op_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                   const ggml_tensor *src1, ggml_tensor *dst,
                                   const float *src0_dd, const float *src1_dd,
                                   float *dst_dd,
-                                  const dpct::queue_ptr &main_stream) {
+                                  const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14256,10 +10709,10 @@ inline void ggml_sycl_op_soft_max(const ggml_tensor *src0,
                       nrows_x, nrows_y, scale, max_bias, main_stream);
 }
 
-inline void ggml_sycl_op_scale(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_scale(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                                ggml_tensor *dst, const float *src0_dd,
                                const float *src1_dd, float *dst_dd,
-                               const dpct::queue_ptr &main_stream) {
+                               const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14279,10 +10732,10 @@ inline void ggml_sycl_op_scale(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_clamp(const ggml_tensor *src0, const ggml_tensor *src1,
+inline void ggml_sycl_op_clamp(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                                ggml_tensor *dst, const float *src0_dd,
                                const float *src1_dd, float *dst_dd,
-                               const dpct::queue_ptr &main_stream) {
+                               const queue_ptr &main_stream) {
 
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
@@ -14304,7 +10757,7 @@ inline void ggml_sycl_op_clamp(const ggml_tensor *src0, const ggml_tensor *src1,
     (void) src1_dd;
 }
 
-static void ggml_sycl_op_flatten(const ggml_tensor *src0,
+static void ggml_sycl_op_flatten(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                  const ggml_tensor *src1, ggml_tensor *dst,
                                  const ggml_sycl_op_flatten_t op) try {
     const int64_t nrows0 = ggml_nrows(src0);
@@ -14319,66 +10772,22 @@ static void ggml_sycl_op_flatten(const ggml_tensor *src0,
     ggml_tensor_extra_gpu * src1_extra = use_src1 ? (ggml_tensor_extra_gpu *) src1->extra : nullptr;
     ggml_tensor_extra_gpu * dst_extra  =            (ggml_tensor_extra_gpu *)  dst->extra;
 
-    const bool src0_on_device =             src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT;
-    const bool src1_on_device = use_src1 && src1->backend == GGML_BACKEND_TYPE_GPU;
-    const bool  dst_on_device =              dst->backend == GGML_BACKEND_TYPE_GPU;
-
     // dd = data device
-    float * src0_ddf = nullptr;
-    float * src1_ddf = nullptr;
-    float *  dst_ddf = nullptr;
+    float * src0_ddf = (float *) src0->data;
+    float * src1_ddf = use_src1 ? (float *) src1->data : nullptr;
+    float *  dst_ddf = (float *) dst->data;
 
-    sycl_pool_alloc<float> src0_f;
-    sycl_pool_alloc<float> src1_f;
-    sycl_pool_alloc<float>  dst_f;
+    ggml_sycl_pool_alloc<float> src0_f(ctx.pool());
+    ggml_sycl_pool_alloc<float> src1_f(ctx.pool());
+    ggml_sycl_pool_alloc<float>  dst_f(ctx.pool());
 
-    ggml_sycl_set_device(g_main_device);
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
-    // GGML_SYCL_DEBUG("g_main_device=%d, main_stream=%p src0_on_device=%d, src1_on_device=%d, dst_on_device=%d\n",
-        // g_main_device, main_stream, src0_on_device, src1_on_device, dst_on_device);
+    ggml_sycl_set_device(ctx.device);
+    queue_ptr main_stream = ctx.stream();
+    // GGML_SYCL_DEBUG("ctx.device=%d, main_stream=%p src0_on_device=%d, src1_on_device=%d, dst_on_device=%d\n",
+        // ctx.device, main_stream, src0_on_device, src1_on_device, dst_on_device);
 
-    if (src0_on_device) {
-        src0_ddf = (float *) src0_extra->data_device[g_main_device];
-    } else {
-        src0_ddf = src0_f.alloc(ggml_nelements(src0));
-        // GGML_SYCL_DEBUG("before ggml_sycl_cpy_tensor_2d src0_ddf=%p, src0=%p\n", src0_ddf, src0);
-        SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src0_ddf, src0, 0, 0, 0, nrows0, main_stream));
-    }
-
-    if (use_src1) {
-        if (src1_on_device) {
-            src1_ddf = (float *) src1_extra->data_device[g_main_device];
-        } else {
-            src1_ddf = src1_f.alloc(ggml_nelements(src1));
-            SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src1_ddf, src1, 0, 0, 0, nrows1, main_stream));
-        }
-    }
-    if (dst_on_device) {
-        dst_ddf = (float *) dst_extra->data_device[g_main_device];
-    } else {
-        dst_ddf = dst_f.alloc(ggml_nelements(dst));
-    }
-
-    // GGML_SYCL_DEBUG("op src0=%p, src1=%p, dst=%p, src0_ddf=%p, src1_ddf=%p, dst_ddf=%p, main_stream=%p\n",
-        // src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream);
     // do the computation
-    op(src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream);
-    /*
-    DPCT1010:89: SYCL uses exceptions to report errors and does not use the
-    error codes. The call was replaced with 0. You need to rewrite this code.
-    */
-    SYCL_CHECK(0);
-
-    // copy dst to host if necessary
-    if (!dst_on_device) {
-        SYCL_CHECK(CHECK_TRY_ERROR(
-            main_stream->memcpy(dst->data, dst_ddf, ggml_nbytes(dst)).wait()));
-    }
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        SYCL_CHECK(CHECK_TRY_ERROR(
-            dpct::get_current_device().queues_wait_and_throw()));
-    }
+    op(ctx, src0, src1, dst, src0_ddf, src1_ddf, dst_ddf, main_stream);
     // print_ggml_tensor("tensor", dst);
 }
 catch (sycl::exception const &exc) {
@@ -14388,7 +10797,7 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-static void ggml_sycl_set_peer_access(const int n_tokens) {
+static void ggml_sycl_set_peer_access(const int n_tokens, int main_device) {
     static bool peer_access_enabled = false;
 
     const bool enable_peer_access = n_tokens <= GGML_SYCL_PEER_MAX_BATCH_SIZE;
@@ -14398,19 +10807,18 @@ static void ggml_sycl_set_peer_access(const int n_tokens) {
     }
 
 #ifdef NDEBUG
-    for (int i = 0; i < g_device_count; ++i) {
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         SYCL_CHECK(ggml_sycl_set_device(i));
-        // SYCL_CHECK(syclDeviceSynchronize());
     }
 
-    for (int i = 0; i < g_device_count; ++i) {
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         SYCL_CHECK(ggml_sycl_set_device(i));
 
-        for (int id_other = 0; id_other < g_device_count; ++id_other) {
+        for (int id_other = 0; id_other < ggml_sycl_info().device_count; ++id_other) {
             if (i == id_other) {
                 continue;
             }
-            if (i != g_main_device && id_other != g_main_device) {
+            if (i != main_device && id_other != main_device) {
                 continue;
             }
 
@@ -14434,7 +10842,7 @@ struct ggml_backend_sycl_split_buffer_type_context {
     std::array<float, GGML_SYCL_MAX_DEVICES> tensor_split;
 };
 
-static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
+static void ggml_sycl_op_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                  const ggml_tensor *src1, ggml_tensor *dst,
                                  ggml_sycl_op_mul_mat_t op,
                                  const bool convert_src1_to_q8_1) try {
@@ -14469,7 +10877,6 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
     ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
     ggml_tensor_extra_gpu *  dst_extra = (ggml_tensor_extra_gpu *)  dst->extra;
 
-    const bool src0_on_device = src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT;
     const bool src0_is_contiguous = ggml_is_contiguous(src0);
     const bool src1_is_contiguous = ggml_is_contiguous(src1);
 
@@ -14489,10 +10896,10 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
     }
 
     struct dev_data {
-        sycl_pool_alloc<char> src0_dd_alloc;
-        sycl_pool_alloc<float> src1_ddf_alloc;
-        sycl_pool_alloc<char> src1_ddq_alloc;
-        sycl_pool_alloc<float> dst_dd_alloc;
+        ggml_sycl_pool_alloc<char> src0_dd_alloc;
+        ggml_sycl_pool_alloc<float> src1_ddf_alloc;
+        ggml_sycl_pool_alloc<char> src1_ddq_alloc;
+        ggml_sycl_pool_alloc<float> dst_dd_alloc;
 
         char *src0_dd = nullptr;
         float *src1_ddf = nullptr; // float
@@ -14506,9 +10913,9 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
     dev_data dev[GGML_SYCL_MAX_DEVICES];
 
     int used_devices = 0;
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    queue_ptr main_stream = ctx.stream();
 
-    for (int i = 0; i < g_device_count; ++i) {
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         // by default, use all rows
         dev[i].row_low  = 0;
         dev[i].row_high = ne01;
@@ -14525,7 +10932,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
                 }
             }
 
-            if (i != g_device_count - 1) {
+            if (i != ggml_sycl_info().device_count - 1) {
                 dev[i].row_high  = ne01*tensor_split[i + 1];
                 if (dev[i].row_high < ne01) {
                     dev[i].row_high -= dev[i].row_high % rounding;
@@ -14534,33 +10941,33 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
         }
     }
 
-    for (int i = 0; i < g_device_count; ++i) {
-        if ((!split && i != g_main_device) || dev[i].row_low == dev[i].row_high) {
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
+        if ((!split && i != ctx.device) || dev[i].row_low == dev[i].row_high) {
             continue;
         }
 
         used_devices++;
 
-        const bool src1_on_device = src1->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device;
-        const bool  dst_on_device =  dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device;
+        const bool src1_on_device = i == ctx.device;
+        const bool  dst_on_device = i == ctx.device;
 
         ggml_sycl_set_device(i);
-        dpct::queue_ptr stream = g_syclStreams[i][0];
+        queue_ptr stream = ctx.stream(i, 0);
 
-        if (src0_on_device && src0_is_contiguous) {
-            dev[i].src0_dd = (char *) src0_extra->data_device[i];
+        if (src0_is_contiguous) {
+            dev[i].src0_dd = (char *) src0->data;
         } else {
-            dev[i].src0_dd = dev[i].src0_dd_alloc.alloc(ggml_nbytes(src0));
+            dev[i].src0_dd = dev[i].src0_dd_alloc.alloc(ctx.pool(i), ggml_nbytes(src0));
         }
 
         if (src1_on_device && src1_is_contiguous) {
-            dev[i].src1_ddf = (float *) src1_extra->data_device[i];
+            dev[i].src1_ddf = (float *) src1->data;
         } else {
-            dev[i].src1_ddf = dev[i].src1_ddf_alloc.alloc(ggml_nelements(src1));
+            dev[i].src1_ddf = dev[i].src1_ddf_alloc.alloc(ctx.pool(i), ggml_nelements(src1));
         }
 
         if (convert_src1_to_q8_1) {
-            dev[i].src1_ddq = dev[i].src1_ddq_alloc.alloc(nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs);
+            dev[i].src1_ddq = dev[i].src1_ddq_alloc.alloc(ctx.pool(i), nrows1*src1_padded_col_size*q8_1_ts/q8_1_bs);
 
             if (src1_on_device && src1_is_contiguous) {
                 quantize_row_q8_1_sycl(dev[i].src1_ddf, dev[i].src1_ddq, ne10, nrows1, src1_padded_col_size, stream);
@@ -14574,53 +10981,53 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
         }
 
         if (dst_on_device) {
-            dev[i].dst_dd = (float *) dst_extra->data_device[i];
+            dev[i].dst_dd = (float *) dst->data;
         } else {
             const size_t size_dst_ddf = split ? (dev[i].row_high - dev[i].row_low)*ne1 : ggml_nelements(dst);
-            dev[i].dst_dd = dev[i].dst_dd_alloc.alloc(size_dst_ddf);
+            dev[i].dst_dd = dev[i].dst_dd_alloc.alloc(ctx.pool(i), size_dst_ddf);
         }
     }
 
     // if multiple devices are used they need to wait for the main device
     // here an event is recorded that signals that the main device has finished calculating the input data
     if (split && used_devices > 1) {
-        ggml_sycl_set_device(g_main_device);
+        ggml_sycl_set_device(ctx.device);
         /*
         DPCT1024:91: The original code returned the error code that was further
         consumed by the program logic. This original code was replaced with 0.
         You may need to rewrite the program logic consuming the error code.
         */
         SYCL_CHECK(CHECK_TRY_ERROR(
-            *src0_extra->events[g_main_device][0] =
-                g_syclStreams[g_main_device][0]->ext_oneapi_submit_barrier()));
+            *src0_extra->events[ctx.device][0] =
+                ctx.stream()->ext_oneapi_submit_barrier()));
     }
 
     const int64_t src1_col_stride = split && used_devices > 1 ? MUL_MAT_SRC1_COL_STRIDE : ne11;
     for (int64_t src1_col_0 = 0; src1_col_0 < ne11; src1_col_0 += src1_col_stride) {
-        const int64_t is = split ? (src1_col_0/src1_col_stride) % MAX_STREAMS : 0;
+        const int64_t is = split ? (src1_col_0/src1_col_stride) % GGML_SYCL_MAX_STREAMS : 0;
         const int64_t src1_ncols = src1_col_0 + src1_col_stride > ne11 ? ne11 - src1_col_0 : src1_col_stride;
 
-        for (int i = 0; i < g_device_count; ++i) {
-            if ((!split && i != g_main_device) || dev[i].row_low == dev[i].row_high) {
+        for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
+            if ((!split && i != ctx.device) || dev[i].row_low == dev[i].row_high) {
                 continue;
             }
 
-            const bool src1_on_device = src1->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device;
-            const bool  dst_on_device =  dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device;
+            const bool src1_on_device = i == ctx.device;
+            const bool  dst_on_device = i == ctx.device;
             const int64_t row_diff = dev[i].row_high - dev[i].row_low;
 
             ggml_sycl_set_device(i);
-            dpct::queue_ptr stream = g_syclStreams[i][is];
+            queue_ptr stream = ctx.stream(i, is);
 
             // wait for main GPU data if necessary
-            if (split && (i != g_main_device || is != 0)) {
+            if (split && (i != ctx.device || is != 0)) {
                 /*
                 DPCT1009:163: SYCL uses exceptions to report errors and does not
                 use the error codes. The original code was commented out and a
                 warning string was inserted. You need to rewrite this code.
                 */
                 SYCL_CHECK(CHECK_TRY_ERROR(stream->ext_oneapi_submit_barrier(
-                    {*src0_extra->events[g_main_device][0]})));
+                    {*src0_extra->events[ctx.device][0]})));
             }
 
             for (int64_t i0 = 0; i0 < ne13*ne12; ++i0) {
@@ -14637,22 +11044,22 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
 
                 // the main device memory buffer can be on VRAM scratch, with space for all partial results
                 // in that case an offset on dst_ddf_i is needed
-                if (dst->backend == GGML_BACKEND_TYPE_GPU && i == g_main_device) {
+                if (i == ctx.device) {
                     dst_dd_i += dev[i].row_low; // offset is 0 if no tensor split
                 }
 
                 // copy src0, src1 to device if necessary
-                if (src1->backend == GGML_BACKEND_TYPE_GPU && src1_is_contiguous) {
-                    if (i != g_main_device) {
+                if (src1_is_contiguous) {
+                    if (i != ctx.device) {
                         if (convert_src1_to_q8_1) {
-                            char * src1_ddq_i_source = dev[g_main_device].src1_ddq + src1_ddq_i_offset;
+                            char * src1_ddq_i_source = dev[ctx.device].src1_ddq + src1_ddq_i_offset;
                           SYCL_CHECK(CHECK_TRY_ERROR(stream->memcpy(
                                 src1_ddq_i, src1_ddq_i_source,
                                 src1_ncols * src1_padded_col_size * q8_1_ts /
                                     q8_1_bs).wait()));
                         } else {
 
-                            float * src1_ddf_i_source = (float *) src1_extra->data_device[g_main_device];
+                            float * src1_ddf_i_source = (float *) src1_extra->data_device[ctx.device];
                             src1_ddf_i_source += (i0*ne11 + src1_col_0) * ne10;
 
                             SYCL_CHECK(CHECK_TRY_ERROR(dev2dev_memcpy(*stream, *main_stream,
@@ -14660,14 +11067,14 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
                                 src1_ncols * ne10 * sizeof(float))));
                         }
                     }
-                } else if (src1->backend == GGML_BACKEND_TYPE_CPU || (src1_on_device && !src1_is_contiguous)) {
+                } else if (src1_on_device && !src1_is_contiguous) {
                     SYCL_CHECK(ggml_sycl_cpy_tensor_2d(
                                    src1_ddf_i, src1, i03, i02, src1_col_0, src1_col_0+src1_ncols, stream));
                 } else {
                     GGML_ASSERT(false);
                 }
 
-                if (convert_src1_to_q8_1 && (src1->backend == GGML_BACKEND_TYPE_CPU || !src1_is_contiguous)) {
+                if (convert_src1_to_q8_1 && !src1_is_contiguous) {
                     quantize_row_q8_1_sycl(src1_ddf_i, src1_ddq_i, ne10, src1_ncols, src1_padded_col_size, stream);
                     /*
                     DPCT1010:92: SYCL uses exceptions to report errors and does
@@ -14677,14 +11084,14 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
                     SYCL_CHECK(0);
                 }
 
-                if (src1_col_0 == 0 && (!src0_on_device || !src0_is_contiguous) && i02 % i02_divisor == 0) {
+                if (src1_col_0 == 0 && !src0_is_contiguous && i02 % i02_divisor == 0) {
                     SYCL_CHECK(ggml_sycl_cpy_tensor_2d(src0_dd_i, src0, i03, i02/i02_divisor, dev[i].row_low, dev[i].row_high, stream));
                 }
                 if (src1->type == GGML_TYPE_F16) {
                     src1_padded_col_size = (i0 * ne11 + src1_col_0) * ne10;
                 }
                 // do the computation
-                SYCL_CHECK(CHECK_TRY_ERROR(op(src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i,
+                SYCL_CHECK(CHECK_TRY_ERROR(op(ctx, src0, src1, dst, src0_dd_i, src1_ddf_i, src1_ddq_i, dst_dd_i,
                     dev[i].row_low, dev[i].row_high, src1_ncols, src1_padded_col_size, stream)));
                 /*
                 DPCT1010:93: SYCL uses exceptions to report errors and does not
@@ -14695,17 +11102,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
 
                 // copy dst to host or other device if necessary
                 if (!dst_on_device) {
-                    void * dst_off_device;
-                    dpct::memcpy_direction kind;
-                    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-                        dst_off_device = dst->data;
-                        kind = dpct::device_to_host;
-                    } else if (dst->backend == GGML_BACKEND_TYPE_GPU) {
-                        dst_off_device = dst_extra->data_device[g_main_device];
-                        kind = dpct::device_to_device;
-                    } else {
-                        GGML_ASSERT(false);
-                    }
+                    void * dst_off_device = dst->data;
                     if (split) {
                         // src0 = weight matrix is saved as a transposed matrix for better memory layout.
                         // dst is NOT transposed.
@@ -14716,27 +11113,10 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
                         GGML_ASSERT(dst->nb[1] == ne0*sizeof(float));
                         dhf_dst_i += src1_col_0*ne0 + dev[i].row_low;
 
-                        //todo, dirty solution. Need be updated when device2device memcpy() is supported.
-                        if (kind == dpct::device_to_device) {
-                            size_t dst_size = ggml_nbytes_pad(dst);
-                            float *host_buf = (float *)malloc(dst_size);
-                            SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy(
-                                host_buf, ne0 * sizeof(float), dst_dd_i,
-                                row_diff * sizeof(float), row_diff * sizeof(float),
-                                src1_ncols, dpct::device_to_host, *stream)));
-                            dpct::dev_mgr::instance().get_device(g_sycl_gpu_mgr->gpus[i]).queues_wait_and_throw();
-                            SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy(
-                                dhf_dst_i, ne0 * sizeof(float), host_buf,
-                                row_diff * sizeof(float), row_diff * sizeof(float),
-                                src1_ncols, dpct::host_to_device, *main_stream)));
-                            dpct::dev_mgr::instance().get_device(g_sycl_gpu_mgr->gpus[g_main_device]).queues_wait_and_throw();
-                            free(host_buf);
-                        } else {
-                            SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy(
-                                dhf_dst_i, ne0 * sizeof(float), dst_dd_i,
-                                row_diff * sizeof(float), row_diff * sizeof(float),
-                                src1_ncols, kind, *stream)));
-                        }
+                        SYCL_CHECK(CHECK_TRY_ERROR(dpct::async_dpct_memcpy(
+                            dhf_dst_i, ne0 * sizeof(float), dst_dd_i,
+                            row_diff * sizeof(float), row_diff * sizeof(float),
+                            src1_ncols, dpct::device_to_device, *stream)));
                     } else {
                         float * dhf_dst_i = (float *) ((char *) dst_off_device + i02*nb2 + i03*nb3);
                         GGML_ASSERT(dst->nb[1] == ne0*sizeof(float));
@@ -14748,7 +11128,7 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
                 }
 
                 // add event for the main device to wait on until other device is done
-                if (split && (i != g_main_device || is != 0)) {
+                if (split && (i != ctx.device || is != 0)) {
                     /*
                     DPCT1024:94: The original code returned the error code that
                     was further consumed by the program logic. This original
@@ -14764,28 +11144,22 @@ static void ggml_sycl_op_mul_mat(const ggml_tensor *src0,
     }
 
     // main device waits for all other devices to be finished
-    if (split && g_device_count > 1) {
+    if (split && ggml_sycl_info().device_count > 1) {
         int64_t is_max = (ne11 + MUL_MAT_SRC1_COL_STRIDE - 1) / MUL_MAT_SRC1_COL_STRIDE;
-        is_max = is_max <= MAX_STREAMS ? is_max : MAX_STREAMS;
+        is_max = is_max <= GGML_SYCL_MAX_STREAMS ? is_max : GGML_SYCL_MAX_STREAMS;
 
-        ggml_sycl_set_device(g_main_device);
-        for (int i = 0; i < g_device_count; ++i) {
+        ggml_sycl_set_device(ctx.device);
+        for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
             if (dev[i].row_low == dev[i].row_high) {
                 continue;
             }
             for (int64_t is = 0; is < is_max; ++is) {
                 SYCL_CHECK(CHECK_TRY_ERROR(
-                    g_syclStreams[g_main_device][0]->ext_oneapi_submit_barrier(
+                    ctx.stream()->ext_oneapi_submit_barrier(
                         {*src0_extra->events[i][is]})));
             }
         }
     }
-
-    if (dst->backend == GGML_BACKEND_TYPE_CPU) {
-        SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-        SYCL_CHECK(CHECK_TRY_ERROR(
-            dpct::get_current_device().queues_wait_and_throw()));
-    }
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__
@@ -14794,149 +11168,134 @@ catch (sycl::exception const &exc) {
 }
 
 
-static void ggml_sycl_repeat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_repeat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_repeat);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_repeat);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_get_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_get_rows(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_get_rows);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_get_rows);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_add(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_add(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_add);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_add);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_acc(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_acc(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_acc);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_acc);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_mul(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_mul(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_mul);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_mul);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_div(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_div(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_div);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_div);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_gelu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_gelu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_gelu);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_silu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_silu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_silu);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_silu);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_gelu_quick(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_gelu_quick(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_gelu_quick);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_gelu_quick);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_tanh(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_tanh(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_tanh);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_tanh);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_relu);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_relu);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_hardsigmoid(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_hardsigmoid(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_hardsigmoid);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardsigmoid);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_hardswish(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_hardswish(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_hardswish);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_hardswish);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_leaky_relu(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_leaky_relu(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_leaky_relu);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_leaky_relu);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_sqr(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_sqr(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_sqr);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sqr);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_norm);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_norm);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_group_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_group_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_group_norm);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_group_norm);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_concat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_concat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_concat);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_concat);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_upscale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_upscale(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_upscale);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_upscale);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-static void ggml_sycl_pad(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_pad(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_pad);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_pad);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
 
-static void ggml_sycl_rms_norm(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_rms_norm(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_SYCL_DEBUG("call %s\n", __func__);
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_rms_norm);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_rms_norm);
     GGML_SYCL_DEBUG("call %s done\n", __func__);
 }
 
-bool ggml_sycl_can_mul_mat(const struct ggml_tensor * src0, const struct ggml_tensor * src1, struct ggml_tensor * dst) {
-    if (!g_sycl_loaded) return false;
-
-    const int64_t ne10 = src1->ne[0];
-
-    const int64_t ne0 = dst->ne[0];
-    const int64_t ne1 = dst->ne[1];
-
-    // TODO: find the optimal values for these
-    return (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type)) &&
-            src1->type == GGML_TYPE_F32 &&
-             dst->type == GGML_TYPE_F32 &&
-            (ne0 >= 32 && ne1 >= 32 && ne10 >= 32);
-}
-
-static void ggml_sycl_mul_mat_vec_p021(const ggml_tensor *src0,
+static void ggml_sycl_mul_mat_vec_p021(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                        const ggml_tensor *src1,
                                        ggml_tensor *dst) try {
     GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
@@ -14952,17 +11311,12 @@ static void ggml_sycl_mul_mat_vec_p021(const ggml_tensor *src0,
 
     const int64_t ne12 = src1->ne[2];
 
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+    queue_ptr main_stream = ctx.stream();
 
-    ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra;
-    void * src0_ddq = src0_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
-    float * src1_ddf = (float *) src1_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
-    float * dst_ddf = (float *) dst_extra->data_device[g_main_device];
+    void  * src0_ddq = src0->data;
+    float * src1_ddf = (float *) src1->data;
+    float * dst_ddf  = (float *) dst->data;
 
     ggml_mul_mat_p021_f16_f32_sycl(src0_ddq, src1_ddf, dst_ddf, ne00, ne01, ne02, ne12, main_stream);
 }
@@ -14972,7 +11326,7 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-static void ggml_sycl_mul_mat_vec_nc(const ggml_tensor *src0,
+static void ggml_sycl_mul_mat_vec_nc(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                      const ggml_tensor *src1,
                                      ggml_tensor *dst) try {
     GGML_ASSERT(!ggml_is_transposed(src0));
@@ -14991,17 +11345,12 @@ static void ggml_sycl_mul_mat_vec_nc(const ggml_tensor *src0,
 
     const int64_t ne12 = src1->ne[2];
 
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+    queue_ptr main_stream = ctx.stream();
 
-    ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra;
-    void * src0_ddq = src0_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
-    float * src1_ddf = (float *) src1_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
-    float * dst_ddf = (float *) dst_extra->data_device[g_main_device];
+    void  * src0_ddq = src0->data;
+    float * src1_ddf = (float *) src1->data;
+    float * dst_ddf  = (float *) dst->data;
 
     const int64_t row_stride_x = nb01 / sizeof(sycl::half);
     const int64_t channel_stride_x = nb02 / sizeof(sycl::half);
@@ -15039,7 +11388,8 @@ static void k_compute_batched_ptrs(const sycl::half *src0_as_f16,
     ptrs_dst[0*ne23 + i12 + i13*ne12] = (      char *)         dst + i12*nbd2 + i13*nbd3;
 }
 
-static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
+static void ggml_sycl_mul_mat_batched_sycl(ggml_backend_sycl_context & ctx,
+                                             const ggml_tensor *src0,
                                              const ggml_tensor *src1,
                                              ggml_tensor *dst) try {
     GGML_ASSERT(!ggml_is_transposed(src0));
@@ -15051,27 +11401,20 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
 
     const int64_t ne_dst = ggml_nelements(dst);
 
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+    queue_ptr main_stream = ctx.stream();;
 
     bool no_mixed_dtypes = main_stream->get_backend() == sycl::backend::ext_oneapi_cuda ||
                            main_stream->get_backend() == sycl::backend::ext_oneapi_hip;
 
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(g_sycl_handles[g_main_device] = main_stream));
 
-    ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra;
-    void * src0_ddq = src0_extra->data_device[g_main_device];
+    void * src0_ddq = src0->data;
     sycl::half *src0_as_f16 = (sycl::half *)src0_ddq;
-
-    ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
-    float * src1_ddf = (float *) src1_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
-    float * dst_ddf = (float *) dst_extra->data_device[g_main_device];
+    float * src1_ddf = (float *) src1->data;
+    float * dst_ddf = (float *) dst->data;
 
     // convert src1 to fp16
-    sycl_pool_alloc<sycl::half> src1_f16_alloc;
+    ggml_sycl_pool_alloc<sycl::half> src1_f16_alloc(ctx.pool());
     if (src1->type != GGML_TYPE_F16) {
         const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type);
         const int64_t ne_src1 = ggml_nelements(src1);
@@ -15082,7 +11425,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
     sycl::half *src1_f16 = src1->type == GGML_TYPE_F16 ? (sycl::half *)src1_ddf
                                                        : src1_f16_alloc.get();
 
-    sycl_pool_alloc<sycl::half> dst_f16;
+    ggml_sycl_pool_alloc<sycl::half> dst_f16(ctx.pool());
     char * dst_t;
 
     dpct::library_data_t cu_compute_type = dpct::library_data_t::real_float;
@@ -15130,7 +11473,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
     if (r2 == 1 && r3 == 1 && ggml_is_contiguous_2(src0) && ggml_is_contiguous_2(src1)) {
         // there is no broadcast and src0, src1 are contiguous across dims 2, 3
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch(
-            *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans,
+            *main_stream, oneapi::mkl::transpose::trans,
             oneapi::mkl::transpose::nontrans, ne01, ne11, ne10, alpha,
             (const char *)src0_as_f16, dpct::library_data_t::real_half,
             nb01 / nb00, nb02 / nb00,
@@ -15141,8 +11484,8 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
     } else {
         const int ne23 = ne12*ne13;
 
-        sycl_pool_alloc<const void *> ptrs_src(2*ne23);
-        sycl_pool_alloc<      void *> ptrs_dst(1*ne23);
+        ggml_sycl_pool_alloc<const void *> ptrs_src(ctx.pool(), 2*ne23);
+        ggml_sycl_pool_alloc<      void *> ptrs_dst(ctx.pool(), 1*ne23);
 
         sycl::range<3> block_dims(1, ne12, ne13);
         /*
@@ -15171,7 +11514,7 @@ static void ggml_sycl_mul_mat_batched_sycl(const ggml_tensor *src0,
             });
         }
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::gemm_batch(
-            *g_sycl_handles[g_main_device], oneapi::mkl::transpose::trans,
+            *main_stream, oneapi::mkl::transpose::trans,
             oneapi::mkl::transpose::nontrans, ne01, ne11, ne10, alpha,
             (const void **)(ptrs_src.get() + 0 * ne23),
             dpct::library_data_t::real_half, nb01 / nb00,
@@ -15216,19 +11559,26 @@ bool ggml_sycl_supports_dmmv(enum ggml_type type) {
     }
 }
 
-static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    const bool all_on_device =
-        (src0->backend == GGML_BACKEND_TYPE_GPU || src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT) &&
-        (src1->backend == GGML_BACKEND_TYPE_GPU) &&
-        ( dst->backend == GGML_BACKEND_TYPE_GPU);
-
-    const bool split = src0->backend == GGML_BACKEND_TYPE_GPU_SPLIT;
+static void ggml_sycl_mul_mat(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    const bool split = ggml_backend_buffer_is_sycl_split(src0->buffer);
 
     int64_t min_compute_capability = INT_MAX;
-    for (int i = 0; i < g_device_count; ++i) {
-        if (min_compute_capability > g_device_caps[i].cc && g_tensor_split[i] < (i + 1 < g_device_count ? g_tensor_split[i + 1] : 1.0f)) {
-            min_compute_capability = g_device_caps[i].cc;
+
+    if (split) {
+        ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *) src0->buffer->buft->context;
+        auto & tensor_split = buft_ctx->tensor_split;
+        for (int id = 0; id < ggml_sycl_info().device_count; ++id) {
+            // skip devices that are not going to do any work:
+            if (tensor_split[id] >= (id + 1 < ggml_sycl_info().device_count ? tensor_split[id + 1] : 1.0f)) {
+                continue;
+            }
+
+            if (min_compute_capability > ggml_sycl_info().devices[id].cc) {
+                min_compute_capability = ggml_sycl_info().devices[id].cc;
+            }
         }
+    } else {
+        min_compute_capability    = ggml_sycl_info().devices[ctx.device].cc;
     }
 
     // check data types and tensor shapes for custom matrix multiplication kernels:
@@ -15252,196 +11602,24 @@ static void ggml_sycl_mul_mat(const ggml_tensor * src0, const ggml_tensor * src1
 
     if (!split && src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && src1->ne[1] == 1) {
         // KQ single-batch
-        ggml_sycl_mul_mat_vec_p021(src0, src1, dst);
+        ggml_sycl_mul_mat_vec_p021(ctx, src0, src1, dst);
     } else if (!split && src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && src1->ne[1] == 1) {
         // KQV single-batch
-        ggml_sycl_mul_mat_vec_nc(src0, src1, dst);
+        ggml_sycl_mul_mat_vec_nc(ctx, src0, src1, dst);
     } else if (!split && src0->type == GGML_TYPE_F16 && (src1->type == GGML_TYPE_F16) && !ggml_is_transposed(src0) && !ggml_is_transposed(src1) && src1->ne[2]*src1->ne[3] > 1) {
         // KQ + KQV multi-batch
-        ggml_sycl_mul_mat_batched_sycl(src0, src1, dst);
+        ggml_sycl_mul_mat_batched_sycl(ctx, src0, src1, dst);
     } else if (use_dequantize_mul_mat_vec) {
-        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false);
+        ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_dequantize_mul_mat_vec, false);
     } else if (use_mul_mat_vec_q) {
-        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true);
+        ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_vec_q, true);
     } else if (use_mul_mat_q) {
-        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_q, true);
+        ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_q, true);
     } else {
-        ggml_sycl_op_mul_mat(src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false);
+        ggml_sycl_op_mul_mat(ctx, src0, src1, dst, ggml_sycl_op_mul_mat_sycl, false);
     }
 }
 
-#if 0
-template<typename ... Srcs>
-static __global__ void k_compute_batched_ptrs_id(
-        const void ** ptrs_src, void ** ptrs_dst,
-        int ne12, int ne13,
-        int ne23,
-        int nb02, int nb03,
-        int nb12, int nb13,
-        int nb2, int nb3,
-        int r2, int r3,
-        ggml_type src0_type, half * src0_as_f16, int64_t src0_ne,
-        const half * src1_f16, half * dst_f16,
-        const int32_t * ids, const int id,
-        Srcs... src0s) {
-
-    int i = ids[id];
-
-    half * src0_f16;
-    const void * srcs_ar[] = { (const half *) src0s... };
-    if (src0_type == GGML_TYPE_F16) {
-        src0_f16 = (half *) srcs_ar[i];
-    } else {
-        src0_f16 = src0_as_f16;
-        if (item_ct1.get_local_id(2) == 0 && threadIdx.y == 0) {
-            const to_fp16_sycl_t to_fp16 = ggml_get_to_fp16_sycl(src0_type);
-            to_fp16(srcs_ar[i], src0_f16, src0_ne, syclStreamFireAndForget);
-        }
-    }
-
-    int i13 = blockIdx.x * blockDim.x + item_ct1.get_local_id(2);
-    int i12 = blockIdx.y * blockDim.y + threadIdx.y;
-
-    if (i13 >= ne13 || i12 >= ne12) {
-        return;
-    }
-
-    int i03 = i13 / r3;
-    int i02 = i12 / r2;
-
-    ptrs_src[0*ne23 + i12 + i13*ne12] = (const char *) src0_f16 + i02*nb02   + i03*nb03;
-    ptrs_src[1*ne23 + i12 + i13*ne12] = (const char *) src1_f16 + i12*nb12/2 + i13*nb13/2;
-    ptrs_dst[0*ne23 + i12 + i13*ne12] = (      char *)  dst_f16 + i12* nb2/2 + i13* nb3/2;
-}
-
-static void ggml_sycl_mul_mat_id_sycl(ggml_tensor * dst) {
-    const struct ggml_tensor * ids = dst->src[0];
-    const struct ggml_tensor * src1 = dst->src[1];
-    const struct ggml_tensor * src00 = dst->src[2];
-
-    const int id = dst->op_params[0];
-
-    GGML_ASSERT(!ggml_is_transposed(src00));
-    GGML_ASSERT(!ggml_is_transposed(src1));
-
-    GGML_ASSERT(src00->backend != GGML_BACKEND_TYPE_GPU_SPLIT);
-    GGML_ASSERT(src1->type == GGML_TYPE_F32);
-
-    GGML_TENSOR_LOCALS(int64_t, ne0, src00, ne);
-
-    //const int64_t nb01 = src00->nb[1];
-    GGML_TENSOR_LOCALS(int64_t, nb0, src00, nb);
-
-    GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne);
-
-    GGML_TENSOR_LOCALS(int64_t, nb1, src1, nb);
-    //const int64_t nb11 = src1->nb[1];
-
-    const int64_t ne1 = ggml_nelements(src1);
-    const int64_t ne  = ggml_nelements(dst);
-
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    syclStream_t main_stream = g_syclStreams[g_main_device][0];
-
-    SYCL_CHECK(syclSetStream(g_sycl_handles[g_main_device], main_stream));
-
-    //ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra;
-    //void * src0_ddq = src0_extra->data_device[g_main_device];
-    //half * src0_as_f16 = (half *) src0_ddq;
-
-    ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
-    float * src1_ddf = (float *) src1_extra->data_device[g_main_device];
-
-    ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
-    float * dst_ddf = (float *) dst_extra->data_device[g_main_device];
-
-    // convert src1 to fp16
-    const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type);
-    GGML_ASSERT(to_fp16_sycl != nullptr);
-
-    size_t src1_as = 0;
-    half * src1_as_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, ne1 * sizeof(half), &src1_as);
-    to_fp16_sycl(src1_ddf, src1_as_f16, ne1, main_stream);
-
-    size_t dst_as = 0;
-    half * dst_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, ne * sizeof(half), &dst_as);
-
-    GGML_ASSERT(ne12 % ne02 == 0);
-    GGML_ASSERT(ne13 % ne03 == 0);
-
-    // broadcast factors
-    const int64_t r2 = ne12/ne02;
-    const int64_t r3 = ne13/ne03;
-
-    const half alpha_f16 = 1.0f;
-    const half beta_f16  = 0.0f;
-
-    // use syclGemmBatchedEx
-    const int ne23 = ne12*ne13;
-
-    const void ** ptrs_src = nullptr;
-          void ** ptrs_dst = nullptr;
-
-    size_t ptrs_src_s = 0;
-    size_t ptrs_dst_s = 0;
-
-    ptrs_src = (const void **) ggml_sycl_pool_malloc(g_main_device, 2*ne23*sizeof(void *), &ptrs_src_s);
-    ptrs_dst = (      void **) ggml_sycl_pool_malloc(g_main_device, 1*ne23*sizeof(void *), &ptrs_dst_s);
-
-    int64_t src0_ne = ggml_nelements(src00);
-    half * src0_as_f16 = nullptr;
-    size_t src0_as = 0;
-    if (src00->type != GGML_TYPE_F16) {
-        src0_as_f16 = (half *) ggml_sycl_pool_malloc(g_main_device, src0_ne * sizeof(half), &src0_as);
-    }
-
-    static_assert(GGML_MAX_SRC == 6, "GGML_MAX_SRC == 6");
-    dim3 block_dims(ne13, ne12);
-    k_compute_batched_ptrs_id<<<1, block_dims, 0, main_stream>>>(
-            ptrs_src, ptrs_dst,
-            ne12, ne13,
-            ne23,
-            ne00*ne01*sizeof(half), ne00*ne01*ne02*sizeof(half),
-            nb12, nb13,
-            dst->nb[2], dst->nb[3],
-            r2, r3,
-            src00->type, src0_as_f16, src0_ne,
-            src1_as_f16, dst_f16,
-            (const int *)((ggml_tensor_extra_gpu *)ids->extra)->data_device[g_main_device], id,
-            dst->src[2] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[2]->extra)->data_device[g_main_device] : nullptr,
-            dst->src[3] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[3]->extra)->data_device[g_main_device] : nullptr,
-            dst->src[4] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[4]->extra)->data_device[g_main_device] : nullptr,
-            dst->src[5] ? (const half *)((ggml_tensor_extra_gpu *)dst->src[5]->extra)->data_device[g_main_device] : nullptr
-    );
-    SYCL_CHECK(syclGetLastError());
-
-    SYCL_CHECK(
-    syclGemmBatchedEx(g_sycl_handles[g_main_device], CUBLAS_OP_T, CUBLAS_OP_N,
-            ne01, ne11, ne10,
-            &alpha_f16, (const void **) (ptrs_src + 0*ne23), SYCL_R_16F, ne00,
-                        (const void **) (ptrs_src + 1*ne23), SYCL_R_16F, ne10,
-            &beta_f16,  (      void **) (ptrs_dst + 0*ne23), SYCL_R_16F, ne01,
-            ne23,
-            CUBLAS_COMPUTE_16F,
-            CUBLAS_GEMM_DEFAULT_TENSOR_OP));
-
-    if (src0_as != 0) {
-        ggml_sycl_pool_free(g_main_device, src0_as_f16, src0_as);
-    }
-    if (ptrs_src_s != 0) {
-        ggml_sycl_pool_free(g_main_device, ptrs_src, ptrs_src_s);
-    }
-    if (ptrs_dst_s != 0) {
-        ggml_sycl_pool_free(g_main_device, ptrs_dst, ptrs_dst_s);
-    }
-
-    const to_fp32_sycl_t to_fp32_sycl = ggml_get_to_fp32_sycl(GGML_TYPE_F16);
-    to_fp32_sycl(dst_f16, dst_ddf, ne, main_stream);
-
-    ggml_sycl_pool_free(g_main_device, src1_as_f16, src1_as);
-    ggml_sycl_pool_free(g_main_device, dst_f16, dst_as);
-}
-#endif
 
 struct mmid_row_mapping {
     int32_t i1;
@@ -15508,7 +11686,7 @@ __dpct_inline__ static void k_copy_dst_from_contiguous(
     }
 }
 
-static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
+static void ggml_sycl_mul_mat_id(ggml_backend_sycl_context & ctx, const ggml_tensor *src0,
                                  const ggml_tensor *src1,
                                  ggml_tensor *dst) try {
     GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(src0->buffer) && "mul_mat_id does not support split buffers");
@@ -15516,7 +11694,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
     const ggml_tensor *ids = dst->src[2];
     GGML_TENSOR_BINARY_OP_LOCALS
 
-    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
+    const queue_ptr stream = ctx.stream();
 
     const int64_t n_as = ne02;
     const int64_t n_ids = ids->ne[0];
@@ -15552,13 +11730,13 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
 
     char *src0_original = src1->backend == GGML_BACKEND_TYPE_CPU
                               ? (char *)src0->data
-                              : (char *)src0_extra->data_device[g_main_device];
+                              : (char *)src0_extra->data_device[ctx.device];
     char *src1_original = src1->backend == GGML_BACKEND_TYPE_CPU
                               ? (char *)src1->data
-                              : (char *)src1_extra->data_device[g_main_device];
+                              : (char *)src1_extra->data_device[ctx.device];
     char *dst_original = dst->backend == GGML_BACKEND_TYPE_CPU
                              ? (char *)dst->data
-                             : (char *)dst_extra->data_device[g_main_device];
+                             : (char *)dst_extra->data_device[ctx.device];
 
     src0_row.ne[2] = 1;
     src0_row.ne[3] = 1;
@@ -15587,22 +11765,22 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
                 const int64_t i1 = id;
                 const int64_t i2 = i12;
 
-            src0_row_extra.data_device[g_main_device] =
+            src0_row_extra.data_device[ctx.device] =
                 src0_original + i02*nb02;
-            src1_row_extra.data_device[g_main_device] =
+            src1_row_extra.data_device[ctx.device] =
                 src1_original + + i11*nb11 + i12*nb12;
-            dst_row_extra.data_device[g_main_device] =
+            dst_row_extra.data_device[ctx.device] =
                 dst_original + i1*nb1   + i2*nb2;
 
-            ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
+            ggml_sycl_mul_mat(ctx, &src0_row, &src1_row, &dst_row);
             }
         }
     } else {
-        sycl_pool_alloc<char> src1_contiguous(sizeof(float)*ggml_nelements(src1));
-        sycl_pool_alloc<char>  dst_contiguous(sizeof(float)*ggml_nelements(dst));
+        ggml_sycl_pool_alloc<char> src1_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(src1));
+        ggml_sycl_pool_alloc<char>  dst_contiguous(ctx.pool(), sizeof(float)*ggml_nelements(dst));
 
-        src1_row_extra.data_device[g_main_device] = src1_contiguous.get();
-        dst_row_extra.data_device[g_main_device]  =  dst_contiguous.get();
+        src1_row_extra.data_device[ctx.device] = src1_contiguous.get();
+        dst_row_extra.data_device[ctx.device]  =  dst_contiguous.get();
 
         for (int64_t i02 = 0; i02 < n_as; i02++) {
             int64_t num_src1_rows = 0;
@@ -15625,8 +11803,8 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
             }
 
 
-            sycl_pool_alloc<int> dev_cur_src1_row(1);
-            sycl_pool_alloc<mmid_row_mapping> dev_row_mapping(num_src1_rows);
+            ggml_sycl_pool_alloc<int> dev_cur_src1_row(ctx.pool(), 1);
+            ggml_sycl_pool_alloc<mmid_row_mapping> dev_row_mapping(ctx.pool(), num_src1_rows);
             SYCL_CHECK(CHECK_TRY_ERROR(
                 stream->memset(dev_cur_src1_row.get(), 0, sizeof(int))));
 
@@ -15658,7 +11836,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
                 });
             }
 
-            src0_row_extra.data_device[g_main_device] = src0_original + i02*nb02;
+            src0_row_extra.data_device[ctx.device] = src0_original + i02*nb02;
 
             GGML_ASSERT(nb11 == sizeof(float)*ne10);
             GGML_ASSERT(nb1 == sizeof(float)*ne0);
@@ -15673,7 +11851,7 @@ static void ggml_sycl_mul_mat_id(const ggml_tensor *src0,
             dst_row.nb[2] = num_src1_rows*nb1;
             dst_row.nb[3] = num_src1_rows*nb1;
 
-            ggml_sycl_mul_mat(&src0_row, &src1_row, &dst_row);
+            ggml_sycl_mul_mat(ctx, &src0_row, &src1_row, &dst_row);
 
             {
                 sycl::range<3> block_dims(1, 1, std::min((unsigned int)ne0, 768u));
@@ -15703,35 +11881,29 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-static void ggml_sycl_scale(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_scale);
+static void ggml_sycl_scale(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_scale);
 }
 
-static void ggml_sycl_clamp(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_clamp);
+static void ggml_sycl_clamp(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_clamp);
 }
 
-static void ggml_sycl_cpy(const ggml_tensor *src0, const ggml_tensor *src1,
+static void ggml_sycl_cpy(ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1,
                           ggml_tensor *dst) try {
     const int64_t ne = ggml_nelements(src0);
     GGML_ASSERT(ne == ggml_nelements(src1));
 
-    GGML_ASSERT(src0->backend == GGML_BACKEND_TYPE_GPU);
-    GGML_ASSERT(src1->backend == GGML_BACKEND_TYPE_GPU);
-
     GGML_ASSERT(ggml_nbytes(src0) <= INT_MAX);
     GGML_ASSERT(ggml_nbytes(src1) <= INT_MAX);
 
     GGML_TENSOR_BINARY_OP_LOCALS;
 
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    dpct::queue_ptr main_stream = g_syclStreams[g_main_device][0];
+    SYCL_CHECK(ggml_sycl_set_device(ctx.device));
+    queue_ptr main_stream = ctx.stream();
 
-    const ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu *) src0->extra;
-    const ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu *) src1->extra;
-
-    char * src0_ddc = (char *) src0_extra->data_device[g_main_device];
-    char * src1_ddc = (char *) src1_extra->data_device[g_main_device];
+    char * src0_ddc = (char *) src0->data;
+    char * src1_ddc = (char *) src1->data;
 
     if (src0->type == GGML_TYPE_F32 && src1->type == GGML_TYPE_F32) {
         ggml_cpy_f32_f32_sycl (src0_ddc, src1_ddc, ne, ne00, ne01, ne02, nb00, nb01, nb02, nb03, ne10, ne11, ne12, nb10, nb11, nb12, nb13, main_stream);
@@ -15765,44 +11937,44 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-static void ggml_sycl_dup(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_dup(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     // TODO: why do we pass dst as src1 here?
-    ggml_sycl_cpy(src0, dst, nullptr);
+    ggml_sycl_cpy(ctx, src0, dst, nullptr);
     (void) src1;
 }
 
-static void ggml_sycl_diag_mask_inf(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_diag_mask_inf);
+static void ggml_sycl_diag_mask_inf(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_diag_mask_inf);
 }
 
-static void ggml_sycl_soft_max(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_soft_max);
+static void ggml_sycl_soft_max(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_soft_max);
 }
 
-static void ggml_sycl_rope(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_rope(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(ggml_is_contiguous(src0)); // TODO: this restriction is temporary until non-cont support is implemented
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_rope);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_rope);
 }
 
-static void ggml_sycl_pool2d(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_pool2d);
+static void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_pool2d);
 }
 
-static void ggml_sycl_im2col(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_im2col);
+static void ggml_sycl_im2col(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_im2col);
 }
 
-static void ggml_sycl_sum_rows(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_sum_rows(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(ggml_is_contiguous(src0));
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_sum_rows);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_sum_rows);
 }
 
-static void ggml_sycl_argsort(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_argsort(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     GGML_ASSERT(ggml_is_contiguous(src0));
-    ggml_sycl_op_flatten(src0, src1, dst, ggml_sycl_op_argsort);
+    ggml_sycl_op_flatten(ctx, src0, src1, dst, ggml_sycl_op_argsort);
 }
 
-static void ggml_sycl_nop(const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+static void ggml_sycl_nop(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
     (void) src0;
     (void) src1;
     (void) dst;
@@ -15814,184 +11986,17 @@ static size_t ggml_nbytes_split(const struct ggml_tensor * tensor, int nrows_spl
     return nrows_split*ggml_row_size(tensor->type, tensor->ne[0]);
 }
 
-void ggml_sycl_free_data(struct ggml_tensor *tensor) try {
-    if (!tensor || !tensor->extra || (tensor->backend != GGML_BACKEND_TYPE_GPU && tensor->backend != GGML_BACKEND_TYPE_GPU_SPLIT) ) {
-        return;
-    }
-
-    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
-
-    for (int i = 0; i < g_device_count; ++i) {
-        const dpct::queue_ptr stream = g_syclStreams[i][0];
-        if (extra->data_device[i] != nullptr) {
-            SYCL_CHECK(ggml_sycl_set_device(i));
-            SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(extra->data_device[i], *stream)));
-        }
-
-        for (int64_t is = 0; is < MAX_STREAMS; ++is) {
-            if (extra->events[i][is] != nullptr) {
-                SYCL_CHECK(ggml_sycl_set_device(i));
-                SYCL_CHECK(CHECK_TRY_ERROR(
-                    dpct::destroy_event(extra->events[i][is])));
-            }
-        }
-    }
-
-    delete extra;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static ggml_tensor_extra_gpu * g_temp_tensor_extras = nullptr;
-static size_t g_temp_tensor_extra_index = 0;
-
-static ggml_tensor_extra_gpu * ggml_sycl_alloc_temp_tensor_extra() {
-    if (g_temp_tensor_extras == nullptr) {
-        g_temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_SYCL_MAX_NODES];
-    }
-
-    size_t alloc_index = g_temp_tensor_extra_index;
-    g_temp_tensor_extra_index = (g_temp_tensor_extra_index + 1) % GGML_SYCL_MAX_NODES;
-    ggml_tensor_extra_gpu * extra = &g_temp_tensor_extras[alloc_index];
-    memset(extra, 0, sizeof(*extra));
-
-    return extra;
-}
-
-static void ggml_sycl_assign_buffers_impl(struct ggml_tensor *tensor,
-                                          bool scratch, bool force_inplace,
-                                          bool no_alloc) try {
-    if (scratch && g_scratch_size == 0) {
-        return;
-    }
-
-    tensor->backend = GGML_BACKEND_TYPE_GPU;
-
-    if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_TYPE_CPU) {
-        const ggml_op src0_op = tensor->src[0]->op;
-        if (src0_op == GGML_OP_RESHAPE || src0_op == GGML_OP_TRANSPOSE || src0_op == GGML_OP_VIEW || src0_op == GGML_OP_PERMUTE) {
-            ggml_sycl_assign_buffers_impl(tensor->src[0], scratch, force_inplace, no_alloc);
-        }
-    }
-    if (tensor->op == GGML_OP_CPY && tensor->src[1]->backend == GGML_BACKEND_TYPE_CPU) {
-        ggml_sycl_assign_buffers_impl(tensor->src[1], scratch, force_inplace, no_alloc);
-    }
-
-    if (scratch && no_alloc) {
-        return;
-    }
-
-    ggml_tensor_extra_gpu * extra;
-
-    const bool inplace = (tensor->src[0] != nullptr && tensor->src[0]->data == tensor->data) ||
-        tensor->op == GGML_OP_VIEW ||
-        force_inplace;
-    const size_t size = ggml_nbytes(tensor);
-
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
-
-    if (inplace && (tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU || tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT)) {
-        ggml_tensor_extra_gpu * src0_extra = (ggml_tensor_extra_gpu * ) tensor->src[0]->extra;
-        char * src0_ddc = (char *) src0_extra->data_device[g_main_device];
-        size_t offset = 0;
-        if (tensor->op == GGML_OP_VIEW) {
-            memcpy(&offset, tensor->op_params, sizeof(size_t));
-        }
-        extra = ggml_sycl_alloc_temp_tensor_extra();
-        extra->data_device[g_main_device] = src0_ddc + offset;
-    } else if (tensor->op == GGML_OP_CPY) {
-        ggml_tensor_extra_gpu * src1_extra = (ggml_tensor_extra_gpu * ) tensor->src[1]->extra;
-        void * src1_ddv = src1_extra->data_device[g_main_device];
-        extra = ggml_sycl_alloc_temp_tensor_extra();
-        extra->data_device[g_main_device] = src1_ddv;
-    } else if (scratch) {
-        GGML_ASSERT(size <= g_scratch_size);
-        if (g_scratch_offset + size > g_scratch_size) {
-            g_scratch_offset = 0;
-        }
-
-        char * data = (char *) g_scratch_buffer;
-        if (data == nullptr) {
-            SYCL_CHECK(CHECK_TRY_ERROR(
-                data = (char *)sycl::malloc_device(
-                    g_scratch_size, *stream)));
-            g_scratch_buffer = data;
-        }
-        extra = ggml_sycl_alloc_temp_tensor_extra();
-        extra->data_device[g_main_device] = data + g_scratch_offset;
-
-        g_scratch_offset += size;
-
-        GGML_ASSERT(g_scratch_offset <= g_scratch_size);
-    } else { // allocate new buffers outside of scratch
-        void * data;
-        SYCL_CHECK(CHECK_TRY_ERROR(data = (void *)sycl::malloc_device(
-                                        size, *stream)));
-        SYCL_CHECK(CHECK_TRY_ERROR(
-            (*stream).memset(data, 0, size).wait()));
-        extra = new ggml_tensor_extra_gpu;
-        memset(extra, 0, sizeof(*extra));
-        extra->data_device[g_main_device] = data;
-    }
-
-    tensor->extra = extra;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-void ggml_sycl_copy_to_device(struct ggml_tensor *tensor) try {
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-    GGML_ASSERT(ggml_is_contiguous(tensor));
-
-    ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
-    SYCL_CHECK(ggml_sycl_set_device(g_main_device));
-    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
-    SYCL_CHECK(CHECK_TRY_ERROR((*stream)
-                                    .memcpy(extra->data_device[g_main_device],
-                                            tensor->data, ggml_nbytes(tensor))
-                                    .wait()));
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-void ggml_sycl_assign_buffers(struct ggml_tensor * tensor) {
-    ggml_sycl_assign_buffers_impl(tensor, true, false, false);
-}
-
-void ggml_sycl_assign_buffers_no_alloc(struct ggml_tensor * tensor) {
-    ggml_sycl_assign_buffers_impl(tensor, true, false, true);
-}
-
-void ggml_sycl_assign_buffers_no_scratch(struct ggml_tensor * tensor) {
-    ggml_sycl_assign_buffers_impl(tensor, false, false, false);
-}
-
-void ggml_sycl_assign_buffers_force_inplace(struct ggml_tensor * tensor) {
-    ggml_sycl_assign_buffers_impl(tensor, false, true, false);
-}
-
 void ggml_sycl_set_main_device(const int main_device) try {
-    if (g_main_device == main_device) return;
+    if (dpct::get_current_device_id() == main_device) return;
     check_allow_gpu_index(main_device);
-    g_main_device = main_device;
-    g_main_device_id = g_sycl_gpu_mgr->gpus[main_device];
+    dpct::select_device(main_device);
 
     if (g_ggml_sycl_debug) {
         dpct::device_info prop;
         SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info(
-            prop, dpct::dev_mgr::instance().get_device(g_main_device_id))));
+            prop, dpct::dev_mgr::instance().get_device(main_device))));
         fprintf(stderr, "Using device %d (%s) as main device\n",
-                g_main_device_id, prop.get_name());
+                main_device, prop.get_name());
     }
 }
 catch (sycl::exception const &exc) {
@@ -16000,52 +12005,10 @@ catch (sycl::exception const &exc) {
   std::exit(1);
 }
 
-void ggml_sycl_set_scratch_size(const size_t scratch_size) {
-    // this is a hack to not completely break llama.cpp when using multiple models or contexts simultaneously
-    // it still won't always work as expected, but it's better than nothing
-    if (scratch_size > g_scratch_size) {
-        ggml_sycl_free_scratch();
-    }
-    g_scratch_size = std::max(g_scratch_size, scratch_size);
-}
-
-void ggml_sycl_free_scratch() try {
-    if (g_scratch_buffer == nullptr) {
-        return;
-    }
-    ggml_sycl_set_device(g_main_device);
-    const dpct::queue_ptr stream = g_syclStreams[g_main_device][0];
-
-    SYCL_CHECK(CHECK_TRY_ERROR(
-        sycl::free(g_scratch_buffer, *stream)));
-    g_scratch_buffer = nullptr;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) {
+bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct ggml_tensor * tensor) {
     if (!g_sycl_loaded) return false;
 
     ggml_sycl_func_t func;
-    const bool any_on_device = tensor->backend == GGML_BACKEND_TYPE_GPU
-        || (tensor->src[0] != nullptr && (tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU || tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT))
-        || (tensor->src[1] != nullptr && tensor->src[1]->backend == GGML_BACKEND_TYPE_GPU);
-
-    if (!any_on_device && tensor->op != GGML_OP_MUL_MAT && tensor->op != GGML_OP_MUL_MAT_ID) {
-        return false;
-    }
-
-    if (tensor->op == GGML_OP_MUL_MAT) {
-        if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) {
-#ifndef NDEBUG
-            fprintf(stderr, "%s: cannot compute %s: src0->ne[3] = %" PRId64 ", src1->ne[3] = %" PRId64 " - fallback to CPU\n", __func__, tensor->name, tensor->src[0]->ne[3], tensor->src[1]->ne[3]);
-#endif
-            return false;
-        }
-    }
 
     switch (tensor->op) {
         case GGML_OP_REPEAT:
@@ -16118,13 +12081,13 @@ bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_
             func = ggml_sycl_rms_norm;
             break;
         case GGML_OP_MUL_MAT:
-            if (!any_on_device && !ggml_sycl_can_mul_mat(tensor->src[0], tensor->src[1], tensor)) {
+            if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) {
                 return false;
             }
             func = ggml_sycl_mul_mat;
             break;
         case GGML_OP_MUL_MAT_ID:
-            if (!any_on_device && !ggml_sycl_can_mul_mat(tensor->src[2], tensor->src[1], tensor)) {
+            if (tensor->src[0]->ne[3] != tensor->src[1]->ne[3]) {
                 return false;
             }
             func = ggml_sycl_mul_mat_id;
@@ -16176,17 +12139,11 @@ bool ggml_sycl_compute_forward(struct ggml_compute_params * params, struct ggml_
             return false;
     }
 
-    if (tensor->src[0] != nullptr && tensor->src[0]->backend == GGML_BACKEND_TYPE_GPU_SPLIT) {
-        ggml_sycl_set_peer_access(tensor->src[1]->ne[1]);
+    if (tensor->src[0] != nullptr && ggml_backend_buffer_is_sycl_split(tensor->src[0]->buffer)) {
+        ggml_sycl_set_peer_access(tensor->src[1]->ne[1], ctx.device);
     }
 
-    if (params->ith != 0) {
-        return true;
-    }
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return true;
-    }
-    func(tensor->src[0], tensor->src[1], tensor);
+    func(ctx, tensor->src[0], tensor->src[1], tensor);
     return true;
 }
 
@@ -16194,13 +12151,9 @@ GGML_API GGML_CALL void   ggml_sycl_get_gpu_list(int *id_list, int max_len) try
     GGML_SYCL_DEBUG("[SYCL] call ggml_sycl_get_gpu_list\n");
     for(int i=0;i<max_len;i++) id_list[i] = -1;
 
-    if (!g_sycl_gpu_mgr) {
-        g_sycl_gpu_mgr = new sycl_gpu_mgr();
-    }
-
-    for (int i=0;i< g_sycl_gpu_mgr->gpus.size();i++){
+    for (int i=0;i< ggml_sycl_info().device_count;i++){
         if (i>=max_len) break;
-        id_list[i] = g_sycl_gpu_mgr->gpus[i];
+        id_list[i] = i;
     }
     return;
 }
@@ -16228,9 +12181,8 @@ GGML_API GGML_CALL void ggml_sycl_get_device_description(int device, char *descr
                                       size_t description_size) try {
     GGML_SYCL_DEBUG("[SYCL] call ggml_sycl_get_device_description\n");
     dpct::device_info prop;
-    int device_id = g_sycl_gpu_mgr->gpus[device];
     SYCL_CHECK(CHECK_TRY_ERROR(dpct::get_device_info(
-        prop, dpct::dev_mgr::instance().get_device(device_id))));
+        prop, dpct::dev_mgr::instance().get_device(device))));
     snprintf(description, description_size, "%s", prop.get_name());
 }
 catch (sycl::exception const &exc) {
@@ -16254,9 +12206,8 @@ GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free,
     device information which may not be supported by all compilers or runtimes.
     You may need to adjust the code.
     */
-   int device_id = g_sycl_gpu_mgr->gpus[device];
     SYCL_CHECK(CHECK_TRY_ERROR(
-        dpct::dev_mgr::instance().get_device(device_id).get_memory_info(*free, *total)));
+        dpct::dev_mgr::instance().get_device(device).get_memory_info(*free, *total)));
 }
 catch (sycl::exception const &exc) {
   std::cerr << exc.what() << "Exception caught at file:" << __FILE__
@@ -16275,32 +12226,21 @@ catch (sycl::exception const &exc) {
 struct ggml_backend_sycl_buffer_context {
     int device;
     void * dev_ptr = nullptr;
-    ggml_tensor_extra_gpu * temp_tensor_extras = nullptr;
-    size_t temp_tensor_extra_index = 0;
+    queue_ptr stream;
     std::string name;
 
-     ggml_backend_sycl_buffer_context(int device, void * dev_ptr) :
-        device(device), dev_ptr(dev_ptr) {
+     ggml_backend_sycl_buffer_context(int device, void * dev_ptr, queue_ptr stream) :
+        device(device), dev_ptr(dev_ptr), stream(stream) {
             check_allow_gpu_index(device);
-            int id = g_sycl_gpu_mgr->gpus[device];
-            name = (GGML_SYCL_NAME + std::to_string(id));
+            name = (GGML_SYCL_NAME + std::to_string(device));
         }
 
-    ~ ggml_backend_sycl_buffer_context() {
-        delete[] temp_tensor_extras;
-    }
 
-    ggml_tensor_extra_gpu * ggml_sycl_alloc_temp_tensor_extra() {
-        if (temp_tensor_extras == nullptr) {
-            temp_tensor_extras = new ggml_tensor_extra_gpu[GGML_SYCL_MAX_NODES];
+    ~ggml_backend_sycl_buffer_context() {
+        if (dev_ptr != nullptr) {
+            ggml_sycl_set_device(device);
+            SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(dev_ptr, *stream)));
         }
-
-        size_t alloc_index = temp_tensor_extra_index;
-        temp_tensor_extra_index = (temp_tensor_extra_index + 1) % GGML_SYCL_MAX_NODES;
-        ggml_tensor_extra_gpu * extra = &temp_tensor_extras[alloc_index];
-        memset(extra, 0, sizeof(*extra));
-
-        return extra;
     }
 };
 
@@ -16317,10 +12257,7 @@ static void
 ggml_backend_sycl_buffer_free_buffer(ggml_backend_buffer_t buffer) try {
     ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context;
     ggml_sycl_set_device(ctx->device);
-    const dpct::queue_ptr stream = g_syclStreams[ctx->device][0];
 
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(sycl::free(ctx->dev_ptr, *stream)));
     delete ctx;
 }
 catch (sycl::exception const &exc) {
@@ -16346,11 +12283,6 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer,
         return;
     }
 
-    ggml_tensor_extra_gpu * extra = ctx->ggml_sycl_alloc_temp_tensor_extra();
-
-    extra->data_device[ctx->device] = tensor->data;
-    tensor->backend = GGML_BACKEND_TYPE_GPU;
-    tensor->extra = extra;
 
     if (ggml_is_quantized(tensor->type)) {
         // initialize padding to 0 to avoid possible NaN values
@@ -16358,7 +12290,7 @@ ggml_backend_sycl_buffer_init_tensor(ggml_backend_buffer_t buffer,
         size_t padded_size = ggml_backend_buft_get_alloc_size(buffer->buft, tensor);
 
         if (padded_size > original_size && tensor->view_src == nullptr) {
-            SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[ctx->device][0]->memset(
+            SYCL_CHECK(CHECK_TRY_ERROR(ctx->stream->memset(
                 (char *)tensor->data + original_size, 0,
                 padded_size - original_size).wait()));
         }
@@ -16374,19 +12306,17 @@ static void ggml_backend_sycl_buffer_set_tensor(ggml_backend_buffer_t buffer,
                                                 ggml_tensor *tensor,
                                                 const void *data, size_t offset,
                                                 size_t size) try {
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
 
     ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context;
 
     ggml_sycl_set_device(ctx->device);
-    const dpct::queue_ptr stream = g_syclStreams[ctx->device][0];
+    auto stream = &(dpct::dev_mgr::instance().get_device(ctx->device).default_queue());
     SYCL_CHECK(
         CHECK_TRY_ERROR(dpct::dev_mgr::instance().get_device(ctx->device).queues_wait_and_throw()));
     char* host_buf = (char*)malloc(size);
     memcpy(host_buf, data, size);
     SYCL_CHECK(
-        CHECK_TRY_ERROR((*stream)
-                             .memcpy((char *)tensor->data + offset, host_buf, size)
+        CHECK_TRY_ERROR((*stream).memcpy((char *)tensor->data + offset, host_buf, size)
                              .wait()));
     free(host_buf);
 }
@@ -16400,19 +12330,14 @@ static void ggml_backend_sycl_buffer_get_tensor(ggml_backend_buffer_t buffer,
                                                 const ggml_tensor *tensor,
                                                 void *data, size_t offset,
                                                 size_t size) try {
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
 
     ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context;
 
     ggml_sycl_set_device(ctx->device);
-    const dpct::queue_ptr stream = g_syclStreams[ctx->device][0];
-
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(dpct::dev_mgr::instance().get_device(ctx->device).queues_wait_and_throw()));
+    auto stream = dpct::dev_mgr::instance().get_device(ctx->device).default_queue();
 
     SYCL_CHECK(CHECK_TRY_ERROR(
-        (*stream)
-            .memcpy(data, (const char *)tensor->data + offset, size)
+        stream.memcpy(data, (const char *)tensor->data + offset, size)
             .wait()));
 }
 catch (sycl::exception const &exc) {
@@ -16427,7 +12352,7 @@ ggml_backend_sycl_buffer_cpy_tensor(ggml_backend_buffer_t buffer,
                                     ggml_tensor *dst) try {
     if (ggml_backend_buffer_is_sycl(src->buffer)) {
         ggml_backend_sycl_buffer_context * src_ctx = (ggml_backend_sycl_buffer_context *)src->buffer->context;
-        ggml_backend_sycl_buffer_context * dst_ctx = (ggml_backend_sycl_buffer_context *)buffer->context;
+        ggml_backend_sycl_buffer_context * dst_ctx = (ggml_backend_sycl_buffer_context *)dst->buffer->context;
 
         ggml_sycl_set_device(src_ctx->device);
         /*
@@ -16451,8 +12376,8 @@ ggml_backend_sycl_buffer_cpy_tensor(ggml_backend_buffer_t buffer,
         was inserted. You need to rewrite this code.
         */
 
-        dpct::queue_ptr stream_dst = g_syclStreams[dst_ctx->device][0];
-        dpct::queue_ptr stream_src = g_syclStreams[src_ctx->device][0];
+        queue_ptr stream_dst = dst_ctx->stream;
+        queue_ptr stream_src = src_ctx->stream;
         size_t size = ggml_nbytes(src);
 
         //todo. it's dirty solutino to walkaroud known issue:device2device cross GPUs.
@@ -16487,7 +12412,7 @@ static void ggml_backend_sycl_buffer_clear(ggml_backend_buffer_t buffer,
      ggml_backend_sycl_buffer_context * ctx = ( ggml_backend_sycl_buffer_context *)buffer->context;
 
     ggml_sycl_set_device(ctx->device);
-    const dpct::queue_ptr stream = g_syclStreams[ctx->device][0];
+    queue_ptr stream = ctx->stream;
     SYCL_CHECK(
         CHECK_TRY_ERROR(dpct::get_current_device().queues_wait_and_throw()));
 
@@ -16517,11 +12442,9 @@ static struct ggml_backend_buffer_i ggml_backend_sycl_buffer_interface = {
 struct ggml_backend_sycl_buffer_type_context {
     int device;
     std::string name;
-};
 
-struct ggml_backend_sycl_context {
-    int device;
-    std::string name;
+    // each buffer type has its own stream
+    queue_ptr stream = nullptr;
 };
 
 GGML_CALL static const char * ggml_backend_sycl_buffer_type_name(ggml_backend_buffer_type_t buft) {
@@ -16534,13 +12457,13 @@ ggml_backend_sycl_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft,
                                            size_t size) try {
     ggml_backend_sycl_buffer_type_context * buft_ctx = (ggml_backend_sycl_buffer_type_context *)buft->context;
     ggml_sycl_set_device(buft_ctx->device);
-    const dpct::queue_ptr stream = g_syclStreams[buft_ctx->device][0];
+    const queue_ptr stream = buft_ctx->stream;
     size = std::max(size, (size_t)1); // syclMalloc returns null for size 0
 
     void * dev_ptr;
     SYCL_CHECK(CHECK_TRY_ERROR(dev_ptr = (void *)sycl::malloc_device(
                                     size, *stream)));
-    ggml_backend_sycl_buffer_context * ctx = new  ggml_backend_sycl_buffer_context(buft_ctx->device, dev_ptr);
+    ggml_backend_sycl_buffer_context * ctx = new  ggml_backend_sycl_buffer_context(buft_ctx->device, dev_ptr, buft_ctx->stream);
     return ggml_backend_buffer_init(buft, ggml_backend_sycl_buffer_interface, ctx, size);
 }
 catch (sycl::exception const &exc) {
@@ -16584,26 +12507,58 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_buffer_type_interface = {
     /* .is_host          = */ nullptr,
 };
 
-ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device_index) {
+ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(int device) {
+    static std::mutex mutex;
+    std::lock_guard<std::mutex> lock(mutex);
+
     GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_buffer_type\n");
 
-    if (device_index>=g_device_count or device_index<0) {
+    if (device>=ggml_sycl_info().device_count or device<0) {
         printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
-            device_index, g_device_count-1);
-        GGML_ASSERT(device_index<g_device_count);
+            device, ggml_sycl_info().device_count-1);
+        GGML_ASSERT(device<ggml_sycl_info().device_count);
     }
     static struct ggml_backend_buffer_type ggml_backend_sycl_buffer_types[GGML_SYCL_MAX_DEVICES];
 
-    if (!g_ggml_backend_sycl_buffer_type_initialized) {
-        for (int i = 0; i < g_device_count; i++) {
+    static bool ggml_backend_sycl_buffer_type_initialized = false;
+
+    if (!ggml_backend_sycl_buffer_type_initialized) {
+        for (int i = 0; i < ggml_sycl_info().device_count; i++) {
+            auto & device_i = dpct::dev_mgr::instance().get_device(i);
+            queue_ptr stream = &(device_i.default_queue());
             ggml_backend_sycl_buffer_types[i] = {
                 /* .iface    = */ ggml_backend_sycl_buffer_type_interface,
-                /* .context  = */ new ggml_backend_sycl_buffer_type_context{i, GGML_SYCL_NAME + std::to_string(g_sycl_gpu_mgr->gpus[i])},
+                /* .context  = */ new ggml_backend_sycl_buffer_type_context{i, GGML_SYCL_NAME + std::to_string(i), stream},
             };
         }
-        g_ggml_backend_sycl_buffer_type_initialized = true;
+        ggml_backend_sycl_buffer_type_initialized = true;
     }
-    return &ggml_backend_sycl_buffer_types[device_index];
+    return &ggml_backend_sycl_buffer_types[device];
+}
+
+ggml_backend_buffer_type_t ggml_backend_sycl_buffer_type(ggml_backend_sycl_context * ctx) {
+    GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_buffer_type\n");
+
+    int device = ctx->device;
+    if (device>=ggml_sycl_info().device_count or device<0) {
+        printf("ggml_backend_sycl_buffer_type error: device_index:%d is out of range [0, %d], miss to call ggml_backend_sycl_set_single_device()\n",
+            device, ggml_sycl_info().device_count-1);
+        GGML_ASSERT(device<ggml_sycl_info().device_count);
+    }
+    static struct ggml_backend_buffer_type ggml_backend_sycl_buffer_types[GGML_SYCL_MAX_DEVICES];
+
+    static bool ggml_backend_sycl_buffer_type_initialized = false;
+
+    if (!ggml_backend_sycl_buffer_type_initialized) {
+        for (int i = 0; i < ggml_sycl_info().device_count; i++) {
+            ggml_backend_sycl_buffer_types[i] = {
+                /* .iface    = */ ggml_backend_sycl_buffer_type_interface,
+                /* .context  = */ new ggml_backend_sycl_buffer_type_context{i, GGML_SYCL_NAME + std::to_string(i), ctx->stream(i, 0)},
+            };
+        }
+        ggml_backend_sycl_buffer_type_initialized = true;
+    }
+    return &ggml_backend_sycl_buffer_types[device];
 }
 
 // sycl split buffer type
@@ -16613,7 +12568,7 @@ static void get_row_split(int64_t * row_low, int64_t * row_high, const ggml_tens
 
     *row_low = id == 0 ? 0 : nrows*tensor_split[id];
     *row_low -= *row_low % rounding;
-    if (id == g_device_count - 1) {
+    if (id == ggml_sycl_info().device_count - 1) {
         *row_high = nrows;
     } else {
         *row_high = nrows*tensor_split[id + 1];
@@ -16624,9 +12579,8 @@ static void get_row_split(int64_t * row_low, int64_t * row_high, const ggml_tens
 struct ggml_backend_sycl_split_buffer_context {
     ~ggml_backend_sycl_split_buffer_context() try {
         for (ggml_tensor_extra_gpu * extra : tensor_extras) {
-            for (int i = 0; i < g_device_count; ++i) {
-                // int id = g_sycl_gpu_mgr->gpus[i];
-                for (int64_t is = 0; is < MAX_STREAMS; ++is) {
+            for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
+                for (int64_t is = 0; is < GGML_SYCL_MAX_STREAMS; ++is) {
                     if (extra->events[i][is] != nullptr) {
                         /*
                         DPCT1009:206: SYCL uses exceptions to report errors and
@@ -16647,7 +12601,7 @@ struct ggml_backend_sycl_split_buffer_context {
                     */
                     ggml_sycl_set_device(i);
                     SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(
-                        extra->data_device[i], *g_syclStreams[i][0])));
+                        extra->data_device[i], *(streams[i]))));
                 }
             }
             delete extra;
@@ -16660,6 +12614,7 @@ struct ggml_backend_sycl_split_buffer_context {
     }
 
     std::vector<ggml_tensor_extra_gpu *> tensor_extras;
+    std::vector<queue_ptr> streams;
 };
 
 GGML_CALL static const char * ggml_backend_sycl_split_buffer_get_name(ggml_backend_buffer_t buffer) {
@@ -16697,9 +12652,9 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
     ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu{};
 
     ctx->tensor_extras.push_back(extra);
+        ctx->streams.push_back(&(dpct::get_current_device().default_queue()));
 
-    for (int i = 0; i < g_device_count; ++i) {
-        // int id = g_sycl_gpu_mgr->gpus[i];
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         int64_t row_low, row_high;
         get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i);
 
@@ -16719,6 +12674,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
         // FIXME: do not crash if cudaMalloc fails
         // currently, init_tensor cannot fail, it needs to be fixed in ggml-backend first
         ggml_sycl_set_device(i);
+        const queue_ptr stream = ctx->streams[i];
         char * buf;
         /*
         DPCT1009:208: SYCL uses exceptions to report errors and does not use the
@@ -16726,7 +12682,7 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
         was inserted. You need to rewrite this code.
         */
         SYCL_CHECK(CHECK_TRY_ERROR(buf = (char *)sycl::malloc_device(
-                                        size, *g_syclStreams[i][0])));
+                                        size, *stream)));
 
         // set padding to 0 to avoid possible NaN values
         if (size > original_size) {
@@ -16736,14 +12692,14 @@ ggml_backend_sycl_split_buffer_init_tensor(ggml_backend_buffer_t buffer,
             string was inserted. You need to rewrite this code.
             */
             SYCL_CHECK(CHECK_TRY_ERROR(
-                (*g_syclStreams[i][0])
+                (*stream)
                     .memset(buf + original_size, 0, size - original_size)
                     .wait()));
         }
 
         extra->data_device[i] = buf;
 
-        for (int64_t is = 0; is < MAX_STREAMS; ++is) {
+        for (int64_t is = 0; is < GGML_SYCL_MAX_STREAMS; ++is) {
             /*
             DPCT1009:210: SYCL uses exceptions to report errors and does not use
             the error codes. The original code was commented out and a warning
@@ -16770,14 +12726,14 @@ ggml_backend_sycl_split_buffer_set_tensor(ggml_backend_buffer_t buffer,
     GGML_ASSERT(offset == 0);
     GGML_ASSERT(size == ggml_nbytes(tensor));
 
+    ggml_backend_sycl_split_buffer_context * ctx = (ggml_backend_sycl_split_buffer_context *)buffer->context;
     ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *)buffer->buft->context;
 
     const int64_t ne0 = tensor->ne[0];
     const size_t nb1 = tensor->nb[1];
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *)tensor->extra;
 
-    for (int i = 0; i < g_device_count; ++i) {
-        // int id = g_sycl_gpu_mgr->gpus[i];
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         int64_t row_low, row_high;
         get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i);
 
@@ -16802,8 +12758,9 @@ ggml_backend_sycl_split_buffer_set_tensor(ggml_backend_buffer_t buffer,
         was inserted. You need to rewrite this code.
         */
         ggml_sycl_set_device(i);
+        const queue_ptr stream = ctx->streams[i];
         SYCL_CHECK(CHECK_TRY_ERROR(
-            (*g_syclStreams[i][0])
+            (*stream)
                 .memcpy(extra->data_device[i], buf_host, original_size)
                 .wait()));
     }
@@ -16822,14 +12779,14 @@ ggml_backend_sycl_split_buffer_get_tensor(ggml_backend_buffer_t buffer,
     GGML_ASSERT(offset == 0);
     GGML_ASSERT(size == ggml_nbytes(tensor));
 
+    ggml_backend_sycl_split_buffer_context * ctx = (ggml_backend_sycl_split_buffer_context *)buffer->context;
     ggml_backend_sycl_split_buffer_type_context * buft_ctx = (ggml_backend_sycl_split_buffer_type_context *)buffer->buft->context;
 
     const int64_t ne0 = tensor->ne[0];
     const size_t nb1 = tensor->nb[1];
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *)tensor->extra;
 
-    for (int i = 0; i < g_device_count; ++i) {
-        // int id = g_sycl_gpu_mgr->gpus[i];
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         int64_t row_low, row_high;
         get_row_split(&row_low, &row_high, tensor, buft_ctx->tensor_split, i);
 
@@ -16854,8 +12811,9 @@ ggml_backend_sycl_split_buffer_get_tensor(ggml_backend_buffer_t buffer,
         was inserted. You need to rewrite this code.
         */
         ggml_sycl_set_device(i);
+        const queue_ptr stream = ctx->streams[i];
         SYCL_CHECK(CHECK_TRY_ERROR(
-            (*g_syclStreams[i][0])
+            (*stream)
                 .memcpy(buf_host, extra->data_device[i], original_size)
                 .wait()));
     }
@@ -16911,8 +12869,7 @@ GGML_CALL static size_t ggml_backend_sycl_split_buffer_type_get_alloc_size(ggml_
 
     const int64_t ne0 = tensor->ne[0];
 
-    for (int i = 0; i < g_device_count; ++i) {
-        // int id = g_sycl_gpu_mgr->gpus[i];
+    for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
         int64_t row_low, row_high;
         get_row_split(&row_low, &row_high, tensor, ctx->tensor_split, i);
 
@@ -16948,8 +12905,11 @@ static ggml_backend_buffer_type_i ggml_backend_sycl_split_buffer_type_interface
 };
 
 GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const float * tensor_split) {
+    static std::mutex mutex;
+    std::lock_guard<std::mutex> lock(mutex);
+
     GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_split_buffer_type\n");
-    ggml_init_sycl();
+    ggml_check_sycl();
     // FIXME: this is not thread safe
     static std::map<std::array<float, GGML_SYCL_MAX_DEVICES>, struct ggml_backend_buffer_type> buft_map;
 
@@ -16957,16 +12917,14 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_sycl_split_buffer_type(const f
 
     bool all_zero = tensor_split == nullptr || std::all_of(tensor_split, tensor_split + GGML_SYCL_MAX_DEVICES, [](float x) { return x == 0.0f; });
     if (all_zero) {
-        tensor_split_arr = g_default_tensor_split;
+        tensor_split_arr = ggml_sycl_info().default_tensor_split;
     } else {
         float split_sum = 0.0f;
-        for (int i = 0; i < g_device_count; ++i) {
-            // int id = g_sycl_gpu_mgr->gpus[i];
+        for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
             tensor_split_arr[i] = split_sum;
             split_sum += tensor_split[i];
         }
-        for (int i = 0; i < g_device_count; ++i) {
-            // int id = g_sycl_gpu_mgr->gpus[i];
+        for (int i = 0; i < ggml_sycl_info().device_count; ++i) {
             tensor_split_arr[i] /= split_sum;
         }
     }
@@ -17064,9 +13022,11 @@ GGML_CALL static void ggml_backend_sycl_set_tensor_async(ggml_backend_t backend,
                                                const void *data, size_t offset,
                                                size_t size) try {
     ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
-    GGML_ASSERT(tensor->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type");
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-    SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy(
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type");
+    const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0);
+    SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy(
         (char *)tensor->data + offset, data, size).wait()));
 }
 catch (sycl::exception const &exc) {
@@ -17080,9 +13040,11 @@ GGML_CALL static void ggml_backend_sycl_get_tensor_async(ggml_backend_t backend,
                                                void *data, size_t offset,
                                                size_t size) try {
     ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
-    GGML_ASSERT(tensor->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type");
-    GGML_ASSERT(tensor->backend == GGML_BACKEND_TYPE_GPU);
-    SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy(
+    ggml_backend_buffer_t buf = tensor->view_src ? tensor->view_src->buffer : tensor->buffer;
+
+    GGML_ASSERT(buf->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device) && "unsupported buffer type");
+    const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0);
+    SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy(
         data, (const char *)tensor->data + offset, size).wait()));
 }
 catch (sycl::exception const &exc) {
@@ -17101,7 +13063,8 @@ GGML_CALL static bool ggml_backend_sycl_cpy_tensor_async(ggml_backend_t backend,
         error codes. The original code was commented out and a warning string
         was inserted. You need to rewrite this code.
         */
-        SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->memcpy(
+        const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0);
+        SYCL_CHECK(CHECK_TRY_ERROR((stream)->memcpy(
             dst->data, src->data, ggml_nbytes(dst)).wait()));
         return true;
     }
@@ -17116,7 +13079,8 @@ catch (sycl::exception const &exc) {
 
 static void ggml_backend_sycl_synchronize(ggml_backend_t backend) try {
     ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
-    SYCL_CHECK(CHECK_TRY_ERROR(g_syclStreams[sycl_ctx->device][0]->wait()));
+    const queue_ptr stream = sycl_ctx->stream(sycl_ctx->device, 0);
+    SYCL_CHECK(CHECK_TRY_ERROR((stream)->wait()));
 
     UNUSED(backend);
 }
@@ -17130,28 +13094,21 @@ GGML_CALL static ggml_status ggml_backend_sycl_graph_compute(ggml_backend_t back
     ggml_backend_sycl_context * sycl_ctx = (ggml_backend_sycl_context *)backend->context;
     ggml_sycl_set_main_device(sycl_ctx->device);
 
-    ggml_compute_params params = {};
-    params.type = GGML_TASK_TYPE_COMPUTE;
-    params.ith = 0;
+
     for (int i = 0; i < cgraph->n_nodes; i++) {
         ggml_tensor * node = cgraph->nodes[i];
         if (ggml_is_empty(node) || node->op == GGML_OP_RESHAPE || node->op == GGML_OP_TRANSPOSE || node->op == GGML_OP_VIEW || node->op == GGML_OP_PERMUTE || node->op == GGML_OP_NONE) {
             continue;
         }
 #ifndef NDEBUG
-        assert(node->backend == GGML_BACKEND_TYPE_GPU || node->backend == GGML_BACKEND_TYPE_GPU_SPLIT);
         assert(node->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device));
-        assert(node->extra != nullptr);
-
         for (int j = 0; j < GGML_MAX_SRC; j++) {
             if (node->src[j] != nullptr) {
-                assert(node->src[j]->backend == GGML_BACKEND_TYPE_GPU || node->src[j]->backend == GGML_BACKEND_TYPE_GPU_SPLIT);
                 assert(node->src[j]->buffer->buft == ggml_backend_sycl_buffer_type(sycl_ctx->device));
-                assert(node->src[j]->extra != nullptr);
             }
         }
 #endif
-        bool ok = ggml_sycl_compute_forward(&params, node);
+        bool ok = ggml_sycl_compute_forward(*sycl_ctx, node);
         if (!ok) {
             fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
         }
@@ -17332,16 +13289,14 @@ static ggml_guid_t ggml_backend_sycl_guid() {
 
 GGML_CALL ggml_backend_t ggml_backend_sycl_init(int device) {
     GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_init\n");
-    ggml_init_sycl();
+    ggml_check_sycl();
 
     check_allow_gpu_index(device);
 
-    // not strictly necessary, but it may reduce the overhead of the first graph_compute
-    ggml_sycl_set_main_device(device);
-    int id = g_sycl_gpu_mgr->gpus[device];
-    ggml_backend_sycl_context * ctx = new ggml_backend_sycl_context {
-        /* .device = */ device,
-        /* .name   = */ GGML_SYCL_NAME + std::to_string(id),
+    ggml_backend_sycl_context * ctx = new ggml_backend_sycl_context(device);
+    if (ctx == nullptr) {
+        fprintf(stderr, "%s: error: failed to allocate context\n", __func__);
+        return nullptr;
     };
 
     ggml_backend_t sycl_backend = new ggml_backend {
@@ -17359,8 +13314,7 @@ bool ggml_backend_is_sycl(ggml_backend_t backend) {
 
 GGML_CALL int ggml_backend_sycl_get_device_count() {
     GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_count\n");
-    if (!g_sycl_gpu_mgr) g_sycl_gpu_mgr = new sycl_gpu_mgr();
-    return g_sycl_gpu_mgr->get_gpu_count();
+    return ggml_sycl_info().device_count;
 }
 
 GGML_CALL static ggml_backend_t ggml_backend_reg_sycl_init(const char * params, void * user_data) {
@@ -17370,60 +13324,14 @@ GGML_CALL static ggml_backend_t ggml_backend_reg_sycl_init(const char * params,
     UNUSED(params);
 }
 
-GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id) {
-    GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_index\n");
-    return g_sycl_gpu_mgr->get_index(device_id);
-}
-
-GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index) {
-    GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_get_device_id\n");
-    return g_sycl_gpu_mgr->gpus[device_index];
-}
-
-GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id) {
-    ggml_init_sycl();
-    GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_set_single_device_mode\n");
-    fprintf(stderr, "ggml_backend_sycl_set_single_device: use single device: [%d]\n", main_gpu_id);
-    GGML_ASSERT(main_gpu_id<g_all_sycl_device_count);
-
-    if (g_sycl_gpu_mgr) {
-        delete g_sycl_gpu_mgr;
-    }
-    g_sycl_gpu_mgr = new sycl_gpu_mgr(main_gpu_id);
-    g_ggml_sycl_backend_gpu_mode = SYCL_SINGLE_GPU_MODE;
-    ggml_init_by_gpus(g_sycl_gpu_mgr->get_gpu_count());
-    g_ggml_backend_sycl_buffer_type_initialized = false;
-}
-
-GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode() {
-    ggml_init_sycl();
-    GGML_SYCL_DEBUG("[SYCL] call ggml_backend_sycl_set_mul_device_mode\n");
-
-    if (g_ggml_sycl_backend_gpu_mode == SYCL_MUL_GPU_MODE) {
-        return;
-    }
-
-    fprintf(stderr, "ggml_backend_sycl_set_mul_device_mode: true\n");
-
-    if (g_sycl_gpu_mgr) {
-        delete g_sycl_gpu_mgr;
-    }
-    g_sycl_gpu_mgr = new sycl_gpu_mgr();
-    g_ggml_sycl_backend_gpu_mode = SYCL_MUL_GPU_MODE;
-    ggml_init_by_gpus(g_sycl_gpu_mgr->get_gpu_count());
-    g_ggml_backend_sycl_buffer_type_initialized = false;
-}
-
 extern "C" int ggml_backend_sycl_reg_devices();
 
 int ggml_backend_sycl_reg_devices() {
-    ggml_backend_sycl_set_mul_device_mode();
-    assert(g_device_count>0);
-    for (int i = 0; i < g_device_count; i++) {
-        int id = g_sycl_gpu_mgr->gpus[i];
+    assert(ggml_sycl_info().device_count>0);
+    for (int i = 0; i < ggml_sycl_info().device_count; i++) {
         char name[128];
-        snprintf(name, sizeof(name), "%s%d", GGML_SYCL_NAME, id);
+        snprintf(name, sizeof(name), "%s%d", GGML_SYCL_NAME, i);
         ggml_backend_register(name, ggml_backend_reg_sycl_init, ggml_backend_sycl_buffer_type(i), (void *) (intptr_t) i);
     }
-    return g_device_count;
+    return ggml_sycl_info().device_count;
 }
diff --git a/ggml-sycl.h b/ggml-sycl.h
index a9f776fc1..451938fc4 100644
--- a/ggml-sycl.h
+++ b/ggml-sycl.h
@@ -8,14 +8,12 @@
 
 #include "ggml.h"
 #include "ggml-backend.h"
+#include "ggml-sycl/presets.hpp"
 
 #ifdef  __cplusplus
 extern "C" {
 #endif
 
-#define GGML_SYCL_MAX_DEVICES       48
-#define GGML_SYCL_NAME "SYCL"
-
 // backend API
 GGML_API ggml_backend_t ggml_backend_sycl_init(int device);
 
@@ -33,13 +31,6 @@ GGML_API GGML_CALL void   ggml_sycl_get_gpu_list(int *id_list, int max_len);
 GGML_API GGML_CALL void   ggml_sycl_get_device_description(int device, char *description, size_t description_size);
 GGML_API GGML_CALL int   ggml_backend_sycl_get_device_count();
 GGML_API GGML_CALL void ggml_backend_sycl_get_device_memory(int device, size_t *free, size_t *total);
-GGML_API GGML_CALL int ggml_backend_sycl_get_device_index(int device_id);
-
-// TODO: these are temporary
-//       ref: https://github.com/ggerganov/llama.cpp/pull/6022#issuecomment-1992615670
-GGML_API GGML_CALL int ggml_backend_sycl_get_device_id(int device_index);
-GGML_API GGML_CALL void ggml_backend_sycl_set_single_device_mode(int main_gpu_id);
-GGML_API GGML_CALL void ggml_backend_sycl_set_mul_device_mode();
 
 // SYCL doesn't support registering host memory, keep here for reference
 // GGML_API GGML_CALL bool ggml_backend_sycl_register_host_buffer(void * buffer, size_t size);
diff --git a/ggml-sycl/backend.hpp b/ggml-sycl/backend.hpp
new file mode 100644
index 000000000..88bae5967
--- /dev/null
+++ b/ggml-sycl/backend.hpp
@@ -0,0 +1,18 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_BACKEND_HPP
+#define GGML_SYCL_BACKEND_HPP
+
+#include "common.hpp"
+
+#endif // GGML_SYCL_BACKEND_HPP
diff --git a/ggml-sycl/common.cpp b/ggml-sycl/common.cpp
new file mode 100644
index 000000000..e878f4f50
--- /dev/null
+++ b/ggml-sycl/common.cpp
@@ -0,0 +1,53 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#include "common.hpp"
+
+int get_current_device_id() {
+  return dpct::dev_mgr::instance().current_device_id();
+}
+
+void* ggml_sycl_host_malloc(size_t size) try {
+  if (getenv("GGML_SYCL_NO_PINNED") != nullptr) {
+    return nullptr;
+  }
+
+  void* ptr = nullptr;
+  // allow to use dpct::get_in_order_queue() for host malloc
+  dpct::err0 err = CHECK_TRY_ERROR(
+      ptr = (void*)sycl::malloc_host(size, dpct::get_in_order_queue()));
+
+  if (err != 0) {
+    // clear the error
+    fprintf(
+        stderr,
+        "WARNING: failed to allocate %.2f MB of pinned memory: %s\n",
+        size / 1024.0 / 1024.0,
+        "syclGetErrorString is not supported");
+    return nullptr;
+  }
+
+  return ptr;
+} catch (sycl::exception const& exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+void ggml_sycl_host_free(void* ptr) try {
+  // allow to use dpct::get_in_order_queue() for host malloc
+  SYCL_CHECK(CHECK_TRY_ERROR(sycl::free(ptr, dpct::get_in_order_queue())));
+} catch (sycl::exception const& exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
diff --git a/ggml-sycl/common.hpp b/ggml-sycl/common.hpp
new file mode 100644
index 000000000..414c37eed
--- /dev/null
+++ b/ggml-sycl/common.hpp
@@ -0,0 +1,298 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_COMMON_HPP
+#define GGML_SYCL_COMMON_HPP
+
+#include <fstream>
+#include <iostream>
+
+#include "dpct/helper.hpp"
+#include "presets.hpp"
+
+#define GGML_COMMON_DECL_SYCL
+#define GGML_COMMON_IMPL_SYCL
+#include "ggml-common.h"
+
+void* ggml_sycl_host_malloc(size_t size);
+void ggml_sycl_host_free(void* ptr);
+
+static int g_ggml_sycl_debug = 0;
+#define GGML_SYCL_DEBUG(...)        \
+  do {                              \
+    if (g_ggml_sycl_debug)          \
+      fprintf(stderr, __VA_ARGS__); \
+  } while (0)
+
+#define CHECK_TRY_ERROR(expr)                                            \
+  [&]() {                                                                \
+    try {                                                                \
+      expr;                                                              \
+      return dpct::success;                                              \
+    } catch (std::exception const& e) {                                  \
+      std::cerr << e.what() << "\nException caught at file:" << __FILE__ \
+                << ", line:" << __LINE__ << ", func:" << __func__        \
+                << std::endl;                                            \
+      return dpct::default_error;                                        \
+    }                                                                    \
+  }()
+
+// #define DEBUG_SYCL_MALLOC
+
+static int g_work_group_size = 0;
+// typedef sycl::half ggml_fp16_t;
+
+#define __SYCL_ARCH__ DPCT_COMPATIBILITY_TEMP
+#define VER_4VEC 610 // todo for hardward optimize.
+#define VER_GEN9 700 // todo for hardward optimize.
+#define VER_GEN12 1000000 // todo for hardward optimize.
+#define VER_GEN13 (VER_GEN12 + 1030) // todo for hardward optimize.
+
+#define GGML_SYCL_MAX_NODES 8192 // TODO: adapt to hardwares
+
+// define for XMX in Intel GPU
+// TODO: currently, it's not used for XMX really.
+#if !defined(GGML_SYCL_FORCE_MMQ)
+    #define SYCL_USE_XMX
+#endif
+
+// max batch size to use MMQ kernels when tensor cores are available
+#define MMQ_MAX_BATCH_SIZE 32
+
+#if defined(_MSC_VER)
+#pragma warning(disable : 4244 4267) // possible loss of data
+#endif
+
+// dmmv = dequantize_mul_mat_vec
+#ifndef GGML_SYCL_DMMV_X
+#define GGML_SYCL_DMMV_X 32
+#endif
+#ifndef GGML_SYCL_MMV_Y
+#define GGML_SYCL_MMV_Y 1
+#endif
+
+typedef sycl::queue *queue_ptr;
+
+enum ggml_sycl_backend_gpu_mode {
+  SYCL_UNSET_GPU_MODE = -1,
+  SYCL_SINGLE_GPU_MODE = 0,
+  SYCL_MUL_GPU_MODE
+};
+
+static_assert(sizeof(sycl::half) == sizeof(ggml_fp16_t), "wrong fp16 size");
+
+static void crash() {
+  int* ptr = NULL;
+  *ptr = 0;
+}
+
+[[noreturn]] static void ggml_sycl_error(
+    const char* stmt,
+    const char* func,
+    const char* file,
+    const int line,
+    const char* msg) {
+  fprintf(stderr, "SYCL error: %s: %s\n", stmt, msg);
+  fprintf(stderr, "  in function %s at %s:%d\n", func, file, line);
+  GGML_ASSERT(!"SYCL error");
+}
+
+#define SYCL_CHECK(err)                     \
+  do {                                      \
+    auto err_ = (err);                      \
+    if (err_ != 0)                          \
+      ggml_sycl_error(                      \
+          #err,                             \
+          __func__,                         \
+          __FILE__,                         \
+          __LINE__,                         \
+          "Meet error in this line code!"); \
+  } while (0)
+
+#if DPCT_COMPAT_RT_VERSION >= 11100
+#define GGML_SYCL_ASSUME(x) __builtin_assume(x)
+#else
+#define GGML_SYCL_ASSUME(x)
+#endif // DPCT_COMPAT_RT_VERSION >= 11100
+
+#ifdef GGML_SYCL_F16
+typedef sycl::half dfloat; // dequantize float
+typedef sycl::half2 dfloat2;
+#else
+typedef float dfloat; // dequantize float
+typedef sycl::float2 dfloat2;
+#endif // GGML_SYCL_F16
+
+#define MMVQ_MAX_BATCH_SIZE  8
+
+static const int8_t kvalues_iq4nl[16]={-127, -104, -83, -65, -49, -35, -22, -10, 1, 13, 25, 38, 53, 69, 89, 113};
+
+static int g_all_sycl_device_count = -1;
+static bool g_ggml_backend_sycl_buffer_type_initialized = false;
+
+static ggml_sycl_backend_gpu_mode g_ggml_sycl_backend_gpu_mode =
+    SYCL_UNSET_GPU_MODE;
+
+static void* g_scratch_buffer = nullptr;
+static size_t g_scratch_size = 0; // disabled by default
+static size_t g_scratch_offset = 0;
+
+[[noreturn]] static inline void bad_arch(const sycl::stream& stream_ct1) {
+  stream_ct1 << "ERROR: ggml-sycl was compiled without support for the "
+                "current GPU architecture.\n";
+  // __trap();
+  std::exit(1);
+
+  (void)bad_arch; // suppress unused function warning
+}
+
+int get_current_device_id();
+
+inline dpct::err0 ggml_sycl_set_device(const int device) try {
+
+  int current_device_id;
+  SYCL_CHECK(CHECK_TRY_ERROR(current_device_id = get_current_device_id()));
+
+  // GGML_SYCL_DEBUG("ggml_sycl_set_device device_id=%d,
+  // current_device_id=%d\n", device, current_device);
+  if (device == current_device_id) {
+    return 0;
+  }
+
+  return CHECK_TRY_ERROR(dpct::select_device(device));
+} catch (sycl::exception const& exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  crash();
+  std::exit(1);
+}
+
+//////////////////////
+
+struct ggml_sycl_device_info {
+    int device_count;
+
+    struct sycl_device_info {
+        int     cc;                 // compute capability
+        // int     nsm;                // number of streaming multiprocessors
+        // size_t  smpb;               // max. shared memory per block
+        bool    vmm;                // virtual memory support
+        size_t  total_vram;
+    };
+
+    sycl_device_info devices[GGML_SYCL_MAX_DEVICES] = {};
+
+    std::array<float, GGML_SYCL_MAX_DEVICES> default_tensor_split = {};
+};
+
+const ggml_sycl_device_info & ggml_sycl_info();
+
+struct ggml_sycl_pool {
+    virtual ~ggml_sycl_pool() = default;
+
+    virtual void * alloc(size_t size, size_t * actual_size) = 0;
+    virtual void free(void * ptr, size_t size) = 0;
+};
+
+template<typename T>
+struct ggml_sycl_pool_alloc {
+    ggml_sycl_pool * pool = nullptr;
+    T * ptr = nullptr;
+    size_t actual_size = 0;
+
+    explicit ggml_sycl_pool_alloc(ggml_sycl_pool & pool) : pool(&pool) {
+    }
+
+    ggml_sycl_pool_alloc(ggml_sycl_pool & pool, size_t size) : pool(&pool) {
+        alloc(size);
+    }
+
+    ~ggml_sycl_pool_alloc() {
+        if (ptr != nullptr) {
+            pool->free(ptr, actual_size);
+        }
+    }
+
+    // size is in number of elements
+    T * alloc(size_t size) {
+        GGML_ASSERT(pool != nullptr);
+        GGML_ASSERT(ptr == nullptr);
+        ptr = (T *) pool->alloc(size * sizeof(T), &this->actual_size);
+        return ptr;
+    }
+
+    T * alloc(ggml_sycl_pool & pool, size_t size) {
+        this->pool = &pool;
+        return alloc(size);
+    }
+
+    T * get() {
+        return ptr;
+    }
+
+    ggml_sycl_pool_alloc() = default;
+    ggml_sycl_pool_alloc(const ggml_sycl_pool_alloc &) = delete;
+    ggml_sycl_pool_alloc(ggml_sycl_pool_alloc &&) = delete;
+    ggml_sycl_pool_alloc& operator=(const ggml_sycl_pool_alloc &) = delete;
+    ggml_sycl_pool_alloc& operator=(ggml_sycl_pool_alloc &&) = delete;
+};
+
+// backend interface
+
+struct ggml_tensor_extra_gpu {
+  void* data_device[GGML_SYCL_MAX_DEVICES]; // 1 pointer for each device for split
+                                       // tensors
+  dpct::event_ptr events[GGML_SYCL_MAX_DEVICES]
+                        [GGML_SYCL_MAX_STREAMS]; // events for synchronizing multiple GPUs
+};
+
+struct ggml_backend_sycl_context {
+    int device;
+    std::string name;
+
+    queue_ptr qptrs[GGML_SYCL_MAX_DEVICES][GGML_SYCL_MAX_STREAMS] = { { nullptr } };
+
+    explicit ggml_backend_sycl_context(int device) :
+        device(device),
+        name(GGML_SYCL_NAME + std::to_string(device)) {
+    }
+
+    queue_ptr stream(int device, int stream) {
+        if (qptrs[device][stream] == nullptr) {
+            qptrs[device][stream] = &(dpct::get_current_device().default_queue());
+        }
+        return qptrs[device][stream];
+    }
+
+    queue_ptr stream() {
+        return stream(device, 0);
+    }
+
+    // pool
+    std::unique_ptr<ggml_sycl_pool> pools[GGML_SYCL_MAX_DEVICES];
+
+    static std::unique_ptr<ggml_sycl_pool> new_pool_for_device(queue_ptr qptr, int device);
+
+    ggml_sycl_pool & pool(int device) {
+        if (pools[device] == nullptr) {
+            pools[device] = new_pool_for_device(stream(device,0), device);
+        }
+        return *pools[device];
+    }
+
+    ggml_sycl_pool & pool() {
+        return pool(device);
+    }
+};
+
+
+#endif // GGML_SYCL_COMMON_HPP
diff --git a/ggml-sycl/dpct/helper.hpp b/ggml-sycl/dpct/helper.hpp
new file mode 100644
index 000000000..017fd6ee1
--- /dev/null
+++ b/ggml-sycl/dpct/helper.hpp
@@ -0,0 +1,2980 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_DPCT_HELPER_HPP
+#define GGML_SYCL_DPCT_HELPER_HPP
+
+#include <sycl/sycl.hpp>
+#include <sycl/half_type.hpp>
+#include <oneapi/mkl.hpp>
+#include <map>
+
+#include "ggml.h"
+
+#if defined(__linux__)
+#include <sys/mman.h>
+#elif defined(_WIN64)
+#ifndef NOMINMAX
+#define NOMINMAX
+#endif
+#include <windows.h>
+#else
+#error "Only support Windows and Linux."
+#endif
+
+#if defined(__linux__)
+#include <unistd.h>
+#include <sys/syscall.h>
+#endif
+#if defined(_WIN64)
+#ifndef NOMINMAX
+#define NOMINMAX
+#endif
+#include <windows.h>
+#endif
+
+#define DPCT_COMPATIBILITY_TEMP (900)
+
+#if defined(_MSC_VER)
+#define __dpct_align__(n) __declspec(align(n))
+#define __dpct_inline__ __forceinline
+#else
+#define __dpct_align__(n) __attribute__((aligned(n)))
+#define __dpct_inline__ __inline__ __attribute__((always_inline))
+#endif
+
+#if defined(_MSC_VER)
+#define __dpct_noinline__ __declspec(noinline)
+#else
+#define __dpct_noinline__ __attribute__((noinline))
+#endif
+
+inline std::string get_device_type_name(const sycl::device &Device) {
+    auto DeviceType = Device.get_info<sycl::info::device::device_type>();
+    switch (DeviceType) {
+    case sycl::info::device_type::cpu:
+        return "cpu";
+    case sycl::info::device_type::gpu:
+        return "gpu";
+    case sycl::info::device_type::host:
+        return "host";
+    case sycl::info::device_type::accelerator:
+        return "acc";
+    default:
+        return "unknown";
+    }
+}
+
+inline std::string get_device_backend_and_type(const sycl::device &device) {
+    std::stringstream device_type;
+    sycl::backend backend = device.get_backend();
+    device_type <<  backend << ":" << get_device_type_name(device);
+    return device_type.str();
+}
+
+namespace dpct
+{
+    typedef sycl::queue *queue_ptr;
+    typedef sycl::event *event_ptr;
+    typedef char *device_ptr;
+    typedef uint8_t byte_t;
+    typedef sycl::buffer<byte_t> buffer_t;
+
+    /// SYCL default exception handler
+    inline auto exception_handler = [](sycl::exception_list exceptions)
+    {
+        for (std::exception_ptr const &e : exceptions)
+        {
+            try
+            {
+                std::rethrow_exception(e);
+            }
+            catch (sycl::exception const &e)
+            {
+                std::cerr << "Caught asynchronous SYCL exception:" << std::endl
+                          << e.what() << std::endl
+                          << "Exception caught at file:" << __FILE__
+                          << ", line:" << __LINE__ << std::endl;
+            }
+        }
+    };
+
+    enum error_code
+    {
+        success = 0,
+        default_error = 999
+    };
+
+    enum memcpy_direction
+    {
+        host_to_host,
+        host_to_device,
+        device_to_host,
+        device_to_device,
+        automatic
+    };
+
+    enum memory_region
+    {
+        global = 0, // device global memory
+        constant,   // device constant memory
+        local,      // device local memory
+        shared,     // memory which can be accessed by host and device
+    };
+
+    enum class library_data_t : unsigned char
+    {
+        real_float = 0,
+        complex_float,
+        real_double,
+        complex_double,
+        real_half,
+        complex_half,
+        real_bfloat16,
+        complex_bfloat16,
+        real_int4,
+        complex_int4,
+        real_uint4,
+        complex_uint4,
+        real_int8,
+        complex_int8,
+        real_uint8,
+        complex_uint8,
+        real_int16,
+        complex_int16,
+        real_uint16,
+        complex_uint16,
+        real_int32,
+        complex_int32,
+        real_uint32,
+        complex_uint32,
+        real_int64,
+        complex_int64,
+        real_uint64,
+        complex_uint64,
+        real_int8_4,
+        real_int8_32,
+        real_uint8_4,
+        library_data_t_size
+    };
+
+    template <typename T>
+    struct DataType
+    {
+        using T2 = T;
+    };
+    template <typename T>
+    struct DataType<sycl::vec<T, 2>>
+    {
+        using T2 = std::complex<T>;
+    };
+
+    static void destroy_event(event_ptr event)
+    {
+        delete event;
+    }
+
+    static inline unsigned int get_tid()
+    {
+#if defined(__linux__)
+        return syscall(SYS_gettid);
+#elif defined(_WIN64)
+        return GetCurrentThreadId();
+#else
+#error "Only support Windows and Linux."
+#endif
+    }
+
+    namespace detail
+    {
+        static void get_version(const sycl::device &dev, int &major, int &minor)
+        {
+            // Version string has the following format:
+            // a. OpenCL<space><major.minor><space><vendor-specific-information>
+            // b. <major.minor>
+            // c. <AmdGcnArchName> e.g gfx1030
+            std::string ver;
+            ver = dev.get_info<sycl::info::device::version>();
+            std::string::size_type i = 0;
+            while (i < ver.size()) {
+              if (isdigit(ver[i]))
+                break;
+              i++;
+            }
+            major = std::stoi(&(ver[i]));
+            while (i < ver.size()) {
+              if (ver[i] == '.')
+                break;
+              i++;
+            }
+            if (i < ver.size()) {
+              // a. and b.
+              i++;
+              minor = std::stoi(&(ver[i]));
+            } else {
+              // c.
+              minor = 0;
+            }
+        }
+
+        template <typename tag, typename T>
+        class generic_error_type
+        {
+        public:
+            generic_error_type() = default;
+            generic_error_type(T value) : value{value} {}
+            operator T() const { return value; }
+
+        private:
+            T value;
+        };
+
+    } // namespace detail
+
+    /// Pitched 2D/3D memory data.
+    class pitched_data
+    {
+    public:
+        pitched_data() : pitched_data(nullptr, 0, 0, 0) {}
+        pitched_data(void *data, size_t pitch, size_t x, size_t y)
+            : _data(data), _pitch(pitch), _x(x), _y(y) {}
+
+        void *get_data_ptr() { return _data; }
+        void set_data_ptr(void *data) { _data = data; }
+
+        size_t get_pitch() { return _pitch; }
+        void set_pitch(size_t pitch) { _pitch = pitch; }
+
+        size_t get_x() { return _x; }
+        void set_x(size_t x) { _x = x; };
+
+        size_t get_y() { return _y; }
+        void set_y(size_t y) { _y = y; }
+
+    private:
+        void *_data;
+        size_t _pitch, _x, _y;
+    };
+
+    class device_info
+    {
+    public:
+        // get interface
+        const char *get_name() const { return _name; }
+        char *get_name() { return _name; }
+        template <typename WorkItemSizesTy = sycl::range<3>,
+                  std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> ||
+                                       std::is_same_v<WorkItemSizesTy, int *>,
+                                   int> = 0>
+        auto get_max_work_item_sizes() const
+        {
+            if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>)
+                return sycl::range<3>(_max_work_item_sizes_i[0],
+                                      _max_work_item_sizes_i[1],
+                                      _max_work_item_sizes_i[2]);
+            else
+            {
+                return _max_work_item_sizes_i;
+            }
+        }
+        template <typename WorkItemSizesTy = sycl::range<3>,
+                  std::enable_if_t<std::is_same_v<WorkItemSizesTy, sycl::range<3>> ||
+                                       std::is_same_v<WorkItemSizesTy, int *>,
+                                   int> = 0>
+        auto get_max_work_item_sizes()
+        {
+            if constexpr (std::is_same_v<WorkItemSizesTy, sycl::range<3>>)
+                return sycl::range<3>(_max_work_item_sizes_i[0],
+                                      _max_work_item_sizes_i[1],
+                                      _max_work_item_sizes_i[2]);
+            else
+            {
+                return _max_work_item_sizes_i;
+            }
+        }
+        bool get_host_unified_memory() const { return _host_unified_memory; }
+        int get_major_version() const { return _major; }
+        int get_minor_version() const { return _minor; }
+        int get_integrated() const { return _integrated; }
+        int get_max_clock_frequency() const { return _frequency; }
+        int get_max_compute_units() const { return _max_compute_units; }
+        int get_max_work_group_size() const { return _max_work_group_size; }
+        int get_max_sub_group_size() const { return _max_sub_group_size; }
+        int get_max_work_items_per_compute_unit() const
+        {
+            return _max_work_items_per_compute_unit;
+        }
+        int get_max_register_size_per_work_group() const
+        {
+            return _max_register_size_per_work_group;
+        }
+        template <typename NDRangeSizeTy = size_t *,
+                  std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> ||
+                                       std::is_same_v<NDRangeSizeTy, int *>,
+                                   int> = 0>
+        auto get_max_nd_range_size() const
+        {
+            if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>)
+                return _max_nd_range_size;
+            else
+                return _max_nd_range_size_i;
+        }
+        template <typename NDRangeSizeTy = size_t *,
+                  std::enable_if_t<std::is_same_v<NDRangeSizeTy, size_t *> ||
+                                       std::is_same_v<NDRangeSizeTy, int *>,
+                                   int> = 0>
+        auto get_max_nd_range_size()
+        {
+            if constexpr (std::is_same_v<NDRangeSizeTy, size_t *>)
+                return _max_nd_range_size;
+            else
+                return _max_nd_range_size_i;
+        }
+        size_t get_global_mem_size() const { return _global_mem_size; }
+        size_t get_local_mem_size() const { return _local_mem_size; }
+        size_t get_max_mem_alloc_size() const { return _max_mem_alloc_size; }
+        /// Returns the maximum clock rate of device's global memory in kHz. If
+        /// compiler does not support this API then returns default value 3200000 kHz.
+        unsigned int get_memory_clock_rate() const { return _memory_clock_rate; }
+        /// Returns the maximum bus width between device and memory in bits. If
+        /// compiler does not support this API then returns default value 64 bits.
+        unsigned int get_memory_bus_width() const { return _memory_bus_width; }
+        uint32_t get_device_id() const { return _device_id; }
+        std::array<unsigned char, 16> get_uuid() const { return _uuid; }
+        /// Returns global memory cache size in bytes.
+        unsigned int get_global_mem_cache_size() const
+        {
+            return _global_mem_cache_size;
+        }
+
+        // set interface
+        void set_name(const char *name)
+        {
+            size_t length = strlen(name);
+            if (length < 256)
+            {
+                std::memcpy(_name, name, length + 1);
+            }
+            else
+            {
+                std::memcpy(_name, name, 255);
+                _name[255] = '\0';
+            }
+        }
+        void set_max_work_item_sizes(const sycl::range<3> max_work_item_sizes)
+        {
+            for (int i = 0; i < 3; ++i)
+                _max_work_item_sizes_i[i] = max_work_item_sizes[i];
+        }
+        [[deprecated]] void
+        set_max_work_item_sizes(const sycl::id<3> max_work_item_sizes)
+        {
+            for (int i = 0; i < 3; ++i)
+            {
+                _max_work_item_sizes_i[i] = max_work_item_sizes[i];
+            }
+        }
+        void set_host_unified_memory(bool host_unified_memory)
+        {
+            _host_unified_memory = host_unified_memory;
+        }
+        void set_major_version(int major) { _major = major; }
+        void set_minor_version(int minor) { _minor = minor; }
+        void set_integrated(int integrated) { _integrated = integrated; }
+        void set_max_clock_frequency(int frequency) { _frequency = frequency; }
+        void set_max_compute_units(int max_compute_units)
+        {
+            _max_compute_units = max_compute_units;
+        }
+        void set_global_mem_size(size_t global_mem_size)
+        {
+            _global_mem_size = global_mem_size;
+        }
+        void set_local_mem_size(size_t local_mem_size)
+        {
+            _local_mem_size = local_mem_size;
+        }
+        void set_max_mem_alloc_size(size_t max_mem_alloc_size)
+        {
+            _max_mem_alloc_size = max_mem_alloc_size;
+        }
+        void set_max_work_group_size(int max_work_group_size)
+        {
+            _max_work_group_size = max_work_group_size;
+        }
+        void set_max_sub_group_size(int max_sub_group_size)
+        {
+            _max_sub_group_size = max_sub_group_size;
+        }
+        void
+        set_max_work_items_per_compute_unit(int max_work_items_per_compute_unit)
+        {
+            _max_work_items_per_compute_unit = max_work_items_per_compute_unit;
+        }
+        void set_max_nd_range_size(int max_nd_range_size[])
+        {
+            for (int i = 0; i < 3; i++)
+            {
+                _max_nd_range_size[i] = max_nd_range_size[i];
+                _max_nd_range_size_i[i] = max_nd_range_size[i];
+            }
+        }
+        void set_memory_clock_rate(unsigned int memory_clock_rate)
+        {
+            _memory_clock_rate = memory_clock_rate;
+        }
+        void set_memory_bus_width(unsigned int memory_bus_width)
+        {
+            _memory_bus_width = memory_bus_width;
+        }
+        void
+        set_max_register_size_per_work_group(int max_register_size_per_work_group)
+        {
+            _max_register_size_per_work_group = max_register_size_per_work_group;
+        }
+        void set_device_id(uint32_t device_id)
+        {
+            _device_id = device_id;
+        }
+        void set_uuid(std::array<unsigned char, 16> uuid)
+        {
+            _uuid = std::move(uuid);
+        }
+        void set_global_mem_cache_size(unsigned int global_mem_cache_size)
+        {
+            _global_mem_cache_size = global_mem_cache_size;
+        }
+
+    private:
+        char _name[256];
+        int _max_work_item_sizes_i[3];
+        bool _host_unified_memory = false;
+        int _major;
+        int _minor;
+        int _integrated = 0;
+        int _frequency;
+        // Set estimated value 3200000 kHz as default value.
+        unsigned int _memory_clock_rate = 3200000;
+        // Set estimated value 64 bits as default value.
+        unsigned int _memory_bus_width = 64;
+        unsigned int _global_mem_cache_size;
+        int _max_compute_units;
+        int _max_work_group_size;
+        int _max_sub_group_size;
+        int _max_work_items_per_compute_unit;
+        int _max_register_size_per_work_group;
+        size_t _global_mem_size;
+        size_t _local_mem_size;
+        size_t _max_mem_alloc_size;
+        size_t _max_nd_range_size[3];
+        int _max_nd_range_size_i[3];
+        uint32_t _device_id;
+        std::array<unsigned char, 16> _uuid;
+    };
+
+    static int get_major_version(const sycl::device &dev)
+    {
+        int major, minor;
+        detail::get_version(dev, major, minor);
+        return major;
+    }
+
+    static int get_minor_version(const sycl::device &dev)
+    {
+        int major, minor;
+        detail::get_version(dev, major, minor);
+        return minor;
+    }
+
+    static void get_device_info(device_info &out, const sycl::device &dev)
+    {
+        device_info prop;
+        prop.set_name(dev.get_info<sycl::info::device::name>().c_str());
+
+        int major, minor;
+        detail::get_version(dev, major, minor);
+        prop.set_major_version(major);
+        prop.set_minor_version(minor);
+
+        prop.set_max_work_item_sizes(
+#if (__SYCL_COMPILER_VERSION && __SYCL_COMPILER_VERSION < 20220902)
+            // oneAPI DPC++ compiler older than 2022/09/02, where max_work_item_sizes
+            // is an enum class element
+            dev.get_info<sycl::info::device::max_work_item_sizes>());
+#else
+            // SYCL 2020-conformant code, max_work_item_sizes is a struct templated by
+            // an int
+            dev.get_info<sycl::info::device::max_work_item_sizes<3>>());
+#endif
+        prop.set_host_unified_memory(dev.has(sycl::aspect::usm_host_allocations));
+
+        prop.set_max_clock_frequency(
+            dev.get_info<sycl::info::device::max_clock_frequency>() * 1000);
+
+        prop.set_max_compute_units(
+            dev.get_info<sycl::info::device::max_compute_units>());
+        prop.set_max_work_group_size(
+            dev.get_info<sycl::info::device::max_work_group_size>());
+        prop.set_global_mem_size(dev.get_info<sycl::info::device::global_mem_size>());
+        prop.set_local_mem_size(dev.get_info<sycl::info::device::local_mem_size>());
+        prop.set_max_mem_alloc_size(dev.get_info<sycl::info::device::max_mem_alloc_size>());
+
+#if (defined(SYCL_EXT_INTEL_DEVICE_INFO) && SYCL_EXT_INTEL_DEVICE_INFO >= 6)
+        if (dev.has(sycl::aspect::ext_intel_memory_clock_rate))
+        {
+            unsigned int tmp =
+                dev.get_info<sycl::ext::intel::info::device::memory_clock_rate>();
+            if (tmp != 0)
+                prop.set_memory_clock_rate(1000 * tmp);
+        }
+        if (dev.has(sycl::aspect::ext_intel_memory_bus_width))
+        {
+            prop.set_memory_bus_width(
+                dev.get_info<sycl::ext::intel::info::device::memory_bus_width>());
+        }
+        if (dev.has(sycl::aspect::ext_intel_device_id))
+        {
+            prop.set_device_id(
+                dev.get_info<sycl::ext::intel::info::device::device_id>());
+        }
+        if (dev.has(sycl::aspect::ext_intel_device_info_uuid))
+        {
+            prop.set_uuid(dev.get_info<sycl::ext::intel::info::device::uuid>());
+        }
+#elif defined(_MSC_VER) && !defined(__clang__)
+#pragma message("get_device_info: querying memory_clock_rate and \
+        memory_bus_width are not supported by the compiler used. \
+        Use 3200000 kHz as memory_clock_rate default value. \
+        Use 64 bits as memory_bus_width default value.")
+#else
+#warning "get_device_info: querying memory_clock_rate and \
+        memory_bus_width are not supported by the compiler used. \
+        Use 3200000 kHz as memory_clock_rate default value. \
+        Use 64 bits as memory_bus_width default value."
+#endif
+
+        size_t max_sub_group_size = 1;
+        std::vector<size_t> sub_group_sizes =
+            dev.get_info<sycl::info::device::sub_group_sizes>();
+
+        for (const auto &sub_group_size : sub_group_sizes)
+        {
+            if (max_sub_group_size < sub_group_size)
+                max_sub_group_size = sub_group_size;
+        }
+
+        prop.set_max_sub_group_size(max_sub_group_size);
+
+        prop.set_max_work_items_per_compute_unit(
+            dev.get_info<sycl::info::device::max_work_group_size>());
+        int max_nd_range_size[] = {0x7FFFFFFF, 0x7FFFFFFF, 0x7FFFFFFF};
+        prop.set_max_nd_range_size(max_nd_range_size);
+
+        // Estimates max register size per work group, feel free to update the value
+        // according to device properties.
+        prop.set_max_register_size_per_work_group(65536);
+
+        prop.set_global_mem_cache_size(
+            dev.get_info<sycl::info::device::global_mem_cache_size>());
+        out = prop;
+    }
+
+    /// dpct device extension
+    class device_ext : public sycl::device
+    {
+        typedef std::mutex mutex_type;
+
+    public:
+        device_ext() : sycl::device(), _ctx(*this) {}
+        ~device_ext()
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            clear_queues();
+        }
+        device_ext(const sycl::device &base) : sycl::device(base), _ctx(*this)
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            init_queues();
+        }
+
+        int is_native_atomic_supported() { return 0; }
+        int get_major_version() const
+        {
+            return dpct::get_major_version(*this);
+        }
+
+        int get_minor_version() const
+        {
+            return dpct::get_minor_version(*this);
+        }
+
+        int get_max_compute_units() const
+        {
+            return get_device_info().get_max_compute_units();
+        }
+
+        /// Return the maximum clock frequency of this device in KHz.
+        int get_max_clock_frequency() const
+        {
+            return get_device_info().get_max_clock_frequency();
+        }
+
+        int get_integrated() const { return get_device_info().get_integrated(); }
+
+        int get_max_sub_group_size() const
+        {
+            return get_device_info().get_max_sub_group_size();
+        }
+
+        int get_max_register_size_per_work_group() const
+        {
+            return get_device_info().get_max_register_size_per_work_group();
+        }
+
+        int get_max_work_group_size() const
+        {
+            return get_device_info().get_max_work_group_size();
+        }
+
+        int get_mem_base_addr_align() const
+        {
+            return get_info<sycl::info::device::mem_base_addr_align>();
+        }
+
+        size_t get_global_mem_size() const
+        {
+            return get_device_info().get_global_mem_size();
+        }
+
+        size_t get_max_mem_alloc_size() const
+        {
+            return get_device_info().get_max_mem_alloc_size();
+        }
+
+        /// Get the number of bytes of free and total memory on the SYCL device.
+        /// \param [out] free_memory The number of bytes of free memory on the SYCL device.
+        /// \param [out] total_memory The number of bytes of total memory on the SYCL device.
+        void get_memory_info(size_t &free_memory, size_t &total_memory)
+        {
+            total_memory = get_device_info().get_global_mem_size();
+            const char *warning_info = "get_memory_info: [warning] ext_intel_free_memory is not "
+                                 "supported (export/set ZES_ENABLE_SYSMAN=1 to support), "
+                                 "use total memory as free memory";
+#if (defined(__SYCL_COMPILER_VERSION) && __SYCL_COMPILER_VERSION >= 20221105)
+            if (!has(sycl::aspect::ext_intel_free_memory))
+            {
+                std::cerr << warning_info << std::endl;
+                free_memory = total_memory;
+            }
+            else
+            {
+                free_memory = get_info<sycl::ext::intel::info::device::free_memory>();
+            }
+#else
+            std::cerr << warning_info << std::endl;
+            free_memory = total_memory;
+#if defined(_MSC_VER) && !defined(__clang__)
+#pragma message("Querying the number of bytes of free memory is not supported")
+#else
+#warning "Querying the number of bytes of free memory is not supported"
+#endif
+#endif
+        }
+
+        void get_device_info(device_info &out) const
+        {
+            dpct::get_device_info(out, *this);
+        }
+
+        device_info get_device_info() const
+        {
+            device_info prop;
+            dpct::get_device_info(prop, *this);
+            return prop;
+        }
+
+        void reset()
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            clear_queues();
+            init_queues();
+        }
+
+        sycl::queue &in_order_queue() { return *_q_in_order; }
+
+        sycl::queue &out_of_order_queue() { return *_q_out_of_order; }
+
+        sycl::queue &default_queue()
+        {
+            return in_order_queue();
+        }
+
+        void queues_wait_and_throw()
+        {
+            std::unique_lock<mutex_type> lock(m_mutex);
+            std::vector<std::shared_ptr<sycl::queue>> current_queues(
+                _queues);
+            lock.unlock();
+            for (const auto &q : current_queues)
+            {
+                q->wait_and_throw();
+            }
+            // Guard the destruct of current_queues to make sure the ref count is safe.
+            lock.lock();
+        }
+
+        sycl::queue *create_queue(bool enable_exception_handler = false)
+        {
+            return create_in_order_queue(enable_exception_handler);
+        }
+
+        sycl::queue *create_queue(sycl::context context, sycl::device device,
+                                bool enable_exception_handler = false) {
+            return create_in_order_queue(context, device, enable_exception_handler);
+        }
+
+        sycl::queue *create_in_order_queue(bool enable_exception_handler = false) {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            return create_queue_impl(enable_exception_handler,
+                                    sycl::property::queue::in_order());
+        }
+
+        sycl::queue *create_in_order_queue(sycl::context context, sycl::device device,
+                                        bool enable_exception_handler = false) {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            return create_queue_impl(context, device, enable_exception_handler,
+                                    sycl::property::queue::in_order());
+        }
+
+        sycl::queue *create_out_of_order_queue(bool enable_exception_handler = false) {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            return create_queue_impl(enable_exception_handler);
+        }
+
+        void destroy_queue(sycl::queue *&queue)
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            _queues.erase(std::remove_if(_queues.begin(), _queues.end(),
+                                         [=](const std::shared_ptr<sycl::queue> &q) -> bool
+                                         {
+                                             return q.get() == queue;
+                                         }),
+                          _queues.end());
+            queue = nullptr;
+        }
+        void set_saved_queue(sycl::queue *q)
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            _saved_queue = q;
+        }
+        sycl::queue *get_saved_queue() const
+        {
+            std::lock_guard<mutex_type> lock(m_mutex);
+            return _saved_queue;
+        }
+        sycl::context get_context() const { return _ctx; }
+
+    private:
+        void clear_queues()
+        {
+            _queues.clear();
+            _q_in_order = _q_out_of_order = _saved_queue = nullptr;
+        }
+
+        void init_queues()
+        {
+            _q_in_order = create_queue_impl(true, sycl::property::queue::in_order());
+            _q_out_of_order = create_queue_impl(true);
+            _saved_queue = &default_queue();
+        }
+
+        /// Caller should acquire resource \p m_mutex before calling this function.
+        template <class... Properties>
+        sycl::queue *create_queue_impl(bool enable_exception_handler,
+                                       Properties... properties)
+        {
+            sycl::async_handler eh = {};
+            if (enable_exception_handler)
+            {
+                eh = exception_handler;
+            }
+            _queues.push_back(std::make_shared<sycl::queue>(
+                _ctx, *this, eh,
+                sycl::property_list(
+#ifdef DPCT_PROFILING_ENABLED
+                    sycl::property::queue::enable_profiling(),
+#endif
+                    properties...)));
+
+            return _queues.back().get();
+        }
+
+        template <class... Properties>
+        sycl::queue *create_queue_impl(sycl::context context, sycl::device device,
+                                    bool enable_exception_handler,
+                                    Properties... properties) {
+            sycl::async_handler eh = {};
+            if (enable_exception_handler) {
+                eh = exception_handler;
+            }
+            _queues.push_back(std::make_shared<sycl::queue>(
+                context, device, eh,
+                sycl::property_list(
+        #ifdef DPCT_PROFILING_ENABLED
+                    sycl::property::queue::enable_profiling(),
+        #endif
+                    properties...)));
+
+            return _queues.back().get();
+        }
+
+        void get_version(int &major, int &minor) const
+        {
+            detail::get_version(*this, major, minor);
+        }
+        sycl::queue *_q_in_order, *_q_out_of_order;
+        sycl::queue *_saved_queue;
+        sycl::context _ctx;
+        std::vector<std::shared_ptr<sycl::queue>> _queues;
+        mutable mutex_type m_mutex;
+    };
+
+    /// device manager
+    class dev_mgr
+    {
+    public:
+        device_ext &current_device()
+        {
+            unsigned int dev_id = current_device_id();
+            check_id(dev_id);
+            return *_devs[dev_id];
+        }
+        device_ext &cpu_device() const
+        {
+            std::lock_guard<std::recursive_mutex> lock(m_mutex);
+            if (_cpu_device == -1)
+            {
+                throw std::runtime_error("no valid cpu device");
+            }
+            else
+            {
+                return *_devs[_cpu_device];
+            }
+        }
+        device_ext &get_device(unsigned int id) const
+        {
+            std::lock_guard<std::recursive_mutex> lock(m_mutex);
+            check_id(id);
+            return *_devs[id];
+        }
+        unsigned int current_device_id() const
+        {
+            std::lock_guard<std::recursive_mutex> lock(m_mutex);
+            auto it = _thread2dev_map.find(get_tid());
+            if (it != _thread2dev_map.end())
+                return it->second;
+            return DEFAULT_DEVICE_ID;
+        }
+
+        /// Select device with a device ID.
+        /// \param [in] id The id of the device which can
+        /// be obtained through get_device_id(const sycl::device).
+        void select_device(unsigned int id)
+        {
+            std::lock_guard<std::recursive_mutex> lock(m_mutex);
+            check_id(id);
+            _thread2dev_map[get_tid()] = id;
+        }
+        unsigned int device_count() { return _devs.size(); }
+
+        unsigned int get_device_id(const sycl::device &dev)
+        {
+            unsigned int id = 0;
+            for (auto dev_item : _devs)
+            {
+                if (*dev_item == dev)
+                {
+                    break;
+                }
+                id++;
+            }
+            return id;
+        }
+
+        template <class DeviceSelector>
+        std::enable_if_t<
+            std::is_invocable_r_v<int, DeviceSelector, const sycl::device &>>
+        select_device(const DeviceSelector &selector = sycl::gpu_selector_v)
+        {
+            sycl::device selected_device = sycl::device(selector);
+            unsigned int selected_device_id = get_device_id(selected_device);
+            select_device(selected_device_id);
+        }
+
+        /// Returns the instance of device manager singleton.
+        static dev_mgr &instance()
+        {
+            static dev_mgr d_m;
+            return d_m;
+        }
+        dev_mgr(const dev_mgr &) = delete;
+        dev_mgr &operator=(const dev_mgr &) = delete;
+        dev_mgr(dev_mgr &&) = delete;
+        dev_mgr &operator=(dev_mgr &&) = delete;
+
+    private:
+        mutable std::recursive_mutex m_mutex;
+        static bool compare_dev(sycl::device &device1, sycl::device &device2)
+        {
+            sycl::backend backend1 = device1.get_backend();
+            sycl::backend backend2 = device2.get_backend();
+            // levelzero backends always come first
+            if(backend1 == sycl::backend::ext_oneapi_level_zero && backend2 != sycl::backend::ext_oneapi_level_zero) return true;
+            if(backend1 != sycl::backend::ext_oneapi_level_zero && backend2 == sycl::backend::ext_oneapi_level_zero) return false;
+            dpct::device_info prop1;
+            dpct::get_device_info(prop1, device1);
+            dpct::device_info prop2;
+            dpct::get_device_info(prop2, device2);
+            return prop1.get_max_compute_units() > prop2.get_max_compute_units();
+        }
+        static int convert_backend_index(std::string & backend) {
+            if (backend == "ext_oneapi_level_zero:gpu") return 0;
+            if (backend == "opencl:gpu") return 1;
+            if (backend == "ext_oneapi_cuda:gpu") return 2;
+            if (backend == "ext_oneapi_hip:gpu") return 3;
+            if (backend == "opencl:cpu") return 4;
+            if (backend == "opencl:acc") return 5;
+            printf("convert_backend_index: can't handle backend=%s\n", backend.c_str());
+            GGML_ASSERT(false);
+        }
+        static bool compare_backend(std::string &backend1, std::string &backend2) {
+            return convert_backend_index(backend1) < convert_backend_index(backend2);
+        }
+        dev_mgr()
+        {
+            sycl::device default_device =
+                sycl::device(sycl::default_selector_v);
+            _devs.push_back(std::make_shared<device_ext>(default_device));
+
+            std::vector<sycl::device> sycl_all_devs;
+            // Collect other devices except for the default device.
+            if (default_device.is_cpu())
+                _cpu_device = 0;
+
+            auto Platforms = sycl::platform::get_platforms();
+            // Keep track of the number of devices per backend
+            std::map<sycl::backend, size_t> DeviceNums;
+            std::map<std::string, std::vector<sycl::device>> backend_devices;
+
+            while (!Platforms.empty()) {
+                auto Platform = Platforms.back();
+                Platforms.pop_back();
+                auto devices = Platform.get_devices();
+                std::string backend_type = get_device_backend_and_type(devices[0]);
+                for (const auto &device : devices) {
+                    backend_devices[backend_type].push_back(device);
+                }
+            }
+
+            std::vector<std::string> keys;
+            for(auto it = backend_devices.begin(); it != backend_devices.end(); ++it) {
+                keys.push_back(it->first);
+            }
+            std::sort(keys.begin(), keys.end(), compare_backend);
+
+            for (auto &key : keys) {
+                std::vector<sycl::device> devs = backend_devices[key];
+                std::sort(devs.begin(), devs.end(), compare_dev);
+                for (const auto &dev : devs) {
+                    sycl_all_devs.push_back(dev);
+                }
+            }
+
+            for (auto &dev : sycl_all_devs)
+            {
+                if (dev == default_device)
+                {
+                    continue;
+                }
+                _devs.push_back(std::make_shared<device_ext>(dev));
+                if (_cpu_device == -1 && dev.is_cpu())
+                {
+                    _cpu_device = _devs.size() - 1;
+                }
+            }
+        }
+        void check_id(unsigned int id) const
+        {
+            if (id >= _devs.size())
+            {
+                throw std::runtime_error("invalid device id");
+            }
+        }
+        std::vector<std::shared_ptr<device_ext>> _devs;
+        /// DEFAULT_DEVICE_ID is used, if current_device_id() can not find current
+        /// thread id in _thread2dev_map, which means default device should be used
+        /// for the current thread.
+        const unsigned int DEFAULT_DEVICE_ID = 0;
+        /// thread-id to device-id map.
+        std::map<unsigned int, unsigned int> _thread2dev_map;
+        int _cpu_device = -1;
+    };
+
+    static inline sycl::queue &get_default_queue()
+    {
+        return dev_mgr::instance().current_device().default_queue();
+    }
+
+    namespace detail
+    {
+        enum class pointer_access_attribute
+        {
+            host_only = 0,
+            device_only,
+            host_device,
+            end
+        };
+
+        static pointer_access_attribute get_pointer_attribute(sycl::queue &q,
+                                                              const void *ptr)
+        {
+            switch (sycl::get_pointer_type(ptr, q.get_context()))
+            {
+            case sycl::usm::alloc::unknown:
+                return pointer_access_attribute::host_only;
+            case sycl::usm::alloc::device:
+                return pointer_access_attribute::device_only;
+            case sycl::usm::alloc::shared:
+            case sycl::usm::alloc::host:
+                return pointer_access_attribute::host_device;
+            }
+        }
+
+        template <typename ArgT>
+        inline constexpr std::uint64_t get_type_combination_id(ArgT Val)
+        {
+            static_assert((unsigned char)library_data_t::library_data_t_size <=
+                              std::numeric_limits<unsigned char>::max() &&
+                          "library_data_t size exceeds limit.");
+            static_assert(std::is_same_v<ArgT, library_data_t>, "Unsupported ArgT");
+            return (std::uint64_t)Val;
+        }
+
+        template <typename FirstT, typename... RestT>
+        inline constexpr std::uint64_t get_type_combination_id(FirstT FirstVal,
+                                                               RestT... RestVal)
+        {
+            static_assert((std::uint8_t)library_data_t::library_data_t_size <=
+                              std::numeric_limits<unsigned char>::max() &&
+                          "library_data_t size exceeds limit.");
+            static_assert(sizeof...(RestT) <= 8 && "Too many parameters");
+            static_assert(std::is_same_v<FirstT, library_data_t>, "Unsupported FirstT");
+            return get_type_combination_id(RestVal...) << 8 | ((std::uint64_t)FirstVal);
+        }
+
+        class mem_mgr
+        {
+            mem_mgr()
+            {
+                // Reserved address space, no real memory allocation happens here.
+#if defined(__linux__)
+                mapped_address_space =
+                    (byte_t *)mmap(nullptr, mapped_region_size, PROT_NONE,
+                                   MAP_PRIVATE | MAP_ANONYMOUS, -1, 0);
+#elif defined(_WIN64)
+                mapped_address_space = (byte_t *)VirtualAlloc(
+                    NULL,               // NULL specified as the base address parameter
+                    mapped_region_size, // Size of allocation
+                    MEM_RESERVE,        // Allocate reserved pages
+                    PAGE_NOACCESS);     // Protection = no access
+#else
+#error "Only support Windows and Linux."
+#endif
+                next_free = mapped_address_space;
+            };
+
+        public:
+            using buffer_id_t = int;
+
+            struct allocation
+            {
+                buffer_t buffer;
+                byte_t *alloc_ptr;
+                size_t size;
+            };
+
+            ~mem_mgr()
+            {
+#if defined(__linux__)
+                munmap(mapped_address_space, mapped_region_size);
+#elif defined(_WIN64)
+                VirtualFree(mapped_address_space, 0, MEM_RELEASE);
+#else
+#error "Only support Windows and Linux."
+#endif
+            };
+
+            mem_mgr(const mem_mgr &) = delete;
+            mem_mgr &operator=(const mem_mgr &) = delete;
+            mem_mgr(mem_mgr &&) = delete;
+            mem_mgr &operator=(mem_mgr &&) = delete;
+
+            /// Allocate
+            void *mem_alloc(size_t size)
+            {
+                if (!size)
+                    return nullptr;
+                std::lock_guard<std::mutex> lock(m_mutex);
+                if (next_free + size > mapped_address_space + mapped_region_size)
+                {
+                    throw std::runtime_error("dpct_malloc: out of memory for virtual memory pool");
+                }
+                // Allocation
+                sycl::range<1> r(size);
+                buffer_t buf(r);
+                allocation A{buf, next_free, size};
+                // Map allocation to device pointer
+                void *result = next_free;
+                m_map.emplace(next_free + size, A);
+                // Update pointer to the next free space.
+                next_free += (size + extra_padding + alignment - 1) & ~(alignment - 1);
+
+                return result;
+            }
+
+            /// Deallocate
+            void mem_free(const void *ptr)
+            {
+                if (!ptr)
+                    return;
+                std::lock_guard<std::mutex> lock(m_mutex);
+                auto it = get_map_iterator(ptr);
+                m_map.erase(it);
+            }
+
+            /// map: device pointer -> allocation(buffer, alloc_ptr, size)
+            allocation translate_ptr(const void *ptr)
+            {
+                std::lock_guard<std::mutex> lock(m_mutex);
+                auto it = get_map_iterator(ptr);
+                return it->second;
+            }
+
+            /// Check if the pointer represents device pointer or not.
+            bool is_device_ptr(const void *ptr) const
+            {
+                std::lock_guard<std::mutex> lock(m_mutex);
+                return (mapped_address_space <= ptr) &&
+                       (ptr < mapped_address_space + mapped_region_size);
+            }
+
+            /// Returns the instance of memory manager singleton.
+            static mem_mgr &instance()
+            {
+                static mem_mgr m;
+                return m;
+            }
+
+        private:
+            std::map<byte_t *, allocation> m_map;
+            mutable std::mutex m_mutex;
+            byte_t *mapped_address_space;
+            byte_t *next_free;
+            const size_t mapped_region_size = 128ull * 1024 * 1024 * 1024;
+            const size_t alignment = 256;
+            /// This padding may be defined to some positive value to debug
+            /// out of bound accesses.
+            const size_t extra_padding = 0;
+
+            std::map<byte_t *, allocation>::iterator get_map_iterator(const void *ptr)
+            {
+                auto it = m_map.upper_bound((byte_t *)ptr);
+                if (it == m_map.end())
+                {
+                    // Not a virtual pointer.
+                    throw std::runtime_error("can not get buffer from non-virtual pointer");
+                }
+                const allocation &alloc = it->second;
+                if (ptr < alloc.alloc_ptr)
+                {
+                    // Out of bound.
+                    // This may happen if there's a gap between allocations due to alignment
+                    // or extra padding and pointer points to this gap.
+                    throw std::runtime_error("invalid virtual pointer");
+                }
+                return it;
+            }
+        };
+
+        template <class T, memory_region Memory, size_t Dimension>
+        class accessor;
+        template <memory_region Memory, class T = byte_t>
+        class memory_traits
+        {
+        public:
+            static constexpr sycl::access::target target =
+                sycl::access::target::device;
+            static constexpr sycl::access_mode mode =
+                (Memory == constant) ? sycl::access_mode::read
+                                     : sycl::access_mode::read_write;
+            static constexpr size_t type_size = sizeof(T);
+            using element_t =
+                typename std::conditional<Memory == constant, const T, T>::type;
+            using value_t = typename std::remove_cv<T>::type;
+            template <size_t Dimension = 1>
+            using accessor_t = typename std::conditional<
+                Memory == local, sycl::local_accessor<value_t, Dimension>,
+                sycl::accessor<T, Dimension, mode, target>>::type;
+            using pointer_t = T *;
+        };
+
+        static inline void *dpct_malloc(size_t size, sycl::queue &q)
+        {
+            return sycl::malloc_device(size, q.get_device(), q.get_context());
+        }
+
+#define PITCH_DEFAULT_ALIGN(x) (((x) + 31) & ~(0x1F))
+        static inline void *dpct_malloc(size_t &pitch, size_t x, size_t y, size_t z,
+                                        sycl::queue &q)
+        {
+            pitch = PITCH_DEFAULT_ALIGN(x);
+            return dpct_malloc(pitch * y * z, q);
+        }
+
+        /**
+         * @brief Sets \p value to the first \p size elements starting from \p dev_ptr in \p q.
+         * @tparam valueT The type of the element to be set.
+         * @param [in] q The queue in which the operation is done.
+         * @param [in] dev_ptr Pointer to the virtual device memory address.
+         * @param [in] value The value to be set.
+         * @param [in] size Number of elements to be set to the value.
+         * @return An event representing the memset operation.
+         */
+        template <typename valueT>
+        static inline sycl::event dpct_memset(sycl::queue &q, void *dev_ptr,
+                                              valueT value, size_t size)
+        {
+            return q.fill(dev_ptr, value, size);
+        }
+
+        /**
+         * @brief Sets \p value to the 3D memory region pointed by \p data in \p q.
+         * @tparam valueT The type of the element to be set.
+         * @param [in] q The queue in which the operation is done.
+         * @param [in] data Pointer to the pitched device memory region.
+         * @param [in] value The value to be set.
+         * @param [in] size 3D memory region by number of elements.
+         * @return An event list representing the memset operations.
+         */
+        template <typename valueT>
+        static inline std::vector<sycl::event>
+        dpct_memset(sycl::queue &q, pitched_data data, valueT value,
+                    sycl::range<3> size)
+        {
+            std::vector<sycl::event> event_list;
+            size_t slice = data.get_pitch() * data.get_y();
+            unsigned char *data_surface = (unsigned char *)data.get_data_ptr();
+            for (size_t z = 0; z < size.get(2); ++z)
+            {
+                unsigned char *data_ptr = data_surface;
+                for (size_t y = 0; y < size.get(1); ++y)
+                {
+                    event_list.push_back(dpct_memset(q, data_ptr, value, size.get(0)));
+                    data_ptr += data.get_pitch();
+                }
+                data_surface += slice;
+            }
+            return event_list;
+        }
+
+        /**
+         * @brief Sets \p val to the pitched 2D memory region pointed by \p ptr in \p q.
+         * @tparam valueT The type of the element to be set.
+         * @param [in] q The queue in which the operation is done.
+         * @param [in] ptr Pointer to the virtual device memory.
+         * @param [in] pitch The pitch size by number of elements, including padding.
+         * @param [in] val The value to be set.
+         * @param [in] x The width of memory region by number of elements.
+         * @param [in] y The height of memory region by number of elements.
+         * @return An event list representing the memset operations.
+         */
+        template <typename valueT>
+        static inline std::vector<sycl::event>
+        dpct_memset(sycl::queue &q, void *ptr, size_t pitch, valueT val, size_t x,
+                    size_t y)
+        {
+            return dpct_memset(q, pitched_data(ptr, pitch, x, 1), val,
+                               sycl::range<3>(x, y, 1));
+        }
+
+        static memcpy_direction deduce_memcpy_direction(sycl::queue &q, void *to_ptr,
+                                                        const void *from_ptr,
+                                                        memcpy_direction dir)
+        {
+            switch (dir)
+            {
+            case memcpy_direction::host_to_host:
+            case memcpy_direction::host_to_device:
+            case memcpy_direction::device_to_host:
+            case memcpy_direction::device_to_device:
+                return dir;
+            case memcpy_direction::automatic:
+            {
+                // table[to_attribute][from_attribute]
+                static const memcpy_direction
+                    direction_table[static_cast<unsigned>(pointer_access_attribute::end)]
+                                   [static_cast<unsigned>(pointer_access_attribute::end)] =
+                                       {{memcpy_direction::host_to_host,
+                                         memcpy_direction::device_to_host,
+                                         memcpy_direction::host_to_host},
+                                        {memcpy_direction::host_to_device,
+                                         memcpy_direction::device_to_device,
+                                         memcpy_direction::device_to_device},
+                                        {memcpy_direction::host_to_host,
+                                         memcpy_direction::device_to_device,
+                                         memcpy_direction::device_to_device}};
+                return direction_table[static_cast<unsigned>(get_pointer_attribute(
+                    q, to_ptr))][static_cast<unsigned>(get_pointer_attribute(q, from_ptr))];
+            }
+            default:
+                throw std::runtime_error("dpct_memcpy: invalid direction value");
+            }
+        }
+
+        static sycl::event
+        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size,
+                    memcpy_direction direction,
+                    const std::vector<sycl::event> &dep_events = {})
+        {
+            if (!size)
+                return sycl::event{};
+            return q.memcpy(to_ptr, from_ptr, size, dep_events);
+            GGML_UNUSED(direction);
+        }
+
+        // Get actual copy range and make sure it will not exceed range.
+        static inline size_t get_copy_range(sycl::range<3> size, size_t slice,
+                                            size_t pitch)
+        {
+            return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0);
+        }
+
+        static inline size_t get_offset(sycl::id<3> id, size_t slice,
+                                        size_t pitch)
+        {
+            return slice * id.get(2) + pitch * id.get(1) + id.get(0);
+        }
+
+        /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr
+        /// and \p from_range to another specified by \p to_ptr and \p to_range.
+        static inline std::vector<sycl::event>
+        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
+                    sycl::range<3> to_range, sycl::range<3> from_range,
+                    sycl::id<3> to_id, sycl::id<3> from_id,
+                    sycl::range<3> size, memcpy_direction direction,
+                    const std::vector<sycl::event> &dep_events = {})
+        {
+            // RAII for host pointer
+            class host_buffer
+            {
+                void *_buf;
+                size_t _size;
+                sycl::queue &_q;
+                const std::vector<sycl::event> &_deps; // free operation depends
+
+            public:
+                host_buffer(size_t size, sycl::queue &q,
+                            const std::vector<sycl::event> &deps)
+                    : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {}
+                void *get_ptr() const { return _buf; }
+                size_t get_size() const { return _size; }
+                ~host_buffer()
+                {
+                    if (_buf)
+                    {
+                        _q.submit([&](sycl::handler &cgh)
+                                  {
+        cgh.depends_on(_deps);
+        cgh.host_task([buf = _buf] { std::free(buf); }); });
+                    }
+                }
+            };
+            std::vector<sycl::event> event_list;
+
+            size_t to_slice = to_range.get(1) * to_range.get(0),
+                   from_slice = from_range.get(1) * from_range.get(0);
+            unsigned char *to_surface =
+                (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0));
+            const unsigned char *from_surface =
+                (const unsigned char *)from_ptr +
+                get_offset(from_id, from_slice, from_range.get(0));
+
+            if (to_slice == from_slice && to_slice == size.get(1) * size.get(0))
+            {
+                return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2),
+                                    direction, dep_events)};
+            }
+            direction = deduce_memcpy_direction(q, to_ptr, from_ptr, direction);
+            size_t size_slice = size.get(1) * size.get(0);
+            switch (direction)
+            {
+            case host_to_host:
+                for (size_t z = 0; z < size.get(2); ++z)
+                {
+                    unsigned char *to_ptr = to_surface;
+                    const unsigned char *from_ptr = from_surface;
+                    if (to_range.get(0) == from_range.get(0) &&
+                        to_range.get(0) == size.get(0))
+                    {
+                        event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice,
+                                                         direction, dep_events));
+                    }
+                    else
+                    {
+                        for (size_t y = 0; y < size.get(1); ++y)
+                        {
+                            event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0),
+                                                             direction, dep_events));
+                            to_ptr += to_range.get(0);
+                            from_ptr += from_range.get(0);
+                        }
+                    }
+                    to_surface += to_slice;
+                    from_surface += from_slice;
+                }
+                break;
+            case host_to_device:
+            {
+                host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q,
+                                event_list);
+                std::vector<sycl::event> host_events;
+                if (to_slice == size_slice)
+                {
+                    // Copy host data to a temp host buffer with the shape of target.
+                    host_events =
+                        dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range,
+                                    sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size,
+                                    host_to_host, dep_events);
+                }
+                else
+                {
+                    // Copy host data to a temp host buffer with the shape of target.
+                    host_events = dpct_memcpy(
+                        q, buf.get_ptr(), from_surface, to_range, from_range,
+                        sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host,
+                        // If has padding data, not sure whether it is useless. So fill temp
+                        // buffer with it.
+                        std::vector<sycl::event>{
+                            dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(),
+                                        device_to_host, dep_events)});
+                }
+                // Copy from temp host buffer to device with only one submit.
+                event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(),
+                                                 buf.get_size(), host_to_device,
+                                                 host_events));
+                break;
+            }
+            case device_to_host:
+            {
+                host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q,
+                                event_list);
+                // Copy from host temp buffer to host target with reshaping.
+                event_list = dpct_memcpy(
+                    q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0),
+                    sycl::id<3>(0, 0, 0), size, host_to_host,
+                    // Copy from device to temp host buffer with only one submit.
+                    std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface,
+                                                         buf.get_size(),
+                                                         device_to_host, dep_events)});
+                break;
+            }
+            case device_to_device:
+                event_list.push_back(q.submit([&](sycl::handler &cgh){
+                cgh.depends_on(dep_events);
+                cgh.parallel_for<class dpct_memcpy_3d_detail>(
+                    size,
+                    [=](sycl::id<3> id) {
+                        to_surface[get_offset(id, to_slice, to_range.get(0))] =
+                            from_surface[get_offset(id, from_slice, from_range.get(0))];
+                    }); }));
+                break;
+            default:
+                throw std::runtime_error("dpct_memcpy: invalid direction value");
+            }
+            return event_list;
+        }
+
+        /// memcpy 2D/3D matrix specified by pitched_data.
+        static inline std::vector<sycl::event>
+        dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id,
+                    pitched_data from, sycl::id<3> from_id, sycl::range<3> size,
+                    memcpy_direction direction = automatic)
+        {
+            return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(),
+                               sycl::range<3>(to.get_pitch(), to.get_y(), 1),
+                               sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id,
+                               size, direction);
+        }
+
+        /// memcpy 2D matrix with pitch.
+        static inline std::vector<sycl::event>
+        dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
+                    size_t to_pitch, size_t from_pitch, size_t x, size_t y,
+                    memcpy_direction direction = automatic)
+        {
+            return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1),
+                               sycl::range<3>(from_pitch, y, 1),
+                               sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0),
+                               sycl::range<3>(x, y, 1), direction);
+        }
+
+        namespace deprecated
+        {
+
+            template <typename T, sycl::usm::alloc AllocKind>
+            class usm_allocator
+            {
+            private:
+                using Alloc = sycl::usm_allocator<T, AllocKind>;
+                Alloc _impl;
+
+            public:
+                using value_type = typename std::allocator_traits<Alloc>::value_type;
+                using pointer = typename std::allocator_traits<Alloc>::pointer;
+                using const_pointer = typename std::allocator_traits<Alloc>::const_pointer;
+                using void_pointer = typename std::allocator_traits<Alloc>::void_pointer;
+                using const_void_pointer =
+                    typename std::allocator_traits<Alloc>::const_void_pointer;
+                using reference = typename std::allocator_traits<Alloc>::value_type &;
+                using const_reference =
+                    const typename std::allocator_traits<Alloc>::value_type &;
+                using difference_type =
+                    typename std::allocator_traits<Alloc>::difference_type;
+                using size_type = typename std::allocator_traits<Alloc>::size_type;
+                using propagate_on_container_copy_assignment = typename std::allocator_traits<
+                    Alloc>::propagate_on_container_copy_assignment;
+                using propagate_on_container_move_assignment = typename std::allocator_traits<
+                    Alloc>::propagate_on_container_move_assignment;
+                using propagate_on_container_swap =
+                    typename std::allocator_traits<Alloc>::propagate_on_container_swap;
+                using is_always_equal =
+                    typename std::allocator_traits<Alloc>::is_always_equal;
+
+                template <typename U>
+                struct rebind
+                {
+                    typedef usm_allocator<U, AllocKind> other;
+                };
+
+                usm_allocator() : _impl(dpct::get_default_queue()) {}
+                ~usm_allocator() {}
+                usm_allocator(const usm_allocator &other) : _impl(other._impl) {}
+                usm_allocator(usm_allocator &&other) : _impl(std::move(other._impl)) {}
+                pointer address(reference r) { return &r; }
+                const_pointer address(const_reference r) { return &r; }
+                pointer allocate(size_type cnt, const_void_pointer hint = nullptr)
+                {
+                    return std::allocator_traits<Alloc>::allocate(_impl, cnt, hint);
+                }
+                void deallocate(pointer p, size_type cnt)
+                {
+                    std::allocator_traits<Alloc>::deallocate(_impl, p, cnt);
+                }
+                size_type max_size() const
+                {
+                    return std::allocator_traits<Alloc>::max_size(_impl);
+                }
+                bool operator==(const usm_allocator &other) const { return _impl == other._impl; }
+                bool operator!=(const usm_allocator &other) const { return _impl != other._impl; }
+            };
+
+        } // namespace deprecated
+
+        inline void dpct_free(void *ptr,
+                              const sycl::queue &q)
+        {
+            if (ptr)
+            {
+                sycl::free(ptr, q.get_context());
+            }
+        }
+
+        template <typename T>
+        inline auto get_memory(const void *x)
+        {
+            T *new_x = reinterpret_cast<T *>(const_cast<void *>(x));
+            return new_x;
+        }
+
+        template <typename T>
+        inline typename DataType<T>::T2 get_value(const T *s, sycl::queue &q)
+        {
+            using Ty = typename DataType<T>::T2;
+            Ty s_h;
+            if (get_pointer_attribute(q, s) == pointer_access_attribute::device_only)
+                detail::dpct_memcpy(q, (void *)&s_h, (const void *)s, sizeof(T), device_to_host)
+                    .wait();
+            else
+                s_h = *reinterpret_cast<const Ty *>(s);
+            return s_h;
+        }
+
+    } // namespace detail
+
+    template <typename T>
+    inline auto get_value(const T *s, sycl::queue &q)
+    {
+        return detail::get_value(s, q);
+    }
+
+    namespace detail
+    {
+        template <class Ta, class Tb, class Tc, class Ts>
+        inline void gemm_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                              oneapi::mkl::transpose b_trans, int m, int n, int k,
+                              const void *alpha, const void *a, int lda, const void *b,
+                              int ldb, const void *beta, void *c, int ldc)
+        {
+            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
+            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
+            auto data_a = get_memory<const Ta>(a);
+            auto data_b = get_memory<const Tb>(b);
+            auto data_c = get_memory<Tc>(c);
+            oneapi::mkl::blas::column_major::gemm(
+                q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda,
+                data_b, ldb, beta_value, data_c, ldc);
+        }
+
+        template <typename VecT, class BinaryOperation, class = void>
+        class vectorized_binary
+        {
+        public:
+            inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op)
+            {
+                VecT v4;
+                for (size_t i = 0; i < v4.size(); ++i)
+                {
+                    v4[i] = binary_op(a[i], b[i]);
+                }
+                return v4;
+            }
+        };
+
+        template <typename VecT, class BinaryOperation>
+        class vectorized_binary<
+            VecT, BinaryOperation,
+            std::void_t<std::invoke_result_t<BinaryOperation, VecT, VecT>>>
+        {
+        public:
+            inline VecT operator()(VecT a, VecT b, const BinaryOperation binary_op)
+            {
+                return binary_op(a, b).template as<VecT>();
+            }
+        };
+
+        template <class Ta, class Tb, class Tc, class Ts>
+        inline void gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                                    oneapi::mkl::transpose b_trans, int m, int n, int k,
+                                    const void *alpha, const void **a, int lda,
+                                    const void **b, int ldb, const void *beta, void **c,
+                                    int ldc, int batch_size)
+        {
+            struct matrix_info_t
+            {
+                oneapi::mkl::transpose transpose_info[2];
+                Ts value_info[2];
+                std::int64_t size_info[3];
+                std::int64_t ld_info[3];
+                std::int64_t groupsize_info;
+            };
+
+            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
+            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
+
+            matrix_info_t *matrix_info =
+                (matrix_info_t *)std::malloc(sizeof(matrix_info_t));
+            matrix_info->transpose_info[0] = a_trans;
+            matrix_info->transpose_info[1] = b_trans;
+            matrix_info->value_info[0] = alpha_value;
+            matrix_info->value_info[1] = beta_value;
+            matrix_info->size_info[0] = m;
+            matrix_info->size_info[1] = n;
+            matrix_info->size_info[2] = k;
+            matrix_info->ld_info[0] = lda;
+            matrix_info->ld_info[1] = ldb;
+            matrix_info->ld_info[2] = ldc;
+            matrix_info->groupsize_info = batch_size;
+
+            sycl::event e = oneapi::mkl::blas::column_major::gemm_batch(
+                q, matrix_info->transpose_info, matrix_info->transpose_info + 1,
+                matrix_info->size_info, matrix_info->size_info + 1,
+                matrix_info->size_info + 2, matrix_info->value_info,
+                reinterpret_cast<const Ta **>(a), matrix_info->ld_info,
+                reinterpret_cast<const Tb **>(b), matrix_info->ld_info + 1,
+                matrix_info->value_info + 1, reinterpret_cast<Tc **>(c),
+                matrix_info->ld_info + 2, 1, &(matrix_info->groupsize_info));
+
+            q.submit([&](sycl::handler &cgh)
+                     {
+    cgh.depends_on(e);
+    cgh.host_task([=] { std::free(matrix_info); }); });
+        }
+
+        template <class Ta, class Tb, class Tc, class Ts>
+        inline void
+        gemm_batch_impl(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                        oneapi::mkl::transpose b_trans, int m, int n,
+                        int k, const void *alpha, const void *a, int lda,
+                        long long int stride_a, const void *b, int ldb,
+                        long long int stride_b, const void *beta, void *c,
+                        int ldc, long long int stride_c, int batch_size)
+        {
+            Ts alpha_value = dpct::get_value(reinterpret_cast<const Ts *>(alpha), q);
+            Ts beta_value = dpct::get_value(reinterpret_cast<const Ts *>(beta), q);
+            auto data_a = get_memory<const Ta>(a);
+            auto data_b = get_memory<const Tb>(b);
+            auto data_c = get_memory<Tc>(c);
+            oneapi::mkl::blas::column_major::gemm_batch(
+                q, a_trans, b_trans, m, n, k, alpha_value, data_a, lda,
+                stride_a, data_b, ldb, stride_b, beta_value,
+                data_c, ldc, stride_c, batch_size);
+        }
+
+    } // namespace detail
+
+    template <typename VecT, class BinaryOperation>
+    inline unsigned vectorized_binary(unsigned a, unsigned b,
+                                      const BinaryOperation binary_op)
+    {
+        sycl::vec<unsigned, 1> v0{a}, v1{b};
+        auto v2 = v0.as<VecT>();
+        auto v3 = v1.as<VecT>();
+        auto v4 =
+            detail::vectorized_binary<VecT, BinaryOperation>()(v2, v3, binary_op);
+        v0 = v4.template as<sycl::vec<unsigned, 1>>();
+        return v0;
+    }
+
+    static void async_dpct_memcpy(void *to_ptr, const void *from_ptr, size_t size,
+                                  memcpy_direction direction = automatic,
+                                  sycl::queue &q = dpct::get_default_queue())
+    {
+        detail::dpct_memcpy(q, to_ptr, from_ptr, size, direction);
+    }
+
+    static inline unsigned int select_device(unsigned int id)
+    {
+        dev_mgr::instance().select_device(id);
+        return id;
+    }
+
+    template <typename T>
+    T permute_sub_group_by_xor(sycl::sub_group g, T x, unsigned int mask,
+                               unsigned int logical_sub_group_size = 32)
+    {
+        unsigned int id = g.get_local_linear_id();
+        unsigned int start_index =
+            id / logical_sub_group_size * logical_sub_group_size;
+        unsigned int target_offset = (id % logical_sub_group_size) ^ mask;
+        return sycl::select_from_group(g, x,
+                                       target_offset < logical_sub_group_size
+                                           ? start_index + target_offset
+                                           : id);
+    }
+
+    template <typename T>
+    sycl::vec<T, 4> extract_and_sign_or_zero_extend4(T val)
+    {
+        return sycl::vec<T, 1>(val)
+            .template as<sycl::vec<
+                std::conditional_t<std::is_signed_v<T>, int8_t, uint8_t>, 4>>()
+            .template convert<T>();
+    }
+
+    template <typename T1, typename T2>
+    using dot_product_acc_t =
+        std::conditional_t<std::is_unsigned_v<T1> && std::is_unsigned_v<T2>,
+                           uint32_t, int32_t>;
+
+    template <typename T1, typename T2, typename T3>
+    inline auto dp4a(T1 a, T2 b, T3 c)
+    {
+        dot_product_acc_t<T1, T2> res = c;
+        auto va = extract_and_sign_or_zero_extend4(a);
+        auto vb = extract_and_sign_or_zero_extend4(b);
+        res += va[0] * vb[0];
+        res += va[1] * vb[1];
+        res += va[2] * vb[2];
+        res += va[3] * vb[3];
+        return res;
+    }
+
+    struct sub_sat
+    {
+        template <typename T>
+        auto operator()(const T x, const T y) const
+        {
+            return sycl::sub_sat(x, y);
+        }
+    };
+
+    template <typename S, typename T>
+    inline T vectorized_min(T a, T b)
+    {
+        sycl::vec<T, 1> v0{a}, v1{b};
+        auto v2 = v0.template as<S>();
+        auto v3 = v1.template as<S>();
+        auto v4 = sycl::min(v2, v3);
+        v0 = v4.template as<sycl::vec<T, 1>>();
+        return v0;
+    }
+
+    inline float pow(const float a, const int b) { return sycl::pown(a, b); }
+    inline double pow(const double a, const int b) { return sycl::pown(a, b); }
+    inline float pow(const float a, const float b) { return sycl::pow(a, b); }
+    inline double pow(const double a, const double b) { return sycl::pow(a, b); }
+    template <typename T, typename U>
+    inline typename std::enable_if_t<std::is_floating_point_v<T>, T>
+    pow(const T a, const U b)
+    {
+        return sycl::pow(a, static_cast<T>(b));
+    }
+    template <typename T, typename U>
+    inline typename std::enable_if_t<!std::is_floating_point_v<T>, double>
+    pow(const T a, const U b)
+    {
+        return sycl::pow(static_cast<double>(a), static_cast<double>(b));
+    }
+
+    inline double min(const double a, const float b)
+    {
+        return sycl::fmin(a, static_cast<double>(b));
+    }
+    inline double min(const float a, const double b)
+    {
+        return sycl::fmin(static_cast<double>(a), b);
+    }
+    inline float min(const float a, const float b) { return sycl::fmin(a, b); }
+    inline double min(const double a, const double b) { return sycl::fmin(a, b); }
+    inline std::uint32_t min(const std::uint32_t a, const std::int32_t b)
+    {
+        return sycl::min(a, static_cast<std::uint32_t>(b));
+    }
+    inline std::uint32_t min(const std::int32_t a, const std::uint32_t b)
+    {
+        return sycl::min(static_cast<std::uint32_t>(a), b);
+    }
+    inline std::int32_t min(const std::int32_t a, const std::int32_t b)
+    {
+        return sycl::min(a, b);
+    }
+    inline std::uint32_t min(const std::uint32_t a, const std::uint32_t b)
+    {
+        return sycl::min(a, b);
+    }
+    inline std::uint64_t min(const std::uint64_t a, const std::int64_t b)
+    {
+        return sycl::min(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t min(const std::int64_t a, const std::uint64_t b)
+    {
+        return sycl::min(static_cast<std::uint64_t>(a), b);
+    }
+    inline std::int64_t min(const std::int64_t a, const std::int64_t b)
+    {
+        return sycl::min(a, b);
+    }
+    inline std::uint64_t min(const std::uint64_t a, const std::uint64_t b)
+    {
+        return sycl::min(a, b);
+    }
+    inline std::uint64_t min(const std::uint64_t a, const std::int32_t b)
+    {
+        return sycl::min(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t min(const std::int32_t a, const std::uint64_t b)
+    {
+        return sycl::min(static_cast<std::uint64_t>(a), b);
+    }
+    inline std::uint64_t min(const std::uint64_t a, const std::uint32_t b)
+    {
+        return sycl::min(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t min(const std::uint32_t a, const std::uint64_t b)
+    {
+        return sycl::min(static_cast<std::uint64_t>(a), b);
+    }
+    // max function overloads.
+    // For floating-point types, `float` or `double` arguments are acceptable.
+    // For integer types, `std::uint32_t`, `std::int32_t`, `std::uint64_t` or
+    // `std::int64_t` type arguments are acceptable.
+    inline double max(const double a, const float b)
+    {
+        return sycl::fmax(a, static_cast<double>(b));
+    }
+    inline double max(const float a, const double b)
+    {
+        return sycl::fmax(static_cast<double>(a), b);
+    }
+    inline float max(const float a, const float b) { return sycl::fmax(a, b); }
+    inline double max(const double a, const double b) { return sycl::fmax(a, b); }
+    inline std::uint32_t max(const std::uint32_t a, const std::int32_t b)
+    {
+        return sycl::max(a, static_cast<std::uint32_t>(b));
+    }
+    inline std::uint32_t max(const std::int32_t a, const std::uint32_t b)
+    {
+        return sycl::max(static_cast<std::uint32_t>(a), b);
+    }
+    inline std::int32_t max(const std::int32_t a, const std::int32_t b)
+    {
+        return sycl::max(a, b);
+    }
+    inline std::uint32_t max(const std::uint32_t a, const std::uint32_t b)
+    {
+        return sycl::max(a, b);
+    }
+    inline std::uint64_t max(const std::uint64_t a, const std::int64_t b)
+    {
+        return sycl::max(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t max(const std::int64_t a, const std::uint64_t b)
+    {
+        return sycl::max(static_cast<std::uint64_t>(a), b);
+    }
+    inline std::int64_t max(const std::int64_t a, const std::int64_t b)
+    {
+        return sycl::max(a, b);
+    }
+    inline std::uint64_t max(const std::uint64_t a, const std::uint64_t b)
+    {
+        return sycl::max(a, b);
+    }
+    inline std::uint64_t max(const std::uint64_t a, const std::int32_t b)
+    {
+        return sycl::max(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t max(const std::int32_t a, const std::uint64_t b)
+    {
+        return sycl::max(static_cast<std::uint64_t>(a), b);
+    }
+    inline std::uint64_t max(const std::uint64_t a, const std::uint32_t b)
+    {
+        return sycl::max(a, static_cast<std::uint64_t>(b));
+    }
+    inline std::uint64_t max(const std::uint32_t a, const std::uint64_t b)
+    {
+        return sycl::max(static_cast<std::uint64_t>(a), b);
+    }
+
+    inline void
+    has_capability_or_fail(const sycl::device &dev,
+                           const std::initializer_list<sycl::aspect> &props)
+    {
+        for (const auto &it : props)
+        {
+            if (dev.has(it))
+                continue;
+            switch (it)
+            {
+            case sycl::aspect::fp64:
+                throw std::runtime_error("'double' is not supported in '" +
+                                         dev.get_info<sycl::info::device::name>() +
+                                         "' device");
+                break;
+            case sycl::aspect::fp16:
+                throw std::runtime_error("'half' is not supported in '" +
+                                         dev.get_info<sycl::info::device::name>() +
+                                         "' device");
+                break;
+            default:
+#define __SYCL_ASPECT(ASPECT, ID) \
+    case sycl::aspect::ASPECT:    \
+        return #ASPECT;
+#define __SYCL_ASPECT_DEPRECATED(ASPECT, ID, MESSAGE) __SYCL_ASPECT(ASPECT, ID)
+#define __SYCL_ASPECT_DEPRECATED_ALIAS(ASPECT, ID, MESSAGE)
+                auto getAspectNameStr = [](sycl::aspect AspectNum) -> std::string
+                {
+                    switch (AspectNum)
+                    {
+#include <sycl/info/aspects.def>
+#include <sycl/info/aspects_deprecated.def>
+                    default:
+                        return "unknown aspect";
+                    }
+                };
+#undef __SYCL_ASPECT_DEPRECATED_ALIAS
+#undef __SYCL_ASPECT_DEPRECATED
+#undef __SYCL_ASPECT
+                throw std::runtime_error(
+                    "'" + getAspectNameStr(it) + "' is not supported in '" +
+                    dev.get_info<sycl::info::device::name>() + "' device");
+            }
+            break;
+        }
+    }
+
+    static inline unsigned int get_current_device_id()
+    {
+        return dev_mgr::instance().current_device_id();
+    }
+
+    static inline device_ext &get_current_device()
+    {
+        return dev_mgr::instance().current_device();
+    }
+
+    static inline sycl::queue &get_in_order_queue()
+    {
+        return dev_mgr::instance().current_device().in_order_queue();
+    }
+
+    static sycl::event
+    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr, size_t size,
+                memcpy_direction direction,
+                const std::vector<sycl::event> &dep_events = {})
+    {
+        if (!size)
+            return sycl::event{};
+        return q.memcpy(to_ptr, from_ptr, size, dep_events);
+        GGML_UNUSED(direction);
+    }
+
+    // Get actual copy range and make sure it will not exceed range.
+    static inline size_t get_copy_range(sycl::range<3> size, size_t slice,
+                                        size_t pitch)
+    {
+        return slice * (size.get(2) - 1) + pitch * (size.get(1) - 1) + size.get(0);
+    }
+
+    static inline size_t get_offset(sycl::id<3> id, size_t slice,
+                                    size_t pitch)
+    {
+        return slice * id.get(2) + pitch * id.get(1) + id.get(0);
+    }
+
+    /// copy 3D matrix specified by \p size from 3D matrix specified by \p from_ptr
+    /// and \p from_range to another specified by \p to_ptr and \p to_range.
+    static inline std::vector<sycl::event>
+    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
+                sycl::range<3> to_range, sycl::range<3> from_range,
+                sycl::id<3> to_id, sycl::id<3> from_id,
+                sycl::range<3> size, memcpy_direction direction,
+                const std::vector<sycl::event> &dep_events = {})
+    {
+        // RAII for host pointer
+        class host_buffer
+        {
+            void *_buf;
+            size_t _size;
+            sycl::queue &_q;
+            const std::vector<sycl::event> &_deps; // free operation depends
+
+        public:
+            host_buffer(size_t size, sycl::queue &q,
+                        const std::vector<sycl::event> &deps)
+                : _buf(std::malloc(size)), _size(size), _q(q), _deps(deps) {}
+            void *get_ptr() const { return _buf; }
+            size_t get_size() const { return _size; }
+            ~host_buffer()
+            {
+                if (_buf)
+                {
+                    _q.submit([&](sycl::handler &cgh)
+                              {
+            cgh.depends_on(_deps);
+            cgh.host_task([buf = _buf] { std::free(buf); }); });
+                }
+            }
+        };
+        std::vector<sycl::event> event_list;
+
+        size_t to_slice = to_range.get(1) * to_range.get(0),
+               from_slice = from_range.get(1) * from_range.get(0);
+        unsigned char *to_surface =
+            (unsigned char *)to_ptr + get_offset(to_id, to_slice, to_range.get(0));
+        const unsigned char *from_surface =
+            (const unsigned char *)from_ptr +
+            get_offset(from_id, from_slice, from_range.get(0));
+
+        if (to_slice == from_slice && to_slice == size.get(1) * size.get(0))
+        {
+            return {dpct_memcpy(q, to_surface, from_surface, to_slice * size.get(2),
+                                direction, dep_events)};
+        }
+        direction = detail::deduce_memcpy_direction(q, to_ptr, from_ptr, direction);
+        size_t size_slice = size.get(1) * size.get(0);
+        switch (direction)
+        {
+        case host_to_host:
+            for (size_t z = 0; z < size.get(2); ++z)
+            {
+                unsigned char *to_ptr = to_surface;
+                const unsigned char *from_ptr = from_surface;
+                if (to_range.get(0) == from_range.get(0) &&
+                    to_range.get(0) == size.get(0))
+                {
+                    event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size_slice,
+                                                     direction, dep_events));
+                }
+                else
+                {
+                    for (size_t y = 0; y < size.get(1); ++y)
+                    {
+                        event_list.push_back(dpct_memcpy(q, to_ptr, from_ptr, size.get(0),
+                                                         direction, dep_events));
+                        to_ptr += to_range.get(0);
+                        from_ptr += from_range.get(0);
+                    }
+                }
+                to_surface += to_slice;
+                from_surface += from_slice;
+            }
+            break;
+        case host_to_device:
+        {
+            host_buffer buf(get_copy_range(size, to_slice, to_range.get(0)), q,
+                            event_list);
+            std::vector<sycl::event> host_events;
+            if (to_slice == size_slice)
+            {
+                // Copy host data to a temp host buffer with the shape of target.
+                host_events =
+                    dpct_memcpy(q, buf.get_ptr(), from_surface, to_range, from_range,
+                                sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size,
+                                host_to_host, dep_events);
+            }
+            else
+            {
+                // Copy host data to a temp host buffer with the shape of target.
+                host_events = dpct_memcpy(
+                    q, buf.get_ptr(), from_surface, to_range, from_range,
+                    sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0), size, host_to_host,
+                    // If has padding data, not sure whether it is useless. So fill temp
+                    // buffer with it.
+                    std::vector<sycl::event>{
+                        dpct_memcpy(q, buf.get_ptr(), to_surface, buf.get_size(),
+                                    device_to_host, dep_events)});
+            }
+            // Copy from temp host buffer to device with only one submit.
+            event_list.push_back(dpct_memcpy(q, to_surface, buf.get_ptr(),
+                                             buf.get_size(), host_to_device,
+                                             host_events));
+            break;
+        }
+        case device_to_host:
+        {
+            host_buffer buf(get_copy_range(size, from_slice, from_range.get(0)), q,
+                            event_list);
+            // Copy from host temp buffer to host target with reshaping.
+            event_list = dpct_memcpy(
+                q, to_surface, buf.get_ptr(), to_range, from_range, sycl::id<3>(0, 0, 0),
+                sycl::id<3>(0, 0, 0), size, host_to_host,
+                // Copy from device to temp host buffer with only one submit.
+                std::vector<sycl::event>{dpct_memcpy(q, buf.get_ptr(), from_surface,
+                                                     buf.get_size(),
+                                                     device_to_host, dep_events)});
+            break;
+        }
+        case device_to_device:
+            event_list.push_back(q.submit([&](sycl::handler &cgh)
+                                          {
+        cgh.depends_on(dep_events);
+        cgh.parallel_for<class dpct_memcpy_3d_detail>(
+            size,
+            [=](sycl::id<3> id) {
+                to_surface[get_offset(id, to_slice, to_range.get(0))] =
+                    from_surface[get_offset(id, from_slice, from_range.get(0))];
+            }); }));
+        break;
+        default:
+            throw std::runtime_error("dpct_memcpy: invalid direction value");
+        }
+        return event_list;
+    }
+
+    /// memcpy 2D/3D matrix specified by pitched_data.
+    static inline std::vector<sycl::event>
+    dpct_memcpy(sycl::queue &q, pitched_data to, sycl::id<3> to_id,
+                pitched_data from, sycl::id<3> from_id, sycl::range<3> size,
+                memcpy_direction direction = automatic)
+    {
+        return dpct_memcpy(q, to.get_data_ptr(), from.get_data_ptr(),
+                           sycl::range<3>(to.get_pitch(), to.get_y(), 1),
+                           sycl::range<3>(from.get_pitch(), from.get_y(), 1), to_id, from_id,
+                           size, direction);
+    }
+
+    /// memcpy 2D matrix with pitch.
+    static inline std::vector<sycl::event>
+    dpct_memcpy(sycl::queue &q, void *to_ptr, const void *from_ptr,
+                size_t to_pitch, size_t from_pitch, size_t x, size_t y,
+                memcpy_direction direction = automatic)
+    {
+        return dpct_memcpy(q, to_ptr, from_ptr, sycl::range<3>(to_pitch, y, 1),
+                           sycl::range<3>(from_pitch, y, 1),
+                           sycl::id<3>(0, 0, 0), sycl::id<3>(0, 0, 0),
+                           sycl::range<3>(x, y, 1), direction);
+    }
+
+    inline void gemm(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                     oneapi::mkl::transpose b_trans, int m, int n, int k,
+                     const void *alpha, const void *a, library_data_t a_type,
+                     int lda, const void *b, library_data_t b_type, int ldb,
+                     const void *beta, void *c, library_data_t c_type, int ldc,
+                     library_data_t scaling_type)
+    {
+        if (scaling_type == library_data_t::real_float &&
+            c_type == library_data_t::complex_float)
+        {
+            scaling_type = library_data_t::complex_float;
+        }
+        else if (scaling_type == library_data_t::real_double &&
+                 c_type == library_data_t::complex_double)
+        {
+            scaling_type = library_data_t::complex_double;
+        }
+
+        std::uint64_t key =
+            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
+        switch (key)
+        {
+        case detail::get_type_combination_id(
+            library_data_t::real_float, library_data_t::real_float,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_impl<float, float, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_double, library_data_t::real_double,
+            library_data_t::real_double, library_data_t::real_double):
+        {
+            detail::gemm_impl<double, double, double, double>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_float, library_data_t::complex_float,
+            library_data_t::complex_float, library_data_t::complex_float):
+        {
+            detail::gemm_impl<std::complex<float>, std::complex<float>,
+                              std::complex<float>, std::complex<float>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_double, library_data_t::complex_double,
+            library_data_t::complex_double, library_data_t::complex_double):
+        {
+            detail::gemm_impl<std::complex<double>, std::complex<double>,
+                              std::complex<double>, std::complex<double>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_half):
+        {
+            detail::gemm_impl<sycl::half, sycl::half, sycl::half,
+                              sycl::half>(q, a_trans, b_trans, m, n, k, alpha, a,
+                                          lda, b, ldb, beta, c, ldc);
+            break;
+        }
+#ifdef __INTEL_MKL__
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
+                              float>(q, a_trans, b_trans, m, n, k, alpha, a, lda, b,
+                                     ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_impl<sycl::half, sycl::half, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_float):
+        {
+            float alpha_value =
+                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
+            float beta_value =
+                dpct::get_value(reinterpret_cast<const float *>(beta), q);
+            sycl::half alpha_half(alpha_value);
+            sycl::half beta_half(beta_value);
+            detail::gemm_impl<sycl::half, sycl::half, sycl::half,
+                              sycl::half>(q, a_trans, b_trans, m, n, k, &alpha_half,
+                                          a, lda, b, ldb, &beta_half, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_impl<std::int8_t, std::int8_t, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_bfloat16, library_data_t::real_float):
+        {
+            detail::gemm_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
+                              oneapi::mkl::bfloat16, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_int32, library_data_t::real_int32):
+        {
+            float alpha_float =
+                dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q);
+            float beta_float =
+                dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q);
+            detail::gemm_impl<std::int8_t, std::int8_t, std::int32_t, float>(
+                q, a_trans, b_trans, m, n, k, &alpha_float, a, lda, b, ldb, &beta_float, c, ldc);
+            break;
+        }
+#endif // __INTEL_MKL__
+        default:
+            throw std::runtime_error("the combination of data type is unsupported");
+        }
+    } // gemm()
+
+    /// Computes a batch of matrix-matrix product with general matrices.
+    /// \param [in] q The queue where the routine should be executed.
+    /// \param [in] a_trans Specifies the operation applied to A.
+    /// \param [in] b_trans Specifies the operation applied to B.
+    /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C.
+    /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C.
+    /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B).
+    /// \param [in] alpha Scaling factor for the matrix-matrix product.
+    /// \param [in] a Input matrix A.
+    /// \param [in] a_type Data type of the matrix A.
+    /// \param [in] lda Leading dimension of A.
+    /// \param [in] b Input matrix B.
+    /// \param [in] b_type Data type of the matrix B.
+    /// \param [in] ldb Leading dimension of B.
+    /// \param [in] beta Scaling factor for matrix C.
+    /// \param [in, out] c Input/Output matrix C.
+    /// \param [in] c_type Data type of the matrix C.
+    /// \param [in] ldc Leading dimension of C.
+    /// \param [in] batch_size Specifies the number of matrix multiply operations to perform.
+    /// \param [in] scaling_type Data type of the scaling factors.
+    inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                           oneapi::mkl::transpose b_trans, int m, int n, int k,
+                           const void *alpha, const void *a[],
+                           library_data_t a_type, int lda, const void *b[],
+                           library_data_t b_type, int ldb, const void *beta,
+                           void *c[], library_data_t c_type, int ldc,
+                           int batch_size, library_data_t scaling_type)
+    {
+        if (scaling_type == library_data_t::real_float &&
+            c_type == library_data_t::complex_float)
+        {
+            scaling_type = library_data_t::complex_float;
+        }
+        else if (scaling_type == library_data_t::real_double &&
+                 c_type == library_data_t::complex_double)
+        {
+            scaling_type = library_data_t::complex_double;
+        }
+
+        std::uint64_t key =
+            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
+        switch (key)
+        {
+        case detail::get_type_combination_id(
+            library_data_t::real_float, library_data_t::real_float,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<float, float, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_double, library_data_t::real_double,
+            library_data_t::real_double, library_data_t::real_double):
+        {
+            detail::gemm_batch_impl<double, double, double, double>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_float, library_data_t::complex_float,
+            library_data_t::complex_float, library_data_t::complex_float):
+        {
+            detail::gemm_batch_impl<std::complex<float>, std::complex<float>,
+                                    std::complex<float>, std::complex<float>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_double, library_data_t::complex_double,
+            library_data_t::complex_double, library_data_t::complex_double):
+        {
+            detail::gemm_batch_impl<std::complex<double>, std::complex<double>,
+                                    std::complex<double>, std::complex<double>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_half):
+        {
+            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half,
+                                    sycl::half>(q, a_trans, b_trans, m, n, k, alpha,
+                                                a, lda, b, ldb, beta, c, ldc,
+                                                batch_size);
+            break;
+        }
+#ifdef __INTEL_MKL__
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_bfloat16, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
+                                    oneapi::mkl::bfloat16, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
+                                    float>(q, a_trans, b_trans, m, n, k, alpha, a, lda,
+                                           b, ldb, beta, c, ldc, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_int32, library_data_t::real_int32):
+        {
+            float alpha_float =
+                dpct::get_value(reinterpret_cast<const std::int32_t *>(alpha), q);
+            float beta_float =
+                dpct::get_value(reinterpret_cast<const std::int32_t *>(beta), q);
+            detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t,
+                                    float>(q, a_trans, b_trans, m, n, k, &alpha_float,
+                                           a, lda, b, ldb, &beta_float, c, ldc,
+                                           batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<sycl::half, sycl::half, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc,
+                batch_size);
+            break;
+        }
+#endif
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_float):
+        {
+            float alpha_value =
+                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
+            float beta_value =
+                dpct::get_value(reinterpret_cast<const float *>(beta), q);
+            sycl::half alpha_half(alpha_value);
+            sycl::half beta_half(beta_value);
+            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>(
+                q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, b, ldb, &beta_half, c, ldc,
+                batch_size);
+            break;
+        }
+        default:
+            throw std::runtime_error("the combination of data type is unsupported");
+        }
+    }
+
+    /// Computes a batch of matrix-matrix product with general matrices.
+    /// \param [in] q The queue where the routine should be executed.
+    /// \param [in] a_trans Specifies the operation applied to A.
+    /// \param [in] b_trans Specifies the operation applied to B.
+    /// \param [in] m Specifies the number of rows of the matrix op(A) and of the matrix C.
+    /// \param [in] n Specifies the number of columns of the matrix op(B) and of the matrix C.
+    /// \param [in] k Specifies the number of columns of the matrix op(A) and the number of rows of the matrix op(B).
+    /// \param [in] alpha Scaling factor for the matrix-matrix product.
+    /// \param [in] a Input matrix A.
+    /// \param [in] a_type Data type of the matrix A.
+    /// \param [in] lda Leading dimension of A.
+    /// \param [in] stride_a Stride between the different A matrices.
+    /// \param [in] b Input matrix B.
+    /// \param [in] b_type Data type of the matrix B.
+    /// \param [in] ldb Leading dimension of B.
+    /// \param [in] stride_b Stride between the different B matrices.
+    /// \param [in] beta Scaling factor for matrix C.
+    /// \param [in, out] c Input/Output matrix C.
+    /// \param [in] c_type Data type of the matrix C.
+    /// \param [in] ldc Leading dimension of C.
+    /// \param [in] stride_c Stride between the different C matrices.
+    /// \param [in] batch_size Specifies the number of matrix multiply operations to perform.
+    /// \param [in] scaling_type Data type of the scaling factors.
+    inline void gemm_batch(sycl::queue &q, oneapi::mkl::transpose a_trans,
+                           oneapi::mkl::transpose b_trans, int m, int n, int k,
+                           const void *alpha, const void *a, library_data_t a_type,
+                           int lda, long long int stride_a, const void *b,
+                           library_data_t b_type, int ldb, long long int stride_b,
+                           const void *beta, void *c, library_data_t c_type,
+                           int ldc, long long int stride_c, int batch_size,
+                           library_data_t scaling_type)
+    {
+        if (scaling_type == library_data_t::real_float &&
+            c_type == library_data_t::complex_float)
+        {
+            scaling_type = library_data_t::complex_float;
+        }
+        else if (scaling_type == library_data_t::real_double &&
+                 c_type == library_data_t::complex_double)
+        {
+            scaling_type = library_data_t::complex_double;
+        }
+
+        std::uint64_t key =
+            detail::get_type_combination_id(a_type, b_type, c_type, scaling_type);
+        switch (key)
+        {
+        case detail::get_type_combination_id(
+            library_data_t::real_float, library_data_t::real_float,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<float, float, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_double, library_data_t::real_double,
+            library_data_t::real_double, library_data_t::real_double):
+        {
+            detail::gemm_batch_impl<double, double, double, double>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_float, library_data_t::complex_float,
+            library_data_t::complex_float, library_data_t::complex_float):
+        {
+            detail::gemm_batch_impl<std::complex<float>, std::complex<float>,
+                                    std::complex<float>, std::complex<float>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::complex_double, library_data_t::complex_double,
+            library_data_t::complex_double, library_data_t::complex_double):
+        {
+            detail::gemm_batch_impl<std::complex<double>, std::complex<double>,
+                                    std::complex<double>, std::complex<double>>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_half):
+        {
+            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half,
+                                    sycl::half>(q, a_trans, b_trans, m, n, k, alpha,
+                                                a, lda, stride_a, b, ldb, stride_b,
+                                                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+#ifdef __INTEL_MKL__
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_bfloat16, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16,
+                                    oneapi::mkl::bfloat16, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_bfloat16, library_data_t::real_bfloat16,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<oneapi::mkl::bfloat16, oneapi::mkl::bfloat16, float,
+                                    float>(q, a_trans, b_trans, m, n, k, alpha, a, lda,
+                                           stride_a, b, ldb, stride_b, beta, c, ldc,
+                                           stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_int32, library_data_t::real_int32):
+        {
+            detail::gemm_batch_impl<std::int8_t, std::int8_t, std::int32_t,
+                                    std::int32_t>(q, a_trans, b_trans, m, n, k, alpha,
+                                                  a, lda, stride_a, b, ldb, stride_b,
+                                                  beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_int8, library_data_t::real_int8,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<std::int8_t, std::int8_t, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_float, library_data_t::real_float):
+        {
+            detail::gemm_batch_impl<sycl::half, sycl::half, float, float>(
+                q, a_trans, b_trans, m, n, k, alpha, a, lda, stride_a, b, ldb, stride_b,
+                beta, c, ldc, stride_c, batch_size);
+            break;
+        }
+#endif
+        case detail::get_type_combination_id(
+            library_data_t::real_half, library_data_t::real_half,
+            library_data_t::real_half, library_data_t::real_float):
+        {
+            float alpha_value =
+                dpct::get_value(reinterpret_cast<const float *>(alpha), q);
+            float beta_value =
+                dpct::get_value(reinterpret_cast<const float *>(beta), q);
+            sycl::half alpha_half(alpha_value);
+            sycl::half beta_half(beta_value);
+            detail::gemm_batch_impl<sycl::half, sycl::half, sycl::half, sycl::half>(
+                q, a_trans, b_trans, m, n, k, &alpha_half, a, lda, stride_a, b, ldb, stride_b,
+                &beta_half, c, ldc, stride_c, batch_size);
+            break;
+        }
+        default:
+            throw std::runtime_error("the combination of data type is unsupported");
+        }
+    }
+
+    static inline void
+    async_dpct_memcpy(void *to_ptr, size_t to_pitch, const void *from_ptr,
+                      size_t from_pitch, size_t x, size_t y,
+                      memcpy_direction direction = automatic,
+                      sycl::queue &q = get_default_queue())
+    {
+        detail::dpct_memcpy(q, to_ptr, from_ptr, to_pitch, from_pitch, x, y,
+                            direction);
+    }
+
+    using err0 = detail::generic_error_type<struct err0_tag, int>;
+    using err1 = detail::generic_error_type<struct err1_tag, int>;
+
+    static inline void dpct_free(void *ptr, sycl::queue &q = get_default_queue()) {
+        detail::dpct_free(ptr, q);
+    }
+
+    /// dpct accessor used as device function parameter.
+    template <class T, memory_region Memory, size_t Dimension> class accessor;
+    template <class T, memory_region Memory> class accessor<T, Memory, 3> {
+    public:
+        using memory_t = detail::memory_traits<Memory, T>;
+        using element_t = typename memory_t::element_t;
+        using pointer_t = typename memory_t::pointer_t;
+        using accessor_t = typename memory_t::template accessor_t<3>;
+        accessor(pointer_t data, const sycl::range<3> &in_range)
+            : _data(data), _range(in_range) {}
+        template <memory_region M = Memory>
+        accessor(typename std::enable_if<M != local, const accessor_t>::type &acc)
+            : accessor(acc, acc.get_range()) {}
+        accessor(const accessor_t &acc, const sycl::range<3> &in_range)
+            : accessor(acc.get_pointer(), in_range) {}
+        accessor<T, Memory, 2> operator[](size_t index) const {
+            sycl::range<2> sub(_range.get(1), _range.get(2));
+            return accessor<T, Memory, 2>(_data + index * sub.size(), sub);
+        }
+
+        pointer_t get_ptr() const { return _data; }
+
+    private:
+        pointer_t _data;
+        sycl::range<3> _range;
+    };
+    template <class T, memory_region Memory> class accessor<T, Memory, 2> {
+    public:
+        using memory_t = detail::memory_traits<Memory, T>;
+        using element_t = typename memory_t::element_t;
+        using pointer_t = typename memory_t::pointer_t;
+        using accessor_t = typename memory_t::template accessor_t<2>;
+        accessor(pointer_t data, const sycl::range<2> &in_range)
+            : _data(data), _range(in_range) {}
+        template <memory_region M = Memory>
+        accessor(typename std::enable_if<M != local, const accessor_t>::type &acc)
+            : accessor(acc, acc.get_range()) {}
+        accessor(const accessor_t &acc, const sycl::range<2> &in_range)
+            : accessor(acc.get_pointer(), in_range) {}
+
+        pointer_t operator[](size_t index) const {
+            return _data + _range.get(1) * index;
+        }
+
+        pointer_t get_ptr() const { return _data; }
+
+    private:
+        pointer_t _data;
+        sycl::range<2> _range;
+    };
+
+    namespace detail {
+        /// Device variable with address space of shared, global or constant.
+        template <class T, memory_region Memory, size_t Dimension> class device_memory {
+        public:
+            using accessor_t =
+                typename detail::memory_traits<Memory,
+                                            T>::template accessor_t<Dimension>;
+            using value_t = typename detail::memory_traits<Memory, T>::value_t;
+            using dpct_accessor_t = dpct::accessor<T, Memory, Dimension>;
+
+            device_memory() : device_memory(sycl::range<Dimension>(1)) {}
+
+            /// Constructor of 1-D array with initializer list
+            device_memory(const sycl::range<Dimension> &in_range,
+                        std::initializer_list<value_t> &&init_list)
+                : device_memory(in_range) {
+                assert(init_list.size() <= in_range.size());
+                _host_ptr = (value_t *)std::malloc(_size);
+                std::memset(_host_ptr, 0, _size);
+                std::memcpy(_host_ptr, init_list.begin(), init_list.size() * sizeof(T));
+            }
+
+            /// Constructor of 2-D array with initializer list
+            template <size_t D = Dimension>
+            device_memory(
+                const typename std::enable_if<D == 2, sycl::range<2>>::type &in_range,
+                std::initializer_list<std::initializer_list<value_t>> &&init_list)
+                : device_memory(in_range) {
+                assert(init_list.size() <= in_range[0]);
+                _host_ptr = (value_t *)std::malloc(_size);
+                std::memset(_host_ptr, 0, _size);
+                auto tmp_data = _host_ptr;
+                for (auto sub_list : init_list) {
+                    assert(sub_list.size() <= in_range[1]);
+                    std::memcpy(tmp_data, sub_list.begin(),
+                                sub_list.size() * sizeof(T));
+                    tmp_data += in_range[1];
+                }
+            }
+
+            /// Constructor with range
+            device_memory(const sycl::range<Dimension> &range_in)
+                : _size(range_in.size() * sizeof(T)), _range(range_in),
+                _reference(false), _host_ptr(nullptr), _device_ptr(nullptr) {
+                static_assert(
+                    (Memory == global) || (Memory == constant) || (Memory == shared),
+                    "device memory region should be global, constant or shared");
+                // Make sure that singleton class mem_mgr and dev_mgr will destruct
+                // later than this.
+                detail::mem_mgr::instance();
+                dev_mgr::instance();
+            }
+
+            /// Constructor with range
+            template <class... Args>
+            device_memory(Args... Arguments)
+                : device_memory(sycl::range<Dimension>(Arguments...)) {}
+
+            ~device_memory() {
+                if (_device_ptr && !_reference)
+                    dpct::dpct_free(_device_ptr);
+                if (_host_ptr)
+                    std::free(_host_ptr);
+            }
+
+            /// Allocate memory with default queue, and init memory if has initial
+            /// value.
+            void init() { init(dpct::get_default_queue()); }
+            /// Allocate memory with specified queue, and init memory if has initial
+            /// value.
+            void init(sycl::queue &q) {
+                if (_device_ptr)
+                    return;
+                if (!_size)
+                    return;
+                allocate_device(q);
+                if (_host_ptr)
+                    detail::dpct_memcpy(q, _device_ptr, _host_ptr, _size,
+                                        host_to_device);
+            }
+
+            /// The variable is assigned to a device pointer.
+            void assign(value_t *src, size_t size) {
+                this->~device_memory();
+                new (this) device_memory(src, size);
+            }
+
+            /// Get memory pointer of the memory object, which is virtual pointer when
+            /// usm is not used, and device pointer when usm is used.
+            value_t *get_ptr() { return get_ptr(get_default_queue()); }
+            /// Get memory pointer of the memory object, which is virtual pointer when
+            /// usm is not used, and device pointer when usm is used.
+            value_t *get_ptr(sycl::queue &q) {
+                init(q);
+                return _device_ptr;
+            }
+
+            /// Get the device memory object size in bytes.
+            size_t get_size() { return _size; }
+
+            template <size_t D = Dimension>
+            typename std::enable_if<D == 1, T>::type &operator[](size_t index) {
+                init();
+                return _device_ptr[index];
+            }
+
+            /// Get dpct::accessor with dimension info for the device memory object
+            /// when usm is used and dimension is greater than 1.
+            template <size_t D = Dimension>
+            typename std::enable_if<D != 1, dpct_accessor_t>::type
+            get_access([[maybe_unused]] sycl::handler &cgh) {
+                return dpct_accessor_t((T *)_device_ptr, _range);
+            }
+
+        private:
+            device_memory(value_t *memory_ptr, size_t size)
+                : _size(size), _range(size / sizeof(T)), _reference(true),
+                _device_ptr(memory_ptr) {}
+
+            void allocate_device(sycl::queue &q) {
+        #ifndef DPCT_USM_LEVEL_NONE
+                if (Memory == shared) {
+                    _device_ptr = (value_t *)sycl::malloc_shared(_size, q.get_device(),
+                                                                q.get_context());
+                    return;
+                }
+        #ifdef SYCL_EXT_ONEAPI_USM_DEVICE_READ_ONLY
+                if (Memory == constant) {
+                    _device_ptr = (value_t *)sycl::malloc_device(
+                        _size, q.get_device(), q.get_context(),
+                        sycl::ext::oneapi::property::usm::device_read_only());
+                    return;
+                }
+        #endif
+        #endif
+                _device_ptr = (value_t *)detail::dpct_malloc(_size, q);
+            }
+
+            size_t _size;
+            sycl::range<Dimension> _range;
+            bool _reference;
+            value_t *_host_ptr;
+            value_t *_device_ptr;
+        };
+        template <class T, memory_region Memory>
+        class device_memory<T, Memory, 0> : public device_memory<T, Memory, 1> {
+        public:
+            using base = device_memory<T, Memory, 1>;
+            using value_t = typename base::value_t;
+            using accessor_t =
+                typename detail::memory_traits<Memory, T>::template accessor_t<0>;
+
+            /// Constructor with initial value.
+            device_memory(const value_t &val) : base(sycl::range<1>(1), {val}) {}
+
+            /// Default constructor
+            device_memory() : base(1) {}
+        };
+        } // namespace detail
+
+    template <class T, size_t Dimension>
+    using global_memory = detail::device_memory<T, global, Dimension>;
+    template <class T, size_t Dimension>
+    using constant_memory = detail::device_memory<T, constant, Dimension>;
+    template <class T, size_t Dimension>
+    using shared_memory = detail::device_memory<T, shared, Dimension>;
+
+
+    template <typename T,
+            sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
+            sycl::memory_scope memoryScope = sycl::memory_scope::device>
+    inline T atomic_fetch_add(T *addr, T operand) {
+    auto atm =
+        sycl::atomic_ref<T, memoryOrder, memoryScope, addressSpace>(addr[0]);
+    return atm.fetch_add(operand);
+    }
+
+    template <sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            sycl::memory_order memoryOrder = sycl::memory_order::relaxed,
+            sycl::memory_scope memoryScope = sycl::memory_scope::device,
+            typename T1, typename T2>
+    inline T1 atomic_fetch_add(T1 *addr, T2 operand) {
+    auto atm =
+        sycl::atomic_ref<T1, memoryOrder, memoryScope, addressSpace>(addr[0]);
+    return atm.fetch_add(operand);
+    }
+
+    template <typename T, sycl::access::address_space addressSpace =
+                            sycl::access::address_space::global_space>
+    inline T atomic_fetch_add(T *addr, T operand,
+                            sycl::memory_order memoryOrder) {
+    switch (memoryOrder) {
+        case sycl::memory_order::relaxed:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::relaxed,
+                                    sycl::memory_scope::device>(addr, operand);
+        case sycl::memory_order::acq_rel:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::acq_rel,
+                                    sycl::memory_scope::device>(addr, operand);
+        case sycl::memory_order::seq_cst:
+            return atomic_fetch_add<T, addressSpace, sycl::memory_order::seq_cst,
+                                    sycl::memory_scope::device>(addr, operand);
+        default:
+            assert(false && "Invalid memory_order for atomics. Valid memory_order for "
+                            "atomics are: sycl::memory_order::relaxed, "
+                            "sycl::memory_order::acq_rel, sycl::memory_order::seq_cst!");
+        }
+    }
+
+    template <sycl::access::address_space addressSpace =
+                sycl::access::address_space::global_space,
+            typename T1, typename T2>
+    inline T1 atomic_fetch_add(T1 *addr, T2 operand,
+                            sycl::memory_order memoryOrder) {
+    atomic_fetch_add<T1, addressSpace>(addr, operand, memoryOrder);
+    }
+
+} // COPY from DPCT head files
+
+#endif // GGML_SYCL_DPCT_HELPER_HPP
diff --git a/ggml-sycl/presets.hpp b/ggml-sycl/presets.hpp
new file mode 100644
index 000000000..dcf026110
--- /dev/null
+++ b/ggml-sycl/presets.hpp
@@ -0,0 +1,69 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_PRESETS_HPP
+#define GGML_SYCL_PRESETS_HPP
+
+#define GGML_SYCL_MAX_STREAMS       8
+#define GGML_SYCL_MAX_BUFFERS       256
+#define GGML_SYCL_MAX_DEVICES       48
+#define GGML_SYCL_NAME "SYCL"
+
+// FIXME: 1024 from cuda
+#define GROUP_SIZE 1024
+#define WARP_SIZE 32
+#define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses
+
+#define SYCL_GELU_BLOCK_SIZE 256
+#define SYCL_SILU_BLOCK_SIZE 256
+#define SYCL_TANH_BLOCK_SIZE 256
+#define SYCL_RELU_BLOCK_SIZE 256
+#define SYCL_HARDSIGMOID_BLOCK_SIZE 256
+#define SYCL_HARDSWISH_BLOCK_SIZE 256
+#define SYCL_SQR_BLOCK_SIZE 256
+#define SYCL_CPY_BLOCK_SIZE 32
+#define SYCL_SCALE_BLOCK_SIZE 256
+#define SYCL_CLAMP_BLOCK_SIZE 256
+#define SYCL_ROPE_BLOCK_SIZE 256
+#define SYCL_ALIBI_BLOCK_SIZE 32
+#define SYCL_DIAG_MASK_INF_BLOCK_SIZE 32
+#define SYCL_QUANTIZE_BLOCK_SIZE 256
+#define SYCL_DEQUANTIZE_BLOCK_SIZE 256
+#define SYCL_GET_ROWS_BLOCK_SIZE 256
+#define SYCL_UPSCALE_BLOCK_SIZE 256
+#define SYCL_CONCAT_BLOCK_SIZE 256
+#define SYCL_PAD_BLOCK_SIZE 256
+#define SYCL_ACC_BLOCK_SIZE 256
+#define SYCL_IM2COL_BLOCK_SIZE 256
+#define SYCL_POOL2D_BLOCK_SIZE 256
+
+// dmmv = dequantize_mul_mat_vec
+#ifndef GGML_SYCL_DMMV_X
+#define GGML_SYCL_DMMV_X 32
+#endif
+#ifndef GGML_SYCL_MMV_Y
+#define GGML_SYCL_MMV_Y 1
+#endif
+
+#ifndef K_QUANTS_PER_ITERATION
+#define K_QUANTS_PER_ITERATION 2
+#else
+static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUANTS_PER_ITERATION must be 1 or 2");
+#endif
+
+#ifndef GGML_SYCL_PEER_MAX_BATCH_SIZE
+#define GGML_SYCL_PEER_MAX_BATCH_SIZE 128
+#endif // GGML_SYCL_PEER_MAX_BATCH_SIZE
+
+#define MUL_MAT_SRC1_COL_STRIDE 128
+
+#endif // GGML_SYCL_PRESETS_HPP
diff --git a/llama.cpp b/llama.cpp
index 05591aa43..3bf9b6685 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -6625,16 +6625,6 @@ static int llama_model_load(const std::string & fname, llama_model & model, llam
         }
 #endif
 
-#ifdef GGML_USE_SYCL
-        if (params.split_mode == LLAMA_SPLIT_MODE_NONE) {
-            ggml_backend_sycl_set_single_device_mode(params.main_gpu);
-            //SYCL use device index (0, 1, 2) directly, uer input device id, then convert to device index.
-            params.main_gpu = ggml_backend_sycl_get_device_index(params.main_gpu);
-        } else {
-            ggml_backend_sycl_set_mul_device_mode();
-        }
-#endif
-
         if (!llm_load_tensors(
             ml, model, params.n_gpu_layers, params.split_mode,  params.main_gpu, params.tensor_split, params.use_mlock,
             params.progress_callback, params.progress_callback_user_data
@@ -16241,8 +16231,7 @@ struct llama_context * llama_new_context_with_model(
         if (model->split_mode == LLAMA_SPLIT_MODE_NONE || model->split_mode == LLAMA_SPLIT_MODE_ROW) {
             ggml_backend_t backend = ggml_backend_sycl_init(model->main_gpu);
             if (backend == nullptr) {
-                int main_gpu_id = ggml_backend_sycl_get_device_id(model->main_gpu);
-                LLAMA_LOG_ERROR("%s: failed to initialize SYCL%d (index %d) backend\n", __func__, main_gpu_id, model->main_gpu);
+                LLAMA_LOG_ERROR("%s: failed to initialize SYCL%d backend\n", __func__, model->main_gpu);
                 llama_free(ctx);
                 return nullptr;
             }

From 0c7b3595b9e5ad2355818e259f06b0dc3f0065b3 Mon Sep 17 00:00:00 2001
From: Xuan Son Nguyen <thichthat@gmail.com>
Date: Sat, 15 Jun 2024 18:53:40 +0200
Subject: [PATCH 075/131] Add `cvector-generator` example (#7514)

* add control-vector-generator

* calc diff

* add comments

* proof-of-concept stdlib implementation

Implements PCA and file writing using mostly standard libraries. The output is recognized as a functional control vector, but outputs gibberish.

* param parsing, refactor, comments

Added basic command-line parameters for outfile and one each positive/negative prompt.

Refactored some messy code in PCA computation and GGUF exporting.

Left a bunch of comments regarding further work needed.

* example template completions

Implements an example template set built from the positive/negative prompts like the control vector Python implementation.

* add multi prompts, multi-thread for PCA

* fix mem error

* add debugs

* fix matrix transpose multiplication

you have got to be kidding me

* preliminary template/multiprompt support

model is running out of context and that ought to be fixed (segfaulting) but other than that it looks goodish

* fix zero output & param parsing, functional templating

fixed a bug where the output file had no tensor data/was all zero

fixed a bug where single hyphen flags were not being correctly parsed

implements creation of templated prompts from input (still need to adapt based on model)

* fix square_diff matmul index range and CRLF->LF line endings

fixed a logic error where square_diff would not multiply all rows

fixed a formatting error where the provided completions.txt had CRLF line endings

* add command-line args for num threads, num completions file lines, always reload model

refactored a few things and did what the commit message says on the tin

* code aestheticization

* fix compiler warnings

* in-series multithreading for prompt embedding?

added commented-out code to attempt to start implementing mutlithreading for embedding in main

* remove unnecessary multithreading

* interim fix memory leak

* translated everything but PCA (I think)

* tentatively translate the rest

* fix ggml errors and make new ones

at least it compiles and runs

* fix cb_eval

* temporary commit while I move dev environments

it finally outputs a functioning control vector - "functioning" in the sense that it can be loaded and it clearly has the right idea, but makes the model incoherent

* update debug statements

* pre-tokenize so we can allocate correct memory to ctx_diffs_wrapped

* update comments

* (wip) refactor

* clean up PCA ggml implementation

* fix shape of v_diff_original

* add n_batch for pca

* working version

* remember to copy back the last_eigenvector

* fix n_completions

* bring back n_completions

* default n_pca_batch to 20

* fix macos build

* add to makefile all targets

* use ggml_format_name

* add readme

* fix .editorconfig

* use ggml_backend_tensor_copy

* attemp to fix compile problem on mac

* fix compile warn

* reuse allocr

* move param parser to common

* better error handling

* clean up a bit

* add print_usage

* shorten help msg

* beautify help msg

* escape prompt by default

* change compile target to llama-cvector-generator

* typo

* disable GPU for PCA

* code style

---------

Co-authored-by: Christian Zhou-Zheng <christianzhouzheng@gmail.com>
---
 .editorconfig                                 |   3 +
 Makefile                                      |   5 +
 common/common.cpp                             |  60 ++
 common/common.h                               |   9 +
 examples/CMakeLists.txt                       |   1 +
 examples/cvector-generator/CMakeLists.txt     |   5 +
 examples/cvector-generator/README.md          |  34 +
 examples/cvector-generator/completions.txt    | 582 ++++++++++++++++++
 .../cvector-generator/cvector-generator.cpp   | 499 +++++++++++++++
 examples/cvector-generator/negative.txt       |   1 +
 examples/cvector-generator/pca.hpp            | 322 ++++++++++
 examples/cvector-generator/positive.txt       |   1 +
 12 files changed, 1522 insertions(+)
 create mode 100644 examples/cvector-generator/CMakeLists.txt
 create mode 100644 examples/cvector-generator/README.md
 create mode 100644 examples/cvector-generator/completions.txt
 create mode 100644 examples/cvector-generator/cvector-generator.cpp
 create mode 100644 examples/cvector-generator/negative.txt
 create mode 100644 examples/cvector-generator/pca.hpp
 create mode 100644 examples/cvector-generator/positive.txt

diff --git a/.editorconfig b/.editorconfig
index 16d16b3b5..bd525e13f 100644
--- a/.editorconfig
+++ b/.editorconfig
@@ -26,3 +26,6 @@ indent_size = 2
 
 [examples/llama.swiftui/llama.swiftui.xcodeproj/*]
 indent_style = tab
+
+[examples/cvector-generator/*.txt]
+insert_final_newline = unset
diff --git a/Makefile b/Makefile
index 744fe5739..5ab3481fb 100644
--- a/Makefile
+++ b/Makefile
@@ -38,6 +38,7 @@ BUILD_TARGETS = \
 	llama-tokenize \
 	llama-train-text-from-scratch \
 	llama-vdot \
+	llama-cvector-generator \
 	tests/test-c.o
 
 # Binaries only useful for tests
@@ -922,6 +923,10 @@ llama-eval-callback: examples/eval-callback/eval-callback.cpp ggml.o llama.o $(C
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
+llama-cvector-generator: examples/cvector-generator/cvector-generator.cpp ggml.o llama.o $(COMMON_DEPS) $(OBJS)
+	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
+	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
+
 llama-train-text-from-scratch: examples/train-text-from-scratch/train-text-from-scratch.cpp ggml.o llama.o $(COMMON_DEPS) train.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
diff --git a/common/common.cpp b/common/common.cpp
index 1591790e6..73ff0e85b 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1576,6 +1576,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             return true;
         }
         params.out_file = argv[i];
+        params.cvector_outfile = argv[i];
         return true;
     }
     if (arg == "-ofreq" || arg == "--output-frequency") {
@@ -1610,6 +1611,55 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.i_chunk = std::stoi(argv[i]);
         return true;
     }
+    // cvector params
+    if (arg == "--completions-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.cvector_completions_file = argv[i];
+        return true;
+    }
+    if (arg == "--positive-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.cvector_positive_file = argv[i];
+        return true;
+    }
+    if (arg == "--negative-file") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.cvector_negative_file = argv[i];
+        return true;
+    }
+    if (arg == "--completions") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_completions = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--pca-batch") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_pca_batch = std::stoi(argv[i]);
+        return true;
+    }
+    if (arg == "--pca-iter") {
+        if (++i >= argc) {
+            invalid_param = true;
+            return true;
+        }
+        params.n_pca_iterations = std::stoi(argv[i]);
+        return true;
+    }
 #ifndef LOG_DISABLE_LOGS
     // Parse args for logging parameters
     if (log_param_single_parse(argv[i])) {
@@ -1931,6 +1981,16 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "logging",     "       --log-append",           "Don't truncate the old log file." });
 #endif // LOG_DISABLE_LOGS
 
+    options.push_back({ "cvector" });
+    options.push_back({ "cvector",     "-o,    --output FNAME",         "output file (default: '%s')", params.cvector_outfile.c_str() });
+    options.push_back({ "cvector",     "       --positive-file FNAME",  "positive prompts file, one prompt per line (default: '%s')", params.cvector_positive_file.c_str() });
+    options.push_back({ "cvector",     "       --negative-file FNAME",  "negative prompts file, one prompt per line (default: '%s')", params.cvector_negative_file.c_str() });
+    options.push_back({ "cvector",     "       --completions-file FNAME",
+                                                                        "completions file (default: '%s')", params.cvector_completions_file.c_str() });
+    options.push_back({ "cvector",     "       --completions N",        "number of lines of completions file to use (default: %d)", params.n_completions });
+    options.push_back({ "cvector",     "       --batch-pca N",          "batch size used for PCA. Larger batch runs faster, but uses more memory (default: %d)", params.n_pca_batch });
+    options.push_back({ "cvector",     "       --iter-pca N",           "number of iterations used for PCA (default: %d)", params.n_pca_iterations });
+
     printf("usage: %s [options]\n", argv[0]);
 
     for (const auto & o : options) {
diff --git a/common/common.h b/common/common.h
index 2345d855e..58ed72f43 100644
--- a/common/common.h
+++ b/common/common.h
@@ -232,6 +232,15 @@ struct gpt_params {
 
     bool process_output = false; // collect data for the output tensor
     bool compute_ppl    = true;  // whether to compute perplexity
+
+    // cvector-generator params
+    int n_completions = 64;
+    int n_pca_batch = 20;
+    int n_pca_iterations = 1000;
+    std::string cvector_outfile          = "control_vector.gguf";
+    std::string cvector_completions_file = "examples/cvector-generator/completions.txt";
+    std::string cvector_positive_file    = "examples/cvector-generator/positive.txt";
+    std::string cvector_negative_file    = "examples/cvector-generator/negative.txt";
 };
 
 void gpt_params_handle_model_default(gpt_params & params);
diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt
index d6ce35f4c..0b51c44c0 100644
--- a/examples/CMakeLists.txt
+++ b/examples/CMakeLists.txt
@@ -12,6 +12,7 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR})
 
 if (EMSCRIPTEN)
 else()
+    add_subdirectory(cvector-generator)
     add_subdirectory(baby-llama)
     add_subdirectory(batched-bench)
     add_subdirectory(batched)
diff --git a/examples/cvector-generator/CMakeLists.txt b/examples/cvector-generator/CMakeLists.txt
new file mode 100644
index 000000000..0a559d60c
--- /dev/null
+++ b/examples/cvector-generator/CMakeLists.txt
@@ -0,0 +1,5 @@
+set(TARGET llama-cvector-generator)
+add_executable(${TARGET} cvector-generator.cpp pca.hpp)
+install(TARGETS ${TARGET} RUNTIME)
+target_link_libraries(${TARGET} PRIVATE common llama ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_11)
diff --git a/examples/cvector-generator/README.md b/examples/cvector-generator/README.md
new file mode 100644
index 000000000..7b0e79c1f
--- /dev/null
+++ b/examples/cvector-generator/README.md
@@ -0,0 +1,34 @@
+# cvector-generator
+
+This example demonstrates how to generate a control vector using gguf models.
+
+Related PRs:
+- [Add support for control vectors](https://github.com/ggerganov/llama.cpp/pull/5970)
+- (Issue) [Generate control vector using llama.cpp](https://github.com/ggerganov/llama.cpp/issues/6880)
+- [Add cvector-generator example](https://github.com/ggerganov/llama.cpp/pull/7514)
+
+## Examples
+
+```sh
+# CPU only
+./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf
+
+# With GPU
+./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99
+
+# With advanced options
+./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100
+
+# To see help message
+./cvector-generator -h
+# Then, have a look at "cvector" section
+```
+
+## Tips and tricks
+
+If you have multiple lines per prompt, you can escape the newline character (change it to `\n`). For example:
+
+```
+<|im_start|>system\nAct like a person who is extremely happy.<|im_end|>
+<|im_start|>system\nYou are in a very good mood today<|im_end|>
+```
diff --git a/examples/cvector-generator/completions.txt b/examples/cvector-generator/completions.txt
new file mode 100644
index 000000000..abc45ffd8
--- /dev/null
+++ b/examples/cvector-generator/completions.txt
@@ -0,0 +1,582 @@
+
+That game
+I can see
+Hmm, this
+I can relate to
+Who is
+I understand the
+Ugh,
+What the hell was
+Hey, did anyone
+Although
+Thank you for choosing
+What are you
+Oh w
+How dare you open
+It was my pleasure
+I'm hon
+I appreciate that you
+Are you k
+Whoever left this
+It's always
+Ew,
+Hey, I l
+Hello? Is someone
+I understand that
+That poem
+Aww, poor
+Hey, it
+Alright, who
+I didn't
+Well, life
+The document
+Oh no, this
+I'm concerned
+Hello, this is
+This art
+Hmm, this drink
+Hi there!
+It seems
+Is
+Good
+I can't
+Ex
+Who are
+I can see that
+Wow,
+Today is a
+Hey friend
+Sometimes friends
+Oh, this old
+The weather outside
+This place is sur
+I appreciate your input
+Thank you for the
+Look at
+I'm disappoint
+To my
+How dare you
+That's an
+This piece of art
+Eww
+This park is
+This is incredible
+Oh no, someone
+Exc
+Well, it'
+I warned
+Hey, I understand
+Hey, I saw
+How dare you go
+What the he
+Hey
+It's
+Hello? Hello?
+It
+Oh no!
+This is the perfect
+Good morning,
+Oh no, there
+It's so
+Yeah
+Uh,
+Hello everyone
+Who turned off
+The weather
+Who'
+Hey, this
+Wait,
+Eww, gross
+Excuse
+It seems like you
+Thank you so
+What happened?
+Oh my g
+I am deeply sad
+I war
+Okay, let'
+Hey, that
+That was a beautiful
+Oh no! That
+What happened
+Hey there
+The artist'
+What?!
+Hey, it'
+I am disappoint
+It seems like
+Oh no! The
+This park is a
+If you
+Yes! I did
+It sounds
+What
+Who is it
+Hmm, that
+That's strange
+Yeah, that was
+That's interesting
+This park
+What the hell
+Who is that
+I feel like my
+Oh well
+What the hell is
+Hello? Hello
+To my dearest
+Bless you!\"
+Thank you for
+Oh, looks like
+Can you please
+This place is
+Eww, what
+Bless you
+Is everything
+Hey, I just
+Whoever left these
+Well, that'
+I feel
+Hey, do you
+It's sad
+Oh no, it
+Hey, that'
+Oh my god,
+Thank you,
+Hello little one,
+I apolog
+Hey team, I
+How dare you read
+Who is this and
+Whoever left
+Hi there! W
+A
+If you have
+I was
+U
+Bless
+Well, this
+Oh, I'
+It's a
+Eww,
+Is everything okay?
+Oh, I
+Hello, can you
+Al
+That was a great
+What are
+I understand that not
+Oh no, not
+Who is it?\"
+Hey, can we
+Whoever is taking
+I would love to
+Hey, I noticed
+Hey, could
+I understand that there
+Hello?
+D
+Oh man, I
+Thank you so much
+Oh no, my
+Dear [Name
+Uh
+I remember
+Hey, who
+Well, it
+Are you
+I understand that it
+Hey, is
+I would
+Who is this
+Excuse me
+Alright
+I am thrilled
+Sometimes friends have
+Who the
+It's interesting
+I would love
+E
+Hello? Is anyone
+Well, this is
+This place
+Well,
+I warned you
+Hey, watch where
+Oh my
+That'
+Sometimes friends have different
+I understand that everyone
+What?
+What do these notes
+I can relate
+I'm not
+I understand
+To my dear
+Guys
+Well
+Hey, I appreciate
+Wow, what
+Dear
+That melody
+Who the hell
+Today is
+Hello little
+Wow, look
+That's great
+Love is never wrong
+I'm having
+Whoa, did
+Ugh
+Can you please provide
+I miss you,
+I feel uncom
+I know
+Ugh, this
+Hey, watch
+Oh great, a
+I didn
+Okay
+That game of char
+Oh
+I appreciate
+Who's there
+I am so
+Oh great, someone
+Hey, could you
+I remember wondering
+Wait, what?
+What do
+Hello? Can
+Hey there,
+That game of
+This is incred
+Oh my gosh
+Oh great, f
+I appreciate your
+It sounds like
+What the heck
+Okay, I understand
+Ew
+I understand that this
+Uh, hi
+Hi everyone!
+What the hell?
+Thank you for your
+Oh no, the
+Wow, I
+Who turned
+Dear [
+Whoever
+This is a
+Whoa, he
+What in the world
+Although the physical
+Hello, who is
+That's amaz
+Hey, I know
+Okay, that
+Hi everyone
+Hey, is everything
+I understand your fr
+Oh no, poor
+Oh, look
+Good morning
+Ew, gross
+Oh no, did
+Look at the family
+Hey team
+Yes!
+Hey, can I
+Okay, that'
+It's great
+Love is
+Hey, what
+Good morning, world
+Who is it?
+That poem really reson
+I
+That's
+I understand the task
+Gu
+Hello? Who'
+This postcard is
+Whoa,
+Oh, that
+I understand that I
+Whoever is
+Hello? Who is
+I'm really
+Wow, this
+Can
+This artwork really
+This is a shame
+I miss you too
+Who are you?
+Today is a difficult
+Hey, just
+Are you okay
+I am
+Hi,
+Wow, that
+Hey there! Can
+Okay, stay
+Oh great, just
+Yeah,
+Hello? Can you
+Oh, looks
+Thank you for sharing
+I'm glad
+Hey, is that
+Hmm
+It was my
+It sounds like you
+Wow, your
+I was promised certain
+That was such a
+Thank
+Excuse you
+That was
+Hey team,
+I feel un
+It was
+What'
+Hey friend, I
+How
+Saying goodbye
+That
+It's heart
+How dare
+Oh,
+Hello, may
+What's this
+Thank you for recogn
+Aww, that
+Oh, I remember
+Hmm, that'
+I miss
+I know this
+Wait
+Is everything okay
+Who is that person
+Wow, you
+Oh great
+I'm sad
+Wow, the
+I am very disappoint
+Who turned off the
+I understand that things
+I'm very
+Hi
+That's very
+Okay, I
+Oh no,
+Wow, there
+What's wrong
+I apologize for
+Hey, I
+Can I help you
+Oh, I didn
+Alright,
+Oh wow,
+Oh my goodness
+I know this event
+What in the
+Saying
+Yeah, that
+Guys, I
+Hey, this v
+This post
+Are
+Hey, can
+Hello? Is
+I can only imagine
+Oh, that sounds
+Hey, is anyone
+I am disappointed
+Hello,
+Hey everyone, I
+That was such
+It's okay
+The artist
+Whoa
+I understand that mistakes
+Can I help
+Who
+Hi everyone! I
+Hey, can you
+Wow, how
+Today
+Oh no, I
+Oh well, I
+Well, that
+This is the
+Yes! I finally
+Hey there little
+Hello everyone!
+Love is never
+Look at the
+This postcard
+Oh great,
+Can I
+Hmm, this is
+I understand your
+Oh, look at
+B
+I'm so
+Whoa, this
+W
+Oh, this
+Sometimes
+This piece of
+What the
+That was a
+Hey, do
+Oh no
+Whoa, what
+I feel like I
+The documentary
+Hello
+Hello little one
+I understand that my
+Eww, that
+Wow, an
+Yes! Finally,
+Although the physical location
+Whoever is watching
+That movie
+I remember wondering about
+Hey there, little
+Who's
+Hello, who
+Hello everyone! Thank
+Hello, can
+That's too
+Hey, just wanted
+Hey there, I
+Saying good
+Hey there!
+Who is there?
+Oh my good
+I am very
+Oh no, what
+Wow, thank
+I was promised
+Hi, is
+Hey, I'
+Guys, the
+Oh no, that
+Who is there
+Hello, this
+That movie really touched
+If you have something
+The documentary was
+I'm starting
+Are you kidd
+That movie really
+Hey everyone,
+Thank you for considering
+I didn'
+Yes! I
+Can you
+Oh my god
+Hey, whoever
+That melody really
+Thank you, little
+Hello, may I
+Look
+Wow, we
+It looks
+What do these
+Oh wow
+I apologize
+What are you all
+It's such
+It's clear
+Hey, I was
+Hey friend,
+I can only
+The weather outside is
+Eww, this
+I miss you
+Wow
+Aww,
+Hi, is there
+This artwork
+Okay,
+Oh well,
+This
+I'
+Say
+Hey there little gu
+Hmm,
+Whoa, who
+I am thr
+Oh man
+Okay, stay calm
+I'm happy
+Oh, this cur
+Oh man,
+I'm sorry
+Hello? Who
+What?! That
+This piece
+Hey everyone
+That's so
+Are you okay?
+What happened? Where
+Hi there
+The
+Who the hell entered
+I can
+Guys,
+What's
+What in
+It's important
+I'm
+I'm coming
+It'
+Yes! Finally
+Wait, what
+Wow, reading
+I'm surprised
+Hey, did
+Hey,
+Okay, let
+I understand that you
+Who the hell threw
+Eww, who
+Thank you for thinking
+Who is this?\"
+I am deeply
+Thank you for including
+Oh no, an
+It looks like you
+Aww
+I'm confused
+Wow, it
+That poem really
+Yes
+Hey there, is
+Hey, what'
+Thank you for remember
+To
+This is
+Thank you for making
+I can'
+That mel
+Wow, they
+I feel like
+Although the
+Who are you
+Love
+If
+What the hell are
+I am so sad
+Oh, I found
+Thank you
+It looks like
+Well, life is
+I appreciate that
+The artist's
+Whoa, that
+It's never
\ No newline at end of file
diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp
new file mode 100644
index 000000000..9941683db
--- /dev/null
+++ b/examples/cvector-generator/cvector-generator.cpp
@@ -0,0 +1,499 @@
+#include "common.h"
+#include "llama.h"
+#include "ggml.h"
+#include "pca.hpp"
+
+#ifdef GGML_USE_CUDA
+#include "ggml-cuda.h"
+#endif
+
+#ifdef GGML_USE_METAL
+#include "ggml-metal.h"
+#endif
+
+#include <cstdio>
+#include <string>
+#include <tuple>
+#include <vector>
+#include <algorithm>
+#include <iostream>
+#include <fstream>
+#include <climits>
+
+
+//////////////////////////////////////////////////
+// utils
+
+template <class Iter>
+static std::string tokens_to_str(llama_context * ctx, Iter begin, Iter end) {
+    std::string ret;
+    for (; begin != end; ++begin) {
+        ret += llama_token_to_piece(ctx, *begin);
+    }
+
+    return ret;
+}
+
+static void print_usage(int argc, char ** argv, const gpt_params & params) {
+    gpt_params_print_usage(argc, argv, params);
+
+    printf("\nexample usage:\n");
+    printf("\n    CPU only:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf\n", argv[0]);
+    printf("\n    with GPU:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99\n", argv[0]);
+    printf("\n    advanced:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100\n", argv[0]);
+    printf("\n");
+}
+
+//////////////////////////////////////////////////
+
+
+// cb_eval is reused for each pair of positive - negative prompt
+struct callback_data {
+    ggml_context * ctx_ggml = nullptr;   // holds v_pos, v_neg, v_diff_filtered
+
+    int n_layers = 0;
+    int n_tokens = 0;
+    bool is_eval_pos = true;
+
+    // each element of the vector correspond to one layer
+    std::vector<struct ggml_tensor *> v_pos; // vector of matrices of size [n_embd, n_tokens]
+    std::vector<struct ggml_tensor *> v_neg; // vector of matrices of size [n_embd, n_tokens]
+    std::vector<struct ggml_tensor *> v_diff_filtered;   // vector of matrices of size [n_embd, n_nonzero_rows]. NOTE: n_nonzero_rows maybe different for each layer
+
+    // save a tensor into either v_pos or v_neg (decided by is_eval_pos)
+    void save_tensor_for_layer(struct ggml_tensor * t) {
+        GGML_ASSERT(t->type == GGML_TYPE_F32);
+
+        if (ctx_ggml == nullptr) {
+            // alloc a new ctx_ggml if needed
+            struct ggml_init_params params_ggml = {
+                /*.mem_size   =*/ ggml_tensor_overhead() * n_layers * 3u,
+                /*.mem_buffer =*/ NULL,
+                /*.no_alloc   =*/ true,
+            };
+            ctx_ggml = ggml_init(params_ggml);
+        }
+
+        // copy tensor data
+        auto n_bytes = ggml_nbytes(t);
+        struct ggml_tensor * t_layer = ggml_new_tensor_2d(ctx_ggml, t->type, t->ne[0], t->ne[1]);
+        t_layer->data = malloc(n_bytes); // TODO @ngxson : get rid of this malloc somehow
+        ggml_backend_tensor_get(t, t_layer->data, 0, n_bytes);
+        ggml_set_name(t_layer, ggml_get_name(t));
+        //print_debug_tensor(t_layer);
+
+        if (is_eval_pos) {
+            v_pos.push_back(t_layer);
+        } else {
+            v_neg.push_back(t_layer);
+        }
+    }
+
+    // calculate diff (v_pos - v_neg) and place the result back to v_pos
+    // all zero rows in the diff tensor will also be removed
+    // NOTE: final layer is ignored. we only have (n_layers - 1) to process
+    std::vector<struct ggml_tensor *> calc_diff() {
+        for (float il = 0; il < v_pos.size(); il++) {
+            float * a = (float *) v_pos[il]->data;
+            float * b = (float *) v_neg[il]->data;
+            size_t n_elem = ggml_nelements(v_pos[il]);
+            for (size_t j = 0; j < n_elem; j++) {
+                a[j] -= b[j];
+            }
+            //print_debug_tensor(v_pos[i]);
+            auto diff_filtered = filter_nonzero_rows(v_pos[il]);
+            v_diff_filtered.push_back(diff_filtered);
+        }
+        return v_diff_filtered; // for convinient, we return the result std::vector
+    }
+
+    // delete zero rows from a given 2D tensor
+    struct ggml_tensor * filter_nonzero_rows(struct ggml_tensor * a) {
+        //printf("filter_nonzero_rows\n");
+        auto is_row_all_zeros = [](struct ggml_tensor * t, int row, float eps) -> bool {
+            // check if given row containing all zero elements
+            int n_cols = t->ne[0]; // hint: should be equal to n_embd
+            for (int col = 0; col < n_cols; ++col) {
+                if (ggml_get_f32_nd(t, col, row, 0, 0) > eps) {
+                    return false;
+                }
+            }
+            return true;
+        };
+        std::vector<int> rows_to_copy; // the idx of non-zero cols (to be copied to row of diff_filtered)
+        for (int i_row = 0; i_row < a->ne[1]; i_row++) {
+            if (!is_row_all_zeros(a, i_row, 1e-6)) {
+                rows_to_copy.push_back(i_row);
+            }
+        }
+
+        // get "n_nonzero_rows" for the output "diff_filtered"
+        int n_nonzero_rows = rows_to_copy.size();
+        //printf("n_nonzero_rows: %d\n", n_nonzero_rows);
+        int n_embd = a->ne[0];
+        GGML_ASSERT(n_nonzero_rows > 0);
+
+        // diff_filtered: [n_embd, n_nonzero_rows]
+        struct ggml_tensor * diff_filtered = ggml_new_tensor_2d(
+            ctx_ggml, GGML_TYPE_F32, n_embd, n_nonzero_rows);
+        ggml_format_name(diff_filtered, "diff_filtered_%s", a->name);
+        diff_filtered->data = malloc(ggml_nbytes(diff_filtered));
+
+        // copy non-zero rows
+        for (int dest_row = 0; dest_row < n_nonzero_rows; dest_row++) {
+            int src_row = rows_to_copy[dest_row];
+            for (int i = 0; i < n_embd; i++) {
+                float src_elem = ggml_get_f32_nd(a, i, src_row, 0, 0);
+                ggml_set_f32_nd(diff_filtered, i, dest_row, 0, 0, src_elem);
+            }
+        }
+
+        //print_debug_tensor(diff_filtered);
+
+        return diff_filtered;
+    }
+
+    // we don't implement destructor, because we want to reuse callback_data. we just want to free the tensors
+    void reset() {
+        for (auto ptr : v_pos) free(ptr->data);
+        for (auto ptr : v_neg) free(ptr->data);
+        for (auto ptr : v_diff_filtered) free(ptr->data);
+        v_pos.clear();
+        v_neg.clear();
+        v_diff_filtered.clear();
+        if (ctx_ggml) {
+            ggml_free(ctx_ggml);
+        }
+        ctx_ggml = nullptr;
+    }
+};
+
+/**
+ * process_ctx is used to store the ggml context for pre-post processing the diff vectors
+ * in short, input => v_diff and output => v_final
+ */
+struct train_context {
+    ggml_context * ctx_ggml;
+    int n_embd;
+    int n_layers;
+
+    /* pair of prompts to be used for generating final vector */
+    std::vector<std::string> positive_entries;
+    std::vector<std::string> negative_entries;
+
+    // each element of the vector correspond to one layer
+    // NOTE: the last layer is discard. therefore, we will have (n_layers - 1) elements here
+    // NOTE (2): v_diff is transposed from v_diff_tmp
+    std::vector<struct ggml_tensor *> v_diff;  // vector of matrices of size [m, n_embd] where m ~ n_tokens * n_completions (v_diff contains no zero-rows)
+    std::vector<struct ggml_tensor *> v_final; // vector of vectors of size [n_embd] to be written to file
+
+    // to easily re-alloc when concat v_diff, we temporary store v_diff in a vector instead of a tensor
+    // v_diff_tmp will get converted unto v_diff later on
+    std::vector<std::vector<uint8_t>> v_diff_tmp;
+
+    train_context(int n_embd_, int n_layers_) {
+        n_embd = n_embd_;
+        n_layers = n_layers_;
+        struct ggml_init_params params_ggml = {
+            /*.mem_size   =*/ ggml_tensor_overhead() * (n_layers - 1) * 2u,
+            /*.mem_buffer =*/ NULL,
+            /*.no_alloc   =*/ true,
+        };
+        ctx_ggml = ggml_init(params_ggml);
+        for (int il = 0; il < n_layers - 1; il++) {
+            std::vector<uint8_t> empty;
+            v_diff_tmp.push_back(empty);
+            auto t = ggml_new_tensor_1d(ctx_ggml, GGML_TYPE_F32, n_embd);
+            t->data = malloc(ggml_nbytes(t)); // TODO: get rid of malloc if possible
+            v_final.push_back(t);
+        }
+    }
+
+    // add new rows into existing tensor in v_diff_tmp
+    void concat_diff_tmp(const std::vector<struct ggml_tensor *> & diff_filtered) {
+        GGML_ASSERT((int) diff_filtered.size() == n_layers - 1);
+        for (int il = 0; il < n_layers - 1; il++) {
+            auto t = diff_filtered[il];
+            auto & diff_tmp = v_diff_tmp[il];
+            size_t curr_size = diff_tmp.size();
+            diff_tmp.resize(curr_size + ggml_nbytes(t));
+            memcpy(diff_tmp.data() + curr_size, t->data, ggml_nbytes(t));
+        }
+    }
+
+    // build the v_diff tensors from v_diff_tmp (v_diff need to be transposed)
+    // TODO @ngxson : maybe add option NOT to transpose v_diff; will be useful for "mean" method
+    void build_v_diff() {
+        printf("build_v_diff\n");
+        for (int il = 0; il < n_layers - 1; il++) {
+            auto & diff_tmp = v_diff_tmp[il];
+            int n_elem = diff_tmp.size() / sizeof(float);
+            GGML_ASSERT(n_elem % n_embd == 0);
+            int n_rows = n_elem / n_embd;
+            struct ggml_tensor * diff = ggml_new_tensor_2d(ctx_ggml, GGML_TYPE_F32, n_rows, n_embd);
+            ggml_set_name(diff, (std::string("diff_") + std::to_string(il)).c_str());
+            // copy data & transpose
+            diff->data = malloc(ggml_nbytes(diff)); // TODO: get rid of this malloc if possible
+            float * arr = (float *) diff_tmp.data();
+            for (int ir = 0; ir < n_rows; ++ir) {
+                for (int ic = 0; ic < n_embd; ++ic) {
+                    float f = arr[ir*n_embd + ic];
+                    ggml_set_f32_nd(diff, ir, ic, 0, 0, f);
+                }
+            }
+            v_diff.push_back(diff);
+            print_debug_tensor(diff);
+            // free memory of diff_tmp
+            diff_tmp.resize(0);
+        }
+    }
+
+    ~train_context() {
+        for (auto ptr : v_final) free(ptr->data);
+        for (auto ptr : v_diff) free(ptr->data);
+        // no need to free v_diff_tmp, since we didn't use malloc
+        ggml_free(ctx_ggml);
+    }
+};
+
+struct tokenized_prompt {
+    std::vector<llama_token> tokens_pos;
+    std::vector<llama_token> tokens_neg;
+    size_t max_seq_len;
+
+    tokenized_prompt(llama_context * ctx, std::string pos, std::string neg) {
+        const bool add_bos = llama_should_add_bos_token(llama_get_model(ctx));
+        tokens_pos = ::llama_tokenize(ctx, pos, add_bos);
+        tokens_neg = ::llama_tokenize(ctx, neg, add_bos);
+        max_seq_len = std::max(tokens_pos.size(), tokens_neg.size());
+        padding_seq(ctx, tokens_pos, max_seq_len);
+        padding_seq(ctx, tokens_neg, max_seq_len);
+    }
+
+    void padding_seq(llama_context * ctx, std::vector<llama_token> & tokens, size_t len) {
+        // TODO: customize padding token
+        std::vector<llama_token> pad_tokens = ::llama_tokenize(ctx, " ", false);
+        llama_token pad_tok = pad_tokens.back();
+        while (tokens.size() < len) {
+            tokens.push_back(pad_tok);
+        }
+    }
+};
+
+//////////////////////////////////////////////////
+
+template <typename T>
+static std::string to_string(const T & val) {
+    std::stringstream ss;
+    ss << val;
+    return ss.str();
+}
+
+static std::vector<std::string> ctrlvec_load_prompt_file(std::string path, bool skip_empty_lines) {
+    std::vector<std::string> output;
+    std::ifstream file(path);
+    if (!file.is_open()) {
+        fprintf(stderr, "error: unable to open file: %s\n", path.c_str());
+        exit(1);
+    }
+    std::string line;
+    while (std::getline(file, line)) {
+        bool is_skip = skip_empty_lines && line.empty();
+        if (!is_skip) {
+            string_process_escapes(line);
+            output.push_back(line);
+        }
+    }
+    file.close();
+    return output;
+}
+
+//////////////////////////////////////////////////
+
+static bool cb_eval(struct ggml_tensor * t, bool ask, void * user_data) {
+    auto * cb_data = (callback_data *) user_data;
+    static const char * l_out_name = "l_out";
+    const bool is_l_out = strncmp(t->name, l_out_name, strlen(l_out_name)) == 0;
+
+    if (ask) {
+        return is_l_out;
+    }
+
+    if (!is_l_out || t->ne[1] != cb_data->n_tokens) {
+        return true;
+    }
+
+    // save the tensor to current context
+    cb_data->save_tensor_for_layer(t);
+    return true;
+}
+
+static bool get_hidden_layers(llama_context * ctx, std::vector<llama_token> & tokens) {
+    llama_kv_cache_clear(ctx);
+    if (llama_decode(ctx, llama_batch_get_one(tokens.data(), tokens.size(), 0, 0))) {
+        fprintf(stderr, "%s : failed to eval\n", __func__);
+        return false;
+    }
+    return true;
+}
+
+static void export_gguf(const std::vector<struct ggml_tensor *> & v_ctrl, const std::string fname, const std::string model_hint) {
+    struct gguf_context * ctx = gguf_init_empty();
+
+    const std::string arch = "controlvector";
+    gguf_set_val_str(ctx, "general.architecture", arch.c_str());
+    gguf_set_val_str(ctx, (arch + ".model_hint").c_str(), model_hint.c_str());
+    gguf_set_val_i32(ctx, (arch + ".layer_count").c_str(), v_ctrl.size());
+
+    for (size_t i = 0; i < v_ctrl.size(); ++i) {
+        gguf_add_tensor(ctx, v_ctrl[i]);
+        print_debug_tensor(v_ctrl[i]);
+        printf("Added tensor: %s\n", v_ctrl[i]->name);
+    }
+
+    printf("%s: writing file...\n", __func__);
+    gguf_write_to_file(ctx, fname.c_str(), false);
+    printf("%s: wrote file '%s'\n", __func__, fname.c_str());
+    gguf_free(ctx);
+}
+
+/**
+ * Load prompt files and completion file.
+ * Then format each pair of prompt + completion to make an entry.
+ */
+static int prepare_entries(gpt_params & params, train_context & ctx_train) {
+    // load prompts
+    std::vector<std::string> positive_prompts = ctrlvec_load_prompt_file(params.cvector_positive_file, true);
+    std::vector<std::string> negative_prompts = ctrlvec_load_prompt_file(params.cvector_negative_file, true);
+    if (positive_prompts.size() != negative_prompts.size()) {
+        fprintf(stderr, "number of positive and negative prompts must be equal\n");
+        return 1;
+    }
+    if (positive_prompts.empty()) {
+        fprintf(stderr, "must provide at least one prompt pair\n");
+        return 1;
+    }
+
+    // create templated prompts
+    std::vector<std::string> completions = ctrlvec_load_prompt_file(params.cvector_completions_file, false);
+    auto format_template = [](std::string persona, std::string suffix) {
+        // entry in positive/negative.txt must already be formatted i.e. "[INST] Act as if you're extremely happy. [/INST]"
+        return persona + " " + suffix;
+    };
+    for (size_t i = 0; i < positive_prompts.size(); ++i) {
+        for (int j = 0; j < std::min((int) completions.size(), params.n_completions); ++j) {
+            // TODO replicate the truncations done by the python implementation
+            ctx_train.positive_entries.push_back(format_template(positive_prompts[i], completions[j]));
+            ctx_train.negative_entries.push_back(format_template(negative_prompts[i], completions[j]));
+        }
+    }
+    return 0;
+}
+
+int main(int argc, char ** argv) {
+    gpt_params params;
+
+    if (!gpt_params_parse(argc, argv, params)) {
+        print_usage(argc, argv, params);
+        return 1;
+    }
+
+    if (params.n_pca_iterations % params.n_pca_batch != 0) {
+        fprintf(stderr, "PCA iterations must by multiply of PCA batch size\n");
+        return 1;
+    }
+
+
+    callback_data cb_data;
+
+    // pass the callback to the backend scheduler
+    // it will be executed for each node during the graph computation
+    params.cb_eval = cb_eval;
+    params.cb_eval_user_data = &cb_data;
+    params.warmup = false;
+
+    print_build_info();
+    llama_backend_init();
+    llama_numa_init(params.numa);
+
+    // load the model to get hparams
+    llama_model * model;
+    llama_context * ctx;
+    std::tie(model, ctx) = llama_init_from_gpt_params(params);
+
+    // int n_ctx = llama_n_ctx(ctx);
+    int n_layers = llama_n_layer(model);
+    int n_embd = llama_n_embd(model);
+    // get model hint param (a.k.a model arch name)
+    char model_hint[128];
+    llama_model_meta_val_str(model, "general.architecture", model_hint, 128);
+
+    // init train_context
+    train_context ctx_train(n_embd, n_layers);
+
+    // load and prepare entries for training
+    prepare_entries(params, ctx_train);
+
+    // we have to pretokenize everything because otherwise we don't know how much overhead to allocate ctx_diffs_wrapped
+    std::vector<tokenized_prompt> tokenized_prompts;
+    size_t n_total_tokens = 0;
+    for (size_t i = 0; i < ctx_train.positive_entries.size(); ++i) {
+        tokenized_prompt t(ctx, ctx_train.positive_entries[i], ctx_train.negative_entries[i]);
+        n_total_tokens += 2 * t.max_seq_len;
+        tokenized_prompts.push_back(std::move(t));
+    }
+
+    std::cout << "n_total_tokens: " << n_total_tokens << std::endl;
+
+    for(size_t i = 0; i < ctx_train.positive_entries.size(); ++i) {
+        bool success = false;
+        tokenized_prompt t = tokenized_prompts[i];
+        cb_data.n_layers = n_layers;
+        cb_data.n_tokens = t.max_seq_len;
+
+        printf("Evaluating prompt[%d/%d]: \"%s\" - \"%s\" (%d tokens)\n",
+            (int) i+1, (int) ctx_train.positive_entries.size(),
+            tokens_to_str(ctx, t.tokens_pos.cbegin(), t.tokens_pos.cend()).c_str(),
+            tokens_to_str(ctx, t.tokens_neg.cbegin(), t.tokens_neg.cend()).c_str(),
+            (int) t.max_seq_len);
+
+        cb_data.is_eval_pos = true;
+        success = get_hidden_layers(ctx, t.tokens_pos);
+        if (!success) break;
+
+        cb_data.is_eval_pos = false;
+        success = get_hidden_layers(ctx, t.tokens_neg);
+        if (!success) break;
+
+        // calculate diff and remove all zero rows
+        auto v_diff_filtered = cb_data.calc_diff();
+
+        // save & concat the filtered v_diff to ctx_train
+        ctx_train.concat_diff_tmp(v_diff_filtered);
+
+        // reset for next iteration
+        cb_data.reset();
+    }
+
+    // done with the model, we can now free it to make gain some memory
+    printf("Done evaluate prompts, unload model...\n");
+    llama_free(ctx);
+    llama_free_model(model);
+
+    // prepare ctx_train for PCA
+    ctx_train.build_v_diff();
+
+    // run PCA
+    PCA::pca_params pca_params;
+    pca_params.n_threads = params.n_threads;
+    pca_params.n_batch = params.n_pca_batch;
+    pca_params.n_iterations = params.n_pca_iterations;
+    PCA::run_pca(pca_params, ctx_train.v_diff, ctx_train.v_final);
+
+    // write output vectors to gguf
+    export_gguf(ctx_train.v_final, params.cvector_outfile, model_hint);
+
+    llama_backend_free();
+
+    return 0;
+}
diff --git a/examples/cvector-generator/negative.txt b/examples/cvector-generator/negative.txt
new file mode 100644
index 000000000..2ac3387f1
--- /dev/null
+++ b/examples/cvector-generator/negative.txt
@@ -0,0 +1 @@
+[INST] Act like a person who is extremely sad. [/INST]
\ No newline at end of file
diff --git a/examples/cvector-generator/pca.hpp b/examples/cvector-generator/pca.hpp
new file mode 100644
index 000000000..8b95cec37
--- /dev/null
+++ b/examples/cvector-generator/pca.hpp
@@ -0,0 +1,322 @@
+#include "common.h"
+#include "llama.h"
+#include "ggml.h"
+
+#ifdef GGML_USE_CUDA
+#include "ggml-cuda.h"
+#endif
+
+#ifdef GGML_USE_METAL
+#include "ggml-metal.h"
+#endif
+
+#include <cstdio>
+#include <ctime>
+#include <string>
+#include <tuple>
+#include <vector>
+#include <algorithm>
+#include <iostream>
+#include <fstream>
+
+#define DEBUG_POS 5
+
+static void print_debug_tensor(struct ggml_tensor * t, bool with_data = true) {
+    printf("%s: %s (%s): [%d, %d]\n", __func__, t->name, ggml_type_name(t->type), (int) t->ne[0], (int) t->ne[1]);
+    if (!with_data) return;
+    printf("%s: %s[0] = [", __func__, t->name);
+    for (size_t i = 0; i <= DEBUG_POS; i++) {
+        printf(" %f,", ggml_get_f32_nd(t, i, 0, 0, 0));
+    }
+    printf(" ... ]\n");
+}
+
+namespace PCA {
+
+// input params for PCA computations
+struct pca_params {
+    int n_threads = 1;
+    int n_batch = 20; // number of iterations do to in one batch. larger the batch, more memory is used
+    int n_iterations = 1000;
+    float tolerance = 1e-7;
+
+    // for debugging
+    int i_layer = 0;
+    int n_layers = 0;
+};
+
+// result from each iteration
+struct pca_result {
+    struct ggml_tensor * calculated_square = NULL;
+    std::vector<struct ggml_tensor *> eigenvectors;
+    std::vector<float> distances;
+};
+
+struct pca_model {
+    ggml_backend_t backend = NULL;
+    ggml_backend_buffer_t buffer;
+    struct ggml_context * ctx;      // context to compute graph on target device
+    struct ggml_context * ctx_host; // host context to store results
+
+    // tensors on target device
+    struct ggml_tensor * dev_input;
+    struct ggml_tensor * dev_square;
+    struct ggml_tensor * dev_eigenvector;
+
+    pca_model(struct ggml_tensor * t_input) {
+// TODO: enable GPU support when support for GGML_OP_SQRT is added
+// #ifdef GGML_USE_CUDA
+//         fprintf(stderr, "%s: using CUDA backend\n", __func__);
+//         backend = ggml_backend_cuda_init(0); // init device 0
+//         if (!backend) {
+//             fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__);
+//         }
+// #endif
+
+// #ifdef GGML_USE_METAL
+//         fprintf(stderr, "%s: using Metal backend\n", __func__);
+//         backend = ggml_backend_metal_init();
+//         if (!backend) {
+//             fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__);
+//         }
+// #endif
+
+        // if there aren't GPU Backends fallback to CPU backend
+        if (!backend) {
+            backend = ggml_backend_cpu_init();
+        }
+
+        const int num_tensors = 4;
+        struct ggml_init_params params {
+            /*.mem_size   =*/ ggml_tensor_overhead() * num_tensors,
+            /*.mem_buffer =*/ NULL,
+            /*.no_alloc   =*/ true,
+        };
+        ctx = ggml_init(params);
+
+        auto n_samples = t_input->ne[0];
+        auto n_embd    = t_input->ne[1];
+
+        dev_input       = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_samples, n_embd);
+        dev_square      = ggml_new_tensor_2d(ctx, GGML_TYPE_F32, n_embd,    n_embd);
+        dev_eigenvector = ggml_new_tensor_1d(ctx, GGML_TYPE_F32, n_embd);
+
+        ggml_set_name(dev_input,       "dev_input");
+        ggml_set_name(dev_square,      "dev_square");
+        ggml_set_name(dev_eigenvector, "dev_eigenvector");
+        buffer = ggml_backend_alloc_ctx_tensors(ctx, backend);
+        ggml_backend_tensor_set(dev_input, t_input->data, 0, ggml_nbytes(t_input));
+
+        // initialize eigenvector to random normalized vector
+        {
+            std::vector<float> random_vec(ggml_nelements(dev_eigenvector), 0.0);
+            std::default_random_engine generator(static_cast<unsigned int>(std::time(0)));
+            std::uniform_real_distribution<float> distribution(0.0, 1.0);
+            float sum_sqr = 0.0; // for normalizing random_vec
+            for (size_t i = 0; i < random_vec.size(); ++i) {
+                float f = distribution(generator);
+                sum_sqr += f * f;
+                random_vec[i] = f;
+            }
+            // normalize it
+            float random_vec_norm = std::sqrt(sum_sqr);
+            for (size_t i = 0; i < random_vec.size(); ++i) {
+                random_vec[i] /= random_vec_norm;
+            }
+            ggml_backend_tensor_set(dev_eigenvector, random_vec.data(), 0, ggml_nbytes(dev_eigenvector));
+        }
+    }
+
+    ~pca_model() {
+        ggml_free(ctx);
+        ggml_backend_buffer_free(buffer);
+        ggml_backend_free(backend);
+    }
+};
+
+static struct ggml_cgraph * build_graph_piter(
+        const struct pca_params & params,
+        const pca_model & model,
+        bool calc_square = false) {
+    GGML_ASSERT(params.n_batch > 0);
+    // TODO: buf_size must be able to scale with params.n_batch
+    static size_t buf_size = ggml_tensor_overhead()*GGML_DEFAULT_GRAPH_SIZE + ggml_graph_overhead();
+    static std::vector<uint8_t> buf(buf_size);
+
+    struct ggml_init_params params0 = {
+        /*.mem_size   =*/ buf_size,
+        /*.mem_buffer =*/ buf.data(),
+        /*.no_alloc   =*/ true, // the tensors will be allocated later by ggml_allocr_alloc_graph()
+    };
+    // create a temporally context to build the graph
+    struct ggml_context * ctx0 = ggml_init(params0);
+    struct ggml_cgraph * gf = ggml_new_graph(ctx0);
+
+    // turn v_diff_original into square matrix if needed
+    struct ggml_tensor * tmp_square;
+    if (calc_square) {
+        tmp_square = ggml_mul_mat(ctx0, model.dev_input, model.dev_input);
+        ggml_set_name(tmp_square, "tmp_square");
+    }
+
+    struct ggml_tensor * b_tensor;
+    struct ggml_tensor * distance;
+    struct ggml_tensor * old_eigen    = model.dev_eigenvector;
+    struct ggml_tensor * input_square = calc_square ? tmp_square : model.dev_square;
+
+    for (int i = 0; i < params.n_batch; ++i) {
+        // b_tensor = square * eigenvector^T
+        b_tensor = ggml_mul_mat(ctx0, input_square, old_eigen);
+        ggml_set_name(b_tensor, "b_tensor");
+
+        // normalize
+        b_tensor = ggml_div_inplace(ctx0,
+            b_tensor,
+            ggml_sqrt_inplace(ctx0, ggml_sum_rows(ctx0, ggml_sqr(ctx0, b_tensor)))
+        );
+        ggml_format_name(b_tensor, "b_tensor_norm_%d", i);
+
+        // calculate distance(new eigenvector - old eigenvector)
+        // we don't use ggml_sub because it may not be implemented on GPU backend
+        struct ggml_tensor * new_sub_old = ggml_add(ctx0, old_eigen, ggml_scale(ctx0, b_tensor, -1));
+        distance = ggml_sqrt_inplace(ctx0,
+            ggml_sum_rows(ctx0, ggml_sqr_inplace(ctx0, new_sub_old)));
+        ggml_format_name(distance, "distance_%d", i);
+
+        old_eigen = b_tensor;
+
+        // build operations nodes
+        ggml_build_forward_expand(gf, distance);
+    }
+
+    // delete the temporally context used to build the graph
+    ggml_free(ctx0);
+    return gf;
+}
+
+static ggml_status compute_piter(
+        const struct pca_params & params,
+        const pca_model & model,
+        struct ggml_cgraph * gf,
+        ggml_gallocr_t allocr,
+        struct pca_result & result) {
+    // allocate tensors
+    ggml_gallocr_alloc_graph(allocr, gf);
+
+    if (ggml_backend_is_cpu(model.backend)) {
+        ggml_backend_cpu_set_n_threads(model.backend, params.n_threads);
+    }
+
+// TODO: enable GPU support when support for GGML_OP_SQRT is added
+//#ifdef GGML_USE_METAL
+//    if (ggml_backend_is_metal(model.backend)) {
+//        ggml_backend_metal_set_n_cb(model.backend, params.n_threads);
+//    }
+//#endif
+
+    ggml_status res = ggml_backend_graph_compute(model.backend, gf);
+    if (res == GGML_STATUS_SUCCESS) {
+        auto extract_i = [](std::string prefix, std::string str) -> int {
+            int i = -1;
+            if (str.rfind(prefix, 0) == 0) {
+                sscanf(str.c_str(), (prefix + "%d").c_str(), &i);
+            }
+            return i;
+        };
+        result.calculated_square = NULL;
+        result.eigenvectors.clear();
+        result.distances.clear();
+        result.eigenvectors.resize(params.n_batch);
+        result.distances.resize(params.n_batch);
+        // get output nodes
+        for (int i = 0; i < gf->n_nodes; ++i) {
+            auto node = gf->nodes[i];
+            int iter = -1;
+            // find b_tensor (without copying data from device)
+            if ((iter = extract_i("b_tensor_norm_", node->name)) > -1) {
+                result.eigenvectors[iter] = node;
+            }
+            // find distances, then copy data from device
+            if ((iter = extract_i("distance_", node->name)) > -1) {
+                float d;
+                ggml_backend_tensor_get(node, &d, 0, sizeof(float));
+                result.distances[iter] = d;
+                // std::cout << node->name << " = " << d << "\n";
+            }
+            // find tmp_square if it exists (without copying data from device)
+            if (std::string(node->name) == "tmp_square") {
+                result.calculated_square = node;
+            }
+        }
+    }
+    return res;
+}
+
+static void power_iteration(
+        const struct pca_params & params,
+        struct ggml_tensor * input, // shape of input: [n_samples, n_embd]
+        struct ggml_tensor * output) {
+    //printf("in power iteration\n");
+    struct pca_model model(input);
+
+    ggml_gallocr_t allocr = ggml_gallocr_new(ggml_backend_get_default_buffer_type(model.backend));
+    struct pca_result result;
+    struct ggml_tensor * last_eigenvector = NULL;
+
+    int n_iters = params.n_iterations / params.n_batch; // more batch, fewer iterations
+    for (int iter = 0; iter < n_iters; ++iter) {
+        bool calc_square = (iter == 0); // only need to calculate square for first iteration
+        struct ggml_cgraph * gf = build_graph_piter(params, model, calc_square);
+        // ggml_graph_dump_dot(gf, nullptr, "/tmp/_cgraph.dot");
+        compute_piter(params, model, gf, allocr, result);
+
+        for (size_t k = 0; k < result.distances.size(); ++k) {
+            last_eigenvector = result.eigenvectors[k];
+            if (result.distances[k] < params.tolerance) {
+                break; // done
+            }
+        }
+
+        if (calc_square) {
+            // copy and store the square matrix if needed
+            GGML_ASSERT(result.calculated_square != NULL);
+            ggml_backend_tensor_copy(result.calculated_square, model.dev_square);
+        }
+
+        {
+            // copy last eigen vector and store as input for next iteration
+            GGML_ASSERT(last_eigenvector != NULL);
+            ggml_backend_tensor_copy(last_eigenvector, model.dev_eigenvector);
+        }
+
+        printf("%s: layer %d/%d, iteration: %d / total: %d (batch = %d) ...\n",
+            __func__, params.i_layer+1, params.n_layers, iter, n_iters, params.n_batch);
+    }
+
+    // get output tensor
+    GGML_ASSERT(last_eigenvector);
+    ggml_backend_tensor_get(last_eigenvector, output->data, 0, ggml_nbytes(last_eigenvector));
+    //print_debug_tensor(output);
+    ggml_gallocr_free(allocr);
+}
+
+static void run_pca(
+        struct pca_params & params,
+        const std::vector<struct ggml_tensor *> & v_input, // shape of v_input[0]: [n_samples, n_embd]
+        const std::vector<struct ggml_tensor *> & v_output) {
+    printf("%s: Running PCA...\n", __func__);
+    for (size_t il = 0; il < v_input.size(); ++il) {
+
+        // prepare output vector
+        struct ggml_tensor * ctrl_out = v_output[il];
+        ggml_format_name(ctrl_out, "direction.%ld", il+1);
+
+        // run power_iteration
+        params.i_layer = il;
+        params.n_layers = v_input.size();
+        power_iteration(params, v_input[il], ctrl_out);
+        printf("%s: Done layer %d / %d\n", __func__, (int) il+1, (int) v_input.size());
+    }
+}
+
+}
diff --git a/examples/cvector-generator/positive.txt b/examples/cvector-generator/positive.txt
new file mode 100644
index 000000000..f28e9aa1a
--- /dev/null
+++ b/examples/cvector-generator/positive.txt
@@ -0,0 +1 @@
+[INST] Act like a person who is extremely happy. [/INST]
\ No newline at end of file

From 7c7836d9d4062d6858e3fb337b135c417ccee6ce Mon Sep 17 00:00:00 2001
From: 0cc4m <picard12@live.de>
Date: Sun, 16 Jun 2024 07:17:31 +0200
Subject: [PATCH 076/131] Vulkan Shader Refactor, Memory Debugging Option
 (#7947)

* Refactor shaders, extract GLSL code from ggml_vk_generate_shaders.py into vulkan-shaders directory

* Improve debug log code

* Add memory debug output option

* Fix flake8

* Fix unnecessary high llama-3 VRAM use
---
 CMakeLists.txt                             |     5 +
 Makefile                                   |     4 +
 ggml-vulkan-shaders.hpp                    | 40774 ++++++++++---------
 ggml-vulkan.cpp                            |   612 +-
 ggml_vk_generate_shaders.py                |  3096 +-
 vulkan-shaders/add.comp                    |    12 +
 vulkan-shaders/argsort.comp                |    71 +
 vulkan-shaders/clamp.comp                  |    13 +
 vulkan-shaders/copy.comp                   |    16 +
 vulkan-shaders/dequant_f32.comp            |    20 +
 vulkan-shaders/dequant_funcs.comp          |    60 +
 vulkan-shaders/dequant_head.comp           |    13 +
 vulkan-shaders/dequant_q2_k.comp           |    34 +
 vulkan-shaders/dequant_q3_k.comp           |    42 +
 vulkan-shaders/dequant_q4_0.comp           |    32 +
 vulkan-shaders/dequant_q4_1.comp           |    32 +
 vulkan-shaders/dequant_q4_k.comp           |    56 +
 vulkan-shaders/dequant_q5_0.comp           |    34 +
 vulkan-shaders/dequant_q5_1.comp           |    35 +
 vulkan-shaders/dequant_q5_k.comp           |    58 +
 vulkan-shaders/dequant_q6_k.comp           |    33 +
 vulkan-shaders/dequant_q8_0.comp           |    31 +
 vulkan-shaders/diag_mask_inf.comp          |    34 +
 vulkan-shaders/div.comp                    |    12 +
 vulkan-shaders/gelu.comp                   |    25 +
 vulkan-shaders/generic_binary_head.comp    |    48 +
 vulkan-shaders/generic_head.comp           |     9 +
 vulkan-shaders/generic_unary_head.comp     |    35 +
 vulkan-shaders/get_rows.comp               |    26 +
 vulkan-shaders/get_rows_quant.comp         |    31 +
 vulkan-shaders/mul.comp                    |    12 +
 vulkan-shaders/mul_mat_split_k_reduce.comp |    29 +
 vulkan-shaders/mul_mat_vec.comp            |    50 +
 vulkan-shaders/mul_mat_vec_base.comp       |    81 +
 vulkan-shaders/mul_mat_vec_nc.comp         |    71 +
 vulkan-shaders/mul_mat_vec_p021.comp       |    73 +
 vulkan-shaders/mul_mat_vec_q2_k.comp       |    73 +
 vulkan-shaders/mul_mat_vec_q3_k.comp       |    66 +
 vulkan-shaders/mul_mat_vec_q4_k.comp       |   115 +
 vulkan-shaders/mul_mat_vec_q5_k.comp       |   111 +
 vulkan-shaders/mul_mat_vec_q6_k.comp       |    79 +
 vulkan-shaders/mul_mm.comp                 |   494 +
 vulkan-shaders/norm.comp                   |    44 +
 vulkan-shaders/relu.comp                   |    21 +
 vulkan-shaders/rms_norm.comp               |    42 +
 vulkan-shaders/rope_head.comp              |    44 +
 vulkan-shaders/rope_neox.comp              |    37 +
 vulkan-shaders/rope_norm.comp              |    37 +
 vulkan-shaders/scale.comp                  |    12 +
 vulkan-shaders/silu.comp                   |    22 +
 vulkan-shaders/soft_max.comp               |   106 +
 vulkan-shaders/square.comp                 |    13 +
 vulkan-shaders/sum_rows.comp               |    37 +
 vulkan-shaders/types.comp                  |   179 +
 54 files changed, 25266 insertions(+), 21885 deletions(-)
 create mode 100644 vulkan-shaders/add.comp
 create mode 100644 vulkan-shaders/argsort.comp
 create mode 100644 vulkan-shaders/clamp.comp
 create mode 100644 vulkan-shaders/copy.comp
 create mode 100644 vulkan-shaders/dequant_f32.comp
 create mode 100644 vulkan-shaders/dequant_funcs.comp
 create mode 100644 vulkan-shaders/dequant_head.comp
 create mode 100644 vulkan-shaders/dequant_q2_k.comp
 create mode 100644 vulkan-shaders/dequant_q3_k.comp
 create mode 100644 vulkan-shaders/dequant_q4_0.comp
 create mode 100644 vulkan-shaders/dequant_q4_1.comp
 create mode 100644 vulkan-shaders/dequant_q4_k.comp
 create mode 100644 vulkan-shaders/dequant_q5_0.comp
 create mode 100644 vulkan-shaders/dequant_q5_1.comp
 create mode 100644 vulkan-shaders/dequant_q5_k.comp
 create mode 100644 vulkan-shaders/dequant_q6_k.comp
 create mode 100644 vulkan-shaders/dequant_q8_0.comp
 create mode 100644 vulkan-shaders/diag_mask_inf.comp
 create mode 100644 vulkan-shaders/div.comp
 create mode 100644 vulkan-shaders/gelu.comp
 create mode 100644 vulkan-shaders/generic_binary_head.comp
 create mode 100644 vulkan-shaders/generic_head.comp
 create mode 100644 vulkan-shaders/generic_unary_head.comp
 create mode 100644 vulkan-shaders/get_rows.comp
 create mode 100644 vulkan-shaders/get_rows_quant.comp
 create mode 100644 vulkan-shaders/mul.comp
 create mode 100644 vulkan-shaders/mul_mat_split_k_reduce.comp
 create mode 100644 vulkan-shaders/mul_mat_vec.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_base.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_nc.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_p021.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_q2_k.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_q3_k.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_q4_k.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_q5_k.comp
 create mode 100644 vulkan-shaders/mul_mat_vec_q6_k.comp
 create mode 100644 vulkan-shaders/mul_mm.comp
 create mode 100644 vulkan-shaders/norm.comp
 create mode 100644 vulkan-shaders/relu.comp
 create mode 100644 vulkan-shaders/rms_norm.comp
 create mode 100644 vulkan-shaders/rope_head.comp
 create mode 100644 vulkan-shaders/rope_neox.comp
 create mode 100644 vulkan-shaders/rope_norm.comp
 create mode 100644 vulkan-shaders/scale.comp
 create mode 100644 vulkan-shaders/silu.comp
 create mode 100644 vulkan-shaders/soft_max.comp
 create mode 100644 vulkan-shaders/square.comp
 create mode 100644 vulkan-shaders/sum_rows.comp
 create mode 100644 vulkan-shaders/types.comp

diff --git a/CMakeLists.txt b/CMakeLists.txt
index d86107187..c90414afa 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -119,6 +119,7 @@ option(LLAMA_HIP_UMA                         "llama: use HIP unified memory arch
 option(LLAMA_VULKAN                          "llama: use Vulkan"                                OFF)
 option(LLAMA_VULKAN_CHECK_RESULTS            "llama: run Vulkan op checks"                      OFF)
 option(LLAMA_VULKAN_DEBUG                    "llama: enable Vulkan debug output"                OFF)
+option(LLAMA_VULKAN_MEMORY_DEBUG             "llama: enable Vulkan memory debug output"         OFF)
 option(LLAMA_VULKAN_VALIDATE                 "llama: enable Vulkan validation"                  OFF)
 option(LLAMA_VULKAN_RUN_TESTS                "llama: run Vulkan tests"                          OFF)
 option(LLAMA_METAL                           "llama: use Metal"                                 ${LLAMA_METAL_DEFAULT})
@@ -534,6 +535,10 @@ if (LLAMA_VULKAN)
             add_compile_definitions(GGML_VULKAN_DEBUG)
         endif()
 
+        if (LLAMA_VULKAN_MEMORY_DEBUG)
+            add_compile_definitions(GGML_VULKAN_MEMORY_DEBUG)
+        endif()
+
         if (LLAMA_VULKAN_VALIDATE)
             add_compile_definitions(GGML_VULKAN_VALIDATE)
         endif()
diff --git a/Makefile b/Makefile
index 5ab3481fb..f94ee3933 100644
--- a/Makefile
+++ b/Makefile
@@ -608,6 +608,10 @@ ifdef LLAMA_VULKAN_DEBUG
 	MK_CPPFLAGS  += -DGGML_VULKAN_DEBUG
 endif
 
+ifdef LLAMA_VULKAN_MEMORY_DEBUG
+	MK_CPPFLAGS  += -DGGML_VULKAN_MEMORY_DEBUG
+endif
+
 ifdef LLAMA_VULKAN_VALIDATE
 	MK_CPPFLAGS  += -DGGML_VULKAN_VALIDATE
 endif
diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp
index 4a8ee3415..e97a8c6b7 100644
--- a/ggml-vulkan-shaders.hpp
+++ b/ggml-vulkan-shaders.hpp
@@ -2103,7 +2103,7 @@ unsigned char dequant_f32_data[] = {
 };
 const uint64_t dequant_f32_len = 3200;
 
-unsigned char dequant_q2_K_data[] = {
+unsigned char dequant_q2_k_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -2442,9 +2442,9 @@ unsigned char dequant_q2_K_data[] = {
 0x01,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t dequant_q2_K_len = 4032;
+const uint64_t dequant_q2_k_len = 4032;
 
-unsigned char dequant_q3_K_data[] = {
+unsigned char dequant_q3_k_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x3f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -2847,7 +2847,7 @@ unsigned char dequant_q3_K_data[] = {
 0xf8,0x00,0x02,0x00,0x2d,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t dequant_q3_K_len = 4804;
+const uint64_t dequant_q3_k_len = 4804;
 
 unsigned char dequant_q4_0_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -3728,7 +3728,7 @@ unsigned char dequant_q4_1_data[] = {
 };
 const uint64_t dequant_q4_1_len = 5248;
 
-unsigned char dequant_q4_K_data[] = {
+unsigned char dequant_q4_k_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xae,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -4224,7 +4224,7 @@ unsigned char dequant_q4_K_data[] = {
 0x34,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t dequant_q4_K_len = 5916;
+const uint64_t dequant_q4_k_len = 5916;
 
 unsigned char dequant_q5_0_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -5323,7 +5323,7 @@ unsigned char dequant_q5_1_data[] = {
 };
 const uint64_t dequant_q5_1_len = 6412;
 
-unsigned char dequant_q5_K_data[] = {
+unsigned char dequant_q5_k_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x9e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -5824,9 +5824,9 @@ unsigned char dequant_q5_K_data[] = {
 0xf8,0x00,0x02,0x00,0x88,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t dequant_q5_K_len = 5980;
+const uint64_t dequant_q5_k_len = 5980;
 
-unsigned char dequant_q6_K_data[] = {
+unsigned char dequant_q6_k_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -6185,7 +6185,7 @@ unsigned char dequant_q6_K_data[] = {
 0x03,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t dequant_q6_K_len = 4272;
+const uint64_t dequant_q6_k_len = 4272;
 
 unsigned char dequant_q8_0_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -18578,2676 +18578,6 @@ unsigned char matmul_f16_fp32_data[] = {
 };
 const uint64_t matmul_f16_fp32_len = 10276;
 
-unsigned char matmul_f32_data[] = {
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-0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
-0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
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-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
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-0x52,0x01,0x00,0x00,0x3a,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
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-0x4b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x4e,0x02,0x00,0x00,0x49,0x02,0x00,0x00,0x4a,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
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-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5b,0x02,0x00,0x00,
-0x2f,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x5e,0x02,0x00,0x00,0x5b,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x60,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xac,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x49,0x02,0x00,0x00,
-0xa2,0x02,0x00,0x00,0x63,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0x66,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x62,0x02,0x00,0x00,
-0x63,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x66,0x02,0x00,0x00,0x61,0x02,0x00,0x00,0x62,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x61,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
-0x3f,0x00,0x00,0x00,0x61,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,
-0x6b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x6e,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0x6a,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x6e,0x02,0x00,0x00,
-0x69,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x71,0x02,0x00,0x00,0x56,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x74,0x02,0x00,0x00,
-0x71,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x76,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x74,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0x76,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x75,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x79,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
-0xac,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x7a,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,
-0x7a,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x7c,0x02,0x00,0x00,0x79,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x76,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
-0x7d,0x02,0x00,0x00,0x74,0x02,0x00,0x00,0x69,0x02,0x00,0x00,
-0x7c,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x7f,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x7d,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x87,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
-0xac,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x89,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
-0x89,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x8b,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
-0x3e,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
-0x56,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
-0xa9,0x02,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
-0xac,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x96,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
-0xaa,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
-0x98,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9b,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
-0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
-0x41,0x00,0x06,0x00,0x11,0x01,0x00,0x00,0x9e,0x02,0x00,0x00,
-0x83,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x7f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x63,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
-0xac,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x62,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x4b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x4b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa4,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x4a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x43,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x43,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x42,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t matmul_f32_len = 10324;
-
-unsigned char matmul_f32_aligned_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x17,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
-0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
-0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
-0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
-0x71,0x01,0x00,0x00,0x78,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x38,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x50,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x61,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x63,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
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-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,
-0x73,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
-0x3f,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
-0x81,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
-0x84,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xbf,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0x80,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x84,0x02,0x00,0x00,
-0x7f,0x02,0x00,0x00,0x80,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x7f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
-0x7f,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
-0xe8,0x02,0x00,0x00,0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0x88,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x8c,0x02,0x00,0x00,0x87,0x02,0x00,0x00,
-0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
-0xe8,0x02,0x00,0x00,0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
-0x90,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x93,0x02,0x00,0x00,0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
-0x91,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
-0x05,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x99,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
-0x69,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
-0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
-0x87,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
-0xea,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0xa0,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xa4,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
-0xa0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa6,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xec,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
-0xde,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc2,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
-0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa8,0x02,0x00,0x00,
-0xa9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xac,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
-0xec,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
-0xb2,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xb4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
-0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
-0x9c,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xb9,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc2,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
-0xb9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0xc2,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
-0xa7,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xbd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xbb,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
-0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,
-0x9c,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xc6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,
-0xc8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xca,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
-0xca,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
-0xec,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd0,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
-0xd0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
-0xd3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd6,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
-0xd4,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
-0xec,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
-0xda,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
-0xda,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x07,0x01,0x00,0x00,
-0xdc,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
-0xce,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xdc,0x02,0x00,0x00,
-0xdb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
-0xec,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x81,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
-0xe7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t matmul_f32_aligned_len = 11432;
-
-unsigned char matmul_f32_aligned_fp32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xce,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x45,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x2f,0x02,0x00,0x00,
-0x78,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x12,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x30,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
-0x0d,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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-0x91,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x05,0x01,0x00,0x00,
-0x93,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
-0x85,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0x93,0x02,0x00,0x00,
-0x92,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x74,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x74,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
-0xa3,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x97,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x38,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
-0x9e,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t matmul_f32_aligned_fp32_len = 10124;
-
 unsigned char matmul_f32_f16_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
@@ -24783,7 +22113,2677 @@ unsigned char matmul_f32_f16_fp32_data[] = {
 };
 const uint64_t matmul_f32_f16_fp32_len = 10260;
 
-unsigned char matmul_f32_fp32_data[] = {
+unsigned char matmul_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xd9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
+0x52,0x01,0x00,0x00,0x3a,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x38,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x50,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x61,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x63,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x04,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x04,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x04,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x06,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x22,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x50,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x50,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x50,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x52,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x52,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3a,0x02,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x80,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x81,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x81,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x81,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x83,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x83,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x10,0x00,0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x13,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x0d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x15,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x54,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
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+0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x41,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x48,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x41,0x02,0x00,0x00,
+0xa4,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x4e,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x4a,0x02,0x00,0x00,
+0x4b,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x4e,0x02,0x00,0x00,0x49,0x02,0x00,0x00,0x4a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x49,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x52,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x53,0x02,0x00,0x00,0x29,0x02,0x00,0x00,0x52,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x55,0x02,0x00,0x00,
+0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x56,0x02,0x00,0x00,0x53,0x02,0x00,0x00,
+0x55,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xc7,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5b,0x02,0x00,0x00,
+0x2f,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5e,0x02,0x00,0x00,0x5b,0x02,0x00,0x00,0x5d,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x49,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x63,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x66,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x62,0x02,0x00,0x00,
+0x63,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x66,0x02,0x00,0x00,0x61,0x02,0x00,0x00,0x62,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x61,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x68,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0x61,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x6b,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x6e,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x6a,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x6e,0x02,0x00,0x00,
+0x69,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x69,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x71,0x02,0x00,0x00,0x56,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x74,0x02,0x00,0x00,
+0x71,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x76,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x74,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0x76,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x75,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x79,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7b,0x02,0x00,0x00,
+0x7a,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x7c,0x02,0x00,0x00,0x79,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x76,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
+0x7d,0x02,0x00,0x00,0x74,0x02,0x00,0x00,0x69,0x02,0x00,0x00,
+0x7c,0x02,0x00,0x00,0x75,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x7f,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7d,0x02,0x00,0x00,0x7e,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x87,0x02,0x00,0x00,0x5e,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x89,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x89,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x87,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x3e,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,0x8c,0x02,0x00,0x00,
+0x56,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,0x92,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x99,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc3,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x11,0x01,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9e,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x68,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x6a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x63,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x63,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x62,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa4,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x48,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x43,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x43,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x42,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_f32_len = 10324;
+
+unsigned char matmul_f32_f32_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x17,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
+0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
+0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x71,0x01,0x00,0x00,0x78,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x0d,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x38,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x50,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x61,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x73,0x02,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x72,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x77,0x02,0x00,0x00,0x48,0x00,0x00,0x00,
+0x72,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,
+0x79,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x79,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x7b,0x02,0x00,0x00,0x77,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7c,0x02,0x00,0x00,
+0x73,0x02,0x00,0x00,0x7b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x81,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0x84,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x80,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x84,0x02,0x00,0x00,
+0x7f,0x02,0x00,0x00,0x80,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x7f,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0x89,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x8c,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x88,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x8c,0x02,0x00,0x00,0x87,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x67,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x93,0x02,0x00,0x00,0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x94,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x93,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x05,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x69,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0x9b,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0x87,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,
+0xea,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xa0,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa4,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa8,0x02,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xac,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0x94,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x9c,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc2,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0xc2,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xa7,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xbd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xbb,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,
+0x9c,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xca,0x02,0x00,0x00,0x7c,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xd0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x07,0x01,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0xce,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xdc,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe0,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x81,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_f32_aligned_len = 11432;
+
+unsigned char matmul_f32_f32_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xce,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x2f,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x12,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x8d,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x90,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcd,0x00,0x00,0x00,
+0x91,0x02,0x00,0x00,0xca,0x00,0x00,0x00,0x90,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0x92,0x02,0x00,0x00,
+0x91,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x05,0x01,0x00,0x00,
+0x93,0x02,0x00,0x00,0x78,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
+0x85,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0x93,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x74,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x74,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x60,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x95,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x40,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x40,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x3d,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x3f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x38,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x35,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_f32_f32_aligned_fp32_len = 10124;
+
+unsigned char matmul_f32_f32_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xd2,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
@@ -25636,7 +25636,7 @@ unsigned char matmul_f32_fp32_data[] = {
 0x39,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x3b,0x02,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_f32_fp32_len = 10208;
+const uint64_t matmul_f32_f32_fp32_len = 10208;
 
 unsigned char matmul_id_f16_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -33084,7 +33084,3735 @@ unsigned char matmul_id_f16_fp32_data[] = {
 };
 const uint64_t matmul_id_f16_fp32_len = 10748;
 
-unsigned char matmul_id_f32_data[] = {
+unsigned char matmul_id_f32_f16_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0x86,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2c,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x57,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x58,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x58,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x58,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5a,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x5a,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x83,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x84,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x84,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x84,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x86,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x86,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
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+0x48,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f32_f16_len = 10804;
+
+unsigned char matmul_id_f32_f16_aligned_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x68,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,
+0x96,0x01,0x00,0x00,0xcc,0x02,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x0d,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0f,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x93,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x94,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x94,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x94,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x94,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x94,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x96,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x96,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc9,0x02,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xca,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xca,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xca,0x02,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xcc,0x02,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xcc,0x02,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
+0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x0d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0f,0x00,
+0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x6c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
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+0xbb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb9,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x91,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6c,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xc4,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc8,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xda,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x07,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0x05,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
+0xd6,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x11,0x01,0x00,0x00,0xed,0x02,0x00,0x00,
+0xcc,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
+0x0d,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0x07,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xae,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0x05,0x03,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x94,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t matmul_id_f32_f16_aligned_len = 12048;
+
+unsigned char matmul_id_f32_f16_aligned_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x68,0x01,0x00,0x00,0x70,0x01,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7a,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x7a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0a,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0b,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x0b,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x27,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x28,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6d,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x6e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x6e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x6e,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x70,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x70,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8c,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x8d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x8d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,0x96,0x02,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa0,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,0x65,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa0,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xab,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xad,0x02,0x00,0x00,
+0xab,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd9,0x00,0x00,0x00,0xae,0x02,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
+0xaf,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x0f,0x01,0x00,0x00,0xb0,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xb0,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x72,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x72,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x9b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x59,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x52,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x52,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x9b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x51,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb9,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f32_f16_aligned_fp32_len = 10928;
+
+unsigned char matmul_id_f32_f16_fp32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x10,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x13,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x82,0x02,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x2c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x11,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x11,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x35,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x42,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x0c,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0d,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x0d,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x28,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x29,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x56,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x56,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x58,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x58,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7f,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x80,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x80,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x82,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x82,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
+0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x0a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x0d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0f,0x00,0x11,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x12,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x12,0x00,0x00,0x00,
+0x13,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x15,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
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+0xf9,0x00,0x02,0x00,0x42,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x44,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t matmul_id_f32_f16_fp32_len = 10732;
+
+unsigned char matmul_id_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x31,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
@@ -33986,9 +37714,9 @@ unsigned char matmul_id_f32_data[] = {
 0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_f32_len = 10796;
+const uint64_t matmul_id_f32_f32_len = 10796;
 
-unsigned char matmul_id_f32_aligned_data[] = {
+unsigned char matmul_id_f32_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x6d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x09,0x00,0x00,0x00,
@@ -35001,9 +38729,9 @@ unsigned char matmul_id_f32_aligned_data[] = {
 0xfb,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t matmul_id_f32_aligned_len = 12120;
+const uint64_t matmul_id_f32_f32_aligned_len = 12120;
 
-unsigned char matmul_id_f32_aligned_fp32_data[] = {
+unsigned char matmul_id_f32_f32_aligned_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x24,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
@@ -35907,9 +39635,9 @@ unsigned char matmul_id_f32_aligned_fp32_data[] = {
 0xb2,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t matmul_id_f32_aligned_fp32_len = 10812;
+const uint64_t matmul_id_f32_f32_aligned_fp32_len = 10812;
 
-unsigned char matmul_id_f32_fp32_data[] = {
+unsigned char matmul_id_f32_f32_fp32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x2a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x16,0x00,0x00,0x00,
@@ -36802,7 +40530,7 @@ unsigned char matmul_id_f32_fp32_data[] = {
 0xa9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t matmul_id_f32_fp32_len = 10680;
+const uint64_t matmul_id_f32_f32_fp32_len = 10680;
 
 unsigned char matmul_id_q2_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -36947,9 +40675,9 @@ unsigned char matmul_id_q2_k_f32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -37060,7 +40788,7 @@ unsigned char matmul_id_q2_k_f32_data[] = {
 0x72,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x71,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x72,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x74,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x73,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x90,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -37092,7 +40820,7 @@ unsigned char matmul_id_q2_k_f32_data[] = {
 0xc8,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xcb,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xce,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -37262,7 +40990,7 @@ unsigned char matmul_id_q2_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -37303,487 +41031,485 @@ unsigned char matmul_id_q2_k_f32_data[] = {
 0x18,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x16,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x2c,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x2f,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x2c,0x01,0x00,0x00,
-0x33,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
-0x33,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x35,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x1d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x35,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x2c,0x01,0x00,0x00,
-0x3a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x3a,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,0x41,0x00,0x07,0x00,
-0x41,0x01,0x00,0x00,0x42,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x24,0x01,0x00,0x00,0x43,0x01,0x00,0x00,
-0x42,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x3d,0x01,0x00,0x00,
-0x44,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0xcf,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x70,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0xcf,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x1d,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x1d,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
-0x4f,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x1d,0x01,0x00,0x00,
-0x53,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x74,0x03,0x00,0x00,
-0x70,0x00,0x04,0x00,0x3d,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
-0x53,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x3d,0x01,0x00,0x00,
-0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0xcf,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x44,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,
-0x59,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
-0x5b,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
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+0x6b,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xae,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb2,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0xae,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
+0x0b,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xb9,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,0x05,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xbb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb9,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xba,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x11,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x11,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xc8,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xce,0x02,0x00,0x00,
+0xc0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd6,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd9,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x11,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x02,0x00,0x00,0x09,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0x11,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xeb,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0xeb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xb7,0x01,0x00,0x00,
+0xed,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xed,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xef,0x02,0x00,0x00,0x11,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x97,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x97,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,
+0x09,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x96,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x08,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q2_k_f32_len = 11712;
+const uint64_t matmul_id_q2_k_f32_len = 11692;
 
 unsigned char matmul_id_q2_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -39957,9 +43683,9 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -40069,7 +43795,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x71,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x70,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x70,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x71,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -40100,7 +43826,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = {
 0xc4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xc3,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc7,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xca,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe5,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -40268,7 +43994,7 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0xff,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -40310,480 +44036,478 @@ unsigned char matmul_id_q2_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x0d,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x12,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x17,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
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+0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8d,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0x86,0x02,0x00,0x00,
+0xec,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x93,0x02,0x00,0x00,0x02,0x03,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x8f,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x93,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x02,0x03,0x00,0x00,
+0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,0x97,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,0x98,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0x1d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x83,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0xa0,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0x02,0x03,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x02,0x00,0x00,
-0x01,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xef,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
+0xa5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x04,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xea,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0x04,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa7,0x02,0x00,0x00,
+0xa8,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xab,0x02,0x00,0x00,0xa6,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x04,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xb2,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb2,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb4,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0x90,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xbd,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xc1,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xce,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0xce,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd2,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0x04,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe0,0x02,0x00,0x00,0x02,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xb5,0x01,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0x15,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xe6,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe8,0x02,0x00,0x00,0x0a,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x04,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x90,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0x02,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x01,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q2_k_f32_fp32_len = 11592;
+const uint64_t matmul_id_q2_k_f32_fp32_len = 11572;
 
 unsigned char matmul_id_q3_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -40932,9 +44656,9 @@ unsigned char matmul_id_q3_k_f32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -41046,7 +44770,7 @@ unsigned char matmul_id_q3_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0xf1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xf3,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0xf2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0xf2,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xf3,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x10,0x02,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -41078,7 +44802,7 @@ unsigned char matmul_id_q3_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0x48,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
 0x47,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4b,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x69,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -41246,7 +44970,7 @@ unsigned char matmul_id_q3_k_f32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x82,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -41288,641 +45012,640 @@ unsigned char matmul_id_q3_k_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x98,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x13,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x13,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x14,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x22,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x12,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x29,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x1d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x26,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x2f,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x2f,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
-0x35,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x35,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
-0x5b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x01,0x00,0x00,
-0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x47,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x4b,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x48,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
-0x53,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x3a,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x56,0x01,0x00,0x00,0xb5,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
-0x14,0x00,0x00,0x00,0x59,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0x58,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x5a,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x39,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x5b,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x60,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x5d,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x74,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x5f,0x01,0x00,0x00,
-0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x63,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x48,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x63,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
-0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
-0x66,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x68,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x48,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x6b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
-0x6d,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x3a,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,
-0xaa,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6f,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x71,0x01,0x00,0x00,
-0x70,0x01,0x00,0x00,0xb5,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
-0x14,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x71,0x01,0x00,0x00,
-0x58,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x73,0x01,0x00,0x00,0x68,0x01,0x00,0x00,0x72,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x60,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x74,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
-0x76,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x79,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x76,0x01,0x00,0x00,0x78,0x01,0x00,0x00,
-0x8d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x01,0x00,0x00,
-0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x48,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x7c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
-0x7e,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x3a,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,0x7e,0x01,0x00,0x00,
-0x58,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x80,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x81,0x01,0x00,0x00,0x80,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,0x85,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x25,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x25,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,
+0x14,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x30,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x39,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x35,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x38,0x01,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x47,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
 0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xaa,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x3a,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0x85,0x01,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,0x87,0x01,0x00,0x00,
-0x86,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00,0x87,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x89,0x01,0x00,0x00,
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+0x84,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x76,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x76,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_id_q3_k_f32_len = 13616;
+const uint64_t matmul_id_q3_k_f32_len = 13596;
 
 unsigned char matmul_id_q3_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -44417,9 +48140,9 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -44531,7 +48254,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0xef,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf1,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xf1,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x0e,0x02,0x00,0x00,
@@ -44562,7 +48285,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x44,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
 0x43,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x47,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x65,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -44729,7 +48452,7 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = {
 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x7b,0x03,0x00,0x00,
 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
@@ -44770,635 +48493,634 @@ unsigned char matmul_id_q3_k_f32_fp32_data[] = {
 0x55,0x00,0x00,0x00,0x8d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x91,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x10,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x15,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
-0x26,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x35,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x38,0x01,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x20,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,
-0x52,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x52,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
-0x14,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
-0xb5,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x59,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0xc5,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x39,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x5b,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x60,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x5d,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0x74,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x5f,0x01,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x63,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x20,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,
-0x64,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x63,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x65,0x01,0x00,0x00,
-0x64,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x68,0x01,0x00,0x00,
-0x67,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x1d,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,
-0x6c,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,
-0x6c,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
-0x70,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
-0x14,0x00,0x00,0x00,0x71,0x01,0x00,0x00,0x70,0x01,0x00,0x00,
-0xb5,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x72,0x01,0x00,0x00,0x71,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0xc5,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x73,0x01,0x00,0x00,
-0x68,0x01,0x00,0x00,0x72,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x60,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x74,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x76,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x79,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x76,0x01,0x00,0x00,0x78,0x01,0x00,0x00,0x8d,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x78,0x01,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x48,0x01,0x00,0x00,
-0x7d,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,
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+0x58,0x03,0x00,0x00,0x56,0x03,0x00,0x00,0x86,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,
+0x7d,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5c,0x03,0x00,0x00,0x5a,0x03,0x00,0x00,
+0x80,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5e,0x03,0x00,0x00,0x5c,0x03,0x00,0x00,0x5d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x60,0x03,0x00,0x00,
+0x7e,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x61,0x03,0x00,0x00,0x5e,0x03,0x00,0x00,
+0x60,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x63,0x03,0x00,0x00,0x61,0x03,0x00,0x00,0x86,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x64,0x03,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x63,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x65,0x03,0x00,0x00,0x64,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x35,0x02,0x00,0x00,0x66,0x03,0x00,0x00,
+0x45,0x03,0x00,0x00,0x15,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x66,0x03,0x00,0x00,0x65,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x68,0x03,0x00,0x00,
+0x86,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x3d,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x28,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x28,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6a,0x03,0x00,0x00,0x80,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x25,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x27,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x10,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x10,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6c,0x03,0x00,0x00,0x7e,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0d,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6e,0x03,0x00,0x00,
+0x7d,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x05,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_id_q3_k_f32_fp32_len = 13496;
+const uint64_t matmul_id_q3_k_f32_fp32_len = 13476;
 
 unsigned char matmul_id_q4_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -45540,9 +49262,9 @@ unsigned char matmul_id_q4_0_f32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -45643,7 +49365,7 @@ unsigned char matmul_id_q4_0_f32_data[] = {
 0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x41,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x41,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x42,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -45675,7 +49397,7 @@ unsigned char matmul_id_q4_0_f32_data[] = {
 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x96,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb8,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -45845,7 +49567,7 @@ unsigned char matmul_id_q4_0_f32_data[] = {
 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
@@ -45886,7 +49608,7 @@ unsigned char matmul_id_q4_0_f32_data[] = {
 0x55,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0xe9,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
@@ -48385,9 +52107,9 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -48487,7 +52209,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
@@ -48518,7 +52240,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x93,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x92,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x99,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -48687,7 +52409,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -48728,7 +52450,7 @@ unsigned char matmul_id_q4_0_f32_fp32_data[] = {
 0xde,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
@@ -49301,9 +53023,9 @@ unsigned char matmul_id_q4_1_f32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -49403,7 +53125,7 @@ unsigned char matmul_id_q4_1_f32_data[] = {
 0x46,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x47,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x48,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x64,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -49435,7 +53157,7 @@ unsigned char matmul_id_q4_1_f32_data[] = {
 0x9c,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x9f,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xa2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xbd,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -49603,7 +53325,7 @@ unsigned char matmul_id_q4_1_f32_data[] = {
 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
@@ -49644,7 +53366,7 @@ unsigned char matmul_id_q4_1_f32_data[] = {
 0x55,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0xee,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
@@ -52162,9 +55884,9 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -52264,7 +55986,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x43,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x44,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x44,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x45,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -52295,7 +56017,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = {
 0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x97,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x9b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x9e,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -52462,7 +56184,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -52503,7 +56225,7 @@ unsigned char matmul_id_q4_1_f32_fp32_data[] = {
 0xe3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
@@ -53085,9 +56807,9 @@ unsigned char matmul_id_q4_k_f32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -53197,7 +56919,7 @@ unsigned char matmul_id_q4_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0xac,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xaf,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xcb,0x01,0x00,0x00,
@@ -53229,7 +56951,7 @@ unsigned char matmul_id_q4_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x03,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x02,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x06,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x09,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x02,0x00,0x00,
@@ -53398,7 +57120,7 @@ unsigned char matmul_id_q4_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -53439,557 +57161,555 @@ unsigned char matmul_id_q4_k_f32_data[] = {
 0x51,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x55,0x03,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x14,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0x14,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x2d,0x01,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x22,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x1e,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
-0x2f,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
-0x33,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x33,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
-0x4f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x34,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x3a,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
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+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xd9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0x41,0x03,0x00,0x00,
+0x5d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xc5,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,
+0xe4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xd0,0x02,0x00,0x00,0x2c,0x03,0x00,0x00,0xea,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xed,0x02,0x00,0x00,
+0x44,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe9,0x02,0x00,0x00,0xea,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xed,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,
+0xe5,0x02,0x00,0x00,0x44,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
+0x3e,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf4,0x02,0x00,0x00,
+0xf5,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0xf1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0xfb,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xfd,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x03,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xff,0x02,0x00,0x00,0xfe,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x03,0x03,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfe,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x09,0x03,0x00,0x00,0xfb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x09,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x13,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x10,0x03,0x00,0x00,
+0xfb,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x11,0x03,0x00,0x00,0x10,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x12,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x14,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,
+0x11,0x03,0x00,0x00,0x14,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x16,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x15,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x18,0x03,0x00,0x00,0x16,0x03,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,
+0x18,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,0x41,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x1c,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x20,0x03,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x1f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x22,0x03,0x00,0x00,0x42,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x23,0x03,0x00,0x00,0x20,0x03,0x00,0x00,0x22,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x03,0x00,0x00,
+0x23,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x26,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x25,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x27,0x03,0x00,0x00,0x26,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xf2,0x01,0x00,0x00,0x28,0x03,0x00,0x00,0x07,0x03,0x00,0x00,
+0x15,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x28,0x03,0x00,0x00,0x27,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xfd,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xff,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xea,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xea,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x03,0x00,0x00,
+0x44,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x42,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xca,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x30,0x03,0x00,0x00,0x41,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x31,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q4_k_f32_len = 12544;
+const uint64_t matmul_id_q4_k_f32_len = 12524;
 
 unsigned char matmul_id_q4_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -56304,9 +60024,9 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -56417,7 +60137,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = {
 0xab,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xac,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xab,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xad,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xac,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc9,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -56447,7 +60167,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xff,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xfe,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x02,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x20,0x02,0x00,0x00,
@@ -56614,7 +60334,7 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x38,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -56656,550 +60376,548 @@ unsigned char matmul_id_q4_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x4e,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
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+0xbd,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,
+0xa3,0x00,0x00,0x00,0xbd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x29,0x03,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x3a,0x03,0x00,0x00,0xcb,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xc2,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xc6,0x02,0x00,0x00,
+0xc1,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xc1,0x02,0x00,0x00,0x27,0x03,0x00,0x00,0xcb,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xce,0x02,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x42,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xca,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xce,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x43,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd5,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0xc9,0x02,0x00,0x00,0x25,0x03,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
+0x3d,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe2,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe6,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0xde,0x02,0x00,0x00,0x3d,0x03,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xed,0x02,0x00,0x00,0xea,0x02,0x00,0x00,
+0x37,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xef,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xed,0x02,0x00,0x00,
+0xee,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0xf4,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xef,0x02,0x00,0x00,0x23,0x03,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x43,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xf8,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfc,0x02,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf7,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0xf4,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0x02,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x05,0x03,0x00,0x00,0x13,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x05,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x07,0x03,0x00,0x00,0x03,0x03,0x00,0x00,0x06,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x09,0x03,0x00,0x00,
+0xf4,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x07,0x03,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x11,0x03,0x00,0x00,0x43,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x03,0x00,0x00,0x15,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00,
+0x17,0x03,0x00,0x00,0x18,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x19,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x43,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0x1f,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x20,0x03,0x00,0x00,0x1f,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xf0,0x01,0x00,0x00,0x21,0x03,0x00,0x00,0x00,0x03,0x00,0x00,
+0x15,0x00,0x00,0x00,0x13,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x21,0x03,0x00,0x00,0x20,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x23,0x03,0x00,0x00,0x43,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x03,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x27,0x03,0x00,0x00,0x3b,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xca,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x29,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x2a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q4_k_f32_fp32_len = 12424;
+const uint64_t matmul_id_q4_k_f32_fp32_len = 12404;
 
 unsigned char matmul_id_q5_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -57344,9 +61062,9 @@ unsigned char matmul_id_q5_0_f32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -57453,7 +61171,7 @@ unsigned char matmul_id_q5_0_f32_data[] = {
 0x69,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x68,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x87,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -57485,7 +61203,7 @@ unsigned char matmul_id_q5_0_f32_data[] = {
 0xbf,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xbe,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe0,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -57655,7 +61373,7 @@ unsigned char matmul_id_q5_0_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0xfd,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -57696,7 +61414,7 @@ unsigned char matmul_id_q5_0_f32_data[] = {
 0x0f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
@@ -60314,9 +64032,9 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -60422,7 +64140,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x66,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x67,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x67,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x68,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -60453,7 +64171,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = {
 0xbb,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xba,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xbe,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc1,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xdc,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
@@ -60621,7 +64339,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -60663,7 +64381,7 @@ unsigned char matmul_id_q5_0_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -61271,9 +64989,9 @@ unsigned char matmul_id_q5_1_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -61375,7 +65093,7 @@ unsigned char matmul_id_q5_1_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x83,0x01,0x00,0x00,
@@ -61407,7 +65125,7 @@ unsigned char matmul_id_q5_1_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbb,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xba,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbe,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc1,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xdc,0x01,0x00,0x00,
@@ -61576,7 +65294,7 @@ unsigned char matmul_id_q5_1_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -61617,7 +65335,7 @@ unsigned char matmul_id_q5_1_f32_data[] = {
 0x0b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
@@ -64213,9 +67931,9 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -64318,7 +68036,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = {
 0x63,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x64,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x63,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x65,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x81,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -64348,7 +68066,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb7,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xb6,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xba,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xbd,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd8,0x01,0x00,0x00,
@@ -64515,7 +68233,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0xf2,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -64557,7 +68275,7 @@ unsigned char matmul_id_q5_1_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -65164,9 +68882,9 @@ unsigned char matmul_id_q5_k_f32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -65279,7 +68997,7 @@ unsigned char matmul_id_q5_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0xd1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd3,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd4,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xd3,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,
@@ -65311,7 +69029,7 @@ unsigned char matmul_id_q5_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x28,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x27,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2b,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2e,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x49,0x02,0x00,0x00,
@@ -65480,7 +69198,7 @@ unsigned char matmul_id_q5_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x64,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -65521,595 +69239,593 @@ unsigned char matmul_id_q5_k_f32_data[] = {
 0x76,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x7a,0x03,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x14,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0x14,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x28,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x22,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x3a,0x01,0x00,0x00,
-0x3b,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x2f,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x3c,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
-0x40,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x42,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x40,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
-0x5a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x41,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x46,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x19,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
+0x27,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x28,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x07,0x00,
+0x3a,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x2f,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x2b,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x42,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x40,0x01,0x00,0x00,
+0x41,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x41,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x46,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x22,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x49,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x14,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
+0x28,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x22,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x4d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x52,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x46,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
 0x38,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x22,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
-0x48,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
-0x14,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
+0x9a,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x22,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x14,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
 0x4b,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x28,0x01,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x22,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0x16,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x46,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x52,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
-0x55,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x72,0x00,0x04,0x00,0x28,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0x57,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
-0x59,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x42,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x5a,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
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-0x06,0x00,0x00,0x00,0x53,0x03,0x00,0x00,0x67,0x03,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x55,0x03,0x00,0x00,
-0x66,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xec,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x56,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x56,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
+0x0c,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x69,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x51,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x12,0x03,0x00,0x00,0x69,0x03,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x0e,0x03,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x12,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x16,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,
+0x69,0x03,0x00,0x00,0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x19,0x03,0x00,0x00,0x16,0x03,0x00,0x00,0x63,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x1b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x19,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,
+0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0x1f,0x03,0x00,0x00,0x90,0x00,0x00,0x00,0x16,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,0x20,0x03,0x00,0x00,
+0x1f,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x22,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x22,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x6f,0x03,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1b,0x03,0x00,0x00,0x4f,0x03,0x00,0x00,0x23,0x03,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x28,0x03,0x00,0x00,
+0x6f,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x24,0x03,0x00,0x00,0x23,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x28,0x03,0x00,0x00,0x23,0x03,0x00,0x00,
+0x24,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x23,0x03,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x20,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0x31,0x03,0x00,0x00,
+0x13,0x00,0x00,0x00,0x30,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x32,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x32,0x03,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0x35,0x03,0x00,0x00,0x20,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x36,0x03,0x00,0x00,0x35,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x13,0x00,0x00,0x00,
+0x37,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x36,0x03,0x00,0x00,
+0x39,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x33,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x3b,0x03,0x00,0x00,0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,
+0x6f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x66,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,
+0x41,0x03,0x00,0x00,0x69,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x45,0x03,0x00,0x00,0x43,0x03,0x00,0x00,
+0x44,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x47,0x03,0x00,0x00,0x67,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x45,0x03,0x00,0x00,0x47,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,0x48,0x03,0x00,0x00,
+0x6f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0x4b,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x4b,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x17,0x02,0x00,0x00,
+0x4d,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x4d,0x03,0x00,0x00,
+0x4c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x6f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x22,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x24,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x51,0x03,0x00,0x00,0x69,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0c,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x53,0x03,0x00,0x00,
+0x67,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xef,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xef,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x55,0x03,0x00,0x00,0x66,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xec,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x56,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x56,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q5_k_f32_len = 13068;
+const uint64_t matmul_id_q5_k_f32_len = 13048;
 
 unsigned char matmul_id_q5_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -68514,9 +72230,9 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -68630,7 +72346,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = {
 0xd0,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xcf,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xd1,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xd0,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xd2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xd1,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xee,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -68660,7 +72376,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x24,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x23,0x02,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x27,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x2a,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x45,0x02,0x00,0x00,
@@ -68827,7 +72543,7 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x5d,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -68869,588 +72585,586 @@ unsigned char matmul_id_q5_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x73,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
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+0x06,0x00,0x00,0x00,0x3e,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x40,0x03,0x00,0x00,0x60,0x03,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x41,0x03,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x40,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x41,0x03,0x00,0x00,
+0x68,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0x44,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,0x43,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x45,0x03,0x00,0x00,
+0x44,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x15,0x02,0x00,0x00,
+0x46,0x03,0x00,0x00,0x25,0x03,0x00,0x00,0x15,0x00,0x00,0x00,
+0x38,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x46,0x03,0x00,0x00,
+0x45,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x48,0x03,0x00,0x00,0x68,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1b,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1d,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,0x62,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x05,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x60,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xed,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4e,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q5_k_f32_fp32_len = 12948;
+const uint64_t matmul_id_q5_k_f32_fp32_len = 12928;
 
 unsigned char matmul_id_q6_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -69599,9 +73313,9 @@ unsigned char matmul_id_q6_k_f32_data[] = {
 0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -69713,7 +73427,7 @@ unsigned char matmul_id_q6_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x95,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x96,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x96,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x97,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -69745,7 +73459,7 @@ unsigned char matmul_id_q6_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0xec,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xeb,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xef,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x0d,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -69913,7 +73627,7 @@ unsigned char matmul_id_q6_k_f32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x26,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -69955,526 +73669,525 @@ unsigned char matmul_id_q6_k_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
-0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x1b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x28,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x15,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
-0x30,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x3f,0x01,0x00,0x00,
-0x40,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xb5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x38,0x01,0x00,0x00,0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
-0x41,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x45,0x01,0x00,0x00,
-0x46,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x36,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
-0x46,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
-0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
-0xcf,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x42,0x01,0x00,0x00,
-0x48,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x53,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x33,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x58,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x33,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
-0x55,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
-0x5a,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x53,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
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+0xb3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00,
+0x28,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1a,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_id_q6_k_f32_len = 12236;
+const uint64_t matmul_id_q6_k_f32_len = 12216;
 
 unsigned char matmul_id_q6_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -72739,9 +76452,9 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -72853,7 +76566,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x94,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x93,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x95,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x95,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,
@@ -72884,7 +76597,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0xe8,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xe7,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xee,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x09,0x02,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -73051,7 +76764,7 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = {
 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x1f,0x03,0x00,0x00,
 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
@@ -73092,520 +76805,519 @@ unsigned char matmul_id_q6_k_f32_fp32_data[] = {
 0x55,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x35,0x03,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
+0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
+0x1b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x14,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x17,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x31,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
-0x41,0x00,0x07,0x00,0x3f,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x28,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0x28,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x29,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x15,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x3f,0x01,0x00,0x00,
+0x40,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xb5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x38,0x01,0x00,0x00,0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
+0x41,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x45,0x01,0x00,0x00,
+0x46,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x36,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
+0x46,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0xcf,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x42,0x01,0x00,0x00,
+0x48,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x53,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x33,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x58,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x33,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
+0x55,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x14,0x00,0x00,0x00,
+0x5d,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x53,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
 0x3d,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xb5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x38,0x01,0x00,0x00,
-0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0xcf,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x45,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0x46,0x00,0x00,0x00,
 0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x05,0x03,0x00,0x00,0x02,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,
-0x05,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
-0xd8,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0xd5,0x00,0x00,0x00,
-0x07,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
-0x09,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
-0xd9,0x01,0x00,0x00,0x0a,0x03,0x00,0x00,0xe9,0x02,0x00,0x00,
-0x15,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,
-0x24,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x10,0x03,0x00,0x00,0x22,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xb3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00,0x21,0x03,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x13,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x13,0x03,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0xbf,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,
+0x21,0x03,0x00,0x00,0x41,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc4,0x02,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xc3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x24,0x03,0x00,0x00,
+0x20,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,0x0e,0x03,0x00,0x00,
+0xcc,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0xcf,0x02,0x00,0x00,0x24,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xcb,0x02,0x00,0x00,0xcc,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcf,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x24,0x03,0x00,0x00,
+0xae,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0x1e,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xd8,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xd6,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xd8,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x90,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x2a,0x03,0x00,0x00,0x20,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x0c,0x03,0x00,0x00,0xe0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x44,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe1,0x02,0x00,0x00,
+0xe0,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe5,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,0x51,0x00,0x05,0x00,
+0x8b,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0xeb,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x16,0x00,0x00,0x00,0xee,0x02,0x00,0x00,0x13,0x00,0x00,0x00,
+0xed,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xef,0x02,0x00,0x00,0xee,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0xdd,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,
+0xf2,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,
+0x21,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0xfe,0x02,0x00,0x00,
+0x24,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x03,0x00,0x00,0x00,0x03,0x00,0x00,0x01,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0x22,0x03,0x00,0x00,0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x05,0x03,0x00,0x00,0x02,0x03,0x00,0x00,
+0x04,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x07,0x03,0x00,0x00,0x05,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x09,0x03,0x00,0x00,0x08,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd9,0x01,0x00,0x00,0x0a,0x03,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x15,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
+0x2a,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x24,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x22,0x03,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xac,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00,
+0x21,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xab,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x13,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x13,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_id_q6_k_f32_fp32_len = 12116;
+const uint64_t matmul_id_q6_k_f32_fp32_len = 12096;
 
 unsigned char matmul_id_q8_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -73747,9 +77459,9 @@ unsigned char matmul_id_q8_0_f32_data[] = {
 0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
@@ -73849,7 +77561,7 @@ unsigned char matmul_id_q8_0_f32_data[] = {
 0x41,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x42,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x43,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -73882,7 +77594,7 @@ unsigned char matmul_id_q8_0_f32_data[] = {
 0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x97,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -74050,7 +77762,7 @@ unsigned char matmul_id_q8_0_f32_data[] = {
 0xb4,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0xd4,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -74092,448 +77804,446 @@ unsigned char matmul_id_q8_0_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x09,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x09,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x16,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
-0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x1f,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
-0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x14,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x41,0x00,0x08,0x00,0x1f,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x16,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
 0x14,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0d,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x72,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x1a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0xcf,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0c,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x37,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x38,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0xcf,0x00,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x37,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x3e,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0xe6,0x02,0x00,0x00,0x43,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x47,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x47,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xe7,0x02,0x00,0x00,0x20,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0x9a,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x6b,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0xe7,0x02,0x00,0x00,
-0xa2,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x49,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x4d,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x48,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0xa3,0x00,0x00,0x00,
-0x5f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0xe7,0x02,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0xd3,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x59,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x57,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x8c,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x58,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x97,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x90,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
-0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x15,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x1f,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0x9a,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x0d,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x14,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x1f,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x0d,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x14,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0xcf,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x1a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x23,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x1a,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x19,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0xcf,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
+0x35,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x37,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x38,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
+0x01,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
+0xcf,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x37,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3e,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0xe6,0x02,0x00,0x00,0x43,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x47,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x47,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xa2,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x49,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x4d,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
+0x49,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
+0xa3,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x52,0x01,0x00,0x00,
+0xe7,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x57,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0xd3,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x59,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x57,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
+0x8c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x58,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x97,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x90,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
+0x5f,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
+0x67,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6a,0x01,0x00,0x00,0x68,0x01,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x72,0x01,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x73,0x01,0x00,0x00,0x72,0x01,0x00,0x00,
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+0x71,0x02,0x00,0x00,0x46,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x72,0x02,0x00,0x00,
+0x6f,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x76,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xf2,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x77,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0x76,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x79,0x02,0x00,0x00,
+0x4a,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,0x77,0x02,0x00,0x00,
+0x79,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7c,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0x20,0x00,0x00,0x00,
+0x65,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,0x82,0x02,0x00,0x00,
+0xd9,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x7e,0x02,0x00,0x00,0x7f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x82,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,
+0x7e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7d,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x86,0x02,0x00,0x00,
+0x7a,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,0xae,0x00,0x05,0x00,
+0x6b,0x00,0x00,0x00,0x89,0x02,0x00,0x00,0x86,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0x8b,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x89,0x02,0x00,0x00,
+0x8a,0x02,0x00,0x00,0x8b,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8a,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x97,0x00,0x00,0x00,0x8f,0x02,0x00,0x00,0x90,0x00,0x00,0x00,
+0x86,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
+0x90,0x02,0x00,0x00,0x8f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x92,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x92,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x20,0x00,0x00,0x00,0x8b,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x93,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0x6b,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x44,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x94,0x02,0x00,0x00,0x93,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x98,0x02,0x00,0x00,
+0x93,0x02,0x00,0x00,0x94,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x93,0x02,0x00,0x00,0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x90,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x9e,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,
+0xa1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x90,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,
+0xaa,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xad,0x02,0x00,0x00,0xab,0x02,0x00,0x00,0x72,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
+0xad,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0xd9,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xb8,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xba,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xbc,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x87,0x01,0x00,0x00,0xbd,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xbd,0x02,0x00,0x00,0xbc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x92,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x94,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xd9,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x7c,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x67,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x67,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc3,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x64,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x66,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5f,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc5,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x5c,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q8_0_f32_len = 11080;
+const uint64_t matmul_id_q8_0_f32_len = 11060;
 
 unsigned char matmul_id_q8_0_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -76603,9 +80313,9 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x4f,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x54,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
@@ -76704,7 +80414,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x3f,0x01,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x40,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -76736,7 +80446,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x93,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x97,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x4e,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -76903,7 +80613,7 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = {
 0xb7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
 0x20,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
@@ -76944,442 +80654,440 @@ unsigned char matmul_id_q8_0_f32_fp32_data[] = {
 0x55,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0xe3,0x02,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x50,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xf8,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x16,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x15,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x15,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0c,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
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+0x97,0x02,0x00,0x00,0x89,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0x97,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x13,0x00,0x00,0x00,0x99,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9c,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x51,0x00,0x05,0x00,0x8b,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x89,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x16,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x13,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xa2,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,
+0x9f,0x02,0x00,0x00,0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
+0xa3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,0x6b,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,
+0xa6,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xac,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xae,0x02,0x00,0x00,
+0xac,0x02,0x00,0x00,0xad,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x44,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xae,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xd8,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xb5,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x85,0x01,0x00,0x00,0xb6,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
+0x15,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xb6,0x02,0x00,0x00,0xb5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8b,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x78,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,
+0xd2,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x75,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x60,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbc,0x02,0x00,0x00,0xd0,0x02,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5d,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5f,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x58,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x55,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbf,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_id_q8_0_f32_fp32_len = 10960;
+const uint64_t matmul_id_q8_0_f32_fp32_len = 10940;
 
 unsigned char matmul_q2_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -77524,9 +81232,9 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -77618,7 +81326,7 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x87,0x01,0x00,0x00,
@@ -77649,7 +81357,7 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xb5,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb6,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xd4,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -77780,7 +81488,7 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -77837,490 +81545,489 @@ unsigned char matmul_q2_k_f32_data[] = {
 0x02,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x03,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x02,0x01,0x00,0x00,0x03,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x10,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x22,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x22,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x13,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x22,0x01,0x00,0x00,
-0x30,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x16,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,
+0xd4,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0xde,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xe1,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0xe3,0x02,0x00,0x00,0xe2,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0xa1,0x01,0x00,0x00,0xe4,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xe4,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb1,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xae,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xf8,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
-0xe6,0x02,0x00,0x00,0xb1,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
-0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xb0,0x02,0x00,0x00,
-0xb1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xb4,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xaf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xb7,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,
-0xf8,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0xba,0x02,0x00,0x00,0xb7,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xbc,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xba,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
-0xbc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbb,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
-0xa4,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xc0,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xc1,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0xc2,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
-0xc1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0xc1,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
-0xaf,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xc5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xc3,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
-0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
-0xa4,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xce,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xd0,0x02,0x00,0x00,0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
-0xd0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd2,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
-0xd2,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd6,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,
-0xf8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd8,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xbb,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
-0xd8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xda,0x02,0x00,0x00,
-0xdb,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xde,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
-0xdc,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
-0xf8,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
-0xe2,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
-0xe2,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0xa1,0x01,0x00,0x00,
-0xe4,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
-0xd6,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xe4,0x02,0x00,0x00,
-0xe3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xb1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb1,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,
-0xf8,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb0,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
-0xf3,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x88,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0xb0,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x91,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,
+0xf4,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x90,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x89,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xec,0x02,0x00,0x00,0xf3,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x86,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_q2_k_f32_len = 11240;
+const uint64_t matmul_q2_k_f32_len = 11220;
 
 unsigned char matmul_q2_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -80379,9 +84086,9 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
@@ -80474,7 +84181,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x65,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x66,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x65,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x67,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x85,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -80503,7 +84210,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xb1,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xd0,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -80632,7 +84339,7 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -80690,483 +84397,482 @@ unsigned char matmul_q2_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xff,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,
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+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,
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+0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xb5,0x02,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,
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+0xb5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0xb4,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0xbe,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xbc,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xbe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
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+0xc6,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x14,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0xc6,0x02,0x00,0x00,0xc9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,
+0xca,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcd,0x02,0x00,0x00,0xcb,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xd1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xd3,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,0xed,0x02,0x00,0x00,
+0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
+0xd8,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xda,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0xdb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x9f,0x01,0x00,0x00,0xdd,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,
+0x35,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xdd,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xbe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaa,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaa,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
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-0xf1,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0xa0,0x02,0x00,0x00,
-0xdf,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0xad,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,
-0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xa9,0x02,0x00,0x00,
-0xaa,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xad,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xa8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,0x95,0x02,0x00,0x00,
-0xf1,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0xb3,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,0x37,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xb5,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xb3,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,
-0xb5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
-0x9d,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xb9,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xba,0x02,0x00,0x00,0xb9,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0xbb,0x02,0x00,0x00,0xb8,0x02,0x00,0x00,
-0xba,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0xc1,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
-0xa8,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xbe,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xbc,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
-0xbe,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
-0x9d,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0xc8,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
-0xc7,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xca,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
-0xc9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xcb,0x02,0x00,0x00,0x7d,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
-0xcb,0x02,0x00,0x00,0x95,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0xcd,0x02,0x00,0x00,
-0xf1,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd1,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0xbb,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x02,0x00,0x00,
-0xd1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
-0xd4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd7,0x02,0x00,0x00,0xed,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
-0xd5,0x02,0x00,0x00,0xd7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xda,0x02,0x00,0x00,0xd8,0x02,0x00,0x00,
-0xf1,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
-0xdb,0x02,0x00,0x00,0xc9,0x00,0x00,0x00,0xda,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,
-0xdb,0x02,0x00,0x00,0x41,0x00,0x06,0x00,0x9f,0x01,0x00,0x00,
-0xdd,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0x35,0x00,0x00,0x00,
-0xcf,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xdd,0x02,0x00,0x00,
-0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xbe,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xaa,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xaa,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
-0xf1,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xa7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa9,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xed,0x02,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x87,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x82,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x82,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
-0xec,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0xa9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x9f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x8a,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xed,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x87,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x82,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x82,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x02,0x00,0x00,0xec,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x7f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x81,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_q2_k_f32_fp32_len = 11120;
+const uint64_t matmul_q2_k_f32_fp32_len = 11100;
 
 unsigned char matmul_q3_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -81315,9 +85021,9 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -81411,7 +85117,7 @@ unsigned char matmul_q3_k_f32_data[] = {
 0xe7,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0xe6,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe8,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xe9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xe8,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x07,0x02,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -81441,7 +85147,7 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x31,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x35,0x02,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x36,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x39,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x54,0x02,0x00,0x00,
@@ -81570,7 +85276,7 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -81628,645 +85334,643 @@ unsigned char matmul_q3_k_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x82,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
-0x05,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x09,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x09,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x18,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
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-0x1c,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
-0x25,0x01,0x00,0x00,0xcf,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x25,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x2f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x06,0x00,0x00,0x00,0x54,0x03,0x00,0x00,0x52,0x03,0x00,0x00,
-0x1c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x56,0x03,0x00,0x00,0x54,0x03,0x00,0x00,0x74,0x03,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x58,0x03,0x00,0x00,
-0x6f,0x03,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,0x58,0x03,0x00,0x00,
-0x72,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x5c,0x03,0x00,0x00,0x5a,0x03,0x00,0x00,0x5b,0x03,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5e,0x03,0x00,0x00,
-0x70,0x03,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,0x5c,0x03,0x00,0x00,
-0x5e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x61,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,0x74,0x03,0x00,0x00,
-0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x62,0x03,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x61,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x63,0x03,0x00,0x00,0x62,0x03,0x00,0x00,
-0x41,0x00,0x06,0x00,0x21,0x02,0x00,0x00,0x64,0x03,0x00,0x00,
-0x49,0x03,0x00,0x00,0x35,0x00,0x00,0x00,0x56,0x03,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x64,0x03,0x00,0x00,0x63,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x45,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x45,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x31,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x31,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x66,0x03,0x00,0x00,0x74,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x2e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x30,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x29,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x29,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x68,0x03,0x00,0x00,
-0x72,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x26,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x28,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x11,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x11,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x6a,0x03,0x00,0x00,0x70,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x10,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x09,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x6c,0x03,0x00,0x00,0x6f,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
+0x28,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x11,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x11,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6a,0x03,0x00,0x00,0x70,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0e,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x10,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x09,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6c,0x03,0x00,0x00,
+0x6f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x06,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q3_k_f32_len = 13144;
+const uint64_t matmul_q3_k_f32_len = 13124;
 
 unsigned char matmul_q3_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -84647,9 +88351,9 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -84743,7 +88447,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0xe5,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0xe4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xe6,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0xe5,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0xe5,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xe6,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x05,0x02,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -84772,7 +88476,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x2d,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x31,0x02,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x35,0x02,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x50,0x02,0x00,0x00,
@@ -84900,7 +88604,7 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -84957,639 +88661,637 @@ unsigned char matmul_q3_k_f32_fp32_data[] = {
 0x74,0x00,0x00,0x00,0x77,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0x7b,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x06,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x02,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
-0xc4,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x18,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x2f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x2b,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x50,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x2e,0x01,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
-0x3f,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x3e,0x01,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x30,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x44,0x01,0x00,0x00,
-0x42,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x3e,0x01,0x00,0x00,
-0x48,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x30,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x48,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x30,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
-0x15,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x97,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
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-0x27,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x27,0x03,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x6d,0x03,0x00,0x00,
-0x3f,0x00,0x00,0x00,0x20,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,
-0x2a,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x2d,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,0x63,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0x29,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x2d,0x03,0x00,0x00,
-0x28,0x03,0x00,0x00,0x29,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x28,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x30,0x03,0x00,0x00,0x15,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x33,0x03,0x00,0x00,
-0x30,0x03,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x35,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x33,0x03,0x00,0x00,0x34,0x03,0x00,0x00,0x35,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x34,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x1d,0x03,0x00,0x00,
-0x6b,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x39,0x03,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
-0x39,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x3b,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x35,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x35,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
-0x3c,0x03,0x00,0x00,0x33,0x03,0x00,0x00,0x28,0x03,0x00,0x00,
-0x3b,0x03,0x00,0x00,0x34,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x3e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x3c,0x03,0x00,0x00,0x3d,0x03,0x00,0x00,0x3e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x3d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x46,0x03,0x00,0x00,0x1d,0x03,0x00,0x00,
-0x6b,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x48,0x03,0x00,0x00,0x14,0x00,0x00,0x00,0x47,0x03,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x49,0x03,0x00,0x00,
-0x48,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x4a,0x03,0x00,0x00,0x46,0x03,0x00,0x00,0x49,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,
-0xfd,0x02,0x00,0x00,0x4a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x4d,0x03,0x00,0x00,0x4b,0x03,0x00,0x00,
-0x15,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x4f,0x03,0x00,0x00,0x4d,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x51,0x03,0x00,0x00,
-0x68,0x03,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x53,0x03,0x00,0x00,0x51,0x03,0x00,0x00,
-0x6b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x55,0x03,0x00,0x00,0x53,0x03,0x00,0x00,0x54,0x03,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x57,0x03,0x00,0x00,
-0x69,0x03,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x58,0x03,0x00,0x00,0x55,0x03,0x00,0x00,
-0x57,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x5a,0x03,0x00,0x00,0x58,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,
-0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x5b,0x03,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x5c,0x03,0x00,0x00,0x5b,0x03,0x00,0x00,
-0x41,0x00,0x06,0x00,0x1f,0x02,0x00,0x00,0x5d,0x03,0x00,0x00,
-0x42,0x03,0x00,0x00,0x35,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x5d,0x03,0x00,0x00,0x5c,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x3e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x3e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,0x6d,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x27,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x29,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x22,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x61,0x03,0x00,0x00,
-0x6b,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x1f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x21,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x0a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x63,0x03,0x00,0x00,0x69,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x07,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x02,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x65,0x03,0x00,0x00,0x68,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xff,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
+0x21,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x63,0x03,0x00,0x00,0x69,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x02,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x02,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x65,0x03,0x00,0x00,
+0x68,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q3_k_f32_fp32_len = 13024;
+const uint64_t matmul_q3_k_f32_fp32_len = 13004;
 
 unsigned char matmul_q4_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -85731,9 +89433,9 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -85816,7 +89518,7 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x36,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x38,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x56,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -85846,7 +89548,7 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x80,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
@@ -85977,7 +89679,7 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -86034,7 +89736,7 @@ unsigned char matmul_q4_0_f32_data[] = {
 0x74,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0xd3,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
@@ -88421,9 +92123,9 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
@@ -88506,7 +92208,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x33,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x34,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x34,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x35,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -88535,7 +92237,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x7c,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x80,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x81,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x84,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,
@@ -88665,7 +92367,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -88722,7 +92424,7 @@ unsigned char matmul_q4_0_f32_fp32_data[] = {
 0xc8,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xcc,0x02,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
@@ -89299,9 +93001,9 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -89382,7 +93084,7 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
@@ -89413,7 +93115,7 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x89,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -89542,7 +93244,7 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -89599,7 +93301,7 @@ unsigned char matmul_q4_1_f32_data[] = {
 0x74,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0xd8,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
@@ -92007,9 +95709,9 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -92091,7 +95793,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x39,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x3b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x59,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -92120,7 +95822,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x85,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
@@ -92248,7 +95950,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -92305,7 +96007,7 @@ unsigned char matmul_q4_1_f32_fp32_data[] = {
 0xcd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
@@ -92891,9 +96593,9 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -92985,7 +96687,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0xa1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0xa2,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0xa2,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xa3,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xc2,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -93016,7 +96718,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xf1,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0f,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -93145,7 +96847,7 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -93202,561 +96904,559 @@ unsigned char matmul_q4_k_f32_data[] = {
 0x3b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
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+0xfb,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
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+0xfd,0x02,0x00,0x00,0xfa,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf7,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0xea,0x02,0x00,0x00,
+0xfd,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xfe,0x02,0x00,0x00,0xff,0x02,0x00,0x00,0x00,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xff,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0xdf,0x02,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x14,0x00,0x00,0x00,0x09,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x0a,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x0b,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,
+0xbf,0x02,0x00,0x00,0x0c,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x2c,0x03,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x15,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
+0x2f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x03,0x00,0x00,0x15,0x03,0x00,0x00,0x16,0x03,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x19,0x03,0x00,0x00,
+0x2d,0x03,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x03,0x00,0x00,0x17,0x03,0x00,0x00,
+0x19,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1c,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x1d,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc3,0x00,0x00,0x00,0x1e,0x03,0x00,0x00,0x1d,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0xdc,0x01,0x00,0x00,0x1f,0x03,0x00,0x00,
+0x04,0x03,0x00,0x00,0x35,0x00,0x00,0x00,0x11,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x1f,0x03,0x00,0x00,0x1e,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x00,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x00,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xec,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xec,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x21,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xeb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x23,0x03,0x00,0x00,
+0x2f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcc,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x25,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcb,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc4,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0x2c,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc1,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xc3,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q4_k_f32_len = 12072;
+const uint64_t matmul_q4_k_f32_len = 12052;
 
 unsigned char matmul_q4_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -95956,9 +99656,9 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -96050,7 +99750,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc0,0x01,0x00,0x00,
@@ -96080,7 +99780,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xec,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xed,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xf0,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x0b,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -96207,7 +99907,7 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -96265,554 +99965,552 @@ unsigned char matmul_q4_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x13,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x41,0x00,0x07,0x00,0x23,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x12,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x23,0x01,0x00,0x00,
+0x24,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x01,0x00,0x00,0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x14,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x25,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x2b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x29,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x2a,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
 0x21,0x01,0x00,0x00,0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x35,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x01,0x00,0x00,
-0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x14,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x2b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x29,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x2a,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
+0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x15,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
+0x35,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x37,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x19,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x30,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
 0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
-0x33,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
-0x72,0x00,0x04,0x00,0x37,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
-0x36,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
-0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x30,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x40,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
-0x41,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x37,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x42,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x44,0x01,0x00,0x00,
-0x43,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x2b,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x45,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x30,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x48,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x49,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x30,0x01,0x00,0x00,
-0x52,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
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+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdd,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,
+0x28,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xda,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x03,0x00,0x00,0x26,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xc2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x20,0x03,0x00,0x00,0x25,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xba,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbc,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q4_k_f32_fp32_len = 11952;
+const uint64_t matmul_q4_k_f32_fp32_len = 11932;
 
 unsigned char matmul_q5_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -96957,9 +100655,9 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -97049,7 +100747,7 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x5f,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x60,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x61,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7f,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -97079,7 +100777,7 @@ unsigned char matmul_q5_0_f32_data[] = {
 0xa9,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xb1,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xcc,0x01,0x00,0x00,
@@ -97210,7 +100908,7 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -97267,7 +100965,7 @@ unsigned char matmul_q5_0_f32_data[] = {
 0x74,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0xfe,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
@@ -99776,9 +103474,9 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
@@ -99868,7 +103566,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x5c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x5d,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -99897,7 +103595,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0xa5,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa9,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc8,0x01,0x00,0x00,
@@ -100027,7 +103725,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -100084,7 +103782,7 @@ unsigned char matmul_q5_0_f32_fp32_data[] = {
 0xf3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
@@ -100695,9 +104393,9 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
@@ -100782,7 +104480,7 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x59,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x5a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x5a,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x5b,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -100813,7 +104511,7 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xa9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xac,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc7,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -100942,7 +104640,7 @@ unsigned char matmul_q5_1_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -100999,7 +104697,7 @@ unsigned char matmul_q5_1_f32_data[] = {
 0xf5,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
@@ -103485,9 +107183,9 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -103571,7 +107269,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x59,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x01,0x00,0x00,
@@ -103601,7 +107299,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xa5,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xa8,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc3,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -103728,7 +107426,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -103786,7 +107484,7 @@ unsigned char matmul_q5_1_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -104397,9 +108095,9 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -104494,7 +108192,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x06,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0xc6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xc8,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0xc7,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0xc7,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xc9,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0xc8,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -104525,7 +108223,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x15,0x02,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x16,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x19,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x34,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -104654,7 +108352,7 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
@@ -104711,598 +108409,597 @@ unsigned char matmul_q5_k_f32_data[] = {
 0x60,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x64,0x03,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
-0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x12,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
-0xc4,0x00,0x05,0x00,0x15,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x1e,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x18,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x30,0x01,0x00,0x00,
-0x31,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x25,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x38,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x36,0x01,0x00,0x00,0x37,0x01,0x00,0x00,
-0x50,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x37,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x3c,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,0x15,0x00,0x00,0x00,
+0x1d,0x01,0x00,0x00,0xcf,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x1e,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,
+0x1d,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x18,0x01,0x00,0x00,
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-0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0x10,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x09,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x48,0x03,0x00,0x00,0x54,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf1,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,
+0x52,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe9,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4c,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe8,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_q5_k_f32_len = 12596;
+const uint64_t matmul_q5_k_f32_len = 12576;
 
 unsigned char matmul_q5_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -107592,9 +111289,9 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -107689,7 +111386,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc5,0x01,0x00,0x00,
 0x51,0x00,0x00,0x00,0xc4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc6,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0xc5,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x84,0x00,0x00,0x00,0xc5,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0xc6,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xe5,0x01,0x00,0x00,
@@ -107719,7 +111416,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x11,0x02,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x12,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x15,0x02,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x30,0x02,0x00,0x00,0x84,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
@@ -107846,7 +111543,7 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -107904,591 +111601,590 @@ unsigned char matmul_q5_k_f32_fp32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x5d,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
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-0x15,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xcf,0x00,0x00,0x00,
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-0x41,0x00,0x07,0x00,0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
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+0x25,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
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+0x35,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x3d,0x03,0x00,0x00,0x3c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1e,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0a,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x4f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x07,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x07,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x4f,0x03,0x00,0x00,0x3f,0x00,0x00,0x00,0x00,0x03,0x00,0x00,
-0x3f,0x03,0x00,0x00,0x0a,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x4f,0x03,0x00,0x00,
-0x63,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x09,0x03,0x00,0x00,
-0x0a,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x0d,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x09,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0xf5,0x02,0x00,0x00,
-0x4f,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x13,0x03,0x00,0x00,0x10,0x03,0x00,0x00,0x37,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x15,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x13,0x03,0x00,0x00,0x14,0x03,0x00,0x00,
-0x15,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x14,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x18,0x03,0x00,0x00,
-0xfd,0x02,0x00,0x00,0x4d,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0x14,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x03,0x00,0x00,0x19,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
-0x1a,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x15,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x15,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
-0xc1,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
-0x08,0x03,0x00,0x00,0x1b,0x03,0x00,0x00,0x14,0x03,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x1e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x1c,0x03,0x00,0x00,0x1d,0x03,0x00,0x00,
-0x1e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x26,0x03,0x00,0x00,
-0xfd,0x02,0x00,0x00,0x4d,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x28,0x03,0x00,0x00,0x14,0x00,0x00,0x00,
-0x27,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x29,0x03,0x00,0x00,0x28,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,0x26,0x03,0x00,0x00,
-0x29,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x03,0x00,0x00,0xdd,0x02,0x00,0x00,0x2a,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2d,0x03,0x00,0x00,
-0x2b,0x03,0x00,0x00,0xf5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,0x2d,0x03,0x00,0x00,
-0x4f,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x31,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0xbb,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x33,0x03,0x00,0x00,
-0x31,0x03,0x00,0x00,0x4d,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x35,0x03,0x00,0x00,0x33,0x03,0x00,0x00,
-0x34,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x37,0x03,0x00,0x00,0x4b,0x03,0x00,0x00,0x63,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x38,0x03,0x00,0x00,
-0x35,0x03,0x00,0x00,0x37,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,0x38,0x03,0x00,0x00,
-0x4f,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
-0x3b,0x03,0x00,0x00,0xc9,0x00,0x00,0x00,0x3a,0x03,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,
-0x3b,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xff,0x01,0x00,0x00,
-0x3d,0x03,0x00,0x00,0x22,0x03,0x00,0x00,0x35,0x00,0x00,0x00,
-0x2f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x3d,0x03,0x00,0x00,
-0x3c,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x1e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x1e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x0a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x0a,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,
-0x4f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x07,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x09,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x02,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x41,0x03,0x00,0x00,0x4d,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x01,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xea,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xea,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x4b,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x45,0x03,0x00,0x00,
-0x4a,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x02,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x41,0x03,0x00,0x00,0x4d,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xff,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x01,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xea,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xea,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x43,0x03,0x00,0x00,
+0x4b,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe2,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x45,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe1,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t matmul_q5_k_f32_fp32_len = 12476;
+const uint64_t matmul_q5_k_f32_fp32_len = 12456;
 
 unsigned char matmul_q6_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -108637,9 +112333,9 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -108733,7 +112429,7 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x8b,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x8c,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x8d,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x8c,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xab,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -108763,7 +112459,7 @@ unsigned char matmul_q6_k_f32_data[] = {
 0xd5,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xda,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf8,0x01,0x00,0x00,
@@ -108892,7 +112588,7 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -108950,530 +112646,528 @@ unsigned char matmul_q6_k_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x26,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
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-0xd3,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd3,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xdb,0x02,0x00,0x00,0xc0,0x02,0x00,0x00,0x18,0x03,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
-0xdb,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xe0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xde,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0xe0,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
-0x16,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0xe4,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
-0xe4,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0xe6,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe0,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
-0xe7,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,
-0xe6,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xe9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
-0x16,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0xf3,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xf2,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
-0xf3,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf5,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
-0xa8,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
-0xc0,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfa,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0x18,0x03,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
-0x13,0x03,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,
-0x16,0x03,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x00,0x03,0x00,0x00,0xfe,0x02,0x00,0x00,0xff,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
-0x14,0x03,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0x00,0x03,0x00,0x00,
-0x02,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x05,0x03,0x00,0x00,0x03,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
-0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x05,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x06,0x03,0x00,0x00,
-0x41,0x00,0x06,0x00,0xc5,0x01,0x00,0x00,0x08,0x03,0x00,0x00,
-0xed,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0xfa,0x02,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x08,0x03,0x00,0x00,0x07,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd2,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xd4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xcd,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcd,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,
-0x16,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xca,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xcc,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xb5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0e,0x03,0x00,0x00,0x14,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xb4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xad,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xaa,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
+0xcc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb5,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,0x14,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb4,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xad,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x10,0x03,0x00,0x00,
+0x13,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xaa,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q6_k_f32_len = 11764;
+const uint64_t matmul_q6_k_f32_len = 11744;
 
 unsigned char matmul_q6_k_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -111624,9 +115318,9 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -111720,7 +115414,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x88,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x89,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x89,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x8a,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xa9,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -111749,7 +115443,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0xd1,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xd5,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd6,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,
@@ -111877,7 +115571,7 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -111934,524 +115628,522 @@ unsigned char matmul_q6_k_f32_fp32_data[] = {
 0x74,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0x1f,0x03,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
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-0xf9,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x02,0x00,0x00,
-0x0d,0x03,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
-0xfb,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfe,0x02,0x00,0x00,0xfc,0x02,0x00,0x00,0x11,0x03,0x00,0x00,
-0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0xff,0x02,0x00,0x00,
-0xc9,0x00,0x00,0x00,0xfe,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0xff,0x02,0x00,0x00,
-0x41,0x00,0x06,0x00,0xc3,0x01,0x00,0x00,0x01,0x03,0x00,0x00,
-0xe6,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x01,0x03,0x00,0x00,0x00,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe2,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xce,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xce,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0x11,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xcb,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xcd,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xc6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc6,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x05,0x03,0x00,0x00,
-0x0f,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xc3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xc5,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xae,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x07,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xab,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
-0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa3,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
+0xc5,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xae,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xae,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x0d,0x03,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xab,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xad,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa6,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa6,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x09,0x03,0x00,0x00,
+0x0c,0x03,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xa5,0x02,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q6_k_f32_fp32_len = 11644;
+const uint64_t matmul_q6_k_f32_fp32_len = 11624;
 
 unsigned char matmul_q8_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -112593,9 +116285,9 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
@@ -112678,7 +116370,7 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x37,0x01,0x00,0x00,0x51,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x38,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x39,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x57,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
@@ -112708,7 +116400,7 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x81,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x89,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,
@@ -112837,7 +116529,7 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x94,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
 0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x14,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,
@@ -112895,452 +116587,450 @@ unsigned char matmul_q8_0_f32_data[] = {
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xff,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0d,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0x18,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
-0x41,0x00,0x08,0x00,0x15,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x0a,0x01,0x00,0x00,0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x03,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
-0x72,0x00,0x04,0x00,0x15,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
-0x1e,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
-0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x10,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0x20,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x10,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x02,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2d,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x28,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,
-0x32,0x01,0x00,0x00,0x23,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2d,0x01,0x00,0x00,
-0x34,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
-0xd0,0x02,0x00,0x00,0x39,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x3d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x3d,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xd1,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x84,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0xd1,0x02,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x3f,0x01,0x00,0x00,
-0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x43,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
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+0x99,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0xa6,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xb4,0x02,0x00,0x00,0xb3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x95,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x95,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x81,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb6,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x7e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x80,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x79,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,
+0xc4,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x76,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x61,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x61,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xba,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x60,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x59,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x59,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbc,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x56,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q8_0_f32_len = 10608;
+const uint64_t matmul_q8_0_f32_len = 10588;
 
 unsigned char matmul_q8_0_f32_aligned_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -115295,9 +118985,9 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x62,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
@@ -115380,7 +119070,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x51,0x00,0x00,0x00,
 0x34,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
-0x35,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
+0x35,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
 0x36,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
@@ -115409,7 +119099,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x7d,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x81,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,
 0x86,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,
@@ -115537,7 +119227,7 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x9a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x17,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xa3,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
@@ -115594,446 +119284,444 @@ unsigned char matmul_q8_0_f32_fp32_data[] = {
 0x74,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0xcd,0x02,0x00,0x00,0xeb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x6f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x0c,0x01,0x00,0x00,
-0x0d,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x02,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x15,0x01,0x00,0x00,
-0x16,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
-0x16,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x15,0x00,0x00,0x00,
-0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
-0xc3,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x00,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x15,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xff,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
+0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
+0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x02,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x0d,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
 0x35,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x03,0x01,0x00,0x00,
-0x1e,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x15,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0xc3,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x10,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x10,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0xc3,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2c,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x2d,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
-0xc3,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2c,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0xc9,0x02,0x00,0x00,0x37,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x3b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x3b,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0xca,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x80,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xc1,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0xca,0x02,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x3d,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x41,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x3c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,
-0x7e,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x47,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0xca,0x02,0x00,0x00,
-0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x48,0x01,0x00,0x00,
-0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x47,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x4c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x4a,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x4b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0xb9,0x02,0x00,0x00,
-0x79,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x8e,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x4c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
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+0xd9,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xec,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x30,0x02,0x00,0x00,0xd3,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x89,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8b,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x0c,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x81,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x32,0x02,0x00,0x00,
+0xb9,0x02,0x00,0x00,0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x37,0x02,0x00,0x00,
+0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x38,0x02,0x00,0x00,0x96,0x00,0x00,0x00,
+0x37,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x02,0x00,0x00,0x5a,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x02,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x3d,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x42,0x02,0x00,0x00,0x14,0x00,0x00,0x00,
+0x41,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x43,0x02,0x00,0x00,0x42,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x44,0x02,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x43,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x48,0x02,0x00,0x00,0x48,0x00,0x00,0x00,0x43,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x0d,0x00,0x00,0x00,0x4a,0x02,0x00,0x00,
+0x49,0x02,0x00,0x00,0x0c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4b,0x02,0x00,0x00,0x4a,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4c,0x02,0x00,0x00,
+0x48,0x02,0x00,0x00,0x4b,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4d,0x02,0x00,0x00,0x44,0x02,0x00,0x00,
+0x4c,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xba,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0x52,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x55,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0xbe,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x51,0x02,0x00,0x00,0x52,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x55,0x02,0x00,0x00,0x50,0x02,0x00,0x00,
+0x51,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x50,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x57,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xbb,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x50,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x5d,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x61,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x59,0x02,0x00,0x00,
+0x5a,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x5d,0x02,0x00,0x00,0x58,0x02,0x00,0x00,0x59,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x58,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x61,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,
+0x62,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x62,0x02,0x00,0x00,0x38,0x02,0x00,0x00,0x61,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x64,0x02,0x00,0x00,
+0x65,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x65,0x02,0x00,0x00,0x62,0x02,0x00,0x00,
+0x64,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x69,0x02,0x00,0x00,0xba,0x02,0x00,0x00,0xd8,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6a,0x02,0x00,0x00,
+0x3e,0x02,0x00,0x00,0x69,0x02,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x6c,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x6d,0x02,0x00,0x00,0x6a,0x02,0x00,0x00,0x6c,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x6f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x6f,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x3f,0x00,0x00,0x00,0x58,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0x72,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x75,0x02,0x00,0x00,0xbd,0x02,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x71,0x02,0x00,0x00,
+0x72,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x75,0x02,0x00,0x00,0x70,0x02,0x00,0x00,0x71,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x70,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x77,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x3f,0x00,0x00,0x00,0x70,0x02,0x00,0x00,0xaf,0x02,0x00,0x00,
+0x7a,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x7d,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x63,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x79,0x02,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x7d,0x02,0x00,0x00,
+0x78,0x02,0x00,0x00,0x79,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x78,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x80,0x02,0x00,0x00,0x65,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x83,0x02,0x00,0x00,
+0x80,0x02,0x00,0x00,0x37,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x85,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x83,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0x85,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x84,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x88,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x89,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x8a,0x02,0x00,0x00,
+0x89,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x88,0x02,0x00,0x00,0x8a,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x85,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x85,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0xc1,0x00,0x00,0x00,
+0x8c,0x02,0x00,0x00,0x83,0x02,0x00,0x00,0x78,0x02,0x00,0x00,
+0x8b,0x02,0x00,0x00,0x84,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x8e,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8c,0x02,0x00,0x00,0x8d,0x02,0x00,0x00,0x8e,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8d,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x96,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x98,0x02,0x00,0x00,0x14,0x00,0x00,0x00,0x97,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x99,0x02,0x00,0x00,
+0x98,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9a,0x02,0x00,0x00,0x96,0x02,0x00,0x00,0x99,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x4d,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9d,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0x65,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9f,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xba,0x02,0x00,0x00,0xbb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa3,0x02,0x00,0x00,0xa1,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa5,0x02,0x00,0x00,0xa3,0x02,0x00,0x00,0xa4,0x02,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x02,0x00,0x00,
+0xbb,0x02,0x00,0x00,0x63,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa8,0x02,0x00,0x00,0xa5,0x02,0x00,0x00,
+0xa7,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0xab,0x02,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xaa,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xc3,0x00,0x00,0x00,0xac,0x02,0x00,0x00,0xab,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0x6f,0x01,0x00,0x00,0xad,0x02,0x00,0x00,
+0x92,0x02,0x00,0x00,0x35,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xad,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8e,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x7a,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x7a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x77,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x79,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x72,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x72,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,
+0xbd,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6f,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0x71,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x5a,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x5a,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xbb,0x02,0x00,0x00,0xcf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x57,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x59,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0x52,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x52,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb5,0x02,0x00,0x00,0xba,0x02,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x4f,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x51,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t matmul_q8_0_f32_fp32_len = 10488;
+const uint64_t matmul_q8_0_f32_fp32_len = 10468;
 
 unsigned char mul_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -116404,40 +120092,40 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x32,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x53,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -116464,56 +120152,56 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x16,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x51,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x52,0x00,0x00,0x00,
-0x51,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
-0x52,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x33,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0d,0x00,0x38,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x39,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x3c,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x7b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x7d,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0x8d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xb5,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xb5,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xb6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xb7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
@@ -116521,61 +120209,61 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0xd5,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x7b,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xfe,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x30,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x27,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x70,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x32,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x0d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,
 0x0d,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x12,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
 0x0e,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x1e,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
 0x1e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x23,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
 0x26,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x28,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x64,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
 0x0a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -116585,8 +120273,8 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x84,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
 0x8b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -116604,47 +120292,47 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x9c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x9c,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
 0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x95,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x31,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
-0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
-0x39,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x38,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0x28,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
-0xbe,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x5a,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x51,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
-0xcb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x20,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xcd,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0xcc,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
 0xc0,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x82,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
@@ -116668,9 +120356,9 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0xe7,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -116687,10 +120375,10 @@ unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
 0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfe,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
 0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -116706,40 +120394,40 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x32,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
 0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x53,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -116766,118 +120454,118 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x16,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x51,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x52,0x00,0x00,0x00,
-0x51,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
-0x52,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x33,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0d,0x00,0x38,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x39,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x3c,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x31,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x7c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x7b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x7d,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x81,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0x8d,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xb5,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xb5,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xb6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xb7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf4,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x30,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x70,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x33,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x32,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x10,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
 0x0c,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3c,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x3a,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
 0x24,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x26,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x64,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -116887,8 +120575,8 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x84,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x3c,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
 0x8b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -116906,44 +120594,44 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x8b,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9c,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x9c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x9c,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
 0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x95,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x2f,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
-0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
-0x37,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x36,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
 0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0x26,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xbe,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xc0,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xbe,0x00,0x00,0x00,
-0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xbe,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xcd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
@@ -116967,10 +120655,10 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
 0x3e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,
 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
@@ -116987,10 +120675,10 @@ unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
 0x2a,0x01,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x81,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xbe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x1c,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -117006,39 +120694,39 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
 0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x52,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x52,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -117065,52 +120753,52 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x51,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x52,0x00,0x00,0x00,
-0x51,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x52,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x59,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x66,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x2d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x2f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0d,0x00,0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x36,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x36,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x66,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
 0x6b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x78,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x7a,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0x8a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x8f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
 0xb2,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
@@ -117123,60 +120811,60 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf4,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x2d,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x69,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x2f,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x10,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x37,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
 0x0c,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
 0x24,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x26,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x37,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -117186,8 +120874,8 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
 0x88,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -117205,44 +120893,44 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x88,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x99,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x22,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x2f,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
 0x30,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x35,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0x35,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
 0x36,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xa3,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0xb9,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xbc,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0xb2,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
 0xbe,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xbc,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
-0xb6,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
-0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0xcb,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xcd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0x31,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
@@ -117266,10 +120954,10 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
@@ -117286,10 +120974,10 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
 0x2a,0x01,0x00,0x00,0x69,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x7e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x59,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x1f,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -117304,40 +120992,40 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
 0x66,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
 0xb5,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x52,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x6b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -117363,55 +121051,55 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x30,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x35,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x51,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x52,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x52,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x53,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x36,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x39,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x7a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0x8a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xb2,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xb2,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xb3,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0xb3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,
@@ -117419,60 +121107,60 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf0,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf1,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf1,0x00,0x00,0x00,
 0xf0,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf2,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x2d,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x69,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x2f,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
 0x07,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x0c,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x37,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x16,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
 0x16,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x18,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
 0x18,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1d,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,
-0x1d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x20,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x1d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
 0x20,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x22,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
+0x37,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
 0x04,0x01,0x00,0x00,0x25,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -117482,8 +121170,8 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
 0x88,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -117501,42 +121189,42 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0x88,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x99,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x99,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
 0x2c,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x31,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x31,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
 0x32,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0xa3,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x59,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x1f,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
-0xba,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x59,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x1f,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
 0x33,0x01,0x00,0x00,0xc7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x0e,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
 0xc9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
 0xcc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xcf,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x8f,0x00,0x00,0x00,
@@ -117559,10 +121247,10 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
 0x7e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xe4,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0xe6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x7f,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
@@ -117579,10 +121267,10 @@ unsigned char mul_mat_vec_f32_f32_f32_data[] = {
 0xee,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x7b,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x59,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xef,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -117598,45 +121286,45 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
 0x58,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
 0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x32,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x38,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x38,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x43,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x43,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x45,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x41,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -117663,107 +121351,107 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x0b,0x00,0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x16,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x33,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x38,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x39,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x3c,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x1e,0x00,0x0b,0x00,0x41,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x41,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x42,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x43,0x00,0x00,0x00,0x42,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x49,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x45,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x31,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x31,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x6c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x70,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0x7c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xa4,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xa4,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xa5,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0xa5,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xad,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc5,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x81,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
 0xdc,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xe3,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xe3,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe4,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xe5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xe5,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xed,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x30,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x33,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
 0x58,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x33,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
 0x5d,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x33,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x3c,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x44,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x45,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
 0xfd,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xff,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x45,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0x43,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
 0xff,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x43,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0xf3,0x00,0x00,0x00,
 0x05,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00,
@@ -117773,8 +121461,8 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0x73,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x19,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0xc2,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x7a,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x7c,0x00,0x00,0x00,
@@ -117792,44 +121480,44 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
 0x89,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x27,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x8f,0x00,0x00,0x00,0x27,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x8f,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
 0x99,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x49,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x41,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
 0x0d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x12,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x49,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x45,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x41,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x13,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x27,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x13,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
 0x95,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xac,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xad,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
 0xae,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xb8,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0xb8,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xad,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0xb9,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xbb,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0xba,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
 0xaf,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
 0xbe,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x71,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
@@ -117853,9 +121541,9 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0xd5,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
 0x6d,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
-0x71,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xda,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x71,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xd1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -117872,10 +121560,10 @@ unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
 0x5b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x70,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xad,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
 0xe9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xec,0x00,0x00,0x00,
 0xeb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -117891,45 +121579,45 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x44,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x34,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x37,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x2b,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x41,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x42,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x42,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x44,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x3e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x5a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -117955,105 +121643,105 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x2b,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x2e,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x30,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x34,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x35,0x00,0x00,0x00,
+0x34,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x36,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x36,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x3e,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x34,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x41,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x42,0x00,0x00,0x00,
-0x41,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x42,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x43,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x48,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x3f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x3e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x3f,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x42,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
 0x55,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x68,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x68,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
 0x6a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x79,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x79,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xa1,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xa2,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xa2,0x00,0x00,0x00,
 0xa1,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa3,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xa3,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xc1,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
-0x7e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xdf,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xdf,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe0,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xe1,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xe1,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xe9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x2d,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x30,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
 0x55,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x30,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
 0x5a,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x30,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0x2f,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x39,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
+0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x42,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
 0xf9,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x42,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x40,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0xef,0x00,0x00,0x00,
 0x01,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6d,0x00,0x00,0x00,
@@ -118063,8 +121751,8 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x70,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x13,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0xbe,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x42,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x77,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x77,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
@@ -118082,41 +121770,41 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x8c,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
-0x8c,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
 0x8c,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
 0x96,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x48,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x44,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x1f,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x48,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x44,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x07,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x1f,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
-0x8d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x48,0x00,0x00,0x00,
-0xaa,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xa9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,
+0xaa,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0xa9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xab,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x48,0x00,0x00,0x00,
-0xb5,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xb6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0xb6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0x09,0x01,0x00,0x00,0xab,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xbb,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x6e,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
@@ -118140,10 +121828,10 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x14,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x6d,0x00,0x00,0x00,
 0xd2,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xd5,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
 0xd3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x6e,0x00,0x00,0x00,
 0xd6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xcd,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xcd,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
@@ -118160,17 +121848,17 @@ unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
 0x02,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x6d,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x48,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x1f,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_id_f32_f32_len = 3392;
 
-unsigned char mul_mat_vec_id_q2_K_f32_data[] = {
+unsigned char mul_mat_vec_id_q2_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x14,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -118861,9 +122549,9 @@ unsigned char mul_mat_vec_id_q2_K_f32_data[] = {
 0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x02,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q2_K_f32_len = 8264;
+const uint64_t mul_mat_vec_id_q2_k_f32_len = 8264;
 
-unsigned char mul_mat_vec_id_q3_K_f32_data[] = {
+unsigned char mul_mat_vec_id_q3_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x5c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -119688,7 +123376,7 @@ unsigned char mul_mat_vec_id_q3_K_f32_data[] = {
 0x33,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x33,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q3_K_f32_len = 9872;
+const uint64_t mul_mat_vec_id_q3_k_f32_len = 9872;
 
 unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -119699,50 +123387,50 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x72,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x48,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x49,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x50,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x50,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x57,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x72,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -119768,121 +123456,121 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
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-0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x59,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
 0x13,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x59,0x00,0x00,0x00,
+0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
 0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
@@ -119892,8 +123580,8 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x88,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x39,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0xd7,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x8f,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
 0x7f,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
@@ -119920,49 +123608,49 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0xaf,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
 0xaf,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x4f,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x24,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x22,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x24,0x01,0x00,0x00,0x23,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x59,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
-0xa6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x35,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x39,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x36,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x36,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
 0xab,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0xbc,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xc7,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc1,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0xc7,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xd3,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
 0xd1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x86,0x00,0x00,0x00,
 0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd7,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x96,0x00,0x00,0x00,
@@ -119985,10 +123673,10 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0x74,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
 0x85,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x86,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe6,0x00,0x00,0x00,
@@ -119996,7 +123684,7 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0x57,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
 0x91,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
@@ -120005,10 +123693,10 @@ unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfd,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x70,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xf6,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -120025,51 +123713,51 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x79,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
 0x01,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x47,0x00,0x04,0x00,0x48,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x49,0x00,0x00,0x00,
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 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x5f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x5f,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x5f,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x5f,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x5f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x74,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -120096,118 +123784,118 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
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+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
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+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x38,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x55,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x56,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
+0x5f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x65,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x60,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x62,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x75,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x87,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x88,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x88,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x8b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x8c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0x98,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xc0,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,
 0xc0,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xc2,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xdf,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xfe,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xfe,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x00,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x00,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x4d,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
 0x74,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
 0x79,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x4f,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
 0x10,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x12,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x61,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x18,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,
+0x18,0x01,0x00,0x00,0x61,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
 0x18,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x61,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x61,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
 0x20,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
@@ -120217,8 +123905,8 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x8f,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0x48,0x01,0x00,0x00,0x75,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0xde,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x96,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
@@ -120245,55 +123933,55 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0xb6,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
 0xb6,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x4f,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x24,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x07,0x00,
-0x4f,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
-0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x60,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x38,0x00,0x00,0x00,
-0xad,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x36,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x39,0x01,0x00,0x00,0x65,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x39,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x41,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
-0x2c,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x44,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
 0x42,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xc6,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb2,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
 0xc6,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xc9,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
 0x45,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xd6,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
-0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xdb,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
@@ -120317,17 +124005,17 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x06,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
 0x49,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
 0xf2,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0xf2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xf5,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
 0xf3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
 0x9d,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xe5,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf9,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x49,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xe4,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
@@ -120337,17 +124025,17 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
 0x21,0x01,0x00,0x00,0x77,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x8c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
 0xc9,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
-0x24,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x22,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_id_q4_1_f32_len = 3920;
 
-unsigned char mul_mat_vec_id_q4_K_f32_data[] = {
+unsigned char mul_mat_vec_id_q4_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xc7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -121166,7 +124854,7 @@ unsigned char mul_mat_vec_id_q4_K_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q4_K_f32_len = 9796;
+const uint64_t mul_mat_vec_id_q4_k_f32_len = 9796;
 
 unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -121177,53 +124865,53 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0x27,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x49,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x4c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x80,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x80,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x87,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x87,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x87,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x87,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x87,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9c,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xa0,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -121249,128 +124937,128 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x43,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x44,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x46,0x00,0x00,0x00,
-0x44,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x47,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x49,0x00,0x00,0x00,
-0x47,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,
-0x4a,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x49,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x4b,0x00,0x00,0x00,
-0x4a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x4d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x5a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x73,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x7e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
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+0x1c,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
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+0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
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-0x0e,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x00,0x00,0x80,0x41,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
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+0x77,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x7d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x7e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x7f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x82,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
+0x87,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x88,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x88,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xae,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xae,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0xad,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xaf,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0xbf,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xe6,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xe6,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xe7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xe8,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xe8,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xef,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x24,0x01,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x24,0x01,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x25,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
 0x20,0x00,0x04,0x00,0x26,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x25,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x26,0x01,0x00,0x00,
 0x27,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x2c,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x90,0x01,0x00,0x00,
-0x94,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x33,0x00,0x06,0x00,0x76,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x2c,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x90,0x01,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x9c,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0xa0,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
+0xa0,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x78,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x82,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
 0x36,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
-0x3b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x3e,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
+0x3e,0x01,0x00,0x00,0x89,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
 0x3e,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x40,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x89,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
 0x40,0x01,0x00,0x00,0x42,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
+0x97,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x46,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
 0x46,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,
@@ -121378,10 +125066,10 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xb6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xb6,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x8d,0x01,0x00,0x00,0x85,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x8d,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x04,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xbd,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
 0xad,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,
@@ -121392,7 +125080,7 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0xb7,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xc3,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0xad,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x1a,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
 0xc5,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
@@ -121402,99 +125090,99 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0xce,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd2,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0xd2,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
 0xd2,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xdc,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0xce,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,
 0xdc,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x52,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x24,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0x51,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x29,0x00,0x00,0x00,0x51,0x01,0x00,0x00,0x23,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
+0x51,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x53,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x5b,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x5a,0x00,0x00,0x00,
-0x5a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x23,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x31,0x00,0x00,0x00,
+0x31,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x58,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x59,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x59,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x5b,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x5a,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x59,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
+0x32,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x23,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x31,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x61,0x01,0x00,0x00,
 0x5a,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
 0xd3,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
-0x65,0x01,0x00,0x00,0x48,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
+0x65,0x01,0x00,0x00,0x1d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,
-0xd3,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xd3,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
 0x6a,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x6c,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,0x48,0x00,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
-0x6c,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x7e,0x00,0x00,0x00,
-0x73,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x50,0x01,0x00,0x00,0x38,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x74,0x01,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,0x1d,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x57,0x00,0x00,0x00,
+0x73,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x50,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x74,0x01,0x00,0x00,
 0x73,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x75,0x01,0x00,0x00,0x74,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x77,0x01,0x00,0x00,0x75,0x01,0x00,0x00,
-0x83,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x7a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x7b,0x01,0x00,0x00,0x77,0x01,0x00,0x00,
-0x7a,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x7a,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x01,0x00,0x00,0x75,0x01,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x81,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x82,0x01,0x00,0x00,0x7e,0x01,0x00,0x00,
-0x81,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x81,0x01,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x83,0x01,0x00,0x00,0x82,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,
-0x83,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,
+0x83,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x86,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
 0x86,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xef,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
 0x88,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xef,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xef,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0xe5,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x8d,0x01,0x00,0x00,0x45,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8d,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xb6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb8,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
 0xb8,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
 0xac,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x8e,0x01,0x00,0x00,0x85,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x8e,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
 0x0a,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
 0x0a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x09,0x01,0x00,0x00,
@@ -121506,30 +125194,30 @@ unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,
 0x8e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,
 0x18,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x1b,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
 0x19,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,
 0x1c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x13,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x13,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x45,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x0b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x0b,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,0x5a,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,0x31,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x0a,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
 0xf7,0x00,0x03,0x00,0x23,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
 0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x47,0x01,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0xb3,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
 0xef,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x24,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x2d,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x23,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -121545,53 +125233,53 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
 0x9a,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0x22,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
+0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
 0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
 0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x48,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x49,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x49,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x96,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
@@ -121617,121 +125305,121 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x0b,0x00,0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,
+0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x46,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x71,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
+0x73,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x74,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x78,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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-0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
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-0x16,0x00,0x03,0x00,0x43,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
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-0x43,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x48,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
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-0x49,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x4f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5f,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x44,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x7d,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x83,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
 0x9a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xa9,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xad,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0xb9,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xbe,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xe1,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xe1,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0xe2,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,
 0xe4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x02,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
 0xbe,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1f,0x01,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x20,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x20,0x01,0x00,0x00,
 0x1f,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x21,0x01,0x00,0x00,0x22,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x71,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x62,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x9c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x73,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x2f,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0x26,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0x32,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x35,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x32,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x35,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
+0x84,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
 0x2f,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x84,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x3d,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x40,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
 0x40,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x42,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
@@ -121740,9 +125428,9 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0xae,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xb0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb0,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x87,0x01,0x00,0x00,
-0x7f,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0xb6,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
 0xb6,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xb8,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -121769,78 +125457,78 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0xd7,0x00,0x00,0x00,
-0xca,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x43,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,
-0x53,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x43,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x5f,0x00,0x00,0x00,
-0x59,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xca,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x4d,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x53,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x37,0x00,0x00,0x00,
+0x59,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
 0x5a,0x01,0x00,0x00,0xce,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,
-0x2e,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0x40,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x63,0x01,0x00,0x00,0xce,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0xce,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
 0x5a,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
-0x45,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x78,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x6d,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x70,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x7d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x6e,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x73,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x74,0x01,0x00,0x00,
 0x70,0x01,0x00,0x00,0x73,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x75,0x01,0x00,0x00,0x74,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x75,0x01,0x00,0x00,0x74,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x6e,0x01,0x00,0x00,0x40,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7b,0x01,0x00,0x00,
 0x77,0x01,0x00,0x00,0x7a,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
 0x75,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,
-0x4f,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x81,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
 0x7f,0x01,0x00,0x00,0x81,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x82,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,0xd3,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0xe7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xea,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
 0x82,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xea,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xea,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xf9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xae,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
@@ -121852,7 +125540,7 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
 0xb2,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
 0xac,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0x88,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x88,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
 0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x09,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
 0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x01,0x00,0x00,
@@ -121864,37 +125552,37 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x9c,0x00,0x00,0x00,
 0x88,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xad,0x00,0x00,0x00,
 0x13,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x16,0x01,0x00,0x00,0xae,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
 0x14,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xae,0x00,0x00,0x00,
 0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
 0xbe,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x06,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x88,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x88,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x03,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x05,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x9c,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x1c,0x01,0x00,0x00,0x9c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0xf7,0x00,0x03,0x00,0x1e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,
 0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
 0x42,0x01,0x00,0x00,0x98,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0xad,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
 0xea,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x24,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x22,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_id_q5_1_f32_len = 4244;
 
-unsigned char mul_mat_vec_id_q5_K_f32_data[] = {
+unsigned char mul_mat_vec_id_q5_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xb2,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -122952,9 +126640,9 @@ unsigned char mul_mat_vec_id_q5_K_f32_data[] = {
 0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x04,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q5_K_f32_len = 12668;
+const uint64_t mul_mat_vec_id_q5_k_f32_len = 12668;
 
-unsigned char mul_mat_vec_id_q6_K_f32_data[] = {
+unsigned char mul_mat_vec_id_q6_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xf1,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -123924,7 +127612,7 @@ unsigned char mul_mat_vec_id_q6_K_f32_data[] = {
 0xcf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q6_K_f32_len = 11612;
+const uint64_t mul_mat_vec_id_q6_k_f32_len = 11612;
 
 unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -123935,50 +127623,50 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
 0x71,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x2b,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x2b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x48,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x49,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x49,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,
+0x4c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x55,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x71,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -124004,115 +127692,115 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,
-0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
-0x2b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x47,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x4b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x4c,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x4d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x50,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,
+0x55,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2c,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x2c,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x56,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x56,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x59,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x34,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x43,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x44,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x46,0x00,0x00,0x00,
-0x44,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,
-0x47,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x48,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x49,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x49,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x4f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x56,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x45,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
 0x71,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x80,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x80,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x84,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0x90,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x95,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xb7,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xb7,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xb8,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xb9,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0xf6,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
 0xf8,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xff,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x33,0x00,0x06,0x00,0x44,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xff,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,
 0x6e,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,
 0x72,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x72,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x46,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x04,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
-0x07,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x50,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x57,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x09,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x2f,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x34,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x57,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x10,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,
-0x12,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x10,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
 0x12,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x14,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x57,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
 0x05,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -124122,8 +127810,8 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x87,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x2f,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
-0x2d,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
 0x8e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -124141,60 +127829,60 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x8e,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x9f,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
-0x9f,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x9f,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
-0x45,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x45,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x1e,0x01,0x00,0x00,0xad,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
-0x41,0x00,0x07,0x00,0x4f,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x43,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x58,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x56,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x44,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x72,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x27,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x2f,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x2d,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x27,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xa4,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x58,0x00,0x00,0x00,
-0x2f,0x01,0x00,0x00,0x4b,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x1e,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x2f,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x2f,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x2f,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
 0x29,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
+0x21,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xb6,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
 0x14,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
 0xa4,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xc2,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xcb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
-0xba,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
-0xcc,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
 0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
 0xd1,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x85,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
@@ -124218,9 +127906,9 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0xe8,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
 0x81,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xed,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x85,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xe4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -124228,7 +127916,7 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x95,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xdc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x39,0x01,0x00,0x00,0x56,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x39,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xd9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
 0xaa,0x00,0x05,0x00,0x90,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
 0x73,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
@@ -124237,10 +127925,10 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
 0x6f,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x84,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
 0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc0,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xfe,0x00,0x00,0x00,
 0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -124723,7 +128411,7 @@ unsigned char mul_mat_vec_p021_f16_f32_data[] = {
 };
 const uint64_t mul_mat_vec_p021_f16_f32_len = 2768;
 
-unsigned char mul_mat_vec_q2_K_f16_f32_data[] = {
+unsigned char mul_mat_vec_q2_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x49,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -125443,9 +129131,9 @@ unsigned char mul_mat_vec_q2_K_f16_f32_data[] = {
 0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q2_K_f16_f32_len = 8612;
+const uint64_t mul_mat_vec_q2_k_f16_f32_len = 8612;
 
-unsigned char mul_mat_vec_q2_K_f32_f32_data[] = {
+unsigned char mul_mat_vec_q2_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x39,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -126144,9 +129832,9 @@ unsigned char mul_mat_vec_q2_K_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q2_K_f32_f32_len = 8356;
+const uint64_t mul_mat_vec_q2_k_f32_f32_len = 8356;
 
-unsigned char mul_mat_vec_q3_K_f16_f32_data[] = {
+unsigned char mul_mat_vec_q3_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x85,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -126984,9 +130672,9 @@ unsigned char mul_mat_vec_q3_K_f16_f32_data[] = {
 0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q3_K_f16_f32_len = 10028;
+const uint64_t mul_mat_vec_q3_k_f16_f32_len = 10028;
 
-unsigned char mul_mat_vec_q3_K_f32_f32_data[] = {
+unsigned char mul_mat_vec_q3_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x7d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -127814,7 +131502,7 @@ unsigned char mul_mat_vec_q3_K_f32_f32_data[] = {
 0x41,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t mul_mat_vec_q3_K_f32_f32_len = 9900;
+const uint64_t mul_mat_vec_q3_k_f32_f32_len = 9900;
 
 unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -127825,45 +131513,45 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
 0x93,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x83,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -127889,70 +131577,70 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x30,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,0x00,0x00,0x00,0x41,
+0x17,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x46,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x46,0x00,0x00,0x00,0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x49,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
+0x4e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x1e,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x58,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6f,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x00,0x00,0x00,0x41,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x5d,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x63,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x46,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x7f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x46,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x92,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x92,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x95,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x96,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0xa2,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xca,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xcb,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xcb,0x00,0x00,0x00,
 0xca,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xcc,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xcc,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
@@ -127960,61 +131648,61 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x09,0x01,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x0a,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x0a,0x01,0x00,0x00,
 0x09,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x0b,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x14,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x2c,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x76,0x00,0x00,0x00,
-0x76,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
+0x48,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x2c,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
 0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x81,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
 0x7f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x85,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x49,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x47,0x00,0x00,0x00,
+0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1e,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
 0x21,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x26,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x22,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0x63,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x2d,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x2d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x30,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x2d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,
+0x30,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
 0x30,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
 0x32,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
-0x37,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
 0x1e,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -128024,8 +131712,8 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x99,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -128052,52 +131740,52 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x06,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
 0xb2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x47,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,0x48,0x01,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x48,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0x49,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x6a,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x68,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x30,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
 0x50,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x53,0x01,0x00,0x00,0x51,0x01,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
+0x53,0x01,0x00,0x00,0x51,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
 0x53,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x51,0x01,0x00,0x00,0x43,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x56,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x56,0x01,0x00,0x00,0x51,0x01,0x00,0x00,0x39,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
+0x56,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x58,0x01,0x00,0x00,0x54,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x58,0x01,0x00,0x00,0x62,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xc9,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xb7,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
-0xd3,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xb7,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x5c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x0e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xe5,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
 0xe3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,
 0xe6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xe9,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,
@@ -128120,10 +131808,10 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
 0x96,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
 0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x97,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
@@ -128131,7 +131819,7 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
-0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
 0xa2,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x85,0x00,0x00,0x00,
 0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x08,0x01,0x00,0x00,
@@ -128140,10 +131828,10 @@ unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
 0x07,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x0f,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
-0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
 0x41,0x00,0x06,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x13,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x08,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -128160,45 +131848,45 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
 0x93,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x83,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -128224,132 +131912,132 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
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+0x50,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
 0x20,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0x63,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x30,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
 0x30,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0x39,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x35,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0x35,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x38,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x50,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
 0x38,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x39,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
@@ -128359,8 +132047,8 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x99,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
 0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
 0x05,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x52,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -128387,49 +132075,49 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0xb2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x45,0x01,0x00,0x00,0xc0,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0x47,0x01,0x00,0x00,0x46,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x6a,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x68,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x30,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
 0x4e,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x6f,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
+0x51,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
 0x51,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x43,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x54,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x39,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x56,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
 0x56,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0x48,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
+0x48,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xc9,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0xb7,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0xcd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xe1,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
 0xd5,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
 0xe4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x97,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
@@ -128453,9 +132141,9 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0xfb,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0x93,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -128463,7 +132151,7 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0xa7,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x5e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
 0x85,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
@@ -128472,10 +132160,10 @@ unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x81,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
 0x0f,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
 0x0e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
 0x10,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x07,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -128492,46 +132180,46 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -128558,70 +132246,70 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x38,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x56,0x00,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x58,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x57,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x65,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x9a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0xaa,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
 0xd2,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
@@ -128629,59 +132317,59 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0xaf,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x12,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x12,0x01,0x00,0x00,
 0x11,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x13,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x4d,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
 0x8b,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
+0x4f,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x26,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x30,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0x30,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x65,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
 0x30,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x31,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
 0x39,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x43,0x01,0x00,0x00,0x42,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
-0x43,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x46,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x43,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0x46,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
 0x46,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x48,0x01,0x00,0x00,0x26,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
@@ -128691,8 +132379,8 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,
 0x87,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
@@ -128719,59 +132407,59 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
 0x40,0x01,0x00,0x00,0xba,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0xc8,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x50,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x53,0x01,0x00,0x00,
-0x52,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x57,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x50,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
-0x58,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x72,0x00,0x00,0x00,
-0x5e,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x50,0x01,0x00,0x00,0x70,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x51,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x50,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x53,0x01,0x00,0x00,
+0x52,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x57,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x50,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
+0x58,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x38,0x00,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x50,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
-0x77,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x63,0x01,0x00,0x00,0x62,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
-0x43,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x63,0x01,0x00,0x00,
-0x66,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x63,0x01,0x00,0x00,
+0x66,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x69,0x01,0x00,0x00,0x67,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
 0x59,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x69,0x01,0x00,0x00,
-0x6b,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x69,0x01,0x00,0x00,
+0x6b,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xd1,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x44,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
-0xdb,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0xdc,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
 0x6c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xda,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x60,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xe6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0xe8,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x0e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xed,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
 0xeb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,
 0xee,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0x6f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
@@ -128794,10 +132482,10 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
 0x8d,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
 0x9e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
 0x08,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x9f,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x00,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x01,0x00,0x00,
@@ -128805,7 +132493,7 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x70,0x01,0x00,0x00,
-0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
 0xaa,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x10,0x01,0x00,0x00,
@@ -128814,10 +132502,10 @@ unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
 0x0f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x17,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
-0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
+0x9b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
 0x41,0x00,0x06,0x00,0x1a,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x14,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x1b,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x10,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x10,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -128834,46 +132522,46 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
 0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
@@ -128900,130 +132588,130 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x38,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x54,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x56,0x00,0x00,0x00,
-0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x58,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x57,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x65,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0x9a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x9d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0xaa,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
 0xd2,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xf1,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
 0x98,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x10,0x01,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x10,0x01,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
 0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x4d,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
 0x86,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
 0x8b,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x8c,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x4f,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
 0x24,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x27,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x27,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x65,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x30,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x2f,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
 0x2c,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
 0x37,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,
+0x58,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x3c,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x5a,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x41,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x44,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x41,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
 0x44,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x46,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
@@ -129033,8 +132721,8 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
 0x87,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,
 0xa7,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
@@ -129061,56 +132749,56 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
 0x3e,0x01,0x00,0x00,0xba,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,0xc8,0x00,0x00,0x00,
-0xbb,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x4f,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
-0x50,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x55,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
-0x56,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x72,0x00,0x00,0x00,
-0x5c,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x4e,0x01,0x00,0x00,0x70,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
+0xbb,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x51,0x01,0x00,0x00,
+0x50,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x55,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
+0x56,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x38,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4e,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
 0x5c,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x77,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x61,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x63,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x43,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x64,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
-0x64,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x61,0x01,0x00,0x00,
+0x64,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x67,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x51,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
 0x57,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
-0x69,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
+0x69,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xd1,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0x42,0x01,0x00,0x00,0xc4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe6,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xe9,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
 0xdd,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
 0xec,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x9f,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
@@ -129134,9 +132822,9 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x03,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
-0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -129144,7 +132832,7 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x8d,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
@@ -129153,10 +132841,10 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
 0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,
-0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
+0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
 0x17,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,
-0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
 0x16,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x19,0x01,0x00,0x00,
 0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -129164,7 +132852,7 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 };
 const uint64_t mul_mat_vec_q4_1_f32_f32_len = 4012;
 
-unsigned char mul_mat_vec_q4_K_f16_f32_data[] = {
+unsigned char mul_mat_vec_q4_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x0c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -130033,9 +133721,9 @@ unsigned char mul_mat_vec_q4_K_f16_f32_data[] = {
 0xcf,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xcf,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q4_K_f16_f32_len = 10400;
+const uint64_t mul_mat_vec_q4_k_f16_f32_len = 10400;
 
-unsigned char mul_mat_vec_q4_K_f32_f32_data[] = {
+unsigned char mul_mat_vec_q4_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xec,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -130862,7 +134550,7 @@ unsigned char mul_mat_vec_q4_K_f32_f32_data[] = {
 0xb0,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t mul_mat_vec_q4_K_f32_f32_len = 9888;
+const uint64_t mul_mat_vec_q4_k_f32_f32_len = 9888;
 
 unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -130873,48 +134561,48 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5e,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x59,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x5a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x5c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x5c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x5c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5e,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x78,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xb2,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -130940,140 +134628,140 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
-0x1e,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x5b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x5c,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x5d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x5f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x63,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x90,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x00,0x00,0x80,0x41,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x00,0x00,0x80,0x41,0x17,0x00,0x04,0x00,0x76,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x77,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
+0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xc1,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0xd1,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xf8,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xf8,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xf9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xfa,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x18,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
 0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x37,0x01,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xbf,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x37,0x01,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
 0x39,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
 0x3b,0x00,0x04,0x00,0x39,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x40,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
-0x42,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x2c,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xb7,0x01,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x33,0x00,0x06,0x00,0x76,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0x42,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x2c,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xb7,0x01,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0xae,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0xb2,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
+0xb2,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
+0x78,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,
 0x4c,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x4f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x4f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x56,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
 0x56,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x58,0x01,0x00,0x00,0x50,0x01,0x00,0x00,0x57,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,
 0x54,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
 0x5f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x62,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,
 0x62,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x69,0x01,0x00,0x00,0x68,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x69,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x6c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x69,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x6c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,
 0x6c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x6e,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,
@@ -131082,9 +134770,9 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0xc6,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,
-0x97,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -131095,7 +134783,7 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0xca,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
 0xb4,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0xb4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
@@ -131106,101 +134794,101 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0x66,0x01,0x00,0x00,0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x77,0x01,0x00,0x00,0xee,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x63,0x00,0x00,0x00,
-0x78,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x77,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x79,0x01,0x00,0x00,0x78,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,
-0x79,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x6c,0x00,0x00,0x00,
-0x7e,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x77,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x29,0x00,0x00,0x00,
+0x78,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x77,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x79,0x01,0x00,0x00,0x78,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,
+0x79,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x32,0x00,0x00,0x00,
+0x7e,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x77,0x01,0x00,0x00,0x31,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,
 0x7e,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x80,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x81,0x01,0x00,0x00,0x80,0x01,0x00,0x00,
-0x70,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x6c,0x00,0x00,0x00,
-0x85,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x77,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
+0x36,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x32,0x00,0x00,0x00,
+0x85,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x77,0x01,0x00,0x00,0x31,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
 0x85,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x87,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x88,0x01,0x00,0x00,0x81,0x01,0x00,0x00,
 0x87,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x8b,0x01,0x00,0x00,0x88,0x01,0x00,0x00,0xe5,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x01,0x00,0x00,
-0x8b,0x01,0x00,0x00,0x43,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x8b,0x01,0x00,0x00,0x45,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x8c,0x01,0x00,0x00,
-0x58,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
 0x8e,0x01,0x00,0x00,0x8d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x91,0x01,0x00,0x00,0xe5,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x92,0x01,0x00,0x00,0x88,0x01,0x00,0x00,0x91,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x93,0x01,0x00,0x00,
-0x92,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x93,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x90,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,
-0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
-0x8e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x57,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,
+0x92,0x01,0x00,0x00,0x1d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x93,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x57,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,
+0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
+0x55,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x1c,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9c,0x01,0x00,0x00,
 0x9b,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,0x95,0x00,0x00,0x00,
+0x9e,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,
 0x8e,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa2,0x01,0x00,0x00,0x9e,0x01,0x00,0x00,0xa1,0x01,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
 0xa2,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa5,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,0x43,0x00,0x00,0x00,
+0xa5,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
 0x94,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa9,0x01,0x00,0x00,0xa5,0x01,0x00,0x00,0xa8,0x01,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
-0xa9,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
+0xa9,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0xab,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,0xaa,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xad,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xad,0x01,0x00,0x00,
 0xab,0x01,0x00,0x00,0xb7,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0xaf,0x01,0x00,0x00,0xad,0x01,0x00,0x00,
-0x7a,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0xaf,0x01,0x00,0x00,0xad,0x01,0x00,0x00,
+0x7a,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0xaf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x6a,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xe5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x63,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x29,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
 0xaf,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x00,0x01,0x00,0x00,
-0x58,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x63,0x00,0x00,0x00,
-0x0d,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x53,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x29,0x00,0x00,0x00,
+0x0d,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
 0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
 0x06,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x0e,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x10,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x13,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
 0x11,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc6,0x00,0x00,0x00,
 0x14,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x17,0x01,0x00,0x00,0xb4,0x01,0x00,0x00,0x55,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0xb4,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xca,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xca,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x1b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
 0x1a,0x01,0x00,0x00,0xca,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
 0x1e,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
+0x21,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,
 0xf6,0x00,0x04,0x00,0x1d,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x21,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -131212,30 +134900,30 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0xb4,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
 0xc5,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x2a,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xc6,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x26,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x26,0x01,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,
-0x6b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
+0x31,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
 0xd1,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x36,0x01,0x00,0x00,
+0x5e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x36,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x34,0x01,0x00,0x00,
 0x35,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x35,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3d,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
 0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0xc2,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x41,0x00,0x06,0x00,0x40,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
-0x3a,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x41,0x01,0x00,0x00,0x3f,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x36,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x36,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
@@ -131252,48 +134940,48 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5e,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
 0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xb2,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -131319,140 +135007,140 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
-0x1e,0x00,0x05,0x00,0x5a,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x5b,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x5c,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x5d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x5f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x63,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x6c,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x90,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x57,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x00,0x00,0x80,0x41,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
+0x00,0x00,0x80,0x41,0x17,0x00,0x04,0x00,0x76,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x77,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
+0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
 0xb2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xc1,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
 0xd1,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xf8,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0xf8,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
 0xf9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xfa,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x01,0x01,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
 0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0x86,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x36,0x01,0x00,0x00,0x0e,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0x36,0x01,0x00,0x00,0x08,0x00,0x00,0x00,
 0x1e,0x00,0x03,0x00,0x37,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
 0x20,0x00,0x04,0x00,0x38,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x37,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x38,0x01,0x00,0x00,
 0x39,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x33,0x00,0x06,0x00,0x17,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
-0x40,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x2c,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x33,0x00,0x06,0x00,0x76,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x40,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x2c,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0xae,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0xb2,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
+0xb2,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
+0x78,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,0x49,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4e,0x01,0x00,0x00,
 0x4a,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x4d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x4d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x54,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
 0x54,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x56,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x59,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
 0x52,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x5d,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
 0x5d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x60,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
+0x80,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x63,0x01,0x00,0x00,0x62,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,
 0x60,0x01,0x00,0x00,0x63,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x80,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x68,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x67,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x6a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x67,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x6a,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x6b,0x01,0x00,0x00,
 0x6a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x6c,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,0x6b,0x01,0x00,0x00,
@@ -131461,9 +135149,9 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0xc6,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xc8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb2,0x01,0x00,0x00,
-0x97,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd0,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
@@ -131474,7 +135162,7 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0xca,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
 0xb2,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0xb4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
@@ -131485,99 +135173,99 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
 0x64,0x01,0x00,0x00,0xe0,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x75,0x01,0x00,0x00,0xee,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x63,0x00,0x00,0x00,
-0x76,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x75,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x77,0x01,0x00,0x00,0x76,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x78,0x01,0x00,0x00,
-0x77,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x6c,0x00,0x00,0x00,
-0x7c,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x75,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x29,0x00,0x00,0x00,
+0x76,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x75,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x77,0x01,0x00,0x00,0x76,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x78,0x01,0x00,0x00,
+0x77,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x32,0x00,0x00,0x00,
+0x7c,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x75,0x01,0x00,0x00,0x31,0x00,0x00,0x00,0x31,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
 0x7c,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x7e,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x7f,0x01,0x00,0x00,0x7e,0x01,0x00,0x00,
-0x70,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x6c,0x00,0x00,0x00,
-0x83,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x75,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x84,0x01,0x00,0x00,
+0x36,0x00,0x00,0x00,0x41,0x00,0x08,0x00,0x32,0x00,0x00,0x00,
+0x83,0x01,0x00,0x00,0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x75,0x01,0x00,0x00,0x31,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x84,0x01,0x00,0x00,
 0x83,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x85,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,
 0x85,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x89,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0xe5,0x00,0x00,0x00,
 0xc4,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,
-0x89,0x01,0x00,0x00,0x43,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x89,0x01,0x00,0x00,0x45,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,0x8a,0x01,0x00,0x00,
-0x58,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
 0x8c,0x01,0x00,0x00,0x8b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8f,0x01,0x00,0x00,0xe5,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x90,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x91,0x01,0x00,0x00,
-0x90,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x92,0x01,0x00,0x00,0x91,0x01,0x00,0x00,
-0x41,0x00,0x08,0x00,0x90,0x00,0x00,0x00,0x98,0x01,0x00,0x00,
-0x5e,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x75,0x01,0x00,0x00,
-0x8e,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x57,0x00,0x00,0x00,0x99,0x01,0x00,0x00,0x98,0x01,0x00,0x00,
+0x90,0x01,0x00,0x00,0x1d,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x92,0x01,0x00,0x00,0x91,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x57,0x00,0x00,0x00,0x98,0x01,0x00,0x00,
+0x23,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x75,0x01,0x00,0x00,
+0x55,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x1c,0x00,0x00,0x00,0x99,0x01,0x00,0x00,0x98,0x01,0x00,0x00,
 0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,
 0x99,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9c,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,0x95,0x00,0x00,0x00,
+0x9c,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,
 0x8c,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa0,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,0x9f,0x01,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,
 0xa0,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa3,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,0x43,0x00,0x00,0x00,
+0xa3,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
 0x7c,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x01,0x00,0x00,
 0x92,0x01,0x00,0x00,0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa7,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,0xa6,0x01,0x00,0x00,
-0x70,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
-0xa7,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
+0xa7,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0xa9,0x01,0x00,0x00,0xa1,0x01,0x00,0x00,0xa8,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xab,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xab,0x01,0x00,0x00,
 0xa9,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0xab,0x01,0x00,0x00,
-0x78,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0xab,0x01,0x00,0x00,
+0x78,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0xad,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
 0x68,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
 0xe5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x01,0x01,0x00,0x00,
-0x02,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0xad,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0xad,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x58,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x1d,0x00,0x00,0x00,
 0x41,0x00,0x06,0x00,0x01,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0d,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x0d,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x0f,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
 0x03,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x12,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
 0x12,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xc6,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0xb2,0x01,0x00,0x00,
-0x55,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xca,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x1a,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
 0xb3,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0xca,0x00,0x00,0x00,
 0x31,0x01,0x00,0x00,0x1d,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
 0xd1,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0xb3,0x01,0x00,0x00,
-0x97,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,
+0x5e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,
 0x1d,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x20,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x1b,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -131589,29 +135277,29 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x29,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0xb3,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
 0xc2,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
-0xc6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xc6,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x25,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x25,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x25,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x1d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
-0xb3,0x01,0x00,0x00,0x6b,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb3,0x01,0x00,0x00,0x31,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1c,0x01,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xb4,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
 0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x33,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,
 0xb0,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
-0x3d,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,0x5f,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x3d,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x3d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x01,0x01,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x5f,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3f,0x01,0x00,0x00,
 0x3e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x35,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -131628,48 +135316,48 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
 0xbd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x58,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xa9,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
@@ -131695,75 +135383,75 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,
+0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x30,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x43,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x53,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,0x57,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x58,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x71,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x46,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x71,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
+0x73,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x74,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1e,0x00,0x0d,0x00,0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x7a,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
 0xbc,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
 0x3b,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xbf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xc0,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
+0xc0,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x14,0x00,0x02,0x00,0xcc,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
 0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf4,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
 0xf4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
@@ -131771,59 +135459,59 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0x16,0x01,0x00,0x00,0x86,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
 0xd1,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x33,0x01,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x34,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x34,0x01,0x00,0x00,
 0x33,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x35,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x35,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x3e,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x71,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x62,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
-0xa9,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x74,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
+0xa9,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0xad,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x74,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x74,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
+0x73,0x00,0x00,0x00,0x62,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x48,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,0x4a,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0x4a,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,
 0x48,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
-0x4b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x52,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x4b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,
+0x52,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x53,0x01,0x00,0x00,
 0x52,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x54,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,0x53,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
 0x50,0x01,0x00,0x00,0x57,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x5b,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
 0x5b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x61,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
 0x5e,0x01,0x00,0x00,0x61,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x65,0x01,0x00,0x00,0x64,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0x48,0x01,0x00,0x00,
-0x65,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x68,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,
+0x68,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
 0x68,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x6a,0x01,0x00,0x00,0x48,0x01,0x00,0x00,0x69,0x01,0x00,0x00,
@@ -131832,9 +135520,9 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xc3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc3,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xaf,0x01,0x00,0x00,
-0x92,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0xc4,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
 0xc9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
@@ -131861,81 +135549,81 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0x62,0x01,0x00,0x00,0xdc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0xea,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x75,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x74,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x76,0x01,0x00,0x00,0x75,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
-0x76,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x7b,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x74,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
-0x7c,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x71,0x00,0x00,0x00,
-0x81,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x74,0x01,0x00,0x00,0x70,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xdd,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x75,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x74,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x76,0x01,0x00,0x00,0x75,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
+0x76,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x7b,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x74,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x7c,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x7d,0x01,0x00,0x00,
+0x7c,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x37,0x00,0x00,0x00,
+0x81,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x74,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x82,0x01,0x00,0x00,0x81,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x85,0x01,0x00,0x00,
 0x82,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x86,0x01,0x00,0x00,0x85,0x01,0x00,0x00,
-0x43,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x87,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0x55,0x00,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
+0x40,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x87,0x01,0x00,0x00,0x86,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
 0x87,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x8b,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x8b,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8c,0x01,0x00,0x00,
 0x82,0x01,0x00,0x00,0x8b,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8d,0x01,0x00,0x00,0x8c,0x01,0x00,0x00,
-0x55,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x8e,0x01,0x00,0x00,0x8d,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x8b,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x95,0x01,0x00,0x00,0x94,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,0x95,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x98,0x01,0x00,0x00,
-0x96,0x01,0x00,0x00,0x90,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x96,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x88,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9c,0x01,0x00,0x00,
 0x98,0x01,0x00,0x00,0x9b,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x9d,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x9d,0x01,0x00,0x00,0x9c,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x01,0x00,0x00,
-0x96,0x01,0x00,0x00,0x43,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x96,0x01,0x00,0x00,0x40,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
 0x9f,0x01,0x00,0x00,0xa2,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xa5,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xa4,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xa5,0x01,0x00,0x00,
 0x9d,0x01,0x00,0x00,0xa4,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0xa7,0x01,0x00,0x00,0xa5,0x01,0x00,0x00,
-0x77,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0xa7,0x01,0x00,0x00,0xa5,0x01,0x00,0x00,
+0x77,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0xa9,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,0x7d,0x01,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
 0xa7,0x01,0x00,0x00,0xa9,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x60,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x02,0x01,0x00,0x00,0xaa,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x60,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x26,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x0c,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
 0xff,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
 0x0f,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0xc1,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0xaf,0x01,0x00,0x00,
@@ -131947,7 +135635,7 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0xb0,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0xc5,0x00,0x00,0x00,
 0x2e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
 0xcc,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb0,0x01,0x00,0x00,
-0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
+0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
 0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x1d,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x18,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
@@ -131959,9 +135647,9 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0x26,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0xb0,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
 0xbd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -131969,19 +135657,19 @@ unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
 0xd1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
-0xb0,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xb0,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x01,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0xaf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xaf,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
 0x32,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x6a,0x01,0x00,0x00,
 0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
-0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x3c,0x01,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
 0x39,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3d,0x01,0x00,0x00,
 0x3b,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x32,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x32,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -131998,48 +135686,48 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
 0xbd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
 0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x58,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0xa9,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
@@ -132065,135 +135753,135 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
 0x4e,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x59,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x52,0x01,0x00,0x00,
 0x59,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x5c,0x01,0x00,0x00,0x5a,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
 0x5c,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7d,0x00,0x00,0x00,0x62,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x63,0x01,0x00,0x00,0x62,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
-0x63,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x66,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x63,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,
+0x66,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
 0x66,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x68,0x01,0x00,0x00,0x46,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
@@ -132202,9 +135890,9 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xc3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc3,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xad,0x01,0x00,0x00,
-0x92,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0xc4,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0xc4,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x7d,0x00,0x00,0x00,
+0xc9,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
 0xc9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
@@ -132231,78 +135919,78 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
 0x60,0x01,0x00,0x00,0xdc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0xea,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x73,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x72,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0x73,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x75,0x01,0x00,0x00,
-0x74,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x79,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x72,0x01,0x00,0x00,0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x79,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x7b,0x01,0x00,0x00,
-0x7a,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x71,0x00,0x00,0x00,
-0x7f,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x72,0x01,0x00,0x00,0x70,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xdd,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x73,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x72,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x74,0x01,0x00,0x00,0x73,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x75,0x01,0x00,0x00,
+0x74,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x79,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x72,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x7a,0x01,0x00,0x00,0x79,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x7b,0x01,0x00,0x00,
+0x7a,0x01,0x00,0x00,0x41,0x00,0x07,0x00,0x37,0x00,0x00,0x00,
+0x7f,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x72,0x01,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x80,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x83,0x01,0x00,0x00,
 0x80,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x83,0x01,0x00,0x00,
-0x43,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x85,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0x55,0x00,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
+0x40,0x00,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x85,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x86,0x01,0x00,0x00,
 0x85,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x89,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x89,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x8a,0x01,0x00,0x00,
 0x80,0x01,0x00,0x00,0x89,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x8b,0x01,0x00,0x00,0x8a,0x01,0x00,0x00,
-0x55,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x8c,0x01,0x00,0x00,0x8b,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x8b,0x00,0x00,0x00,0x92,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
+0x52,0x00,0x00,0x00,0x92,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x72,0x01,0x00,0x00,0x50,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x93,0x01,0x00,0x00,0x92,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x94,0x01,0x00,0x00,0x93,0x01,0x00,0x00,
 0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x96,0x01,0x00,0x00,
-0x94,0x01,0x00,0x00,0x90,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x94,0x01,0x00,0x00,0x57,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x99,0x01,0x00,0x00,0x86,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x01,0x00,0x00,
 0x96,0x01,0x00,0x00,0x99,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x9b,0x01,0x00,0x00,0x9a,0x01,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9d,0x01,0x00,0x00,
-0x94,0x01,0x00,0x00,0x43,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x94,0x01,0x00,0x00,0x40,0x00,0x00,0x00,0x7c,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0xa0,0x01,0x00,0x00,0x8c,0x01,0x00,0x00,
 0xc5,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa1,0x01,0x00,0x00,
 0x9d,0x01,0x00,0x00,0xa0,0x01,0x00,0x00,0x70,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,0xa1,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xa2,0x01,0x00,0x00,0xa1,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xa3,0x01,0x00,0x00,
 0x9b,0x01,0x00,0x00,0xa2,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x0f,0x00,0x00,0x00,0xa5,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,
-0x75,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0xa5,0x01,0x00,0x00,0xa3,0x01,0x00,0x00,
+0x75,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0xa7,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,0x7b,0x01,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
 0xa5,0x01,0x00,0x00,0xa7,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xa8,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0x64,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xfd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
 0xa8,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfd,0x00,0x00,0x00,
-0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfd,0x00,0x00,0x00,
+0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0x0c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0xf3,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
@@ -132314,7 +136002,7 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xae,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
 0xc5,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
 0xac,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,
-0xae,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xae,0x01,0x00,0x00,0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
 0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
 0x18,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x17,0x01,0x00,0x00,
@@ -132326,37 +136014,37 @@ unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
 0xae,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
 0x26,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
-0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
+0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x29,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,
 0x27,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,
 0x2a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
 0xd1,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x19,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x19,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x2d,0x01,0x00,0x00,0xae,0x01,0x00,0x00,0x68,0x00,0x00,0x00,
+0x2d,0x01,0x00,0x00,0xae,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0x16,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
 0x18,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
-0x2f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
+0x2f,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
 0xf7,0x00,0x03,0x00,0x31,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0xfa,0x00,0x04,0x00,0x2f,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
 0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x30,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
 0x68,0x01,0x00,0x00,0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0xc0,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
 0xfd,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x22,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x3b,0x01,0x00,0x00,0x3a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x31,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
 const uint64_t mul_mat_vec_q5_1_f32_f32_len = 4352;
 
-unsigned char mul_mat_vec_q5_K_f16_f32_data[] = {
+unsigned char mul_mat_vec_q5_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xf8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -133466,9 +137154,9 @@ unsigned char mul_mat_vec_q5_K_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q5_K_f16_f32_len = 13288;
+const uint64_t mul_mat_vec_q5_k_f16_f32_len = 13288;
 
-unsigned char mul_mat_vec_q5_K_f32_f32_data[] = {
+unsigned char mul_mat_vec_q5_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xd8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -134535,9 +138223,9 @@ unsigned char mul_mat_vec_q5_K_f32_f32_data[] = {
 0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x04,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q5_K_f32_f32_len = 12776;
+const uint64_t mul_mat_vec_q5_k_f32_f32_len = 12776;
 
-unsigned char mul_mat_vec_q6_K_f16_f32_data[] = {
+unsigned char mul_mat_vec_q6_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x26,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -135536,9 +139224,9 @@ unsigned char mul_mat_vec_q6_K_f16_f32_data[] = {
 0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q6_K_f16_f32_len = 11960;
+const uint64_t mul_mat_vec_q6_k_f16_f32_len = 11960;
 
-unsigned char mul_mat_vec_q6_K_f32_f32_data[] = {
+unsigned char mul_mat_vec_q6_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0x16,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
@@ -136516,7 +140204,7 @@ unsigned char mul_mat_vec_q6_K_f32_f32_data[] = {
 0xf8,0x00,0x02,0x00,0xe1,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q6_K_f32_f32_len = 11704;
+const uint64_t mul_mat_vec_q6_k_f32_f32_len = 11704;
 
 unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -136527,45 +140215,45 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
+0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x82,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -136591,66 +140279,66 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1e,0x00,0x0d,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x44,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x47,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
+0x4c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x3c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x53,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x15,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
-0x1e,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x53,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x58,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x59,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x53,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x54,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x4c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x50,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x5b,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x45,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x8f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
-0x90,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
+0x90,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x90,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x95,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,
-0x53,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc9,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc9,0x00,0x00,0x00,
 0xc8,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xca,0x00,0x00,0x00,
 0x0c,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
 0xca,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
@@ -136658,59 +140346,59 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,
 0xea,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
 0xa6,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x07,0x01,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x08,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x08,0x01,0x00,0x00,
 0x07,0x01,0x00,0x00,0x20,0x00,0x04,0x00,0x09,0x01,0x00,0x00,
 0x0c,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
 0x09,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
 0x20,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x0e,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x12,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
-0x17,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x44,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
+0x38,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
 0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
 0x7d,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
 0x82,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x47,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x46,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
 0x1c,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x24,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x5b,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
 0x26,0x01,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x28,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
 0x24,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x2f,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
 0x2f,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x32,0x01,0x00,0x00,0x30,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x43,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
 0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,
 0x32,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x25,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,
+0x73,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,
-0x39,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3e,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
@@ -136720,8 +140408,8 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x98,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
 0x9e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
@@ -136739,63 +140427,63 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x80,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0xa9,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0xa9,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xba,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x36,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0xbe,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x45,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x44,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
-0x46,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x69,0x00,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x44,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
-0x4c,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x46,0x01,0x00,0x00,0x45,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x47,0x01,0x00,0x00,
+0x46,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x2f,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x4e,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x54,0x01,0x00,0x00,
-0xb5,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x69,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
+0x2f,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x54,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
-0x57,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
+0x57,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x59,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
 0x59,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xba,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x60,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xd6,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x60,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x26,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,
 0xd3,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
 0xe3,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x96,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
@@ -136819,9 +140507,9 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
@@ -136829,7 +140517,7 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xee,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0x5f,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x5f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
 0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
@@ -136838,10 +140526,10 @@ unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
 0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
 0x0e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x10,0x01,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
 0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
 0x0f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
@@ -136858,45 +140546,45 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
 0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x5b,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
 0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
 0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x20,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,
-0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x20,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x20,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x57,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x59,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x5b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
+0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4c,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7d,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x82,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
@@ -136922,126 +140610,126 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x0e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x0e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x44,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x3a,0x01,0x00,0x00,0x4e,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
 0x3a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
@@ -137051,8 +140739,8 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x98,0x00,0x00,0x00,
 0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,
 0x7e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x25,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x50,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
 0x9e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xa0,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
@@ -137070,60 +140758,60 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x80,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
 0xa9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0xa9,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0xa9,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xba,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
 0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0x34,0x01,0x00,0x00,0x55,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x34,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0xbe,0x00,0x00,0x00,
-0xb1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x60,0x00,0x00,0x00,
-0x43,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x42,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x53,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x43,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
-0x44,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x69,0x00,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x42,0x01,0x00,0x00,0x67,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
-0x4a,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0xb1,0x00,0x00,0x00,0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,
+0x43,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x43,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0x44,0x01,0x00,0x00,0x41,0x00,0x08,0x00,0x2f,0x00,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
+0x4a,0x01,0x00,0x00,0x72,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
 0x4c,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0x4d,0x01,0x00,0x00,0x4c,0x01,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0xb5,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x69,0x00,0x00,0x00,0x53,0x01,0x00,0x00,0x5b,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
-0x52,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x54,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
+0x2f,0x00,0x00,0x00,0x53,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x52,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x54,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x23,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
-0x55,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x54,0x01,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x56,0x01,0x00,0x00,
+0x55,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
 0x57,0x01,0x00,0x00,0x4d,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x0f,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
 0x57,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
+0x08,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0xba,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
 0xce,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
 0xd1,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x0e,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
 0x59,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
 0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd1,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd1,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x0e,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
 0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
 0xc7,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
 0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
@@ -137147,17 +140835,17 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
 0x5d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
 0xfa,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0xfd,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x0e,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
 0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
 0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xed,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xec,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
 0x03,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
@@ -137167,10 +140855,10 @@ unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
 0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
 0x3c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x95,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x92,0x00,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x0e,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
 0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
 0xd1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x5c,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x22,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
 0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
 0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index e2d17a352..f389934ea 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -8,6 +8,7 @@
 
 #include <algorithm>
 #include <cmath>
+#include <iomanip>
 #include <iostream>
 #include <tuple>
 #include <vector>
@@ -57,6 +58,12 @@ static_assert(K_QUANTS_PER_ITERATION == 1 || K_QUANTS_PER_ITERATION == 2, "K_QUA
         }                                                           \
     } while (0)
 
+#ifdef GGML_VULKAN_DEBUG
+#define VK_LOG_DEBUG(msg) std::cerr << msg << std::endl
+#else
+#define VK_LOG_DEBUG(msg) ((void) 0)
+#endif // GGML_VULKAN_DEBUG
+
 struct ggml_backend_vk_context;
 
 struct vk_queue {
@@ -159,9 +166,7 @@ struct vk_device {
     std::vector<vk_pipeline_ref> pipelines;
 
     ~vk_device() {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "destroy device " << name << std::endl;
-#endif
+        VK_LOG_DEBUG("destroy device " << name);
         device.destroyCommandPool(compute_queue.pool);
         if (!single_queue) {
             device.destroyCommandPool(transfer_queue.pool);
@@ -196,9 +201,7 @@ struct vk_buffer_struct {
         if (size == 0) {
             return;
         }
-#ifdef GGML_VULKAN_DEBUG
-        std::cerr << "~vk_buffer_struct(" << buffer << ", " << size << ")" << std::endl;
-#endif
+        VK_LOG_DEBUG("~vk_buffer_struct(" << buffer << ", " << size << ")");
 
         device->device.freeMemory(device_memory);
         device->device.destroyBuffer(buffer);
@@ -355,6 +358,49 @@ struct ggml_vk_garbage_collector {
     std::vector<vk_context> contexts;
 };
 
+#if defined(GGML_VULKAN_MEMORY_DEBUG) || defined(GGML_VULKAN_DEBUG)
+#include <mutex>
+
+#define VK_LOG_MEMORY(msg) std::cerr << "ggml_vulkan memory: " << msg << std::endl
+
+static std::string format_size(size_t size) {
+    const size_t kib = 1024;
+    const size_t mib = kib * 1024;
+    const size_t gib = mib * 1024;
+
+    std::ostringstream oss;
+    oss << std::fixed << std::setprecision(2);
+
+    if (size >= gib) {
+        oss << static_cast<double>(size) / gib << " GiB";
+    } else if (size >= mib) {
+        oss << static_cast<double>(size) / mib << " MiB";
+    } else if (size >= kib) {
+        oss << static_cast<double>(size) / kib << " KiB";
+    } else {
+        oss << size << " B";
+    }
+
+    return oss.str();
+}
+
+static std::mutex log_mutex;
+
+class vk_memory_logger {
+public:
+    vk_memory_logger(): total_device(0), total_host(0) {}
+    void log_allocation(vk_buffer_ref buf_ref, size_t size);
+    void log_deallocation(vk_buffer_ref buf_ref);
+
+private:
+    std::map<vk::Buffer, size_t> allocations; // Track allocations
+    size_t total_device;
+    size_t total_host;
+};
+#else
+#define VK_LOG_MEMORY(msg) ((void) 0)
+#endif // GGML_VULKAN_MEMORY_DEBUG
+
 struct ggml_backend_vk_context {
     std::string name;
 
@@ -379,8 +425,45 @@ struct ggml_backend_vk_context {
     bool initialized;
 
     size_t idx;
+
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+    vk_memory_logger memory_logger;
+#endif
 };
 
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) {
+    std::lock_guard<std::mutex> guard(log_mutex);
+    vk_buffer buf = buf_ref.lock();
+    const bool device = bool(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eDeviceLocal);
+    const std::string type = device ? "device" : "host";
+    allocations[buf->buffer] = size;
+    total_device += device ? size : 0;
+    total_host += device ? 0 : size;
+    VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
+}
+
+void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) {
+    if (buf_ref.expired() || buf_ref.lock()->size == 0) {
+        return;
+    }
+
+    std::lock_guard<std::mutex> guard(log_mutex);
+    vk_buffer buf = buf_ref.lock();
+    const bool device = bool(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eDeviceLocal);
+    std::string type = device ? "device" : "host";
+    auto it = allocations.find(buf->buffer);
+    total_device -= device ? it->second : 0;
+    total_host -= device ? 0 : it->second;
+    if (it != allocations.end()) {
+        VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
+        allocations.erase(it);
+    } else {
+        VK_LOG_MEMORY("ERROR VULKAN" << buf->ctx->idx << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer);
+    }
+}
+#endif // GGML_VULKAN_MEMORY_DEBUG
+
 struct vk_instance_t {
     vk::Instance instance;
 
@@ -393,15 +476,11 @@ struct vk_instance_t {
 };
 
 static std::shared_ptr<vk_device> ggml_vk_get_device(size_t idx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_device(" << idx << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")");
     static std::weak_ptr<vk_device> devices[GGML_VK_MAX_DEVICES];
 
     if (devices[idx].expired()) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "Initializing new vk_device" << std::endl;
-#endif
+        VK_LOG_DEBUG("Initializing new vk_device");
         std::shared_ptr<vk_device> device = std::make_shared<vk_device>();
         device->initialized = false;
         devices[idx] = device;
@@ -428,9 +507,7 @@ static vk_instance_t vk_instance;
 GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend);
 
 static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array<uint32_t, 3> wg_denoms, std::vector<uint32_t>&& specialization_constants, uint32_t align) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")");
     GGML_ASSERT(parameter_count > 0);
     GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT
 
@@ -531,9 +608,7 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline&
 }
 
 static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_pipeline_destroy_pipeline(" << pipeline->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_pipeline_destroy_pipeline(" << pipeline->name << ")");
     for (auto& pool : pipeline->descriptor_pools) {
         device.destroyDescriptorPool(pool);
     }
@@ -551,9 +626,7 @@ static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline)
 }
 
 static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, uint32_t n) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")");
     if (pipeline->descriptor_sets.size() >= pipeline->descriptor_set_idx + n) {
         // Enough descriptors are available
         return;
@@ -583,16 +656,12 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx
 }
 
 static void ggml_pipeline_cleanup(vk_pipeline& pipeline) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_pipeline_cleanup(" << pipeline->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_pipeline_cleanup(" << pipeline->name << ")");
     pipeline->descriptor_set_idx = 0;
 }
 
 static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx, vk_queue& q) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_cmd_buffer()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()");
     if (q.cmd_buffers.size() > q.cmd_buffer_idx) {
         // Reuse command buffer
         return q.cmd_buffers[q.cmd_buffer_idx++];
@@ -612,9 +681,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx
 }
 
 static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk_queue& q, std::vector<vk_semaphore> wait_semaphores, std::vector<vk_semaphore> signal_semaphores) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_submission()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_submission()");
     vk_submission s;
     s.buffer = ggml_vk_create_cmd_buffer(ctx, q);
     s.wait_semaphores = std::move(wait_semaphores);
@@ -623,9 +690,7 @@ static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk
 }
 
 static void ggml_vk_submit(vk_context * ctx, vk::Fence fence) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_submit(" << ctx->seqs.size() << ", " << fence << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_submit(" << ctx->seqs.size() << ", " << fence << ")");
     if (ctx->seqs.empty()) {
         return;
     }
@@ -699,9 +764,7 @@ static void ggml_vk_submit(vk_context * ctx, vk::Fence fence) {
 }
 
 static uint32_t ggml_vk_find_queue_family_index(std::vector<vk::QueueFamilyProperties>& queue_family_props, const vk::QueueFlags& required, const vk::QueueFlags& avoid, int32_t compute_index, uint32_t min_num_queues) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_find_queue_family_index()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_find_queue_family_index()");
     const uint32_t qfsize = queue_family_props.size();
 
     // Try with avoid preferences first
@@ -747,9 +810,7 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector<vk::QueueFamilyPrope
 }
 
 static void ggml_vk_create_queue(ggml_backend_vk_context * ctx, vk_queue& q, uint32_t queue_family_index, uint32_t queue_index, vk::PipelineStageFlags&& stage_flags) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_queue()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_queue()");
     q.queue_family_index = queue_family_index;
 
     vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), queue_family_index);
@@ -763,9 +824,7 @@ static void ggml_vk_create_queue(ggml_backend_vk_context * ctx, vk_queue& q, uin
 }
 
 static vk_context * ggml_vk_create_context(ggml_backend_vk_context * ctx, vk_queue& q) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_context()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_context()");
     ctx->gc.contexts.emplace_back();
     vk_context * result = &ctx->gc.contexts[ctx->gc.contexts.size() - 1];
     memset((void *) result, 0, sizeof(vk_context));
@@ -775,9 +834,7 @@ static vk_context * ggml_vk_create_context(ggml_backend_vk_context * ctx, vk_que
 }
 
 static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()");
     vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eBinary, 0 };
     vk::SemaphoreCreateInfo ci{};
     ci.setPNext(&tci);
@@ -787,9 +844,7 @@ static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context *
 }
 
 static vk_semaphore * ggml_vk_create_timeline_semaphore(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_timeline_semaphore()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()");
     if (ctx->semaphore_idx >= ctx->gc.tl_semaphores.size()) {
         vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eTimeline, 0 };
         vk::SemaphoreCreateInfo ci{};
@@ -808,9 +863,7 @@ static vk::Event ggml_vk_create_event(ggml_backend_vk_context * ctx) {
 }
 
 static void ggml_vk_queue_cleanup(ggml_backend_vk_context * ctx, vk_queue& q) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_queue_cleanup()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_queue_cleanup()");
     // Requires command buffers to be done
 
     ctx->device->device.resetCommandPool(q.pool);
@@ -830,9 +883,7 @@ static uint32_t find_properties(const vk::PhysicalDeviceMemoryProperties* mem_pr
 }
 
 static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")");
     vk_buffer buf = std::make_shared<vk_buffer_struct>();
 
     if (size == 0) {
@@ -892,8 +943,8 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz
 
     buf->device = ctx->device;
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "Created buffer " << buf->buffer << std::endl;
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+    ctx->memory_logger.log_allocation(buf, size);
 #endif
 
     return buf;
@@ -928,6 +979,14 @@ static vk_buffer ggml_vk_create_buffer_device(ggml_backend_vk_context * ctx, siz
 }
 
 static void ggml_vk_destroy_buffer(vk_buffer& buf) {
+    if (buf == nullptr) {
+        return;
+    }
+
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+    buf->ctx->memory_logger.log_deallocation(buf);
+#endif
+
     buf.reset();
 }
 
@@ -936,9 +995,7 @@ static vk_subbuffer ggml_vk_subbuffer(vk_buffer& buf) {
 }
 
 static void ggml_vk_sync_buffers(vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_sync_buffers()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_sync_buffers()");
     const std::vector<vk::MemoryBarrier> mem_barriers{ { { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite }, { vk::AccessFlagBits::eMemoryRead | vk::AccessFlagBits::eMemoryWrite } } };
 
     ctx->s->buffer.pipelineBarrier(
@@ -952,9 +1009,7 @@ static void ggml_vk_sync_buffers(vk_context * ctx) {
 }
 
 static void ggml_vk_wait_events(vk_context * ctx, std::vector<vk::Event>&& events) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_wait_events()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_wait_events()");
     if (events.empty()) {
         return;
     }
@@ -989,9 +1044,7 @@ static bool ggml_vk_build_shader(ggml_type type) {
 }
 
 static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_load_shaders(" << ctx->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_load_shaders(" << ctx->name << ")");
 
     const std::shared_ptr<vk_device> device = ctx->device;
 
@@ -1042,12 +1095,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
 
     if (device->fp16) {
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_len, matmul_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_len, matmul_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
@@ -1140,12 +1193,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_len, matmul_id_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_len, matmul_id_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
@@ -1231,12 +1284,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
     } else {
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_fp32_len, matmul_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_aligned_fp32_len, matmul_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
@@ -1329,12 +1382,12 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_fp32_len, matmul_id_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_aligned_fp32_len, matmul_id_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
         ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
@@ -1429,11 +1482,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_K_f32_f32", mul_mat_vec_q2_K_f32_f32_len, mul_mat_vec_q2_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_K_f32_f32", mul_mat_vec_q3_K_f32_f32_len, mul_mat_vec_q3_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_K_f32_f32", mul_mat_vec_q4_K_f32_f32_len, mul_mat_vec_q4_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f32_f32", mul_mat_vec_q5_K_f32_f32_len, mul_mat_vec_q5_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f32_f32", mul_mat_vec_q6_K_f32_f32_len, mul_mat_vec_q6_K_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32",  mul_mat_vec_f32_f16_f32_len,  mul_mat_vec_f32_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32",  mul_mat_vec_f16_f16_f32_len,  mul_mat_vec_f16_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
@@ -1442,11 +1495,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_K_f16_f32", mul_mat_vec_q2_K_f16_f32_len, mul_mat_vec_q2_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_K_f16_f32", mul_mat_vec_q3_K_f16_f32_len, mul_mat_vec_q3_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_K_f16_f32", mul_mat_vec_q4_K_f16_f32_len, mul_mat_vec_q4_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_K_f16_f32", mul_mat_vec_q5_K_f16_f32_len, mul_mat_vec_q5_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_K_f16_f32", mul_mat_vec_q6_K_f16_f32_len, mul_mat_vec_q6_K_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",  mul_mat_vec_id_f32_f32_len,  mul_mat_vec_id_f32_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",  mul_mat_vec_id_f16_f32_len,  mul_mat_vec_id_f16_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
@@ -1455,11 +1508,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_K_f32", mul_mat_vec_id_q2_K_f32_len, mul_mat_vec_id_q2_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_K_f32", mul_mat_vec_id_q3_K_f32_len, mul_mat_vec_id_q3_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_K_f32", mul_mat_vec_id_q4_K_f32_len, mul_mat_vec_id_q4_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_K_f32", mul_mat_vec_id_q5_K_f32_len, mul_mat_vec_id_q5_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_K_f32", mul_mat_vec_id_q6_K_f32_len, mul_mat_vec_id_q6_K_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
     // dequant shaders
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
@@ -1468,11 +1521,11 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_K", dequant_q2_K_len, dequant_q2_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_K", dequant_q3_K_len, dequant_q3_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_K", dequant_q4_K_len, dequant_q4_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_K", dequant_q5_K_len, dequant_q5_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_K", dequant_q6_K_len, dequant_q6_K_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
 
     // get_rows
     ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32",  get_rows_f32_len,  get_rows_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
@@ -1538,9 +1591,7 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
 static void ggml_vk_print_gpu_info(size_t idx) {
     GGML_ASSERT(idx < vk_instance.device_indices.size());
     size_t dev_num = vk_instance.device_indices[idx];
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_print_gpu_info(" << dev_num << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_print_gpu_info(" << dev_num << ")");
     GGML_ASSERT(vk_instance.initialized);
 
     std::vector<vk::PhysicalDevice> devices = vk_instance.instance.enumeratePhysicalDevices();
@@ -1617,9 +1668,7 @@ void ggml_vk_instance_init() {
     if (vk_instance_initialized) {
         return;
     }
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_instance_init()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_instance_init()");
 
     vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION };
 
@@ -1710,9 +1759,7 @@ void ggml_vk_instance_init() {
                 } else {
                     // There can be two physical devices corresponding to the same GPU if there are 2 different drivers
                     // This can cause error when splitting layers aross the devices, need to keep only 1
-#ifdef GGML_VULKAN_DEBUG
-                    std::cerr << "Device " << i << " and device " << *old_device << " have the same device id" << std::endl;
-#endif
+                    VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same device id");
 
                     vk::PhysicalDeviceProperties2 old_prop;
                     vk::PhysicalDeviceDriverProperties old_driver;
@@ -1760,16 +1807,11 @@ void ggml_vk_instance_init() {
                         vk_instance.device_indices.erase(r, vk_instance.device_indices.end());
                         vk_instance.device_indices.push_back(i);
 
-#ifdef GGML_VULKAN_DEBUG
-                        std::cerr << "Prioritize device " << i << " driver " << new_driver.driverName << " over device " << *old_device << " driver " << old_driver.driverName << std::endl;
-#endif
+                        VK_LOG_DEBUG("Prioritize device " << i << " driver " << new_driver.driverName << " over device " << *old_device << " driver " << old_driver.driverName);
                     }
-#ifdef GGML_VULKAN_DEBUG
                     else {
-                        std::cerr << "Prioritize device " << *old_device << " driver " << old_driver.driverName << " over device " << i << " driver " << new_driver.driverName << std::endl;
-
+                        VK_LOG_DEBUG("Prioritize device " << *old_device << " driver " << old_driver.driverName << " over device " << i << " driver " << new_driver.driverName << std::endl);
                     }
-#endif
                 }
             }
         }
@@ -1792,9 +1834,7 @@ void ggml_vk_instance_init() {
 static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) {
     GGML_ASSERT(idx < vk_instance.device_indices.size());
     size_t dev_num = vk_instance.device_indices[idx];
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_init(" << ctx->name << ", " << dev_num << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << dev_num << ")");
     ggml_vk_instance_init();
 
     std::vector<vk::PhysicalDevice> devices = vk_instance.instance.enumeratePhysicalDevices();
@@ -1967,9 +2007,7 @@ static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) {
 }
 
 static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type type) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_to_fp16()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_to_fp16()");
     switch (type) {
         case GGML_TYPE_F32:
         case GGML_TYPE_Q4_0:
@@ -1991,9 +2029,7 @@ static vk_pipeline ggml_vk_get_to_fp16(ggml_backend_vk_context * ctx, ggml_type
 }
 
 static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_context * ctx, ggml_type src0_type, ggml_type src1_type) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_mul_mat_mat_pipeline()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_mul_mat_mat_pipeline()");
     if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) {
         return ctx->device->pipeline_matmul_f32;
     }
@@ -2029,9 +2065,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_pipeline(ggml_backend_vk_conte
 }
 
 static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_dequantize_mul_mat_vec()");
     GGML_ASSERT(b_type == GGML_TYPE_F32 || b_type == GGML_TYPE_F16);
 
     switch (a_type) {
@@ -2056,9 +2090,7 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec(ggml_backend_vk_context *
 }
 
 static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_context * ctx, ggml_type src0_type, ggml_type src1_type) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_mul_mat_mat_id_pipeline()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_mul_mat_mat_id_pipeline()");
     if (src0_type == GGML_TYPE_F32 && src1_type == GGML_TYPE_F32) {
         return ctx->device->pipeline_matmul_id_f32;
     }
@@ -2091,9 +2123,7 @@ static vk_matmul_pipeline ggml_vk_get_mul_mat_mat_id_pipeline(ggml_backend_vk_co
 }
 
 static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context * ctx, ggml_type a_type, ggml_type b_type) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_get_dequantize_mul_mat_vec()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_get_dequantize_mul_mat_vec()");
     GGML_ASSERT(b_type == GGML_TYPE_F32);
 
     switch (a_type) {
@@ -2118,9 +2148,9 @@ static vk_pipeline ggml_vk_get_dequantize_mul_mat_vec_id(ggml_backend_vk_context
 }
 
 static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_pool_malloc(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_pool_malloc(" << size << ")");
+    VK_LOG_MEMORY("ggml_vk_pool_malloc");
+
     int best_i = -1;
     size_t best_size = std::numeric_limits<size_t>::max(); //smallest unused buffer that fits our needs
     int worst_i = -1;
@@ -2148,13 +2178,11 @@ static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size)
         ggml_vk_destroy_buffer(b);
     }
 
-    return ggml_vk_create_buffer_check(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal);
+    return ggml_vk_create_buffer_device(ctx, size);
 }
 
 static void ggml_vk_pool_free(ggml_backend_vk_context * ctx, vk_buffer& buffer) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_pool_free(" << buffer->size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_pool_free(" << buffer->size << ")");
     for (int i = 0; i < MAX_VK_BUFFERS; ++i) {
         vk_buffer& b = ctx->buffer_pool[i];
         if (b == nullptr) {
@@ -2175,6 +2203,8 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_
         }
     }
 
+    VK_LOG_MEMORY("ggml_vk_create_buffer_temp(" << size << ")");
+
     // Otherwise create new buffer
     vk_buffer buf = ggml_vk_pool_malloc(ctx, size);
     ctx->gc.temp_buffers.push_back(buf);
@@ -2183,9 +2213,7 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_
 }
 
 static void * ggml_vk_host_malloc(ggml_backend_vk_context * ctx, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_host_malloc(" << size << ")" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_vk_host_malloc(" << size << ")");
     vk_buffer buf = ggml_vk_create_buffer(ctx, size,
         vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
         vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
@@ -2207,9 +2235,7 @@ static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) {
     if (ptr == nullptr) {
         return;
     }
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_host_free(" << ptr << ")" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_vk_host_free(" << ptr << ")");
     vk_buffer buf;
     size_t index;
     for (size_t i = 0; i < ctx->pinned_memory.size(); i++) {
@@ -2261,13 +2287,11 @@ static void ggml_vk_dispatch_pipeline(ggml_backend_vk_context * ctx, vk_context
     const uint32_t wg0 = CEIL_DIV(elements[0], pipeline->wg_denoms[0]);
     const uint32_t wg1 = CEIL_DIV(elements[1], pipeline->wg_denoms[1]);
     const uint32_t wg2 = CEIL_DIV(elements[2], pipeline->wg_denoms[2]);
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_dispatch_pipeline(" << pipeline->name << ", {";
+    VK_LOG_DEBUG("ggml_vk_dispatch_pipeline(" << pipeline->name << ", {";
     for (auto& buffer : buffers) {
         std::cerr << "(" << buffer.buffer << ", " << buffer.offset << ", " << buffer.size << "), ";
     }
-    std::cerr << "}, (" << wg0 << "," << wg1 << "," << wg2 << "))" << std::endl;
-#endif
+    std::cerr << "}, (" << wg0 << "," << wg1 << "," << wg2 << "))");
     std::vector<vk::DescriptorBufferInfo> descriptor_buffer_infos;
     std::vector<vk::WriteDescriptorSet> write_descriptor_sets;
     GGML_ASSERT(pipeline->descriptor_set_idx < pipeline->descriptor_sets.size());
@@ -2300,9 +2324,7 @@ static void ggml_vk_end_submission(vk_submission& s, std::vector<vk_semaphore> w
 }
 
 static void ggml_vk_ctx_end(vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_ctx_end(" << ctx << ", " << ctx->seqs.size() << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_ctx_end(" << ctx << ", " << ctx->seqs.size() << ")");
     if (ctx->s == nullptr) {
         return;
     }
@@ -2312,9 +2334,7 @@ static void ggml_vk_ctx_end(vk_context * ctx) {
 }
 
 static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_ctx_begin(" << ctx << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_ctx_begin(" << ctx << ")");
     if (subctx->s != nullptr) {
         ggml_vk_ctx_end(subctx);
     }
@@ -2324,9 +2344,7 @@ static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx
 }
 
 static size_t ggml_vk_align_size(size_t width, size_t align) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_align_size(" << width << ", " << align << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_align_size(" << width << ", " << align << ")");
     return CEIL_DIV(width, align) * align;
 }
 
@@ -2340,6 +2358,7 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect
 
 static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, size_t size) {
     if (ctx->sync_staging == nullptr || ctx->sync_staging->size < size) {
+        VK_LOG_MEMORY("ggml_vk_ensure_sync_staging_buffer(" << size << ")");
         ggml_vk_destroy_buffer(ctx->sync_staging);
         ctx->sync_staging = ggml_vk_create_buffer_check(ctx, size,
             vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
@@ -2348,9 +2367,7 @@ static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, si
 }
 
 static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * tensor, bool sync_staging = false) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_write_nc_async(" << tensor << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_write_nc_async(" << tensor << ")");
     GGML_ASSERT(!ggml_is_contiguous(tensor));
     // Buffer is already mapped
     if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
@@ -2455,9 +2472,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
 }
 
 static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")");
     // Make sure ctx owns the buffer
     GGML_ASSERT(dst->ctx == ctx);
 
@@ -2492,9 +2507,7 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont
         subctx->s->buffer.copyBuffer(buf->buffer, dst->buffer, slices);
         return;
     }
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "STAGING" << std::endl;
-#endif
+    VK_LOG_DEBUG("STAGING");
 
     // Staging buffer required
     vk_buffer staging = ctx->staging;
@@ -2529,16 +2542,12 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont
 }
 
 static void ggml_vk_buffer_write_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_write_async(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")");
     return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, size, size, 1, sync_staging);
 }
 
 static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_write_2d(" << width << ", " << height << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")");
     // Buffer is already mapped
     if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
         GGML_ASSERT(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent);
@@ -2563,16 +2572,12 @@ static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& ds
 }
 
 static void ggml_vk_buffer_write(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_write(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")");
     ggml_vk_buffer_write_2d(ctx, dst, offset, src, 0, size, 1);
 }
 
 static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")");
     GGML_ASSERT(width > 0);
     GGML_ASSERT(height > 0);
     GGML_ASSERT(src != nullptr);
@@ -2606,9 +2611,7 @@ static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_conte
 
         return;
     }
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "STAGING" << std::endl;
-#endif
+    VK_LOG_DEBUG("STAGING");
 
     // Fall back to staging buffer
     vk_buffer staging = ctx->staging;
@@ -2635,9 +2638,7 @@ static void ggml_vk_buffer_read_async(ggml_backend_vk_context * ctx, vk_context
 }
 
 static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, size_t offset, void * dst, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_read(" << offset << ", " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_read(" << offset << ", " << size << ")");
     if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
         GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent);
 
@@ -2659,9 +2660,7 @@ static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, s
 }
 
 static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_copy_async(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")");
     // Make sure both buffers are on same ctx
     GGML_ASSERT(src->ctx == dst->ctx);
 
@@ -2672,9 +2671,7 @@ static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t d
 
 static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
     if (src->ctx == dst->ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")");
         // Copy within the device
         ggml_backend_vk_context * ctx = src->ctx;
 
@@ -2686,9 +2683,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr
         VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences");
         ctx->device->device.resetFences({ ctx->fence });
     } else {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")");
         // Copy device to device
         ggml_backend_vk_context * src_ctx = src->ctx;
         ggml_backend_vk_context * dst_ctx = dst->ctx;
@@ -2706,9 +2701,7 @@ static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& sr
 }
 
 static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, uint32_t c, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")");
     // Make sure ctx owns the buffer
     GGML_ASSERT(dst->ctx == ctx);
 
@@ -2723,9 +2716,7 @@ static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst,
 }
 
 static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")");
     const uint64_t ne0 = src->ne[0];
     const uint64_t ne1 = src->ne[1];
     const uint64_t nb0 = src->nb[0];
@@ -2753,9 +2744,7 @@ static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * su
 }
 
 static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, const ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_d2h_tensor_2d()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_d2h_tensor_2d()");
     const uint64_t ne0 = dst->ne[0];
     const uint64_t ne1 = dst->ne[1];
     const uint64_t ne2 = dst->ne[2];
@@ -2779,9 +2768,7 @@ static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * su
 }
 
 static uint32_t ggml_vk_guess_split_k(int m, int n, int k) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_guess_split_k(" << m << ", " << n << ", " << k << ")");
     // if (k > 128 && (m < 128 || n < 128) && m > 2 && n > 2) {
     //     return 4;
     // }
@@ -2813,9 +2800,7 @@ static vk_pipeline ggml_vk_guess_matmul_pipeline_intel(ggml_backend_vk_context *
 }
 
 static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n, bool aligned) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_guess_matmul_pipeline(" << m << ", " << n << ", " << aligned << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline(" << m << ", " << n << ", " << aligned << ")");
     switch (ctx->device->vendor_id) {
     case VK_VENDOR_ID_AMD:
         return ggml_vk_guess_matmul_pipeline_amd(ctx, mmp, m, n, aligned);
@@ -2837,9 +2822,7 @@ static vk_pipeline ggml_vk_guess_matmul_pipeline(ggml_backend_vk_context * ctx,
 }
 
 static uint32_t ggml_vk_guess_matmul_pipeline_align(ggml_backend_vk_context * ctx, vk_matmul_pipeline& mmp, int m, int n) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_guess_matmul_pipeline_align(" << m << ", " << n << ")");
     return ggml_vk_guess_matmul_pipeline(ctx, mmp, m, n, true)->align;
 }
 
@@ -2849,9 +2832,7 @@ static void ggml_vk_matmul(
         uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d,
         uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d,
         uint32_t split_k, uint32_t batch, uint32_t ne02, uint32_t ne12, uint32_t broadcast2, uint32_t broadcast3) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ")" << std::endl;
-#endif
+        VK_LOG_DEBUG("ggml_vk_matmul(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), split_k: (" << (split_k_buffer.buffer != nullptr ? split_k_buffer.buffer->buffer : VK_NULL_HANDLE) << ", " << split_k_buffer.offset << ", " << split_k_buffer.size << "), m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", split_k: " << split_k << ", batch: " << batch << ", ne02: " << ne02 << ", ne12: " << ne12 << ", broadcast2: " << broadcast2 << ", broadcast3: " << broadcast3 << ")");
     ggml_vk_sync_buffers(subctx);
     if (split_k == 1) {
         const vk_mat_mat_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d, k, ne02, ne12, broadcast2, broadcast3 };
@@ -2875,12 +2856,10 @@ static void ggml_vk_matmul_id(
         uint32_t m, uint32_t n, uint32_t k, uint32_t stride_a, uint32_t stride_b, uint32_t stride_d,
         uint32_t batch_stride_a, uint32_t batch_stride_b, uint32_t batch_stride_d,
         uint32_t n_as, uint32_t nei0, uint32_t nei1, uint32_t nbi1, uint32_t ne11) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_matmul_id(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), ids: (" << ids.buffer->buffer << ", " << ids.offset << ", " << ids.size << "), " <<
+    VK_LOG_DEBUG("ggml_vk_matmul_id(a: (" << a.buffer->buffer << ", " << a.offset << ", " << a.size << "), b: (" << b.buffer->buffer << ", " << b.offset << ", " << b.size << "), d: (" << d.buffer->buffer << ", " << d.offset << ", " << d.size << "), ids: (" << ids.buffer->buffer << ", " << ids.offset << ", " << ids.size << "), " <<
         "m: " << m << ", n: " << n << ", k: " << k << ", stride_a: " << stride_a << ", stride_b: " << stride_b << ", stride_d: " << stride_d << ", " <<
         "batch_stride_a: " << batch_stride_a << ", batch_stride_b: " << batch_stride_b << ", batch_stride_d: " << batch_stride_d << ", " <<
-        "n_as: " << n_as << ", nei0: " << nei0 << ", nei1: " << nei1 << ", nbi1: " << nbi1 << ", ne11: " << ne11 << ")" << std::endl;
-#endif
+        "n_as: " << n_as << ", nei0: " << nei0 << ", nei1: " << nei1 << ", nbi1: " << nbi1 << ", ne11: " << ne11 << ")");
     ggml_vk_sync_buffers(subctx);
     const vk_mat_mat_id_push_constants pc = { m, n, k, stride_a, stride_b, stride_d, batch_stride_a, batch_stride_b, batch_stride_d,
                                               nei0, nei1, nbi1, ne11 };
@@ -2910,10 +2889,8 @@ static vk_pipeline ggml_vk_get_cpy_pipeline(ggml_backend_vk_context * ctx, ggml_
 }
 
 static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context * subctx, vk_pipeline pipeline, const ggml_tensor * tensor, vk_subbuffer&& in, vk_subbuffer&& out) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), ";
-    std::cerr << "buffer in size=" << in.buffer->size << ", buffer out size=" << out.buffer->size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_cpy_to_contiguous((" << tensor << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << "), ";
+    std::cerr << "buffer in size=" << in.buffer->size << ", buffer out size=" << out.buffer->size << ")");
     const int tensor_type_size = ggml_type_size(tensor->type);
 
     const uint32_t ne = ggml_nelements(tensor);
@@ -2930,11 +2907,9 @@ static void ggml_vk_cpy_to_contiguous(ggml_backend_vk_context * ctx, vk_context
 }
 
 static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
 
@@ -3105,11 +3080,9 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
 }
 
 static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_vec_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
 
@@ -3260,11 +3233,9 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
 }
 
 static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
     GGML_ASSERT(src0->nb[0] <= src0->nb[1] && src0->nb[2] <= src0->nb[3]);  // NOLINT
     GGML_ASSERT(src1->nb[0] <= src1->nb[1] && src1->nb[2] <= src1->nb[3]);  // NOLINT
@@ -3333,11 +3304,9 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
 }
 
 static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_nc_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(!ggml_is_transposed(src0));
     GGML_ASSERT(!ggml_is_transposed(src1));
     GGML_ASSERT(!ggml_is_permuted(src0));
@@ -3410,9 +3379,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
 }
 
 static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_mul_mat(" << src0 << ", " << src1 << ", " << dst << ")");
     if (src0->type == GGML_TYPE_F16 && ggml_is_permuted(src0) && ggml_is_permuted(src1) && dst->ne[1] == 1) {
         ggml_vk_mul_mat_vec_p021_f16_f32(ctx, subctx, src0, src1, dst);
     } else if (src0->type == GGML_TYPE_F16 && !ggml_is_contiguous(src0) && !ggml_is_transposed(src1) && dst->ne[1] == 1) {
@@ -3425,12 +3392,10 @@ static void ggml_vk_mul_mat(ggml_backend_vk_context * ctx, vk_context * subctx,
 }
 
 static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
     std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ids->type == GGML_TYPE_I32);
 
@@ -3616,12 +3581,10 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
 }
 
 static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * ids, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_vec_id_q_f16((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
     std::cerr << "), (" << ids << ", name=" << ids->name << ", type=" << ids->type << ", ne0=" << ids->ne[0] << ", ne1=" << ids->ne[1] << ", ne2=" << ids->ne[2] << ", ne3=" << ids->ne[3] << ", nb0=" << ids->nb[0] << ", nb1=" << ids->nb[1] << ", nb2=" << ids->nb[2] << ", nb3=" << ids->nb[3];
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_vk_dim01_contiguous(src0) || src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ggml_vk_dim01_contiguous(src1) || src1->type == GGML_TYPE_F32 || src1->type == GGML_TYPE_F16);  // NOLINT
     GGML_ASSERT(ids->type == GGML_TYPE_I32);
@@ -3784,9 +3747,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
 }
 
 static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_mul_mat_id(" << src0 << ", " << src1 << ", " << src2 << ", " << dst << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_mul_mat_id(" << src0 << ", " << src1 << ", " << src2 << ", " << dst << ")");
     if (src2->ne[1] == 1 && (src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 || ggml_is_quantized(src0->type))) {
         ggml_vk_mul_mat_vec_id_q_f16(ctx, subctx, src0, src1, src2, dst);
     } else {
@@ -4020,16 +3981,14 @@ static bool ggml_vk_op_supports_incontiguous(ggml_op op) {
 
 template<typename PC>
 static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst, ggml_op op, const PC&& pc) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_op_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     if (src1 != nullptr) {
         std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
     }
     if (src2 != nullptr) {
         std::cerr << "), (" << src2 << ", name=" << src2->name << ", type=" << src2->type << ", ne0=" << src2->ne[0] << ", ne1=" << src2->ne[1] << ", ne2=" << src2->ne[2] << ", ne3=" << src2->ne[3] << ", nb0=" << src2->nb[0] << ", nb1=" << src2->nb[1] << ", nb2=" << src2->nb[2] << ", nb3=" << src2->nb[3];
     }
-    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")" << std::endl;
-#endif
+    std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "), " << ggml_op_name(op) << ")");
     GGML_ASSERT(op == GGML_OP_GET_ROWS || (!ggml_is_quantized(src0->type) && (src1 == nullptr || !ggml_is_quantized(src1->type))));  // NOLINT
     GGML_ASSERT(ggml_vk_op_supports_incontiguous(op) || ggml_vk_dim01_contiguous(src0));  // NOLINT
     GGML_ASSERT(dst->extra != nullptr);
@@ -4527,9 +4486,7 @@ static void ggml_vk_print_matrix_area(const void * data, ggml_type type, int ne0
 
 template <typename X_TYPE, typename Y_TYPE>
 static void ggml_vk_test_matmul(ggml_backend_vk_context * ctx, size_t m, size_t n, size_t k, size_t batch, size_t num_it, int split_k, int shader_size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_test_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << shader_size << ")");
     const size_t x_ne = m * k * batch;
     const size_t y_ne = k * n * batch;
     const size_t d_ne = m * n * batch;
@@ -4943,9 +4900,7 @@ static void ggml_vk_test_h2d_nc(ggml_backend_vk_context * ctx, size_t ne0, size_
 }
 
 static void ggml_vk_test_transfer(ggml_backend_vk_context * ctx, size_t ne, bool pinned) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_test_transfer(" << ne << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_test_transfer(" << ne << ")");
     // Check transfers are correct
     vk_buffer buffer = ggml_vk_create_buffer_check(ctx, sizeof(float) * ne, vk::MemoryPropertyFlagBits::eDeviceLocal);
 
@@ -5029,9 +4984,7 @@ static void ggml_vk_quantize_data(const float * from, void * to, size_t ne, ggml
 }
 
 static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_type quant) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_test_dequant(" << ne << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_test_dequant(" << ne << ")");
     const size_t x_sz = sizeof(float) * ne;
     const size_t x_sz_f16 = sizeof(ggml_fp16_t) * ne;
     const size_t qx_sz = ne * ggml_type_size(quant)/ggml_blck_size(quant);
@@ -5108,9 +5061,7 @@ static void ggml_vk_test_dequant(ggml_backend_vk_context * ctx, size_t ne, ggml_
 }
 
 static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m, size_t n, size_t k, size_t batch, size_t num_it, size_t split_k, size_t shader_size, ggml_type quant) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_test_dequant_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << ggml_type_name(quant) << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_test_dequant_matmul(" << m << ", " << n << ", " << k << ", " << batch << ", " << num_it << ", " << split_k << ", " << ggml_type_name(quant) << ")");
     const size_t x_ne = m * k * batch;
     const size_t y_ne = k * n * batch;
     const size_t d_ne = m * n * batch;
@@ -5294,9 +5245,7 @@ static void ggml_vk_test_dequant_matmul(ggml_backend_vk_context * ctx, size_t m,
 #endif
 
 static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_create_extra(" << tensor << " (" << tensor->name << ", " << ggml_op_name(tensor->op) << "))");
     ggml_tensor_extra_gpu * extra = new ggml_tensor_extra_gpu;
     extra->reset();
     tensor->extra = extra;
@@ -5304,9 +5253,7 @@ static ggml_tensor_extra_gpu * ggml_vk_tensor_create_extra(ggml_tensor * tensor)
 }
 
 static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggml_tensor * node){
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_preallocate_buffers_graph(" << node << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_preallocate_buffers_graph(" << node << ")");
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) node->extra;
 
     if (extra == nullptr) {
@@ -5341,7 +5288,7 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
 
     bool mmp = (use_src0 && use_src1 && src1_type == GGML_TYPE_F32) ? ggml_vk_get_mul_mat_mat_pipeline(ctx, src0_type, y_non_contig ? GGML_TYPE_F16 : src1->type) != nullptr : false;
 
-    const bool qx_needs_dequant = use_src0 && (mmp || x_non_contig);
+    const bool qx_needs_dequant = use_src0 && (!mmp || x_non_contig);
     const bool qy_needs_dequant = use_src1 && ((src1->type != GGML_TYPE_F16 && !y_f32_kernel) || y_non_contig);
 
     int split_k;
@@ -5419,9 +5366,6 @@ static void ggml_vk_preallocate_buffers_graph(ggml_backend_vk_context * ctx, ggm
 }
 
 static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_preallocate_buffers(x_size: " << ctx->prealloc_size_x << " y_size: " << ctx->prealloc_size_y << " split_k_size: " << ctx->prealloc_size_split_k << ")" << std::endl;
-#endif
 #if defined(GGML_VULKAN_RUN_TESTS)
     ctx->staging = ggml_vk_create_buffer_check(ctx, 100ul * 1024ul * 1024ul,
         vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
@@ -5560,6 +5504,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
 #endif
 
     if (ctx->prealloc_x == nullptr || (ctx->prealloc_size_x > 0 && ctx->prealloc_x->size < ctx->prealloc_size_x)) {
+        VK_LOG_MEMORY("ggml_vk_preallocate_buffers(x_size: " << ctx->prealloc_size_x << ")");
         // Resize buffer
         if (ctx->prealloc_x != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_x);
@@ -5567,6 +5512,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         ctx->prealloc_x = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_x);
     }
     if (ctx->prealloc_y == nullptr || (ctx->prealloc_size_y > 0 && ctx->prealloc_y->size < ctx->prealloc_size_y)) {
+        VK_LOG_MEMORY("ggml_vk_preallocate_buffers(y_size: " << ctx->prealloc_size_y << ")");
         // Resize buffer
         if (ctx->prealloc_y != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_y);
@@ -5574,6 +5520,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         ctx->prealloc_y = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_y);
     }
     if (ctx->prealloc_split_k == nullptr || (ctx->prealloc_size_split_k > 0 && ctx->prealloc_split_k->size < ctx->prealloc_size_split_k)) {
+        VK_LOG_MEMORY("ggml_vk_preallocate_buffers(split_k_size: " << ctx->prealloc_size_split_k << ")");
         // Resize buffer
         if (ctx->prealloc_split_k != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_split_k);
@@ -5581,6 +5528,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_split_k);
     }
     if (ctx->staging == nullptr || (ctx->staging_size > 0 && ctx->staging->size < ctx->staging_size)) {
+        VK_LOG_MEMORY("ggml_vk_preallocate_buffers(staging_size: " << ctx->staging_size << ")");
         // Resize buffer
         if (ctx->staging != nullptr) {
             ggml_vk_destroy_buffer(ctx->staging);
@@ -5598,9 +5546,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
         return;
     }
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_build_graph(" << node << ", " << ggml_op_name(node->op) << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_build_graph(" << node << ", " << ggml_op_name(node->op) << ")");
     ctx->semaphore_idx = 0;
     ctx->staging_offset = 0;
 
@@ -5823,9 +5769,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
         return true;
     }
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")");
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
     ggml_vk_check_results_0(ctx, params, tensor);
@@ -5860,9 +5804,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
 
 // Clean up after graph processing is done
 static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_graph_cleanup()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_graph_cleanup()");
     for (auto& buffer : ctx->gc.temp_buffers) {
         ggml_vk_pool_free(ctx, buffer);
     }
@@ -5906,9 +5848,7 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
 
 // Clean up on backend free
 static void ggml_vk_cleanup(ggml_backend_vk_context * ctx) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_cleanup(" << ctx->idx << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->idx << ")");
     ggml_vk_graph_cleanup(ctx);
 
     ggml_vk_destroy_buffer(ctx->prealloc_x);
@@ -6003,9 +5943,7 @@ GGML_CALL static bool ggml_backend_buffer_is_vk(ggml_backend_buffer_t buffer) {
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_free_buffer()" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_backend_vk_buffer_free_buffer()");
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
     ggml_vk_destroy_buffer(ctx->dev_buffer);
     delete ctx;
@@ -6018,9 +5956,7 @@ GGML_CALL static void * ggml_backend_vk_buffer_get_base(ggml_backend_buffer_t bu
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_init_tensor(" << buffer << " (" << buffer->context << "), " << tensor << ")");
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
     if (tensor->view_src != nullptr) {
@@ -6036,9 +5972,7 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
@@ -6049,9 +5983,7 @@ GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t bu
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
@@ -6109,9 +6041,7 @@ GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buff
 }
 
 GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_backend_vk_buffer_type_alloc_buffer(" << size << ")");
     ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context;
 
     vk_buffer dev_buffer = nullptr;
@@ -6154,9 +6084,7 @@ static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = {
 GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num) {
     ggml_vk_instance_init();
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_buffer_type(" << dev_num << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_buffer_type(" << dev_num << ")");
 
     GGML_ASSERT(dev_num < vk_instance.device_indices.size());
 
@@ -6180,16 +6108,12 @@ GGML_CALL static const char * ggml_backend_vk_host_buffer_name(ggml_backend_buff
 }
 
 GGML_CALL static void ggml_backend_vk_host_buffer_free_buffer(ggml_backend_buffer_t buffer) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_host_buffer_free_buffer()" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_backend_vk_host_buffer_free_buffer()");
     ggml_vk_host_free(&vk_instance.contexts[0], buffer->context);
 }
 
 GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")" << std::endl;
-#endif
+    VK_LOG_MEMORY("ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")");
     size += 32;  // Behave like the CPU buffer type
     void * ptr = nullptr;
     try {
@@ -6246,9 +6170,7 @@ GGML_CALL static const char * ggml_backend_vk_name(ggml_backend_t backend) {
 
 GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend) {
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_free(" << ctx->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_free(" << ctx->name << ")");
 
     size_t idx = ctx->idx;
 
@@ -6272,9 +6194,7 @@ GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_t
 }
 
 GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_set_tensor_async(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
@@ -6292,9 +6212,7 @@ GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, g
 }
 
 GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_get_tensor_async(" << size << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
@@ -6312,9 +6230,7 @@ GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, c
 }
 
 GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_cpy_tensor_async()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     if ((dst->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) {
         ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra;
@@ -6337,9 +6253,7 @@ GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, c
 }
 
 GGML_CALL static void ggml_backend_vk_synchronize(ggml_backend_t backend) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_synchronize()" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_synchronize()");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     if(ctx->transfer_ctx == nullptr) {
         return;
@@ -6367,9 +6281,7 @@ static bool ggml_vk_is_empty(ggml_tensor * node) {
 }
 
 GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backend, ggml_cgraph * cgraph) {
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_graph_compute(" << cgraph->n_nodes << " nodes)");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
 
     for (int i = 0; i < cgraph->n_nodes; i++) {
@@ -6582,9 +6494,7 @@ GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num) {
     if (vk_instance.initialized[dev_num]) {
         return vk_instance.backends[dev_num];
     }
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_backend_vk_init(" << dev_num << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_backend_vk_init(" << dev_num << ")");
 
     ggml_backend_vk_context * ctx = &vk_instance.contexts[dev_num];
     ggml_vk_init(ctx, dev_num);
@@ -6800,9 +6710,7 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
         return;
     }
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_check_results_0(" << tensor->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_check_results_0(" << tensor->name << ")");
 
     ggml_tensor * src0 = tensor->src[0];
     ggml_tensor * src1 = tensor->src[1];
@@ -7108,9 +7016,7 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
         return;
     }
 
-#ifdef GGML_VULKAN_DEBUG
-    std::cerr << "ggml_vk_check_results_1(" << tensor->name << ")" << std::endl;
-#endif
+    VK_LOG_DEBUG("ggml_vk_check_results_1(" << tensor->name << ")");
 
     ggml_tensor * src0 = tensor->src[0];
     ggml_tensor * src1 = tensor->src[1];
diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py
index 400a63f57..38914eedb 100644
--- a/ggml_vk_generate_shaders.py
+++ b/ggml_vk_generate_shaders.py
@@ -4,2727 +4,43 @@ import logging
 import argparse
 import asyncio
 import os
-import sys
-from tempfile import gettempdir, NamedTemporaryFile
+from tempfile import gettempdir
 
 logger = logging.getLogger("ggml-vk-generate-shaders")
 
-shader_f32 = """
-#define FLOAT_TYPE float
-"""
-shader_f16 = """
-#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
-#define FLOAT_TYPE float16_t
-"""
-shader_int8_ext = """
-#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
-"""
-
-# Type-specific defines
-shader_f32_defines = """
-#define QUANT_K 1
-#define QUANT_R 1
-
-#define A_TYPE float
-"""
-shader_f16_defines = """
-#define QUANT_K 1
-#define QUANT_R 1
-
-#define A_TYPE float16_t
-"""
-shader_q4_0_defines = """
-#define QUANT_K 32
-#define QUANT_R 2
-
-struct block_q4_0
-{
-    float16_t d;
-    uint8_t qs[16];
-};
-
-#define A_TYPE block_q4_0
-"""
-shader_q4_1_defines = """
-#define QUANT_K 32
-#define QUANT_R 2
-
-struct block_q4_1
-{
-    float16_t d;
-    float16_t m;
-    uint8_t qs[16];
-};
-
-#define A_TYPE block_q4_1
-"""
-shader_q5_0_defines = """
-#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
-#define QUANT_K 32
-#define QUANT_R 2
-
-struct block_q5_0
-{
-    float16_t d;
-    uint16_t qh[2];
-    uint8_t qs[16];
-};
-
-#define A_TYPE block_q5_0
-"""
-shader_q5_1_defines = """
-#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
-#define QUANT_K 32
-#define QUANT_R 2
-
-struct block_q5_1
-{
-    float16_t d;
-    float16_t m;
-    uint qh;
-    uint8_t qs[16];
-};
-
-#define A_TYPE block_q5_1
-"""
-shader_q8_0_defines = """
-#define QUANT_K 32
-#define QUANT_R 1
-
-struct block_q8_0
-{
-    float16_t d;
-    int8_t qs[32];
-};
-
-#define A_TYPE block_q8_0
-"""
-
-# K-quants
-shader_q2_K_defines = """
-#define QUANT_K 256
-
-struct block_q2_K
-{
-    uint8_t scales[QUANT_K/16];
-    uint8_t qs[QUANT_K/4];
-    f16vec2 d;
-};
-
-#define A_TYPE block_q2_K
-"""
-shader_q3_K_defines = """
-#define QUANT_K 256
-
-struct block_q3_K
-{
-    uint8_t hmask[QUANT_K/8];
-    uint8_t qs[QUANT_K/4];
-    uint8_t scales[12];
-    float16_t d;
-};
-
-#define A_TYPE block_q3_K
-"""
-shader_q4_K_defines = """
-#define QUANT_K 256
-
-struct block_q4_K
-{
-    f16vec2 d;
-    uint8_t scales[3*QUANT_K/64];
-    uint8_t qs[QUANT_K/2];
-};
-
-#define A_TYPE block_q4_K
-"""
-shader_q5_K_defines = """
-#define QUANT_K 256
-
-struct block_q5_K
-{
-    f16vec2 d;
-    uint8_t scales[12];
-    uint8_t qh[QUANT_K/8];
-    uint8_t qs[QUANT_K/2];
-};
-
-#define A_TYPE block_q5_K
-"""
-shader_q6_K_defines = """
-#define QUANT_K 256
-
-struct block_q6_K
-{
-    uint8_t ql[QUANT_K/2];
-    uint8_t qh[QUANT_K/4];
-    int8_t scales[QUANT_K/16];
-    float16_t d;
-};
-
-#define A_TYPE block_q6_K
-"""
-
-# Dequant functions
-shader_float_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]);
-}
-"""
-
-shader_q4_0_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    const float d = float(data_a[a_offset + ib].d);
-    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
-    return (vec2(vui & 0xF, vui >> 4) - 8.0f) * d;
-}
-"""
-
-shader_q4_1_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    const float d = float(data_a[a_offset + ib].d);
-    const float m = float(data_a[a_offset + ib].m);
-    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
-    return vec2(vui & 0xF, vui >> 4) * d + m;
-}
-"""
-
-shader_q5_0_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    const float d = float(data_a[a_offset + ib].d);
-    const uint uint_qh = uint(data_a[a_offset + ib].qh[1]) << 16 | data_a[a_offset + ib].qh[0];
-    const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
-    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
-    return (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d;
-}
-"""
-
-shader_q5_1_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    const float d = float(data_a[a_offset + ib].d);
-    const float m = float(data_a[a_offset + ib].m);
-    const uint uint_qh = data_a[a_offset + ib].qh;
-    const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
-    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
-    return vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m;
-}
-"""
-
-shader_q8_0_dequant_func = """
-vec2 dequantize(uint ib, uint iqs, uint a_offset) {
-    const float d = float(data_a[a_offset + ib].d);
-    return vec2(int(data_a[a_offset + ib].qs[iqs]), int(data_a[a_offset + ib].qs[iqs + 1])) * d;
-}
-"""
-
-# MULMAT
-
-mulmat_head = """#version 450
-
-#extension GL_EXT_control_flow_attributes : enable
-#extension GL_EXT_shader_16bit_storage : require
-
-#ifdef MUL_MAT_ID
-#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
-
-#define EXPERT_COUNT 8
-#endif
-
-#ifndef LOAD_VEC_A
-#define LOAD_VEC_A 1
-#endif
-#ifndef LOAD_VEC_B
-#define LOAD_VEC_B 1
-#endif
-"""
-
-mulmat_body1 = """
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
-
-#ifdef MUL_MAT_ID
-layout (binding = 3) readonly buffer IDS {int data_ids[];};
-#endif
-
-layout (push_constant) uniform parameter
-{
-    uint M;
-    uint N;
-    uint K;
-    uint stride_a;
-    uint stride_b;
-    uint stride_d;
-
-    uint batch_stride_a;
-    uint batch_stride_b;
-    uint batch_stride_d;
-
-#ifdef MUL_MAT_ID
-    uint nei0;
-    uint nei1;
-    uint nbi1;
-    uint ne11;
-#else
-    uint k_split;
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
-#endif
-} p;
-
-layout (constant_id = 1) const uint BM = 64;
-layout (constant_id = 2) const uint BN = 64;
-layout (constant_id = 3) const uint BK = 16;  // Assumed to be 32 if working with a quant
-layout (constant_id = 4) const uint WM = 32;
-layout (constant_id = 5) const uint WN = 32;
-layout (constant_id = 6) const uint WMITER = 2;
-layout (constant_id = 7) const uint TM = 4;
-layout (constant_id = 8) const uint TN = 2;
-layout (constant_id = 9) const uint WARP = 32;
-
-shared FLOAT_TYPE buf_a[BM * (BK+1)];
-shared FLOAT_TYPE buf_b[BN * (BK+1)];
-
-#ifdef MUL_MAT_ID
-shared u16vec2 row_ids[2048];
-#endif
-
-void main() {
-#ifdef MUL_MAT_ID
-    const uint expert_idx = gl_GlobalInvocationID.z;
-#else
-    const uint batch_idx = gl_GlobalInvocationID.z;
-
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-#endif
-
-    const uint blocks_m = (p.M + BM - 1) / BM;
-    const uint ir = gl_WorkGroupID.x % blocks_m;
-    const uint ik = gl_WorkGroupID.x / blocks_m;
-    const uint ic = gl_WorkGroupID.y;
-
-    const uint warp_i = gl_LocalInvocationID.x / WARP;
-    const uint warp_r = warp_i % (BM / WM);
-    const uint warp_c = warp_i / (BM / WM);
-
-    const uint WNITER = (WM * WN) / (WARP * TM * TN * WMITER);
-    const uint WSUBM = WM / WMITER;
-    const uint WSUBN = WN / WNITER;
-
-    const uint tiw = gl_LocalInvocationID.x % WARP;
-    const uint tiwr = tiw % (WSUBM / TM);
-    const uint tiwc = tiw / (WSUBM / TM);
-
-    const uint loadr_a = gl_LocalInvocationID.x % (BK / LOAD_VEC_A);
-    const uint loadc_a = gl_LocalInvocationID.x / (BK / LOAD_VEC_A);
-    const uint loadr_b = gl_LocalInvocationID.x % (BK / LOAD_VEC_B);
-    const uint loadc_b = gl_LocalInvocationID.x / (BK / LOAD_VEC_B);
-
-    const uint loadstride_a = gl_WorkGroupSize.x * LOAD_VEC_A / BK;
-    const uint loadstride_b = gl_WorkGroupSize.x * LOAD_VEC_B / BK;
-
-#ifdef MUL_MAT_ID
-    uint _ne1 = 0;
-    for (uint ii1 = 0; ii1 < p.nei1; ii1++) {
-        for (uint ii0 = 0; ii0 < p.nei0; ii0++) {
-            if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
-                row_ids[_ne1] = u16vec2(ii0, ii1);
-                _ne1++;
-            }
-        }
-    }
-
-    barrier();
-
-    // Workgroup has no work
-    if (ic * BN >= _ne1) return;
-#endif
-
-#ifdef MUL_MAT_ID
-    const uint start_k = 0;
-    const uint end_k = p.K;
-#else
-    const uint start_k = ik * p.k_split;
-    const uint end_k = min(p.K, (ik + 1) * p.k_split);
-#endif
-
-    uint pos_a = (
-#ifdef MUL_MAT_ID
-        expert_idx * p.batch_stride_a +
-#else
-        batch_idx_a * p.batch_stride_a +
-#endif
-        ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
-#ifdef MUL_MAT_ID
-    uint pos_b = 0;
-#else
-    uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
-#endif
-
-    float sums[WMITER * TM * WNITER * TN];
-    FLOAT_TYPE cache_a[WMITER * TM];
-    FLOAT_TYPE cache_b[WNITER * TN];
-
-    [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) {
-        sums[i] = 0.0f;
-    }
-
-    [[unroll]] for (uint block = start_k; block < end_k; block += BK) {
-        [[unroll]] for (uint l = 0; l < BM; l += loadstride_a) {"""
-
-mulmat_load_scalar = """
-#if LOAD_VEC_A == 8
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-            buf_a[buf_idx    ] = FLOAT_TYPE(data_a[idx][0].x);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx][0].y);
-            buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx][0].z);
-            buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx][0].w);
-            buf_a[buf_idx + 4] = FLOAT_TYPE(data_a[idx][1].x);
-            buf_a[buf_idx + 5] = FLOAT_TYPE(data_a[idx][1].y);
-            buf_a[buf_idx + 6] = FLOAT_TYPE(data_a[idx][1].z);
-            buf_a[buf_idx + 7] = FLOAT_TYPE(data_a[idx][1].w);
-#elif LOAD_VEC_A == 4
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-            buf_a[buf_idx    ] = FLOAT_TYPE(data_a[idx].x);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx].y);
-            buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx].z);
-            buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx].w);
-#else
-            if (ir * BM + loadc_a + l < p.M && block + loadr_a < end_k) {
-                buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(data_a[pos_a + (loadc_a + l) * p.stride_a + loadr_a]);
-            } else {
-                buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(0.0f);
-            }
-#endif
-"""
-
-mulmat_load_q4_0 = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
-
-            const uint ib = idx / 16;
-            const uint iqs = idx & 0xF;
-
-            const float d = float(data_a[ib].d);
-            const uint vui = uint(data_a[ib].qs[iqs]);
-            const vec2 v = (vec2(vui & 0xF, vui >> 4) - 8.0f) * d;
-
-            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);"""
-
-mulmat_load_q4_1 = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
-
-            const uint ib = idx / 16;
-            const uint iqs = idx & 0xF;
-
-            const float d = float(data_a[ib].d);
-            const float m = float(data_a[ib].m);
-            const uint vui = uint(data_a[ib].qs[iqs]);
-            const vec2 v = vec2(vui & 0xF, vui >> 4) * d + m;
-
-            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);"""
-
-mulmat_load_q5_0 = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
-
-            const uint ib = idx / 16;
-            const uint iqs = idx & 0xF;
-
-            const float d = float(data_a[ib].d);
-            const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0];
-            const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
-            const uint vui = uint(data_a[ib].qs[iqs]);
-            const vec2 v = (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d;
-
-            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);"""
-
-mulmat_load_q5_1 = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
-
-            const uint ib = idx / 16;
-            const uint iqs = idx & 0xF;
-
-            const float d = float(data_a[ib].d);
-            const float m = float(data_a[ib].m);
-            const uint uint_qh = data_a[ib].qh;
-            const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
-            const uint vui = uint(data_a[ib].qs[iqs]);
-            const vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m;
-
-            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);"""
-
-mulmat_load_q8_0 = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 16;
-            const uint iqs = (idx & 0xF) * 2;
-
-            const float d = float(data_a[ib].d);
-            const vec2 v = vec2(int(data_a[ib].qs[iqs]), int(data_a[ib].qs[iqs + 1])) * d;
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);"""
-
-
-mulmat_load_q2_K = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 128;                         // 2 values per idx
-            const uint iqs = idx % 128;                        // 0..127
-
-            const uint qsi = (iqs / 64) * 32 + (iqs % 16) * 2; // 0,2,4..30
-            const uint scalesi = iqs / 8;                      // 0..15
-            const uint qsshift = ((iqs % 64) / 16) * 2;        // 0,2,4,6
-
-            const uvec2 qs = uvec2(data_a[ib].qs[qsi], data_a[ib].qs[qsi + 1]);
-            const uint scales = data_a[ib].scales[scalesi];
-            const vec2 d = vec2(data_a[ib].d);
-
-            const vec2 v = d.x * float(scales & 0xF) * vec2((qs >> qsshift) & 3) - d.y * float(scales >> 4);
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(v.x);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);"""
-
-mulmat_load_q3_K = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 128;                   // 2 values per idx
-            const uint iqs = idx % 128;                  // 0..127
-
-            const uint n = iqs / 64;                     // 0,1
-            const uint qsi = n * 32 + (iqs % 16) * 2;    // 0,2,4..62
-            const uint hmi =          (iqs % 16) * 2;    // 0,2,4..30
-            const uint j = (iqs % 64) / 4;               // 0..3
-            const uint is = iqs / 8;                     // 0..15
-            const uint halfsplit = ((iqs % 64) / 16);    // 0,1,2,3
-            const uint qsshift = halfsplit * 2;          // 0,2,4,6
-            const uint m = 1 << (4 * n + halfsplit);     // 1,2,4,8,16,32,64,128
-
-            const int8_t us = int8_t(is <  4 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+8] >> 0) & 3) << 4) :
-                                    is <  8 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+4] >> 2) & 3) << 4) :
-                                    is < 12 ? (data_a[ib].scales[is-8] >>  4) | (((data_a[ib].scales[is+0] >> 4) & 3) << 4) :
-                                            (data_a[ib].scales[is-8] >>  4) | (((data_a[ib].scales[is-4] >> 6) & 3) << 4));
-            const float dl = float(data_a[ib].d) * float(us - 32);
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi    ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi    ] & m) != 0) ? 0 : 4)));
-            buf_a[buf_idx + 1] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4)));"""
-
-mulmat_load_q4_K = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 128;                 // 2 values per idx
-            const uint iqs = idx % 128;                // 0..127
-
-            const uint n = iqs / 32;                   // 0,1,2,3
-            const uint b = (iqs % 32) / 16;            // 0,1
-            const uint is = 2 * n + b;                 // 0..7
-            const uint qsi = n * 32 + (iqs % 16) * 2;  // 0,2,4..126
-
-            const vec2 loadd = vec2(data_a[ib].d);
-
-            uint8_t sc;
-            uint8_t mbyte;
-            if (is < 4) {
-                sc    = uint8_t(data_a[ib].scales[is    ] & 63);
-                mbyte = uint8_t(data_a[ib].scales[is + 4] & 63);
-            } else {
-                sc    = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4));
-                mbyte = uint8_t((data_a[ib].scales[is + 4] >>  4) | ((data_a[ib].scales[is    ] >> 6) << 4));
-            }
-            const float d = loadd.x * sc;
-            const float m = loadd.y * mbyte;
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi    ] >> (b * 4)) & 0xF) - m);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) - m);"""
-
-mulmat_load_q5_K = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 128;                 // 2 values per idx
-            const uint iqs = idx % 128;                // 0..127
-
-            const uint n = iqs / 32;                   // 0,1,2,3
-            const uint b = (iqs % 32) / 16;            // 0,1
-            const uint is = 2 * n + b;                 // 0..7
-            const uint qsi = n * 32 + (iqs % 16) * 2;  // 0,2,4..126
-            const uint qhi = (iqs % 16) * 2;           // 0,2,4..30
-
-            const uint8_t hm = uint8_t(1 << (iqs / 16));
-
-            const vec2 loadd = vec2(data_a[ib].d);
-
-            uint8_t sc;
-            uint8_t mbyte;
-            if (is < 4) {
-                sc    = uint8_t(data_a[ib].scales[is    ] & 63);
-                mbyte = uint8_t(data_a[ib].scales[is + 4] & 63);
-            } else {
-                sc    = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4));
-                mbyte = uint8_t((data_a[ib].scales[is + 4] >>  4) | ((data_a[ib].scales[is    ] >> 6) << 4));
-            }
-            const float d = loadd.x * sc;
-            const float m = loadd.y * mbyte;
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi    ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi    ] & hm) != 0 ? 16 : 0)) - m);
-            buf_a[buf_idx + 1] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0)) - m);"""
-
-mulmat_load_q6_K = """
-            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
-            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
-
-            const uint ib = idx / 128;                  // 2 values per idx
-            const uint iqs = idx % 128;                 // 0..127
-
-            const uint n = iqs / 64;                    // 0,1
-            const uint b = (iqs % 64) / 32;             // 0,1
-            const uint is_b = (iqs % 16) / 8;           // 0,1
-            const uint qhshift = ((iqs % 64) / 16) * 2; // 0,2,4,6
-            const uint is = 8 * n + qhshift + is_b;     // 0..15
-            const uint qsi = n * 64 + (iqs % 32) * 2;   // 0,2,4..126
-            const uint qhi = n * 32 + (iqs % 16) * 2;   // 0,2,4..62
-
-            const float dscale = float(data_a[ib].d) * float(data_a[ib].scales[is]);
-
-            buf_a[buf_idx    ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi    ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi    ] >> qhshift) & 3) << 4)) - 32));
-            buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));"""
-
-mulmat_body2 = """
-        }
-        [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
-#if LOAD_VEC_B == 8
-#ifdef MUL_MAT_ID
-            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
-            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
-#else
-            const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
-#endif
-            const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
-            buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x);
-            buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y);
-            buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx][0].z);
-            buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx][0].w);
-            buf_b[buf_idx + 4] = FLOAT_TYPE(data_b[idx][1].x);
-            buf_b[buf_idx + 5] = FLOAT_TYPE(data_b[idx][1].y);
-            buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z);
-            buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w);
-#elif LOAD_VEC_B == 4
-#ifdef MUL_MAT_ID
-            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
-            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
-#else
-            const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
-#endif
-            const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
-            buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x);
-            buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y);
-            buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z);
-            buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w);
-#elif !MUL_MAT_ID
-            if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) {
-                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]);
-            } else {
-                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
-            }
-#else
-            const uint row_i = ic * BN + loadc_b + l;
-            if (row_i < _ne1) {
-                const u16vec2 row_idx = row_ids[row_i];
-                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]);
-            } else {
-                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
-            }
-#endif
-        }
-
-        barrier();
-
-        pos_a += BK / LOAD_VEC_A;
-        pos_b += BK / LOAD_VEC_B;
-
-        for (uint i = 0; i < BK; i++) {
-            // Load from shared into cache
-            [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
-                [[unroll]] for (uint j = 0; j < TM; j++) {
-                    cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i];
-                }
-            }
-            [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
-                [[unroll]] for (uint j = 0; j < TN; j++) {
-                    cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i];
-                }
-            }
-
-            [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
-                [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
-                    [[unroll]] for (uint cc = 0; cc < TN; cc++) {
-                        [[unroll]] for (uint cr = 0; cr < TM; cr++) {
-                            sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]);
-                        }
-                    }
-                }
-            }
-        }
-
-        barrier();
-    }
-
-    const uint dr = ir * BM + warp_r * WM;
-    const uint dc = ic * BN + warp_c * WN;
-
-#ifndef MUL_MAT_ID
-    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
-#endif
-
-    [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
-        [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
-
-            const uint dr_warp = dr + wsir * WSUBM + tiwr * TM;
-            const uint dc_warp = dc + wsic * WSUBN + tiwc * TN;
-            [[unroll]] for (uint cc = 0; cc < TN; cc++) {
-#ifdef MUL_MAT_ID
-                const uint row_i = dc_warp + cc;
-                if (row_i >= _ne1) break;
-
-                const u16vec2 row_idx = row_ids[row_i];
-#endif
-                [[unroll]] for (uint cr = 0; cr < TM; cr++) {
-#ifdef MUL_MAT_ID
-                    data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
-#else
-                    if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
-                        data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
-                    }
-#endif
-                }
-            }
-        }
-    }
-}
-"""
-
-mulmat_split_k_reduce_src = """#version 450
-
-#extension GL_EXT_control_flow_attributes : enable
-
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {float data_a[];};
-layout (binding = 1) writeonly buffer D {float data_d[];};
-
-layout (push_constant) uniform parameter {
-    uint ne;
-    uint k_num;
-} p;
-
-void main() {
-    const uint idx = gl_GlobalInvocationID.x;
-
-    if (idx >= p.ne) {
-        return;
-    }
-
-    float result = 0.0f;
-
-    [[unroll]] for (uint i = 0; i < p.k_num; i++) {
-        result += data_a[i * p.ne + idx];
-    }
-
-    data_d[idx] = result;
-}
-"""
-
-# DEQUANT SHADER
-dequant_head = """#version 450
-
-#extension GL_EXT_control_flow_attributes : require
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint M;
-    uint K;
-    uint stride_a;
-    uint stride_b;
-    uint nel;
-} p;
-"""
-
-dequant_f32_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {float data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_GlobalInvocationID.x * 16;
-
-    if (i >= p.nel) {
-        return;
-    }
-
-    [[unroll]] for (uint l = 0; l < 16; l++) {
-        data_b[i + l] = D_TYPE(data_a[i + l]);
-    }
-}
-"""
-
-dequant_q4_0_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {block_q4_0 data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
-
-    const uint tid = gl_LocalInvocationID.x % 64;
-    const uint il  = tid/32;
-    const uint ir  = tid%32;
-    const uint ib = 32*i + ir;
-    if (ib >= p.nel / 32) {
-        return;
-    }
-
-    const uint b_idx = 1024*i + 32*ir + 8*il;
-
-    const float d = float(data_a[ib].d);
-    const float dm = -8.0f * d;
-
-    const uint q_idx = 8*il;
-
-    [[unroll]] for (uint l = 0; l < 8; ++l) {
-        data_b[b_idx + l +  0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + dm);
-        data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >>  4) + dm);
-    }
-}
-"""
-
-dequant_q4_1_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {block_q4_1 data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
-
-    const uint tid = gl_LocalInvocationID.x % 64;
-    const uint il  = tid/32;
-    const uint ir  = tid%32;
-    const uint ib = 32*i + ir;
-    if (ib >= p.nel / 32) {
-        return;
-    }
-
-    const uint b_idx = 1024*i + 32*ir + 8*il;
-
-    const float d = float(data_a[ib].d);
-    const float m = float(data_a[ib].m);
-
-    const uint q_idx = 8*il;
-
-    [[unroll]] for (uint l = 0; l < 8; ++l) {
-        data_b[b_idx + l +  0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + m);
-        data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >>  4) + m);
-    }
-}
-"""
-
-dequant_q5_0_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {block_q5_0 data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
-
-    const uint tid = gl_LocalInvocationID.x % 64;
-    const uint il  = tid/32;
-    const uint ir  = tid%32;
-    const uint ib = 32*i + ir;
-    if (ib >= p.nel / 32) {
-        return;
-    }
-
-    const uint b_idx = 1024*i + 32*ir + 8*il;
-
-    const float d = float(data_a[ib].d);
-    const uint qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0];
-
-    const uint q_idx = 8*il;
-
-    [[unroll]] for (uint l = 0; l < 8; ++l) {
-        const uint iqs = q_idx + l;
-        const uint vui = uint(data_a[ib].qs[iqs]);
-        data_b[b_idx + l +  0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10)) - 16.0f));
-        data_b[b_idx + l + 16] = D_TYPE(d * (((vui >>  4) | ((qh >> (iqs + 12)) & 0x10)) - 16.0f));
-    }
-}
-"""
-
-dequant_q5_1_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {block_q5_1 data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
-
-    const uint tid = gl_LocalInvocationID.x % 64;
-    const uint il  = tid/32;
-    const uint ir  = tid%32;
-    const uint ib = 32*i + ir;
-    if (ib >= p.nel / 32) {
-        return;
-    }
-
-    const uint b_idx = 1024*i + 32*ir + 8*il;
-
-    const float d = float(data_a[ib].d);
-    const float m = float(data_a[ib].m);
-    const uint qh = data_a[ib].qh;
-
-    const uint q_idx = 8*il;
-
-    [[unroll]] for (uint l = 0; l < 8; ++l) {
-        const uint iqs = q_idx + l;
-        const uint vui = uint(data_a[ib].qs[iqs]);
-        data_b[b_idx + l +  0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10))) + m);
-        data_b[b_idx + l + 16] = D_TYPE(d * (((vui >>  4) | ((qh >> (iqs + 12)) & 0x10))) + m);
-    }
-}
-"""
-
-dequant_q8_0_body = """
-layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {block_q8_0 data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
-
-    const uint tid = gl_LocalInvocationID.x % 64;
-    const uint il  = tid/32;
-    const uint ir  = tid%32;
-    const uint ib = 32*i + ir;
-    if (ib >= p.nel / 32) {
-        return;
-    }
-
-    const uint b_idx = 1024*i + 32*ir + 16*il;
-
-    const float d = float(data_a[ib].d);
-
-    const uint q_idx = 16*il;
-
-    [[unroll]] for (uint l = 0; l < 16; l += 2) {
-        data_b[b_idx + l    ] = D_TYPE(d * data_a[ib].qs[q_idx + l    ]);
-        data_b[b_idx + l + 1] = D_TYPE(d * data_a[ib].qs[q_idx + l + 1]);
-    }
-}
-"""
-
-# K-quants
-dequant_q2_K_body = """
-layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
-        const uint i = gl_WorkGroupID.x * 256 + wgy;
-        if (i >= p.M * p.K / QUANT_K) {
-            return;
-        }
-
-        const uint tid = gl_LocalInvocationID.x;
-        const uint ip = tid / 32;
-        const uint il = tid - 32 * ip;
-        const uint is = 8 * ip + il / 16;
-
-        const uint y_idx = i * QUANT_K + 128 * ip + il;
-
-        const uint ql_idx = 32 * ip + il;
-        const uint8_t qs = data_a[i].qs[32 * ip + il];
-
-        FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
-        FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
-        data_b[y_idx +  0] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+0] >> 4));
-        data_b[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+2] >> 4));
-        data_b[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+4] >> 4));
-        data_b[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+6] >> 4));
-    }
-}
-"""
-dequant_q3_K_body = """
-layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
-        const uint i = uint(gl_WorkGroupID.x * 256 + wgy);
-        if (i >= p.M * p.K / QUANT_K) {
-            return;
-        }
-
-        const uint r = gl_LocalInvocationID.x / 4;
-        const uint tid = r / 2;
-        const uint is0 = r % 2;
-        const uint l0 = 16 * is0 + 4 * (gl_LocalInvocationID.x % 4);
-        const uint n = tid / 4;
-        const uint j = tid - 4*n;
-
-        const uint8_t m = uint8_t(1 << (4*n + j));
-        const uint is = 8*n + 2*j + is0;
-        const uint shift = 2*j;
-
-        const int8_t us = int8_t(is <  4 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+8] >> 0) & 3) << 4) :
-                                 is <  8 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+4] >> 2) & 3) << 4) :
-                                 is < 12 ? (data_a[i].scales[is-8] >>  4) | (((data_a[i].scales[is+0] >> 4) & 3) << 4) :
-                                           (data_a[i].scales[is-8] >>  4) | (((data_a[i].scales[is-4] >> 6) & 3) << 4));
-        const FLOAT_TYPE d_all = FLOAT_TYPE(data_a[i].d);
-        const FLOAT_TYPE dl    = d_all * FLOAT_TYPE(us - 32);
-
-        const uint y_idx = i * QUANT_K + 128 * n + 32 * j;
-        const uint qs_idx = 32*n;
-
-        for (uint l = l0; l < l0 + 4; ++l) {
-            data_b[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((data_a[i].qs[qs_idx + l] >> shift) & 3) - (((data_a[i].hmask[l] & m) != 0) ? 0 : 4)));
-        }
-    }
-}
-"""
-dequant_q4_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
-        const uint i = gl_WorkGroupID.x * 256 + wgy;
-        if (i >= p.M * p.K / QUANT_K) {
-            return;
-        }
-
-        const uint tid = gl_LocalInvocationID.x;
-        const uint il = tid / 8;
-        const uint ir = tid % 8;
-        const uint is = 2 * il;
-        const uint n = 4;
-
-        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
-        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
-
-        const uint y_idx = i * QUANT_K + 64 * il + n * ir;
-        const uint qs_idx = 32*il + n * ir;
-
-        uint8_t sc;
-        uint8_t m;
-        if (is < 4) {
-            sc = uint8_t(data_a[i].scales[is] & 63);
-            m  = uint8_t(data_a[i].scales[is + 4] & 63);
-        } else {
-            sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4));
-            m  = uint8_t((data_a[i].scales[is + 4] >>  4) | ((data_a[i].scales[is    ] >> 6) << 4));
-        }
-        const FLOAT_TYPE d1 = dall * sc;
-        const FLOAT_TYPE m1 = dmin * m;
-
-        if (is < 4) {
-            sc = uint8_t(data_a[i].scales[is + 1] & 63);
-            m  = uint8_t(data_a[i].scales[is + 5] & 63);
-        } else {
-            sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4));
-            m  = uint8_t((data_a[i].scales[is + 5] >>  4) | ((data_a[i].scales[is + 1] >> 6) << 4));
-        }
-        const FLOAT_TYPE d2 = dall * sc;
-        const FLOAT_TYPE m2 = dmin * m;
-
-        [[unroll]] for (uint l = 0; l < n; ++l) {
-            data_b[y_idx + l     ] = D_TYPE(d1 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] & 0xF) - m1);
-            data_b[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] >>  4) - m2);
-        }
-    }
-}
-"""
-dequant_q5_K_body = """
-layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
-        const uint i = gl_WorkGroupID.x * 256 + wgy;
-        if (i >= p.M * p.K / QUANT_K) {
-            return;
-        }
-
-        const uint tid = gl_LocalInvocationID.x;
-        const uint il = tid / 16;
-        const uint ir = tid % 16;
-        const uint is = 2 * il;
-
-        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
-        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
-
-        const uint y_idx = i * QUANT_K + 64 * il + 2 * ir;
-        const uint qs_idx = 32*il + 2 * ir;
-        const uint qh_idx = 2 * ir;
-
-        uint8_t sc;
-        uint8_t m;
-        if (is < 4) {
-            sc = uint8_t(data_a[i].scales[is] & 63);
-            m  = uint8_t(data_a[i].scales[is + 4] & 63);
-        } else {
-            sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4));
-            m  = uint8_t((data_a[i].scales[is + 4] >>  4) | ((data_a[i].scales[is    ] >> 6) << 4));
-        }
-        const FLOAT_TYPE d1 = dall * sc;
-        const FLOAT_TYPE m1 = dmin * m;
-
-        if (is < 4) {
-            sc = uint8_t(data_a[i].scales[is + 1] & 63);
-            m  = uint8_t(data_a[i].scales[is + 5] & 63);
-        } else {
-            sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4));
-            m  = uint8_t((data_a[i].scales[is + 5] >>  4) | ((data_a[i].scales[is + 1] >> 6) << 4));
-        }
-        const FLOAT_TYPE d2 = dall * sc;
-        const FLOAT_TYPE m2 = dmin * m;
-
-        const uint8_t hm1 = uint8_t(1 << (2 * il    ));
-        const uint8_t hm2 = uint8_t(1 << (2 * il + 1));
-        data_b[y_idx     ] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx    ] & 0xF) + (((data_a[i].qh[qh_idx    ] & hm1) != 0) ? 16 : 0)) - m1);
-        data_b[y_idx +  1] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] & 0xF) + (((data_a[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1);
-        data_b[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx    ]  >> 4) + (((data_a[i].qh[qh_idx    ] & hm2) != 0) ? 16 : 0)) - m2);
-        data_b[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1]  >> 4) + (((data_a[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2);
-    }
-}
-"""
-dequant_q6_K_body = """
-layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
-
-void main() {
-    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
-        const uint i = gl_WorkGroupID.x * 256 + wgy;
-        if (i >= p.M * p.K / QUANT_K) {
-            return;
-        }
-        const uint tid = gl_LocalInvocationID.x;
-        const uint ip = tid / 32;
-        const uint il = tid - 32 * ip;
-        const uint is = 8 * ip + il / 16;
-
-        const uint y_idx = i * QUANT_K + 128 * ip + il;
-
-        const uint ql_idx = 64 * ip + il;
-        const uint8_t qh = data_a[i].qh[32 * ip + il];
-
-        const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d);
-
-        data_b[y_idx +  0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx +  0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32)));
-        data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32)));
-        data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx +  0] >>  4) | (((qh >> 4) & 3) << 4)) - 32)));
-        data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >>  4) | (((qh >> 6) & 3) << 4)) - 32)));
-    }
-}
-"""
-
-# Mul Mat Vec
-mul_mat_vec_head = """#version 450
-
-#extension GL_EXT_control_flow_attributes : enable
-#extension GL_EXT_shader_16bit_storage : require
-#extension GL_EXT_shader_8bit_storage : require
-
-#ifdef MUL_MAT_ID
-#define EXPERT_COUNT 8
-#endif
-"""
-
-
-mul_mat_vec_layout = """
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
-#ifdef MUL_MAT_ID
-layout (binding = 3) readonly buffer IDS {int data_ids[];};
-#endif
-
-layout (push_constant) uniform parameter
-{
-    uint ncols;
-    uint stride_a;
-    uint stride_b;
-    uint stride_d;
-
-    uint batch_stride_a;
-    uint batch_stride_b;
-    uint batch_stride_d;
-
-#ifdef MUL_MAT_ID
-    uint nei0;
-    uint ne11;
-#else
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
-#endif
-} p;
-
-void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
-#ifdef MUL_MAT_ID
-    const uint expert_idx = gl_GlobalInvocationID.y;
-#else
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#endif
-
-#ifndef MUL_MAT_ID
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-#else
-    const uint expert_id = data_ids[expert_idx];
-#endif
-
-    a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.batch_stride_a;
-#else
-            batch_idx_a * p.batch_stride_a;
-#endif
-    b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx % p.ne11) * p.stride_b;
-#else
-            batch_idx * p.batch_stride_b;
-#endif
-    d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx * p.stride_d;
-#else
-            batch_idx * p.batch_stride_d;
-#endif
-}
-"""
-
-mul_mat_vec_body = """
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
-
-layout (constant_id = 0) const uint BLOCK_SIZE = 32;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-    const uint tid = gl_LocalInvocationID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
-
-    tmp[tid] = FLOAT_TYPE(0.0f);
-
-    [[unroll]] for (uint i = 0; i < p.ncols/BLOCK_SIZE; i += 2) {
-        const uint col = i*BLOCK_SIZE + 2*tid;
-        const uint ib = (row*p.ncols + col)/QUANT_K; // block index
-        const uint iqs = (col%QUANT_K)/QUANT_R; // quant index
-        const uint iybs = col - col%QUANT_K; // y block start index
-
-        vec2 v = dequantize(ib, iqs, a_offset / QUANT_K);
-
-        // matrix multiplication
-        tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[b_offset + iybs + iqs]) +
-                    FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[b_offset + iybs + iqs + y_offset]);
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = BLOCK_SIZE/2; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-
-# K-quants
-mul_mat_vec_q2_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-shared FLOAT_TYPE tmp[32];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint num_blocks_per_row = p.ncols / QUANT_K;
-    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
-
-    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
-
-    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
-
-    const uint l0 = K_QUANTS_PER_ITERATION*v_in;            // 0...15
-    const uint q_offset = 32*v_im + l0;
-    const uint s_offset = 8*v_im;
-    const uint y_offset = 128*v_im + l0;
-
-    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
-
-    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-        const uint y_idx = i * QUANT_K + y_offset;
-
-        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
-        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
-
-        FLOAT_TYPE sum1 = FLOAT_TYPE(0.0);
-        FLOAT_TYPE sum2 = FLOAT_TYPE(0.0);
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            sum1 += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3);
-            sum2 += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF)
-                  + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF);
-        }
-        tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-mul_mat_vec_q3_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-shared FLOAT_TYPE tmp[32];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint num_blocks_per_row = p.ncols / QUANT_K;
-    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
-
-    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
-
-    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
-
-    const uint8_t m = uint8_t(1 << (4 * v_im));
-
-    const uint l0 = K_QUANTS_PER_ITERATION*v_in;            // 0...15
-    const uint q_offset = 32*v_im + l0;
-    const uint y_offset = 128*v_im + l0;
-
-    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
-
-    const uint s_shift = 4 * v_im;
-
-    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-        const uint y_idx = i * QUANT_K + y_offset;
-
-        const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d);
-
-        FLOAT_TYPE sum = FLOAT_TYPE(0.0);
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            sum += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ]     ) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 0)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 1)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 2)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 3)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16]     ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4))
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4));
-        }
-        tmp[16 * ix + tid] += d * sum;
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-mul_mat_vec_q4_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-shared FLOAT_TYPE tmp[32];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint num_blocks_per_row = p.ncols / QUANT_K;
-    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
-
-    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const uint step = 8/K_QUANTS_PER_ITERATION;             // 8 or 4
-
-    const uint il = tid/step;                               // 0...3
-    const uint ir = tid - step*il;                          // 0...7 or 0...3
-    const uint n =  2 * K_QUANTS_PER_ITERATION;             // 2 or 4
-
-    const uint v_im = il / 2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const uint v_in = il % 2;
-
-    const uint l0 = n * (2 * ir + v_in);            // 0...15
-    const uint q_offset = 32*v_im + l0;
-    const uint y_offset = 64*v_im + l0;
-
-    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
-
-    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-        const uint y1_idx = i * QUANT_K + y_offset;
-        const uint y2_idx = y1_idx + 128;
-
-        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
-        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
-
-        const uint8_t sc0 = uint8_t(  data_a[ib0 + i].scales[v_im * 2    ]       & 0x3f);
-        const uint8_t sc1 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 1]       & 0x3f);
-        const uint8_t sc2 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 4]       & 0x3f);
-        const uint8_t sc3 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 5]       & 0x3f);
-        const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2    ] & 0xc0) >> 2));
-        const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2));
-        const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2));
-        const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2));
-
-#if K_QUANTS_PER_ITERATION == 2
-        const uint8_t q4_0  = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
-        const uint8_t q4_1  = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
-        const uint8_t q4_2  = uint8_t(data_a[ib0 + i].qs[q_offset +  2] & 0xf);
-        const uint8_t q4_3  = uint8_t(data_a[ib0 + i].qs[q_offset +  3] & 0xf);
-        const uint8_t q4_4  = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
-        const uint8_t q4_5  = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
-        const uint8_t q4_6  = uint8_t(data_a[ib0 + i].qs[q_offset +  2]  >> 4);
-        const uint8_t q4_7  = uint8_t(data_a[ib0 + i].qs[q_offset +  3]  >> 4);
-        const uint8_t q4_8  = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
-        const uint8_t q4_9  = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
-        const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] & 0xf);
-        const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] & 0xf);
-        const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
-        const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
-        const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66]  >> 4);
-        const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67]  >> 4);
-
-        const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1 + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * q4_3);
-        const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_5 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * q4_7);
-        const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx]) * q4_8 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_9 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * q4_10 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * q4_11);
-        const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_12 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_13 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * q4_14 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * q4_15);
-        const FLOAT_TYPE smin = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y1_idx    ]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx    ]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * sc7
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * sc7
-        );
-        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin);
-#else
-        const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
-        const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
-        const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
-        const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
-        const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
-        const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
-        const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
-        const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
-
-        const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx     ]) * q4_0  + FLOAT_TYPE(data_b[b_offset + y1_idx +  1]) * q4_1);
-        const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_2  + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_3);
-        const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx     ]) * q4_4  + FLOAT_TYPE(data_b[b_offset + y2_idx +  1]) * q4_5);
-        const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_7);
-        const FLOAT_TYPE smin = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y1_idx]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7
-        );
-
-        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin);
-#endif
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-mul_mat_vec_q5_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-shared FLOAT_TYPE tmp[32];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint num_blocks_per_row = p.ncols / QUANT_K;
-    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
-
-    const uint tid = gl_LocalInvocationID.x/2;  // 0...31 or 0...16
-    const uint ix  = gl_LocalInvocationID.x%2;  // 0 or 0, 1
-
-    const uint il = tid/4;                           // 0...3
-    const uint ir = tid - 4*il;                      // 0...7 or 0...3
-
-    const uint v_im = il / 2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const uint v_in = il % 2;
-
-    const uint l0 = 4*ir + 2*v_in;                   // 0...15
-    const uint q_offset = 32*v_im + l0;
-    const uint y_offset = 64*v_im + l0;
-
-    const uint8_t hm1 = uint8_t(1 << (2*v_im));
-    const uint8_t hm2 = uint8_t(hm1 << 4);
-
-    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
-
-    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += 2) {
-        const uint y1_idx = i * QUANT_K + y_offset;
-        const uint y2_idx = y1_idx + 128;
-
-        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
-        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
-
-        const uint8_t sc0 = uint8_t(  data_a[ib0 + i].scales[v_im * 2    ]       & 0x3f);
-        const uint8_t sc1 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 1]       & 0x3f);
-        const uint8_t sc2 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 4]       & 0x3f);
-        const uint8_t sc3 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 5]       & 0x3f);
-        const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2    ] & 0xc0) >> 2));
-        const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2));
-        const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2));
-        const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2));
-
-        const uint8_t q4_0  = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
-        const uint8_t q4_1  = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
-        const uint8_t q4_2  = uint8_t(data_a[ib0 + i].qs[q_offset + 16] & 0xf);
-        const uint8_t q4_3  = uint8_t(data_a[ib0 + i].qs[q_offset + 17] & 0xf);
-        const uint8_t q4_4  = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
-        const uint8_t q4_5  = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
-        const uint8_t q4_6  = uint8_t(data_a[ib0 + i].qs[q_offset + 16]  >> 4);
-        const uint8_t q4_7  = uint8_t(data_a[ib0 + i].qs[q_offset + 17]  >> 4);
-        const uint8_t q4_8  = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
-        const uint8_t q4_9  = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
-        const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] & 0xf);
-        const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] & 0xf);
-        const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
-        const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
-        const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 80]  >> 4);
-        const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81]  >> 4);
-
-        const FLOAT_TYPE sx = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y1_idx     ]) * (q4_0 + (((data_a[ib0 + i].qh[l0     ] & hm1) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx +  1]) * (q4_1 + (((data_a[ib0 + i].qh[l0 +  1] & hm1) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 17]) * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0))
-        );
-        const FLOAT_TYPE sy = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * (q4_4 + (((data_a[ib0 + i].qh[l0     ] & (hm1 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * (q4_5 + (((data_a[ib0 + i].qh[l0 +  1] & (hm1 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y1_idx + 49]) * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0))
-        );
-        const FLOAT_TYPE sz = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y2_idx     ]) * (q4_8  + (((data_a[ib0 + i].qh[l0     ] & hm2) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx +  1]) * (q4_9  + (((data_a[ib0 + i].qh[l0 +  1] & hm2) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx + 17]) * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0))
-        );
-        const FLOAT_TYPE sw = FLOAT_TYPE(
-            FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * (q4_12 + (((data_a[ib0 + i].qh[l0     ] & (hm2 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * (q4_13 + (((data_a[ib0 + i].qh[l0 +  1] & (hm2 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0))
-          + FLOAT_TYPE(data_b[b_offset + y2_idx + 49]) * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0))
-        );
-        const FLOAT_TYPE smin = FLOAT_TYPE(
-            (FLOAT_TYPE(data_b[b_offset + y1_idx]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 17])) * sc2 + (FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 49])) * sc3
-          + (FLOAT_TYPE(data_b[b_offset + y2_idx]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 17])) * sc6 + (FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 49])) * sc7
-        );
-        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin);
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-mul_mat_vec_q6_K_body = """
-layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
-
-shared FLOAT_TYPE tmp[32];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-
-    uint a_offset, b_offset, d_offset;
-    get_offsets(a_offset, b_offset, d_offset);
-
-    const uint num_blocks_per_row = p.ncols / QUANT_K;
-    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
-
-    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
-    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
-
-    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
-
-    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
-
-#if K_QUANTS_PER_ITERATION == 1
-    const uint l0 = v_in;                                   // 0...15
-    const uint is = 0;
-#else
-    const uint l0 = 4 * v_in;                               // 0, 4, 8, ..., 28
-    const uint is = v_in / 4;
-#endif
-
-    const uint ql_offset = 64*v_im + l0;
-    const uint qh_offset = 32*v_im + l0;
-    const uint s_offset  =  8*v_im + is;
-    const uint y_offset = 128*v_im + l0;
-
-    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
-
-    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-        const uint y_idx   = i * QUANT_K + y_offset;
-
-        const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d);
-
-#if K_QUANTS_PER_ITERATION == 1
-        FLOAT_TYPE sum = FLOAT_TYPE(data_b[b_offset + y_idx +  0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset +  0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x03) << 4)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x0c) << 2)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset +  0]  >> 4) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x30) >> 0)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16]  >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32]  >> 4) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0xc0) >> 2)) - 32)
-                       + FLOAT_TYPE(data_b[b_offset + y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48]  >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32);
-        tmp[16 * ix + tid] += sum;
-#else
-        FLOAT_TYPE sum = FLOAT_TYPE(0.0);
-        [[unroll]] for (int l = 0; l < 4; ++l) {
-            sum += FLOAT_TYPE(data_b[b_offset + y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32)
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32)
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0]  >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32)
-                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32]  >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32);
-        }
-        tmp[16 * ix + tid] += sum;
-#endif
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-       }
-        barrier();
-    }
-    if (tid == 0) {
-        data_d[d_offset + row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-
-mul_mat_p021_src = """#version 450
-
-#extension GL_EXT_control_flow_attributes : enable
-#extension GL_EXT_shader_16bit_storage : require
-
-#define BLOCK_SIZE 32
-#define FLOAT_TYPE float
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE dst[];};
-
-layout (push_constant) uniform parameter
-{
-    uint ncols_x;
-    uint nrows_x;
-    uint nchannels_x;
-    uint nchannels_y;
-    uint b_offset;
-    uint d_offset;
-} p;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
-    const uint tid = gl_LocalInvocationID.x;
-    const uint row_x = gl_GlobalInvocationID.y;
-    const uint channel = gl_GlobalInvocationID.z;
-    const uint channel_x = channel / (p.nchannels_y / p.nchannels_x);
-
-    const uint nrows_y = p.ncols_x;
-    const uint nrows_dst = p.nrows_x;
-    const uint row_dst = row_x;
-
-    tmp[tid] = FLOAT_TYPE(0.0f);
-
-    for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) {
-        const uint col_x = col_x0 + tid;
-
-        if (col_x >= p.ncols_x) {
-            break;
-        }
-
-        // x is transposed and permuted
-        const uint ix = row_x*p.nchannels_x*p.ncols_x + channel_x*p.ncols_x + col_x;
-        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]);
-
-        const uint row_y = col_x;
-
-        // y is not transposed but permuted
-        const uint iy = channel*nrows_y + row_y;
-
-        tmp[tid] += xi * FLOAT_TYPE(data_b[iy]);
-    }
-
-    // dst is not transposed and not permuted
-    const uint idst = channel*nrows_dst + row_dst;
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-
-    if (tid == 0) {
-        dst[idst] = tmp[0];
-    }
-}
-"""
-
-
-mul_mat_nc_src = """#version 450
-
-#extension GL_EXT_control_flow_attributes : enable
-#extension GL_EXT_shader_16bit_storage : require
-
-#define BLOCK_SIZE 32
-#define FLOAT_TYPE float
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE dst[];};
-
-layout (push_constant) uniform parameter
-{
-    uint ncols_x;
-    uint nrows_x;
-    uint row_stride_x;
-    uint channel_stride_x;
-    uint channel_x_divisor;
-    uint b_offset;
-    uint d_offset;
-} p;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
-    const uint tid       = gl_LocalInvocationID.x;
-    const uint row_x     = gl_GlobalInvocationID.y;
-    const uint channel   = gl_GlobalInvocationID.z;
-    const uint channel_x = channel / p.channel_x_divisor;
-
-    const uint nrows_y   = p.ncols_x;
-    const uint nrows_dst = p.nrows_x;
-    const uint row_dst   = row_x;
-
-    const uint idst = channel*nrows_dst + row_dst;
-
-    tmp[tid] = 0.0f;
-
-    for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) {
-        const uint col_x = col_x0 + tid;
-
-        if (col_x >= p.ncols_x) {
-            break;
-        }
-
-        const uint row_y = col_x;
-
-        const uint ix = channel_x*p.channel_stride_x + row_x*p.row_stride_x + col_x;
-        const uint iy = channel*nrows_y + row_y;
-
-        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]);
-
-        tmp[tid] += xi * FLOAT_TYPE(data_b[iy]);
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            tmp[tid] += tmp[tid + s];
-        }
-        barrier();
-    }
-
-    if (tid == 0) {
-        dst[idst] = tmp[0];
-    }
-}
-"""
-
-generic_head = """
-#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint KX;
-    uint KY;
-    float param1;
-    float param2;
-} p;
-"""
-
-generic_unary_op_head = """#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint ne;
-    uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03;
-    uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13;
-    uint d_offset;
-    float param1; float param2;
-} p;"""
-
-generic_unary_op_layout = """
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};"""
-
-generic_unary_op_funcs = """
-uint src0_idx(uint idx) {
-    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
-    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
-    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
-    const uint i02_offset = i02*p.ne01*p.ne00;
-    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
-    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
-    return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00;
-}
-
-uint dst_idx(uint idx) {
-    const uint i13 = idx / (p.ne12*p.ne11*p.ne10);
-    const uint i13_offset = i13 * p.ne12*p.ne11*p.ne10;
-    const uint i12 = (idx - i13_offset) / (p.ne11*p.ne10);
-    const uint i12_offset = i12*p.ne11*p.ne10;
-    const uint i11 = (idx - i13_offset - i12_offset) / p.ne10;
-    const uint i10 = idx - i13_offset - i12_offset - i11*p.ne10;
-    return i13*p.nb13 + i12*p.nb12 + i11*p.nb11 + i10*p.nb10;
-}"""
-
-generic_unary_op_main = """
-void main() {
-    if (gl_GlobalInvocationID.x >= p.ne) {
-        return;
-    }
-"""
-
-generic_unary_op_combined = f"{generic_unary_op_head}\n{generic_unary_op_layout}\n{generic_unary_op_funcs}\n{generic_unary_op_main}"
-
-generic_binary_op_head = """#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint ne;
-    uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03;
-    uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13;
-    uint ne20; uint ne21; uint ne22; uint ne23; uint nb20; uint nb21; uint nb22; uint nb23;
-    uint d_offset;
-    float param1; float param2;
-} p;"""
-
-generic_binary_op_layout = """
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
-layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};"""
-
-generic_binary_op_funcs = """
-uint src0_idx(uint idx) {
-    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
-    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
-    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
-    const uint i02_offset = i02*p.ne01*p.ne00;
-    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
-    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
-    return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00;
-}
-
-uint src1_idx(uint idx) {
-    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
-    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
-    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
-    const uint i02_offset = i02*p.ne01*p.ne00;
-    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
-    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
-
-    return (i03 % p.ne13)*p.nb13 + (i02 % p.ne12)*p.nb12 + (i01 % p.ne11)*p.nb11 + (i00 % p.ne10)*p.nb10;
-}
-
-uint dst_idx(uint idx) {
-    const uint i23 = idx / (p.ne22*p.ne21*p.ne20);
-    const uint i23_offset = i23 * p.ne22*p.ne21*p.ne20;
-    const uint i22 = (idx - i23_offset) / (p.ne21*p.ne20);
-    const uint i22_offset = i22*p.ne21*p.ne20;
-    const uint i21 = (idx - i23_offset - i22_offset) / p.ne20;
-    const uint i20 = idx - i23_offset - i22_offset - i21*p.ne20;
-    return i23*p.nb23 + i22*p.nb22 + i21*p.nb21 + i20*p.nb20;
-}"""
-
-generic_binary_op_main = """
-void main() {
-    if (gl_GlobalInvocationID.x >= p.ne) {
-        return;
-    }
-"""
-
-generic_binary_op_combined = f"{generic_binary_op_head}\n{generic_binary_op_layout}\n{generic_binary_op_funcs}\n{generic_binary_op_main}"
-
-# MUL
-mul_body = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
-}
-"""
-
-# DIV
-div_body = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
-}
-"""
-
-# ADD
-add_body = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
-}
-"""
-
-# SCALE
-scale_body = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(p.param1));
-}
-"""
-
-# SQR
-sqr_body = """
-    const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val * val);
-}
-"""
-
-# CLAMP
-clamp_body = """
-    const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val < p.param1 ? p.param1 : (val > p.param2 ? p.param2 : val));
-}
-"""
-
-# CPY
-cpy_end = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
-}
-"""
-# Causes an optimization error otherwise
-cpy_f16_f16_end = """
-    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = data_a[src0_idx(gl_GlobalInvocationID.x)];
-}
-"""
-
-# GET_ROWS
-get_rows_float_body = """
-void main() {
-    const uint i00 = gl_GlobalInvocationID.x;
-    const uint i10 = gl_GlobalInvocationID.y;
-    const uint i11 = (gl_GlobalInvocationID.z)/p.ne12;
-    const uint i12 = (gl_GlobalInvocationID.z)%p.ne12;
-
-    if (i00 >= p.ne00) {
-        return;
-    }
-
-    const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12];
-
-    const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03;
-    const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23;
-
-#ifndef OPTIMIZATION_ERROR_WORKAROUND
-    data_d[d_offset + i00] = D_TYPE(data_a[a_offset + i00]);
-#else
-    data_d[d_offset + i00] = data_a[a_offset + i00];
-#endif
-}
-"""
-
-get_rows_body = """
-void main() {
-    const uint i00 = (gl_GlobalInvocationID.x)*2;
-    const uint i10 = gl_GlobalInvocationID.y;
-    const uint i11 = (gl_GlobalInvocationID.z)/p.ne12;
-    const uint i12 = (gl_GlobalInvocationID.z)%p.ne12;
-
-    if (i00 >= p.ne00) {
-        return;
-    }
-
-    const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12];
-
-    const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03;
-    const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23;
-
-    const uint ib = a_offset + i00/QUANT_K; // block index
-    const uint iqs = (i00%QUANT_K)/QUANT_R; // quant index
-    const uint iybs = i00 - i00%QUANT_K; // dst block start index
-    const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
-
-    vec2 v = dequantize(ib, iqs, 0);
-
-    data_d[d_offset + iybs + iqs           ] = D_TYPE(v.x);
-    data_d[d_offset + iybs + iqs + y_offset] = D_TYPE(v.y);
-}
-"""
-
-# UNARY
-gelu_body = """
-#extension GL_EXT_control_flow_attributes : enable
-
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-void main() {
-    const float GELU_COEF_A    = 0.044715f;
-    const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
-    const uint i = gl_GlobalInvocationID.x;
-
-    if (i >= p.KX) {
-        return;
-    }
-
-    const float xi = float(data_a[i]);
-    const float val = SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi);
-    data_d[i] = D_TYPE(0.5f*xi*(2.0f - 2.0f / (exp(2 * val) + 1)));
-}
-"""
-
-silu_body = """
-#extension GL_EXT_control_flow_attributes : enable
-
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-void main() {
-    const uint i = gl_GlobalInvocationID.x;
-
-    if (i >= p.KX) {
-        return;
-    }
-
-    const float xi = float(data_a[i]);
-    data_d[i] = D_TYPE(xi / (1.0f + exp(-xi)));
-}
-"""
-
-relu_body = """
-#extension GL_EXT_control_flow_attributes : enable
-
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-void main() {
-    const uint i = gl_GlobalInvocationID.x;
-
-    if (i >= p.KX) {
-        return;
-    }
-
-    data_d[i] = max(float(data_a[i]), 0);
-}
-"""
-
-# DIAG_MASK_INF
-diag_mask_inf_head = """#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint ncols;
-    uint rows_per_channel;
-    uint n_past;
-} p;
-"""
-diag_mask_inf_body = """
-#extension GL_EXT_control_flow_attributes : enable
-
-layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-void main() {
-    const uint col = gl_GlobalInvocationID.y;
-    const uint row = gl_GlobalInvocationID.x;
-
-    if (col >= p.ncols) {
-        return;
-    }
-
-    const uint i = row*p.ncols + col;
-    if (col > p.n_past + row % p.rows_per_channel) {
-        data_d[i] = D_TYPE(uintBitsToFloat(0xFF800000));
-    } else {
-        data_d[i] = D_TYPE(data_a[i]);
-    }
-}
-"""
-
-# NORMS
-norm_body = """
-#extension GL_EXT_control_flow_attributes : enable
-#define BLOCK_SIZE 512
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-shared vec2 sum[BLOCK_SIZE];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-    const uint tid = gl_LocalInvocationID.x;
-
-    sum[tid] = vec2(0.0f, 0.0f);
-
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        const float xi = float(data_a[row*p.KX + col]);
-        sum[tid].x += xi;
-        sum[tid].y += xi * xi;
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            sum[tid] += sum[tid + s];
-        }
-        barrier();
-    }
-
-    const float mean = sum[0].x / p.KX;
-    const float var = sum[0].y / p.KX - mean * mean;
-    const float inv_std = inversesqrt(var + p.param1);
-
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std);
-    }
-}
-"""
-
-rms_norm_body = """
-#extension GL_EXT_control_flow_attributes : enable
-#define BLOCK_SIZE 512
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-shared FLOAT_TYPE sum[BLOCK_SIZE];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-    const uint tid = gl_LocalInvocationID.x;
-
-    sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp
-
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]);
-        sum[tid] += xi * xi;
-    }
-
-    // sum up partial sums and write back result
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            sum[tid] += sum[tid + s];
-        }
-        barrier();
-    }
-
-    const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX);
-    const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1));
-
-    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
-        data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col]));
-    }
-}
-"""
-
-# SOFT_MAX
-soft_max_head = """
-#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout (push_constant) uniform parameter
-{
-    uint KX;
-    uint KY;
-    float scale;
-    float max_bias;
-    float m0;
-    float m1;
-    uint n_head_log2;
-} p;
-"""
-
-soft_max_body = """
-#extension GL_EXT_control_flow_attributes : enable
-#define BLOCK_SIZE 512
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
-layout (binding = 2) buffer D {D_TYPE data_d[];};
-
-shared FLOAT_TYPE vals[BLOCK_SIZE];
-
-void main() {
-    const uint tid = gl_LocalInvocationID.x;
-    const uint rowx = gl_WorkGroupID.x;
-    const uint rowy = rowx % p.KY;
-
-    float slope = 1.0f;
-
-    // ALiBi
-    if (p.max_bias > 0.0f) {
-        const uint h = rowx/p.KY; // head index
-
-        const float base = h < p.n_head_log2 ? p.m0 : p.m1;
-        const uint   exp  = h < p.n_head_log2 ? h + 1 : 2*(h - p.n_head_log2) + 1;
-
-        slope = pow(base, exp);
-    }
-
-    // Find max
-    FLOAT_TYPE max_val = uintBitsToFloat(0xFF800000);
-
-    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
-        const uint col = col0 + tid;
-
-        if (col >= p.KX) {
-            break;
-        }
-
-        max_val = max(max_val, FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)));
-    }
-    vals[tid] = max_val;
-
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            vals[tid] = max(vals[tid], vals[tid + s]);
-        }
-        barrier();
-    }
-
-    max_val = vals[0];
-    barrier();
-
-    // Sum up values
-    vals[tid] = FLOAT_TYPE(0.0f);
-
-    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
-        const uint col = col0 + tid;
-
-        if (col >= p.KX) {
-            break;
-        }
-
-        const uint i = rowx * p.KX + col;
-        const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val);
-        vals[tid] += val;
-        data_d[i] = D_TYPE(val);
-    }
-
-    barrier();
-    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
-        if (tid < s) {
-            vals[tid] += vals[tid + s];
-        }
-        barrier();
-    }
-
-    const D_TYPE divisor = D_TYPE(vals[0]);
-
-    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
-        const uint col = col0 + tid;
-
-        if (col >= p.KX) {
-            break;
-        }
-
-        data_d[rowx*p.KX + col] /= divisor;
-    }
-}
-"""
-
-# ROPE
-rope_norm_src = """
-#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer Y {int data_pos[];};
-layout (binding = 2) readonly buffer Z {float data_ff[];};
-layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
-
-layout (push_constant) uniform parameter {
-    uint ncols;
-    uint n_dims;
-    float freq_scale;
-    uint p_delta_rows;
-    float freq_base;
-    float ext_factor;
-    float attn_factor;
-    float corr_dims[2];
-    float theta_scale;
-    uint has_ff;
-} p;
-
-float rope_yarn_ramp(const float low, const float high, const uint i0) {
-    const float y = (i0 / 2 - low) / max(0.001f, high - low);
-    return 1.0f - min(1.0f, max(0.0f, y));
-}
-
-void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) {
-    float mscale = p.attn_factor;
-    // Get n-d rotational scaling corrected for extrapolation
-    float theta_interp = p.freq_scale * theta_extrap;
-    float theta = theta_interp;
-    if (p.ext_factor != 0.0f) {
-        float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor;
-        theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
-
-        // Get n-d magnitude scaling corrected for interpolation
-        mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale);
-    }
-    cos_theta = cos(theta) * mscale;
-    sin_theta = sin(theta) * mscale;
-}
-
-void main() {
-    const uint col = gl_GlobalInvocationID.y * 2;
-    const uint row = gl_GlobalInvocationID.x;
-
-    if (col >= p.ncols) {
-        return;
-    }
-
-    if (col >= p.n_dims) {
-        const uint i = row*p.ncols + col;
-
-        data_d[i + 0] = data_a[i + 0];
-        data_d[i + 1] = data_a[i + 1];
-
-        return;
-    }
-
-    const uint i = row*p.ncols + col;
-    const uint i2 = row/p.p_delta_rows;
-
-    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
-
-    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
-
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
-
-    const float x0 = float(data_a[i + 0]);
-    const float x1 = float(data_a[i + 1]);
-
-    data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
-    data_d[i + 1] = D_TYPE(x0*sin_theta + x1*cos_theta);
-}
-"""
-
-rope_neox_src = """
-#version 450
-
-#extension GL_EXT_shader_16bit_storage : require
-
-layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
-layout (binding = 1) readonly buffer Y {int data_pos[];};
-layout (binding = 2) readonly buffer Z {float data_ff[];};
-layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
-
-layout (push_constant) uniform parameter {
-    uint ncols;
-    uint n_dims;
-    float freq_scale;
-    uint p_delta_rows;
-    float freq_base;
-    float ext_factor;
-    float attn_factor;
-    float corr_dims[2];
-    float theta_scale;
-    uint has_ff;
-} p;
-
-float rope_yarn_ramp(const float low, const float high, const uint i0) {
-    const float y = (i0 / 2 - low) / max(0.001f, high - low);
-    return 1.0f - min(1.0f, max(0.0f, y));
-}
-
-void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) {
-    float mscale = p.attn_factor;
-    // Get n-d rotational scaling corrected for extrapolation
-    float theta_interp = p.freq_scale * theta_extrap;
-    float theta = theta_interp;
-    if (p.ext_factor != 0.0f) {
-        float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor;
-        theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
-
-        // Get n-d magnitude scaling corrected for interpolation
-        mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale);
-    }
-    cos_theta = cos(theta) * mscale;
-    sin_theta = sin(theta) * mscale;
-}
-
-void main() {
-    const uint col = gl_GlobalInvocationID.y * 2;
-    const uint row = gl_GlobalInvocationID.x;
-
-    if (col >= p.ncols) {
-        return;
-    }
-
-    if (col >= p.n_dims) {
-        const uint i = row*p.ncols + col;
-
-        data_d[i + 0] = data_a[i + 0];
-        data_d[i + 1] = data_a[i + 1];
-
-        return;
-    }
-
-    const uint i  = row*p.ncols + col/2;
-    const uint i2 = row/p.p_delta_rows;
-
-    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
-
-    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
-
-    float cos_theta, sin_theta;
-    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
-
-    const float x0 = float(data_a[i + 0]);
-    const float x1 = float(data_a[i + p.n_dims/2]);
-
-    data_d[i + 0]        = D_TYPE(x0*cos_theta - x1*sin_theta);
-    data_d[i + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
-}
-"""
-
-argsort_src = """
-#version 450
-
-#define BLOCK_SIZE 1024
-#define ASC 0
-
-layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1)          buffer D {int data_d[];};
-
-layout (push_constant) uniform parameter {
-    uint ncols;
-    uint ncols_pad;
-    uint order;
-} p;
-
-shared int dst_row[BLOCK_SIZE];
-
-void swap(uint idx0, uint idx1) {
-    int tmp = dst_row[idx0];
-    dst_row[idx0] = dst_row[idx1];
-    dst_row[idx1] = tmp;
-}
-
-void main() {
-    // bitonic sort
-    const int col = int(gl_LocalInvocationID.x);
-    const uint row = gl_WorkGroupID.y;
-
-    if (col >= p.ncols_pad) {
-        return;
-    }
-
-    const uint row_offset = row * p.ncols;
-
-    // initialize indices
-    dst_row[col] = col;
-    barrier();
-
-    for (uint k = 2; k <= p.ncols_pad; k *= 2) {
-        for (uint j = k / 2; j > 0; j /= 2) {
-            const uint ixj = col ^ j;
-            if (ixj > col) {
-                if ((col & k) == 0) {
-                    if (dst_row[col] >= p.ncols ||
-                        (dst_row[ixj] < p.ncols && (p.order == ASC ?
-                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] :
-                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]]))
-                    ) {
-                        swap(col, ixj);
-                    }
-                } else {
-                    if (dst_row[ixj] >= p.ncols ||
-                        (dst_row[col] < p.ncols && (p.order == ASC ?
-                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] :
-                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]]))
-                    ) {
-                        swap(col, ixj);
-                    }
-                }
-            }
-            barrier();
-        }
-    }
-
-    if (col < p.ncols) {
-        data_d[row_offset + col] = dst_row[col];
-    }
-}
-"""
-
-sum_rows_src = """
-#extension GL_EXT_control_flow_attributes : enable
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
-
-layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
-layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
-
-layout (constant_id = 0) const uint BLOCK_SIZE = 32;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-    const uint col = gl_LocalInvocationID.x;
-
-    tmp[col] = FLOAT_TYPE(0.0f);
-
-    for (uint i = col; i < p.KX; i += BLOCK_SIZE) {
-        tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]);
-    }
-
-    barrier();
-    [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) {
-        if (col < s) {
-            tmp[col] += tmp[col + s];
-        }
-        barrier();
-    }
-
-    if (col == 0) {
-        data_d[row] = D_TYPE(tmp[0]);
-    }
-}
-"""
-
 GLSLC = "glslc"
 
-VK_NUM_TYPES = 16
-
-GGML_TYPE_F32  = 0
-GGML_TYPE_F16  = 1
-GGML_TYPE_Q4_0 = 2
-GGML_TYPE_Q4_1 = 3
-GGML_TYPE_Q5_0 = 6
-GGML_TYPE_Q5_1 = 7
-GGML_TYPE_Q8_0 = 8
-GGML_TYPE_Q8_1 = 9
-GGML_TYPE_Q2_K = 10
-GGML_TYPE_Q3_K = 11
-GGML_TYPE_Q4_K = 12
-GGML_TYPE_Q5_K = 13
-GGML_TYPE_Q6_K = 14
-GGML_TYPE_Q8_K = 15
-
-
-type_names = {
-    GGML_TYPE_F32: "f32",
-    GGML_TYPE_F16: "f16",
-    GGML_TYPE_Q4_0: "q4_0",
-    GGML_TYPE_Q4_1: "q4_1",
-    GGML_TYPE_Q5_0: "q5_0",
-    GGML_TYPE_Q5_1: "q5_1",
-    GGML_TYPE_Q8_0: "q8_0",
-    GGML_TYPE_Q8_1: "q8_1",
-    GGML_TYPE_Q2_K: "q2_K",
-    GGML_TYPE_Q3_K: "q3_K",
-    GGML_TYPE_Q4_K: "q4_K",
-    GGML_TYPE_Q5_K: "q5_K",
-    GGML_TYPE_Q6_K: "q6_K",
-    GGML_TYPE_Q8_K: "q8_K",
-}
-
-K_QUANTS_PER_ITERATION = 2
+type_names = [
+    "f32",
+    "f16",
+    "q4_0",
+    "q4_1",
+    "q5_0",
+    "q5_1",
+    "q8_0",
+    "q2_k",
+    "q3_k",
+    "q4_k",
+    "q5_k",
+    "q6_k",
+]
 
 ASYNCIO_CONCURRENCY = 64
 
+input_dir = "vulkan-shaders"
 output_dir = gettempdir()
 
 lock = asyncio.Lock()
 shader_fnames = []
 
 
-async def string_to_spv(name, code, defines, fp16=True):
-    f = NamedTemporaryFile(mode="w", delete=False)
-    f.write(code)
-    f.flush()
-
+async def string_to_spv(name, in_fname, defines, fp16=True):
     name = f"{name}{'_fp32' if not fp16 else ''}"
-    fname = os.path.join(output_dir, f"{name}.comp")
+    out_fname = os.path.join(output_dir, f"{name}.spv")
 
-    cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", f.name, "-o", fname]
+    in_path = os.path.join(input_dir, in_fname)
+
+    cmd = [GLSLC, "-fshader-stage=compute", "--target-env=vulkan1.2", "-O", in_path, "-o", out_fname]
 
     cmd.extend([f"-D{key}={value}" for key, value in defines.items()])
 
@@ -2736,33 +52,46 @@ async def string_to_spv(name, code, defines, fp16=True):
     error = stderr.decode()
 
     if proc.returncode:
-        # Generate preprocessed code
-        cmd = [GLSLC, "-E", f.name]
-        cmd.extend([f"-D{key}={value}" for key, value in defines.items()])
-
-        proc = await asyncio.create_subprocess_exec(*cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE)
-
-        stdout, stderr = await proc.communicate()
-
-        logger.info(" ".join(cmd))
-
-        if proc.returncode:
-            raise RuntimeError(f"{name=} {f.name=} {stdout=} {stderr=}")
-
-        preprocessed_code = stdout.decode()
-
-        cmd.extend([f"-D{key}={value}" for key, value in defines.items()])
-        code_with_lines = "\n".join([f"{i + 1}: {line}" for i, line in enumerate(preprocessed_code.splitlines())])
-        logger.error(f"cannot compile {name}\n\n{code_with_lines}\n\n{error}")
-        f.close()
-        os.remove(f.name)
-        sys.exit(proc.returncode)
-
-    f.close()
-    os.remove(f.name)
+        cmd = " ".join(cmd)
+        logger.error(f"cannot compile {name}\n\n{cmd}\n\n{error}")
+        return
 
     async with lock:
-        shader_fnames.append((name, fname))
+        shader_fnames.append((name, out_fname))
+
+
+def matmul_shaders(tasks, fp16, matmul_id):
+    if fp16:
+        load_vec = "8"
+        aligned_b_type_f32 = "mat2x4"
+        aligned_b_type_f16 = "f16mat2x4"
+    else:
+        load_vec = "4"
+        aligned_b_type_f32 = "vec4"
+        aligned_b_type_f16 = "f16vec4"
+
+    base_dict = {"FLOAT_TYPE": "float" if not fp16 else "float16_t"}
+    shader_name = "matmul"
+
+    if matmul_id:
+        base_dict["MUL_MAT_ID"] = "1"
+        shader_name = "matmul_id"
+
+    if fp16:
+        base_dict["FLOAT16"] = "1"
+
+    # Shaders with f16 B_TYPE
+    tasks.append(string_to_spv(f"{shader_name}_f32_f16", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+    tasks.append(string_to_spv(f"{shader_name}_f32_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F32": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16))
+
+    tasks.append(string_to_spv(f"{shader_name}_f16", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+    tasks.append(string_to_spv(f"{shader_name}_f16_aligned", "mul_mm.comp", base_dict | {"DATA_A_F16": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f16, "D_TYPE": "float"}, fp16))
+
+    for tname in type_names:
+        data_a_key = f"DATA_A_{tname.upper()}"
+        load_vec_a = load_vec if tname in ("f32", "f16") else "2"
+        tasks.append(string_to_spv(f"{shader_name}_{tname}_f32", "mul_mm.comp", base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv(f"{shader_name}_{tname}_f32_aligned", "mul_mm.comp", base_dict | {data_a_key: "2", "LOAD_VEC_A": load_vec_a, "LOAD_VEC_B": load_vec, "B_TYPE": aligned_b_type_f32, "D_TYPE": "float"}, fp16))
 
 
 async def main():
@@ -2770,292 +99,81 @@ async def main():
 
     tasks = []
 
-    stream = []
-
     for fp16 in (False, True):
-        # mulmat
-        if fp16:
-            shader_float_type = shader_f16
-            load_vec = "8"
-            vec_type_f16 = "f16mat2x4"
-            vec_type = "mat2x4"
-        else:
-            shader_float_type = shader_f32
-            load_vec = "4"
-            vec_type_f16 = "f16vec4"
-            vec_type = "vec4"
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
-        tasks.append(string_to_spv("matmul_f32", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        tasks.append(string_to_spv("matmul_f32_f16", "".join(stream), {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f32_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
-
-        tasks.append(string_to_spv("matmul_f16", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f16_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
-
-        tasks.append(string_to_spv("matmul_f16_f32", "".join(stream), {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_f16_f32_aligned", "".join(stream), {"LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q4_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q4_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q4_1_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q4_1_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q5_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q5_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q5_1_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q5_1_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q8_0_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q8_0_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q2_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q2_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q3_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q3_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q4_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q4_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q5_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q5_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_q6_k_f32", "".join(stream), {"LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_q6_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
+        # MUL_MAT
+        matmul_shaders(tasks, fp16, False)
         # MUL_MAT_ID
-        stream.clear()
-        stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        matmul_shaders(tasks, fp16, True)
 
-        tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
+    for tname in type_names:
+        base_dict = {"FLOAT_TYPE": "float"}
 
-        tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        # mul mat vec
+        data_a_key = f"DATA_A_{tname.upper()}"
+        shader = f"mul_mat_vec_{tname}.comp" if tname.endswith("_k") else "mul_mat_vec.comp"
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f32_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"}))
+        tasks.append(string_to_spv(f"mul_mat_vec_{tname}_f16_f32", shader, base_dict | {data_a_key: "1", "B_TYPE": "float16_t", "D_TYPE": "float"}))
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv(f"mul_mat_vec_id_{tname}_f32", shader, base_dict | {"MUL_MAT_ID": "1", data_a_key: "1", "B_TYPE": "float", "D_TYPE": "float"}))
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        # Dequant shaders
+        if tname != "f16":
+            tasks.append(string_to_spv(f"dequant_{tname}", f"dequant_{tname}.comp", base_dict | {data_a_key: "1", "D_TYPE": "float16_t"}))
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        # get_rows
+        if not tname.endswith("_k"):
+            shader = "get_rows.comp" if tname in ("f32", "f16") else "get_rows_quant.comp"
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+            if tname == "f16":
+                tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"}))
+            else:
+                tasks.append(string_to_spv(f"get_rows_{tname}", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float16_t"}))
+            tasks.append(string_to_spv(f"get_rows_{tname}_f32", shader, {data_a_key: "1", "B_TYPE": "int", "D_TYPE": "float"}))
 
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        stream.clear()
-        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
-        tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-    # Shaders where precision is needed, so no fp16 version
-
-    # mul mat vec
-    for i in range(0, VK_NUM_TYPES):
-        stream.clear()
-        stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32))
-
-        if i == GGML_TYPE_F32:
-            stream.extend((shader_f32_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_F16:
-            stream.extend((shader_f16_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q4_0:
-            stream.extend((shader_q4_0_defines, mul_mat_vec_layout, shader_q4_0_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q4_1:
-            stream.extend((shader_q4_1_defines, mul_mat_vec_layout, shader_q4_1_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q5_0:
-            stream.extend((shader_q5_0_defines, mul_mat_vec_layout, shader_q5_0_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q5_1:
-            stream.extend((shader_q5_1_defines, mul_mat_vec_layout, shader_q5_1_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q8_0:
-            stream.extend((shader_q8_0_defines, mul_mat_vec_layout, shader_q8_0_dequant_func, mul_mat_vec_body))
-        elif i == GGML_TYPE_Q2_K:
-            stream.extend((shader_q2_K_defines, mul_mat_vec_layout, mul_mat_vec_q2_K_body))
-        elif i == GGML_TYPE_Q3_K:
-            stream.extend((shader_q3_K_defines, mul_mat_vec_layout, mul_mat_vec_q3_K_body))
-        elif i == GGML_TYPE_Q4_K:
-            stream.extend((shader_q4_K_defines, mul_mat_vec_layout, mul_mat_vec_q4_K_body))
-        elif i == GGML_TYPE_Q5_K:
-            stream.extend((shader_q5_K_defines, mul_mat_vec_layout, mul_mat_vec_q5_K_body))
-        elif i == GGML_TYPE_Q6_K:
-            stream.extend((shader_q6_K_defines, mul_mat_vec_layout, mul_mat_vec_q6_K_body))
-        else:
-            continue
-
-        tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
-        tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f16_f32", "".join(stream), {"B_TYPE": "float16_t", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
-
-        tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
-
-    # Dequant shaders
-    for i in range(0, VK_NUM_TYPES):
-        stream.clear()
-
-        stream.extend((dequant_head, shader_int8_ext, shader_f32))
-
-        if i == GGML_TYPE_F32:
-            stream.append(dequant_f32_body)
-        elif i == GGML_TYPE_Q4_0:
-            stream.extend((shader_q4_0_defines, dequant_q4_0_body))
-        elif i == GGML_TYPE_Q4_1:
-            stream.extend((shader_q4_1_defines, dequant_q4_1_body))
-        elif i == GGML_TYPE_Q5_0:
-            stream.extend((shader_q5_0_defines, dequant_q5_0_body))
-        elif i == GGML_TYPE_Q5_1:
-            stream.extend((shader_q5_1_defines, dequant_q5_1_body))
-        elif i == GGML_TYPE_Q8_0:
-            stream.extend((shader_q8_0_defines, dequant_q8_0_body))
-        elif i == GGML_TYPE_Q2_K:
-            stream.extend((shader_q2_K_defines, dequant_q2_K_body))
-        elif i == GGML_TYPE_Q3_K:
-            stream.extend((shader_q3_K_defines, dequant_q3_K_body))
-        elif i == GGML_TYPE_Q4_K:
-            stream.extend((shader_q4_K_defines, dequant_q4_K_body))
-        elif i == GGML_TYPE_Q5_K:
-            stream.extend((shader_q5_K_defines, dequant_q5_K_body))
-        elif i == GGML_TYPE_Q6_K:
-            stream.extend((shader_q6_K_defines, dequant_q6_K_body))
-        else:
-            continue
-
-        tasks.append(string_to_spv(f"dequant_{type_names[i]}", "".join(stream), {"D_TYPE": "float16_t"}))
-
-    # get_rows
-    for i in range(0, VK_NUM_TYPES):
-        stream.clear()
-        stream.extend((generic_binary_op_head, shader_int8_ext, shader_f32))
-        optimization_workaround = False
-
-        if i == GGML_TYPE_F32:
-            stream.extend((shader_f32_defines, generic_binary_op_layout, generic_binary_op_funcs, get_rows_float_body))
-        elif i == GGML_TYPE_F16:
-            stream.extend((shader_f16_defines, generic_binary_op_layout, generic_binary_op_funcs, get_rows_float_body))
-            optimization_workaround = True
-        elif i == GGML_TYPE_Q4_0:
-            stream.extend((shader_q4_0_defines, generic_binary_op_layout, shader_q4_0_dequant_func, generic_binary_op_funcs, get_rows_body))
-        elif i == GGML_TYPE_Q4_1:
-            stream.extend((shader_q4_1_defines, generic_binary_op_layout, shader_q4_1_dequant_func, generic_binary_op_funcs, get_rows_body))
-        elif i == GGML_TYPE_Q5_0:
-            stream.extend((shader_q5_0_defines, generic_binary_op_layout, shader_q5_0_dequant_func, generic_binary_op_funcs, get_rows_body))
-        elif i == GGML_TYPE_Q5_1:
-            stream.extend((shader_q5_1_defines, generic_binary_op_layout, shader_q5_1_dequant_func, generic_binary_op_funcs, get_rows_body))
-        elif i == GGML_TYPE_Q8_0:
-            stream.extend((shader_q8_0_defines, generic_binary_op_layout, shader_q8_0_dequant_func, generic_binary_op_funcs, get_rows_body))
-        else:
-            continue
-
-        if optimization_workaround:
-            tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"}))
-        else:
-            tasks.append(string_to_spv(f"get_rows_{type_names[i]}", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float16_t"}))
-        tasks.append(string_to_spv(f"get_rows_{type_names[i]}_f32", "".join(stream), {"B_TYPE": "int", "D_TYPE": "float"}))
-
-    tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", mul_mat_p021_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", mul_mat_nc_src, {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("mul_mat_vec_p021_f16_f32", "mul_mat_vec_p021.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {"A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}))
 
     # Norms
-    tasks.append(string_to_spv("norm_f32", f"{generic_head}\n{shader_f32}\n{norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("rms_norm_f32", f"{generic_head}\n{shader_f32}\n{rms_norm_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("norm_f32", "norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("rms_norm_f32", "rms_norm.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"}))
 
-    tasks.append(string_to_spv("cpy_f32_f32", f"{generic_unary_op_combined}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("cpy_f32_f16", f"{generic_unary_op_combined}\n{cpy_end}", {"A_TYPE": "float", "D_TYPE": "float16_t"}))
-    tasks.append(string_to_spv("cpy_f16_f16", f"{generic_unary_op_combined}\n{cpy_f16_f16_end}", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
+    tasks.append(string_to_spv("cpy_f32_f32", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("cpy_f32_f16", "copy.comp", {"A_TYPE": "float", "D_TYPE": "float16_t"}))
+    tasks.append(string_to_spv("cpy_f16_f16", "copy.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t", "OPTIMIZATION_ERROR_WORKAROUND": "1"}))
 
-    tasks.append(string_to_spv("add_f32", f"{generic_binary_op_combined}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("add_f32", "add.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}))
+    tasks.append(string_to_spv("split_k_reduce", "mul_mat_split_k_reduce.comp", {}))
 
-    tasks.append(string_to_spv("mul_f32", f"{generic_binary_op_combined}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("mul_f32", "mul.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("div_f32", f"{generic_binary_op_combined}\n{div_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("div_f32", "div.comp", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("scale_f32", f"{generic_unary_op_combined}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("scale_f32", "scale.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("sqr_f32", f"{generic_unary_op_combined}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("sqr_f32", "square.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("clamp_f32", f"{generic_unary_op_combined}\n{clamp_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+    tasks.append(string_to_spv("clamp_f32", "clamp.comp", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
-    tasks.append(string_to_spv("gelu_f32", f"{generic_head}\n{shader_f32}\n{gelu_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("silu_f32", f"{generic_head}\n{shader_f32}\n{silu_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("relu_f32", f"{generic_head}\n{shader_f32}\n{relu_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("gelu_f32", "gelu.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("silu_f32", "silu.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("relu_f32", "relu.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
 
-    tasks.append(string_to_spv("diag_mask_inf_f32", f"{diag_mask_inf_head}\n{shader_f32}\n{diag_mask_inf_body}", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("diag_mask_inf_f32", "diag_mask_inf.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
 
-    tasks.append(string_to_spv("soft_max_f32", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float", "C_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("soft_max_f32_f16", f"{soft_max_head}\n{shader_f32}\n{soft_max_body}", {"A_TYPE": "float", "B_TYPE": "float16_t", "C_TYPE": "float16_t", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("soft_max_f32", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("soft_max_f32_f16", "soft_max.comp", base_dict | {"A_TYPE": "float", "B_TYPE": "float16_t", "D_TYPE": "float"}))
 
-    tasks.append(string_to_spv("rope_norm_f32", rope_norm_src, {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("rope_norm_f16", rope_norm_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
+    tasks.append(string_to_spv("rope_norm_f32", "rope_norm.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("rope_norm_f16", "rope_norm.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
 
-    tasks.append(string_to_spv("rope_neox_f32", rope_neox_src, {"A_TYPE": "float", "D_TYPE": "float"}))
-    tasks.append(string_to_spv("rope_neox_f16", rope_neox_src, {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
+    tasks.append(string_to_spv("rope_neox_f32", "rope_neox.comp", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("rope_neox_f16", "rope_neox.comp", {"A_TYPE": "float16_t", "D_TYPE": "float16_t"}))
 
-    tasks.append(string_to_spv("argsort_f32", argsort_src, {"A_TYPE": "float"}))
+    tasks.append(string_to_spv("argsort_f32", "argsort.comp", {"A_TYPE": "float"}))
 
-    tasks.append(string_to_spv("sum_rows_f32", f"{generic_head}\n{shader_f32}\n{sum_rows_src}", {"A_TYPE": "float", "D_TYPE": "float"}))
+    tasks.append(string_to_spv("sum_rows_f32", "sum_rows.comp", base_dict | {"A_TYPE": "float", "D_TYPE": "float"}))
 
     # Helper to decorate tasks with semaphore acquisition.
     async def withSemaphore(sem, task):
diff --git a/vulkan-shaders/add.comp b/vulkan-shaders/add.comp
new file mode 100644
index 000000000..8475b0119
--- /dev/null
+++ b/vulkan-shaders/add.comp
@@ -0,0 +1,12 @@
+#version 450
+
+#include "types.comp"
+#include "generic_binary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
diff --git a/vulkan-shaders/argsort.comp b/vulkan-shaders/argsort.comp
new file mode 100644
index 000000000..e55414b03
--- /dev/null
+++ b/vulkan-shaders/argsort.comp
@@ -0,0 +1,71 @@
+#version 450
+
+#include "types.comp"
+
+#define BLOCK_SIZE 1024
+#define ASC 0
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1)          buffer D {int data_d[];};
+
+layout (push_constant) uniform parameter {
+    uint ncols;
+    uint ncols_pad;
+    uint order;
+} p;
+
+shared int dst_row[BLOCK_SIZE];
+
+void swap(uint idx0, uint idx1) {
+    int tmp = dst_row[idx0];
+    dst_row[idx0] = dst_row[idx1];
+    dst_row[idx1] = tmp;
+}
+
+void main() {
+    // bitonic sort
+    const int col = int(gl_LocalInvocationID.x);
+    const uint row = gl_WorkGroupID.y;
+
+    if (col >= p.ncols_pad) {
+        return;
+    }
+
+    const uint row_offset = row * p.ncols;
+
+    // initialize indices
+    dst_row[col] = col;
+    barrier();
+
+    for (uint k = 2; k <= p.ncols_pad; k *= 2) {
+        for (uint j = k / 2; j > 0; j /= 2) {
+            const uint ixj = col ^ j;
+            if (ixj > col) {
+                if ((col & k) == 0) {
+                    if (dst_row[col] >= p.ncols ||
+                        (dst_row[ixj] < p.ncols && (p.order == ASC ?
+                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] :
+                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]]))
+                    ) {
+                        swap(col, ixj);
+                    }
+                } else {
+                    if (dst_row[ixj] >= p.ncols ||
+                        (dst_row[col] < p.ncols && (p.order == ASC ?
+                            data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] :
+                            data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]]))
+                    ) {
+                        swap(col, ixj);
+                    }
+                }
+            }
+            barrier();
+        }
+    }
+
+    if (col < p.ncols) {
+        data_d[row_offset + col] = dst_row[col];
+    }
+}
diff --git a/vulkan-shaders/clamp.comp b/vulkan-shaders/clamp.comp
new file mode 100644
index 000000000..ca272e227
--- /dev/null
+++ b/vulkan-shaders/clamp.comp
@@ -0,0 +1,13 @@
+#version 450
+
+#include "types.comp"
+#include "generic_unary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val < p.param1 ? p.param1 : (val > p.param2 ? p.param2 : val));
+}
diff --git a/vulkan-shaders/copy.comp b/vulkan-shaders/copy.comp
new file mode 100644
index 000000000..efb55876e
--- /dev/null
+++ b/vulkan-shaders/copy.comp
@@ -0,0 +1,16 @@
+#version 450
+
+#include "types.comp"
+#include "generic_unary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+#ifndef OPTIMIZATION_ERROR_WORKAROUND
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
+#else
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = data_a[src0_idx(gl_GlobalInvocationID.x)];
+#endif
+}
diff --git a/vulkan-shaders/dequant_f32.comp b/vulkan-shaders/dequant_f32.comp
new file mode 100644
index 000000000..a4d3fca55
--- /dev/null
+++ b/vulkan-shaders/dequant_f32.comp
@@ -0,0 +1,20 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {float data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_GlobalInvocationID.x * 16;
+
+    if (i >= p.nel) {
+        return;
+    }
+
+    [[unroll]] for (uint l = 0; l < 16; l++) {
+        data_b[i + l] = D_TYPE(data_a[i + l]);
+    }
+}
diff --git a/vulkan-shaders/dequant_funcs.comp b/vulkan-shaders/dequant_funcs.comp
new file mode 100644
index 000000000..35d424d18
--- /dev/null
+++ b/vulkan-shaders/dequant_funcs.comp
@@ -0,0 +1,60 @@
+#if !defined(DATA_A_F32) && !defined(DATA_A_F16)
+#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
+#endif
+
+#if defined(DATA_A_F32)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]);
+}
+#endif
+
+#if defined(DATA_A_F16)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    return vec2(data_a[a_offset + ib], data_a[a_offset + ib + 1]);
+}
+#endif
+
+#if defined(DATA_A_Q4_0)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
+    return (vec2(vui & 0xF, vui >> 4) - 8.0f) * d;
+}
+#endif
+
+#if defined(DATA_A_Q4_1)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    const float m = float(data_a[a_offset + ib].m);
+    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
+    return vec2(vui & 0xF, vui >> 4) * d + m;
+}
+#endif
+
+#if defined(DATA_A_Q5_0)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    const uint uint_qh = uint(data_a[a_offset + ib].qh[1]) << 16 | data_a[a_offset + ib].qh[0];
+    const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
+    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
+    return (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d;
+}
+#endif
+
+#if defined(DATA_A_Q5_1)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    const float m = float(data_a[a_offset + ib].m);
+    const uint uint_qh = data_a[a_offset + ib].qh;
+    const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
+    const uint vui = uint(data_a[a_offset + ib].qs[iqs]);
+    return vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m;
+}
+#endif
+
+#if defined(DATA_A_Q8_0)
+vec2 dequantize(uint ib, uint iqs, uint a_offset) {
+    const float d = float(data_a[a_offset + ib].d);
+    return vec2(int(data_a[a_offset + ib].qs[iqs]), int(data_a[a_offset + ib].qs[iqs + 1])) * d;
+}
+#endif
diff --git a/vulkan-shaders/dequant_head.comp b/vulkan-shaders/dequant_head.comp
new file mode 100644
index 000000000..8d806435b
--- /dev/null
+++ b/vulkan-shaders/dequant_head.comp
@@ -0,0 +1,13 @@
+#extension GL_EXT_control_flow_attributes : require
+#extension GL_EXT_shader_16bit_storage : require
+
+layout (push_constant) uniform parameter
+{
+    uint M;
+    uint K;
+    uint stride_a;
+    uint stride_b;
+    uint nel;
+} p;
+
+#include "types.comp"
diff --git a/vulkan-shaders/dequant_q2_k.comp b/vulkan-shaders/dequant_q2_k.comp
new file mode 100644
index 000000000..157154af3
--- /dev/null
+++ b/vulkan-shaders/dequant_q2_k.comp
@@ -0,0 +1,34 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
+        const uint i = gl_WorkGroupID.x * 256 + wgy;
+        if (i >= p.M * p.K / QUANT_K) {
+            return;
+        }
+
+        const uint tid = gl_LocalInvocationID.x;
+        const uint ip = tid / 32;
+        const uint il = tid - 32 * ip;
+        const uint is = 8 * ip + il / 16;
+
+        const uint y_idx = i * QUANT_K + 128 * ip + il;
+
+        const uint ql_idx = 32 * ip + il;
+        const uint8_t qs = data_a[i].qs[32 * ip + il];
+
+        FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
+        FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
+        data_b[y_idx +  0] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+0] & 0xF) * ((qs >> 0) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+0] >> 4));
+        data_b[y_idx + 32] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+2] & 0xF) * ((qs >> 2) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+2] >> 4));
+        data_b[y_idx + 64] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+4] & 0xF) * ((qs >> 4) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+4] >> 4));
+        data_b[y_idx + 96] = D_TYPE(dall * FLOAT_TYPE((data_a[i].scales[is+6] & 0xF) * ((qs >> 6) & 3)) - dmin * FLOAT_TYPE(data_a[i].scales[is+6] >> 4));
+    }
+}
diff --git a/vulkan-shaders/dequant_q3_k.comp b/vulkan-shaders/dequant_q3_k.comp
new file mode 100644
index 000000000..c17dd0d99
--- /dev/null
+++ b/vulkan-shaders/dequant_q3_k.comp
@@ -0,0 +1,42 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
+        const uint i = uint(gl_WorkGroupID.x * 256 + wgy);
+        if (i >= p.M * p.K / QUANT_K) {
+            return;
+        }
+
+        const uint r = gl_LocalInvocationID.x / 4;
+        const uint tid = r / 2;
+        const uint is0 = r % 2;
+        const uint l0 = 16 * is0 + 4 * (gl_LocalInvocationID.x % 4);
+        const uint n = tid / 4;
+        const uint j = tid - 4*n;
+
+        const uint8_t m = uint8_t(1 << (4*n + j));
+        const uint is = 8*n + 2*j + is0;
+        const uint shift = 2*j;
+
+        const int8_t us = int8_t(is <  4 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+8] >> 0) & 3) << 4) :
+                                 is <  8 ? (data_a[i].scales[is-0] & 0xF) | (((data_a[i].scales[is+4] >> 2) & 3) << 4) :
+                                 is < 12 ? (data_a[i].scales[is-8] >>  4) | (((data_a[i].scales[is+0] >> 4) & 3) << 4) :
+                                           (data_a[i].scales[is-8] >>  4) | (((data_a[i].scales[is-4] >> 6) & 3) << 4));
+        const FLOAT_TYPE d_all = FLOAT_TYPE(data_a[i].d);
+        const FLOAT_TYPE dl    = d_all * FLOAT_TYPE(us - 32);
+
+        const uint y_idx = i * QUANT_K + 128 * n + 32 * j;
+        const uint qs_idx = 32*n;
+
+        for (uint l = l0; l < l0 + 4; ++l) {
+            data_b[y_idx + l] = D_TYPE(dl * FLOAT_TYPE(int8_t((data_a[i].qs[qs_idx + l] >> shift) & 3) - (((data_a[i].hmask[l] & m) != 0) ? 0 : 4)));
+        }
+    }
+}
diff --git a/vulkan-shaders/dequant_q4_0.comp b/vulkan-shaders/dequant_q4_0.comp
new file mode 100644
index 000000000..11e07e66b
--- /dev/null
+++ b/vulkan-shaders/dequant_q4_0.comp
@@ -0,0 +1,32 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q4_0 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid/32;
+    const uint ir  = tid%32;
+    const uint ib = 32*i + ir;
+    if (ib >= p.nel / 32) {
+        return;
+    }
+
+    const uint b_idx = 1024*i + 32*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const float dm = -8.0f * d;
+
+    const uint q_idx = 8*il;
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l +  0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + dm);
+        data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >>  4) + dm);
+    }
+}
diff --git a/vulkan-shaders/dequant_q4_1.comp b/vulkan-shaders/dequant_q4_1.comp
new file mode 100644
index 000000000..2f27eee68
--- /dev/null
+++ b/vulkan-shaders/dequant_q4_1.comp
@@ -0,0 +1,32 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q4_1 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid/32;
+    const uint ir  = tid%32;
+    const uint ib = 32*i + ir;
+    if (ib >= p.nel / 32) {
+        return;
+    }
+
+    const uint b_idx = 1024*i + 32*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const float m = float(data_a[ib].m);
+
+    const uint q_idx = 8*il;
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        data_b[b_idx + l +  0] = D_TYPE(d * (data_a[ib].qs[q_idx + l] & 0xF) + m);
+        data_b[b_idx + l + 16] = D_TYPE(d * (data_a[ib].qs[q_idx + l] >>  4) + m);
+    }
+}
diff --git a/vulkan-shaders/dequant_q4_k.comp b/vulkan-shaders/dequant_q4_k.comp
new file mode 100644
index 000000000..92acb7540
--- /dev/null
+++ b/vulkan-shaders/dequant_q4_k.comp
@@ -0,0 +1,56 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
+        const uint i = gl_WorkGroupID.x * 256 + wgy;
+        if (i >= p.M * p.K / QUANT_K) {
+            return;
+        }
+
+        const uint tid = gl_LocalInvocationID.x;
+        const uint il = tid / 8;
+        const uint ir = tid % 8;
+        const uint is = 2 * il;
+        const uint n = 4;
+
+        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
+        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
+
+        const uint y_idx = i * QUANT_K + 64 * il + n * ir;
+        const uint qs_idx = 32*il + n * ir;
+
+        uint8_t sc;
+        uint8_t m;
+        if (is < 4) {
+            sc = uint8_t(data_a[i].scales[is] & 63);
+            m  = uint8_t(data_a[i].scales[is + 4] & 63);
+        } else {
+            sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4));
+            m  = uint8_t((data_a[i].scales[is + 4] >>  4) | ((data_a[i].scales[is    ] >> 6) << 4));
+        }
+        const FLOAT_TYPE d1 = dall * sc;
+        const FLOAT_TYPE m1 = dmin * m;
+
+        if (is < 4) {
+            sc = uint8_t(data_a[i].scales[is + 1] & 63);
+            m  = uint8_t(data_a[i].scales[is + 5] & 63);
+        } else {
+            sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4));
+            m  = uint8_t((data_a[i].scales[is + 5] >>  4) | ((data_a[i].scales[is + 1] >> 6) << 4));
+        }
+        const FLOAT_TYPE d2 = dall * sc;
+        const FLOAT_TYPE m2 = dmin * m;
+
+        [[unroll]] for (uint l = 0; l < n; ++l) {
+            data_b[y_idx + l     ] = D_TYPE(d1 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] & 0xF) - m1);
+            data_b[y_idx + l + 32] = D_TYPE(d2 * FLOAT_TYPE(data_a[i].qs[qs_idx + l] >>  4) - m2);
+        }
+    }
+}
diff --git a/vulkan-shaders/dequant_q5_0.comp b/vulkan-shaders/dequant_q5_0.comp
new file mode 100644
index 000000000..b20b80529
--- /dev/null
+++ b/vulkan-shaders/dequant_q5_0.comp
@@ -0,0 +1,34 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q5_0 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid/32;
+    const uint ir  = tid%32;
+    const uint ib = 32*i + ir;
+    if (ib >= p.nel / 32) {
+        return;
+    }
+
+    const uint b_idx = 1024*i + 32*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const uint qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0];
+
+    const uint q_idx = 8*il;
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        const uint iqs = q_idx + l;
+        const uint vui = uint(data_a[ib].qs[iqs]);
+        data_b[b_idx + l +  0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10)) - 16.0f));
+        data_b[b_idx + l + 16] = D_TYPE(d * (((vui >>  4) | ((qh >> (iqs + 12)) & 0x10)) - 16.0f));
+    }
+}
diff --git a/vulkan-shaders/dequant_q5_1.comp b/vulkan-shaders/dequant_q5_1.comp
new file mode 100644
index 000000000..dc59fe3b7
--- /dev/null
+++ b/vulkan-shaders/dequant_q5_1.comp
@@ -0,0 +1,35 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q5_1 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid/32;
+    const uint ir  = tid%32;
+    const uint ib = 32*i + ir;
+    if (ib >= p.nel / 32) {
+        return;
+    }
+
+    const uint b_idx = 1024*i + 32*ir + 8*il;
+
+    const float d = float(data_a[ib].d);
+    const float m = float(data_a[ib].m);
+    const uint qh = data_a[ib].qh;
+
+    const uint q_idx = 8*il;
+
+    [[unroll]] for (uint l = 0; l < 8; ++l) {
+        const uint iqs = q_idx + l;
+        const uint vui = uint(data_a[ib].qs[iqs]);
+        data_b[b_idx + l +  0] = D_TYPE(d * (((vui & 0xF) | (((qh >> iqs) << 4) & 0x10))) + m);
+        data_b[b_idx + l + 16] = D_TYPE(d * (((vui >>  4) | ((qh >> (iqs + 12)) & 0x10))) + m);
+    }
+}
diff --git a/vulkan-shaders/dequant_q5_k.comp b/vulkan-shaders/dequant_q5_k.comp
new file mode 100644
index 000000000..f314a76d1
--- /dev/null
+++ b/vulkan-shaders/dequant_q5_k.comp
@@ -0,0 +1,58 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
+        const uint i = gl_WorkGroupID.x * 256 + wgy;
+        if (i >= p.M * p.K / QUANT_K) {
+            return;
+        }
+
+        const uint tid = gl_LocalInvocationID.x;
+        const uint il = tid / 16;
+        const uint ir = tid % 16;
+        const uint is = 2 * il;
+
+        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[i].d.x);
+        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[i].d.y);
+
+        const uint y_idx = i * QUANT_K + 64 * il + 2 * ir;
+        const uint qs_idx = 32*il + 2 * ir;
+        const uint qh_idx = 2 * ir;
+
+        uint8_t sc;
+        uint8_t m;
+        if (is < 4) {
+            sc = uint8_t(data_a[i].scales[is] & 63);
+            m  = uint8_t(data_a[i].scales[is + 4] & 63);
+        } else {
+            sc = uint8_t((data_a[i].scales[is + 4] & 0xF) | ((data_a[i].scales[is - 4] >> 6) << 4));
+            m  = uint8_t((data_a[i].scales[is + 4] >>  4) | ((data_a[i].scales[is    ] >> 6) << 4));
+        }
+        const FLOAT_TYPE d1 = dall * sc;
+        const FLOAT_TYPE m1 = dmin * m;
+
+        if (is < 4) {
+            sc = uint8_t(data_a[i].scales[is + 1] & 63);
+            m  = uint8_t(data_a[i].scales[is + 5] & 63);
+        } else {
+            sc = uint8_t((data_a[i].scales[is + 5] & 0xF) | ((data_a[i].scales[is - 3] >> 6) << 4));
+            m  = uint8_t((data_a[i].scales[is + 5] >>  4) | ((data_a[i].scales[is + 1] >> 6) << 4));
+        }
+        const FLOAT_TYPE d2 = dall * sc;
+        const FLOAT_TYPE m2 = dmin * m;
+
+        const uint8_t hm1 = uint8_t(1 << (2 * il    ));
+        const uint8_t hm2 = uint8_t(1 << (2 * il + 1));
+        data_b[y_idx     ] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx    ] & 0xF) + (((data_a[i].qh[qh_idx    ] & hm1) != 0) ? 16 : 0)) - m1);
+        data_b[y_idx +  1] = D_TYPE(d1 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1] & 0xF) + (((data_a[i].qh[qh_idx + 1] & hm1) != 0) ? 16 : 0)) - m1);
+        data_b[y_idx + 32] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx    ]  >> 4) + (((data_a[i].qh[qh_idx    ] & hm2) != 0) ? 16 : 0)) - m2);
+        data_b[y_idx + 33] = D_TYPE(d2 * FLOAT_TYPE((data_a[i].qs[qs_idx + 1]  >> 4) + (((data_a[i].qh[qh_idx + 1] & hm2) != 0) ? 16 : 0)) - m2);
+    }
+}
diff --git a/vulkan-shaders/dequant_q6_k.comp b/vulkan-shaders/dequant_q6_k.comp
new file mode 100644
index 000000000..0b9131755
--- /dev/null
+++ b/vulkan-shaders/dequant_q6_k.comp
@@ -0,0 +1,33 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 64, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    [[unroll]] for (uint wgy = 0; wgy < 256; wgy++) {
+        const uint i = gl_WorkGroupID.x * 256 + wgy;
+        if (i >= p.M * p.K / QUANT_K) {
+            return;
+        }
+        const uint tid = gl_LocalInvocationID.x;
+        const uint ip = tid / 32;
+        const uint il = tid - 32 * ip;
+        const uint is = 8 * ip + il / 16;
+
+        const uint y_idx = i * QUANT_K + 128 * ip + il;
+
+        const uint ql_idx = 64 * ip + il;
+        const uint8_t qh = data_a[i].qh[32 * ip + il];
+
+        const FLOAT_TYPE d = FLOAT_TYPE(data_a[i].d);
+
+        data_b[y_idx +  0] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 0] * (int8_t((data_a[i].ql[ql_idx +  0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32)));
+        data_b[y_idx + 32] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 2] * (int8_t((data_a[i].ql[ql_idx + 32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32)));
+        data_b[y_idx + 64] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 4] * (int8_t((data_a[i].ql[ql_idx +  0] >>  4) | (((qh >> 4) & 3) << 4)) - 32)));
+        data_b[y_idx + 96] = D_TYPE(d * FLOAT_TYPE(data_a[i].scales[is + 6] * (int8_t((data_a[i].ql[ql_idx + 32] >>  4) | (((qh >> 6) & 3) << 4)) - 32)));
+    }
+}
diff --git a/vulkan-shaders/dequant_q8_0.comp b/vulkan-shaders/dequant_q8_0.comp
new file mode 100644
index 000000000..bd1344a88
--- /dev/null
+++ b/vulkan-shaders/dequant_q8_0.comp
@@ -0,0 +1,31 @@
+#version 450
+
+#include "dequant_head.comp"
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {block_q8_0 data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_b[];};
+
+void main() {
+    const uint i = gl_WorkGroupID.x * 4 + gl_LocalInvocationID.x / 64;
+
+    const uint tid = gl_LocalInvocationID.x % 64;
+    const uint il  = tid/32;
+    const uint ir  = tid%32;
+    const uint ib = 32*i + ir;
+    if (ib >= p.nel / 32) {
+        return;
+    }
+
+    const uint b_idx = 1024*i + 32*ir + 16*il;
+
+    const float d = float(data_a[ib].d);
+
+    const uint q_idx = 16*il;
+
+    [[unroll]] for (uint l = 0; l < 16; l += 2) {
+        data_b[b_idx + l    ] = D_TYPE(d * data_a[ib].qs[q_idx + l    ]);
+        data_b[b_idx + l + 1] = D_TYPE(d * data_a[ib].qs[q_idx + l + 1]);
+    }
+}
diff --git a/vulkan-shaders/diag_mask_inf.comp b/vulkan-shaders/diag_mask_inf.comp
new file mode 100644
index 000000000..4e68742b5
--- /dev/null
+++ b/vulkan-shaders/diag_mask_inf.comp
@@ -0,0 +1,34 @@
+#version 450
+
+#extension GL_EXT_shader_16bit_storage : require
+#extension GL_EXT_control_flow_attributes : enable
+
+layout (push_constant) uniform parameter
+{
+    uint ncols;
+    uint rows_per_channel;
+    uint n_past;
+} p;
+
+#include "types.comp"
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const uint col = gl_GlobalInvocationID.y;
+    const uint row = gl_GlobalInvocationID.x;
+
+    if (col >= p.ncols) {
+        return;
+    }
+
+    const uint i = row*p.ncols + col;
+    if (col > p.n_past + row % p.rows_per_channel) {
+        data_d[i] = D_TYPE(uintBitsToFloat(0xFF800000));
+    } else {
+        data_d[i] = D_TYPE(data_a[i]);
+    }
+}
diff --git a/vulkan-shaders/div.comp b/vulkan-shaders/div.comp
new file mode 100644
index 000000000..8ee4bfc73
--- /dev/null
+++ b/vulkan-shaders/div.comp
@@ -0,0 +1,12 @@
+#version 450
+
+#include "types.comp"
+#include "generic_binary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
diff --git a/vulkan-shaders/gelu.comp b/vulkan-shaders/gelu.comp
new file mode 100644
index 000000000..9fe807cce
--- /dev/null
+++ b/vulkan-shaders/gelu.comp
@@ -0,0 +1,25 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const float GELU_COEF_A    = 0.044715f;
+    const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
+    const uint i = gl_GlobalInvocationID.x;
+
+    if (i >= p.KX) {
+        return;
+    }
+
+    const float xi = float(data_a[i]);
+    const float val = SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi);
+    data_d[i] = D_TYPE(0.5f*xi*(2.0f - 2.0f / (exp(2 * val) + 1)));
+}
diff --git a/vulkan-shaders/generic_binary_head.comp b/vulkan-shaders/generic_binary_head.comp
new file mode 100644
index 000000000..ab45d2564
--- /dev/null
+++ b/vulkan-shaders/generic_binary_head.comp
@@ -0,0 +1,48 @@
+#extension GL_EXT_shader_16bit_storage : require
+
+layout (push_constant) uniform parameter
+{
+    uint ne;
+    uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03;
+    uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13;
+    uint ne20; uint ne21; uint ne22; uint ne23; uint nb20; uint nb21; uint nb22; uint nb23;
+    uint d_offset;
+    float param1; float param2;
+} p;
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
+layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
+
+uint src0_idx(uint idx) {
+    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
+    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
+    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
+    const uint i02_offset = i02*p.ne01*p.ne00;
+    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
+    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
+    return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00;
+}
+
+uint src1_idx(uint idx) {
+    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
+    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
+    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
+    const uint i02_offset = i02*p.ne01*p.ne00;
+    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
+    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
+
+    return (i03 % p.ne13)*p.nb13 + (i02 % p.ne12)*p.nb12 + (i01 % p.ne11)*p.nb11 + (i00 % p.ne10)*p.nb10;
+}
+
+uint dst_idx(uint idx) {
+    const uint i23 = idx / (p.ne22*p.ne21*p.ne20);
+    const uint i23_offset = i23 * p.ne22*p.ne21*p.ne20;
+    const uint i22 = (idx - i23_offset) / (p.ne21*p.ne20);
+    const uint i22_offset = i22*p.ne21*p.ne20;
+    const uint i21 = (idx - i23_offset - i22_offset) / p.ne20;
+    const uint i20 = idx - i23_offset - i22_offset - i21*p.ne20;
+    return i23*p.nb23 + i22*p.nb22 + i21*p.nb21 + i20*p.nb20;
+}
diff --git a/vulkan-shaders/generic_head.comp b/vulkan-shaders/generic_head.comp
new file mode 100644
index 000000000..66e46ae67
--- /dev/null
+++ b/vulkan-shaders/generic_head.comp
@@ -0,0 +1,9 @@
+#extension GL_EXT_shader_16bit_storage : require
+
+layout (push_constant) uniform parameter
+{
+    uint KX;
+    uint KY;
+    float param1;
+    float param2;
+} p;
diff --git a/vulkan-shaders/generic_unary_head.comp b/vulkan-shaders/generic_unary_head.comp
new file mode 100644
index 000000000..de08de7cd
--- /dev/null
+++ b/vulkan-shaders/generic_unary_head.comp
@@ -0,0 +1,35 @@
+#extension GL_EXT_shader_16bit_storage : require
+
+layout (push_constant) uniform parameter
+{
+    uint ne;
+    uint ne00; uint ne01; uint ne02; uint ne03; uint nb00; uint nb01; uint nb02; uint nb03;
+    uint ne10; uint ne11; uint ne12; uint ne13; uint nb10; uint nb11; uint nb12; uint nb13;
+    uint d_offset;
+    float param1; float param2;
+} p;
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+uint src0_idx(uint idx) {
+    const uint i03 = idx / (p.ne02*p.ne01*p.ne00);
+    const uint i03_offset = i03 * p.ne02*p.ne01*p.ne00;
+    const uint i02 = (idx - i03_offset) / (p.ne01*p.ne00);
+    const uint i02_offset = i02*p.ne01*p.ne00;
+    const uint i01 = (idx - i03_offset - i02_offset) / p.ne00;
+    const uint i00 = idx - i03_offset - i02_offset - i01*p.ne00;
+    return i03*p.nb03 + i02*p.nb02 + i01*p.nb01 + i00*p.nb00;
+}
+
+uint dst_idx(uint idx) {
+    const uint i13 = idx / (p.ne12*p.ne11*p.ne10);
+    const uint i13_offset = i13 * p.ne12*p.ne11*p.ne10;
+    const uint i12 = (idx - i13_offset) / (p.ne11*p.ne10);
+    const uint i12_offset = i12*p.ne11*p.ne10;
+    const uint i11 = (idx - i13_offset - i12_offset) / p.ne10;
+    const uint i10 = idx - i13_offset - i12_offset - i11*p.ne10;
+    return i13*p.nb13 + i12*p.nb12 + i11*p.nb11 + i10*p.nb10;
+}
diff --git a/vulkan-shaders/get_rows.comp b/vulkan-shaders/get_rows.comp
new file mode 100644
index 000000000..e9ff22efa
--- /dev/null
+++ b/vulkan-shaders/get_rows.comp
@@ -0,0 +1,26 @@
+#version 450
+
+#include "types.comp"
+#include "generic_binary_head.comp"
+
+void main() {
+    const uint i00 = gl_GlobalInvocationID.x;
+    const uint i10 = gl_GlobalInvocationID.y;
+    const uint i11 = (gl_GlobalInvocationID.z)/p.ne12;
+    const uint i12 = (gl_GlobalInvocationID.z)%p.ne12;
+
+    if (i00 >= p.ne00) {
+        return;
+    }
+
+    const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12];
+
+    const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03;
+    const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23;
+
+#ifndef OPTIMIZATION_ERROR_WORKAROUND
+    data_d[d_offset + i00] = D_TYPE(data_a[a_offset + i00]);
+#else
+    data_d[d_offset + i00] = data_a[a_offset + i00];
+#endif
+}
diff --git a/vulkan-shaders/get_rows_quant.comp b/vulkan-shaders/get_rows_quant.comp
new file mode 100644
index 000000000..53a9a96f2
--- /dev/null
+++ b/vulkan-shaders/get_rows_quant.comp
@@ -0,0 +1,31 @@
+#version 450
+
+#include "types.comp"
+#include "generic_binary_head.comp"
+#include "dequant_funcs.comp"
+
+void main() {
+    const uint i00 = (gl_GlobalInvocationID.x)*2;
+    const uint i10 = gl_GlobalInvocationID.y;
+    const uint i11 = (gl_GlobalInvocationID.z)/p.ne12;
+    const uint i12 = (gl_GlobalInvocationID.z)%p.ne12;
+
+    if (i00 >= p.ne00) {
+        return;
+    }
+
+    const uint i01 = data_b[i10*p.nb10 + i11*p.nb11 + i12*p.nb12];
+
+    const uint a_offset = i01*p.nb01 + i11*p.nb02 + i12*p.nb03;
+    const uint d_offset = i10*p.nb21 + i11*p.nb22 + i12*p.nb23;
+
+    const uint ib = a_offset + i00/QUANT_K; // block index
+    const uint iqs = (i00%QUANT_K)/QUANT_R; // quant index
+    const uint iybs = i00 - i00%QUANT_K; // dst block start index
+    const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
+
+    vec2 v = dequantize(ib, iqs, 0);
+
+    data_d[d_offset + iybs + iqs           ] = D_TYPE(v.x);
+    data_d[d_offset + iybs + iqs + y_offset] = D_TYPE(v.y);
+}
diff --git a/vulkan-shaders/mul.comp b/vulkan-shaders/mul.comp
new file mode 100644
index 000000000..bbb0aa1d2
--- /dev/null
+++ b/vulkan-shaders/mul.comp
@@ -0,0 +1,12 @@
+#version 450
+
+#include "types.comp"
+#include "generic_binary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
diff --git a/vulkan-shaders/mul_mat_split_k_reduce.comp b/vulkan-shaders/mul_mat_split_k_reduce.comp
new file mode 100644
index 000000000..825b91031
--- /dev/null
+++ b/vulkan-shaders/mul_mat_split_k_reduce.comp
@@ -0,0 +1,29 @@
+#version 450
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 256, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {float data_a[];};
+layout (binding = 1) writeonly buffer D {float data_d[];};
+
+layout (push_constant) uniform parameter {
+    uint ne;
+    uint k_num;
+} p;
+
+void main() {
+    const uint idx = gl_GlobalInvocationID.x;
+
+    if (idx >= p.ne) {
+        return;
+    }
+
+    float result = 0.0f;
+
+    [[unroll]] for (uint i = 0; i < p.k_num; i++) {
+        result += data_a[i * p.ne + idx];
+    }
+
+    data_d[idx] = result;
+}
diff --git a/vulkan-shaders/mul_mat_vec.comp b/vulkan-shaders/mul_mat_vec.comp
new file mode 100644
index 000000000..292ccfd74
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec.comp
@@ -0,0 +1,50 @@
+#version 450
+
+#ifdef FLOAT16
+#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
+#endif
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint tid = gl_LocalInvocationID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
+
+    tmp[tid] = FLOAT_TYPE(0.0f);
+
+    [[unroll]] for (uint i = 0; i < p.ncols/BLOCK_SIZE; i += 2) {
+        const uint col = i*BLOCK_SIZE + 2*tid;
+        const uint ib = (row*p.ncols + col)/QUANT_K; // block index
+        const uint iqs = (col%QUANT_K)/QUANT_R; // quant index
+        const uint iybs = col - col%QUANT_K; // y block start index
+
+        vec2 v = dequantize(ib, iqs, a_offset / QUANT_K);
+
+        // matrix multiplication
+        tmp[tid] += FLOAT_TYPE(v.x) * FLOAT_TYPE(data_b[b_offset + iybs + iqs]) +
+                    FLOAT_TYPE(v.y) * FLOAT_TYPE(data_b[b_offset + iybs + iqs + y_offset]);
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = BLOCK_SIZE/2; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_base.comp b/vulkan-shaders/mul_mat_vec_base.comp
new file mode 100644
index 000000000..5920bc936
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_base.comp
@@ -0,0 +1,81 @@
+#extension GL_EXT_control_flow_attributes : enable
+#extension GL_EXT_shader_16bit_storage : require
+#extension GL_EXT_shader_8bit_storage : require
+
+#define K_QUANTS_PER_ITERATION 2
+
+#ifdef MUL_MAT_ID
+#define EXPERT_COUNT 8
+#endif
+
+#include "types.comp"
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
+layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
+#ifdef MUL_MAT_ID
+layout (binding = 3) readonly buffer IDS {int data_ids[];};
+#endif
+
+#include "dequant_funcs.comp"
+
+layout (push_constant) uniform parameter
+{
+    uint ncols;
+    uint stride_a;
+    uint stride_b;
+    uint stride_d;
+
+    uint batch_stride_a;
+    uint batch_stride_b;
+    uint batch_stride_d;
+
+#ifdef MUL_MAT_ID
+    uint nei0;
+    uint ne11;
+#else
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
+#endif
+} p;
+
+void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
+#ifdef MUL_MAT_ID
+    const uint expert_idx = gl_GlobalInvocationID.y;
+#else
+    const uint batch_idx = gl_GlobalInvocationID.y;
+#endif
+
+#ifndef MUL_MAT_ID
+    const uint i13 = batch_idx / p.ne12;
+    const uint i12 = batch_idx % p.ne12;
+
+    const uint i03 = i13 / p.broadcast3;
+    const uint i02 = i12 / p.broadcast2;
+
+    const uint batch_idx_a = i03 * p.ne02 + i02;
+#else
+    const uint expert_id = data_ids[expert_idx];
+#endif
+
+    a_offset =
+#ifdef MUL_MAT_ID
+            expert_id * p.batch_stride_a;
+#else
+            batch_idx_a * p.batch_stride_a;
+#endif
+    b_offset =
+#ifdef MUL_MAT_ID
+            (expert_idx % p.ne11) * p.stride_b;
+#else
+            batch_idx * p.batch_stride_b;
+#endif
+    d_offset =
+#ifdef MUL_MAT_ID
+            expert_idx * p.stride_d;
+#else
+            batch_idx * p.batch_stride_d;
+#endif
+}
diff --git a/vulkan-shaders/mul_mat_vec_nc.comp b/vulkan-shaders/mul_mat_vec_nc.comp
new file mode 100644
index 000000000..cb3f3c0df
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_nc.comp
@@ -0,0 +1,71 @@
+#version 450
+
+#extension GL_EXT_control_flow_attributes : enable
+#extension GL_EXT_shader_16bit_storage : require
+
+#define BLOCK_SIZE 32
+#define FLOAT_TYPE float
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
+layout (binding = 2) writeonly buffer D {D_TYPE dst[];};
+
+layout (push_constant) uniform parameter
+{
+    uint ncols_x;
+    uint nrows_x;
+    uint row_stride_x;
+    uint channel_stride_x;
+    uint channel_x_divisor;
+    uint b_offset;
+    uint d_offset;
+} p;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint tid       = gl_LocalInvocationID.x;
+    const uint row_x     = gl_GlobalInvocationID.y;
+    const uint channel   = gl_GlobalInvocationID.z;
+    const uint channel_x = channel / p.channel_x_divisor;
+
+    const uint nrows_y   = p.ncols_x;
+    const uint nrows_dst = p.nrows_x;
+    const uint row_dst   = row_x;
+
+    const uint idst = channel*nrows_dst + row_dst;
+
+    tmp[tid] = 0.0f;
+
+    for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) {
+        const uint col_x = col_x0 + tid;
+
+        if (col_x >= p.ncols_x) {
+            break;
+        }
+
+        const uint row_y = col_x;
+
+        const uint ix = channel_x*p.channel_stride_x + row_x*p.row_stride_x + col_x;
+        const uint iy = channel*nrows_y + row_y;
+
+        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]);
+
+        tmp[tid] += xi * FLOAT_TYPE(data_b[iy]);
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+
+    if (tid == 0) {
+        dst[idst] = tmp[0];
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_p021.comp b/vulkan-shaders/mul_mat_vec_p021.comp
new file mode 100644
index 000000000..4b1871caa
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_p021.comp
@@ -0,0 +1,73 @@
+#version 450
+
+#extension GL_EXT_control_flow_attributes : enable
+#extension GL_EXT_shader_16bit_storage : require
+
+#define BLOCK_SIZE 32
+#define FLOAT_TYPE float
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
+layout (binding = 2) writeonly buffer D {D_TYPE dst[];};
+
+layout (push_constant) uniform parameter
+{
+    uint ncols_x;
+    uint nrows_x;
+    uint nchannels_x;
+    uint nchannels_y;
+    uint b_offset;
+    uint d_offset;
+} p;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint tid = gl_LocalInvocationID.x;
+    const uint row_x = gl_GlobalInvocationID.y;
+    const uint channel = gl_GlobalInvocationID.z;
+    const uint channel_x = channel / (p.nchannels_y / p.nchannels_x);
+
+    const uint nrows_y = p.ncols_x;
+    const uint nrows_dst = p.nrows_x;
+    const uint row_dst = row_x;
+
+    tmp[tid] = FLOAT_TYPE(0.0f);
+
+    for (uint col_x0 = 0; col_x0 < p.ncols_x; col_x0 += BLOCK_SIZE) {
+        const uint col_x = col_x0 + tid;
+
+        if (col_x >= p.ncols_x) {
+            break;
+        }
+
+        // x is transposed and permuted
+        const uint ix = row_x*p.nchannels_x*p.ncols_x + channel_x*p.ncols_x + col_x;
+        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[ix]);
+
+        const uint row_y = col_x;
+
+        // y is not transposed but permuted
+        const uint iy = channel*nrows_y + row_y;
+
+        tmp[tid] += xi * FLOAT_TYPE(data_b[iy]);
+    }
+
+    // dst is not transposed and not permuted
+    const uint idst = channel*nrows_dst + row_dst;
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+
+    if (tid == 0) {
+        dst[idst] = tmp[0];
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_q2_k.comp b/vulkan-shaders/mul_mat_vec_q2_k.comp
new file mode 100644
index 000000000..27bf6d51c
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q2_k.comp
@@ -0,0 +1,73 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint num_blocks_per_row = p.ncols / QUANT_K;
+    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
+    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
+
+    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
+
+    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
+
+    const uint l0 = K_QUANTS_PER_ITERATION*v_in;            // 0...15
+    const uint q_offset = 32*v_im + l0;
+    const uint s_offset = 8*v_im;
+    const uint y_offset = 128*v_im + l0;
+
+    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const uint y_idx = i * QUANT_K + y_offset;
+
+        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
+        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
+
+        FLOAT_TYPE sum1 = FLOAT_TYPE(0.0);
+        FLOAT_TYPE sum2 = FLOAT_TYPE(0.0);
+        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+            sum1 += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3);
+            sum2 += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF)
+                  + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF);
+        }
+        tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_q3_k.comp b/vulkan-shaders/mul_mat_vec_q3_k.comp
new file mode 100644
index 000000000..7c837fef2
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q3_k.comp
@@ -0,0 +1,66 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint num_blocks_per_row = p.ncols / QUANT_K;
+    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
+    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
+
+    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
+
+    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
+
+    const uint8_t m = uint8_t(1 << (4 * v_im));
+
+    const uint l0 = K_QUANTS_PER_ITERATION*v_in;            // 0...15
+    const uint q_offset = 32*v_im + l0;
+    const uint y_offset = 128*v_im + l0;
+
+    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+    const uint s_shift = 4 * v_im;
+
+    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const uint y_idx = i * QUANT_K + y_offset;
+
+        const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d);
+
+        FLOAT_TYPE sum = FLOAT_TYPE(0.0);
+        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+            sum += FLOAT_TYPE(data_b[b_offset + y_idx + l +  0]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[0] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ]     ) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 0)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[2] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 1)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[4] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 8] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 2)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[6] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[10] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l   ] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l   ] & (m << 3)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[1] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16]     ) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 0)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[3] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 0) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 2) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 1)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[5] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[ 9] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 4) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 2)) != 0) ? 0 : 4))
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(int8_t(((data_a[ib0 + i].scales[7] >> s_shift) & 0xF) | ((data_a[ib0 + i].scales[11] >> (s_shift + 2) & 0x3) << 4)) - 32) * FLOAT_TYPE(((data_a[ib0 + i].qs[q_offset + l+16] >> 6) & 3) - (((data_a[ib0 + i].hmask[l0 + l+16] & (m << 3)) != 0) ? 0 : 4));
+        }
+        tmp[16 * ix + tid] += d * sum;
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_q4_k.comp b/vulkan-shaders/mul_mat_vec_q4_k.comp
new file mode 100644
index 000000000..1566f26d3
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q4_k.comp
@@ -0,0 +1,115 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint num_blocks_per_row = p.ncols / QUANT_K;
+    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
+    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
+
+    const uint step = 8/K_QUANTS_PER_ITERATION;             // 8 or 4
+
+    const uint il = tid/step;                               // 0...3
+    const uint ir = tid - step*il;                          // 0...7 or 0...3
+    const uint n =  2 * K_QUANTS_PER_ITERATION;             // 2 or 4
+
+    const uint v_im = il / 2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const uint v_in = il % 2;
+
+    const uint l0 = n * (2 * ir + v_in);            // 0...15
+    const uint q_offset = 32*v_im + l0;
+    const uint y_offset = 64*v_im + l0;
+
+    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const uint y1_idx = i * QUANT_K + y_offset;
+        const uint y2_idx = y1_idx + 128;
+
+        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
+        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
+
+        const uint8_t sc0 = uint8_t(  data_a[ib0 + i].scales[v_im * 2    ]       & 0x3f);
+        const uint8_t sc1 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 1]       & 0x3f);
+        const uint8_t sc2 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 4]       & 0x3f);
+        const uint8_t sc3 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 5]       & 0x3f);
+        const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2    ] & 0xc0) >> 2));
+        const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2));
+        const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2));
+        const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2));
+
+#if K_QUANTS_PER_ITERATION == 2
+        const uint8_t q4_0  = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
+        const uint8_t q4_1  = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
+        const uint8_t q4_2  = uint8_t(data_a[ib0 + i].qs[q_offset +  2] & 0xf);
+        const uint8_t q4_3  = uint8_t(data_a[ib0 + i].qs[q_offset +  3] & 0xf);
+        const uint8_t q4_4  = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
+        const uint8_t q4_5  = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
+        const uint8_t q4_6  = uint8_t(data_a[ib0 + i].qs[q_offset +  2]  >> 4);
+        const uint8_t q4_7  = uint8_t(data_a[ib0 + i].qs[q_offset +  3]  >> 4);
+        const uint8_t q4_8  = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
+        const uint8_t q4_9  = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
+        const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 66] & 0xf);
+        const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 67] & 0xf);
+        const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
+        const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
+        const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 66]  >> 4);
+        const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 67]  >> 4);
+
+        const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx]) * q4_0 + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * q4_1 + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * q4_2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * q4_3);
+        const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_4 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_5 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * q4_7);
+        const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx]) * q4_8 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * q4_9 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * q4_10 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * q4_11);
+        const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_12 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_13 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * q4_14 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * q4_15);
+        const FLOAT_TYPE smin = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y1_idx    ]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx    ]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 2]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 34]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 2]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 34]) * sc7
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 3]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 35]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 3]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 35]) * sc7
+        );
+        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin);
+#else
+        const uint8_t q4_0 = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
+        const uint8_t q4_1 = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
+        const uint8_t q4_2 = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
+        const uint8_t q4_3 = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
+        const uint8_t q4_4 = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
+        const uint8_t q4_5 = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
+        const uint8_t q4_6 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
+        const uint8_t q4_7 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
+
+        const FLOAT_TYPE sx = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx     ]) * q4_0  + FLOAT_TYPE(data_b[b_offset + y1_idx +  1]) * q4_1);
+        const FLOAT_TYPE sy = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * q4_2  + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * q4_3);
+        const FLOAT_TYPE sz = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx     ]) * q4_4  + FLOAT_TYPE(data_b[b_offset + y2_idx +  1]) * q4_5);
+        const FLOAT_TYPE sw = FLOAT_TYPE(FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * q4_6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * q4_7);
+        const FLOAT_TYPE smin = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y1_idx]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * sc7
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) * sc2 + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * sc3 + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) * sc6 + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * sc7
+        );
+
+        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * FLOAT_TYPE(data_a[ib0 + i].scales[v_im] & 0x3f) + sy * FLOAT_TYPE(data_a[ib0 + i].scales[v_im + 1] & 0x3f) + sz * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 4] & 0x0f) | ((data_a[ib0 + i].scales[v_im] & 0xc0) >> 2)) + sw * FLOAT_TYPE((data_a[ib0 + i].scales[v_im + 5] & 0x0f) | ((data_a[ib0 + i].scales[v_im + 1] & 0xc0) >> 2))) - dmin * smin);
+#endif
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_q5_k.comp b/vulkan-shaders/mul_mat_vec_q5_k.comp
new file mode 100644
index 000000000..4add64327
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q5_k.comp
@@ -0,0 +1,111 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint num_blocks_per_row = p.ncols / QUANT_K;
+    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+    const uint tid = gl_LocalInvocationID.x/2;  // 0...31 or 0...16
+    const uint ix  = gl_LocalInvocationID.x%2;  // 0 or 0, 1
+
+    const uint il = tid/4;                           // 0...3
+    const uint ir = tid - 4*il;                      // 0...7 or 0...3
+
+    const uint v_im = il / 2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const uint v_in = il % 2;
+
+    const uint l0 = 4*ir + 2*v_in;                   // 0...15
+    const uint q_offset = 32*v_im + l0;
+    const uint y_offset = 64*v_im + l0;
+
+    const uint8_t hm1 = uint8_t(1 << (2*v_im));
+    const uint8_t hm2 = uint8_t(hm1 << 4);
+
+    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += 2) {
+        const uint y1_idx = i * QUANT_K + y_offset;
+        const uint y2_idx = y1_idx + 128;
+
+        const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
+        const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
+
+        const uint8_t sc0 = uint8_t(  data_a[ib0 + i].scales[v_im * 2    ]       & 0x3f);
+        const uint8_t sc1 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 1]       & 0x3f);
+        const uint8_t sc2 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 4]       & 0x3f);
+        const uint8_t sc3 = uint8_t(  data_a[ib0 + i].scales[v_im * 2 + 5]       & 0x3f);
+        const uint8_t sc4 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 8]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2    ] & 0xc0) >> 2));
+        const uint8_t sc5 = uint8_t(( data_a[ib0 + i].scales[v_im * 2 + 9]       & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 1] & 0xc0) >> 2));
+        const uint8_t sc6 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 8] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 4] & 0xc0) >> 2));
+        const uint8_t sc7 = uint8_t(((data_a[ib0 + i].scales[v_im * 2 + 9] >> 4) & 0x0f) | ((data_a[ib0 + i].scales[v_im * 2 + 5] & 0xc0) >> 2));
+
+        const uint8_t q4_0  = uint8_t(data_a[ib0 + i].qs[q_offset     ] & 0xf);
+        const uint8_t q4_1  = uint8_t(data_a[ib0 + i].qs[q_offset +  1] & 0xf);
+        const uint8_t q4_2  = uint8_t(data_a[ib0 + i].qs[q_offset + 16] & 0xf);
+        const uint8_t q4_3  = uint8_t(data_a[ib0 + i].qs[q_offset + 17] & 0xf);
+        const uint8_t q4_4  = uint8_t(data_a[ib0 + i].qs[q_offset     ]  >> 4);
+        const uint8_t q4_5  = uint8_t(data_a[ib0 + i].qs[q_offset +  1]  >> 4);
+        const uint8_t q4_6  = uint8_t(data_a[ib0 + i].qs[q_offset + 16]  >> 4);
+        const uint8_t q4_7  = uint8_t(data_a[ib0 + i].qs[q_offset + 17]  >> 4);
+        const uint8_t q4_8  = uint8_t(data_a[ib0 + i].qs[q_offset + 64] & 0xf);
+        const uint8_t q4_9  = uint8_t(data_a[ib0 + i].qs[q_offset + 65] & 0xf);
+        const uint8_t q4_10 = uint8_t(data_a[ib0 + i].qs[q_offset + 80] & 0xf);
+        const uint8_t q4_11 = uint8_t(data_a[ib0 + i].qs[q_offset + 81] & 0xf);
+        const uint8_t q4_12 = uint8_t(data_a[ib0 + i].qs[q_offset + 64]  >> 4);
+        const uint8_t q4_13 = uint8_t(data_a[ib0 + i].qs[q_offset + 65]  >> 4);
+        const uint8_t q4_14 = uint8_t(data_a[ib0 + i].qs[q_offset + 80]  >> 4);
+        const uint8_t q4_15 = uint8_t(data_a[ib0 + i].qs[q_offset + 81]  >> 4);
+
+        const FLOAT_TYPE sx = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y1_idx     ]) * (q4_0 + (((data_a[ib0 + i].qh[l0     ] & hm1) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx +  1]) * (q4_1 + (((data_a[ib0 + i].qh[l0 +  1] & hm1) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) * (q4_2 + (((data_a[ib0 + i].qh[l0 + 16] & hm1) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 17]) * (q4_3 + (((data_a[ib0 + i].qh[l0 + 17] & hm1) != 0) ? 16 : 0))
+        );
+        const FLOAT_TYPE sy = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) * (q4_4 + (((data_a[ib0 + i].qh[l0     ] & (hm1 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) * (q4_5 + (((data_a[ib0 + i].qh[l0 +  1] & (hm1 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) * (q4_6 + (((data_a[ib0 + i].qh[l0 + 16] & (hm1 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y1_idx + 49]) * (q4_7 + (((data_a[ib0 + i].qh[l0 + 17] & (hm1 << 1)) != 0) ? 16 : 0))
+        );
+        const FLOAT_TYPE sz = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y2_idx     ]) * (q4_8  + (((data_a[ib0 + i].qh[l0     ] & hm2) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx +  1]) * (q4_9  + (((data_a[ib0 + i].qh[l0 +  1] & hm2) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) * (q4_10 + (((data_a[ib0 + i].qh[l0 + 16] & hm2) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx + 17]) * (q4_11 + (((data_a[ib0 + i].qh[l0 + 17] & hm2) != 0) ? 16 : 0))
+        );
+        const FLOAT_TYPE sw = FLOAT_TYPE(
+            FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) * (q4_12 + (((data_a[ib0 + i].qh[l0     ] & (hm2 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) * (q4_13 + (((data_a[ib0 + i].qh[l0 +  1] & (hm2 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) * (q4_14 + (((data_a[ib0 + i].qh[l0 + 16] & (hm2 << 1)) != 0) ? 16 : 0))
+          + FLOAT_TYPE(data_b[b_offset + y2_idx + 49]) * (q4_15 + (((data_a[ib0 + i].qh[l0 + 17] & (hm2 << 1)) != 0) ? 16 : 0))
+        );
+        const FLOAT_TYPE smin = FLOAT_TYPE(
+            (FLOAT_TYPE(data_b[b_offset + y1_idx]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 17])) * sc2 + (FLOAT_TYPE(data_b[b_offset + y1_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y1_idx + 49])) * sc3
+          + (FLOAT_TYPE(data_b[b_offset + y2_idx]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 1]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 16]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 17])) * sc6 + (FLOAT_TYPE(data_b[b_offset + y2_idx + 32]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 33]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 48]) + FLOAT_TYPE(data_b[b_offset + y2_idx + 49])) * sc7
+        );
+        tmp[16 * ix + tid] += FLOAT_TYPE(dall * (sx * sc0 + sy * sc1 + sz * sc4 + sw * sc5) - dmin * smin);
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+        }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mat_vec_q6_k.comp b/vulkan-shaders/mul_mat_vec_q6_k.comp
new file mode 100644
index 000000000..8c550e7c3
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q6_k.comp
@@ -0,0 +1,79 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
+
+    const uint num_blocks_per_row = p.ncols / QUANT_K;
+    const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+    const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION;  // 0...31 or 0...16
+    const uint ix  = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION;  // 0 or 0, 1
+
+    const uint step = 16/K_QUANTS_PER_ITERATION;            // 16 or 8
+
+    const uint v_im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const uint v_in = tid - step*v_im;                      // 0...15 or 0...7
+
+#if K_QUANTS_PER_ITERATION == 1
+    const uint l0 = v_in;                                   // 0...15
+    const uint is = 0;
+#else
+    const uint l0 = 4 * v_in;                               // 0, 4, 8, ..., 28
+    const uint is = v_in / 4;
+#endif
+
+    const uint ql_offset = 64*v_im + l0;
+    const uint qh_offset = 32*v_im + l0;
+    const uint s_offset  =  8*v_im + is;
+    const uint y_offset = 128*v_im + l0;
+
+    tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+    [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+        const uint y_idx   = i * QUANT_K + y_offset;
+
+        const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d);
+
+#if K_QUANTS_PER_ITERATION == 1
+        FLOAT_TYPE sum = FLOAT_TYPE(data_b[b_offset + y_idx +  0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset +  0] & 0xF) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x03) << 4)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x03) << 4)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32] & 0xF) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x0c) << 2)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48] & 0xF) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x0c) << 2)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset +  0]  >> 4) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0x30) >> 0)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 16]  >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0x30) >> 0)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 32]  >> 4) | ((data_a[ib0 + i].qh[qh_offset +  0] & 0xc0) >> 2)) - 32)
+                       + FLOAT_TYPE(data_b[b_offset + y_idx +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + 48]  >> 4) | ((data_a[ib0 + i].qh[qh_offset + 16] & 0xc0) >> 2)) - 32);
+        tmp[16 * ix + tid] += sum;
+#else
+        FLOAT_TYPE sum = FLOAT_TYPE(0.0);
+        [[unroll]] for (int l = 0; l < 4; ++l) {
+            sum += FLOAT_TYPE(data_b[b_offset + y_idx + l+ 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 0) & 3) << 4)) - 32)
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32] & 0xF) | (((data_a[ib0 + i].qh[qh_offset + l] >> 2) & 3) << 4)) - 32)
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+ 0]  >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 4) & 3) << 4)) - 32)
+                 + FLOAT_TYPE(data_b[b_offset + y_idx + l+96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6]) * d * FLOAT_TYPE(int8_t((data_a[ib0 + i].ql[ql_offset + l+32]  >> 4) | (((data_a[ib0 + i].qh[qh_offset + l] >> 6) & 3) << 4)) - 32);
+        }
+        tmp[16 * ix + tid] += sum;
+#endif
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+        if (tid < s) {
+            tmp[tid] += tmp[tid + s];
+       }
+        barrier();
+    }
+    if (tid == 0) {
+        data_d[d_offset + row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/mul_mm.comp b/vulkan-shaders/mul_mm.comp
new file mode 100644
index 000000000..7c2b45cce
--- /dev/null
+++ b/vulkan-shaders/mul_mm.comp
@@ -0,0 +1,494 @@
+#version 450
+
+#extension GL_EXT_control_flow_attributes : enable
+#extension GL_EXT_shader_16bit_storage : require
+
+#ifdef FLOAT16
+#extension GL_EXT_shader_explicit_arithmetic_types_float16 : require
+#endif
+
+#ifdef MUL_MAT_ID
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
+#endif
+
+#include "types.comp"
+
+#ifndef LOAD_VEC_A
+#define LOAD_VEC_A 1
+#endif
+#ifndef LOAD_VEC_B
+#define LOAD_VEC_B 1
+#endif
+
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
+layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
+
+#ifdef MUL_MAT_ID
+layout (binding = 3) readonly buffer IDS {int data_ids[];};
+#endif
+
+layout (push_constant) uniform parameter
+{
+    uint M;
+    uint N;
+    uint K;
+    uint stride_a;
+    uint stride_b;
+    uint stride_d;
+
+    uint batch_stride_a;
+    uint batch_stride_b;
+    uint batch_stride_d;
+
+#ifdef MUL_MAT_ID
+    uint nei0;
+    uint nei1;
+    uint nbi1;
+    uint ne11;
+#else
+    uint k_split;
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
+#endif
+} p;
+
+layout (constant_id = 1) const uint BM = 64;
+layout (constant_id = 2) const uint BN = 64;
+layout (constant_id = 3) const uint BK = 16;  // Assumed to be 32 if working with a quant
+layout (constant_id = 4) const uint WM = 32;
+layout (constant_id = 5) const uint WN = 32;
+layout (constant_id = 6) const uint WMITER = 2;
+layout (constant_id = 7) const uint TM = 4;
+layout (constant_id = 8) const uint TN = 2;
+layout (constant_id = 9) const uint WARP = 32;
+
+shared FLOAT_TYPE buf_a[BM * (BK+1)];
+shared FLOAT_TYPE buf_b[BN * (BK+1)];
+
+#ifdef MUL_MAT_ID
+shared u16vec2 row_ids[2048];
+#endif
+
+void main() {
+#ifdef MUL_MAT_ID
+    const uint expert_idx = gl_GlobalInvocationID.z;
+#else
+    const uint batch_idx = gl_GlobalInvocationID.z;
+
+    const uint i13 = batch_idx / p.ne12;
+    const uint i12 = batch_idx % p.ne12;
+
+    const uint i03 = i13 / p.broadcast3;
+    const uint i02 = i12 / p.broadcast2;
+
+    const uint batch_idx_a = i03 * p.ne02 + i02;
+#endif
+
+    const uint blocks_m = (p.M + BM - 1) / BM;
+    const uint ir = gl_WorkGroupID.x % blocks_m;
+    const uint ik = gl_WorkGroupID.x / blocks_m;
+    const uint ic = gl_WorkGroupID.y;
+
+    const uint warp_i = gl_LocalInvocationID.x / WARP;
+    const uint warp_r = warp_i % (BM / WM);
+    const uint warp_c = warp_i / (BM / WM);
+
+    const uint WNITER = (WM * WN) / (WARP * TM * TN * WMITER);
+    const uint WSUBM = WM / WMITER;
+    const uint WSUBN = WN / WNITER;
+
+    const uint tiw = gl_LocalInvocationID.x % WARP;
+    const uint tiwr = tiw % (WSUBM / TM);
+    const uint tiwc = tiw / (WSUBM / TM);
+
+    const uint loadr_a = gl_LocalInvocationID.x % (BK / LOAD_VEC_A);
+    const uint loadc_a = gl_LocalInvocationID.x / (BK / LOAD_VEC_A);
+    const uint loadr_b = gl_LocalInvocationID.x % (BK / LOAD_VEC_B);
+    const uint loadc_b = gl_LocalInvocationID.x / (BK / LOAD_VEC_B);
+
+    const uint loadstride_a = gl_WorkGroupSize.x * LOAD_VEC_A / BK;
+    const uint loadstride_b = gl_WorkGroupSize.x * LOAD_VEC_B / BK;
+
+#ifdef MUL_MAT_ID
+    uint _ne1 = 0;
+    for (uint ii1 = 0; ii1 < p.nei1; ii1++) {
+        for (uint ii0 = 0; ii0 < p.nei0; ii0++) {
+            if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
+                row_ids[_ne1] = u16vec2(ii0, ii1);
+                _ne1++;
+            }
+        }
+    }
+
+    barrier();
+
+    // Workgroup has no work
+    if (ic * BN >= _ne1) return;
+#endif
+
+#ifdef MUL_MAT_ID
+    const uint start_k = 0;
+    const uint end_k = p.K;
+#else
+    const uint start_k = ik * p.k_split;
+    const uint end_k = min(p.K, (ik + 1) * p.k_split);
+#endif
+
+    uint pos_a = (
+#ifdef MUL_MAT_ID
+        expert_idx * p.batch_stride_a +
+#else
+        batch_idx_a * p.batch_stride_a +
+#endif
+        ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
+#ifdef MUL_MAT_ID
+    uint pos_b = 0;
+#else
+    uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
+#endif
+
+    float sums[WMITER * TM * WNITER * TN];
+    FLOAT_TYPE cache_a[WMITER * TM];
+    FLOAT_TYPE cache_b[WNITER * TN];
+
+    [[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN; i++) {
+        sums[i] = 0.0f;
+    }
+
+    [[unroll]] for (uint block = start_k; block < end_k; block += BK) {
+        [[unroll]] for (uint l = 0; l < BM; l += loadstride_a) {
+
+#if defined(DATA_A_F32) || defined(DATA_A_F16)
+#if LOAD_VEC_A == 8
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+            buf_a[buf_idx    ] = FLOAT_TYPE(data_a[idx][0].x);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx][0].y);
+            buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx][0].z);
+            buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx][0].w);
+            buf_a[buf_idx + 4] = FLOAT_TYPE(data_a[idx][1].x);
+            buf_a[buf_idx + 5] = FLOAT_TYPE(data_a[idx][1].y);
+            buf_a[buf_idx + 6] = FLOAT_TYPE(data_a[idx][1].z);
+            buf_a[buf_idx + 7] = FLOAT_TYPE(data_a[idx][1].w);
+#elif LOAD_VEC_A == 4
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+            buf_a[buf_idx    ] = FLOAT_TYPE(data_a[idx].x);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(data_a[idx].y);
+            buf_a[buf_idx + 2] = FLOAT_TYPE(data_a[idx].z);
+            buf_a[buf_idx + 3] = FLOAT_TYPE(data_a[idx].w);
+#else
+            if (ir * BM + loadc_a + l < p.M && block + loadr_a < end_k) {
+                buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(data_a[pos_a + (loadc_a + l) * p.stride_a + loadr_a]);
+            } else {
+                buf_a[(loadc_a + l) * (BK+1) + loadr_a] = FLOAT_TYPE(0.0f);
+            }
+#endif
+#elif defined(DATA_A_Q4_0)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xF;
+
+            const float d = float(data_a[ib].d);
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const vec2 v = (vec2(vui & 0xF, vui >> 4) - 8.0f) * d;
+
+            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q4_1)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xF;
+
+            const float d = float(data_a[ib].d);
+            const float m = float(data_a[ib].m);
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const vec2 v = vec2(vui & 0xF, vui >> 4) * d + m;
+
+            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q5_0)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xF;
+
+            const float d = float(data_a[ib].d);
+            const uint uint_qh = uint(data_a[ib].qh[1]) << 16 | data_a[ib].qh[0];
+            const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const vec2 v = (vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) - 16.0f) * d;
+
+            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q5_1)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a;
+
+            const uint ib = idx / 16;
+            const uint iqs = idx & 0xF;
+
+            const float d = float(data_a[ib].d);
+            const float m = float(data_a[ib].m);
+            const uint uint_qh = data_a[ib].qh;
+            const ivec2 qh = ivec2(((uint_qh >> iqs) << 4) & 0x10, (uint_qh >> (iqs + 12)) & 0x10);
+            const uint vui = uint(data_a[ib].qs[iqs]);
+            const vec2 v = vec2((vui & 0xF) | qh.x, (vui >> 4) | qh.y) * d + m;
+
+            buf_a[buf_idx     ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 16] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q8_0)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 16;
+            const uint iqs = (idx & 0xF) * 2;
+
+            const float d = float(data_a[ib].d);
+            const vec2 v = vec2(int(data_a[ib].qs[iqs]), int(data_a[ib].qs[iqs + 1])) * d;
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q2_K)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 128;                         // 2 values per idx
+            const uint iqs = idx % 128;                        // 0..127
+
+            const uint qsi = (iqs / 64) * 32 + (iqs % 16) * 2; // 0,2,4..30
+            const uint scalesi = iqs / 8;                      // 0..15
+            const uint qsshift = ((iqs % 64) / 16) * 2;        // 0,2,4,6
+
+            const uvec2 qs = uvec2(data_a[ib].qs[qsi], data_a[ib].qs[qsi + 1]);
+            const uint scales = data_a[ib].scales[scalesi];
+            const vec2 d = vec2(data_a[ib].d);
+
+            const vec2 v = d.x * float(scales & 0xF) * vec2((qs >> qsshift) & 3) - d.y * float(scales >> 4);
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(v.x);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(v.y);
+#elif defined(DATA_A_Q3_K)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 128;                   // 2 values per idx
+            const uint iqs = idx % 128;                  // 0..127
+
+            const uint n = iqs / 64;                     // 0,1
+            const uint qsi = n * 32 + (iqs % 16) * 2;    // 0,2,4..62
+            const uint hmi =          (iqs % 16) * 2;    // 0,2,4..30
+            const uint j = (iqs % 64) / 4;               // 0..3
+            const uint is = iqs / 8;                     // 0..15
+            const uint halfsplit = ((iqs % 64) / 16);    // 0,1,2,3
+            const uint qsshift = halfsplit * 2;          // 0,2,4,6
+            const uint m = 1 << (4 * n + halfsplit);     // 1,2,4,8,16,32,64,128
+
+            const int8_t us = int8_t(is <  4 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+8] >> 0) & 3) << 4) :
+                                    is <  8 ? (data_a[ib].scales[is-0] & 0xF) | (((data_a[ib].scales[is+4] >> 2) & 3) << 4) :
+                                    is < 12 ? (data_a[ib].scales[is-8] >>  4) | (((data_a[ib].scales[is+0] >> 4) & 3) << 4) :
+                                            (data_a[ib].scales[is-8] >>  4) | (((data_a[ib].scales[is-4] >> 6) & 3) << 4));
+            const float dl = float(data_a[ib].d) * float(us - 32);
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi    ] >> qsshift) & 3) - (((data_a[ib].hmask[hmi    ] & m) != 0) ? 0 : 4)));
+            buf_a[buf_idx + 1] = FLOAT_TYPE(dl * float(int8_t((data_a[ib].qs[qsi + 1] >> qsshift) & 3) - (((data_a[ib].hmask[hmi + 1] & m) != 0) ? 0 : 4)));
+#elif defined(DATA_A_Q4_K)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 128;                 // 2 values per idx
+            const uint iqs = idx % 128;                // 0..127
+
+            const uint n = iqs / 32;                   // 0,1,2,3
+            const uint b = (iqs % 32) / 16;            // 0,1
+            const uint is = 2 * n + b;                 // 0..7
+            const uint qsi = n * 32 + (iqs % 16) * 2;  // 0,2,4..126
+
+            const vec2 loadd = vec2(data_a[ib].d);
+
+            uint8_t sc;
+            uint8_t mbyte;
+            if (is < 4) {
+                sc    = uint8_t(data_a[ib].scales[is    ] & 63);
+                mbyte = uint8_t(data_a[ib].scales[is + 4] & 63);
+            } else {
+                sc    = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4));
+                mbyte = uint8_t((data_a[ib].scales[is + 4] >>  4) | ((data_a[ib].scales[is    ] >> 6) << 4));
+            }
+            const float d = loadd.x * sc;
+            const float m = loadd.y * mbyte;
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi    ] >> (b * 4)) & 0xF) - m);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(d * float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) - m);
+#elif defined(DATA_A_Q5_K)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 128;                 // 2 values per idx
+            const uint iqs = idx % 128;                // 0..127
+
+            const uint n = iqs / 32;                   // 0,1,2,3
+            const uint b = (iqs % 32) / 16;            // 0,1
+            const uint is = 2 * n + b;                 // 0..7
+            const uint qsi = n * 32 + (iqs % 16) * 2;  // 0,2,4..126
+            const uint qhi = (iqs % 16) * 2;           // 0,2,4..30
+
+            const uint8_t hm = uint8_t(1 << (iqs / 16));
+
+            const vec2 loadd = vec2(data_a[ib].d);
+
+            uint8_t sc;
+            uint8_t mbyte;
+            if (is < 4) {
+                sc    = uint8_t(data_a[ib].scales[is    ] & 63);
+                mbyte = uint8_t(data_a[ib].scales[is + 4] & 63);
+            } else {
+                sc    = uint8_t((data_a[ib].scales[is + 4] & 0xF) | ((data_a[ib].scales[is - 4] >> 6) << 4));
+                mbyte = uint8_t((data_a[ib].scales[is + 4] >>  4) | ((data_a[ib].scales[is    ] >> 6) << 4));
+            }
+            const float d = loadd.x * sc;
+            const float m = loadd.y * mbyte;
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi    ] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi    ] & hm) != 0 ? 16 : 0)) - m);
+            buf_a[buf_idx + 1] = FLOAT_TYPE(d * (float((data_a[ib].qs[qsi + 1] >> (b * 4)) & 0xF) + float((data_a[ib].qh[qhi + 1] & hm) != 0 ? 16 : 0)) - m);
+#elif defined(DATA_A_Q6_K)
+            const uint idx = pos_a + (loadc_a + l) * p.stride_a / LOAD_VEC_A + loadr_a;
+            const uint buf_idx = (loadc_a + l) * (BK+1) + loadr_a * LOAD_VEC_A;
+
+            const uint ib = idx / 128;                  // 2 values per idx
+            const uint iqs = idx % 128;                 // 0..127
+
+            const uint n = iqs / 64;                    // 0,1
+            const uint b = (iqs % 64) / 32;             // 0,1
+            const uint is_b = (iqs % 16) / 8;           // 0,1
+            const uint qhshift = ((iqs % 64) / 16) * 2; // 0,2,4,6
+            const uint is = 8 * n + qhshift + is_b;     // 0..15
+            const uint qsi = n * 64 + (iqs % 32) * 2;   // 0,2,4..126
+            const uint qhi = n * 32 + (iqs % 16) * 2;   // 0,2,4..62
+
+            const float dscale = float(data_a[ib].d) * float(data_a[ib].scales[is]);
+
+            buf_a[buf_idx    ] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi    ] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi    ] >> qhshift) & 3) << 4)) - 32));
+            buf_a[buf_idx + 1] = FLOAT_TYPE(dscale * float(int8_t(((data_a[ib].ql[qsi + 1] >> (b * 4)) & 0xF) | (((data_a[ib].qh[qhi + 1] >> qhshift) & 3) << 4)) - 32));
+#endif
+        }
+        [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
+#if LOAD_VEC_B == 8
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
+            const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
+            const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
+            buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x);
+            buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y);
+            buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx][0].z);
+            buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx][0].w);
+            buf_b[buf_idx + 4] = FLOAT_TYPE(data_b[idx][1].x);
+            buf_b[buf_idx + 5] = FLOAT_TYPE(data_b[idx][1].y);
+            buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z);
+            buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w);
+#elif LOAD_VEC_B == 4
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
+            const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
+            const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
+            buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x);
+            buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y);
+            buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z);
+            buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w);
+#elif !MUL_MAT_ID
+            if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) {
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]);
+            } else {
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
+            }
+#else
+            const uint row_i = ic * BN + loadc_b + l;
+            if (row_i < _ne1) {
+                const u16vec2 row_idx = row_ids[row_i];
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]);
+            } else {
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
+            }
+#endif
+        }
+
+        barrier();
+
+        pos_a += BK / LOAD_VEC_A;
+        pos_b += BK / LOAD_VEC_B;
+
+        for (uint i = 0; i < BK; i++) {
+            // Load from shared into cache
+            [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
+                [[unroll]] for (uint j = 0; j < TM; j++) {
+                    cache_a[wsir * TM + j] = buf_a[(warp_r * WM + wsir * WSUBM + tiwr * TM + j) * (BK+1) + i];
+                }
+            }
+            [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
+                [[unroll]] for (uint j = 0; j < TN; j++) {
+                    cache_b[wsic * TN + j] = buf_b[(warp_c * WN + wsic * WSUBN + tiwc * TN + j) * (BK+1) + i];
+                }
+            }
+
+            [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
+                [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
+                    [[unroll]] for (uint cc = 0; cc < TN; cc++) {
+                        [[unroll]] for (uint cr = 0; cr < TM; cr++) {
+                            sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr] += float(cache_a[wsir * TM + cr]) * float(cache_b[wsic * TN + cc]);
+                        }
+                    }
+                }
+            }
+        }
+
+        barrier();
+    }
+
+    const uint dr = ir * BM + warp_r * WM;
+    const uint dc = ic * BN + warp_c * WN;
+
+#ifndef MUL_MAT_ID
+    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
+#endif
+
+    [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
+        [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
+
+            const uint dr_warp = dr + wsir * WSUBM + tiwr * TM;
+            const uint dc_warp = dc + wsic * WSUBN + tiwc * TN;
+            [[unroll]] for (uint cc = 0; cc < TN; cc++) {
+#ifdef MUL_MAT_ID
+                const uint row_i = dc_warp + cc;
+                if (row_i >= _ne1) break;
+
+                const u16vec2 row_idx = row_ids[row_i];
+#endif
+                [[unroll]] for (uint cr = 0; cr < TM; cr++) {
+#ifdef MUL_MAT_ID
+                    data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
+#else
+                    if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
+                        data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
+                    }
+#endif
+                }
+            }
+        }
+    }
+}
diff --git a/vulkan-shaders/norm.comp b/vulkan-shaders/norm.comp
new file mode 100644
index 000000000..803dbdcb3
--- /dev/null
+++ b/vulkan-shaders/norm.comp
@@ -0,0 +1,44 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+#define BLOCK_SIZE 512
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+shared vec2 sum[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint tid = gl_LocalInvocationID.x;
+
+    sum[tid] = vec2(0.0f, 0.0f);
+
+    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+        const float xi = float(data_a[row*p.KX + col]);
+        sum[tid].x += xi;
+        sum[tid].y += xi * xi;
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            sum[tid] += sum[tid + s];
+        }
+        barrier();
+    }
+
+    const float mean = sum[0].x / p.KX;
+    const float var = sum[0].y / p.KX - mean * mean;
+    const float inv_std = inversesqrt(var + p.param1);
+
+    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+        data_d[row*p.KX + col] = D_TYPE((float(data_a[row*p.KX + col]) - mean) * inv_std);
+    }
+}
diff --git a/vulkan-shaders/relu.comp b/vulkan-shaders/relu.comp
new file mode 100644
index 000000000..7e5baa5b8
--- /dev/null
+++ b/vulkan-shaders/relu.comp
@@ -0,0 +1,21 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const uint i = gl_GlobalInvocationID.x;
+
+    if (i >= p.KX) {
+        return;
+    }
+
+    data_d[i] = max(float(data_a[i]), 0);
+}
diff --git a/vulkan-shaders/rms_norm.comp b/vulkan-shaders/rms_norm.comp
new file mode 100644
index 000000000..cfd08d345
--- /dev/null
+++ b/vulkan-shaders/rms_norm.comp
@@ -0,0 +1,42 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+#define BLOCK_SIZE 512
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+shared FLOAT_TYPE sum[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint tid = gl_LocalInvocationID.x;
+
+    sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp
+
+    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+        const FLOAT_TYPE xi = FLOAT_TYPE(data_a[row*p.KX + col]);
+        sum[tid] += xi * xi;
+    }
+
+    // sum up partial sums and write back result
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            sum[tid] += sum[tid + s];
+        }
+        barrier();
+    }
+
+    const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(p.KX);
+    const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1));
+
+    [[unroll]] for (uint col = tid; col < p.KX; col += BLOCK_SIZE) {
+        data_d[row*p.KX + col] = D_TYPE(scale * FLOAT_TYPE(data_a[row*p.KX + col]));
+    }
+}
diff --git a/vulkan-shaders/rope_head.comp b/vulkan-shaders/rope_head.comp
new file mode 100644
index 000000000..ea8954226
--- /dev/null
+++ b/vulkan-shaders/rope_head.comp
@@ -0,0 +1,44 @@
+#include "types.comp"
+
+#extension GL_EXT_shader_16bit_storage : require
+
+layout(local_size_x = 1, local_size_y = 256, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer Y {int data_pos[];};
+layout (binding = 2) readonly buffer Z {float data_ff[];};
+layout (binding = 3) writeonly buffer D {D_TYPE data_d[];};
+
+layout (push_constant) uniform parameter {
+    uint ncols;
+    uint n_dims;
+    float freq_scale;
+    uint p_delta_rows;
+    float freq_base;
+    float ext_factor;
+    float attn_factor;
+    float corr_dims[2];
+    float theta_scale;
+    uint has_ff;
+} p;
+
+float rope_yarn_ramp(const float low, const float high, const uint i0) {
+    const float y = (i0 / 2 - low) / max(0.001f, high - low);
+    return 1.0f - min(1.0f, max(0.0f, y));
+}
+
+void rope_yarn(const float theta_extrap, const uint i0, out float cos_theta, out float sin_theta) {
+    float mscale = p.attn_factor;
+    // Get n-d rotational scaling corrected for extrapolation
+    float theta_interp = p.freq_scale * theta_extrap;
+    float theta = theta_interp;
+    if (p.ext_factor != 0.0f) {
+        float ramp_mix = rope_yarn_ramp(p.corr_dims[0], p.corr_dims[1], i0) * p.ext_factor;
+        theta = theta_interp * (1 - ramp_mix) + theta_extrap * ramp_mix;
+
+        // Get n-d magnitude scaling corrected for interpolation
+        mscale *= 1.0f + 0.1f * log(1.0f / p.freq_scale);
+    }
+    cos_theta = cos(theta) * mscale;
+    sin_theta = sin(theta) * mscale;
+}
diff --git a/vulkan-shaders/rope_neox.comp b/vulkan-shaders/rope_neox.comp
new file mode 100644
index 000000000..83b46b69b
--- /dev/null
+++ b/vulkan-shaders/rope_neox.comp
@@ -0,0 +1,37 @@
+#version 450
+
+#include "rope_head.comp"
+
+void main() {
+    const uint col = gl_GlobalInvocationID.y * 2;
+    const uint row = gl_GlobalInvocationID.x;
+
+    if (col >= p.ncols) {
+        return;
+    }
+
+    if (col >= p.n_dims) {
+        const uint i = row*p.ncols + col;
+
+        data_d[i + 0] = data_a[i + 0];
+        data_d[i + 1] = data_a[i + 1];
+
+        return;
+    }
+
+    const uint i  = row*p.ncols + col/2;
+    const uint i2 = row/p.p_delta_rows;
+
+    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
+
+    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
+
+    float cos_theta, sin_theta;
+    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
+
+    const float x0 = float(data_a[i + 0]);
+    const float x1 = float(data_a[i + p.n_dims/2]);
+
+    data_d[i + 0]        = D_TYPE(x0*cos_theta - x1*sin_theta);
+    data_d[i + p.n_dims/2] = D_TYPE(x0*sin_theta + x1*cos_theta);
+}
diff --git a/vulkan-shaders/rope_norm.comp b/vulkan-shaders/rope_norm.comp
new file mode 100644
index 000000000..e416ad938
--- /dev/null
+++ b/vulkan-shaders/rope_norm.comp
@@ -0,0 +1,37 @@
+#version 450
+
+#include "rope_head.comp"
+
+void main() {
+    const uint col = gl_GlobalInvocationID.y * 2;
+    const uint row = gl_GlobalInvocationID.x;
+
+    if (col >= p.ncols) {
+        return;
+    }
+
+    if (col >= p.n_dims) {
+        const uint i = row*p.ncols + col;
+
+        data_d[i + 0] = data_a[i + 0];
+        data_d[i + 1] = data_a[i + 1];
+
+        return;
+    }
+
+    const uint i = row*p.ncols + col;
+    const uint i2 = row/p.p_delta_rows;
+
+    const float theta_base = data_pos[i2] * pow(p.theta_scale, col/2.0f);
+
+    const float freq_factor = p.has_ff != 0 ? data_ff[col/2] : 1.0f;
+
+    float cos_theta, sin_theta;
+    rope_yarn(theta_base / freq_factor, col, cos_theta, sin_theta);
+
+    const float x0 = float(data_a[i + 0]);
+    const float x1 = float(data_a[i + 1]);
+
+    data_d[i + 0] = D_TYPE(x0*cos_theta - x1*sin_theta);
+    data_d[i + 1] = D_TYPE(x0*sin_theta + x1*cos_theta);
+}
diff --git a/vulkan-shaders/scale.comp b/vulkan-shaders/scale.comp
new file mode 100644
index 000000000..510cb7237
--- /dev/null
+++ b/vulkan-shaders/scale.comp
@@ -0,0 +1,12 @@
+#version 450
+
+#include "types.comp"
+#include "generic_unary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(p.param1));
+}
diff --git a/vulkan-shaders/silu.comp b/vulkan-shaders/silu.comp
new file mode 100644
index 000000000..15920f06e
--- /dev/null
+++ b/vulkan-shaders/silu.comp
@@ -0,0 +1,22 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+
+layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+    const uint i = gl_GlobalInvocationID.x;
+
+    if (i >= p.KX) {
+        return;
+    }
+
+    const float xi = float(data_a[i]);
+    data_d[i] = D_TYPE(xi / (1.0f + exp(-xi)));
+}
diff --git a/vulkan-shaders/soft_max.comp b/vulkan-shaders/soft_max.comp
new file mode 100644
index 000000000..1b8419c7c
--- /dev/null
+++ b/vulkan-shaders/soft_max.comp
@@ -0,0 +1,106 @@
+#version 450
+
+#extension GL_EXT_shader_16bit_storage : require
+
+layout (push_constant) uniform parameter
+{
+    uint KX;
+    uint KY;
+    float scale;
+    float max_bias;
+    float m0;
+    float m1;
+    uint n_head_log2;
+} p;
+
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+#define BLOCK_SIZE 512
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
+layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
+layout (binding = 2) buffer D {D_TYPE data_d[];};
+
+shared FLOAT_TYPE vals[BLOCK_SIZE];
+
+void main() {
+    const uint tid = gl_LocalInvocationID.x;
+    const uint rowx = gl_WorkGroupID.x;
+    const uint rowy = rowx % p.KY;
+
+    float slope = 1.0f;
+
+    // ALiBi
+    if (p.max_bias > 0.0f) {
+        const uint h = rowx/p.KY; // head index
+
+        const float base = h < p.n_head_log2 ? p.m0 : p.m1;
+        const uint   exp  = h < p.n_head_log2 ? h + 1 : 2*(h - p.n_head_log2) + 1;
+
+        slope = pow(base, exp);
+    }
+
+    // Find max
+    FLOAT_TYPE max_val = uintBitsToFloat(0xFF800000);
+
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
+        max_val = max(max_val, FLOAT_TYPE(data_a[rowx * p.KX + col]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)));
+    }
+    vals[tid] = max_val;
+
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            vals[tid] = max(vals[tid], vals[tid + s]);
+        }
+        barrier();
+    }
+
+    max_val = vals[0];
+    barrier();
+
+    // Sum up values
+    vals[tid] = FLOAT_TYPE(0.0f);
+
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
+        const uint i = rowx * p.KX + col;
+        const FLOAT_TYPE val = exp(FLOAT_TYPE(data_a[i]) * p.scale + (p.KY > 0 ? slope * FLOAT_TYPE(data_b[rowy * p.KX + col]) : FLOAT_TYPE(0.0f)) - max_val);
+        vals[tid] += val;
+        data_d[i] = D_TYPE(val);
+    }
+
+    barrier();
+    [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) {
+        if (tid < s) {
+            vals[tid] += vals[tid + s];
+        }
+        barrier();
+    }
+
+    const D_TYPE divisor = D_TYPE(vals[0]);
+
+    [[unroll]] for (uint col0 = 0; col0 < p.KX; col0 += BLOCK_SIZE) {
+        const uint col = col0 + tid;
+
+        if (col >= p.KX) {
+            break;
+        }
+
+        data_d[rowx*p.KX + col] /= divisor;
+    }
+}
diff --git a/vulkan-shaders/square.comp b/vulkan-shaders/square.comp
new file mode 100644
index 000000000..8dd19333d
--- /dev/null
+++ b/vulkan-shaders/square.comp
@@ -0,0 +1,13 @@
+#version 450
+
+#include "types.comp"
+#include "generic_unary_head.comp"
+
+void main() {
+    if (gl_GlobalInvocationID.x >= p.ne) {
+        return;
+    }
+
+    const FLOAT_TYPE val = FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]);
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(val * val);
+}
diff --git a/vulkan-shaders/sum_rows.comp b/vulkan-shaders/sum_rows.comp
new file mode 100644
index 000000000..ce2f1e2f3
--- /dev/null
+++ b/vulkan-shaders/sum_rows.comp
@@ -0,0 +1,37 @@
+#version 450
+
+#include "generic_head.comp"
+#include "types.comp"
+
+#extension GL_EXT_control_flow_attributes : enable
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint col = gl_LocalInvocationID.x;
+
+    tmp[col] = FLOAT_TYPE(0.0f);
+
+    for (uint i = col; i < p.KX; i += BLOCK_SIZE) {
+        tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]);
+    }
+
+    barrier();
+    [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) {
+        if (col < s) {
+            tmp[col] += tmp[col + s];
+        }
+        barrier();
+    }
+
+    if (col == 0) {
+        data_d[row] = D_TYPE(tmp[0]);
+    }
+}
diff --git a/vulkan-shaders/types.comp b/vulkan-shaders/types.comp
new file mode 100644
index 000000000..815fcbecd
--- /dev/null
+++ b/vulkan-shaders/types.comp
@@ -0,0 +1,179 @@
+#if !defined(DATA_A_F32) && !defined(DATA_A_F16)
+#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
+#endif
+
+#if defined(DATA_A_F32)
+#define QUANT_K 1
+#define QUANT_R 1
+
+#ifndef LOAD_VEC_A
+#define A_TYPE float
+#elif LOAD_VEC_A == 4
+#define A_TYPE vec4
+#elif LOAD_VEC_A == 8
+#define A_TYPE mat2x4
+#endif
+#endif
+
+#if defined(DATA_A_F16)
+#define QUANT_K 1
+#define QUANT_R 1
+
+#ifndef LOAD_VEC_A
+#define A_TYPE float16_t
+#elif LOAD_VEC_A == 4
+#define A_TYPE f16vec4
+#elif LOAD_VEC_A == 8
+#define A_TYPE f16mat2x4
+#endif
+#endif
+
+#if defined(DATA_A_Q4_0)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 32
+#define QUANT_R 2
+
+struct block_q4_0
+{
+    float16_t d;
+    uint8_t qs[16];
+};
+
+#define A_TYPE block_q4_0
+#endif
+
+#if defined(DATA_A_Q4_1)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 32
+#define QUANT_R 2
+
+struct block_q4_1
+{
+    float16_t d;
+    float16_t m;
+    uint8_t qs[16];
+};
+
+#define A_TYPE block_q4_1
+#endif
+
+#if defined(DATA_A_Q5_0)
+#extension GL_EXT_shader_16bit_storage : require
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
+#define QUANT_K 32
+#define QUANT_R 2
+
+struct block_q5_0
+{
+    float16_t d;
+    uint16_t qh[2];
+    uint8_t qs[16];
+};
+
+#define A_TYPE block_q5_0
+#endif
+
+#if defined(DATA_A_Q5_1)
+#extension GL_EXT_shader_16bit_storage : require
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
+#define QUANT_K 32
+#define QUANT_R 2
+
+struct block_q5_1
+{
+    float16_t d;
+    float16_t m;
+    uint qh;
+    uint8_t qs[16];
+};
+
+#define A_TYPE block_q5_1
+#endif
+
+#if defined(DATA_A_Q8_0)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 32
+#define QUANT_R 1
+
+struct block_q8_0
+{
+    float16_t d;
+    int8_t qs[32];
+};
+
+#define A_TYPE block_q8_0
+#endif
+
+// K-quants
+#if defined(DATA_A_Q2_K)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 256
+
+struct block_q2_K
+{
+    uint8_t scales[QUANT_K/16];
+    uint8_t qs[QUANT_K/4];
+    f16vec2 d;
+};
+
+#define A_TYPE block_q2_K
+#endif
+
+#if defined(DATA_A_Q3_K)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 256
+
+struct block_q3_K
+{
+    uint8_t hmask[QUANT_K/8];
+    uint8_t qs[QUANT_K/4];
+    uint8_t scales[12];
+    float16_t d;
+};
+
+#define A_TYPE block_q3_K
+#endif
+
+#if defined(DATA_A_Q4_K)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 256
+
+struct block_q4_K
+{
+    f16vec2 d;
+    uint8_t scales[3*QUANT_K/64];
+    uint8_t qs[QUANT_K/2];
+};
+
+#define A_TYPE block_q4_K
+#endif
+
+#if defined(DATA_A_Q5_K)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 256
+
+struct block_q5_K
+{
+    f16vec2 d;
+    uint8_t scales[12];
+    uint8_t qh[QUANT_K/8];
+    uint8_t qs[QUANT_K/2];
+};
+
+#define A_TYPE block_q5_K
+#endif
+
+#if defined(DATA_A_Q6_K)
+#extension GL_EXT_shader_16bit_storage : require
+#define QUANT_K 256
+
+struct block_q6_K
+{
+    uint8_t ql[QUANT_K/2];
+    uint8_t qh[QUANT_K/4];
+    int8_t scales[QUANT_K/16];
+    float16_t d;
+};
+
+#define A_TYPE block_q6_K
+#endif

From c8a82194a888f68f259e0d0fa96f3332ac7c5cb6 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Sun, 16 Jun 2024 10:46:51 +0300
Subject: [PATCH 077/131] github : update pr template

---
 .github/pull_request_template.md | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index e6d032d87..997c6d9d0 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -1,5 +1,7 @@
-- Self Reported Review Complexity:
-    - [ ] Review Complexity : Low
-    - [ ] Review Complexity : Medium
-    - [ ] Review Complexity : High
-- [ ] I have read the [contributing guidelines](https://github.com/ggerganov/llama.cpp/blob/master/CONTRIBUTING.md)
+
+
+- [x] I have read the [contributing guidelines](https://github.com/ggerganov/llama.cpp/blob/master/CONTRIBUTING.md)
+- Self-reported review complexity:
+  - [ ] Low
+  - [ ] Medium
+  - [ ] High

From cddaf028adc738b5a7ecc60809cb78e0ba0f97c1 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Sun, 16 Jun 2024 14:50:12 +0300
Subject: [PATCH 078/131] ggml : fix handling of zero blocks in IQ quants
 (#7955)

ggml-ci
---
 ggml-quants.c | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/ggml-quants.c b/ggml-quants.c
index 9f864e5c4..84b2f30e5 100644
--- a/ggml-quants.c
+++ b/ggml-quants.c
@@ -13139,7 +13139,7 @@ static int iq1_find_best_neighbour(const uint16_t * restrict neighbours, const u
         const float * restrict xval, const float * restrict weight, float * scale, int8_t * restrict L, int ngrid) {
     int num_neighbors = neighbours[0];
     GGML_ASSERT(num_neighbors > 0);
-    float best_score = 0;
+    float best_score = -FLT_MAX;
     int grid_index = -1;
     for (int j = 1; j <= num_neighbors; ++j) {
         const int8_t * pg = (const int8_t *)(grid + neighbours[j]);
@@ -13337,7 +13337,7 @@ static void quantize_row_iq1_s_impl(const float * restrict x, void * restrict vy
                     sumw[j+1] = sumw[j] + weight[i];
                 }
             }
-            float best_score = 0, scale = max;
+            float best_score = -FLT_MIN, scale = max;
             int besti1 = -1, besti2 = -1, best_shift = 0;
             for (int i1 = 0; i1 <= block_size; ++i1) {
                 for (int i2 = i1; i2 <= block_size; ++i2) {
@@ -13513,7 +13513,7 @@ static void quantize_row_iq1_m_impl(const float * restrict x, void * restrict vy
                 idx[2*j] = j;
             }
             qsort(pairs, block_size, 2*sizeof(float), iq1_sort_helper);
-            float best_score = 0, scale = max;
+            float best_score = -FLT_MIN, scale = max;
             int besti1 = -1, besti2 = -1, best_k = -1;
             // 0: +, +
             // 1: +, -

From 6fe1c627413725ddc1f9e323f6b13fe388c53e0a Mon Sep 17 00:00:00 2001
From: hopkins385 <98618192+hopkins385@users.noreply.github.com>
Date: Sun, 16 Jun 2024 13:51:18 +0200
Subject: [PATCH 079/131] readme : update UI list [no ci] (#7958)

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 6c24135d6..fd75a64ba 100644
--- a/README.md
+++ b/README.md
@@ -195,6 +195,7 @@ Unless otherwise noted these projects are open-source with permissive licensing:
 - [cztomsik/ava](https://github.com/cztomsik/ava) (MIT)
 - [ptsochantaris/emeltal](https://github.com/ptsochantaris/emeltal)
 - [pythops/tenere](https://github.com/pythops/tenere) (AGPL)
+- [RAGNA Desktop](https://ragna.app/) (proprietary)
 - [RecurseChat](https://recurse.chat/) (proprietary)
 - [semperai/amica](https://github.com/semperai/amica)
 - [withcatai/catai](https://github.com/withcatai/catai)

From 52399254b3bceda279b4ea9111a983e32310166e Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Sun, 16 Jun 2024 14:51:40 +0300
Subject: [PATCH 080/131] unicode : avoid char32_t (#7957)

ggml-ci
---
 llama.cpp   |  2 +-
 unicode.cpp | 22 +++++++++++-----------
 unicode.h   |  2 +-
 3 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index 3bf9b6685..bd4f8ec18 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -13246,7 +13246,7 @@ struct llm_tokenizer_wpm {
         const std::vector<uint32_t> cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text));
         std::vector<std::string> words(1, "");
 
-        for (const char32_t cpt : cpts_nfd) {
+        for (const uint32_t cpt : cpts_nfd) {
             const auto flags = unicode_cpt_flags(cpt);
 
             if (flags.is_whitespace) {
diff --git a/unicode.cpp b/unicode.cpp
index 056a4c741..2f8d73832 100644
--- a/unicode.cpp
+++ b/unicode.cpp
@@ -226,7 +226,7 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
         assert(offset_end <= cpts.size());
         start = offset_end;
 
-        auto _get_cpt = [&] (const size_t pos) -> char32_t {
+        auto _get_cpt = [&] (const size_t pos) -> uint32_t {
             return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
         };
 
@@ -253,18 +253,18 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
         };
 
         for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
-            const char32_t cpt = _get_cpt(pos);
+            const uint32_t cpt = _get_cpt(pos);
             const auto flags = _get_flags(pos);
 
             // regex: 's|'t|'re|'ve|'m|'ll|'d
             if (cpt == '\'' && pos+1 < offset_end) {
-                char32_t cpt_next = _get_cpt(pos+1);
+                uint32_t cpt_next = _get_cpt(pos+1);
                 if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
                     pos += _add_token(pos+2);
                     continue;
                 }
                 if (pos+2 < offset_end) {
-                    char32_t cpt_next_next = _get_cpt(pos+2);
+                    uint32_t cpt_next_next = _get_cpt(pos+2);
                     if ((cpt_next == 'r' && cpt_next_next == 'e') ||
                         (cpt_next == 'v' && cpt_next_next == 'e') ||
                         (cpt_next == 'l' && cpt_next_next == 'l')) {
@@ -344,7 +344,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
         assert(offset_end <= cpts.size());
         start = offset_end;
 
-        auto _get_cpt = [&] (const size_t pos) -> char32_t {
+        auto _get_cpt = [&] (const size_t pos) -> uint32_t {
             return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
         };
 
@@ -371,18 +371,18 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
         };
 
         for (size_t pos = offset_ini; pos < offset_end; /*pos++*/ ) {
-            const char32_t cpt = _get_cpt(pos);
+            const uint32_t cpt = _get_cpt(pos);
             const auto flags = _get_flags(pos);
 
             // regex: (?i:'s|'t|'re|'ve|'m|'ll|'d) // case insensitive
             if (cpt == '\'' && pos+1 < offset_end) {
-                char32_t cpt_next = unicode_tolower(_get_cpt(pos+1));
+                uint32_t cpt_next = unicode_tolower(_get_cpt(pos+1));
                 if (cpt_next == 's' || cpt_next == 't' || cpt_next == 'm' || cpt_next == 'd') {
                     pos += _add_token(pos+2);
                     continue;
                 }
                 if (pos+2 < offset_end) {
-                    char32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2));
+                    uint32_t cpt_next_next = unicode_tolower(_get_cpt(pos+2));
                     if ((cpt_next == 'r' && cpt_next_next == 'e') ||
                         (cpt_next == 'v' && cpt_next_next == 'e') ||
                         (cpt_next == 'l' && cpt_next_next == 'l')) {
@@ -424,7 +424,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
                 while (!(flags2.is_whitespace || flags2.is_letter || flags2.is_number || flags2.is_undefined)) {
                     flags2 = _get_flags(++pos);
                 }
-                char32_t cpt2 = _get_cpt(pos);
+                uint32_t cpt2 = _get_cpt(pos);
                 while (cpt2 == '\r' || cpt2 == '\n') {
                     cpt2 = _get_cpt(++pos);
                 }
@@ -435,7 +435,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             size_t num_whitespaces = 0;
             size_t last_end_r_or_n = 0;
             while (_get_flags(pos+num_whitespaces).is_whitespace) {
-                char32_t cpt2 = _get_cpt(pos+num_whitespaces);
+                uint32_t cpt2 = _get_cpt(pos+num_whitespaces);
                 if (cpt2 == '\r' || cpt2 == '\n') {
                     last_end_r_or_n = pos + num_whitespaces + 1;
                 }
@@ -626,7 +626,7 @@ uint8_t unicode_utf8_to_byte(const std::string & utf8) {
     return map.at(utf8);
 }
 
-char32_t unicode_tolower(char32_t cp) {
+uint32_t unicode_tolower(uint32_t cp) {
     auto it = unicode_map_lowercase.find(cp);
     return it == unicode_map_lowercase.end() ? cp : it->second;
 }
diff --git a/unicode.h b/unicode.h
index 7513be4ad..6c488970a 100644
--- a/unicode.h
+++ b/unicode.h
@@ -58,6 +58,6 @@ codepoint_flags unicode_cpt_flags(const std::string & utf8);
 std::string unicode_byte_to_utf8(uint8_t byte);
 uint8_t unicode_utf8_to_byte(const std::string & utf8);
 
-char32_t unicode_tolower(char32_t cp);
+uint32_t unicode_tolower(uint32_t cp);
 
 std::vector<std::string> unicode_regex_split(const std::string & text, const std::vector<std::string> & regex_exprs);

From bc6c457fa35f6791e9a2bb61108e7d49e8fc98bd Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Sun, 16 Jun 2024 19:16:21 +0300
Subject: [PATCH 081/131] flake.lock: Update (#7951)

---
 flake.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/flake.lock b/flake.lock
index 7272e65fa..5278fb68a 100644
--- a/flake.lock
+++ b/flake.lock
@@ -20,11 +20,11 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1717786204,
-        "narHash": "sha256-4q0s6m0GUcN7q+Y2DqD27iLvbcd1G50T2lv08kKxkSI=",
+        "lastModified": 1718318537,
+        "narHash": "sha256-4Zu0RYRcAY/VWuu6awwq4opuiD//ahpc2aFHg2CWqFY=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "051f920625ab5aabe37c920346e3e69d7d34400e",
+        "rev": "e9ee548d90ff586a6471b4ae80ae9cfcbceb3420",
         "type": "github"
       },
       "original": {

From 398105ff4373eea385ea8e8625cb417b2ae51134 Mon Sep 17 00:00:00 2001
From: Daniel Bevenius <daniel.bevenius@gmail.com>
Date: Sun, 16 Jun 2024 10:51:18 +0200
Subject: [PATCH 082/131] ggml : remove duplicate include of ggml-common.h
 (ggml/853)

Signed-off-by: Daniel Bevenius <daniel.bevenius@gmail.com>
---
 ggml-quants.c | 2 --
 1 file changed, 2 deletions(-)

diff --git a/ggml-quants.c b/ggml-quants.c
index 84b2f30e5..678adae16 100644
--- a/ggml-quants.c
+++ b/ggml-quants.c
@@ -4,8 +4,6 @@
 #include "ggml-quants.h"
 #include "ggml-impl.h"
 
-#define GGML_COMMON_IMPL_C
-#include "ggml-common.h"
 
 #include <math.h>
 #include <string.h>

From b5fcf8ef5c29df53cfff60e180b4992a3b2332a6 Mon Sep 17 00:00:00 2001
From: Hong Bo PENG <penghb@cn.ibm.com>
Date: Sun, 16 Jun 2024 16:53:11 +0800
Subject: [PATCH 083/131] ggml : fix and optimize ppc64le (ggml/849)

* fix compile issues introduced by loongarch_asx

* restore quant changes to merge

* fix compile issues introduced by loongarch_asx

* further optimize by using vec_msum & vec_sum4s on ppc64le
---
 ggml-quants.c | 639 ++++++++++++++++++++++----------------------------
 1 file changed, 279 insertions(+), 360 deletions(-)

diff --git a/ggml-quants.c b/ggml-quants.c
index 678adae16..0b346c11e 100644
--- a/ggml-quants.c
+++ b/ggml-quants.c
@@ -1076,6 +1076,7 @@ void quantize_row_q8_0(const float * restrict x, void * restrict vy, int64_t k)
         }
         vec_xst(vec_pack(vec_pack(vi[0], vi[1]), vec_pack(vi[2], vi[3])),  0, &y[i].qs[0]);
         vec_xst(vec_pack(vec_pack(vi[4], vi[5]), vec_pack(vi[6], vi[7])), 16, &y[i].qs[0]);
+    }
 
 #elif defined(__loongarch_asx)
     for (int i = 0; i < nb; i++) {
@@ -1435,6 +1436,7 @@ void quantize_row_q8_1(const float * restrict x, void * restrict vy, int64_t k)
         accv = vec_add(accv, vec_sld(accv, accv, 4));
         accv = vec_add(accv, vec_sld(accv, accv, 8));
         y[i].s = GGML_FP32_TO_FP16(d * vec_extract(accv, 0));
+    }
 
 #elif defined(__loongarch_asx)
     for (int i = 0; i < nb; i++) {
@@ -4111,12 +4113,13 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed int v0 = vec_splats((int32_t)0);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
     const vector signed char v8 = vec_splats((signed char)0x8);
 
     vector float vsumf0 = vec_splats(0.0f);
 
-#pragma GCC unroll 4
+#pragma GCC unroll 8
     for (int i = 0; i < nb; i++) {
         __builtin_prefetch(x[i].qs, 0, 1);
         __builtin_prefetch(y[i].qs, 0, 1);
@@ -4138,9 +4141,10 @@ void ggml_vec_dot_q4_0_q8_0(int n, float * restrict s, size_t bs, const void * r
         vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
         vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
 
-        qv0 = vec_add(qv0, qv1);
+        vector signed int vsumi0 = v0;
 
-        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+        vsumi0 = vec_sum4s(qv0, vsumi0);
+        vsumi0 = vec_sum4s(qv1, vsumi0);
 
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
     }
@@ -4514,6 +4518,7 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed int v0 = vec_splats((int32_t)0);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
     vector float vsumf0 = vec_splats(0.0f);
@@ -4535,15 +4540,13 @@ void ggml_vec_dot_q4_1_q8_1(int n, float * restrict s, size_t bs, const void * r
         vector signed char q8y0 = vec_xl( 0, y[i].qs);
         vector signed char q8y1 = vec_xl(16, y[i].qs);
 
-        vector signed char q4x0 = vec_and(qxs, lowMask);
-        vector signed char q4x1 = vec_sr(qxs, v4);
+        vector unsigned char q4x0 = (vector unsigned char)vec_and(qxs, lowMask);
+        vector unsigned char q4x1 = (vector unsigned char)vec_sr(qxs, v4);
 
-        vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
-        vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
+        vector signed int vsumi0 = v0;
 
-        qv0 = vec_add(qv0, qv1);
-
-        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+        vsumi0 = vec_msum(q8y0, q4x0, vsumi0);
+        vsumi0 = vec_msum(q8y1, q4x1, vsumi0);
 
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
     }
@@ -5245,6 +5248,7 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed int v0 = vec_splats((int32_t)0);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
     vector float vsumf0 = vec_splats(0.0f);
@@ -5270,18 +5274,16 @@ void ggml_vec_dot_q5_1_q8_1(int n, float * restrict s, size_t bs, const void * r
 
         vector signed char qxs = (vector signed char)vec_xl( 0, x[i].qs);
 
-        vector signed char q5x0 = vec_or(vec_and(qxs, lowMask), qh0);
-        vector signed char q5x1 = vec_or(vec_sr(qxs, v4), qh1);
+        vector unsigned char q5x0 = (vector unsigned char)vec_or(vec_and(qxs, lowMask), qh0);
+        vector unsigned char q5x1 = (vector unsigned char)vec_or(vec_sr(qxs, v4), qh1);
 
         vector signed char q8y0 = vec_xl(  0, y[i].qs);
         vector signed char q8y1 = vec_xl( 16, y[i].qs);
 
-        vector signed short qv0 = vec_add(vec_mule(q5x0, q8y0), vec_mulo(q5x0, q8y0));
-        vector signed short qv1 = vec_add(vec_mule(q5x1, q8y1), vec_mulo(q5x1, q8y1));
+        vector signed int vsumi0 = v0;
 
-        qv0 = vec_add(qv0, qv1);
-
-        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
+        vsumi0 = vec_msum(q8y0, q5x0, vsumi0);
+        vsumi0 = vec_msum(q8y1, q5x1, vsumi0);
 
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
     }
@@ -5521,9 +5523,10 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
     *s = sumf;
 
 #elif defined(__POWER9_VECTOR__)
+    const vector signed int v0 = vec_splats((int32_t)0);
     vector float vsumf0 = vec_splats(0.0f);
 
-#pragma GCC unroll 4
+#pragma GCC unroll 8
     for (int i = 0; i < nb; i++) {
         __builtin_prefetch(x[i].qs, 0, 1);
         __builtin_prefetch(y[i].qs, 0, 1);
@@ -5542,13 +5545,13 @@ void ggml_vec_dot_q8_0_q8_0(int n, float * restrict s, size_t bs, const void * r
         vector signed short qv2 = vec_mule(q8x1, q8y1);
         vector signed short qv3 = vec_mulo(q8x1, q8y1);
 
-        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackh(qv1));
-        vector signed int vsumi1 = vec_add(vec_unpackl(qv0), vec_unpackl(qv1));
-        vector signed int vsumi2 = vec_add(vec_unpackh(qv2), vec_unpackh(qv3));
-        vector signed int vsumi3 = vec_add(vec_unpackl(qv2), vec_unpackl(qv3));
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
 
-        vsumi0 = vec_add(vsumi0, vsumi2);
-        vsumi1 = vec_add(vsumi1, vsumi3);
+        vsumi0 = vec_sum4s(qv0, vsumi0);
+        vsumi1 = vec_sum4s(qv1, vsumi1);
+        vsumi0 = vec_sum4s(qv2, vsumi0);
+        vsumi1 = vec_sum4s(qv3, vsumi1);
 
         vsumi0 = vec_add(vsumi0, vsumi1);
 
@@ -5936,6 +5939,7 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0x3);
     const vector signed char lowScaleMask = vec_splats((signed char)0xF);
+    const vector int v0 = vec_splats((int32_t)0);
     const vector unsigned char v2 = vec_splats((unsigned char)0x2);
     const vector unsigned char v6 = vec_splats((unsigned char)0x6);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
@@ -5973,15 +5977,17 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2);
         vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
+        vector signed int vsumi4 = v0;
+        vector signed int vsumi5 = v0;
+        vector signed int vsumi6 = v0;
+        vector signed int vsumi7 = v0;
 
+        const uint8_t * restrict q2 = x[i].qs;
+        const int8_t  * restrict q8 = y[i].qs;
 
         for (int j = 0; j < QK_K/128; ++j) {
             __builtin_prefetch(q2, 0, 1);
@@ -5991,14 +5997,14 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed char qxs1 = (vector signed char)vec_xl(16, q2);
             q2 += 32;
 
-            vector signed char q2x00 = vec_and(qxs0, lowMask);
-            vector signed char q2x01 = vec_and(vec_sr(qxs0, v2), lowMask);
-            vector signed char q2x02 = vec_and(vec_sr(qxs0, v4), lowMask);
-            vector signed char q2x03 = vec_and(vec_sr(qxs0, v6), lowMask);
-            vector signed char q2x10 = vec_and(qxs1, lowMask);
-            vector signed char q2x11 = vec_and(vec_sr(qxs1, v2), lowMask);
-            vector signed char q2x12 = vec_and(vec_sr(qxs1, v4), lowMask);
-            vector signed char q2x13 = vec_and(vec_sr(qxs1, v6), lowMask);
+            vector unsigned char q2x00 = (vector unsigned char)vec_and(qxs0, lowMask);
+            vector unsigned char q2x01 = (vector unsigned char)vec_and(vec_sr(qxs0, v2), lowMask);
+            vector unsigned char q2x02 = (vector unsigned char)vec_and(vec_sr(qxs0, v4), lowMask);
+            vector unsigned char q2x03 = (vector unsigned char)vec_and(vec_sr(qxs0, v6), lowMask);
+            vector unsigned char q2x10 = (vector unsigned char)vec_and(qxs1, lowMask);
+            vector unsigned char q2x11 = (vector unsigned char)vec_and(vec_sr(qxs1, v2), lowMask);
+            vector unsigned char q2x12 = (vector unsigned char)vec_and(vec_sr(qxs1, v4), lowMask);
+            vector unsigned char q2x13 = (vector unsigned char)vec_and(vec_sr(qxs1, v6), lowMask);
 
             vector signed char q8y00 = vec_xl(  0, q8);
             vector signed char q8y10 = vec_xl( 16, q8);
@@ -6010,45 +6016,36 @@ void ggml_vec_dot_q2_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed char q8y13 = vec_xl(112, q8);
             q8 += 128;
 
-            vector signed short qv0 = vec_add(vec_mule(q2x00, q8y00), vec_mulo(q2x00, q8y00));
-            vector signed short qv1 = vec_add(vec_mule(q2x01, q8y01), vec_mulo(q2x01, q8y01));
-            vector signed short qv2 = vec_add(vec_mule(q2x02, q8y02), vec_mulo(q2x02, q8y02));
-            vector signed short qv3 = vec_add(vec_mule(q2x03, q8y03), vec_mulo(q2x03, q8y03));
-            vector signed short qv4 = vec_add(vec_mule(q2x10, q8y10), vec_mulo(q2x10, q8y10));
-            vector signed short qv5 = vec_add(vec_mule(q2x11, q8y11), vec_mulo(q2x11, q8y11));
-            vector signed short qv6 = vec_add(vec_mule(q2x12, q8y12), vec_mulo(q2x12, q8y12));
-            vector signed short qv7 = vec_add(vec_mule(q2x13, q8y13), vec_mulo(q2x13, q8y13));
+            vector signed int qv0 = vec_msum(q8y00, q2x00, v0);
+            vector signed int qv1 = vec_msum(q8y01, q2x01, v0);
+            vector signed int qv2 = vec_msum(q8y02, q2x02, v0);
+            vector signed int qv3 = vec_msum(q8y03, q2x03, v0);
+            vector signed int qv4 = vec_msum(q8y10, q2x10, v0);
+            vector signed int qv5 = vec_msum(q8y11, q2x11, v0);
+            vector signed int qv6 = vec_msum(q8y12, q2x12, v0);
+            vector signed int qv7 = vec_msum(q8y13, q2x13, v0);
 
-            vector signed short vscales_h = vec_unpackh(vscales);
-            vector signed short vs0 = vec_splat(vscales_h, 0);
-            vector signed short vs1 = vec_splat(vscales_h, 1);
-            vector signed short vs2 = vec_splat(vscales_h, 2);
-            vector signed short vs3 = vec_splat(vscales_h, 3);
-            vector signed short vs4 = vec_splat(vscales_h, 4);
-            vector signed short vs5 = vec_splat(vscales_h, 5);
-            vector signed short vs6 = vec_splat(vscales_h, 6);
-            vector signed short vs7 = vec_splat(vscales_h, 7);
+            vector signed short vscales_07 = vec_unpackh(vscales);
+            vector signed int vscales_03 = vec_unpackh(vscales_07);
+            vector signed int vscales_47 = vec_unpackl(vscales_07);
+            vector signed int vs0 = vec_splat(vscales_03, 0);
+            vector signed int vs1 = vec_splat(vscales_03, 1);
+            vector signed int vs2 = vec_splat(vscales_03, 2);
+            vector signed int vs3 = vec_splat(vscales_03, 3);
+            vector signed int vs4 = vec_splat(vscales_47, 0);
+            vector signed int vs5 = vec_splat(vscales_47, 1);
+            vector signed int vs6 = vec_splat(vscales_47, 2);
+            vector signed int vs7 = vec_splat(vscales_47, 3);
             vscales = vec_sld(vscales, vscales, 8);
 
-            qv0 = vec_mul(qv0, vs0);
-            qv1 = vec_mul(qv1, vs2);
-            qv2 = vec_mul(qv2, vs4);
-            qv3 = vec_mul(qv3, vs6);
-
-            qv0 = vec_madd(qv4, vs1, qv0);
-            qv1 = vec_madd(qv5, vs3, qv1);
-            qv2 = vec_madd(qv6, vs5, qv2);
-            qv3 = vec_madd(qv7, vs7, qv3);
-
-            vsumi0 = vec_add(vec_unpackh(qv0), vsumi0);
-            vsumi1 = vec_add(vec_unpackh(qv1), vsumi1);
-            vsumi2 = vec_add(vec_unpackh(qv2), vsumi2);
-            vsumi3 = vec_add(vec_unpackh(qv3), vsumi3);
-
-            vsumi4 = vec_add(vec_unpackl(qv0), vsumi4);
-            vsumi5 = vec_add(vec_unpackl(qv1), vsumi5);
-            vsumi6 = vec_add(vec_unpackl(qv2), vsumi6);
-            vsumi7 = vec_add(vec_unpackl(qv3), vsumi7);
+            vsumi0 = vec_add(vec_mul(qv0, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mul(qv1, vs2), vsumi1);
+            vsumi2 = vec_add(vec_mul(qv2, vs4), vsumi2);
+            vsumi3 = vec_add(vec_mul(qv3, vs6), vsumi3);
+            vsumi4 = vec_add(vec_mul(qv4, vs1), vsumi4);
+            vsumi5 = vec_add(vec_mul(qv5, vs3), vsumi5);
+            vsumi6 = vec_add(vec_mul(qv6, vs5), vsumi6);
+            vsumi7 = vec_add(vec_mul(qv7, vs7), vsumi7);
         }
 
         vsumi0 = vec_add(vsumi0, vsumi4);
@@ -6639,6 +6636,9 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0x3);
+    const vector signed char lowMask1 = vec_splats((int8_t)0xf);
+    const vector signed char lowMask2 = vec_splats((int8_t)0x30);
+    const vector int v0 = vec_splats((int32_t)0);
     const vector signed char v1 = vec_splats((signed char)0x1);
     const vector unsigned char v2 = vec_splats((unsigned char)0x2);
     const vector unsigned char v3 = vec_splats((unsigned char)0x3);
@@ -6656,30 +6656,33 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        uint32_t aux[3];
-        uint32_t utmp[4];
+        UNUSED(kmask1);
+        UNUSED(kmask2);
 
-        memcpy(aux, x[i].scales, 12);
-        utmp[3] = ((aux[1] >> 4) & kmask2) | (((aux[2] >> 6) & kmask1) << 4);
-        utmp[2] = ((aux[0] >> 4) & kmask2) | (((aux[2] >> 4) & kmask1) << 4);
-        utmp[1] = (aux[1] & kmask2) | (((aux[2] >> 2) & kmask1) << 4);
-        utmp[0] = (aux[0] & kmask2) | (((aux[2] >> 0) & kmask1) << 4);
+        vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8);
+        vector signed char u1 = vec_and(u0, lowMask1);
+        vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4);
+        vector signed char u3 = (vector signed char)vec_mergeh((vector signed int)u2, (vector signed int)vec_sr(u2, v2));
+        vector signed char u30 = vec_sl(vec_and(u3, lowMask), v4);
+        vector signed char u31 = vec_and(u3, lowMask2);
 
-        vector signed char vscales = (vector signed char)vec_xl( 0, utmp);
+        u1 = vec_or(u1, u30);
+        u2 = vec_or(vec_sr(u0, v4), u31);
+
+        vector signed char vscales = (vector signed char)vec_mergeh((vector signed long long)u1, (vector signed long long)u2);
         vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].hmask);
         vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].hmask);
 
         vscales = vec_sub(vscales, off);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
-
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
+        vector signed int vsumi4 = v0;
+        vector signed int vsumi5 = v0;
+        vector signed int vsumi6 = v0;
+        vector signed int vsumi7 = v0;
 
         const uint8_t * restrict q3 = x[i].qs;
         const int8_t  * restrict q8 = y[i].qs;
@@ -6753,23 +6756,14 @@ void ggml_vec_dot_q3_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed short qv12 = vec_add(vec_mule(q3x12, q8y12), vec_mulo(q3x12, q8y12));
             vector signed short qv13 = vec_add(vec_mule(q3x13, q8y13), vec_mulo(q3x13, q8y13));
 
-            vector signed int vsum0 = vec_add(vec_mule(qv00, vs0), vec_mulo(qv00, vs0));
-            vector signed int vsum1 = vec_add(vec_mule(qv01, vs2), vec_mulo(qv01, vs2));
-            vector signed int vsum2 = vec_add(vec_mule(qv02, vs4), vec_mulo(qv02, vs4));
-            vector signed int vsum3 = vec_add(vec_mule(qv03, vs6), vec_mulo(qv03, vs6));
-            vector signed int vsum4 = vec_add(vec_mule(qv10, vs1), vec_mulo(qv10, vs1));
-            vector signed int vsum5 = vec_add(vec_mule(qv11, vs3), vec_mulo(qv11, vs3));
-            vector signed int vsum6 = vec_add(vec_mule(qv12, vs5), vec_mulo(qv12, vs5));
-            vector signed int vsum7 = vec_add(vec_mule(qv13, vs7), vec_mulo(qv13, vs7));
-
-            vsumi0 = vec_add(vsum0, vsumi0);
-            vsumi1 = vec_add(vsum1, vsumi1);
-            vsumi2 = vec_add(vsum2, vsumi2);
-            vsumi3 = vec_add(vsum3, vsumi3);
-            vsumi4 = vec_add(vsum4, vsumi4);
-            vsumi5 = vec_add(vsum5, vsumi5);
-            vsumi6 = vec_add(vsum6, vsumi6);
-            vsumi7 = vec_add(vsum7, vsumi7);
+            vsumi0 = vec_msum(qv00, vs0, vsumi0);
+            vsumi1 = vec_msum(qv01, vs2, vsumi1);
+            vsumi2 = vec_msum(qv02, vs4, vsumi2);
+            vsumi3 = vec_msum(qv03, vs6, vsumi3);
+            vsumi4 = vec_msum(qv10, vs1, vsumi4);
+            vsumi5 = vec_msum(qv11, vs3, vsumi5);
+            vsumi6 = vec_msum(qv12, vs5, vsumi6);
+            vsumi7 = vec_msum(qv13, vs7, vsumi7);
         }
 
         vsumi0 = vec_add(vsumi0, vsumi4);
@@ -7268,6 +7262,10 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed char lowMask1 = vec_splats((int8_t)0x3f);
+    const vector signed char lowMask2 = vec_splats((int8_t)0x30);
+    const vector int v0 = vec_splats((int32_t)0);
+    const vector unsigned char v2 = vec_splats((uint8_t)2);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
     vector float vsumf0 = vec_splats(0.0f);
@@ -7286,15 +7284,24 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vector signed short q8ysums0 = vec_xl( 0, y[i].bsums);
         vector signed short q8ysums1 = vec_xl(16, y[i].bsums);
 
-        memcpy(utmp, x[i].scales, 12);
+        UNUSED(kmask1);
+        UNUSED(kmask2);
+        UNUSED(kmask3);
+        UNUSED(utmp);
 
-        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
-        const uint32_t uaux = utmp[1] & kmask1;
-        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
-        utmp[2] = uaux;
-        utmp[0] &= kmask1;
+        vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8);
+        vector signed char u1 = vec_and(vec_sr(u0, v2), lowMask2);
+        vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4);
+        vector signed char u3 = vec_sr(u2, v4);
+
+        vector signed char u30 = u1;
+        vector signed char u31 = (vector signed char)vec_mergeh((vector signed int)vec_and(u2, lowMask), (vector signed int)u3);
+
+        u1 = vec_and(u0, lowMask1);
+        u2 = vec_or(u30, u31);
+
+        vector signed char utmps = (vector signed char)vec_mergeh((vector signed int)u1, (vector signed int)u2);
 
-        vector signed char utmps = (vector signed char)vec_xl( 0, utmp);
         vector signed short vscales = vec_unpackh(utmps);
         vector signed short q4xmins = vec_unpackl(utmps);
         vector signed short q4xmins0 = vec_mergeh(q4xmins, q4xmins);
@@ -7310,14 +7317,10 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vsumf2 = vec_nmsub(vec_ctf(prod2, 0), vdmin, vsumf2);
         vsumf3 = vec_nmsub(vec_ctf(prod3, 0), vdmin, vsumf3);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint8_t * restrict q4 = x[i].qs;
         const int8_t  * restrict q8 = y[i].qs;
@@ -7332,14 +7335,14 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed char qxs3 = (vector signed char)vec_xl(48, q4);
             q4 += 64;
 
-            vector signed char q4x00 = vec_and(qxs0, lowMask);
-            vector signed char q4x01 = vec_sr(qxs0, v4);
-            vector signed char q4x10 = vec_and(qxs1, lowMask);
-            vector signed char q4x11 = vec_sr(qxs1, v4);
-            vector signed char q4x20 = vec_and(qxs2, lowMask);
-            vector signed char q4x21 = vec_sr(qxs2, v4);
-            vector signed char q4x30 = vec_and(qxs3, lowMask);
-            vector signed char q4x31 = vec_sr(qxs3, v4);
+            vector unsigned char q4x00 = (vector unsigned char)vec_and(qxs0, lowMask);
+            vector unsigned char q4x01 = (vector unsigned char)vec_sr(qxs0, v4);
+            vector unsigned char q4x10 = (vector unsigned char)vec_and(qxs1, lowMask);
+            vector unsigned char q4x11 = (vector unsigned char)vec_sr(qxs1, v4);
+            vector unsigned char q4x20 = (vector unsigned char)vec_and(qxs2, lowMask);
+            vector unsigned char q4x21 = (vector unsigned char)vec_sr(qxs2, v4);
+            vector unsigned char q4x30 = (vector unsigned char)vec_and(qxs3, lowMask);
+            vector unsigned char q4x31 = (vector unsigned char)vec_sr(qxs3, v4);
 
             vector signed char q8y00 = vec_xl(  0, q8);
             vector signed char q8y10 = vec_xl( 16, q8);
@@ -7351,41 +7354,33 @@ void ggml_vec_dot_q4_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed char q8y31 = vec_xl(112, q8);
             q8 += 128;
 
-            vector signed short qv00 = vec_add(vec_mule(q4x00, q8y00), vec_mulo(q4x00, q8y00));
-            vector signed short qv01 = vec_add(vec_mule(q4x01, q8y01), vec_mulo(q4x01, q8y01));
-            vector signed short qv10 = vec_add(vec_mule(q4x10, q8y10), vec_mulo(q4x10, q8y10));
-            vector signed short qv11 = vec_add(vec_mule(q4x11, q8y11), vec_mulo(q4x11, q8y11));
-            vector signed short qv20 = vec_add(vec_mule(q4x20, q8y20), vec_mulo(q4x20, q8y20));
-            vector signed short qv21 = vec_add(vec_mule(q4x21, q8y21), vec_mulo(q4x21, q8y21));
-            vector signed short qv30 = vec_add(vec_mule(q4x30, q8y30), vec_mulo(q4x30, q8y30));
-            vector signed short qv31 = vec_add(vec_mule(q4x31, q8y31), vec_mulo(q4x31, q8y31));
+            vector signed int qv00 = vec_msum(q8y00, q4x00, v0);
+            vector signed int qv01 = vec_msum(q8y01, q4x01, v0);
+            vector signed int qv10 = vec_msum(q8y10, q4x10, v0);
+            vector signed int qv11 = vec_msum(q8y11, q4x11, v0);
+            vector signed int qv20 = vec_msum(q8y20, q4x20, v0);
+            vector signed int qv21 = vec_msum(q8y21, q4x21, v0);
+            vector signed int qv30 = vec_msum(q8y30, q4x30, v0);
+            vector signed int qv31 = vec_msum(q8y31, q4x31, v0);
 
-            vector signed short vs0 = vec_splat(vscales, 0);
-            vector signed short vs1 = vec_splat(vscales, 1);
-            vector signed short vs2 = vec_splat(vscales, 2);
-            vector signed short vs3 = vec_splat(vscales, 3);
+            vector signed int vscales_h = vec_unpackh(vscales);
+            vector signed int vs0 = vec_splat(vscales_h, 0);
+            vector signed int vs1 = vec_splat(vscales_h, 1);
+            vector signed int vs2 = vec_splat(vscales_h, 2);
+            vector signed int vs3 = vec_splat(vscales_h, 3);
             vscales = vec_sld(vscales, vscales, 8);
 
-            qv00 = vec_add(qv00, qv10);
-            qv10 = vec_add(qv01, qv11);
-            qv20 = vec_add(qv20, qv30);
-            qv30 = vec_add(qv21, qv31);
+            vsumi0 = vec_add(vec_mul(qv00, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mul(qv01, vs1), vsumi1);
+            vsumi2 = vec_add(vec_mul(qv20, vs2), vsumi2);
+            vsumi3 = vec_add(vec_mul(qv21, vs3), vsumi3);
 
-            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
-            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv10, vs1), vsumi2);
-            vsumi3 = vec_add(vec_mulo(qv10, vs1), vsumi3);
-            vsumi4 = vec_add(vec_mule(qv20, vs2), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv20, vs2), vsumi5);
-            vsumi6 = vec_add(vec_mule(qv30, vs3), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv30, vs3), vsumi7);
+            vsumi0 = vec_add(vec_mul(qv10, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mul(qv11, vs1), vsumi1);
+            vsumi2 = vec_add(vec_mul(qv30, vs2), vsumi2);
+            vsumi3 = vec_add(vec_mul(qv31, vs3), vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -7887,6 +7882,9 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed char lowMask1 = vec_splats((int8_t)0x3f);
+    const vector signed char lowMask2 = vec_splats((int8_t)0x30);
+    const vector int v0 = vec_splats((int32_t)0);
     const vector unsigned char v1 = vec_splats((unsigned char)0x1);
     const vector unsigned char v2 = vec_splats((unsigned char)0x2);
     const vector unsigned char v3 = vec_splats((unsigned char)0x3);
@@ -7905,18 +7903,27 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vector float vxmin = vec_splats(GGML_FP16_TO_FP32(x[i].dmin));
         vector float vdmin = vec_mul(vxmin, vyd);
 
-        memcpy(utmp, x[i].scales, 12);
+        UNUSED(kmask1);
+        UNUSED(kmask2);
+        UNUSED(kmask3);
+        UNUSED(utmp);
 
-        utmp[3] = ((utmp[2] >> 4) & kmask2) | (((utmp[1] >> 6) & kmask3) << 4);
-        const uint32_t uaux = utmp[1] & kmask1;
-        utmp[1] = (utmp[2] & kmask2) | (((utmp[0] >> 6) & kmask3) << 4);
-        utmp[2] = uaux;
-        utmp[0] &= kmask1;
+        vector signed char u0 = (vector signed char)vec_xl_len(x[i].scales, 8);
+        vector signed char u1 = vec_and(vec_sr(u0, v2), lowMask2);
+        vector signed char u2 = (vector signed char)vec_xl_len(x[i].scales + 8, 4);
+        vector signed char u3 = vec_sr(u2, v4);
+
+        vector signed char u30 = u1;
+        vector signed char u31 = (vector signed char)vec_mergeh((vector signed int)vec_and(u2, lowMask), (vector signed int)u3);
+
+        u1 = vec_and(u0, lowMask1);
+        u2 = vec_or(u30, u31);
+
+        vector signed char utmps = (vector signed char)vec_mergeh((vector signed int)u1, (vector signed int)u2);
 
         vector signed short q8ysums0 = vec_xl( 0, y[i].bsums);
         vector signed short q8ysums1 = vec_xl(16, y[i].bsums);
 
-        vector signed char utmps = (vector signed char)vec_xl( 0, utmp);
         vector signed short vscales = vec_unpackh(utmps);
 
         vector signed short q5xmins = vec_unpackl(utmps);
@@ -7936,10 +7943,10 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vector signed char qxhs0 = (vector signed char)vec_xl( 0, x[i].qh);
         vector signed char qxhs1 = (vector signed char)vec_xl(16, x[i].qh);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint8_t * restrict q5 = x[i].qs;
         const int8_t  * restrict q8 = y[i].qs;
@@ -7964,10 +7971,10 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             qxhs0 = vec_sr(qxhs0, v2);
             qxhs1 = vec_sr(qxhs1, v2);
 
-            vector signed char q5x00 = vec_or(q5h00, qxs00);
-            vector signed char q5x01 = vec_or(q5h01, qxs01);
-            vector signed char q5x10 = vec_or(q5h10, qxs10);
-            vector signed char q5x11 = vec_or(q5h11, qxs11);
+            vector unsigned char q5x00 = (vector unsigned char)vec_or(q5h00, qxs00);
+            vector unsigned char q5x01 = (vector unsigned char)vec_or(q5h01, qxs01);
+            vector unsigned char q5x10 = (vector unsigned char)vec_or(q5h10, qxs10);
+            vector unsigned char q5x11 = (vector unsigned char)vec_or(q5h11, qxs11);
 
             vector signed char q8y00 = vec_xl( 0, q8);
             vector signed char q8y10 = vec_xl(16, q8);
@@ -7975,22 +7982,20 @@ void ggml_vec_dot_q5_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed char q8y11 = vec_xl(48, q8);
             q8 += 64;
 
-            vector signed short qv00 = vec_add(vec_mule(q5x00, q8y00), vec_mulo(q5x00, q8y00));
-            vector signed short qv01 = vec_add(vec_mule(q5x01, q8y01), vec_mulo(q5x01, q8y01));
-            vector signed short qv10 = vec_add(vec_mule(q5x10, q8y10), vec_mulo(q5x10, q8y10));
-            vector signed short qv11 = vec_add(vec_mule(q5x11, q8y11), vec_mulo(q5x11, q8y11));
+            vector signed int qv00 = vec_msum(q8y00, q5x00, v0);
+            vector signed int qv01 = vec_msum(q8y01, q5x01, v0);
+            vector signed int qv10 = vec_msum(q8y10, q5x10, v0);
+            vector signed int qv11 = vec_msum(q8y11, q5x11, v0);
 
-            vector signed short vs0 = vec_splat(vscales, 0);
-            vector signed short vs1 = vec_splat(vscales, 1);
+            vector signed int vscales_h = vec_unpackh(vscales);
+            vector signed int vs0 = vec_splat(vscales_h, 0);
+            vector signed int vs1 = vec_splat(vscales_h, 1);
             vscales = vec_sld(vscales, vscales, 12);
 
-            qv00 = vec_add(qv00, qv10);
-            qv01 = vec_add(qv01, qv11);
-
-            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
-            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv01, vs1), vsumi2);
-            vsumi3 = vec_add(vec_mulo(qv01, vs1), vsumi3);
+            vsumi0 = vec_add(vec_mul(qv00, vs0), vsumi0);
+            vsumi1 = vec_add(vec_mul(qv10, vs0), vsumi1);
+            vsumi2 = vec_add(vec_mul(qv01, vs1), vsumi2);
+            vsumi3 = vec_add(vec_mul(qv11, vs1), vsumi3);
         }
 
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
@@ -8551,6 +8556,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector int v0 = vec_splats((int32_t)0);
     const vector unsigned char v2 = vec_splats((unsigned char)0x2);
     const vector unsigned char v3 = vec_splats((unsigned char)0x3);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
@@ -8567,14 +8573,14 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
+        vector signed int vsumi4 = v0;
+        vector signed int vsumi5 = v0;
+        vector signed int vsumi6 = v0;
+        vector signed int vsumi7 = v0;
 
         const uint8_t * restrict q6 = x[i].ql;
         const uint8_t * restrict qh = x[i].qh;
@@ -8654,23 +8660,14 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
             vector signed short vs6 = vec_splat(vscales, 6);
             vector signed short vs7 = vec_splat(vscales, 7);
 
-            vsumi0 = vec_add(vec_mule(qv00, vs0), vsumi0);
-            vsumi1 = vec_add(vec_mulo(qv00, vs0), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv01, vs4), vsumi2);
-            vsumi3 = vec_add(vec_mulo(qv01, vs4), vsumi3);
-            vsumi4 = vec_add(vec_mule(qv10, vs1), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv10, vs1), vsumi5);
-            vsumi6 = vec_add(vec_mule(qv11, vs5), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv11, vs5), vsumi7);
-
-            vsumi0 = vec_add(vec_mule(qv20, vs2), vsumi0);
-            vsumi1 = vec_add(vec_mulo(qv20, vs2), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv21, vs6), vsumi2);
-            vsumi3 = vec_add(vec_mulo(qv21, vs6), vsumi3);
-            vsumi4 = vec_add(vec_mule(qv30, vs3), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv30, vs3), vsumi5);
-            vsumi6 = vec_add(vec_mule(qv31, vs7), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv31, vs7), vsumi7);
+            vsumi0 = vec_msum(qv00, vs0, vsumi0);
+            vsumi1 = vec_msum(qv01, vs4, vsumi1);
+            vsumi2 = vec_msum(qv10, vs1, vsumi2);
+            vsumi3 = vec_msum(qv11, vs5, vsumi3);
+            vsumi4 = vec_msum(qv20, vs2, vsumi4);
+            vsumi5 = vec_msum(qv21, vs6, vsumi5);
+            vsumi6 = vec_msum(qv30, vs3, vsumi6);
+            vsumi7 = vec_msum(qv31, vs7, vsumi7);
         }
 
         vsumi0 = vec_add(vsumi0, vsumi4);
@@ -8951,6 +8948,7 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void
     *s = 0.125f * hsum_float_8(accumf);
 
 #elif defined(__POWER9_VECTOR__)
+    const vector int v0 = vec_splats((int32_t)0);
     vector float vsumf0 = vec_splats(0.0f);
     vector float vsumf1 = vec_splats(0.0f);
     vector float vsumf2 = vec_splats(0.0f);
@@ -8963,14 +8961,10 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint16_t * restrict q2 = x[i].qs;
         const int8_t  *  restrict q8 = y[i].qs;
@@ -9017,21 +9011,12 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void
             vector signed short vscales01 = vec_splats((int16_t)(2*ls0+1));
             vector signed short vscales23 = vec_splats((int16_t)(2*ls1+1));
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales01, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales01, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales23, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales23, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -9423,6 +9408,7 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
 
     *s = 0.125f * hsum_float_8(accumf);
 #elif defined(__POWER9_VECTOR__)
+    const vector int v0 = vec_splats((int32_t)0);
     vector float vsumf0 = vec_splats(0.0f);
     vector float vsumf1 = vec_splats(0.0f);
     vector float vsumf2 = vec_splats(0.0f);
@@ -9435,14 +9421,10 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint16_t * restrict q2 = x[i].qs;
         const uint8_t  * restrict sc = x[i].scales;
@@ -9490,21 +9472,12 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
             vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1));
             vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1));
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales0, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales1, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales2, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales3, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -9727,6 +9700,8 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void *
 
     static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
 
+    const vector int v0 = vec_splats((int32_t)0);
+
     vector float vsumf0 = vec_splats(0.0f);
     vector float vsumf1 = vec_splats(0.0f);
     vector float vsumf2 = vec_splats(0.0f);
@@ -9741,14 +9716,10 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void *
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint8_t *  restrict q2 = x[i].qs;
         const uint8_t *  restrict qh = x[i].qh;
@@ -9808,21 +9779,12 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void *
             vector signed short vscales2 = vec_splats((int16_t)(2*ls2+1));
             vector signed short vscales3 = vec_splats((int16_t)(2*ls3+1));
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales0), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales1), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales2), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales3), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales0), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales1), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales2), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales3), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales0, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales1, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales2, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales3, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -10060,6 +10022,8 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void
 #elif defined(__POWER9_VECTOR__)
     const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
 
+    const vector int v0 = vec_splats((int32_t)0);
+
     vector float vsumf0 = vec_splats(0.0f);
     vector float vsumf1 = vec_splats(0.0f);
     vector float vsumf2 = vec_splats(0.0f);
@@ -10070,14 +10034,10 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void
         vector float vyd = vec_splats(y[i].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         const uint8_t * restrict q3 = x[i].qs;
         const uint32_t * restrict signs = (const uint32_t *)(x[i].qs + QK_K/4);
@@ -10122,21 +10082,12 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void
             vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1));
             vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales01, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales01, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales23, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales23, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -10426,6 +10377,8 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 
     static const uint8_t k_mask2[16] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,};
 
+    const vector int v0 = vec_splats((int32_t)0);
+
     vector float vsumf0 = vec_splats(0.0f);
     vector float vsumf1 = vec_splats(0.0f);
     vector float vsumf2 = vec_splats(0.0f);
@@ -10446,14 +10399,10 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
         const uint8_t *  restrict sc = x[i].scales;
         const int8_t  *  restrict q8 = y[i].qs;
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         for (int j = 0; j < QK_K/32; j += 2) {
             __builtin_prefetch(q3, 0, 1);
@@ -10507,21 +10456,12 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
             vector signed short vscales01 = (vector signed short)vec_splats((uint16_t)(2*ls0+1));
             vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales01, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales01, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales23, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales23, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -10802,10 +10742,6 @@ void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void
         vector signed int vsumi1 = vec_splats((int32_t)0);
         vector signed int vsumi2 = vec_splats((int32_t)0);
         vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
         vector signed int vsumi8 = vec_splats((int32_t)0);
 
         const uint8_t  * restrict q1 = x[i].qs;
@@ -10847,14 +10783,10 @@ void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void
             vector signed short vscales23 = (vector signed short)vec_splats((uint16_t)(2*ls1+1));
             vector signed short vscales = vec_sld(vscales23, vscales01, 8);
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales01, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales01, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales23, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales23, vsumi3);
 
             vector signed short q8ysums = vec_xl_len(qs, 8);
             qs += 4;
@@ -10869,11 +10801,6 @@ void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void
             vsumi8 = vec_add(vec_mule(q8ysum, vscales), vsumi8);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);
@@ -11267,6 +11194,7 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void *
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector signed int v0 = vec_splats((int32_t)0);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
     vector float vsumf0 = vec_splats(0.0f);
@@ -11297,8 +11225,11 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void *
         vector signed short qv0 = vec_add(vec_mule(q4x0, q8y0), vec_mulo(q4x0, q8y0));
         vector signed short qv1 = vec_add(vec_mule(q4x1, q8y1), vec_mulo(q4x1, q8y1));
 
-        vector signed int vsumi0 = vec_add(vec_unpackh(qv0), vec_unpackl(qv0));
-        vector signed int vsumi1 = vec_add(vec_unpackh(qv1), vec_unpackl(qv1));
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+
+        vsumi0 = vec_sum4s(qv0, vsumi0);
+        vsumi1 = vec_sum4s(qv1, vsumi1);
 
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
@@ -11453,6 +11384,7 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
 
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
+    const vector int v0 = vec_splats((int32_t)0);
     const vector unsigned char v4 = vec_splats((unsigned char)0x4);
 
     vector float vsumf0 = vec_splats(0.0f);
@@ -11468,14 +11400,10 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
         vector float vyd = vec_splats(y[ibl].d);
         vector float vd = vec_mul(vxd, vyd);
 
-        vector signed int vsumi0 = vec_splats((int32_t)0);
-        vector signed int vsumi1 = vec_splats((int32_t)0);
-        vector signed int vsumi2 = vec_splats((int32_t)0);
-        vector signed int vsumi3 = vec_splats((int32_t)0);
-        vector signed int vsumi4 = vec_splats((int32_t)0);
-        vector signed int vsumi5 = vec_splats((int32_t)0);
-        vector signed int vsumi6 = vec_splats((int32_t)0);
-        vector signed int vsumi7 = vec_splats((int32_t)0);
+        vector signed int vsumi0 = v0;
+        vector signed int vsumi1 = v0;
+        vector signed int vsumi2 = v0;
+        vector signed int vsumi3 = v0;
 
         uint16_t h = x[ibl].scales_h;
 
@@ -11520,21 +11448,12 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
             vector signed short vscales01 = vec_splats((int16_t)ls0);
             vector signed short vscales23 = vec_splats((int16_t)ls1);
 
-            vsumi0 = vec_add(vec_mule(qv0, vscales01), vsumi0);
-            vsumi1 = vec_add(vec_mule(qv1, vscales01), vsumi1);
-            vsumi2 = vec_add(vec_mule(qv2, vscales23), vsumi2);
-            vsumi3 = vec_add(vec_mule(qv3, vscales23), vsumi3);
-            vsumi4 = vec_add(vec_mulo(qv0, vscales01), vsumi4);
-            vsumi5 = vec_add(vec_mulo(qv1, vscales01), vsumi5);
-            vsumi6 = vec_add(vec_mulo(qv2, vscales23), vsumi6);
-            vsumi7 = vec_add(vec_mulo(qv3, vscales23), vsumi7);
+            vsumi0 = vec_msum(qv0, vscales01, vsumi0);
+            vsumi1 = vec_msum(qv1, vscales01, vsumi1);
+            vsumi2 = vec_msum(qv2, vscales23, vsumi2);
+            vsumi3 = vec_msum(qv3, vscales23, vsumi3);
         }
 
-        vsumi0 = vec_add(vsumi0, vsumi4);
-        vsumi1 = vec_add(vsumi1, vsumi5);
-        vsumi2 = vec_add(vsumi2, vsumi6);
-        vsumi3 = vec_add(vsumi3, vsumi7);
-
         vsumf0 = vec_madd(vec_ctf(vsumi0, 0), vd, vsumf0);
         vsumf1 = vec_madd(vec_ctf(vsumi1, 0), vd, vsumf1);
         vsumf2 = vec_madd(vec_ctf(vsumi2, 0), vd, vsumf2);

From 19b7a836f6658e18e973af532a5cc6ad6b3a27f8 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 11 Jun 2024 17:39:01 +0300
Subject: [PATCH 084/131] cuda : fix bounds check for src0 rows in MMVQ kernel
 (whisper/2231)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* cuda : fix bounds check for src0 rows in MMVQ kernel

* Update ggml-cuda/mmvq.cu

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
---
 ggml-cuda/mmvq.cu | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ggml-cuda/mmvq.cu b/ggml-cuda/mmvq.cu
index 5f056e91e..e8d157169 100644
--- a/ggml-cuda/mmvq.cu
+++ b/ggml-cuda/mmvq.cu
@@ -117,7 +117,7 @@ static __global__ void mul_mat_vec_q(
             tmp[j][i] = warp_reduce_sum(tmp[j][i]);
         }
 
-        if (threadIdx.x < rows_per_cuda_block) {
+        if (threadIdx.x < rows_per_cuda_block && (rows_per_cuda_block == 1 || row0 + threadIdx.x < nrows_dst)) {
             dst[j*nrows_dst + row0 + threadIdx.x] = tmp[j][threadIdx.x];
         }
     }

From 43b35e38ba371f9a7faa6dca4c5d1e8f698ffd87 Mon Sep 17 00:00:00 2001
From: Calvin Laurenson <calvin@laurenson.dev>
Date: Sun, 16 Jun 2024 15:23:04 -0700
Subject: [PATCH 085/131] Add support for sqrt on CUDA (#7953)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* cuda sqrt support

* enable cuda in pca

* fix comments in pca

* add test

* add sqrt to ggml_backend_cuda_supports_op

* fix test

* new line

* Use F32 sqrtf instead of F64 sqrt

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
---
 examples/cvector-generator/pca.hpp | 16 ++++++++--------
 ggml-cuda.cu                       |  4 ++++
 ggml-cuda/unary.cu                 | 28 ++++++++++++++++++++++++++++
 ggml-cuda/unary.cuh                |  3 +++
 tests/test-backend-ops.cpp         | 28 ++++++++++++++++++++++++++++
 5 files changed, 71 insertions(+), 8 deletions(-)

diff --git a/examples/cvector-generator/pca.hpp b/examples/cvector-generator/pca.hpp
index 8b95cec37..36eadaac2 100644
--- a/examples/cvector-generator/pca.hpp
+++ b/examples/cvector-generator/pca.hpp
@@ -64,15 +64,15 @@ struct pca_model {
     struct ggml_tensor * dev_eigenvector;
 
     pca_model(struct ggml_tensor * t_input) {
-// TODO: enable GPU support when support for GGML_OP_SQRT is added
-// #ifdef GGML_USE_CUDA
-//         fprintf(stderr, "%s: using CUDA backend\n", __func__);
-//         backend = ggml_backend_cuda_init(0); // init device 0
-//         if (!backend) {
-//             fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__);
-//         }
-// #endif
+#ifdef GGML_USE_CUDA
+        fprintf(stderr, "%s: using CUDA backend\n", __func__);
+        backend = ggml_backend_cuda_init(0); // init device 0
+        if (!backend) {
+            fprintf(stderr, "%s: ggml_backend_cuda_init() failed\n", __func__);
+        }
+#endif
 
+// TODO: enable Metal support when support for GGML_OP_SQRT is added
 // #ifdef GGML_USE_METAL
 //         fprintf(stderr, "%s: using Metal backend\n", __func__);
 //         backend = ggml_backend_metal_init();
diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index 593fa4cda..b8298ab20 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -2267,6 +2267,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg
         case GGML_OP_SQR:
             ggml_cuda_op_sqr(ctx, dst);
             break;
+        case GGML_OP_SQRT:
+            ggml_cuda_op_sqrt(ctx, dst);
+            break;
         case GGML_OP_CLAMP:
             ggml_cuda_op_clamp(ctx, dst);
             break;
@@ -2830,6 +2833,7 @@ GGML_CALL static bool ggml_backend_cuda_supports_op(ggml_backend_t backend, cons
         case GGML_OP_RMS_NORM:
         case GGML_OP_SCALE:
         case GGML_OP_SQR:
+        case GGML_OP_SQRT:
         case GGML_OP_CLAMP:
         case GGML_OP_CONT:
         case GGML_OP_DIAG_MASK_INF:
diff --git a/ggml-cuda/unary.cu b/ggml-cuda/unary.cu
index a5ff96320..f9e208011 100644
--- a/ggml-cuda/unary.cu
+++ b/ggml-cuda/unary.cu
@@ -92,6 +92,15 @@ static __global__ void sqr_f32(const float * x, float * dst, const int k) {
     dst[i] = x[i] * x[i];
 }
 
+static __global__ void sqrt_f32(const float * x, float * dst, const int k) {
+    const int i = blockDim.x*blockIdx.x + threadIdx.x;
+
+    if (i >= k) {
+        return;
+    }
+    dst[i] = sqrtf(x[i]);
+}
+
 static void gelu_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) {
     const int num_blocks = (k + CUDA_GELU_BLOCK_SIZE - 1) / CUDA_GELU_BLOCK_SIZE;
     gelu_f32<<<num_blocks, CUDA_GELU_BLOCK_SIZE, 0, stream>>>(x, dst, k);
@@ -142,6 +151,11 @@ static void sqr_f32_cuda(const float * x, float * dst, const int k, cudaStream_t
     sqr_f32<<<num_blocks, CUDA_SQR_BLOCK_SIZE, 0, stream>>>(x, dst, k);
 }
 
+static void sqrt_f32_cuda(const float * x, float * dst, const int k, cudaStream_t stream) {
+    const int num_blocks = (k + CUDA_SQRT_BLOCK_SIZE - 1) / CUDA_SQRT_BLOCK_SIZE;
+    sqrt_f32<<<num_blocks, CUDA_SQRT_BLOCK_SIZE, 0, stream>>>(x, dst, k);
+}
+
 void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
     const ggml_tensor * src0 = dst->src[0];
     const float * src0_d = (const float *)src0->data;
@@ -284,3 +298,17 @@ void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
 
     sqr_f32_cuda(src0_d, dst_d, ggml_nelements(src0), stream);
 }
+
+void ggml_cuda_op_sqrt(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
+    const ggml_tensor * src0 = dst->src[0];
+    const float * src0_d = (const float *)src0->data;
+    float * dst_d = (float *)dst->data;
+    cudaStream_t stream = ctx.stream();
+
+    GGML_ASSERT(ggml_is_contiguous(src0));
+
+    GGML_ASSERT(src0->type == GGML_TYPE_F32);
+    GGML_ASSERT( dst->type == GGML_TYPE_F32);
+
+    sqrt_f32_cuda(src0_d, dst_d, ggml_nelements(src0), stream);
+}
diff --git a/ggml-cuda/unary.cuh b/ggml-cuda/unary.cuh
index a1d07c04f..4cfb0479e 100644
--- a/ggml-cuda/unary.cuh
+++ b/ggml-cuda/unary.cuh
@@ -8,6 +8,7 @@
 #define CUDA_HARDSIGMOID_BLOCK_SIZE 256
 #define CUDA_HARDSWISH_BLOCK_SIZE 256
 #define CUDA_SQR_BLOCK_SIZE 256
+#define CUDA_SQRT_BLOCK_SIZE 256
 
 void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
@@ -28,3 +29,5 @@ void ggml_cuda_op_hardswish(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
 
 void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
+
+void ggml_cuda_op_sqrt(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 2b48e623e..7c504e937 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -1063,6 +1063,33 @@ struct test_sqr : public test_case {
     }
 };
 
+// GGML_OP_SQRT
+struct test_sqrt : public test_case {
+    const ggml_type type;
+    const std::array<int64_t, 4> ne;
+
+    std::string vars() override {
+        return VARS_TO_STR2(type, ne);
+    }
+
+    test_sqrt(ggml_type type = GGML_TYPE_F32,
+            std::array<int64_t, 4> ne = {10, 10, 10, 10})
+        : type(type), ne(ne) {}
+
+    ggml_tensor * build_graph(ggml_context * ctx) override {
+        ggml_tensor * a = ggml_new_tensor(ctx, type, 4, ne.data());
+        ggml_tensor * out = ggml_sqrt(ctx, a);
+        return out;
+    }
+
+    void initialize_tensors(ggml_context * ctx) override {
+        // fill with positive values
+        for (ggml_tensor * t = ggml_get_first_tensor(ctx); t != NULL; t = ggml_get_next_tensor(ctx, t)) {
+            init_tensor_uniform(t, 0.0f, 100.0f);
+        }
+    }
+};
+
 // GGML_OP_CLAMP
 struct test_clamp : public test_case {
     const ggml_type type;
@@ -2200,6 +2227,7 @@ static bool test_backend(ggml_backend_t backend, test_mode mode, const char * op
     }
 
     test_cases.emplace_back(new test_sqr());
+    test_cases.emplace_back(new test_sqrt());
     test_cases.emplace_back(new test_clamp());
 
     test_cases.emplace_back(new test_diag_mask_inf(GGML_TYPE_F32, {10, 10,  1,  1}, 5));

From df68d4fa5dc929217d3e64d673e099d7a417b206 Mon Sep 17 00:00:00 2001
From: Neo Zhang <zhang.jianyu@outlook.com>
Date: Mon, 17 Jun 2024 11:17:07 +0800
Subject: [PATCH 086/131] [SYCL] Update README-sycl.md for Chapter "Recommended
 release" and "News" (#7946)

* Update README-sycl.md

* Update README-sycl.md

* Update README-sycl.md

* Update README-sycl.md
---
 README-sycl.md | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/README-sycl.md b/README-sycl.md
index 93b623daf..bd1984706 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -1,6 +1,7 @@
 # llama.cpp for SYCL
 
 - [Background](#background)
+- [Recommended Release](#recommended-release)
 - [News](#news)
 - [OS](#os)
 - [Hardware](#hardware)
@@ -31,8 +32,23 @@ When targeting **Intel CPU**, it is recommended to use llama.cpp for [Intel oneM
 
 It has the similar design of other llama.cpp BLAS-based paths such as *OpenBLAS, cuBLAS, etc..*. In beginning work, the oneAPI's [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) open-source migration tool (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) was used for this purpose.
 
+## Recommended Release
+
+The SYCL backend would be broken by some PRs due to no online CI.
+
+The following release is verified with good quality:
+
+|Commit ID|Tag|Release|Verified  Platform|
+|-|-|-|-|
+|fb76ec31a9914b7761c1727303ab30380fd4f05c|b3038 |[llama-b3038-bin-win-sycl-x64.zip](https://github.com/ggerganov/llama.cpp/releases/download/b3038/llama-b3038-bin-win-sycl-x64.zip) |Arc770/Linux/oneAPI 2024.1<br>MTL Arc GPU/Windows 11/oneAPI 2024.1|
+
+
 ## News
 
+- 2024.5
+  - Performance is increased: 34 -> 37 tokens/s of llama-2-7b.Q4_0 on Arc770.
+  - Arch Linux is verified successfully.
+
 - 2024.4
   - Support data types: GGML_TYPE_IQ4_NL, GGML_TYPE_IQ4_XS, GGML_TYPE_IQ3_XXS, GGML_TYPE_IQ3_S, GGML_TYPE_IQ2_XXS, GGML_TYPE_IQ2_XS, GGML_TYPE_IQ2_S, GGML_TYPE_IQ1_S, GGML_TYPE_IQ1_M.
 

From 006167aaf6b6aaa4daa52961035f7460af19f469 Mon Sep 17 00:00:00 2001
From: Brian <mofosyne@gmail.com>
Date: Mon, 17 Jun 2024 15:25:20 +1000
Subject: [PATCH 087/131] gguf-dump.py: add --markdown dump output (#7853)

* gguf-dump.py: add --markdown dump output

* gguf-dump.py: Add toc

* gguf-dump.py: use standard tensor name lookup. Also add tensor ID field

* gguf-dump.py: Add tensor overview count

* gguf-dump.py: fix array preview

* gguf-dump.py: markdownTableWithAlignmentSupport() added

* Add type hints and spacing

Co-authored-by: compilade <git@compilade.net>

* gguf-dump.py: prettyfy dimention

* gguf-dump: right align element count

* gguf-dump.py: element count autosizing

* Apply suggestions from code review

Co-authored-by: compilade <git@compilade.net>

---------

Co-authored-by: compilade <git@compilade.net>
---
 gguf-py/scripts/gguf-dump.py | 264 ++++++++++++++++++++++++++++++++++-
 1 file changed, 262 insertions(+), 2 deletions(-)

diff --git a/gguf-py/scripts/gguf-dump.py b/gguf-py/scripts/gguf-dump.py
index 1a37a7b91..92d14d6cd 100755
--- a/gguf-py/scripts/gguf-dump.py
+++ b/gguf-py/scripts/gguf-dump.py
@@ -14,7 +14,7 @@ import numpy as np
 if "NO_LOCAL_GGUF" not in os.environ and (Path(__file__).parent.parent.parent / 'gguf-py').exists():
     sys.path.insert(0, str(Path(__file__).parent.parent))
 
-from gguf import GGUFReader, GGUFValueType  # noqa: E402
+from gguf import GGUFReader, GGUFValueType, ReaderTensor  # noqa: E402
 
 logger = logging.getLogger("gguf-dump")
 
@@ -101,25 +101,285 @@ def dump_metadata_json(reader: GGUFReader, args: argparse.Namespace) -> None:
     json.dump(result, sys.stdout)
 
 
+def markdown_table_with_alignment_support(header_map: list[dict[str, str]], data: list[dict[str, Any]]):
+    # JSON to Markdown table formatting: https://stackoverflow.com/a/72983854/2850957
+
+    # Alignment Utility Function
+    def strAlign(padding: int, alignMode: str | None, strVal: str):
+        if alignMode == 'center':
+            return strVal.center(padding)
+        elif alignMode == 'right':
+            return strVal.rjust(padding - 1) + ' '
+        elif alignMode == 'left':
+            return ' ' + strVal.ljust(padding - 1)
+        else: # default left
+            return ' ' + strVal.ljust(padding - 1)
+
+    def dashAlign(padding: int, alignMode: str | None):
+        if alignMode == 'center':
+            return ':' + '-' * (padding - 2) + ':'
+        elif alignMode == 'right':
+            return '-' * (padding - 1) + ':'
+        elif alignMode == 'left':
+            return ':' + '-' * (padding - 1)
+        else: # default left
+            return '-' * (padding)
+
+    # Calculate Padding For Each Column Based On Header and Data Length
+    rowsPadding = {}
+    for index, columnEntry in enumerate(header_map):
+        padCount = max([len(str(v)) for d in data for k, v in d.items() if k == columnEntry['key_name']], default=0) + 2
+        headerPadCount = len(columnEntry['header_name']) + 2
+        rowsPadding[index] = headerPadCount if padCount <= headerPadCount else padCount
+
+    # Render Markdown Header
+    rows = []
+    rows.append('|'.join(strAlign(rowsPadding[index], columnEntry.get('align'), str(columnEntry['header_name'])) for index, columnEntry in enumerate(header_map)))
+    rows.append('|'.join(dashAlign(rowsPadding[index], columnEntry.get('align')) for index, columnEntry in enumerate(header_map)))
+
+    # Render Tabular Data
+    for item in data:
+        rows.append('|'.join(strAlign(rowsPadding[index], columnEntry.get('align'), str(item[columnEntry['key_name']])) for index, columnEntry in enumerate(header_map)))
+
+    # Convert Tabular String Rows Into String
+    tableString = ""
+    for row in rows:
+        tableString += f'|{row}|\n'
+
+    return tableString
+
+
+def element_count_rounded_notation(count: int) -> str:
+    if count > 1e15 :
+        # Quadrillion
+        scaled_amount = count * 1e-15
+        scale_suffix = "Q"
+    elif count > 1e12 :
+        # Trillions
+        scaled_amount = count * 1e-12
+        scale_suffix = "T"
+    elif count > 1e9 :
+        # Billions
+        scaled_amount = count * 1e-9
+        scale_suffix = "B"
+    elif count > 1e6 :
+        # Millions
+        scaled_amount = count * 1e-6
+        scale_suffix = "M"
+    elif count > 1e3 :
+        # Thousands
+        scaled_amount = count * 1e-3
+        scale_suffix = "K"
+    else:
+        # Under Thousands
+        scaled_amount = count
+        scale_suffix = ""
+    return f"{'~' if count > 1e3 else ''}{round(scaled_amount)}{scale_suffix}"
+
+
+def translate_tensor_name(name):
+    words = name.split(".")
+
+    # Source: https://github.com/ggerganov/ggml/blob/master/docs/gguf.md#standardized-tensor-names
+    abbreviation_dictionary = {
+        'token_embd': 'Token embedding',
+        'pos_embd': 'Position embedding',
+        'output_norm': 'Output normalization',
+        'output': 'Output',
+        'attn_norm': 'Attention normalization',
+        'attn_norm_2': 'Attention normalization',
+        'attn_qkv': 'Attention query-key-value',
+        'attn_q': 'Attention query',
+        'attn_k': 'Attention key',
+        'attn_v': 'Attention value',
+        'attn_output': 'Attention output',
+        'ffn_norm': 'Feed-forward network normalization',
+        'ffn_up': 'Feed-forward network "up"',
+        'ffn_gate': 'Feed-forward network "gate"',
+        'ffn_down': 'Feed-forward network "down"',
+        'ffn_gate_inp': 'Expert-routing layer for the Feed-forward network in Mixture of Expert models',
+        'ffn_gate_exp': 'Feed-forward network "gate" layer per expert in Mixture of Expert models',
+        'ffn_down_exp': 'Feed-forward network "down" layer per expert in Mixture of Expert models',
+        'ffn_up_exp': 'Feed-forward network "up" layer per expert in Mixture of Expert models',
+        'ssm_in': 'State space model input projections',
+        'ssm_conv1d': 'State space model rolling/shift',
+        'ssm_x': 'State space model selective parametrization',
+        'ssm_a': 'State space model state compression',
+        'ssm_d': 'State space model skip connection',
+        'ssm_dt': 'State space model time step',
+        'ssm_out': 'State space model output projection',
+        'blk': 'Block'
+    }
+
+    expanded_words = []
+    for word in words:
+        word_norm = word.strip().lower()
+        if word_norm in abbreviation_dictionary:
+            expanded_words.append(abbreviation_dictionary[word_norm].title())
+        else:
+            expanded_words.append(word.title())
+
+    return ' '.join(expanded_words)
+
+
+def dump_markdown_metadata(reader: GGUFReader, args: argparse.Namespace) -> None:
+    host_endian, file_endian = get_file_host_endian(reader)
+    markdown_content = ""
+    markdown_content += f'# {args.model} - GGUF Internal File Dump\n\n'
+    markdown_content += f'- Endian: {file_endian} endian\n'
+    markdown_content += '\n'
+    markdown_content += '## Key Value Metadata Store\n\n'
+    markdown_content += f'There are {len(reader.fields)} key-value pairs in this file\n'
+    markdown_content += '\n'
+
+    kv_dump_table: list[dict[str, str | int]] = []
+    for n, field in enumerate(reader.fields.values(), 1):
+        if not field.types:
+            pretty_type = 'N/A'
+        elif field.types[0] == GGUFValueType.ARRAY:
+            nest_count = len(field.types) - 1
+            pretty_type = '[' * nest_count + str(field.types[-1].name) + ']' * nest_count
+        else:
+            pretty_type = str(field.types[-1].name)
+
+        total_elements = len(field.data)
+        value = ""
+        if len(field.types) == 1:
+            curr_type = field.types[0]
+            if curr_type == GGUFValueType.STRING:
+                value = repr(str(bytes(field.parts[-1]), encoding='utf-8')[:60])
+            elif curr_type in reader.gguf_scalar_to_np:
+                value = str(field.parts[-1][0])
+        else:
+            if field.types[0] == GGUFValueType.ARRAY:
+                curr_type = field.types[1]
+                if curr_type == GGUFValueType.STRING:
+                    render_element = min(5, total_elements)
+                    for element_pos in range(render_element):
+                        value += repr(str(bytes(field.parts[-1 - element_pos]), encoding='utf-8')[:5]) + (", " if total_elements > 1 else "")
+                elif curr_type in reader.gguf_scalar_to_np:
+                    render_element = min(7, total_elements)
+                    for element_pos in range(render_element):
+                        value += str(field.parts[-1 - element_pos][0]) + (", " if total_elements > 1 else "")
+                value = f'[ {value}{" ..." if total_elements > 1 else ""} ]'
+        kv_dump_table.append({"n":n, "pretty_type":pretty_type, "total_elements":total_elements, "field_name":field.name, "value":value})
+
+    kv_dump_table_header_map = [
+        {'key_name':'n',                'header_name':'POS',      'align':'right'},
+        {'key_name':'pretty_type',      'header_name':'TYPE',     'align':'left'},
+        {'key_name':'total_elements',   'header_name':'Count',    'align':'right'},
+        {'key_name':'field_name',       'header_name':'Key',      'align':'left'},
+        {'key_name':'value',            'header_name':'Value',    'align':'left'},
+    ]
+
+    markdown_content += markdown_table_with_alignment_support(kv_dump_table_header_map, kv_dump_table)
+
+    markdown_content += "\n"
+
+    if not args.no_tensors:
+        # Group tensors by their prefix and maintain order
+        tensor_prefix_order: list[str] = []
+        tensor_name_to_key: dict[str, int] = {}
+        tensor_groups: dict[str, list[ReaderTensor]] = {}
+        total_elements = sum(tensor.n_elements for tensor in reader.tensors)
+
+        # Parsing Tensors Record
+        for key, tensor in enumerate(reader.tensors):
+            tensor_components = tensor.name.split('.')
+
+            # Classify Tensor Group
+            tensor_group_name = "base"
+            if tensor_components[0] == 'blk':
+                tensor_group_name = f"{tensor_components[0]}.{tensor_components[1]}"
+
+            # Check if new Tensor Group
+            if tensor_group_name not in tensor_groups:
+                tensor_groups[tensor_group_name] = []
+                tensor_prefix_order.append(tensor_group_name)
+
+            # Record Tensor and Tensor Position
+            tensor_groups[tensor_group_name].append(tensor)
+            tensor_name_to_key[tensor.name] = key
+
+        # Tensors Mapping Dump
+        markdown_content += f'## Tensors Overview {element_count_rounded_notation(total_elements)} Elements\n\n'
+        markdown_content += f'Total number of elements in all tensors: {total_elements} Elements\n'
+        markdown_content += '\n'
+
+        for group in tensor_prefix_order:
+            tensors = tensor_groups[group]
+            group_elements = sum(tensor.n_elements for tensor in tensors)
+            markdown_content += f"- [{translate_tensor_name(group)} Tensor Group - {element_count_rounded_notation(group_elements)} Elements](#{group.replace('.', '_')})\n"
+
+        markdown_content += "\n"
+
+        for group in tensor_prefix_order:
+            tensors = tensor_groups[group]
+            group_elements = sum(tensor.n_elements for tensor in tensors)
+            group_percentage = group_elements / total_elements * 100
+            markdown_content += f"### <a name=\"{group.replace('.', '_')}\">{translate_tensor_name(group)} Tensor Group : {element_count_rounded_notation(group_elements)} Elements</a>\n\n"
+
+            # Precalculate column sizing for visual consistency
+            prettify_element_est_count_size: int = 1
+            prettify_element_count_size: int = 1
+            prettify_dimension_max_widths: dict[int, int] = {}
+            for tensor in tensors:
+                prettify_element_est_count_size = max(prettify_element_est_count_size, len(str(element_count_rounded_notation(tensor.n_elements))))
+                prettify_element_count_size = max(prettify_element_count_size, len(str(tensor.n_elements)))
+                for i, dimension_size in enumerate(list(tensor.shape) + [1] * (4 - len(tensor.shape))):
+                    prettify_dimension_max_widths[i] = max(prettify_dimension_max_widths.get(i,1), len(str(dimension_size)))
+
+            # Generate Tensor Layer Table Content
+            tensor_dump_table: list[dict[str, str | int]] = []
+            for tensor in tensors:
+                human_friendly_name = translate_tensor_name(tensor.name.replace(".weight", ".(W)").replace(".bias", ".(B)"))
+                pretty_dimension = ' x '.join(f'{str(d):>{prettify_dimension_max_widths[i]}}' for i, d in enumerate(list(tensor.shape) + [1] * (4 - len(tensor.shape))))
+                element_count_est = f"({element_count_rounded_notation(tensor.n_elements):>{prettify_element_est_count_size}})"
+                element_count_string = f"{element_count_est} {tensor.n_elements:>{prettify_element_count_size}}"
+                type_name_string = f"{tensor.tensor_type.name}"
+                tensor_dump_table.append({"t_id":tensor_name_to_key[tensor.name], "layer_name":tensor.name, "human_layer_name":human_friendly_name, "element_count":element_count_string, "pretty_dimension":pretty_dimension, "tensor_type":type_name_string})
+
+            tensor_dump_table_header_map = [
+                {'key_name':'t_id',             'header_name':'T_ID',                             'align':'right'},
+                {'key_name':'layer_name',       'header_name':'Tensor Layer Name',                'align':'left'},
+                {'key_name':'human_layer_name', 'header_name':'Human Friendly Tensor Layer Name', 'align':'left'},
+                {'key_name':'element_count',    'header_name':'Elements',                         'align':'left'},
+                {'key_name':'pretty_dimension', 'header_name':'Shape',                            'align':'left'},
+                {'key_name':'tensor_type',      'header_name':'Type',                             'align':'left'},
+            ]
+
+            markdown_content += markdown_table_with_alignment_support(tensor_dump_table_header_map, tensor_dump_table)
+
+            markdown_content += "\n"
+            markdown_content += f"- Total elements in {group}: ({element_count_rounded_notation(group_elements):>4}) {group_elements}\n"
+            markdown_content += f"- Percentage of total elements: {group_percentage:.2f}%\n"
+            markdown_content += "\n\n"
+
+        print(markdown_content)  # noqa: NP100
+
+
 def main() -> None:
     parser = argparse.ArgumentParser(description="Dump GGUF file metadata")
     parser.add_argument("model",           type=str,            help="GGUF format model filename")
     parser.add_argument("--no-tensors", action="store_true", help="Don't dump tensor metadata")
     parser.add_argument("--json",       action="store_true", help="Produce JSON output")
     parser.add_argument("--json-array", action="store_true", help="Include full array values in JSON output (long)")
+    parser.add_argument("--markdown",   action="store_true", help="Produce markdown output")
     parser.add_argument("--verbose",    action="store_true", help="increase output verbosity")
 
     args = parser.parse_args(None if len(sys.argv) > 1 else ["--help"])
 
     logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
 
-    if not args.json:
+    if not args.json and not args.markdown:
         logger.info(f'* Loading: {args.model}')
 
     reader = GGUFReader(args.model, 'r')
 
     if args.json:
         dump_metadata_json(reader, args)
+    elif args.markdown:
+        dump_markdown_metadata(reader, args)
     else:
         dump_metadata(reader, args)
 

From 21be9cab94e0b5b53cb6edeeebf8c8c799baad03 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Mon, 17 Jun 2024 11:09:20 +0300
Subject: [PATCH 088/131] rpc : fix load/store misaligned addresses (#7948)

---
 ggml-rpc.cpp | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/ggml-rpc.cpp b/ggml-rpc.cpp
index 22d9524b8..b01ad2674 100644
--- a/ggml-rpc.cpp
+++ b/ggml-rpc.cpp
@@ -73,9 +73,13 @@ struct rpc_tensor {
     uint64_t view_offs;
     uint64_t data;
     char name[GGML_MAX_NAME];
+
+    char padding[4];
 };
 #pragma pack(pop)
 
+static_assert(sizeof(rpc_tensor) % 8 == 0, "rpc_tensor size must be multiple of 8");
+
 // RPC commands
 enum rpc_cmd {
     ALLOC_BUFFER = 0,
@@ -599,9 +603,8 @@ static void serialize_graph(const ggml_cgraph * cgraph, std::vector<uint8_t> & o
     int output_size = sizeof(uint32_t) + n_nodes * sizeof(uint64_t) + sizeof(uint32_t) + n_tensors * sizeof(rpc_tensor);
     output.resize(output_size, 0);
     memcpy(output.data(), &n_nodes, sizeof(n_nodes));
-    uint64_t * out_nodes = (uint64_t *)(output.data() + sizeof(n_nodes));
     for (uint32_t i = 0; i < n_nodes; i++) {
-        out_nodes[i] = reinterpret_cast<uint64_t>(cgraph->nodes[i]);
+        memcpy(output.data() + sizeof(n_nodes) + i * sizeof(uint64_t), &cgraph->nodes[i], sizeof(uint64_t));
     }
     uint32_t * out_ntensors = (uint32_t *)(output.data() + sizeof(n_nodes) + n_nodes * sizeof(uint64_t));
     *out_ntensors = n_tensors;
@@ -1036,7 +1039,9 @@ bool rpc_server::graph_compute(const std::vector<uint8_t> & input, std::vector<u
     }
     std::unordered_map<uint64_t, ggml_tensor*> tensor_map;
     for (uint32_t i = 0; i < n_nodes; i++) {
-        graph->nodes[i] = create_node(nodes[i], ctx, tensor_ptrs, tensor_map);
+        int64_t id;
+        memcpy(&id, &nodes[i], sizeof(id));
+        graph->nodes[i] = create_node(id, ctx, tensor_ptrs, tensor_map);
     }
     ggml_status status = ggml_backend_graph_compute(backend, graph);
     // output serialization format: | status (1 byte) |

From 6a2f0b3474d479bda4ac2ee7cfd5dcdcf0be1f79 Mon Sep 17 00:00:00 2001
From: Markus Tavenrath <mtavenrath@users.noreply.github.com>
Date: Mon, 17 Jun 2024 16:10:15 +0200
Subject: [PATCH 089/131] Implement non-mapped async IO for CUDA on Windows. 
 (#7896)

* Implement non-mapped async IO for CUDA on Windows. On a fast Gen5 NVMe drive this change improves model load time by >3x while it should be the same (or slightly faster) on any other drive.

* Free resources except for backend.

* Change assertions to exceptions in llama_file, find correct cuda backend to create CUDA resources and respect the use_mmap flag again for CUDA.

* Apply suggestions from code review

Co-authored-by: slaren <slarengh@gmail.com>

* Fix editorconfig and unused variable

* Fix issues with Windows build

---------

Co-authored-by: slaren <slarengh@gmail.com>
---
 llama.cpp | 216 ++++++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 208 insertions(+), 8 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index bd4f8ec18..b324807f8 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -1278,6 +1278,126 @@ struct no_init {
 };
 
 struct llama_file {
+
+#if defined(_WIN32)
+    // use FILE * so we don't have to re-open the file to mmap
+    FILE * fp;
+    HANDLE fp_win32;
+    size_t size;
+
+private:
+    std::string GetErrorMessageWin32(DWORD error_code) const {
+        std::string ret;
+        LPSTR lpMsgBuf = NULL;
+        DWORD bufLen = FormatMessageA(FORMAT_MESSAGE_ALLOCATE_BUFFER | FORMAT_MESSAGE_FROM_SYSTEM | FORMAT_MESSAGE_IGNORE_INSERTS,
+                                    NULL, error_code, MAKELANGID(LANG_NEUTRAL, SUBLANG_DEFAULT), (LPSTR)&lpMsgBuf, 0, NULL);
+        if (!bufLen) {
+            ret = format("Win32 error code: %s", error_code);
+        } else {
+            ret = lpMsgBuf;
+            LocalFree(lpMsgBuf);
+        }
+
+        return ret;
+    }
+
+public:
+
+    llama_file(const char * fname, const char * mode) {
+        fp = ggml_fopen(fname, mode);
+        if (fp == NULL) {
+            throw std::runtime_error(format("failed to open %s: %s", fname, strerror(errno)));
+        }
+        fp_win32 = (HANDLE) _get_osfhandle(_fileno(fp));
+        seek(0, SEEK_END);
+        size = tell();
+        seek(0, SEEK_SET);
+    }
+
+    size_t tell() const {
+        // SetFilePointerEx returns the current position when seeking relative 0 bytes
+        LARGE_INTEGER li;
+        li.QuadPart = 0;
+        BOOL ret = SetFilePointerEx(fp_win32, li, &li, FILE_CURRENT);
+        if (!ret) {
+            throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str()));
+        }
+
+        return li.QuadPart;
+    }
+
+    void seek(size_t offset, int whence) const {
+        // no need to convert SEEK_* to FILE_*. The enums are the same.
+        // Still, keep static asserts to avoid failures in the future.
+        static_assert(SEEK_SET == FILE_BEGIN, "SEEK_SET != FILE_BEGIN");
+        static_assert(SEEK_CUR == FILE_CURRENT, "SEEK_CUR != FILE_CURRENT");
+        static_assert(SEEK_END == FILE_END, "SEEK_END != FILE_END");
+
+        LARGE_INTEGER li;
+        li.QuadPart = offset;
+        BOOL ret = SetFilePointerEx(fp_win32, li, NULL, whence);
+        if (!ret) {
+            throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str()));
+        }
+    }
+
+    void read_raw(void * ptr, size_t len) const {
+        // On Win32 ReadFile is significant faster than fread which is again significant faster than std::fstream. Thus
+        // use the Win32 API to do file io instead of the C/C++ library functions.
+
+        // There are conditions under which ReadFile cannot read chunks >64MB.
+        // Thus split the operation into smaller chunks if len exceeds this limit.
+        size_t bytes_read = 0;
+        while (bytes_read < len) {
+            size_t chunk_size = std::min<size_t>(len - bytes_read, 64*1024*1024);
+            DWORD chunk_read = 0;
+            BOOL result = ReadFile(fp_win32, reinterpret_cast<char*>(ptr) + bytes_read, chunk_size, &chunk_read, NULL);
+            if (!result) {
+                throw std::runtime_error(format("read error: %s", GetErrorMessageWin32(GetLastError()).c_str()));
+            }
+            if (chunk_read < chunk_size || chunk_read == 0) {
+                throw std::runtime_error("unexpectedly reached end of file");
+            }
+
+            bytes_read += chunk_read;
+        } ;
+    }
+
+    uint32_t read_u32() const {
+        uint32_t val;
+        read_raw(&val, sizeof(val));
+        return val;
+    }
+
+    void write_raw(const void * ptr, size_t len) const {
+        // There are conditions under which WriteFile cannot write chunks >64MB.
+        // Thus split the operation into smaller chunks if len exceeds this limit.
+        size_t bytes_written = 0;
+        while (bytes_written < len) {
+            size_t chunk_size = std::min<size_t>(len - bytes_written, 64*1024*1024);
+            DWORD chunk_written = 0;
+            BOOL result = WriteFile(fp_win32, reinterpret_cast<char const*>(ptr) + bytes_written, chunk_size, &chunk_written, NULL);
+            if (!result) {
+                throw std::runtime_error(format("write error: %s", GetErrorMessageWin32(GetLastError()).c_str()));
+            }
+            if (chunk_written < chunk_size || chunk_written == 0) {
+                throw std::runtime_error("unexpectedly failed to write bytes");
+            }
+
+            bytes_written += chunk_written;
+        }
+    }
+
+    void write_u32(std::uint32_t val) const {
+        write_raw(&val, sizeof(val));
+    }
+
+    ~llama_file() {
+        if (fp) {
+            std::fclose(fp);
+        }
+    }
+#else
     // use FILE * so we don't have to re-open the file to mmap
     FILE * fp;
     size_t size;
@@ -1298,7 +1418,10 @@ struct llama_file {
 #else
         long ret = std::ftell(fp);
 #endif
-        GGML_ASSERT(ret != -1); // this really shouldn't fail
+        if (ret == -1) {
+            throw std::runtime_error(format("ftell error: %s", strerror(errno)));
+        }
+
         return (size_t) ret;
     }
 
@@ -1308,7 +1431,9 @@ struct llama_file {
 #else
         int ret = std::fseek(fp, (long) offset, whence);
 #endif
-        GGML_ASSERT(ret == 0); // same
+        if (ret != 0) {
+            throw std::runtime_error(format("seek error: %s", strerror(errno)));
+        }
     }
 
     void read_raw(void * ptr, size_t len) const {
@@ -1351,6 +1476,7 @@ struct llama_file {
             std::fclose(fp);
         }
     }
+#endif
 };
 using llama_files = std::vector<std::unique_ptr<llama_file>>;
 
@@ -3721,6 +3847,44 @@ struct llama_model_loader {
         std::vector<no_init<uint8_t>> read_buf;
         std::vector<std::future<std::pair<ggml_tensor *, bool>>> validation_result;
 
+#if defined(GGML_USE_CUDA)
+        // 4 staging buffers for async uploads, each sized 1MB seems to be a good default for single NVMe drives.
+        // NVMe raid configurations might require more / larger buffers.
+        constexpr size_t num_buffers = 4;
+        constexpr size_t buffer_size = 1 * 1024 * 1024; // 1MB
+
+        std::vector<ggml_backend_buffer_t> host_buffers;
+        std::vector<void*> host_ptrs;
+        std::vector<ggml_backend_event_t> events;
+        size_t buffer_idx = 0; // buffer to use for async loads
+
+        ggml_backend_t cuda_backend = nullptr;
+        if (!use_mmap && !check_tensors) {
+            // When not using mmaped io use async uploads from pinned memory to GPU memory.
+            // First determine if the CUDA backend is active, and if so, determine the device ID.
+            ggml_backend_buffer_t buf = bufs_mmap.count(0) ? bufs_mmap.at(0) : nullptr;
+            if (buf) {
+                ggml_backend_buffer_type_t buffer_type = ggml_backend_buffer_get_type(buf);
+                for (int i = 0; i < ggml_backend_cuda_get_device_count(); ++i) {
+                    auto * cuda_buffer_type = ggml_backend_cuda_buffer_type(i);
+                    if (buffer_type == cuda_buffer_type) {
+                        cuda_backend = ggml_backend_cuda_init(i);
+                        break;
+                    }
+                }
+            }
+
+            // If the cuda backend is active create pinned memory buffers and events for synchronisation.
+            if (cuda_backend) {
+                for (size_t idx = 0; idx < num_buffers; ++idx) {
+                    host_buffers.emplace_back(ggml_backend_buft_alloc_buffer(llama_default_buffer_type_cpu(true), buffer_size));
+                    host_ptrs.emplace_back(ggml_backend_buffer_get_base(host_buffers[idx]));
+                    events.emplace_back(ggml_backend_event_new(cuda_backend));
+                }
+            }
+        }
+#endif
+
         for (struct ggml_tensor * cur = ggml_get_first_tensor(ctx); cur != NULL; cur = ggml_get_next_tensor(ctx, cur)) {
             const auto * weight = get_weight(ggml_get_name(cur));
             if (weight == nullptr) {
@@ -3776,12 +3940,36 @@ struct llama_model_loader {
                         }));
                     }
                 } else {
-                    read_buf.resize(n_size);
-                    file->seek(weight->offs, SEEK_SET);
-                    file->read_raw(read_buf.data(), n_size);
-                    ggml_backend_tensor_set(cur, read_buf.data(), 0, n_size);
-                    if (check_tensors && !ggml_validate_row_data(cur->type, read_buf.data(), n_size)) {
-                        throw std::runtime_error(format("tensor '%s' has invalid data", ggml_get_name(cur)));
+#if defined(GGML_USE_CUDA)
+                    // If cuda_backend is valid load the tensor in chunks to pinned memory and upload the buffers asynchronously to the GPU.
+                    if (cuda_backend) {
+                        file->seek(weight->offs, SEEK_SET);
+
+                        size_t bytes_read = 0;
+
+                        while (bytes_read < n_size) {
+                            size_t read_iteration = std::min<size_t>(buffer_size, n_size - bytes_read);
+
+                            ggml_backend_event_synchronize(events[buffer_idx]);
+                            file->read_raw(host_ptrs[buffer_idx], read_iteration);
+                            ggml_backend_tensor_set_async(cuda_backend, cur, host_ptrs[buffer_idx], bytes_read, read_iteration);
+                            ggml_backend_event_record(events[buffer_idx]);
+
+                            bytes_read += read_iteration;
+                            ++buffer_idx;
+                            buffer_idx %= num_buffers;
+                        }
+                    }
+                    else
+#endif
+                    {
+                        read_buf.resize(n_size);
+                        file->seek(weight->offs, SEEK_SET);
+                        file->read_raw(read_buf.data(), n_size);
+                        ggml_backend_tensor_set(cur, read_buf.data(), 0, n_size);
+                        if (check_tensors && !ggml_validate_row_data(cur->type, read_buf.data(), n_size)) {
+                            throw std::runtime_error(format("tensor '%s' has invalid data", ggml_get_name(cur)));
+                        }
                     }
                 }
             }
@@ -3789,6 +3977,18 @@ struct llama_model_loader {
             size_done += n_size;
         }
 
+#if defined(GGML_USE_CUDA)
+        // free temporary resources used for async cuda uploads
+        if (cuda_backend) {
+            for (size_t idx = 0; idx < num_buffers;++idx) {
+                ggml_backend_event_synchronize(events[idx]);
+                ggml_backend_event_free(events[idx]);
+                ggml_backend_buffer_free(host_buffers[idx]);
+            }
+            ggml_backend_free(cuda_backend);
+        }
+#endif
+
         // check validation results
         bool validation_failed = false;
         for (auto & future : validation_result) {

From c637fcd34d135a9ff4f97d3a53ad03a910a4a31f Mon Sep 17 00:00:00 2001
From: Frank Mai <thxcode0824@gmail.com>
Date: Mon, 17 Jun 2024 22:11:08 +0800
Subject: [PATCH 090/131] fix: divide 0 exception in mamba (#7932)

Signed-off-by: thxCode <thxcode0824@gmail.com>
---
 llama.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama.cpp b/llama.cpp
index b324807f8..dd7020dc0 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -5383,7 +5383,7 @@ static bool llm_load_tensors(
     // create tensors for the weights
     {
         const int64_t n_embd       = hparams.n_embd;
-        const int64_t n_embd_head  = n_embd / hparams.n_head;
+        const int64_t n_embd_head  = (hparams.n_head == 0) ? 0 : n_embd / hparams.n_head;
         const int64_t n_embd_k_gqa = hparams.n_embd_k_gqa();
         const int64_t n_embd_v_gqa = hparams.n_embd_v_gqa();
         const int64_t n_embd_gqa   = n_embd_v_gqa;

From 99052cd227c7182fcf53343d2e7d33bfa180a9cf Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Mon, 17 Jun 2024 16:51:42 +0200
Subject: [PATCH 091/131] sched : offload_op also requires supports_op (#7977)

---
 ggml-backend.c | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ggml-backend.c b/ggml-backend.c
index 2bec7bea3..26dce7f72 100644
--- a/ggml-backend.c
+++ b/ggml-backend.c
@@ -1172,7 +1172,7 @@ static int ggml_backend_sched_backend_id_from_cur(ggml_backend_sched_t sched, st
             // check if a backend with higher prio wants to offload the op
             if (src_backend_id == sched->n_backends - 1) {
                 for (int b = 0; b < src_backend_id; b++) {
-                    if (ggml_backend_offload_op(sched->backends[b], tensor)) {
+                    if (ggml_backend_supports_op(sched->backends[b], tensor) && ggml_backend_offload_op(sched->backends[b], tensor)) {
                         SET_CAUSE(tensor, "1.off");
                         return b;
                     }

From b473e95084c286780165568cf0f385f21141d68d Mon Sep 17 00:00:00 2001
From: Bryan Honof <bryanhonof@gmail.com>
Date: Mon, 17 Jun 2024 17:37:55 +0200
Subject: [PATCH 092/131] Add Nix and Flox install instructions (#7899)

---
 README.md | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/README.md b/README.md
index fd75a64ba..54859946d 100644
--- a/README.md
+++ b/README.md
@@ -387,6 +387,30 @@ brew install llama.cpp
 ```
 The formula is automatically updated with new `llama.cpp` releases. More info: https://github.com/ggerganov/llama.cpp/discussions/7668
 
+### Nix
+
+On Mac and Linux, the Nix package manager can be used via
+```
+nix profile install nixpkgs#llama-cpp
+```
+For flake enabled installs.
+
+Or
+```
+nix-env --file '<nixpkgs>' --install --attr llama-cpp
+```
+For non-flake enabled installs.
+
+This expression is automatically updated within the [nixpkgs repo](https://github.com/NixOS/nixpkgs/blob/nixos-24.05/pkgs/by-name/ll/llama-cpp/package.nix#L164).
+
+#### Flox
+
+On Mac and Linux, Flox can be used to install llama.cpp within a Flox environment via
+```
+flox install llama-cpp
+```
+Flox follows the nixpkgs build of llama.cpp.
+
 ### Metal Build
 
 On MacOS, Metal is enabled by default. Using Metal makes the computation run on the GPU.

From 7c26775adb579e92b59c82e8084c07a1d0f75e9c Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Mon, 17 Jun 2024 19:40:01 +0300
Subject: [PATCH 093/131] llama : disable FA if KV head size do not match
 (#7982)

---
 llama.cpp | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/llama.cpp b/llama.cpp
index dd7020dc0..619487515 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -16260,6 +16260,11 @@ struct llama_context * llama_new_context_with_model(
         params.flash_attn = false;
     }
 
+    if (params.flash_attn && model->hparams.n_embd_head_k != model->hparams.n_embd_head_v) {
+        LLAMA_LOG_WARN("%s: flash_attn requires n_embd_head_k == n_embd_head_v - forcing off\n", __func__);
+        params.flash_attn = false;
+    }
+
     if (params.type_v != GGML_TYPE_F16 && !params.flash_attn) {
         LLAMA_LOG_ERROR("%s: V cache quantization requires flash_attn\n", __func__);
         return nullptr;

From 5b6da187508f49a9fa9d95fa22ae804a0780d256 Mon Sep 17 00:00:00 2001
From: Srihari-mcw <96763064+Srihari-mcw@users.noreply.github.com>
Date: Mon, 17 Jun 2024 23:53:17 +0530
Subject: [PATCH 094/131] Make updates to type cast based on compiler instead
 of OS (#7851)

---
 ggml-impl.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/ggml-impl.h b/ggml-impl.h
index 5e77471f3..1d2336190 100644
--- a/ggml-impl.h
+++ b/ggml-impl.h
@@ -17,7 +17,7 @@
 #define MIN(a, b) ((a) < (b) ? (a) : (b))
 #define MAX(a, b) ((a) > (b) ? (a) : (b))
 
-#if defined(_WIN32)
+#if defined(_MSC_VER)
 
 #define m512bh(p) p
 #define m512i(p) p

From a94e6ff8774b7c9f950d9545baf0ce35e8d1ed2f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=C8=98tefan-Gabriel=20Muscalu?=
 <legraphista@users.noreply.github.com>
Date: Mon, 17 Jun 2024 22:08:46 +0300
Subject: [PATCH 095/131] update: support Qwen2-57B-A14B (#7835)

* update: convert-hf-to-gguf.py to support Qwen2-57B-A14B

* fix: QWEN2MOE support for expert_feed_forward_length

previously, expert ff was taken from n_ff (intermediate size) but it is now properly taken from LLM_KV_EXPERT_FEED_FORWARD_LENGTH

n_ff_exp and n_ff_shared_exp are now properly calculated

* update: convert-hf-to-gguf.py cleanup for Qwen2MoeForCausalLM

* fix: QWEN2MOE support for expert_feed_forward_length

previously, expert ff was taken from n_ff (intermediate size) but it is now properly taken from LLM_KV_EXPERT_FEED_FORWARD_LENGTH

n_ff_exp and n_ff_shexp are now properly calculated
---
 convert-hf-to-gguf.py       |  6 +++++
 gguf-py/gguf/constants.py   | 31 +++++++++++-----------
 gguf-py/gguf/gguf_writer.py |  3 +++
 llama.cpp                   | 51 +++++++++++++++++++++++--------------
 4 files changed, 57 insertions(+), 34 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 55ce502db..a6751cc80 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -1632,6 +1632,12 @@ class Qwen2MoeModel(Model):
         super().set_gguf_parameters()
         if (n_experts := self.hparams.get("num_experts")) is not None:
             self.gguf_writer.add_expert_count(n_experts)
+        if (moe_intermediate_size := self.hparams.get("moe_intermediate_size")) is not None:
+            self.gguf_writer.add_expert_feed_forward_length(moe_intermediate_size)
+            logger.info(f"gguf: expert feed forward length = {moe_intermediate_size}")
+        if (shared_expert_intermediate_size := self.hparams.get('shared_expert_intermediate_size')) is not None:
+            self.gguf_writer.add_expert_shared_feed_forward_length(shared_expert_intermediate_size)
+            logger.info(f"gguf: expert shared feed forward length = {shared_expert_intermediate_size}")
 
     _experts: list[dict[str, Tensor]] | None = None
 
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index 8908585cc..fb20cfabb 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -33,21 +33,22 @@ class Keys:
         FILE_TYPE            = "general.file_type"
 
     class LLM:
-        VOCAB_SIZE                 = "{arch}.vocab_size"
-        CONTEXT_LENGTH             = "{arch}.context_length"
-        EMBEDDING_LENGTH           = "{arch}.embedding_length"
-        BLOCK_COUNT                = "{arch}.block_count"
-        LEADING_DENSE_BLOCK_COUNT  = "{arch}.leading_dense_block_count"
-        FEED_FORWARD_LENGTH        = "{arch}.feed_forward_length"
-        EXPERT_FEED_FORWARD_LENGTH = "{arch}.expert_feed_forward_length"
-        USE_PARALLEL_RESIDUAL      = "{arch}.use_parallel_residual"
-        TENSOR_DATA_LAYOUT         = "{arch}.tensor_data_layout"
-        EXPERT_COUNT               = "{arch}.expert_count"
-        EXPERT_USED_COUNT          = "{arch}.expert_used_count"
-        EXPERT_SHARED_COUNT        = "{arch}.expert_shared_count"
-        EXPERT_WEIGHTS_SCALE       = "{arch}.expert_weights_scale"
-        POOLING_TYPE               = "{arch}.pooling_type"
-        LOGIT_SCALE                = "{arch}.logit_scale"
+        VOCAB_SIZE                        = "{arch}.vocab_size"
+        CONTEXT_LENGTH                    = "{arch}.context_length"
+        EMBEDDING_LENGTH                  = "{arch}.embedding_length"
+        BLOCK_COUNT                       = "{arch}.block_count"
+        LEADING_DENSE_BLOCK_COUNT         = "{arch}.leading_dense_block_count"
+        FEED_FORWARD_LENGTH               = "{arch}.feed_forward_length"
+        EXPERT_FEED_FORWARD_LENGTH        = "{arch}.expert_feed_forward_length"
+        EXPERT_SHARED_FEED_FORWARD_LENGTH = "{arch}.expert_shared_feed_forward_length"
+        USE_PARALLEL_RESIDUAL             = "{arch}.use_parallel_residual"
+        TENSOR_DATA_LAYOUT                = "{arch}.tensor_data_layout"
+        EXPERT_COUNT                      = "{arch}.expert_count"
+        EXPERT_USED_COUNT                 = "{arch}.expert_used_count"
+        EXPERT_SHARED_COUNT               = "{arch}.expert_shared_count"
+        EXPERT_WEIGHTS_SCALE              = "{arch}.expert_weights_scale"
+        POOLING_TYPE                      = "{arch}.pooling_type"
+        LOGIT_SCALE                       = "{arch}.logit_scale"
 
     class Attention:
         HEAD_COUNT        = "{arch}.attention.head_count"
diff --git a/gguf-py/gguf/gguf_writer.py b/gguf-py/gguf/gguf_writer.py
index ed56abfb3..a697f657b 100644
--- a/gguf-py/gguf/gguf_writer.py
+++ b/gguf-py/gguf/gguf_writer.py
@@ -394,6 +394,9 @@ class GGUFWriter:
     def add_expert_feed_forward_length(self, length: int) -> None:
         self.add_uint32(Keys.LLM.EXPERT_FEED_FORWARD_LENGTH.format(arch=self.arch), length)
 
+    def add_expert_shared_feed_forward_length(self, length: int) -> None:
+        self.add_uint32(Keys.LLM.EXPERT_SHARED_FEED_FORWARD_LENGTH.format(arch=self.arch), length)
+
     def add_parallel_residual(self, use: bool) -> None:
         self.add_bool(Keys.LLM.USE_PARALLEL_RESIDUAL.format(arch=self.arch), use)
 
diff --git a/llama.cpp b/llama.cpp
index 619487515..e06c851ad 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -286,6 +286,7 @@ enum llm_kv {
     LLM_KV_LEADING_DENSE_BLOCK_COUNT,
     LLM_KV_FEED_FORWARD_LENGTH,
     LLM_KV_EXPERT_FEED_FORWARD_LENGTH,
+    LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH,
     LLM_KV_USE_PARALLEL_RESIDUAL,
     LLM_KV_TENSOR_DATA_LAYOUT,
     LLM_KV_EXPERT_COUNT,
@@ -364,21 +365,22 @@ static const std::map<llm_kv, const char *> LLM_KV_NAMES = {
     { LLM_KV_GENERAL_SOURCE_URL,            "general.source.url"                    },
     { LLM_KV_GENERAL_SOURCE_HF_REPO,        "general.source.huggingface.repository" },
 
-    { LLM_KV_VOCAB_SIZE,                    "%s.vocab_size"                 },
-    { LLM_KV_CONTEXT_LENGTH,                "%s.context_length"             },
-    { LLM_KV_EMBEDDING_LENGTH,              "%s.embedding_length"           },
-    { LLM_KV_BLOCK_COUNT,                   "%s.block_count"                },
-    { LLM_KV_LEADING_DENSE_BLOCK_COUNT,     "%s.leading_dense_block_count"  },
-    { LLM_KV_FEED_FORWARD_LENGTH,           "%s.feed_forward_length"        },
-    { LLM_KV_EXPERT_FEED_FORWARD_LENGTH,    "%s.expert_feed_forward_length" },
-    { LLM_KV_USE_PARALLEL_RESIDUAL,         "%s.use_parallel_residual"      },
-    { LLM_KV_TENSOR_DATA_LAYOUT,            "%s.tensor_data_layout"         },
-    { LLM_KV_EXPERT_COUNT,                  "%s.expert_count"               },
-    { LLM_KV_EXPERT_USED_COUNT,             "%s.expert_used_count"          },
-    { LLM_KV_EXPERT_SHARED_COUNT,           "%s.expert_shared_count"        },
-    { LLM_KV_EXPERT_WEIGHTS_SCALE,          "%s.expert_weights_scale"       },
-    { LLM_KV_POOLING_TYPE ,                 "%s.pooling_type"               },
-    { LLM_KV_LOGIT_SCALE,                   "%s.logit_scale"                },
+    { LLM_KV_VOCAB_SIZE,                        "%s.vocab_size"                        },
+    { LLM_KV_CONTEXT_LENGTH,                    "%s.context_length"                    },
+    { LLM_KV_EMBEDDING_LENGTH,                  "%s.embedding_length"                  },
+    { LLM_KV_BLOCK_COUNT,                       "%s.block_count"                       },
+    { LLM_KV_LEADING_DENSE_BLOCK_COUNT,         "%s.leading_dense_block_count"         },
+    { LLM_KV_FEED_FORWARD_LENGTH,               "%s.feed_forward_length"               },
+    { LLM_KV_EXPERT_FEED_FORWARD_LENGTH,        "%s.expert_feed_forward_length"        },
+    { LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, "%s.expert_shared_feed_forward_length" },
+    { LLM_KV_USE_PARALLEL_RESIDUAL,             "%s.use_parallel_residual"             },
+    { LLM_KV_TENSOR_DATA_LAYOUT,                "%s.tensor_data_layout"                },
+    { LLM_KV_EXPERT_COUNT,                      "%s.expert_count"                      },
+    { LLM_KV_EXPERT_USED_COUNT,                 "%s.expert_used_count"                 },
+    { LLM_KV_EXPERT_SHARED_COUNT,               "%s.expert_shared_count"               },
+    { LLM_KV_EXPERT_WEIGHTS_SCALE,              "%s.expert_weights_scale"              },
+    { LLM_KV_POOLING_TYPE ,                     "%s.pooling_type"                      },
+    { LLM_KV_LOGIT_SCALE,                       "%s.logit_scale"                       },
 
     { LLM_KV_ATTENTION_HEAD_COUNT,          "%s.attention.head_count"             },
     { LLM_KV_ATTENTION_HEAD_COUNT_KV,       "%s.attention.head_count_kv"          },
@@ -1970,6 +1972,7 @@ struct llama_hparams {
     uint32_t n_lora_q = 0;
     uint32_t n_lora_kv = 0;
     uint32_t n_ff_exp = 0;
+    uint32_t n_ff_shexp = 0;
     uint32_t n_expert_shared = 0;
     float    expert_weights_scale = 0.0;
 
@@ -2018,6 +2021,7 @@ struct llama_hparams {
         if (this->n_lora_q           != other.n_lora_q)           return true;
         if (this->n_lora_kv          != other.n_lora_kv)          return true;
         if (this->n_ff_exp           != other.n_ff_exp)           return true;
+        if (this->n_ff_shexp         != other.n_ff_shexp)         return true;
         if (this->n_expert_shared    != other.n_expert_shared)    return true;
 
         if (this->rope_finetuned  != other.rope_finetuned)  return true;
@@ -4455,6 +4459,9 @@ static void llm_load_hparams(
             } break;
         case LLM_ARCH_QWEN2MOE:
             {
+                ml.get_key(LLM_KV_EXPERT_FEED_FORWARD_LENGTH, hparams.n_ff_exp, false);
+                ml.get_key(LLM_KV_EXPERT_SHARED_FEED_FORWARD_LENGTH, hparams.n_ff_shexp, false);
+
                 ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
                 switch (hparams.n_layer) {
                     case 24: model.type = e_model::MODEL_A2_7B; break;
@@ -5240,6 +5247,11 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
         LLAMA_LOG_INFO("%s: expert_weights_scale = %.1f\n",   __func__, hparams.expert_weights_scale);
         LLAMA_LOG_INFO("%s: rope_yarn_log_mul    = %.4f\n",   __func__, hparams.rope_yarn_log_mul);
     }
+
+    if (model.arch == LLM_ARCH_QWEN2MOE) {
+        LLAMA_LOG_INFO("%s: n_ff_exp         = %d\n",     __func__, hparams.n_ff_exp);
+        LLAMA_LOG_INFO("%s: n_ff_shexp       = %d\n",     __func__, hparams.n_ff_shexp);
+    }
 }
 
 // Returns false if cancelled by progress_callback
@@ -6026,16 +6038,17 @@ static bool llm_load_tensors(
                         GGML_ASSERT(hparams.n_expert_used > 0);
 
                         // MoE branch
-                        auto n_ff_exp = n_ff / hparams.n_expert_used;
+                        auto n_ff_exp = hparams.n_ff_exp ? hparams.n_ff_exp : n_ff / hparams.n_expert_used;
                         layer.ffn_gate_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_EXPS, "weight", i), {  n_embd, n_ff_exp, n_expert});
                         layer.ffn_down_exps = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_EXPS, "weight", i), {n_ff_exp,   n_embd, n_expert});
                         layer.ffn_up_exps   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_EXPS,   "weight", i), {  n_embd, n_ff_exp, n_expert});
 
                         // Shared expert branch
+                        auto n_ff_shexp = hparams.n_ff_shexp ? hparams.n_ff_shexp : n_ff;
                         layer.ffn_gate_inp_shexp = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE_INP_SHEXP, "weight", i), {n_embd});
-                        layer.ffn_gate_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd,   n_ff});
-                        layer.ffn_down_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {  n_ff, n_embd});
-                        layer.ffn_up_shexp   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd,   n_ff});
+                        layer.ffn_gate_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE_SHEXP, "weight", i), {n_embd, n_ff_shexp});
+                        layer.ffn_down_shexp = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN_SHEXP, "weight", i), {n_ff_shexp, n_embd});
+                        layer.ffn_up_shexp   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP_SHEXP,   "weight", i), {n_embd, n_ff_shexp});
                     }
                 } break;
             case LLM_ARCH_PHI2:

From e6ecc2be470e3c5c6c5c9d8b90aa83a1f7725084 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 18 Jun 2024 09:37:20 +0300
Subject: [PATCH 096/131] whisper : use ggml_backend_sched (whisper/2239)

* whisper : use ggml_backend_sched (wip)

* use sched in whisper_allocr

* whisper : single backend in whisper_context

* whisper : remove whisper_state->backends_used

* whisper : remove whisper_context->backend

* whisper : reset scheduler after init

* whisper : fix external encoder (e.g. CoreML)

* whisper : cleanup

* whisper : handle null GPU buffer types + fix sycl

---------

Co-authored-by: slaren <slarengh@gmail.com>
---
 ggml-backend.c | 15 +++++++++++++--
 ggml-backend.h |  3 +++
 2 files changed, 16 insertions(+), 2 deletions(-)

diff --git a/ggml-backend.c b/ggml-backend.c
index 26dce7f72..13c71c310 100644
--- a/ggml-backend.c
+++ b/ggml-backend.c
@@ -1706,14 +1706,16 @@ static void ggml_backend_sched_split_graph(ggml_backend_sched_t sched, struct gg
 static bool ggml_backend_sched_alloc_splits(ggml_backend_sched_t sched) {
     bool backend_ids_changed = false;
     for (int i = 0; i < sched->graph->n_nodes; i++) {
-        if (sched->node_backend_ids[i] != sched->prev_node_backend_ids[i]) {
+        if (sched->node_backend_ids[i] != sched->prev_node_backend_ids[i] &&
+            sched->bufts[sched->node_backend_ids[i]] != sched->bufts[sched->prev_node_backend_ids[i]]) {
             backend_ids_changed = true;
             break;
         }
     }
     if (!backend_ids_changed) {
         for (int i = 0; i < sched->graph->n_leafs; i++) {
-            if (sched->leaf_backend_ids[i] != sched->prev_leaf_backend_ids[i]) {
+            if (sched->leaf_backend_ids[i] != sched->prev_leaf_backend_ids[i] &&
+                sched->bufts[sched->leaf_backend_ids[i]] != sched->bufts[sched->prev_leaf_backend_ids[i]]) {
                 backend_ids_changed = true;
                 break;
             }
@@ -1977,6 +1979,15 @@ int ggml_backend_sched_get_n_copies(ggml_backend_sched_t sched) {
     return sched->n_copies;
 }
 
+int ggml_backend_sched_get_n_backends(ggml_backend_sched_t sched) {
+    return sched->n_backends;
+}
+
+ggml_backend_t ggml_backend_sched_get_backend(ggml_backend_sched_t sched, int i) {
+    GGML_ASSERT(i >= 0 && i < sched->n_backends);
+    return sched->backends[i];
+}
+
 size_t ggml_backend_sched_get_buffer_size(ggml_backend_sched_t sched, ggml_backend_t backend) {
     int backend_index = ggml_backend_sched_backend_id(sched, backend);
     GGML_ASSERT(backend_index >= 0 && backend_index < sched->n_backends);
diff --git a/ggml-backend.h b/ggml-backend.h
index 47fd81475..4a38eeb5c 100644
--- a/ggml-backend.h
+++ b/ggml-backend.h
@@ -182,6 +182,9 @@ extern "C" {
     // Initialize backend buffers from a measure graph
     GGML_API bool                 ggml_backend_sched_reserve(ggml_backend_sched_t sched, struct ggml_cgraph * measure_graph);
 
+    GGML_API int                  ggml_backend_sched_get_n_backends(ggml_backend_sched_t sched);
+    GGML_API ggml_backend_t       ggml_backend_sched_get_backend(ggml_backend_sched_t sched, int i);
+
     // Get the number of splits of the last graph
     GGML_API int                  ggml_backend_sched_get_n_splits(ggml_backend_sched_t sched);
     GGML_API int                  ggml_backend_sched_get_n_copies(ggml_backend_sched_t sched);

From 5326bcceeb7dd34f16d0fe61b134d1e074a8e65d Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Tue, 18 Jun 2024 09:50:45 +0300
Subject: [PATCH 097/131] ggml : sync

---
 scripts/sync-ggml.last | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/scripts/sync-ggml.last b/scripts/sync-ggml.last
index 5042f82ae..b6c57ec5e 100644
--- a/scripts/sync-ggml.last
+++ b/scripts/sync-ggml.last
@@ -1 +1 @@
-2aae01fd9b8f9399f343cf18f46f38996ef52e2c
+5653a195935ea3ac54652644c9daf154dbc1571b

From 1193778105c9a81bd38f72c61aaafbaf85dc9c04 Mon Sep 17 00:00:00 2001
From: Abheek Gulati <abheekg@hotmail.com>
Date: Mon, 17 Jun 2024 23:57:41 -0700
Subject: [PATCH 098/131] readme : update UI list (#7943)

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 54859946d..40793c8ea 100644
--- a/README.md
+++ b/README.md
@@ -209,6 +209,7 @@ Unless otherwise noted these projects are open-source with permissive licensing:
 - [eva](https://github.com/ylsdamxssjxxdd/eva) (MIT)
 - [AI Sublime Text plugin](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (MIT)
 - [AIKit](https://github.com/sozercan/aikit) (MIT)
+- [LARS - The LLM & Advanced Referencing Solution](https://github.com/abgulati/LARS) (AGPL)
 
 *(to have a project listed here, it should clearly state that it depends on `llama.cpp`)*
 

From b96f9afb0d58b003ac8d1d0c94cd99393a3bc437 Mon Sep 17 00:00:00 2001
From: Frank Mai <thxcode0824@gmail.com>
Date: Tue, 18 Jun 2024 15:11:40 +0800
Subject: [PATCH 099/131] chore: clean useless beam search param (#7985)

Signed-off-by: thxCode <thxcode0824@gmail.com>
---
 common/common.h | 1 -
 1 file changed, 1 deletion(-)

diff --git a/common/common.h b/common/common.h
index 58ed72f43..9a1dc4a2f 100644
--- a/common/common.h
+++ b/common/common.h
@@ -73,7 +73,6 @@ struct gpt_params {
     int32_t n_gpu_layers_draft    =    -1; // number of layers to store in VRAM for the draft model (-1 - use default)
     int32_t main_gpu              =     0; // the GPU that is used for scratch and small tensors
     float   tensor_split[128]     =   {0}; // how split tensors should be distributed across GPUs
-    int32_t n_beams               =     0; // if non-zero then use beam search of given width.
     int32_t grp_attn_n            =     1; // group-attention factor
     int32_t grp_attn_w            =   512; // group-attention width
     int32_t n_print               =    -1; // print token count every n tokens (-1 = disabled)

From 61665277afde2add00c0d387acb94ed5feb95917 Mon Sep 17 00:00:00 2001
From: Ulrich Drepper <drepper@gmail.com>
Date: Tue, 18 Jun 2024 14:00:14 +0200
Subject: [PATCH 100/131] Allow compiling with CUDA without CUDA runtime
 installed (#7989)

On hosts which are not prepared/dedicated to execute code using CUDA
it is still possible to compile llama.cpp with CUDA support by just
installing the development packages.  Missing are the runtime
libraries like /usr/lib64/libcuda.so* and currently the link step
will fail.

The development environment is prepared for such situations.  There
are stub libraries for all the CUDA libraries available in the
$(CUDA_PATH)/lib64/stubs directory.  Adding this directory to the end
of the search path will not change anything for environments which
currently work fine but will enable compiling llama.cpp also in case
the runtime code is not available.
---
 Makefile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Makefile b/Makefile
index f94ee3933..dddf647cd 100644
--- a/Makefile
+++ b/Makefile
@@ -507,7 +507,7 @@ ifdef LLAMA_CUDA
 		CUDA_PATH ?= /usr/local/cuda
 	endif
 	MK_CPPFLAGS  += -DGGML_USE_CUDA -I$(CUDA_PATH)/include -I$(CUDA_PATH)/targets/$(UNAME_M)-linux/include -DGGML_CUDA_USE_GRAPHS
-	MK_LDFLAGS   += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L$(CUDA_PATH)/lib64 -L/usr/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L/usr/lib/wsl/lib
+	MK_LDFLAGS   += -lcuda -lcublas -lculibos -lcudart -lcublasLt -lpthread -ldl -lrt -L$(CUDA_PATH)/lib64 -L/usr/lib64 -L$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib -L$(CUDA_PATH)/lib64/stubs -L/usr/lib/wsl/lib
 	OBJS         += ggml-cuda.o
 	OBJS         += $(patsubst %.cu,%.o,$(wildcard ggml-cuda/*.cu))
 	OBJS         += $(OBJS_CUDA_TEMP_INST)

From 84f6de17f6a8602e7ff7f7c7bda36a73f510a2dd Mon Sep 17 00:00:00 2001
From: jojorne <jojorne@users.noreply.github.com>
Date: Tue, 18 Jun 2024 09:18:32 -0300
Subject: [PATCH 101/131] Fix no gcc pragma on Windows (#7751)

---
 sgemm.cpp | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/sgemm.cpp b/sgemm.cpp
index 40ba9d7e9..bbe263ddd 100644
--- a/sgemm.cpp
+++ b/sgemm.cpp
@@ -43,8 +43,10 @@
 // [1] J. Tunney, ‘LLaMA Now Goes Faster on CPUs’, Mar. 2024. [Online].
 //     Available: https://justine.lol/matmul/. [Accessed: 29-Mar-2024].
 
+#if defined(__GNUC__)
 #pragma GCC diagnostic ignored "-Wpedantic"
 #pragma GCC diagnostic ignored "-Wignored-attributes"
+#endif
 
 #include "sgemm.h"
 #include "ggml-impl.h"

From 91c188d6c296bd3384f2a02a83b71187aa3d18b3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Sigbj=C3=B8rn=20Skj=C3=A6ret?= <sigbjorn.skjaeret@scala.com>
Date: Tue, 18 Jun 2024 14:19:45 +0200
Subject: [PATCH 102/131] Only use FIM middle token if it exists (#7648)

* Only use FIM middle if it exists

* Only use FIM middle if it exists
---
 examples/infill/infill.cpp | 13 +++++++++++--
 examples/server/server.cpp |  7 ++++++-
 2 files changed, 17 insertions(+), 3 deletions(-)

diff --git a/examples/infill/infill.cpp b/examples/infill/infill.cpp
index 0e4ec79c6..3e82e4a81 100644
--- a/examples/infill/infill.cpp
+++ b/examples/infill/infill.cpp
@@ -223,7 +223,11 @@ int main(int argc, char ** argv) {
     inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
     embd_inp = inp_pfx;
     embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
-    embd_inp.push_back(llama_token_middle(model));
+
+    const llama_token middle_token = llama_token_middle(model);
+    if (middle_token >= 0) {
+        embd_inp.push_back(middle_token);
+    }
 
     LOG("prefix: \"%s\"\n", log_tostr(params.input_prefix));
     LOG("suffix: \"%s\"\n", log_tostr(params.input_suffix));
@@ -528,7 +532,12 @@ int main(int argc, char ** argv) {
                 inp_sfx.insert(inp_sfx.begin(), llama_token_suffix(model));
                 embd_inp = inp_pfx;
                 embd_inp.insert(embd_inp.end(), inp_sfx.begin(), inp_sfx.end());
-                embd_inp.push_back(llama_token_middle(model));
+
+                const llama_token middle_token = llama_token_middle(model);
+                if (middle_token >= 0) {
+                    embd_inp.push_back(middle_token);
+                }
+
                 embd.clear();
                 n_remain = params.n_predict;
                 n_past = 0;
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 919078f2b..ec59307b2 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -2038,7 +2038,12 @@ struct server_context {
                             prefix_tokens.insert(prefix_tokens.begin(), llama_token_bos(model)); // always add BOS
                             prefix_tokens.insert(prefix_tokens.end(),   llama_token_suffix(model));
                             prefix_tokens.insert(prefix_tokens.end(),   suffix_tokens.begin(), suffix_tokens.end());
-                            prefix_tokens.push_back(llama_token_middle(model));
+
+                            const llama_token middle_token = llama_token_middle(model);
+                            if (middle_token >= 0) {
+                                prefix_tokens.push_back(middle_token);
+                            }
+
                             prompt_tokens = prefix_tokens;
                         } else {
                             prompt_tokens = tokenize(slot.prompt, system_prompt.empty()); // add BOS if there isn't system prompt

From 37bef8943312d91183ff06d8f1214082a17344a5 Mon Sep 17 00:00:00 2001
From: jaime-m-p <167997752+jaime-m-p@users.noreply.github.com>
Date: Tue, 18 Jun 2024 18:40:52 +0200
Subject: [PATCH 103/131] tokenizer : BPE fixes (#7530)

* Random test: add_bos_token, add_eos_token
* Random test: add BPE models for testing
* Custom regex split fails with codepoint 0
* Fix falcon punctuation regex
* Refactor llm_tokenizer_bpe: move code to constructor
* Move 'add_special_bos/eos' logic to llm_tokenizer_bpe
* Move tokenizer flags to vocab structure.
* Default values for special_add_bos/eos
* Build vocab.special_tokens_cache using vocab token types
* Generalize 'jina-v2' per token attributes
* Fix unicode whitespaces (deepseek-coder, deepseek-llm)
* Skip missing byte tokens (falcon)
* Better unicode data generation
* Replace char32_t with uint32_t
---
 llama.cpp                      |  309 +++---
 scripts/gen-unicode-data.py    |  176 ++--
 tests/test-tokenizer-random.py |  170 +++-
 unicode-data.cpp               | 1652 ++++++++++++++++----------------
 unicode.cpp                    |   29 +-
 5 files changed, 1283 insertions(+), 1053 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index e06c851ad..8818c6928 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -2310,16 +2310,17 @@ struct llama_vocab {
     id special_cls_id  = -1;
     id special_mask_id = -1;
 
-    int special_add_bos = -1; // -1 unknown, 1 add, 0 don't add.
-    int special_add_eos = -1; // -1 unknown, 1 add, 0 don't add.
-
     id linefeed_id       = 13;
     id special_prefix_id = -1;
     id special_suffix_id = -1;
     id special_middle_id = -1;
     id special_eot_id    = -1; // TODO: move above after "eos_id", and here add "file separator" token
 
-    bool add_space_prefix = true;
+    // tokenizer flags
+    bool tokenizer_add_space_prefix = true;
+    bool tokenizer_add_bos          = false;
+    bool tokenizer_add_eos          = false;
+    bool tokenizer_ignore_merges    = false;
 
     int find_bpe_rank(const std::string & token_left, const std::string & token_right) const {
         GGML_ASSERT(token_left.find(' ') == std::string::npos);
@@ -4770,7 +4771,7 @@ static void llm_load_vocab(
 
             const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
             if (add_space_prefix_keyidx != -1) {
-                vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
+                vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
             } // The default value of add_space_prefix is true.
         } else if (tokenizer_model == "bert") {
             vocab.type = LLAMA_VOCAB_TYPE_WPM;
@@ -4783,13 +4784,13 @@ static void llm_load_vocab(
             vocab.special_pad_id  = 0;
             vocab.special_cls_id  = 101;
             vocab.special_mask_id = 103;
-            vocab.add_space_prefix = false;
+            vocab.tokenizer_add_space_prefix = false;
         } else if (tokenizer_model == "gpt2") {
             vocab.type = LLAMA_VOCAB_TYPE_BPE;
 
             const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
             if (add_space_prefix_keyidx != -1) {
-                vocab.add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
+                vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
             }
 
             // read bpe merges and populate bpe ranks
@@ -4847,6 +4848,8 @@ static void llm_load_vocab(
                     tokenizer_pre == "llama-v3" ||
                     tokenizer_pre == "llama-bpe") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_LLAMA3;
+                vocab.tokenizer_ignore_merges = true;
+                vocab.tokenizer_add_bos = true;
             } else if (
                     tokenizer_pre == "deepseek-llm") {
                 vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM;
@@ -4897,6 +4900,14 @@ static void llm_load_vocab(
             } else {
                 throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
             }
+        } else if (vocab.type == LLAMA_VOCAB_TYPE_SPM) {
+            vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
+            vocab.tokenizer_add_bos = true;
+            vocab.tokenizer_add_eos = false;
+        } else if (vocab.type == LLAMA_VOCAB_TYPE_WPM) {
+            vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
+            vocab.tokenizer_add_bos = true;
+            vocab.tokenizer_add_eos = false;
         } else {
             vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
         }
@@ -5041,10 +5052,10 @@ static void llm_load_vocab(
             bool temp = true;
 
             if (ml.get_key(LLM_KV_TOKENIZER_ADD_BOS, temp, false)) {
-                vocab.special_add_bos = int(temp);
+                vocab.tokenizer_add_bos = temp;
             }
             if (ml.get_key(LLM_KV_TOKENIZER_ADD_EOS, temp, false)) {
-                vocab.special_add_eos = int(temp);
+                vocab.tokenizer_add_eos = temp;
             }
         }
 
@@ -5144,7 +5155,7 @@ static void llm_load_vocab(
         );
 
         // set attributes by model/tokenizer name
-        if (_contains_any(tokenizer_pre, {"jina-v2-es", "jina-v2-de"})) {
+        if (_contains_any(tokenizer_pre, {"jina-v2-de", "jina-v2-es", "jina-v2-code"})) {
             _set_token_attr("<mask>", LLAMA_TOKEN_ATTR_LSTRIP, true);
         } else if (_contains_any(model_name, {"phi-3", "phi3"})) {
             for (auto id : vocab.cache_special_tokens) {
@@ -13158,112 +13169,142 @@ struct llm_bigram_bpe {
 };
 
 struct llm_tokenizer_bpe {
-    llm_tokenizer_bpe(const llama_vocab & vocab): vocab(vocab) {}
+    llm_tokenizer_bpe(const llama_vocab & vocab): vocab(vocab) {
+        GGML_ASSERT(vocab.type == LLAMA_VOCAB_TYPE_BPE);
+        switch (vocab.type_pre) {
+            case LLAMA_VOCAB_PRE_TYPE_LLAMA3:
+                regex_exprs = {
+                    // original regex from tokenizer.json
+                    //"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+
+                    // adapted: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2080233989
+                    "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_DBRX:
+            case LLAMA_VOCAB_PRE_TYPE_SMAUG:
+                regex_exprs = {
+                    // same as llama3
+                    "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM:
+                regex_exprs = {
+                    "[\r\n]",
+                    "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ𐐀-𐑏𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+",
+                    "\\s?[!-/:-~！-／：-～‘-‟　-。]+",
+                    "\\s+$",
+                    "[一-龥ࠀ-一가-퟿]+",
+                    "\\p{N}+",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER:
+                regex_exprs = {
+                    "[\r\n]",
+                    "\\s?\\p{L}+",
+                    "\\s?\\p{P}+",
+                    "[一-龥ࠀ-一가-퟿]+",
+                    "\\p{N}",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_FALCON:
+                regex_exprs = {
+                    "[\\p{P}\\$\\+<=>\\^~\\|`]+",
+                    "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
+                    "[0-9][0-9][0-9]",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_MPT:
+                // TODO: MPT pre-tokenization regexes are unknown
+                //       the following are close, but not exact. run the following:
+                //       ./bin/test-tokenizer-0 ../models/ggml-vocab-mpt.gguf
+                GGML_ASSERT("MPT pre-tokenization regexes are unknown - fixes needed");
+                regex_exprs = {
+                    "\\s?\\p{L}+",
+                    "\\s?\\p{P}+",
+                    "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_STARCODER:
+            case LLAMA_VOCAB_PRE_TYPE_REFACT:
+            case LLAMA_VOCAB_PRE_TYPE_COMMAND_R:
+                regex_exprs = {
+                    "\\p{N}",
+                    "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_GPT2:
+            case LLAMA_VOCAB_PRE_TYPE_OLMO:
+                regex_exprs = {
+                    "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_STABLELM2:
+            case LLAMA_VOCAB_PRE_TYPE_QWEN2:
+                regex_exprs = {
+                    // original regex from tokenizer.json
+                    // "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
+                    "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+                };
+                break;
+            case LLAMA_VOCAB_PRE_TYPE_PORO:
+                regex_exprs = {
+                    " ?[^(\\s|.,!?…。，、।۔،)]+",
+                };
+                break;
+            default:
+                // default regex for BPE tokenization pre-processing
+                regex_exprs = {
+                    "[\\p{P}\\$\\+<=>\\^~\\|]+",
+                    "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
+                    "\\p{N}+",
+                    "[0-9][0-9][0-9]",
+                };
+                break;
+        }
+    }
+
+    void append(const llama_vocab::id token_id, std::vector<llama_vocab::id> & output) const {
+        output.push_back(token_id);
+    }
+
+    bool append_bos(std::vector<llama_vocab::id> & output) const {
+        if (vocab.tokenizer_add_bos) {
+            GGML_ASSERT(vocab.special_bos_id != -1);
+            output.push_back(vocab.special_bos_id);
+            return true;
+        }
+        return false;
+    }
+
+    bool append_eos(std::vector<llama_vocab::id> & output) const {
+        if (vocab.tokenizer_add_eos) {
+            GGML_ASSERT(vocab.special_eos_id != -1);
+            output.push_back(vocab.special_eos_id);
+            return true;
+        }
+        return false;
+    }
+
+    void check_double_bos_eos(const std::vector<llama_vocab::id> & output) const {
+        if (vocab.tokenizer_add_bos && output.size() >= 2 && output[1] == vocab.special_bos_id) {
+            LLAMA_LOG_WARN(
+                "%s: Added a BOS token to the prompt as specified by the model but the prompt "
+                "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
+                "Are you sure this is what you want?\n", __FUNCTION__);
+        }
+        if (vocab.tokenizer_add_eos && output.size() >= 2 && *(output.end()-2) == vocab.special_eos_id) {
+            LLAMA_LOG_WARN(
+                "%s: Added a EOS token to the prompt as specified by the model but the prompt "
+                "also ends with a EOS token. So now the final prompt ends with 2 EOS tokens. "
+                "Are you sure this is what you want?\n", __FUNCTION__);
+        }
+    }
 
     void tokenize(const std::string & text, std::vector<llama_vocab::id> & output) {
         int final_prev_index = -1;
-        bool ignore_merges = false;
 
-        std::vector<std::string> word_collection;
-        switch (vocab.type) {
-            case LLAMA_VOCAB_TYPE_BPE:
-                switch (vocab.type_pre) {
-                    case LLAMA_VOCAB_PRE_TYPE_LLAMA3:
-                        ignore_merges = true;
-                        word_collection = unicode_regex_split(text, {
-                            // original regex from tokenizer.json
-                            //"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
-
-                            // adapted: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2080233989
-                            "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_DBRX:
-                    case LLAMA_VOCAB_PRE_TYPE_SMAUG:
-                        word_collection = unicode_regex_split(text, {
-                            // same as llama3
-                            "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_LLM:
-                        word_collection = unicode_regex_split(text, {
-                            "[\r\n]",
-                            "\\s?[A-Za-zµÀ-ÖØ-öø-ƺƼ-ƿDŽ-ʓʕ-ʯͰ-ͳͶͷͻ-ͽͿΆΈ-ΊΌΎ-ΡΣ-ϵϷ-ҁҊ-ԯԱ-ՖႠ-ჅᎠ-Ᏽᏸ-ᏽᲐ-ᲺᲽ-Ჿᴀ-ᴫᵫ-ᵷᵹ-ᶚḀ-ἕἘ-Ἕἠ-ὅὈ-Ὅὐ-ὗὙὛὝὟ-ώᾀ-ᾴᾶ-ᾼιῂ-ῄῆ-ῌῐ-ΐῖ-Ίῠ-Ῥῲ-ῴῶ-ῼℂℇℊ-ℓℕℙ-ℝℤΩℨK-ℭℯ-ℴℹℼ-ℿⅅ-ⅉⅎↃↄⰀ-ⱻⱾ-ⳤⳫ-ⳮⳲⳳꙀ-ꙭꚀ-ꚛꜢ-ꝯꝱ-ꞇꞋ-ꞎꭰ-ꮿff-stﬓ-ﬗＡ-Ｚａ-ｚ𐐀-𐑏𐒰-𐓓𐓘-𐓻𐲀-𐲲𐳀-𐳲𑢠-𑣟𞤀-𞥃]+",
-                            "\\s?[!-/:-~！-／：-～‘-‟　-。]+",
-                            "\\s+$",
-                            "[一-龥ࠀ-一가-퟿]+",
-                            "\\p{N}+",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_DEEPSEEK_CODER:
-                        word_collection = unicode_regex_split(text, {
-                            "[\r\n]",
-                            "\\s?\\p{L}+",
-                            "\\s?\\p{P}+",
-                            "[一-龥ࠀ-一가-퟿]+",
-                            "\\p{N}",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_FALCON:
-                        word_collection = unicode_regex_split(text, {
-                            "[\\p{P}\\$\\+<=>\\^~\\|]+",
-                            "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
-                            "[0-9][0-9][0-9]",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_MPT:
-                        // TODO: MPT pre-tokenization regexes are unknown
-                        //       the following are close, but not exact. run the following:
-                        //       ./bin/test-tokenizer-0 ../models/ggml-vocab-mpt.gguf
-                        GGML_ASSERT("MPT pre-tokenization regexes are unknown - fixes needed");
-                        word_collection = unicode_regex_split(text, {
-                            "\\s?\\p{L}+",
-                            "\\s?\\p{P}+",
-                            "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_STARCODER:
-                    case LLAMA_VOCAB_PRE_TYPE_REFACT:
-                    case LLAMA_VOCAB_PRE_TYPE_COMMAND_R:
-                        word_collection = unicode_regex_split(text, {
-                            "\\p{N}",
-                            "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_GPT2:
-                    case LLAMA_VOCAB_PRE_TYPE_OLMO:
-                        word_collection = unicode_regex_split(text, {
-                            "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_STABLELM2:
-                    case LLAMA_VOCAB_PRE_TYPE_QWEN2:
-                        word_collection = unicode_regex_split(text, {
-                            // original regex from tokenizer.json
-                            // "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
-                            "(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
-                        });
-                        break;
-                    case LLAMA_VOCAB_PRE_TYPE_PORO:
-                        word_collection = unicode_regex_split(text, {
-                            " ?[^(\\s|.,!?…。，、।۔،)]+",
-                        });
-                        break;
-                    default:
-                        // default regex for BPE tokenization pre-processing
-                        word_collection = unicode_regex_split(text, {
-                            "[\\p{P}\\$\\+<=>\\^~\\|]+",
-                            "'s|'t|'re|'ve|'m|'ll|'d| ?\\p{L}+| ?\\p{N}+| ?[^\\s\\p{L}\\p{N}]+|\\s+(?!\\S)",
-                            "\\p{N}+",
-                            "[0-9][0-9][0-9]",
-                        });
-                        break;
-                }
-                break;
-            default:
-                GGML_ASSERT(false);
-                break;
-        }
+        const auto word_collection = unicode_regex_split(text, regex_exprs);
 
         symbols_final.clear();
 
@@ -13274,7 +13315,7 @@ struct llm_tokenizer_bpe {
             int index = 0;
             size_t offset = 0;
 
-            if (ignore_merges && vocab.token_to_id.find(word) != vocab.token_to_id.end()) {
+            if (vocab.tokenizer_ignore_merges && vocab.token_to_id.find(word) != vocab.token_to_id.end()) {
                 symbols.emplace_back(llm_symbol{-1, -1, word.c_str(), word.size()});
                 offset = word.size();
             }
@@ -13355,10 +13396,9 @@ struct llm_tokenizer_bpe {
                     for (auto j = str.begin(); j != str.end(); ++j) {
                         std::string byte_str(1, *j);
                         auto token_multibyte = vocab.token_to_id.find(byte_str);
-                        if (token_multibyte == vocab.token_to_id.end()) {
-                            throw std::runtime_error("ERROR: byte not found in vocab");
+                        if (token_multibyte != vocab.token_to_id.end()) {
+                            output.push_back(token_multibyte->second);
                         }
-                        output.push_back((*token_multibyte).second);
                     }
                 } else {
                     output.push_back((*token).second);
@@ -13397,6 +13437,8 @@ private:
 
     const llama_vocab & vocab;
 
+    std::vector<std::string> regex_exprs;
+
     std::vector<llm_symbol> symbols;
     std::vector<llm_symbol> symbols_final;
 
@@ -13677,7 +13719,7 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
 
                 bool is_prev_special = false;
 
-                if (add_special && vocab.special_add_bos != 0) {
+                if (add_special && vocab.tokenizer_add_bos) {
                     GGML_ASSERT(vocab.special_bos_id != -1);
                     output.push_back(vocab.special_bos_id);
                     is_prev_special = true;
@@ -13687,7 +13729,7 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                     if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
                         auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length);
 
-                        if (vocab.add_space_prefix) {
+                        if (vocab.tokenizer_add_space_prefix) {
                             if (!output.size() || is_prev_special) {  // prefix with space if first token
                                 raw_text = " " + raw_text;
                             }
@@ -13705,23 +13747,24 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                     }
                 }
 
-                if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
+                if (add_special && vocab.tokenizer_add_bos && output.size() >= 2 && output[1] == vocab.special_bos_id) {
                     LLAMA_LOG_WARN(
                         "%s: Added a BOS token to the prompt as specified by the model but the prompt "
                         "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
                         "Are you sure this is what you want?\n", __FUNCTION__);
                 }
 
-                if (add_special && vocab.special_add_eos == 1) {
+                if (add_special && vocab.tokenizer_add_eos) {
                     GGML_ASSERT(vocab.special_eos_id != -1);
                     output.push_back(vocab.special_eos_id);
                 }
             } break;
         case LLAMA_VOCAB_TYPE_BPE:
             {
-                if (add_special && vocab.special_add_bos != 0) {
-                    GGML_ASSERT(vocab.special_bos_id != -1);
-                    output.push_back(vocab.special_bos_id);
+                llm_tokenizer_bpe tokenizer(vocab);
+
+                if (add_special) {
+                    tokenizer.append_bos(output);
                 }
 
                 for (const auto & fragment : fragment_buffer) {
@@ -13731,23 +13774,15 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("TT: (%ld %ld %ld) '%s'\n", raw_text.length(), fragment.offset, fragment.length, raw_text.c_str());
 #endif
-                        llm_tokenizer_bpe tokenizer(vocab);
                         tokenizer.tokenize(raw_text, output);
                     } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN)
-                        output.push_back(fragment.token);
+                        tokenizer.append(fragment.token, output);
                     }
                 }
 
-                if (add_special && vocab.special_add_bos != 0 && output.size() >= 2 && output[1] == vocab.special_bos_id) {
-                    LLAMA_LOG_WARN(
-                        "%s: Added a BOS token to the prompt as specified by the model but the prompt "
-                        "also starts with a BOS token. So now the final prompt starts with 2 BOS tokens. "
-                        "Are you sure this is what you want?\n", __FUNCTION__);
-                }
-
-                if (add_special && vocab.special_add_eos == 1) {
-                    GGML_ASSERT(vocab.special_add_eos != -1);
-                    output.push_back(vocab.special_eos_id);
+                if (add_special) {
+                    tokenizer.append_eos(output);
+                    tokenizer.check_double_bos_eos(output);
                 }
             } break;
         case LLAMA_VOCAB_TYPE_WPM:
@@ -18320,11 +18355,11 @@ llama_token llama_token_nl(const struct llama_model * model) {
 }
 
 int32_t llama_add_bos_token(const struct llama_model * model) {
-    return model->vocab.special_add_bos;
+    return model->vocab.tokenizer_add_bos;
 }
 
 int32_t llama_add_eos_token(const struct llama_model * model) {
-    return model->vocab.special_add_eos;
+    return model->vocab.tokenizer_add_eos;
 }
 
 llama_token llama_token_prefix(const struct llama_model * model) {
diff --git a/scripts/gen-unicode-data.py b/scripts/gen-unicode-data.py
index 744873c2a..890e4d7c2 100644
--- a/scripts/gen-unicode-data.py
+++ b/scripts/gen-unicode-data.py
@@ -1,83 +1,143 @@
-import regex
-import ctypes
+import array
 import unicodedata
-
-
-class CoodepointFlags (ctypes.Structure):
-    _fields_ = [  # see definition in unicode.h
-        ("is_undefined",   ctypes.c_uint16, 1),
-        ("is_number",      ctypes.c_uint16, 1),  # regex: \p{N}
-        ("is_letter",      ctypes.c_uint16, 1),  # regex: \p{L}
-        ("is_separator",   ctypes.c_uint16, 1),  # regex: \p{Z}
-        ("is_accent_mark", ctypes.c_uint16, 1),  # regex: \p{M}
-        ("is_punctuation", ctypes.c_uint16, 1),  # regex: \p{P}
-        ("is_symbol",      ctypes.c_uint16, 1),  # regex: \p{S}
-        ("is_control",     ctypes.c_uint16, 1),  # regex: \p{C}
-    ]
-
-
-assert (ctypes.sizeof(CoodepointFlags) == 2)
+import requests
 
 
 MAX_CODEPOINTS = 0x110000
 
-regex_number      = regex.compile(r'\p{N}')
-regex_letter      = regex.compile(r'\p{L}')
-regex_separator   = regex.compile(r'\p{Z}')
-regex_accent_mark = regex.compile(r'\p{M}')
-regex_punctuation = regex.compile(r'\p{P}')
-regex_symbol      = regex.compile(r'\p{S}')
-regex_control     = regex.compile(r'\p{C}')
-regex_whitespace  = regex.compile(r'\s')
+UNICODE_DATA_URL = "https://www.unicode.org/Public/UCD/latest/ucd/UnicodeData.txt"
 
-codepoint_flags = (CoodepointFlags * MAX_CODEPOINTS)()
+
+# see https://www.unicode.org/L2/L1999/UnicodeData.html
+def unicode_data_iter():
+    res = requests.get(UNICODE_DATA_URL)
+    res.raise_for_status()
+    data = res.content.decode()
+
+    prev = []
+
+    for line in data.splitlines():
+        # ej: 0000;<control>;Cc;0;BN;;;;;N;NULL;;;;
+        line = line.split(";")
+
+        cpt = int(line[0], base=16)
+        assert cpt < MAX_CODEPOINTS
+
+        cpt_lower = int(line[-2] or "0", base=16)
+        assert cpt_lower < MAX_CODEPOINTS
+
+        cpt_upper = int(line[-3] or "0", base=16)
+        assert cpt_upper < MAX_CODEPOINTS
+
+        categ = line[2].strip()
+        assert len(categ) == 2
+
+        bidir = line[4].strip()
+        assert len(categ) == 2
+
+        name = line[1]
+        if name.endswith(", First>"):
+            prev = (cpt, cpt_lower, cpt_upper, categ, bidir)
+            continue
+        if name.endswith(", Last>"):
+            assert prev[1:] == (0, 0, categ, bidir)
+            for c in range(prev[0], cpt):
+                yield (c, cpt_lower, cpt_upper, categ, bidir)
+
+        yield (cpt, cpt_lower, cpt_upper, categ, bidir)
+
+
+# see definition in unicode.h
+CODEPOINT_FLAG_UNDEFINED   = 0x0001  #
+CODEPOINT_FLAG_NUMBER      = 0x0002  # \p{N}
+CODEPOINT_FLAG_LETTER      = 0x0004  # \p{L}
+CODEPOINT_FLAG_SEPARATOR   = 0x0008  # \p{Z}
+CODEPOINT_FLAG_MARK        = 0x0010  # \p{M}
+CODEPOINT_FLAG_PUNCTUATION = 0x0020  # \p{P}
+CODEPOINT_FLAG_SYMBOL      = 0x0040  # \p{S}
+CODEPOINT_FLAG_CONTROL     = 0x0080  # \p{C}
+
+UNICODE_CATEGORY_TO_FLAG = {
+    "Cn": CODEPOINT_FLAG_UNDEFINED,    # Undefined
+    "Cc": CODEPOINT_FLAG_CONTROL,      # Control
+    "Cf": CODEPOINT_FLAG_CONTROL,      # Format
+    "Co": CODEPOINT_FLAG_CONTROL,      # Private Use
+    "Cs": CODEPOINT_FLAG_CONTROL,      # Surrrogate
+    "Ll": CODEPOINT_FLAG_LETTER,       # Lowercase Letter
+    "Lm": CODEPOINT_FLAG_LETTER,       # Modifier Letter
+    "Lo": CODEPOINT_FLAG_LETTER,       # Other Letter
+    "Lt": CODEPOINT_FLAG_LETTER,       # Titlecase Letter
+    "Lu": CODEPOINT_FLAG_LETTER,       # Uppercase Letter
+    "L&": CODEPOINT_FLAG_LETTER,       # Cased Letter
+    "Mc": CODEPOINT_FLAG_MARK,         # Spacing Mark
+    "Me": CODEPOINT_FLAG_MARK,         # Enclosing Mark
+    "Mn": CODEPOINT_FLAG_MARK,         # Nonspacing Mark
+    "Nd": CODEPOINT_FLAG_NUMBER,       # Decimal Number
+    "Nl": CODEPOINT_FLAG_NUMBER,       # Letter Number
+    "No": CODEPOINT_FLAG_NUMBER,       # Other Number
+    "Pc": CODEPOINT_FLAG_PUNCTUATION,  # Connector Punctuation
+    "Pd": CODEPOINT_FLAG_PUNCTUATION,  # Dash Punctuation
+    "Pe": CODEPOINT_FLAG_PUNCTUATION,  # Close Punctuation
+    "Pf": CODEPOINT_FLAG_PUNCTUATION,  # Final Punctuation
+    "Pi": CODEPOINT_FLAG_PUNCTUATION,  # Initial Punctuation
+    "Po": CODEPOINT_FLAG_PUNCTUATION,  # Other Punctuation
+    "Ps": CODEPOINT_FLAG_PUNCTUATION,  # Open Punctuation
+    "Sc": CODEPOINT_FLAG_SYMBOL,       # Currency Symbol
+    "Sk": CODEPOINT_FLAG_SYMBOL,       # Modifier Symbol
+    "Sm": CODEPOINT_FLAG_SYMBOL,       # Math Symbol
+    "So": CODEPOINT_FLAG_SYMBOL,       # Other Symbol
+    "Zl": CODEPOINT_FLAG_SEPARATOR,    # Line Separator
+    "Zp": CODEPOINT_FLAG_SEPARATOR,    # Paragraph Separator
+    "Zs": CODEPOINT_FLAG_SEPARATOR,    # Space Separator
+}
+
+
+codepoint_flags = array.array('H', [CODEPOINT_FLAG_UNDEFINED]) * MAX_CODEPOINTS
 table_whitespace = []
 table_lowercase = []
 table_uppercase = []
 table_nfd = []
 
-for codepoint in range(MAX_CODEPOINTS):
+for (cpt, cpt_lower, cpt_upper, categ, bidir) in unicode_data_iter():
     # convert codepoint to unicode character
-    char = chr(codepoint)
+    char = chr(cpt)
 
-    # regex categories
-    flags = codepoint_flags[codepoint]
-    flags.is_number      = bool(regex_number.match(char))
-    flags.is_letter      = bool(regex_letter.match(char))
-    flags.is_separator   = bool(regex_separator.match(char))
-    flags.is_accent_mark = bool(regex_accent_mark.match(char))
-    flags.is_punctuation = bool(regex_punctuation.match(char))
-    flags.is_symbol      = bool(regex_symbol.match(char))
-    flags.is_control     = bool(regex_control.match(char))
-    flags.is_undefined   = bytes(flags)[0] == 0
-    assert (not flags.is_undefined)
-
-    # whitespaces
-    if bool(regex_whitespace.match(char)):
-        table_whitespace.append(codepoint)
+    # codepoint category flags
+    codepoint_flags[cpt] = UNICODE_CATEGORY_TO_FLAG[categ]
 
     # lowercase conversion
-    lower = ord(char.lower()[0])
-    if codepoint != lower:
-        table_lowercase.append((codepoint, lower))
+    if cpt_lower:
+        table_lowercase.append((cpt, cpt_lower))
 
     # uppercase conversion
-    upper = ord(char.upper()[0])
-    if codepoint != upper:
-        table_uppercase.append((codepoint, upper))
+    if cpt_upper:
+        table_uppercase.append((cpt, cpt_upper))
 
     # NFD normalization
     norm = ord(unicodedata.normalize('NFD', char)[0])
-    if codepoint != norm:
-        table_nfd.append((codepoint, norm))
+    if cpt != norm:
+        table_nfd.append((cpt, norm))
+
+
+# whitespaces, see "<White_Space>" https://www.unicode.org/Public/UCD/latest/ucd/PropList.txt
+table_whitespace.extend(range(0x0009, 0x000D + 1))
+table_whitespace.extend(range(0x2000, 0x200A + 1))
+table_whitespace.extend([0x0020, 0x0085, 0x00A0, 0x1680, 0x2028, 0x2029, 0x202F, 0x205F, 0x3000])
+
+
+# sort by codepoint
+table_whitespace.sort()
+table_lowercase.sort()
+table_uppercase.sort()
+table_nfd.sort()
 
 
 # group ranges with same flags
 ranges_flags = [(0, codepoint_flags[0])]  # start, flags
 for codepoint, flags in enumerate(codepoint_flags):
-    if bytes(flags) != bytes(ranges_flags[-1][1]):
+    if flags != ranges_flags[-1][1]:
         ranges_flags.append((codepoint, flags))
-ranges_flags.append((MAX_CODEPOINTS, CoodepointFlags()))
+ranges_flags.append((MAX_CODEPOINTS, 0x0000))
 
 
 # group ranges with same nfd
@@ -90,8 +150,8 @@ for codepoint, norm in table_nfd:
     ranges_nfd[-1] = (start, codepoint, norm)
 
 
-# Generate 'unicode-data.cpp'
-
+# Generate 'unicode-data.cpp':
+#   python ./scripts//gen-unicode-data.py > unicode-data.cpp
 
 def out(line=""):
     print(line, end='\n')  # noqa
@@ -110,12 +170,12 @@ out("""\
 
 out("const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // start, flags // last=next_start-1")
 for codepoint, flags in ranges_flags:
-    flags = int.from_bytes(bytes(flags), "little")
     out("{0x%06X, 0x%04X}," % (codepoint, flags))
 out("};\n")
 
 out("const std::unordered_set<uint32_t> unicode_set_whitespace = {")
-out(", ".join("0x%06X" % cpt for cpt in table_whitespace))
+for codepoint in table_whitespace:
+    out("0x%06X," % codepoint)
 out("};\n")
 
 out("const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {")
diff --git a/tests/test-tokenizer-random.py b/tests/test-tokenizer-random.py
index 52f589511..a07c52fb3 100644
--- a/tests/test-tokenizer-random.py
+++ b/tests/test-tokenizer-random.py
@@ -11,13 +11,15 @@ import logging
 import argparse
 import subprocess
 import random
+import unicodedata
 
 from typing import Callable, Iterator
 
 import cffi
 from transformers import AutoTokenizer
 
-logger = logging.getLogger("test-tokenizer-random-bpe")
+
+logger = logging.getLogger("test-tokenizer-random")
 
 
 class LibLlama:
@@ -155,9 +157,14 @@ def generator_custom_text_edge_cases() -> Iterator[str]:
         'Cửa Việt',   # llama-3, ignore_merges = true
         '<s>a',       # Phi-3 fail
         '<unk><|endoftext|><s>',  # Phi-3 fail
-        'a\na',       # TODO: Bert fail
-        'a </s> b',   # rstrip phi-3
-        'a <mask> b', # lstrip jina-v2
+        'a\na',            # bert fail
+        '"`',              # falcon
+        ' \u2e4e',         # falcon
+        'a\xa0\xa0\x00b',  # jina-v2-es
+        'one <mask>',      # jina-v2-es  <mask> lstrip=true
+        'a </s> b',        # rstrip phi-3
+        'a <mask> b',      # lstrip jina-v2
+        '\xa0aC',          # deepseek
     ]
 
 
@@ -189,17 +196,23 @@ def generator_random_added_tokens(tokenizer, iterations=100) -> Iterator[str]:
     for m in range(iterations):
         rand.seed(m)
         words = rand.choices(all_tokens, k=500)
-        if words[0] == tokenizer.bos_token:  # skip spam warning of double BOS
+        if words and words[0] == tokenizer.bos_token:  # skip spam warning of double BOS
             while len(words) > 1 and words[1] == tokenizer.bos_token:  # leave one starting BOS
                 words.pop(0)
             if tokenizer.add_bos_token:  # drop all starting BOS
                 words.pop(0)
+        if words and words[-1] == tokenizer.eos_token:  # skip spam warning of double EOS
+            while len(words) > 1 and words[-2] == tokenizer.eos_token:  # leave one trailing EOS
+                words.pop(-1)
+            if tokenizer.add_bos_token:  # drop all trailing EOS
+                words.pop(-1)
         yield "".join(words)
 
 
 def generator_random_chars(iterations=100) -> Iterator[str]:
     """Brute force random text with simple characters"""
 
+    NUM_WORDS = 400
     WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5)
     CHARS = list(sorted(set("""
         ABCDEFGHIJKLMNOPQRSTUVWXYZ
@@ -213,12 +226,50 @@ def generator_random_chars(iterations=100) -> Iterator[str]:
     for m in range(iterations):
         rand.seed(m)
         text = []
-        num_words = rand.randint(300, 400)
-        for i in range(num_words):
+        for _ in range(NUM_WORDS):
             k = rand.randint(1, 7)
             word = rand.choices(CHARS, k=k)
-            space = rand.choice(WHITESPACES)
-            text.append("".join(word) + space)
+            word.append(rand.choice(WHITESPACES))
+            text.append("".join(word))
+        yield "".join(text)
+
+
+def generator_unicodes() -> Iterator[str]:
+    """Iterate unicode characters"""
+
+    MAX_CODEPOINTS = 0x30000  # 0x110000
+
+    def _valid(cpt):
+        if cpt >= 0x30000:  # unassigned and supplement­ary
+            return False
+        if 0x00D800 <= cpt <= 0x00F8FF:  # Surrogates
+            return False
+        if unicodedata.category(chr(cpt)) == "Cn":
+            return False
+        return True
+
+    characters = [chr(cpt) for cpt in range(1, MAX_CODEPOINTS) if _valid(cpt)]
+
+    yield from characters
+
+
+def generator_random_unicodes(iterations=100) -> Iterator[str]:
+    """Brute force random text with unicode characters"""
+
+    NUM_WORDS = 200
+    WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5)
+
+    characters = list(generator_unicodes())
+
+    rand = random.Random()
+    for m in range(iterations):
+        rand.seed(m)
+        text = []
+        for _ in range(NUM_WORDS):
+            k = rand.randint(1, 7)
+            word = rand.choices(characters, k=k)
+            word.append(rand.choice(WHITESPACES))
+            text.append("".join(word))
         yield "".join(text)
 
 
@@ -256,25 +307,7 @@ def generator_random_vocab_words(vocab: list[str], iterations=100) -> Iterator[s
         yield "".join(text)
 
 
-def generator_random_bytes(iterations=100) -> Iterator[str]:
-    """Brute force random bytes"""
-
-    WHITESPACES = list(" " * 20 + "\n" * 5 + "\r\n" * 5 + "\t" * 5)
-
-    rand = random.Random()
-    for m in range(iterations):
-        rand.seed(m)
-        text = []
-        num_words = rand.randint(300, 400)
-        for i in range(num_words):
-            k = rand.randint(1, 8)
-            word = [chr(r) for r in rand.randbytes(k) if r]
-            word.append(rand.choice(WHITESPACES))
-            text.append("".join(word))
-        yield "".join(text)
-
-
-def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, generator: Iterator[str]):
+def compare_tokenizers(func_tokenize1: Callable, func_tokenize2: Callable, generator: Iterator[str]):
 
     def find_first_mismatch(ids1: list[int], ids2: list[int]):
         for i, (a, b) in enumerate(zip(ids1, ids2)):
@@ -284,20 +317,34 @@ def test_compare_tokenizer(func_tokenize1: Callable, func_tokenize2: Callable, g
             return -1
         return min(len(ids1), len(ids2))
 
-    t0 = time.perf_counter()
+    t_tokenizer1 = 0
+    t_tokenizer2 = 0
+    t_start = time.perf_counter()
+    num_errors = 10
+
     logger.info("%s: %s" % (generator.__name__, "ini"))
     for text in generator:
+        # print(repr(text), hex(ord(text[0])), text.encode())
+        t0 = time.perf_counter()
         ids1 = func_tokenize1(text)
+        t1 = time.perf_counter()
         ids2 = func_tokenize2(text)
+        t2 = time.perf_counter()
+        t_tokenizer1 += t1 - t0
+        t_tokenizer2 += t2 - t1
         if ids1 != ids2:
             i = find_first_mismatch(ids1, ids2)
             ids1 = list(ids1)[max(0, i - 2) : i + 5 + 1]
             ids2 = list(ids2)[max(0, i - 2) : i + 5 + 1]
-            logger.info(" TokenIDs: " + str(ids1))
-            logger.info(" Expected: " + str(ids2))
-            raise Exception()
-    t1 = time.perf_counter()
-    logger.info("%s: end, time: %.3f secs" % (generator.__name__, t1 - t0))
+            logger.error(" TokenIDs: " + str(ids1))
+            logger.error(" Expected: " + str(ids2))
+            # raise Exception()
+            num_errors += 1
+            if num_errors > 10:
+                break
+
+    t_total = time.perf_counter() - t_start
+    logger.info("%s: end,  tok1: %.3f  tok2: %.3f  total: %.3f" % (generator.__name__, t_tokenizer1, t_tokenizer2, t_total))
 
 
 def main(argv: list[str] = None):
@@ -307,7 +354,8 @@ def main(argv: list[str] = None):
     parser.add_argument("--verbose", action="store_true", help="increase output verbosity")
     args = parser.parse_args(argv)
 
-    logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO)
+    logging.basicConfig(level = logging.DEBUG if args.verbose else logging.INFO)
+    logger.info(f"VOCABFILE: '{args.vocab_file}'")
 
     model = LibLlamaModel(LibLlama(), args.vocab_file, mparams=dict(vocab_only=True), cparams=dict(n_ctx=4096))
     tokenizer = AutoTokenizer.from_pretrained(args.dir_tokenizer)
@@ -321,18 +369,22 @@ def main(argv: list[str] = None):
     ids = func_tokenize2("a")
     assert 1 <= len(ids) <= 3
     add_bos_token = len(ids) > 1 and tokenizer.bos_token_id == ids[0]
+    add_eos_token = len(ids) > 1 and tokenizer.eos_token_id == ids[-1]
     tokenizer.add_bos_token = getattr(tokenizer, "add_bos_token", add_bos_token)
+    tokenizer.add_eos_token = getattr(tokenizer, "add_eos_token", add_eos_token)
 
     vocab = list(sorted(tokenizer.batch_decode(list(tokenizer.get_vocab().values()), skip_special_tokens=True)))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text())
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases())
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_vocab_words(vocab))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_chars(10_000))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000))
-    test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000))
-    # test_compare_tokenizer(func_tokenize1, func_tokenize2, generator_random_bytes(10_000)) # FAIL
+
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_custom_text())
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_custom_text_edge_cases())
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_unicodes())
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_vocab_words(vocab))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_added_lr_strip(tokenizer))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_added_tokens(tokenizer, 10_000))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_chars(10_000))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_unicodes(10_000))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_vocab_chars(vocab, 10_000))
+    compare_tokenizers(func_tokenize1, func_tokenize2, generator_random_vocab_words(vocab, 5_000))
 
     model.free()
 
@@ -340,20 +392,40 @@ def main(argv: list[str] = None):
 if __name__ == "__main__":
     # main()
 
+    logging.basicConfig(
+        level    = logging.DEBUG,
+        format   = "%(asctime)s.%(msecs)03d %(name)s %(levelname)s %(message)s",
+        datefmt  = "%Y-%m-%d %H:%M:%S",
+        filename = logger.name + ".log",
+        filemode = "a"
+    )
+
     path_tokenizers   = "./models/tokenizers/"
     path_vocab_format = "./models/ggml-vocab-%s.gguf"
 
     # import os
     # tokenizers = os.listdir(path_tokenizers)
     tokenizers = [
-        "llama-spm",   # SPM
-        "phi-3",       # SPM
-        "jina-v2-en",  # WPM
-        "bert-bge",    # WPM
+        # "llama-spm",   # SPM
+        # "phi-3",       # SPM
+        # "bert-bge",    # WPM
+        # "jina-v2-en",  # WPM
+        "gpt-2",          # BPE
+        "llama-bpe",      # BPE
+        "falcon",         # BPE
+        "starcoder",      # BPE
+        "jina-v2-es",     # BPE
+        "jina-v2-de",     # BPE
+        "jina-v2-code",   # BPE
+        "smaug-bpe",      # BPE
+        "phi-2",          # BPE
+        "deepseek-coder", # BPE
+        "deepseek-llm",   # BPE
     ]
 
     for tokenizer in tokenizers:
-        print("\n" + "=" * 50 + "\n" + tokenizer + "\n")  # noqa
+        logger.info("=" * 50)
+        logger.info(f"TOKENIZER: '{tokenizer}'")
         vocab_file = path_vocab_format % tokenizer
         dir_tokenizer = path_tokenizers + "/" + tokenizer
         main([vocab_file, dir_tokenizer, "--verbose"])
diff --git a/unicode-data.cpp b/unicode-data.cpp
index d7c1c898d..4a939898b 100644
--- a/unicode-data.cpp
+++ b/unicode-data.cpp
@@ -68,36 +68,36 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x000370, 0x0004},
 {0x000375, 0x0040},
 {0x000376, 0x0004},
-{0x000378, 0x0080},
+{0x000378, 0x0001},
 {0x00037A, 0x0004},
 {0x00037E, 0x0020},
 {0x00037F, 0x0004},
-{0x000380, 0x0080},
+{0x000380, 0x0001},
 {0x000384, 0x0040},
 {0x000386, 0x0004},
 {0x000387, 0x0020},
 {0x000388, 0x0004},
-{0x00038B, 0x0080},
+{0x00038B, 0x0001},
 {0x00038C, 0x0004},
-{0x00038D, 0x0080},
+{0x00038D, 0x0001},
 {0x00038E, 0x0004},
-{0x0003A2, 0x0080},
+{0x0003A2, 0x0001},
 {0x0003A3, 0x0004},
 {0x0003F6, 0x0040},
 {0x0003F7, 0x0004},
 {0x000482, 0x0040},
 {0x000483, 0x0010},
 {0x00048A, 0x0004},
-{0x000530, 0x0080},
+{0x000530, 0x0001},
 {0x000531, 0x0004},
-{0x000557, 0x0080},
+{0x000557, 0x0001},
 {0x000559, 0x0004},
 {0x00055A, 0x0020},
 {0x000560, 0x0004},
 {0x000589, 0x0020},
-{0x00058B, 0x0080},
+{0x00058B, 0x0001},
 {0x00058D, 0x0040},
-{0x000590, 0x0080},
+{0x000590, 0x0001},
 {0x000591, 0x0010},
 {0x0005BE, 0x0020},
 {0x0005BF, 0x0010},
@@ -107,12 +107,13 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0005C4, 0x0010},
 {0x0005C6, 0x0020},
 {0x0005C7, 0x0010},
-{0x0005C8, 0x0080},
+{0x0005C8, 0x0001},
 {0x0005D0, 0x0004},
-{0x0005EB, 0x0080},
+{0x0005EB, 0x0001},
 {0x0005EF, 0x0004},
 {0x0005F3, 0x0020},
-{0x0005F5, 0x0080},
+{0x0005F5, 0x0001},
+{0x000600, 0x0080},
 {0x000606, 0x0040},
 {0x000609, 0x0020},
 {0x00060B, 0x0040},
@@ -145,16 +146,17 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0006FD, 0x0040},
 {0x0006FF, 0x0004},
 {0x000700, 0x0020},
-{0x00070E, 0x0080},
+{0x00070E, 0x0001},
+{0x00070F, 0x0080},
 {0x000710, 0x0004},
 {0x000711, 0x0010},
 {0x000712, 0x0004},
 {0x000730, 0x0010},
-{0x00074B, 0x0080},
+{0x00074B, 0x0001},
 {0x00074D, 0x0004},
 {0x0007A6, 0x0010},
 {0x0007B1, 0x0004},
-{0x0007B2, 0x0080},
+{0x0007B2, 0x0001},
 {0x0007C0, 0x0002},
 {0x0007CA, 0x0004},
 {0x0007EB, 0x0010},
@@ -162,7 +164,7 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0007F6, 0x0040},
 {0x0007F7, 0x0020},
 {0x0007FA, 0x0004},
-{0x0007FB, 0x0080},
+{0x0007FB, 0x0001},
 {0x0007FD, 0x0010},
 {0x0007FE, 0x0040},
 {0x000800, 0x0004},
@@ -173,20 +175,22 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x000825, 0x0010},
 {0x000828, 0x0004},
 {0x000829, 0x0010},
-{0x00082E, 0x0080},
+{0x00082E, 0x0001},
 {0x000830, 0x0020},
-{0x00083F, 0x0080},
+{0x00083F, 0x0001},
 {0x000840, 0x0004},
 {0x000859, 0x0010},
-{0x00085C, 0x0080},
+{0x00085C, 0x0001},
 {0x00085E, 0x0020},
-{0x00085F, 0x0080},
+{0x00085F, 0x0001},
 {0x000860, 0x0004},
-{0x00086B, 0x0080},
+{0x00086B, 0x0001},
 {0x000870, 0x0004},
 {0x000888, 0x0040},
 {0x000889, 0x0004},
-{0x00088F, 0x0080},
+{0x00088F, 0x0001},
+{0x000890, 0x0080},
+{0x000892, 0x0001},
 {0x000898, 0x0010},
 {0x0008A0, 0x0004},
 {0x0008CA, 0x0010},
@@ -205,35 +209,35 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x000970, 0x0020},
 {0x000971, 0x0004},
 {0x000981, 0x0010},
-{0x000984, 0x0080},
+{0x000984, 0x0001},
 {0x000985, 0x0004},
-{0x00098D, 0x0080},
+{0x00098D, 0x0001},
 {0x00098F, 0x0004},
-{0x000991, 0x0080},
+{0x000991, 0x0001},
 {0x000993, 0x0004},
-{0x0009A9, 0x0080},
+{0x0009A9, 0x0001},
 {0x0009AA, 0x0004},
-{0x0009B1, 0x0080},
+{0x0009B1, 0x0001},
 {0x0009B2, 0x0004},
-{0x0009B3, 0x0080},
+{0x0009B3, 0x0001},
 {0x0009B6, 0x0004},
-{0x0009BA, 0x0080},
+{0x0009BA, 0x0001},
 {0x0009BC, 0x0010},
 {0x0009BD, 0x0004},
 {0x0009BE, 0x0010},
-{0x0009C5, 0x0080},
+{0x0009C5, 0x0001},
 {0x0009C7, 0x0010},
-{0x0009C9, 0x0080},
+{0x0009C9, 0x0001},
 {0x0009CB, 0x0010},
 {0x0009CE, 0x0004},
-{0x0009CF, 0x0080},
+{0x0009CF, 0x0001},
 {0x0009D7, 0x0010},
-{0x0009D8, 0x0080},
+{0x0009D8, 0x0001},
 {0x0009DC, 0x0004},
-{0x0009DE, 0x0080},
+{0x0009DE, 0x0001},
 {0x0009DF, 0x0004},
 {0x0009E2, 0x0010},
-{0x0009E4, 0x0080},
+{0x0009E4, 0x0001},
 {0x0009E6, 0x0002},
 {0x0009F0, 0x0004},
 {0x0009F2, 0x0040},
@@ -242,173 +246,173 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0009FC, 0x0004},
 {0x0009FD, 0x0020},
 {0x0009FE, 0x0010},
-{0x0009FF, 0x0080},
+{0x0009FF, 0x0001},
 {0x000A01, 0x0010},
-{0x000A04, 0x0080},
+{0x000A04, 0x0001},
 {0x000A05, 0x0004},
-{0x000A0B, 0x0080},
+{0x000A0B, 0x0001},
 {0x000A0F, 0x0004},
-{0x000A11, 0x0080},
+{0x000A11, 0x0001},
 {0x000A13, 0x0004},
-{0x000A29, 0x0080},
+{0x000A29, 0x0001},
 {0x000A2A, 0x0004},
-{0x000A31, 0x0080},
+{0x000A31, 0x0001},
 {0x000A32, 0x0004},
-{0x000A34, 0x0080},
+{0x000A34, 0x0001},
 {0x000A35, 0x0004},
-{0x000A37, 0x0080},
+{0x000A37, 0x0001},
 {0x000A38, 0x0004},
-{0x000A3A, 0x0080},
+{0x000A3A, 0x0001},
 {0x000A3C, 0x0010},
-{0x000A3D, 0x0080},
+{0x000A3D, 0x0001},
 {0x000A3E, 0x0010},
-{0x000A43, 0x0080},
+{0x000A43, 0x0001},
 {0x000A47, 0x0010},
-{0x000A49, 0x0080},
+{0x000A49, 0x0001},
 {0x000A4B, 0x0010},
-{0x000A4E, 0x0080},
+{0x000A4E, 0x0001},
 {0x000A51, 0x0010},
-{0x000A52, 0x0080},
+{0x000A52, 0x0001},
 {0x000A59, 0x0004},
-{0x000A5D, 0x0080},
+{0x000A5D, 0x0001},
 {0x000A5E, 0x0004},
-{0x000A5F, 0x0080},
+{0x000A5F, 0x0001},
 {0x000A66, 0x0002},
 {0x000A70, 0x0010},
 {0x000A72, 0x0004},
 {0x000A75, 0x0010},
 {0x000A76, 0x0020},
-{0x000A77, 0x0080},
+{0x000A77, 0x0001},
 {0x000A81, 0x0010},
-{0x000A84, 0x0080},
+{0x000A84, 0x0001},
 {0x000A85, 0x0004},
-{0x000A8E, 0x0080},
+{0x000A8E, 0x0001},
 {0x000A8F, 0x0004},
-{0x000A92, 0x0080},
+{0x000A92, 0x0001},
 {0x000A93, 0x0004},
-{0x000AA9, 0x0080},
+{0x000AA9, 0x0001},
 {0x000AAA, 0x0004},
-{0x000AB1, 0x0080},
+{0x000AB1, 0x0001},
 {0x000AB2, 0x0004},
-{0x000AB4, 0x0080},
+{0x000AB4, 0x0001},
 {0x000AB5, 0x0004},
-{0x000ABA, 0x0080},
+{0x000ABA, 0x0001},
 {0x000ABC, 0x0010},
 {0x000ABD, 0x0004},
 {0x000ABE, 0x0010},
-{0x000AC6, 0x0080},
+{0x000AC6, 0x0001},
 {0x000AC7, 0x0010},
-{0x000ACA, 0x0080},
+{0x000ACA, 0x0001},
 {0x000ACB, 0x0010},
-{0x000ACE, 0x0080},
+{0x000ACE, 0x0001},
 {0x000AD0, 0x0004},
-{0x000AD1, 0x0080},
+{0x000AD1, 0x0001},
 {0x000AE0, 0x0004},
 {0x000AE2, 0x0010},
-{0x000AE4, 0x0080},
+{0x000AE4, 0x0001},
 {0x000AE6, 0x0002},
 {0x000AF0, 0x0020},
 {0x000AF1, 0x0040},
-{0x000AF2, 0x0080},
+{0x000AF2, 0x0001},
 {0x000AF9, 0x0004},
 {0x000AFA, 0x0010},
-{0x000B00, 0x0080},
+{0x000B00, 0x0001},
 {0x000B01, 0x0010},
-{0x000B04, 0x0080},
+{0x000B04, 0x0001},
 {0x000B05, 0x0004},
-{0x000B0D, 0x0080},
+{0x000B0D, 0x0001},
 {0x000B0F, 0x0004},
-{0x000B11, 0x0080},
+{0x000B11, 0x0001},
 {0x000B13, 0x0004},
-{0x000B29, 0x0080},
+{0x000B29, 0x0001},
 {0x000B2A, 0x0004},
-{0x000B31, 0x0080},
+{0x000B31, 0x0001},
 {0x000B32, 0x0004},
-{0x000B34, 0x0080},
+{0x000B34, 0x0001},
 {0x000B35, 0x0004},
-{0x000B3A, 0x0080},
+{0x000B3A, 0x0001},
 {0x000B3C, 0x0010},
 {0x000B3D, 0x0004},
 {0x000B3E, 0x0010},
-{0x000B45, 0x0080},
+{0x000B45, 0x0001},
 {0x000B47, 0x0010},
-{0x000B49, 0x0080},
+{0x000B49, 0x0001},
 {0x000B4B, 0x0010},
-{0x000B4E, 0x0080},
+{0x000B4E, 0x0001},
 {0x000B55, 0x0010},
-{0x000B58, 0x0080},
+{0x000B58, 0x0001},
 {0x000B5C, 0x0004},
-{0x000B5E, 0x0080},
+{0x000B5E, 0x0001},
 {0x000B5F, 0x0004},
 {0x000B62, 0x0010},
-{0x000B64, 0x0080},
+{0x000B64, 0x0001},
 {0x000B66, 0x0002},
 {0x000B70, 0x0040},
 {0x000B71, 0x0004},
 {0x000B72, 0x0002},
-{0x000B78, 0x0080},
+{0x000B78, 0x0001},
 {0x000B82, 0x0010},
 {0x000B83, 0x0004},
-{0x000B84, 0x0080},
+{0x000B84, 0x0001},
 {0x000B85, 0x0004},
-{0x000B8B, 0x0080},
+{0x000B8B, 0x0001},
 {0x000B8E, 0x0004},
-{0x000B91, 0x0080},
+{0x000B91, 0x0001},
 {0x000B92, 0x0004},
-{0x000B96, 0x0080},
+{0x000B96, 0x0001},
 {0x000B99, 0x0004},
-{0x000B9B, 0x0080},
+{0x000B9B, 0x0001},
 {0x000B9C, 0x0004},
-{0x000B9D, 0x0080},
+{0x000B9D, 0x0001},
 {0x000B9E, 0x0004},
-{0x000BA0, 0x0080},
+{0x000BA0, 0x0001},
 {0x000BA3, 0x0004},
-{0x000BA5, 0x0080},
+{0x000BA5, 0x0001},
 {0x000BA8, 0x0004},
-{0x000BAB, 0x0080},
+{0x000BAB, 0x0001},
 {0x000BAE, 0x0004},
-{0x000BBA, 0x0080},
+{0x000BBA, 0x0001},
 {0x000BBE, 0x0010},
-{0x000BC3, 0x0080},
+{0x000BC3, 0x0001},
 {0x000BC6, 0x0010},
-{0x000BC9, 0x0080},
+{0x000BC9, 0x0001},
 {0x000BCA, 0x0010},
-{0x000BCE, 0x0080},
+{0x000BCE, 0x0001},
 {0x000BD0, 0x0004},
-{0x000BD1, 0x0080},
+{0x000BD1, 0x0001},
 {0x000BD7, 0x0010},
-{0x000BD8, 0x0080},
+{0x000BD8, 0x0001},
 {0x000BE6, 0x0002},
 {0x000BF3, 0x0040},
-{0x000BFB, 0x0080},
+{0x000BFB, 0x0001},
 {0x000C00, 0x0010},
 {0x000C05, 0x0004},
-{0x000C0D, 0x0080},
+{0x000C0D, 0x0001},
 {0x000C0E, 0x0004},
-{0x000C11, 0x0080},
+{0x000C11, 0x0001},
 {0x000C12, 0x0004},
-{0x000C29, 0x0080},
+{0x000C29, 0x0001},
 {0x000C2A, 0x0004},
-{0x000C3A, 0x0080},
+{0x000C3A, 0x0001},
 {0x000C3C, 0x0010},
 {0x000C3D, 0x0004},
 {0x000C3E, 0x0010},
-{0x000C45, 0x0080},
+{0x000C45, 0x0001},
 {0x000C46, 0x0010},
-{0x000C49, 0x0080},
+{0x000C49, 0x0001},
 {0x000C4A, 0x0010},
-{0x000C4E, 0x0080},
+{0x000C4E, 0x0001},
 {0x000C55, 0x0010},
-{0x000C57, 0x0080},
+{0x000C57, 0x0001},
 {0x000C58, 0x0004},
-{0x000C5B, 0x0080},
+{0x000C5B, 0x0001},
 {0x000C5D, 0x0004},
-{0x000C5E, 0x0080},
+{0x000C5E, 0x0001},
 {0x000C60, 0x0004},
 {0x000C62, 0x0010},
-{0x000C64, 0x0080},
+{0x000C64, 0x0001},
 {0x000C66, 0x0002},
-{0x000C70, 0x0080},
+{0x000C70, 0x0001},
 {0x000C77, 0x0020},
 {0x000C78, 0x0002},
 {0x000C7F, 0x0040},
@@ -416,124 +420,124 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x000C81, 0x0010},
 {0x000C84, 0x0020},
 {0x000C85, 0x0004},
-{0x000C8D, 0x0080},
+{0x000C8D, 0x0001},
 {0x000C8E, 0x0004},
-{0x000C91, 0x0080},
+{0x000C91, 0x0001},
 {0x000C92, 0x0004},
-{0x000CA9, 0x0080},
+{0x000CA9, 0x0001},
 {0x000CAA, 0x0004},
-{0x000CB4, 0x0080},
+{0x000CB4, 0x0001},
 {0x000CB5, 0x0004},
-{0x000CBA, 0x0080},
+{0x000CBA, 0x0001},
 {0x000CBC, 0x0010},
 {0x000CBD, 0x0004},
 {0x000CBE, 0x0010},
-{0x000CC5, 0x0080},
+{0x000CC5, 0x0001},
 {0x000CC6, 0x0010},
-{0x000CC9, 0x0080},
+{0x000CC9, 0x0001},
 {0x000CCA, 0x0010},
-{0x000CCE, 0x0080},
+{0x000CCE, 0x0001},
 {0x000CD5, 0x0010},
-{0x000CD7, 0x0080},
+{0x000CD7, 0x0001},
 {0x000CDD, 0x0004},
-{0x000CDF, 0x0080},
+{0x000CDF, 0x0001},
 {0x000CE0, 0x0004},
 {0x000CE2, 0x0010},
-{0x000CE4, 0x0080},
+{0x000CE4, 0x0001},
 {0x000CE6, 0x0002},
-{0x000CF0, 0x0080},
+{0x000CF0, 0x0001},
 {0x000CF1, 0x0004},
 {0x000CF3, 0x0010},
-{0x000CF4, 0x0080},
+{0x000CF4, 0x0001},
 {0x000D00, 0x0010},
 {0x000D04, 0x0004},
-{0x000D0D, 0x0080},
+{0x000D0D, 0x0001},
 {0x000D0E, 0x0004},
-{0x000D11, 0x0080},
+{0x000D11, 0x0001},
 {0x000D12, 0x0004},
 {0x000D3B, 0x0010},
 {0x000D3D, 0x0004},
 {0x000D3E, 0x0010},
-{0x000D45, 0x0080},
+{0x000D45, 0x0001},
 {0x000D46, 0x0010},
-{0x000D49, 0x0080},
+{0x000D49, 0x0001},
 {0x000D4A, 0x0010},
 {0x000D4E, 0x0004},
 {0x000D4F, 0x0040},
-{0x000D50, 0x0080},
+{0x000D50, 0x0001},
 {0x000D54, 0x0004},
 {0x000D57, 0x0010},
 {0x000D58, 0x0002},
 {0x000D5F, 0x0004},
 {0x000D62, 0x0010},
-{0x000D64, 0x0080},
+{0x000D64, 0x0001},
 {0x000D66, 0x0002},
 {0x000D79, 0x0040},
 {0x000D7A, 0x0004},
-{0x000D80, 0x0080},
+{0x000D80, 0x0001},
 {0x000D81, 0x0010},
-{0x000D84, 0x0080},
+{0x000D84, 0x0001},
 {0x000D85, 0x0004},
-{0x000D97, 0x0080},
+{0x000D97, 0x0001},
 {0x000D9A, 0x0004},
-{0x000DB2, 0x0080},
+{0x000DB2, 0x0001},
 {0x000DB3, 0x0004},
-{0x000DBC, 0x0080},
+{0x000DBC, 0x0001},
 {0x000DBD, 0x0004},
-{0x000DBE, 0x0080},
+{0x000DBE, 0x0001},
 {0x000DC0, 0x0004},
-{0x000DC7, 0x0080},
+{0x000DC7, 0x0001},
 {0x000DCA, 0x0010},
-{0x000DCB, 0x0080},
+{0x000DCB, 0x0001},
 {0x000DCF, 0x0010},
-{0x000DD5, 0x0080},
+{0x000DD5, 0x0001},
 {0x000DD6, 0x0010},
-{0x000DD7, 0x0080},
+{0x000DD7, 0x0001},
 {0x000DD8, 0x0010},
-{0x000DE0, 0x0080},
+{0x000DE0, 0x0001},
 {0x000DE6, 0x0002},
-{0x000DF0, 0x0080},
+{0x000DF0, 0x0001},
 {0x000DF2, 0x0010},
 {0x000DF4, 0x0020},
-{0x000DF5, 0x0080},
+{0x000DF5, 0x0001},
 {0x000E01, 0x0004},
 {0x000E31, 0x0010},
 {0x000E32, 0x0004},
 {0x000E34, 0x0010},
-{0x000E3B, 0x0080},
+{0x000E3B, 0x0001},
 {0x000E3F, 0x0040},
 {0x000E40, 0x0004},
 {0x000E47, 0x0010},
 {0x000E4F, 0x0020},
 {0x000E50, 0x0002},
 {0x000E5A, 0x0020},
-{0x000E5C, 0x0080},
+{0x000E5C, 0x0001},
 {0x000E81, 0x0004},
-{0x000E83, 0x0080},
+{0x000E83, 0x0001},
 {0x000E84, 0x0004},
-{0x000E85, 0x0080},
+{0x000E85, 0x0001},
 {0x000E86, 0x0004},
-{0x000E8B, 0x0080},
+{0x000E8B, 0x0001},
 {0x000E8C, 0x0004},
-{0x000EA4, 0x0080},
+{0x000EA4, 0x0001},
 {0x000EA5, 0x0004},
-{0x000EA6, 0x0080},
+{0x000EA6, 0x0001},
 {0x000EA7, 0x0004},
 {0x000EB1, 0x0010},
 {0x000EB2, 0x0004},
 {0x000EB4, 0x0010},
 {0x000EBD, 0x0004},
-{0x000EBE, 0x0080},
+{0x000EBE, 0x0001},
 {0x000EC0, 0x0004},
-{0x000EC5, 0x0080},
+{0x000EC5, 0x0001},
 {0x000EC6, 0x0004},
-{0x000EC7, 0x0080},
+{0x000EC7, 0x0001},
 {0x000EC8, 0x0010},
-{0x000ECF, 0x0080},
+{0x000ECF, 0x0001},
 {0x000ED0, 0x0002},
-{0x000EDA, 0x0080},
+{0x000EDA, 0x0001},
 {0x000EDC, 0x0004},
-{0x000EE0, 0x0080},
+{0x000EE0, 0x0001},
 {0x000F00, 0x0004},
 {0x000F01, 0x0040},
 {0x000F04, 0x0020},
@@ -552,26 +556,26 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x000F3A, 0x0020},
 {0x000F3E, 0x0010},
 {0x000F40, 0x0004},
-{0x000F48, 0x0080},
+{0x000F48, 0x0001},
 {0x000F49, 0x0004},
-{0x000F6D, 0x0080},
+{0x000F6D, 0x0001},
 {0x000F71, 0x0010},
 {0x000F85, 0x0020},
 {0x000F86, 0x0010},
 {0x000F88, 0x0004},
 {0x000F8D, 0x0010},
-{0x000F98, 0x0080},
+{0x000F98, 0x0001},
 {0x000F99, 0x0010},
-{0x000FBD, 0x0080},
+{0x000FBD, 0x0001},
 {0x000FBE, 0x0040},
 {0x000FC6, 0x0010},
 {0x000FC7, 0x0040},
-{0x000FCD, 0x0080},
+{0x000FCD, 0x0001},
 {0x000FCE, 0x0040},
 {0x000FD0, 0x0020},
 {0x000FD5, 0x0040},
 {0x000FD9, 0x0020},
-{0x000FDB, 0x0080},
+{0x000FDB, 0x0001},
 {0x001000, 0x0004},
 {0x00102B, 0x0010},
 {0x00103F, 0x0004},
@@ -595,56 +599,56 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00109A, 0x0010},
 {0x00109E, 0x0040},
 {0x0010A0, 0x0004},
-{0x0010C6, 0x0080},
+{0x0010C6, 0x0001},
 {0x0010C7, 0x0004},
-{0x0010C8, 0x0080},
+{0x0010C8, 0x0001},
 {0x0010CD, 0x0004},
-{0x0010CE, 0x0080},
+{0x0010CE, 0x0001},
 {0x0010D0, 0x0004},
 {0x0010FB, 0x0020},
 {0x0010FC, 0x0004},
-{0x001249, 0x0080},
+{0x001249, 0x0001},
 {0x00124A, 0x0004},
-{0x00124E, 0x0080},
+{0x00124E, 0x0001},
 {0x001250, 0x0004},
-{0x001257, 0x0080},
+{0x001257, 0x0001},
 {0x001258, 0x0004},
-{0x001259, 0x0080},
+{0x001259, 0x0001},
 {0x00125A, 0x0004},
-{0x00125E, 0x0080},
+{0x00125E, 0x0001},
 {0x001260, 0x0004},
-{0x001289, 0x0080},
+{0x001289, 0x0001},
 {0x00128A, 0x0004},
-{0x00128E, 0x0080},
+{0x00128E, 0x0001},
 {0x001290, 0x0004},
-{0x0012B1, 0x0080},
+{0x0012B1, 0x0001},
 {0x0012B2, 0x0004},
-{0x0012B6, 0x0080},
+{0x0012B6, 0x0001},
 {0x0012B8, 0x0004},
-{0x0012BF, 0x0080},
+{0x0012BF, 0x0001},
 {0x0012C0, 0x0004},
-{0x0012C1, 0x0080},
+{0x0012C1, 0x0001},
 {0x0012C2, 0x0004},
-{0x0012C6, 0x0080},
+{0x0012C6, 0x0001},
 {0x0012C8, 0x0004},
-{0x0012D7, 0x0080},
+{0x0012D7, 0x0001},
 {0x0012D8, 0x0004},
-{0x001311, 0x0080},
+{0x001311, 0x0001},
 {0x001312, 0x0004},
-{0x001316, 0x0080},
+{0x001316, 0x0001},
 {0x001318, 0x0004},
-{0x00135B, 0x0080},
+{0x00135B, 0x0001},
 {0x00135D, 0x0010},
 {0x001360, 0x0020},
 {0x001369, 0x0002},
-{0x00137D, 0x0080},
+{0x00137D, 0x0001},
 {0x001380, 0x0004},
 {0x001390, 0x0040},
-{0x00139A, 0x0080},
+{0x00139A, 0x0001},
 {0x0013A0, 0x0004},
-{0x0013F6, 0x0080},
+{0x0013F6, 0x0001},
 {0x0013F8, 0x0004},
-{0x0013FE, 0x0080},
+{0x0013FE, 0x0001},
 {0x001400, 0x0020},
 {0x001401, 0x0004},
 {0x00166D, 0x0040},
@@ -653,28 +657,28 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x001680, 0x0008},
 {0x001681, 0x0004},
 {0x00169B, 0x0020},
-{0x00169D, 0x0080},
+{0x00169D, 0x0001},
 {0x0016A0, 0x0004},
 {0x0016EB, 0x0020},
 {0x0016EE, 0x0002},
 {0x0016F1, 0x0004},
-{0x0016F9, 0x0080},
+{0x0016F9, 0x0001},
 {0x001700, 0x0004},
 {0x001712, 0x0010},
-{0x001716, 0x0080},
+{0x001716, 0x0001},
 {0x00171F, 0x0004},
 {0x001732, 0x0010},
 {0x001735, 0x0020},
-{0x001737, 0x0080},
+{0x001737, 0x0001},
 {0x001740, 0x0004},
 {0x001752, 0x0010},
-{0x001754, 0x0080},
+{0x001754, 0x0001},
 {0x001760, 0x0004},
-{0x00176D, 0x0080},
+{0x00176D, 0x0001},
 {0x00176E, 0x0004},
-{0x001771, 0x0080},
+{0x001771, 0x0001},
 {0x001772, 0x0010},
-{0x001774, 0x0080},
+{0x001774, 0x0001},
 {0x001780, 0x0004},
 {0x0017B4, 0x0010},
 {0x0017D4, 0x0020},
@@ -683,80 +687,80 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0017DB, 0x0040},
 {0x0017DC, 0x0004},
 {0x0017DD, 0x0010},
-{0x0017DE, 0x0080},
+{0x0017DE, 0x0001},
 {0x0017E0, 0x0002},
-{0x0017EA, 0x0080},
+{0x0017EA, 0x0001},
 {0x0017F0, 0x0002},
-{0x0017FA, 0x0080},
+{0x0017FA, 0x0001},
 {0x001800, 0x0020},
 {0x00180B, 0x0010},
 {0x00180E, 0x0080},
 {0x00180F, 0x0010},
 {0x001810, 0x0002},
-{0x00181A, 0x0080},
+{0x00181A, 0x0001},
 {0x001820, 0x0004},
-{0x001879, 0x0080},
+{0x001879, 0x0001},
 {0x001880, 0x0004},
 {0x001885, 0x0010},
 {0x001887, 0x0004},
 {0x0018A9, 0x0010},
 {0x0018AA, 0x0004},
-{0x0018AB, 0x0080},
+{0x0018AB, 0x0001},
 {0x0018B0, 0x0004},
-{0x0018F6, 0x0080},
+{0x0018F6, 0x0001},
 {0x001900, 0x0004},
-{0x00191F, 0x0080},
+{0x00191F, 0x0001},
 {0x001920, 0x0010},
-{0x00192C, 0x0080},
+{0x00192C, 0x0001},
 {0x001930, 0x0010},
-{0x00193C, 0x0080},
+{0x00193C, 0x0001},
 {0x001940, 0x0040},
-{0x001941, 0x0080},
+{0x001941, 0x0001},
 {0x001944, 0x0020},
 {0x001946, 0x0002},
 {0x001950, 0x0004},
-{0x00196E, 0x0080},
+{0x00196E, 0x0001},
 {0x001970, 0x0004},
-{0x001975, 0x0080},
+{0x001975, 0x0001},
 {0x001980, 0x0004},
-{0x0019AC, 0x0080},
+{0x0019AC, 0x0001},
 {0x0019B0, 0x0004},
-{0x0019CA, 0x0080},
+{0x0019CA, 0x0001},
 {0x0019D0, 0x0002},
-{0x0019DB, 0x0080},
+{0x0019DB, 0x0001},
 {0x0019DE, 0x0040},
 {0x001A00, 0x0004},
 {0x001A17, 0x0010},
-{0x001A1C, 0x0080},
+{0x001A1C, 0x0001},
 {0x001A1E, 0x0020},
 {0x001A20, 0x0004},
 {0x001A55, 0x0010},
-{0x001A5F, 0x0080},
+{0x001A5F, 0x0001},
 {0x001A60, 0x0010},
-{0x001A7D, 0x0080},
+{0x001A7D, 0x0001},
 {0x001A7F, 0x0010},
 {0x001A80, 0x0002},
-{0x001A8A, 0x0080},
+{0x001A8A, 0x0001},
 {0x001A90, 0x0002},
-{0x001A9A, 0x0080},
+{0x001A9A, 0x0001},
 {0x001AA0, 0x0020},
 {0x001AA7, 0x0004},
 {0x001AA8, 0x0020},
-{0x001AAE, 0x0080},
+{0x001AAE, 0x0001},
 {0x001AB0, 0x0010},
-{0x001ACF, 0x0080},
+{0x001ACF, 0x0001},
 {0x001B00, 0x0010},
 {0x001B05, 0x0004},
 {0x001B34, 0x0010},
 {0x001B45, 0x0004},
-{0x001B4D, 0x0080},
+{0x001B4D, 0x0001},
 {0x001B50, 0x0002},
 {0x001B5A, 0x0020},
 {0x001B61, 0x0040},
 {0x001B6B, 0x0010},
 {0x001B74, 0x0040},
 {0x001B7D, 0x0020},
-{0x001B7F, 0x0080},
+{0x001B7F, 0x0001},
 {0x001B80, 0x0010},
 {0x001B83, 0x0004},
 {0x001BA1, 0x0010},
@@ -764,25 +768,25 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x001BB0, 0x0002},
 {0x001BBA, 0x0004},
 {0x001BE6, 0x0010},
-{0x001BF4, 0x0080},
+{0x001BF4, 0x0001},
 {0x001BFC, 0x0020},
 {0x001C00, 0x0004},
 {0x001C24, 0x0010},
-{0x001C38, 0x0080},
+{0x001C38, 0x0001},
 {0x001C3B, 0x0020},
 {0x001C40, 0x0002},
-{0x001C4A, 0x0080},
+{0x001C4A, 0x0001},
 {0x001C4D, 0x0004},
 {0x001C50, 0x0002},
 {0x001C5A, 0x0004},
 {0x001C7E, 0x0020},
 {0x001C80, 0x0004},
-{0x001C89, 0x0080},
+{0x001C89, 0x0001},
 {0x001C90, 0x0004},
-{0x001CBB, 0x0080},
+{0x001CBB, 0x0001},
 {0x001CBD, 0x0004},
 {0x001CC0, 0x0020},
-{0x001CC8, 0x0080},
+{0x001CC8, 0x0001},
 {0x001CD0, 0x0010},
 {0x001CD3, 0x0020},
 {0x001CD4, 0x0010},
@@ -793,50 +797,50 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x001CF5, 0x0004},
 {0x001CF7, 0x0010},
 {0x001CFA, 0x0004},
-{0x001CFB, 0x0080},
+{0x001CFB, 0x0001},
 {0x001D00, 0x0004},
 {0x001DC0, 0x0010},
 {0x001E00, 0x0004},
-{0x001F16, 0x0080},
+{0x001F16, 0x0001},
 {0x001F18, 0x0004},
-{0x001F1E, 0x0080},
+{0x001F1E, 0x0001},
 {0x001F20, 0x0004},
-{0x001F46, 0x0080},
+{0x001F46, 0x0001},
 {0x001F48, 0x0004},
-{0x001F4E, 0x0080},
+{0x001F4E, 0x0001},
 {0x001F50, 0x0004},
-{0x001F58, 0x0080},
+{0x001F58, 0x0001},
 {0x001F59, 0x0004},
-{0x001F5A, 0x0080},
+{0x001F5A, 0x0001},
 {0x001F5B, 0x0004},
-{0x001F5C, 0x0080},
+{0x001F5C, 0x0001},
 {0x001F5D, 0x0004},
-{0x001F5E, 0x0080},
+{0x001F5E, 0x0001},
 {0x001F5F, 0x0004},
-{0x001F7E, 0x0080},
+{0x001F7E, 0x0001},
 {0x001F80, 0x0004},
-{0x001FB5, 0x0080},
+{0x001FB5, 0x0001},
 {0x001FB6, 0x0004},
 {0x001FBD, 0x0040},
 {0x001FBE, 0x0004},
 {0x001FBF, 0x0040},
 {0x001FC2, 0x0004},
-{0x001FC5, 0x0080},
+{0x001FC5, 0x0001},
 {0x001FC6, 0x0004},
 {0x001FCD, 0x0040},
 {0x001FD0, 0x0004},
-{0x001FD4, 0x0080},
+{0x001FD4, 0x0001},
 {0x001FD6, 0x0004},
-{0x001FDC, 0x0080},
+{0x001FDC, 0x0001},
 {0x001FDD, 0x0040},
 {0x001FE0, 0x0004},
 {0x001FED, 0x0040},
-{0x001FF0, 0x0080},
+{0x001FF0, 0x0001},
 {0x001FF2, 0x0004},
-{0x001FF5, 0x0080},
+{0x001FF5, 0x0001},
 {0x001FF6, 0x0004},
 {0x001FFD, 0x0040},
-{0x001FFF, 0x0080},
+{0x001FFF, 0x0001},
 {0x002000, 0x0008},
 {0x00200B, 0x0080},
 {0x002010, 0x0020},
@@ -850,9 +854,11 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x002053, 0x0020},
 {0x00205F, 0x0008},
 {0x002060, 0x0080},
+{0x002065, 0x0001},
+{0x002066, 0x0080},
 {0x002070, 0x0002},
 {0x002071, 0x0004},
-{0x002072, 0x0080},
+{0x002072, 0x0001},
 {0x002074, 0x0002},
 {0x00207A, 0x0040},
 {0x00207D, 0x0020},
@@ -860,13 +866,13 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x002080, 0x0002},
 {0x00208A, 0x0040},
 {0x00208D, 0x0020},
-{0x00208F, 0x0080},
+{0x00208F, 0x0001},
 {0x002090, 0x0004},
-{0x00209D, 0x0080},
+{0x00209D, 0x0001},
 {0x0020A0, 0x0040},
-{0x0020C1, 0x0080},
+{0x0020C1, 0x0001},
 {0x0020D0, 0x0010},
-{0x0020F1, 0x0080},
+{0x0020F1, 0x0001},
 {0x002100, 0x0040},
 {0x002102, 0x0004},
 {0x002103, 0x0040},
@@ -898,15 +904,15 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x002183, 0x0004},
 {0x002185, 0x0002},
 {0x00218A, 0x0040},
-{0x00218C, 0x0080},
+{0x00218C, 0x0001},
 {0x002190, 0x0040},
 {0x002308, 0x0020},
 {0x00230C, 0x0040},
 {0x002329, 0x0020},
 {0x00232B, 0x0040},
-{0x002427, 0x0080},
+{0x002427, 0x0001},
 {0x002440, 0x0040},
-{0x00244B, 0x0080},
+{0x00244B, 0x0001},
 {0x002460, 0x0002},
 {0x00249C, 0x0040},
 {0x0024EA, 0x0002},
@@ -924,62 +930,62 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0029DC, 0x0040},
 {0x0029FC, 0x0020},
 {0x0029FE, 0x0040},
-{0x002B74, 0x0080},
+{0x002B74, 0x0001},
 {0x002B76, 0x0040},
-{0x002B96, 0x0080},
+{0x002B96, 0x0001},
 {0x002B97, 0x0040},
 {0x002C00, 0x0004},
 {0x002CE5, 0x0040},
 {0x002CEB, 0x0004},
 {0x002CEF, 0x0010},
 {0x002CF2, 0x0004},
-{0x002CF4, 0x0080},
+{0x002CF4, 0x0001},
 {0x002CF9, 0x0020},
 {0x002CFD, 0x0002},
 {0x002CFE, 0x0020},
 {0x002D00, 0x0004},
-{0x002D26, 0x0080},
+{0x002D26, 0x0001},
 {0x002D27, 0x0004},
-{0x002D28, 0x0080},
+{0x002D28, 0x0001},
 {0x002D2D, 0x0004},
-{0x002D2E, 0x0080},
+{0x002D2E, 0x0001},
 {0x002D30, 0x0004},
-{0x002D68, 0x0080},
+{0x002D68, 0x0001},
 {0x002D6F, 0x0004},
 {0x002D70, 0x0020},
-{0x002D71, 0x0080},
+{0x002D71, 0x0001},
 {0x002D7F, 0x0010},
 {0x002D80, 0x0004},
-{0x002D97, 0x0080},
+{0x002D97, 0x0001},
 {0x002DA0, 0x0004},
-{0x002DA7, 0x0080},
+{0x002DA7, 0x0001},
 {0x002DA8, 0x0004},
-{0x002DAF, 0x0080},
+{0x002DAF, 0x0001},
 {0x002DB0, 0x0004},
-{0x002DB7, 0x0080},
+{0x002DB7, 0x0001},
 {0x002DB8, 0x0004},
-{0x002DBF, 0x0080},
+{0x002DBF, 0x0001},
 {0x002DC0, 0x0004},
-{0x002DC7, 0x0080},
+{0x002DC7, 0x0001},
 {0x002DC8, 0x0004},
-{0x002DCF, 0x0080},
+{0x002DCF, 0x0001},
 {0x002DD0, 0x0004},
-{0x002DD7, 0x0080},
+{0x002DD7, 0x0001},
 {0x002DD8, 0x0004},
-{0x002DDF, 0x0080},
+{0x002DDF, 0x0001},
 {0x002DE0, 0x0010},
 {0x002E00, 0x0020},
 {0x002E2F, 0x0004},
 {0x002E30, 0x0020},
 {0x002E50, 0x0040},
 {0x002E52, 0x0020},
-{0x002E5E, 0x0080},
+{0x002E5E, 0x0001},
 {0x002E80, 0x0040},
-{0x002E9A, 0x0080},
+{0x002E9A, 0x0001},
 {0x002E9B, 0x0040},
-{0x002EF4, 0x0080},
+{0x002EF4, 0x0001},
 {0x002F00, 0x0040},
-{0x002FD6, 0x0080},
+{0x002FD6, 0x0001},
 {0x002FF0, 0x0040},
 {0x003000, 0x0008},
 {0x003001, 0x0020},
@@ -999,9 +1005,9 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00303B, 0x0004},
 {0x00303D, 0x0020},
 {0x00303E, 0x0040},
-{0x003040, 0x0080},
+{0x003040, 0x0001},
 {0x003041, 0x0004},
-{0x003097, 0x0080},
+{0x003097, 0x0001},
 {0x003099, 0x0010},
 {0x00309B, 0x0040},
 {0x00309D, 0x0004},
@@ -1009,21 +1015,21 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0030A1, 0x0004},
 {0x0030FB, 0x0020},
 {0x0030FC, 0x0004},
-{0x003100, 0x0080},
+{0x003100, 0x0001},
 {0x003105, 0x0004},
-{0x003130, 0x0080},
+{0x003130, 0x0001},
 {0x003131, 0x0004},
-{0x00318F, 0x0080},
+{0x00318F, 0x0001},
 {0x003190, 0x0040},
 {0x003192, 0x0002},
 {0x003196, 0x0040},
 {0x0031A0, 0x0004},
 {0x0031C0, 0x0040},
-{0x0031E4, 0x0080},
+{0x0031E4, 0x0001},
 {0x0031EF, 0x0040},
 {0x0031F0, 0x0004},
 {0x003200, 0x0040},
-{0x00321F, 0x0080},
+{0x00321F, 0x0001},
 {0x003220, 0x0002},
 {0x00322A, 0x0040},
 {0x003248, 0x0002},
@@ -1037,9 +1043,9 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x003400, 0x0004},
 {0x004DC0, 0x0040},
 {0x004E00, 0x0004},
-{0x00A48D, 0x0080},
+{0x00A48D, 0x0001},
 {0x00A490, 0x0040},
-{0x00A4C7, 0x0080},
+{0x00A4C7, 0x0001},
 {0x00A4D0, 0x0004},
 {0x00A4FE, 0x0020},
 {0x00A500, 0x0004},
@@ -1047,7 +1053,7 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00A610, 0x0004},
 {0x00A620, 0x0002},
 {0x00A62A, 0x0004},
-{0x00A62C, 0x0080},
+{0x00A62C, 0x0001},
 {0x00A640, 0x0004},
 {0x00A66F, 0x0010},
 {0x00A673, 0x0020},
@@ -1059,20 +1065,20 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00A6E6, 0x0002},
 {0x00A6F0, 0x0010},
 {0x00A6F2, 0x0020},
-{0x00A6F8, 0x0080},
+{0x00A6F8, 0x0001},
 {0x00A700, 0x0040},
 {0x00A717, 0x0004},
 {0x00A720, 0x0040},
 {0x00A722, 0x0004},
 {0x00A789, 0x0040},
 {0x00A78B, 0x0004},
-{0x00A7CB, 0x0080},
+{0x00A7CB, 0x0001},
 {0x00A7D0, 0x0004},
-{0x00A7D2, 0x0080},
+{0x00A7D2, 0x0001},
 {0x00A7D3, 0x0004},
-{0x00A7D4, 0x0080},
+{0x00A7D4, 0x0001},
 {0x00A7D5, 0x0004},
-{0x00A7DA, 0x0080},
+{0x00A7DA, 0x0001},
 {0x00A7F2, 0x0004},
 {0x00A802, 0x0010},
 {0x00A803, 0x0004},
@@ -1083,20 +1089,20 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00A823, 0x0010},
 {0x00A828, 0x0040},
 {0x00A82C, 0x0010},
-{0x00A82D, 0x0080},
+{0x00A82D, 0x0001},
 {0x00A830, 0x0002},
 {0x00A836, 0x0040},
-{0x00A83A, 0x0080},
+{0x00A83A, 0x0001},
 {0x00A840, 0x0004},
 {0x00A874, 0x0020},
-{0x00A878, 0x0080},
+{0x00A878, 0x0001},
 {0x00A880, 0x0010},
 {0x00A882, 0x0004},
 {0x00A8B4, 0x0010},
-{0x00A8C6, 0x0080},
+{0x00A8C6, 0x0001},
 {0x00A8CE, 0x0020},
 {0x00A8D0, 0x0002},
-{0x00A8DA, 0x0080},
+{0x00A8DA, 0x0001},
 {0x00A8E0, 0x0010},
 {0x00A8F2, 0x0004},
 {0x00A8F8, 0x0020},
@@ -1110,35 +1116,35 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00A92E, 0x0020},
 {0x00A930, 0x0004},
 {0x00A947, 0x0010},
-{0x00A954, 0x0080},
+{0x00A954, 0x0001},
 {0x00A95F, 0x0020},
 {0x00A960, 0x0004},
-{0x00A97D, 0x0080},
+{0x00A97D, 0x0001},
 {0x00A980, 0x0010},
 {0x00A984, 0x0004},
 {0x00A9B3, 0x0010},
 {0x00A9C1, 0x0020},
-{0x00A9CE, 0x0080},
+{0x00A9CE, 0x0001},
 {0x00A9CF, 0x0004},
 {0x00A9D0, 0x0002},
-{0x00A9DA, 0x0080},
+{0x00A9DA, 0x0001},
 {0x00A9DE, 0x0020},
 {0x00A9E0, 0x0004},
 {0x00A9E5, 0x0010},
 {0x00A9E6, 0x0004},
 {0x00A9F0, 0x0002},
 {0x00A9FA, 0x0004},
-{0x00A9FF, 0x0080},
+{0x00A9FF, 0x0001},
 {0x00AA00, 0x0004},
 {0x00AA29, 0x0010},
-{0x00AA37, 0x0080},
+{0x00AA37, 0x0001},
 {0x00AA40, 0x0004},
 {0x00AA43, 0x0010},
 {0x00AA44, 0x0004},
 {0x00AA4C, 0x0010},
-{0x00AA4E, 0x0080},
+{0x00AA4E, 0x0001},
 {0x00AA50, 0x0002},
-{0x00AA5A, 0x0080},
+{0x00AA5A, 0x0001},
 {0x00AA5C, 0x0020},
 {0x00AA60, 0x0004},
 {0x00AA77, 0x0040},
@@ -1155,7 +1161,7 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00AAC0, 0x0004},
 {0x00AAC1, 0x0010},
 {0x00AAC2, 0x0004},
-{0x00AAC3, 0x0080},
+{0x00AAC3, 0x0001},
 {0x00AADB, 0x0004},
 {0x00AADE, 0x0020},
 {0x00AAE0, 0x0004},
@@ -1163,90 +1169,93 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00AAF0, 0x0020},
 {0x00AAF2, 0x0004},
 {0x00AAF5, 0x0010},
-{0x00AAF7, 0x0080},
+{0x00AAF7, 0x0001},
 {0x00AB01, 0x0004},
-{0x00AB07, 0x0080},
+{0x00AB07, 0x0001},
 {0x00AB09, 0x0004},
-{0x00AB0F, 0x0080},
+{0x00AB0F, 0x0001},
 {0x00AB11, 0x0004},
-{0x00AB17, 0x0080},
+{0x00AB17, 0x0001},
 {0x00AB20, 0x0004},
-{0x00AB27, 0x0080},
+{0x00AB27, 0x0001},
 {0x00AB28, 0x0004},
-{0x00AB2F, 0x0080},
+{0x00AB2F, 0x0001},
 {0x00AB30, 0x0004},
 {0x00AB5B, 0x0040},
 {0x00AB5C, 0x0004},
 {0x00AB6A, 0x0040},
-{0x00AB6C, 0x0080},
+{0x00AB6C, 0x0001},
 {0x00AB70, 0x0004},
 {0x00ABE3, 0x0010},
 {0x00ABEB, 0x0020},
 {0x00ABEC, 0x0010},
-{0x00ABEE, 0x0080},
+{0x00ABEE, 0x0001},
 {0x00ABF0, 0x0002},
-{0x00ABFA, 0x0080},
+{0x00ABFA, 0x0001},
 {0x00AC00, 0x0004},
-{0x00D7A4, 0x0080},
+{0x00D7A4, 0x0001},
 {0x00D7B0, 0x0004},
-{0x00D7C7, 0x0080},
+{0x00D7C7, 0x0001},
 {0x00D7CB, 0x0004},
-{0x00D7FC, 0x0080},
+{0x00D7FC, 0x0001},
+{0x00D800, 0x0080},
 {0x00F900, 0x0004},
-{0x00FA6E, 0x0080},
+{0x00FA6E, 0x0001},
 {0x00FA70, 0x0004},
-{0x00FADA, 0x0080},
+{0x00FADA, 0x0001},
 {0x00FB00, 0x0004},
-{0x00FB07, 0x0080},
+{0x00FB07, 0x0001},
 {0x00FB13, 0x0004},
-{0x00FB18, 0x0080},
+{0x00FB18, 0x0001},
 {0x00FB1D, 0x0004},
 {0x00FB1E, 0x0010},
 {0x00FB1F, 0x0004},
 {0x00FB29, 0x0040},
 {0x00FB2A, 0x0004},
-{0x00FB37, 0x0080},
+{0x00FB37, 0x0001},
 {0x00FB38, 0x0004},
-{0x00FB3D, 0x0080},
+{0x00FB3D, 0x0001},
 {0x00FB3E, 0x0004},
-{0x00FB3F, 0x0080},
+{0x00FB3F, 0x0001},
 {0x00FB40, 0x0004},
-{0x00FB42, 0x0080},
+{0x00FB42, 0x0001},
 {0x00FB43, 0x0004},
-{0x00FB45, 0x0080},
+{0x00FB45, 0x0001},
 {0x00FB46, 0x0004},
 {0x00FBB2, 0x0040},
-{0x00FBC3, 0x0080},
+{0x00FBC3, 0x0001},
 {0x00FBD3, 0x0004},
 {0x00FD3E, 0x0020},
 {0x00FD40, 0x0040},
 {0x00FD50, 0x0004},
-{0x00FD90, 0x0080},
+{0x00FD90, 0x0001},
 {0x00FD92, 0x0004},
-{0x00FDC8, 0x0080},
+{0x00FDC8, 0x0001},
 {0x00FDCF, 0x0040},
-{0x00FDD0, 0x0080},
+{0x00FDD0, 0x0001},
 {0x00FDF0, 0x0004},
 {0x00FDFC, 0x0040},
 {0x00FE00, 0x0010},
 {0x00FE10, 0x0020},
-{0x00FE1A, 0x0080},
+{0x00FE1A, 0x0001},
 {0x00FE20, 0x0010},
 {0x00FE30, 0x0020},
-{0x00FE53, 0x0080},
+{0x00FE53, 0x0001},
 {0x00FE54, 0x0020},
 {0x00FE62, 0x0040},
 {0x00FE63, 0x0020},
 {0x00FE64, 0x0040},
-{0x00FE67, 0x0080},
+{0x00FE67, 0x0001},
 {0x00FE68, 0x0020},
 {0x00FE69, 0x0040},
 {0x00FE6A, 0x0020},
-{0x00FE6C, 0x0080},
+{0x00FE6C, 0x0001},
 {0x00FE70, 0x0004},
-{0x00FE75, 0x0080},
+{0x00FE75, 0x0001},
 {0x00FE76, 0x0004},
-{0x00FEFD, 0x0080},
+{0x00FEFD, 0x0001},
+{0x00FEFF, 0x0080},
+{0x00FF00, 0x0001},
 {0x00FF01, 0x0020},
 {0x00FF04, 0x0040},
 {0x00FF05, 0x0020},
@@ -1268,260 +1277,261 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x00FF5E, 0x0040},
 {0x00FF5F, 0x0020},
 {0x00FF66, 0x0004},
-{0x00FFBF, 0x0080},
+{0x00FFBF, 0x0001},
 {0x00FFC2, 0x0004},
-{0x00FFC8, 0x0080},
+{0x00FFC8, 0x0001},
 {0x00FFCA, 0x0004},
-{0x00FFD0, 0x0080},
+{0x00FFD0, 0x0001},
 {0x00FFD2, 0x0004},
-{0x00FFD8, 0x0080},
+{0x00FFD8, 0x0001},
 {0x00FFDA, 0x0004},
-{0x00FFDD, 0x0080},
+{0x00FFDD, 0x0001},
 {0x00FFE0, 0x0040},
-{0x00FFE7, 0x0080},
+{0x00FFE7, 0x0001},
 {0x00FFE8, 0x0040},
-{0x00FFEF, 0x0080},
+{0x00FFEF, 0x0001},
+{0x00FFF9, 0x0080},
 {0x00FFFC, 0x0040},
-{0x00FFFE, 0x0080},
+{0x00FFFE, 0x0001},
 {0x010000, 0x0004},
-{0x01000C, 0x0080},
+{0x01000C, 0x0001},
 {0x01000D, 0x0004},
-{0x010027, 0x0080},
+{0x010027, 0x0001},
 {0x010028, 0x0004},
-{0x01003B, 0x0080},
+{0x01003B, 0x0001},
 {0x01003C, 0x0004},
-{0x01003E, 0x0080},
+{0x01003E, 0x0001},
 {0x01003F, 0x0004},
-{0x01004E, 0x0080},
+{0x01004E, 0x0001},
 {0x010050, 0x0004},
-{0x01005E, 0x0080},
+{0x01005E, 0x0001},
 {0x010080, 0x0004},
-{0x0100FB, 0x0080},
+{0x0100FB, 0x0001},
 {0x010100, 0x0020},
-{0x010103, 0x0080},
+{0x010103, 0x0001},
 {0x010107, 0x0002},
-{0x010134, 0x0080},
+{0x010134, 0x0001},
 {0x010137, 0x0040},
 {0x010140, 0x0002},
 {0x010179, 0x0040},
 {0x01018A, 0x0002},
 {0x01018C, 0x0040},
-{0x01018F, 0x0080},
+{0x01018F, 0x0001},
 {0x010190, 0x0040},
-{0x01019D, 0x0080},
+{0x01019D, 0x0001},
 {0x0101A0, 0x0040},
-{0x0101A1, 0x0080},
+{0x0101A1, 0x0001},
 {0x0101D0, 0x0040},
 {0x0101FD, 0x0010},
-{0x0101FE, 0x0080},
+{0x0101FE, 0x0001},
 {0x010280, 0x0004},
-{0x01029D, 0x0080},
+{0x01029D, 0x0001},
 {0x0102A0, 0x0004},
-{0x0102D1, 0x0080},
+{0x0102D1, 0x0001},
 {0x0102E0, 0x0010},
 {0x0102E1, 0x0002},
-{0x0102FC, 0x0080},
+{0x0102FC, 0x0001},
 {0x010300, 0x0004},
 {0x010320, 0x0002},
-{0x010324, 0x0080},
+{0x010324, 0x0001},
 {0x01032D, 0x0004},
 {0x010341, 0x0002},
 {0x010342, 0x0004},
 {0x01034A, 0x0002},
-{0x01034B, 0x0080},
+{0x01034B, 0x0001},
 {0x010350, 0x0004},
 {0x010376, 0x0010},
-{0x01037B, 0x0080},
+{0x01037B, 0x0001},
 {0x010380, 0x0004},
-{0x01039E, 0x0080},
+{0x01039E, 0x0001},
 {0x01039F, 0x0020},
 {0x0103A0, 0x0004},
-{0x0103C4, 0x0080},
+{0x0103C4, 0x0001},
 {0x0103C8, 0x0004},
 {0x0103D0, 0x0020},
 {0x0103D1, 0x0002},
-{0x0103D6, 0x0080},
+{0x0103D6, 0x0001},
 {0x010400, 0x0004},
-{0x01049E, 0x0080},
+{0x01049E, 0x0001},
 {0x0104A0, 0x0002},
-{0x0104AA, 0x0080},
+{0x0104AA, 0x0001},
 {0x0104B0, 0x0004},
-{0x0104D4, 0x0080},
+{0x0104D4, 0x0001},
 {0x0104D8, 0x0004},
-{0x0104FC, 0x0080},
+{0x0104FC, 0x0001},
 {0x010500, 0x0004},
-{0x010528, 0x0080},
+{0x010528, 0x0001},
 {0x010530, 0x0004},
-{0x010564, 0x0080},
+{0x010564, 0x0001},
 {0x01056F, 0x0020},
 {0x010570, 0x0004},
-{0x01057B, 0x0080},
+{0x01057B, 0x0001},
 {0x01057C, 0x0004},
-{0x01058B, 0x0080},
+{0x01058B, 0x0001},
 {0x01058C, 0x0004},
-{0x010593, 0x0080},
+{0x010593, 0x0001},
 {0x010594, 0x0004},
-{0x010596, 0x0080},
+{0x010596, 0x0001},
 {0x010597, 0x0004},
-{0x0105A2, 0x0080},
+{0x0105A2, 0x0001},
 {0x0105A3, 0x0004},
-{0x0105B2, 0x0080},
+{0x0105B2, 0x0001},
 {0x0105B3, 0x0004},
-{0x0105BA, 0x0080},
+{0x0105BA, 0x0001},
 {0x0105BB, 0x0004},
-{0x0105BD, 0x0080},
+{0x0105BD, 0x0001},
 {0x010600, 0x0004},
-{0x010737, 0x0080},
+{0x010737, 0x0001},
 {0x010740, 0x0004},
-{0x010756, 0x0080},
+{0x010756, 0x0001},
 {0x010760, 0x0004},
-{0x010768, 0x0080},
+{0x010768, 0x0001},
 {0x010780, 0x0004},
-{0x010786, 0x0080},
+{0x010786, 0x0001},
 {0x010787, 0x0004},
-{0x0107B1, 0x0080},
+{0x0107B1, 0x0001},
 {0x0107B2, 0x0004},
-{0x0107BB, 0x0080},
+{0x0107BB, 0x0001},
 {0x010800, 0x0004},
-{0x010806, 0x0080},
+{0x010806, 0x0001},
 {0x010808, 0x0004},
-{0x010809, 0x0080},
+{0x010809, 0x0001},
 {0x01080A, 0x0004},
-{0x010836, 0x0080},
+{0x010836, 0x0001},
 {0x010837, 0x0004},
-{0x010839, 0x0080},
+{0x010839, 0x0001},
 {0x01083C, 0x0004},
-{0x01083D, 0x0080},
+{0x01083D, 0x0001},
 {0x01083F, 0x0004},
-{0x010856, 0x0080},
+{0x010856, 0x0001},
 {0x010857, 0x0020},
 {0x010858, 0x0002},
 {0x010860, 0x0004},
 {0x010877, 0x0040},
 {0x010879, 0x0002},
 {0x010880, 0x0004},
-{0x01089F, 0x0080},
+{0x01089F, 0x0001},
 {0x0108A7, 0x0002},
-{0x0108B0, 0x0080},
+{0x0108B0, 0x0001},
 {0x0108E0, 0x0004},
-{0x0108F3, 0x0080},
+{0x0108F3, 0x0001},
 {0x0108F4, 0x0004},
-{0x0108F6, 0x0080},
+{0x0108F6, 0x0001},
 {0x0108FB, 0x0002},
 {0x010900, 0x0004},
 {0x010916, 0x0002},
-{0x01091C, 0x0080},
+{0x01091C, 0x0001},
 {0x01091F, 0x0020},
 {0x010920, 0x0004},
-{0x01093A, 0x0080},
+{0x01093A, 0x0001},
 {0x01093F, 0x0020},
-{0x010940, 0x0080},
+{0x010940, 0x0001},
 {0x010980, 0x0004},
-{0x0109B8, 0x0080},
+{0x0109B8, 0x0001},
 {0x0109BC, 0x0002},
 {0x0109BE, 0x0004},
 {0x0109C0, 0x0002},
-{0x0109D0, 0x0080},
+{0x0109D0, 0x0001},
 {0x0109D2, 0x0002},
 {0x010A00, 0x0004},
 {0x010A01, 0x0010},
-{0x010A04, 0x0080},
+{0x010A04, 0x0001},
 {0x010A05, 0x0010},
-{0x010A07, 0x0080},
+{0x010A07, 0x0001},
 {0x010A0C, 0x0010},
 {0x010A10, 0x0004},
-{0x010A14, 0x0080},
+{0x010A14, 0x0001},
 {0x010A15, 0x0004},
-{0x010A18, 0x0080},
+{0x010A18, 0x0001},
 {0x010A19, 0x0004},
-{0x010A36, 0x0080},
+{0x010A36, 0x0001},
 {0x010A38, 0x0010},
-{0x010A3B, 0x0080},
+{0x010A3B, 0x0001},
 {0x010A3F, 0x0010},
 {0x010A40, 0x0002},
-{0x010A49, 0x0080},
+{0x010A49, 0x0001},
 {0x010A50, 0x0020},
-{0x010A59, 0x0080},
+{0x010A59, 0x0001},
 {0x010A60, 0x0004},
 {0x010A7D, 0x0002},
 {0x010A7F, 0x0020},
 {0x010A80, 0x0004},
 {0x010A9D, 0x0002},
-{0x010AA0, 0x0080},
+{0x010AA0, 0x0001},
 {0x010AC0, 0x0004},
 {0x010AC8, 0x0040},
 {0x010AC9, 0x0004},
 {0x010AE5, 0x0010},
-{0x010AE7, 0x0080},
+{0x010AE7, 0x0001},
 {0x010AEB, 0x0002},
 {0x010AF0, 0x0020},
-{0x010AF7, 0x0080},
+{0x010AF7, 0x0001},
 {0x010B00, 0x0004},
-{0x010B36, 0x0080},
+{0x010B36, 0x0001},
 {0x010B39, 0x0020},
 {0x010B40, 0x0004},
-{0x010B56, 0x0080},
+{0x010B56, 0x0001},
 {0x010B58, 0x0002},
 {0x010B60, 0x0004},
-{0x010B73, 0x0080},
+{0x010B73, 0x0001},
 {0x010B78, 0x0002},
 {0x010B80, 0x0004},
-{0x010B92, 0x0080},
+{0x010B92, 0x0001},
 {0x010B99, 0x0020},
-{0x010B9D, 0x0080},
+{0x010B9D, 0x0001},
 {0x010BA9, 0x0002},
-{0x010BB0, 0x0080},
+{0x010BB0, 0x0001},
 {0x010C00, 0x0004},
-{0x010C49, 0x0080},
+{0x010C49, 0x0001},
 {0x010C80, 0x0004},
-{0x010CB3, 0x0080},
+{0x010CB3, 0x0001},
 {0x010CC0, 0x0004},
-{0x010CF3, 0x0080},
+{0x010CF3, 0x0001},
 {0x010CFA, 0x0002},
 {0x010D00, 0x0004},
 {0x010D24, 0x0010},
-{0x010D28, 0x0080},
+{0x010D28, 0x0001},
 {0x010D30, 0x0002},
-{0x010D3A, 0x0080},
+{0x010D3A, 0x0001},
 {0x010E60, 0x0002},
-{0x010E7F, 0x0080},
+{0x010E7F, 0x0001},
 {0x010E80, 0x0004},
-{0x010EAA, 0x0080},
+{0x010EAA, 0x0001},
 {0x010EAB, 0x0010},
 {0x010EAD, 0x0020},
-{0x010EAE, 0x0080},
+{0x010EAE, 0x0001},
 {0x010EB0, 0x0004},
-{0x010EB2, 0x0080},
+{0x010EB2, 0x0001},
 {0x010EFD, 0x0010},
 {0x010F00, 0x0004},
 {0x010F1D, 0x0002},
 {0x010F27, 0x0004},
-{0x010F28, 0x0080},
+{0x010F28, 0x0001},
 {0x010F30, 0x0004},
 {0x010F46, 0x0010},
 {0x010F51, 0x0002},
 {0x010F55, 0x0020},
-{0x010F5A, 0x0080},
+{0x010F5A, 0x0001},
 {0x010F70, 0x0004},
 {0x010F82, 0x0010},
 {0x010F86, 0x0020},
-{0x010F8A, 0x0080},
+{0x010F8A, 0x0001},
 {0x010FB0, 0x0004},
 {0x010FC5, 0x0002},
-{0x010FCC, 0x0080},
+{0x010FCC, 0x0001},
 {0x010FE0, 0x0004},
-{0x010FF7, 0x0080},
+{0x010FF7, 0x0001},
 {0x011000, 0x0010},
 {0x011003, 0x0004},
 {0x011038, 0x0010},
 {0x011047, 0x0020},
-{0x01104E, 0x0080},
+{0x01104E, 0x0001},
 {0x011052, 0x0002},
 {0x011070, 0x0010},
 {0x011071, 0x0004},
 {0x011073, 0x0010},
 {0x011075, 0x0004},
-{0x011076, 0x0080},
+{0x011076, 0x0001},
 {0x01107F, 0x0010},
 {0x011083, 0x0004},
 {0x0110B0, 0x0010},
@@ -1529,26 +1539,28 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0110BD, 0x0080},
 {0x0110BE, 0x0020},
 {0x0110C2, 0x0010},
-{0x0110C3, 0x0080},
+{0x0110C3, 0x0001},
+{0x0110CD, 0x0080},
+{0x0110CE, 0x0001},
 {0x0110D0, 0x0004},
-{0x0110E9, 0x0080},
+{0x0110E9, 0x0001},
 {0x0110F0, 0x0002},
-{0x0110FA, 0x0080},
+{0x0110FA, 0x0001},
 {0x011100, 0x0010},
 {0x011103, 0x0004},
 {0x011127, 0x0010},
-{0x011135, 0x0080},
+{0x011135, 0x0001},
 {0x011136, 0x0002},
 {0x011140, 0x0020},
 {0x011144, 0x0004},
 {0x011145, 0x0010},
 {0x011147, 0x0004},
-{0x011148, 0x0080},
+{0x011148, 0x0001},
 {0x011150, 0x0004},
 {0x011173, 0x0010},
 {0x011174, 0x0020},
 {0x011176, 0x0004},
-{0x011177, 0x0080},
+{0x011177, 0x0001},
 {0x011180, 0x0010},
 {0x011183, 0x0004},
 {0x0111B3, 0x0010},
@@ -1562,159 +1574,159 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x0111DB, 0x0020},
 {0x0111DC, 0x0004},
 {0x0111DD, 0x0020},
-{0x0111E0, 0x0080},
+{0x0111E0, 0x0001},
 {0x0111E1, 0x0002},
-{0x0111F5, 0x0080},
+{0x0111F5, 0x0001},
 {0x011200, 0x0004},
-{0x011212, 0x0080},
+{0x011212, 0x0001},
 {0x011213, 0x0004},
 {0x01122C, 0x0010},
 {0x011238, 0x0020},
 {0x01123E, 0x0010},
 {0x01123F, 0x0004},
 {0x011241, 0x0010},
-{0x011242, 0x0080},
+{0x011242, 0x0001},
 {0x011280, 0x0004},
-{0x011287, 0x0080},
+{0x011287, 0x0001},
 {0x011288, 0x0004},
-{0x011289, 0x0080},
+{0x011289, 0x0001},
 {0x01128A, 0x0004},
-{0x01128E, 0x0080},
+{0x01128E, 0x0001},
 {0x01128F, 0x0004},
-{0x01129E, 0x0080},
+{0x01129E, 0x0001},
 {0x01129F, 0x0004},
 {0x0112A9, 0x0020},
-{0x0112AA, 0x0080},
+{0x0112AA, 0x0001},
 {0x0112B0, 0x0004},
 {0x0112DF, 0x0010},
-{0x0112EB, 0x0080},
+{0x0112EB, 0x0001},
 {0x0112F0, 0x0002},
-{0x0112FA, 0x0080},
+{0x0112FA, 0x0001},
 {0x011300, 0x0010},
-{0x011304, 0x0080},
+{0x011304, 0x0001},
 {0x011305, 0x0004},
-{0x01130D, 0x0080},
+{0x01130D, 0x0001},
 {0x01130F, 0x0004},
-{0x011311, 0x0080},
+{0x011311, 0x0001},
 {0x011313, 0x0004},
-{0x011329, 0x0080},
+{0x011329, 0x0001},
 {0x01132A, 0x0004},
-{0x011331, 0x0080},
+{0x011331, 0x0001},
 {0x011332, 0x0004},
-{0x011334, 0x0080},
+{0x011334, 0x0001},
 {0x011335, 0x0004},
-{0x01133A, 0x0080},
+{0x01133A, 0x0001},
 {0x01133B, 0x0010},
 {0x01133D, 0x0004},
 {0x01133E, 0x0010},
-{0x011345, 0x0080},
+{0x011345, 0x0001},
 {0x011347, 0x0010},
-{0x011349, 0x0080},
+{0x011349, 0x0001},
 {0x01134B, 0x0010},
-{0x01134E, 0x0080},
+{0x01134E, 0x0001},
 {0x011350, 0x0004},
-{0x011351, 0x0080},
+{0x011351, 0x0001},
 {0x011357, 0x0010},
-{0x011358, 0x0080},
+{0x011358, 0x0001},
 {0x01135D, 0x0004},
 {0x011362, 0x0010},
-{0x011364, 0x0080},
+{0x011364, 0x0001},
 {0x011366, 0x0010},
-{0x01136D, 0x0080},
+{0x01136D, 0x0001},
 {0x011370, 0x0010},
-{0x011375, 0x0080},
+{0x011375, 0x0001},
 {0x011400, 0x0004},
 {0x011435, 0x0010},
 {0x011447, 0x0004},
 {0x01144B, 0x0020},
 {0x011450, 0x0002},
 {0x01145A, 0x0020},
-{0x01145C, 0x0080},
+{0x01145C, 0x0001},
 {0x01145D, 0x0020},
 {0x01145E, 0x0010},
 {0x01145F, 0x0004},
-{0x011462, 0x0080},
+{0x011462, 0x0001},
 {0x011480, 0x0004},
 {0x0114B0, 0x0010},
 {0x0114C4, 0x0004},
 {0x0114C6, 0x0020},
 {0x0114C7, 0x0004},
-{0x0114C8, 0x0080},
+{0x0114C8, 0x0001},
 {0x0114D0, 0x0002},
-{0x0114DA, 0x0080},
+{0x0114DA, 0x0001},
 {0x011580, 0x0004},
 {0x0115AF, 0x0010},
-{0x0115B6, 0x0080},
+{0x0115B6, 0x0001},
 {0x0115B8, 0x0010},
 {0x0115C1, 0x0020},
 {0x0115D8, 0x0004},
 {0x0115DC, 0x0010},
-{0x0115DE, 0x0080},
+{0x0115DE, 0x0001},
 {0x011600, 0x0004},
 {0x011630, 0x0010},
 {0x011641, 0x0020},
 {0x011644, 0x0004},
-{0x011645, 0x0080},
+{0x011645, 0x0001},
 {0x011650, 0x0002},
-{0x01165A, 0x0080},
+{0x01165A, 0x0001},
 {0x011660, 0x0020},
-{0x01166D, 0x0080},
+{0x01166D, 0x0001},
 {0x011680, 0x0004},
 {0x0116AB, 0x0010},
 {0x0116B8, 0x0004},
 {0x0116B9, 0x0020},
-{0x0116BA, 0x0080},
+{0x0116BA, 0x0001},
 {0x0116C0, 0x0002},
-{0x0116CA, 0x0080},
+{0x0116CA, 0x0001},
 {0x011700, 0x0004},
-{0x01171B, 0x0080},
+{0x01171B, 0x0001},
 {0x01171D, 0x0010},
-{0x01172C, 0x0080},
+{0x01172C, 0x0001},
 {0x011730, 0x0002},
 {0x01173C, 0x0020},
 {0x01173F, 0x0040},
 {0x011740, 0x0004},
-{0x011747, 0x0080},
+{0x011747, 0x0001},
 {0x011800, 0x0004},
 {0x01182C, 0x0010},
 {0x01183B, 0x0020},
-{0x01183C, 0x0080},
+{0x01183C, 0x0001},
 {0x0118A0, 0x0004},
 {0x0118E0, 0x0002},
-{0x0118F3, 0x0080},
+{0x0118F3, 0x0001},
 {0x0118FF, 0x0004},
-{0x011907, 0x0080},
+{0x011907, 0x0001},
 {0x011909, 0x0004},
-{0x01190A, 0x0080},
+{0x01190A, 0x0001},
 {0x01190C, 0x0004},
-{0x011914, 0x0080},
+{0x011914, 0x0001},
 {0x011915, 0x0004},
-{0x011917, 0x0080},
+{0x011917, 0x0001},
 {0x011918, 0x0004},
 {0x011930, 0x0010},
-{0x011936, 0x0080},
+{0x011936, 0x0001},
 {0x011937, 0x0010},
-{0x011939, 0x0080},
+{0x011939, 0x0001},
 {0x01193B, 0x0010},
 {0x01193F, 0x0004},
 {0x011940, 0x0010},
 {0x011941, 0x0004},
 {0x011942, 0x0010},
 {0x011944, 0x0020},
-{0x011947, 0x0080},
+{0x011947, 0x0001},
 {0x011950, 0x0002},
-{0x01195A, 0x0080},
+{0x01195A, 0x0001},
 {0x0119A0, 0x0004},
-{0x0119A8, 0x0080},
+{0x0119A8, 0x0001},
 {0x0119AA, 0x0004},
 {0x0119D1, 0x0010},
-{0x0119D8, 0x0080},
+{0x0119D8, 0x0001},
 {0x0119DA, 0x0010},
 {0x0119E1, 0x0004},
 {0x0119E2, 0x0020},
 {0x0119E3, 0x0004},
 {0x0119E4, 0x0010},
-{0x0119E5, 0x0080},
+{0x0119E5, 0x0001},
 {0x011A00, 0x0004},
 {0x011A01, 0x0010},
 {0x011A0B, 0x0004},
@@ -1723,7 +1735,7 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x011A3B, 0x0010},
 {0x011A3F, 0x0020},
 {0x011A47, 0x0010},
-{0x011A48, 0x0080},
+{0x011A48, 0x0001},
 {0x011A50, 0x0004},
 {0x011A51, 0x0010},
 {0x011A5C, 0x0004},
@@ -1731,117 +1743,117 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x011A9A, 0x0020},
 {0x011A9D, 0x0004},
 {0x011A9E, 0x0020},
-{0x011AA3, 0x0080},
+{0x011AA3, 0x0001},
 {0x011AB0, 0x0004},
-{0x011AF9, 0x0080},
+{0x011AF9, 0x0001},
 {0x011B00, 0x0020},
-{0x011B0A, 0x0080},
+{0x011B0A, 0x0001},
 {0x011C00, 0x0004},
-{0x011C09, 0x0080},
+{0x011C09, 0x0001},
 {0x011C0A, 0x0004},
 {0x011C2F, 0x0010},
-{0x011C37, 0x0080},
+{0x011C37, 0x0001},
 {0x011C38, 0x0010},
 {0x011C40, 0x0004},
 {0x011C41, 0x0020},
-{0x011C46, 0x0080},
+{0x011C46, 0x0001},
 {0x011C50, 0x0002},
-{0x011C6D, 0x0080},
+{0x011C6D, 0x0001},
 {0x011C70, 0x0020},
 {0x011C72, 0x0004},
-{0x011C90, 0x0080},
+{0x011C90, 0x0001},
 {0x011C92, 0x0010},
-{0x011CA8, 0x0080},
+{0x011CA8, 0x0001},
 {0x011CA9, 0x0010},
-{0x011CB7, 0x0080},
+{0x011CB7, 0x0001},
 {0x011D00, 0x0004},
-{0x011D07, 0x0080},
+{0x011D07, 0x0001},
 {0x011D08, 0x0004},
-{0x011D0A, 0x0080},
+{0x011D0A, 0x0001},
 {0x011D0B, 0x0004},
 {0x011D31, 0x0010},
-{0x011D37, 0x0080},
+{0x011D37, 0x0001},
 {0x011D3A, 0x0010},
-{0x011D3B, 0x0080},
+{0x011D3B, 0x0001},
 {0x011D3C, 0x0010},
-{0x011D3E, 0x0080},
+{0x011D3E, 0x0001},
 {0x011D3F, 0x0010},
 {0x011D46, 0x0004},
 {0x011D47, 0x0010},
-{0x011D48, 0x0080},
+{0x011D48, 0x0001},
 {0x011D50, 0x0002},
-{0x011D5A, 0x0080},
+{0x011D5A, 0x0001},
 {0x011D60, 0x0004},
-{0x011D66, 0x0080},
+{0x011D66, 0x0001},
 {0x011D67, 0x0004},
-{0x011D69, 0x0080},
+{0x011D69, 0x0001},
 {0x011D6A, 0x0004},
 {0x011D8A, 0x0010},
-{0x011D8F, 0x0080},
+{0x011D8F, 0x0001},
 {0x011D90, 0x0010},
-{0x011D92, 0x0080},
+{0x011D92, 0x0001},
 {0x011D93, 0x0010},
 {0x011D98, 0x0004},
-{0x011D99, 0x0080},
+{0x011D99, 0x0001},
 {0x011DA0, 0x0002},
-{0x011DAA, 0x0080},
+{0x011DAA, 0x0001},
 {0x011EE0, 0x0004},
 {0x011EF3, 0x0010},
 {0x011EF7, 0x0020},
-{0x011EF9, 0x0080},
+{0x011EF9, 0x0001},
 {0x011F00, 0x0010},
 {0x011F02, 0x0004},
 {0x011F03, 0x0010},
 {0x011F04, 0x0004},
-{0x011F11, 0x0080},
+{0x011F11, 0x0001},
 {0x011F12, 0x0004},
 {0x011F34, 0x0010},
-{0x011F3B, 0x0080},
+{0x011F3B, 0x0001},
 {0x011F3E, 0x0010},
 {0x011F43, 0x0020},
 {0x011F50, 0x0002},
-{0x011F5A, 0x0080},
+{0x011F5A, 0x0001},
 {0x011FB0, 0x0004},
-{0x011FB1, 0x0080},
+{0x011FB1, 0x0001},
 {0x011FC0, 0x0002},
 {0x011FD5, 0x0040},
-{0x011FF2, 0x0080},
+{0x011FF2, 0x0001},
 {0x011FFF, 0x0020},
 {0x012000, 0x0004},
-{0x01239A, 0x0080},
+{0x01239A, 0x0001},
 {0x012400, 0x0002},
-{0x01246F, 0x0080},
+{0x01246F, 0x0001},
 {0x012470, 0x0020},
-{0x012475, 0x0080},
+{0x012475, 0x0001},
 {0x012480, 0x0004},
-{0x012544, 0x0080},
+{0x012544, 0x0001},
 {0x012F90, 0x0004},
 {0x012FF1, 0x0020},
-{0x012FF3, 0x0080},
+{0x012FF3, 0x0001},
 {0x013000, 0x0004},
 {0x013430, 0x0080},
 {0x013440, 0x0010},
 {0x013441, 0x0004},
 {0x013447, 0x0010},
-{0x013456, 0x0080},
+{0x013456, 0x0001},
 {0x014400, 0x0004},
-{0x014647, 0x0080},
+{0x014647, 0x0001},
 {0x016800, 0x0004},
-{0x016A39, 0x0080},
+{0x016A39, 0x0001},
 {0x016A40, 0x0004},
-{0x016A5F, 0x0080},
+{0x016A5F, 0x0001},
 {0x016A60, 0x0002},
-{0x016A6A, 0x0080},
+{0x016A6A, 0x0001},
 {0x016A6E, 0x0020},
 {0x016A70, 0x0004},
-{0x016ABF, 0x0080},
+{0x016ABF, 0x0001},
 {0x016AC0, 0x0002},
-{0x016ACA, 0x0080},
+{0x016ACA, 0x0001},
 {0x016AD0, 0x0004},
-{0x016AEE, 0x0080},
+{0x016AEE, 0x0001},
 {0x016AF0, 0x0010},
 {0x016AF5, 0x0020},
-{0x016AF6, 0x0080},
+{0x016AF6, 0x0001},
 {0x016B00, 0x0004},
 {0x016B30, 0x0010},
 {0x016B37, 0x0020},
@@ -1849,81 +1861,82 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x016B40, 0x0004},
 {0x016B44, 0x0020},
 {0x016B45, 0x0040},
-{0x016B46, 0x0080},
+{0x016B46, 0x0001},
 {0x016B50, 0x0002},
-{0x016B5A, 0x0080},
+{0x016B5A, 0x0001},
 {0x016B5B, 0x0002},
-{0x016B62, 0x0080},
+{0x016B62, 0x0001},
 {0x016B63, 0x0004},
-{0x016B78, 0x0080},
+{0x016B78, 0x0001},
 {0x016B7D, 0x0004},
-{0x016B90, 0x0080},
+{0x016B90, 0x0001},
 {0x016E40, 0x0004},
 {0x016E80, 0x0002},
 {0x016E97, 0x0020},
-{0x016E9B, 0x0080},
+{0x016E9B, 0x0001},
 {0x016F00, 0x0004},
-{0x016F4B, 0x0080},
+{0x016F4B, 0x0001},
 {0x016F4F, 0x0010},
 {0x016F50, 0x0004},
 {0x016F51, 0x0010},
-{0x016F88, 0x0080},
+{0x016F88, 0x0001},
 {0x016F8F, 0x0010},
 {0x016F93, 0x0004},
-{0x016FA0, 0x0080},
+{0x016FA0, 0x0001},
 {0x016FE0, 0x0004},
 {0x016FE2, 0x0020},
 {0x016FE3, 0x0004},
 {0x016FE4, 0x0010},
-{0x016FE5, 0x0080},
+{0x016FE5, 0x0001},
 {0x016FF0, 0x0010},
-{0x016FF2, 0x0080},
+{0x016FF2, 0x0001},
 {0x017000, 0x0004},
-{0x0187F8, 0x0080},
+{0x0187F8, 0x0001},
 {0x018800, 0x0004},
-{0x018CD6, 0x0080},
+{0x018CD6, 0x0001},
 {0x018D00, 0x0004},
-{0x018D09, 0x0080},
+{0x018D09, 0x0001},
 {0x01AFF0, 0x0004},
-{0x01AFF4, 0x0080},
+{0x01AFF4, 0x0001},
 {0x01AFF5, 0x0004},
-{0x01AFFC, 0x0080},
+{0x01AFFC, 0x0001},
 {0x01AFFD, 0x0004},
-{0x01AFFF, 0x0080},
+{0x01AFFF, 0x0001},
 {0x01B000, 0x0004},
-{0x01B123, 0x0080},
+{0x01B123, 0x0001},
 {0x01B132, 0x0004},
-{0x01B133, 0x0080},
+{0x01B133, 0x0001},
 {0x01B150, 0x0004},
-{0x01B153, 0x0080},
+{0x01B153, 0x0001},
 {0x01B155, 0x0004},
-{0x01B156, 0x0080},
+{0x01B156, 0x0001},
 {0x01B164, 0x0004},
-{0x01B168, 0x0080},
+{0x01B168, 0x0001},
 {0x01B170, 0x0004},
-{0x01B2FC, 0x0080},
+{0x01B2FC, 0x0001},
 {0x01BC00, 0x0004},
-{0x01BC6B, 0x0080},
+{0x01BC6B, 0x0001},
 {0x01BC70, 0x0004},
-{0x01BC7D, 0x0080},
+{0x01BC7D, 0x0001},
 {0x01BC80, 0x0004},
-{0x01BC89, 0x0080},
+{0x01BC89, 0x0001},
 {0x01BC90, 0x0004},
-{0x01BC9A, 0x0080},
+{0x01BC9A, 0x0001},
 {0x01BC9C, 0x0040},
 {0x01BC9D, 0x0010},
 {0x01BC9F, 0x0020},
 {0x01BCA0, 0x0080},
+{0x01BCA4, 0x0001},
 {0x01CF00, 0x0010},
-{0x01CF2E, 0x0080},
+{0x01CF2E, 0x0001},
 {0x01CF30, 0x0010},
-{0x01CF47, 0x0080},
+{0x01CF47, 0x0001},
 {0x01CF50, 0x0040},
-{0x01CFC4, 0x0080},
+{0x01CFC4, 0x0001},
 {0x01D000, 0x0040},
-{0x01D0F6, 0x0080},
+{0x01D0F6, 0x0001},
 {0x01D100, 0x0040},
-{0x01D127, 0x0080},
+{0x01D127, 0x0001},
 {0x01D129, 0x0040},
 {0x01D165, 0x0010},
 {0x01D16A, 0x0040},
@@ -1935,57 +1948,57 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x01D18C, 0x0040},
 {0x01D1AA, 0x0010},
 {0x01D1AE, 0x0040},
-{0x01D1EB, 0x0080},
+{0x01D1EB, 0x0001},
 {0x01D200, 0x0040},
 {0x01D242, 0x0010},
 {0x01D245, 0x0040},
-{0x01D246, 0x0080},
+{0x01D246, 0x0001},
 {0x01D2C0, 0x0002},
-{0x01D2D4, 0x0080},
+{0x01D2D4, 0x0001},
 {0x01D2E0, 0x0002},
-{0x01D2F4, 0x0080},
+{0x01D2F4, 0x0001},
 {0x01D300, 0x0040},
-{0x01D357, 0x0080},
+{0x01D357, 0x0001},
 {0x01D360, 0x0002},
-{0x01D379, 0x0080},
+{0x01D379, 0x0001},
 {0x01D400, 0x0004},
-{0x01D455, 0x0080},
+{0x01D455, 0x0001},
 {0x01D456, 0x0004},
-{0x01D49D, 0x0080},
+{0x01D49D, 0x0001},
 {0x01D49E, 0x0004},
-{0x01D4A0, 0x0080},
+{0x01D4A0, 0x0001},
 {0x01D4A2, 0x0004},
-{0x01D4A3, 0x0080},
+{0x01D4A3, 0x0001},
 {0x01D4A5, 0x0004},
-{0x01D4A7, 0x0080},
+{0x01D4A7, 0x0001},
 {0x01D4A9, 0x0004},
-{0x01D4AD, 0x0080},
+{0x01D4AD, 0x0001},
 {0x01D4AE, 0x0004},
-{0x01D4BA, 0x0080},
+{0x01D4BA, 0x0001},
 {0x01D4BB, 0x0004},
-{0x01D4BC, 0x0080},
+{0x01D4BC, 0x0001},
 {0x01D4BD, 0x0004},
-{0x01D4C4, 0x0080},
+{0x01D4C4, 0x0001},
 {0x01D4C5, 0x0004},
-{0x01D506, 0x0080},
+{0x01D506, 0x0001},
 {0x01D507, 0x0004},
-{0x01D50B, 0x0080},
+{0x01D50B, 0x0001},
 {0x01D50D, 0x0004},
-{0x01D515, 0x0080},
+{0x01D515, 0x0001},
 {0x01D516, 0x0004},
-{0x01D51D, 0x0080},
+{0x01D51D, 0x0001},
 {0x01D51E, 0x0004},
-{0x01D53A, 0x0080},
+{0x01D53A, 0x0001},
 {0x01D53B, 0x0004},
-{0x01D53F, 0x0080},
+{0x01D53F, 0x0001},
 {0x01D540, 0x0004},
-{0x01D545, 0x0080},
+{0x01D545, 0x0001},
 {0x01D546, 0x0004},
-{0x01D547, 0x0080},
+{0x01D547, 0x0001},
 {0x01D54A, 0x0004},
-{0x01D551, 0x0080},
+{0x01D551, 0x0001},
 {0x01D552, 0x0004},
-{0x01D6A6, 0x0080},
+{0x01D6A6, 0x0001},
 {0x01D6A8, 0x0004},
 {0x01D6C1, 0x0040},
 {0x01D6C2, 0x0004},
@@ -2007,7 +2020,7 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x01D7AA, 0x0004},
 {0x01D7C3, 0x0040},
 {0x01D7C4, 0x0004},
-{0x01D7CC, 0x0080},
+{0x01D7CC, 0x0001},
 {0x01D7CE, 0x0002},
 {0x01D800, 0x0040},
 {0x01DA00, 0x0010},
@@ -2019,251 +2032,283 @@ const std::vector<std::pair<uint32_t, uint16_t>> unicode_ranges_flags = {  // st
 {0x01DA84, 0x0010},
 {0x01DA85, 0x0040},
 {0x01DA87, 0x0020},
-{0x01DA8C, 0x0080},
+{0x01DA8C, 0x0001},
 {0x01DA9B, 0x0010},
-{0x01DAA0, 0x0080},
+{0x01DAA0, 0x0001},
 {0x01DAA1, 0x0010},
-{0x01DAB0, 0x0080},
+{0x01DAB0, 0x0001},
 {0x01DF00, 0x0004},
-{0x01DF1F, 0x0080},
+{0x01DF1F, 0x0001},
 {0x01DF25, 0x0004},
-{0x01DF2B, 0x0080},
+{0x01DF2B, 0x0001},
 {0x01E000, 0x0010},
-{0x01E007, 0x0080},
+{0x01E007, 0x0001},
 {0x01E008, 0x0010},
-{0x01E019, 0x0080},
+{0x01E019, 0x0001},
 {0x01E01B, 0x0010},
-{0x01E022, 0x0080},
+{0x01E022, 0x0001},
 {0x01E023, 0x0010},
-{0x01E025, 0x0080},
+{0x01E025, 0x0001},
 {0x01E026, 0x0010},
-{0x01E02B, 0x0080},
+{0x01E02B, 0x0001},
 {0x01E030, 0x0004},
-{0x01E06E, 0x0080},
+{0x01E06E, 0x0001},
 {0x01E08F, 0x0010},
-{0x01E090, 0x0080},
+{0x01E090, 0x0001},
 {0x01E100, 0x0004},
-{0x01E12D, 0x0080},
+{0x01E12D, 0x0001},
 {0x01E130, 0x0010},
 {0x01E137, 0x0004},
-{0x01E13E, 0x0080},
+{0x01E13E, 0x0001},
 {0x01E140, 0x0002},
-{0x01E14A, 0x0080},
+{0x01E14A, 0x0001},
 {0x01E14E, 0x0004},
 {0x01E14F, 0x0040},
-{0x01E150, 0x0080},
+{0x01E150, 0x0001},
 {0x01E290, 0x0004},
 {0x01E2AE, 0x0010},
-{0x01E2AF, 0x0080},
+{0x01E2AF, 0x0001},
 {0x01E2C0, 0x0004},
 {0x01E2EC, 0x0010},
 {0x01E2F0, 0x0002},
-{0x01E2FA, 0x0080},
+{0x01E2FA, 0x0001},
 {0x01E2FF, 0x0040},
-{0x01E300, 0x0080},
+{0x01E300, 0x0001},
 {0x01E4D0, 0x0004},
 {0x01E4EC, 0x0010},
 {0x01E4F0, 0x0002},
-{0x01E4FA, 0x0080},
+{0x01E4FA, 0x0001},
 {0x01E7E0, 0x0004},
-{0x01E7E7, 0x0080},
+{0x01E7E7, 0x0001},
 {0x01E7E8, 0x0004},
-{0x01E7EC, 0x0080},
+{0x01E7EC, 0x0001},
 {0x01E7ED, 0x0004},
-{0x01E7EF, 0x0080},
+{0x01E7EF, 0x0001},
 {0x01E7F0, 0x0004},
-{0x01E7FF, 0x0080},
+{0x01E7FF, 0x0001},
 {0x01E800, 0x0004},
-{0x01E8C5, 0x0080},
+{0x01E8C5, 0x0001},
 {0x01E8C7, 0x0002},
 {0x01E8D0, 0x0010},
-{0x01E8D7, 0x0080},
+{0x01E8D7, 0x0001},
 {0x01E900, 0x0004},
 {0x01E944, 0x0010},
 {0x01E94B, 0x0004},
-{0x01E94C, 0x0080},
+{0x01E94C, 0x0001},
 {0x01E950, 0x0002},
-{0x01E95A, 0x0080},
+{0x01E95A, 0x0001},
 {0x01E95E, 0x0020},
-{0x01E960, 0x0080},
+{0x01E960, 0x0001},
 {0x01EC71, 0x0002},
 {0x01ECAC, 0x0040},
 {0x01ECAD, 0x0002},
 {0x01ECB0, 0x0040},
 {0x01ECB1, 0x0002},
-{0x01ECB5, 0x0080},
+{0x01ECB5, 0x0001},
 {0x01ED01, 0x0002},
 {0x01ED2E, 0x0040},
 {0x01ED2F, 0x0002},
-{0x01ED3E, 0x0080},
+{0x01ED3E, 0x0001},
 {0x01EE00, 0x0004},
-{0x01EE04, 0x0080},
+{0x01EE04, 0x0001},
 {0x01EE05, 0x0004},
-{0x01EE20, 0x0080},
+{0x01EE20, 0x0001},
 {0x01EE21, 0x0004},
-{0x01EE23, 0x0080},
+{0x01EE23, 0x0001},
 {0x01EE24, 0x0004},
-{0x01EE25, 0x0080},
+{0x01EE25, 0x0001},
 {0x01EE27, 0x0004},
-{0x01EE28, 0x0080},
+{0x01EE28, 0x0001},
 {0x01EE29, 0x0004},
-{0x01EE33, 0x0080},
+{0x01EE33, 0x0001},
 {0x01EE34, 0x0004},
-{0x01EE38, 0x0080},
+{0x01EE38, 0x0001},
 {0x01EE39, 0x0004},
-{0x01EE3A, 0x0080},
+{0x01EE3A, 0x0001},
 {0x01EE3B, 0x0004},
-{0x01EE3C, 0x0080},
+{0x01EE3C, 0x0001},
 {0x01EE42, 0x0004},
-{0x01EE43, 0x0080},
+{0x01EE43, 0x0001},
 {0x01EE47, 0x0004},
-{0x01EE48, 0x0080},
+{0x01EE48, 0x0001},
 {0x01EE49, 0x0004},
-{0x01EE4A, 0x0080},
+{0x01EE4A, 0x0001},
 {0x01EE4B, 0x0004},
-{0x01EE4C, 0x0080},
+{0x01EE4C, 0x0001},
 {0x01EE4D, 0x0004},
-{0x01EE50, 0x0080},
+{0x01EE50, 0x0001},
 {0x01EE51, 0x0004},
-{0x01EE53, 0x0080},
+{0x01EE53, 0x0001},
 {0x01EE54, 0x0004},
-{0x01EE55, 0x0080},
+{0x01EE55, 0x0001},
 {0x01EE57, 0x0004},
-{0x01EE58, 0x0080},
+{0x01EE58, 0x0001},
 {0x01EE59, 0x0004},
-{0x01EE5A, 0x0080},
+{0x01EE5A, 0x0001},
 {0x01EE5B, 0x0004},
-{0x01EE5C, 0x0080},
+{0x01EE5C, 0x0001},
 {0x01EE5D, 0x0004},
-{0x01EE5E, 0x0080},
+{0x01EE5E, 0x0001},
 {0x01EE5F, 0x0004},
-{0x01EE60, 0x0080},
+{0x01EE60, 0x0001},
 {0x01EE61, 0x0004},
-{0x01EE63, 0x0080},
+{0x01EE63, 0x0001},
 {0x01EE64, 0x0004},
-{0x01EE65, 0x0080},
+{0x01EE65, 0x0001},
 {0x01EE67, 0x0004},
-{0x01EE6B, 0x0080},
+{0x01EE6B, 0x0001},
 {0x01EE6C, 0x0004},
-{0x01EE73, 0x0080},
+{0x01EE73, 0x0001},
 {0x01EE74, 0x0004},
-{0x01EE78, 0x0080},
+{0x01EE78, 0x0001},
 {0x01EE79, 0x0004},
-{0x01EE7D, 0x0080},
+{0x01EE7D, 0x0001},
 {0x01EE7E, 0x0004},
-{0x01EE7F, 0x0080},
+{0x01EE7F, 0x0001},
 {0x01EE80, 0x0004},
-{0x01EE8A, 0x0080},
+{0x01EE8A, 0x0001},
 {0x01EE8B, 0x0004},
-{0x01EE9C, 0x0080},
+{0x01EE9C, 0x0001},
 {0x01EEA1, 0x0004},
-{0x01EEA4, 0x0080},
+{0x01EEA4, 0x0001},
 {0x01EEA5, 0x0004},
-{0x01EEAA, 0x0080},
+{0x01EEAA, 0x0001},
 {0x01EEAB, 0x0004},
-{0x01EEBC, 0x0080},
+{0x01EEBC, 0x0001},
 {0x01EEF0, 0x0040},
-{0x01EEF2, 0x0080},
+{0x01EEF2, 0x0001},
 {0x01F000, 0x0040},
-{0x01F02C, 0x0080},
+{0x01F02C, 0x0001},
 {0x01F030, 0x0040},
-{0x01F094, 0x0080},
+{0x01F094, 0x0001},
 {0x01F0A0, 0x0040},
-{0x01F0AF, 0x0080},
+{0x01F0AF, 0x0001},
 {0x01F0B1, 0x0040},
-{0x01F0C0, 0x0080},
+{0x01F0C0, 0x0001},
 {0x01F0C1, 0x0040},
-{0x01F0D0, 0x0080},
+{0x01F0D0, 0x0001},
 {0x01F0D1, 0x0040},
-{0x01F0F6, 0x0080},
+{0x01F0F6, 0x0001},
 {0x01F100, 0x0002},
 {0x01F10D, 0x0040},
-{0x01F1AE, 0x0080},
+{0x01F1AE, 0x0001},
 {0x01F1E6, 0x0040},
-{0x01F203, 0x0080},
+{0x01F203, 0x0001},
 {0x01F210, 0x0040},
-{0x01F23C, 0x0080},
+{0x01F23C, 0x0001},
 {0x01F240, 0x0040},
-{0x01F249, 0x0080},
+{0x01F249, 0x0001},
 {0x01F250, 0x0040},
-{0x01F252, 0x0080},
+{0x01F252, 0x0001},
 {0x01F260, 0x0040},
-{0x01F266, 0x0080},
+{0x01F266, 0x0001},
 {0x01F300, 0x0040},
-{0x01F6D8, 0x0080},
+{0x01F6D8, 0x0001},
 {0x01F6DC, 0x0040},
-{0x01F6ED, 0x0080},
+{0x01F6ED, 0x0001},
 {0x01F6F0, 0x0040},
-{0x01F6FD, 0x0080},
+{0x01F6FD, 0x0001},
 {0x01F700, 0x0040},
-{0x01F777, 0x0080},
+{0x01F777, 0x0001},
 {0x01F77B, 0x0040},
-{0x01F7DA, 0x0080},
+{0x01F7DA, 0x0001},
 {0x01F7E0, 0x0040},
-{0x01F7EC, 0x0080},
+{0x01F7EC, 0x0001},
 {0x01F7F0, 0x0040},
-{0x01F7F1, 0x0080},
+{0x01F7F1, 0x0001},
 {0x01F800, 0x0040},
-{0x01F80C, 0x0080},
+{0x01F80C, 0x0001},
 {0x01F810, 0x0040},
-{0x01F848, 0x0080},
+{0x01F848, 0x0001},
 {0x01F850, 0x0040},
-{0x01F85A, 0x0080},
+{0x01F85A, 0x0001},
 {0x01F860, 0x0040},
-{0x01F888, 0x0080},
+{0x01F888, 0x0001},
 {0x01F890, 0x0040},
-{0x01F8AE, 0x0080},
+{0x01F8AE, 0x0001},
 {0x01F8B0, 0x0040},
-{0x01F8B2, 0x0080},
+{0x01F8B2, 0x0001},
 {0x01F900, 0x0040},
-{0x01FA54, 0x0080},
+{0x01FA54, 0x0001},
 {0x01FA60, 0x0040},
-{0x01FA6E, 0x0080},
+{0x01FA6E, 0x0001},
 {0x01FA70, 0x0040},
-{0x01FA7D, 0x0080},
+{0x01FA7D, 0x0001},
 {0x01FA80, 0x0040},
-{0x01FA89, 0x0080},
+{0x01FA89, 0x0001},
 {0x01FA90, 0x0040},
-{0x01FABE, 0x0080},
+{0x01FABE, 0x0001},
 {0x01FABF, 0x0040},
-{0x01FAC6, 0x0080},
+{0x01FAC6, 0x0001},
 {0x01FACE, 0x0040},
-{0x01FADC, 0x0080},
+{0x01FADC, 0x0001},
 {0x01FAE0, 0x0040},
-{0x01FAE9, 0x0080},
+{0x01FAE9, 0x0001},
 {0x01FAF0, 0x0040},
-{0x01FAF9, 0x0080},
+{0x01FAF9, 0x0001},
 {0x01FB00, 0x0040},
-{0x01FB93, 0x0080},
+{0x01FB93, 0x0001},
 {0x01FB94, 0x0040},
-{0x01FBCB, 0x0080},
+{0x01FBCB, 0x0001},
 {0x01FBF0, 0x0002},
-{0x01FBFA, 0x0080},
+{0x01FBFA, 0x0001},
 {0x020000, 0x0004},
-{0x02A6E0, 0x0080},
+{0x02A6E0, 0x0001},
 {0x02A700, 0x0004},
-{0x02B73A, 0x0080},
+{0x02B73A, 0x0001},
 {0x02B740, 0x0004},
-{0x02B81E, 0x0080},
+{0x02B81E, 0x0001},
 {0x02B820, 0x0004},
-{0x02CEA2, 0x0080},
+{0x02CEA2, 0x0001},
 {0x02CEB0, 0x0004},
-{0x02EBE1, 0x0080},
+{0x02EBE1, 0x0001},
 {0x02EBF0, 0x0004},
-{0x02EE5E, 0x0080},
+{0x02EE5E, 0x0001},
 {0x02F800, 0x0004},
-{0x02FA1E, 0x0080},
+{0x02FA1E, 0x0001},
 {0x030000, 0x0004},
-{0x03134B, 0x0080},
+{0x03134B, 0x0001},
 {0x031350, 0x0004},
-{0x0323B0, 0x0080},
+{0x0323B0, 0x0001},
+{0x0E0001, 0x0080},
+{0x0E0002, 0x0001},
+{0x0E0020, 0x0080},
+{0x0E0080, 0x0001},
 {0x0E0100, 0x0010},
-{0x0E01F0, 0x0080},
+{0x0E01F0, 0x0001},
+{0x0F0000, 0x0080},
+{0x0FFFFE, 0x0001},
+{0x100000, 0x0080},
+{0x10FFFE, 0x0001},
 {0x110000, 0x0000},
 };
 
 const std::unordered_set<uint32_t> unicode_set_whitespace = {
-0x000009, 0x00000A, 0x00000B, 0x00000C, 0x00000D, 0x000020, 0x000085, 0x0000A0, 0x001680, 0x002000, 0x002001, 0x002002, 0x002003, 0x002004, 0x002005, 0x002006, 0x002007, 0x002008, 0x002009, 0x00200A, 0x002028, 0x002029, 0x00202F, 0x00205F, 0x003000
+0x000009,
+0x00000A,
+0x00000B,
+0x00000C,
+0x00000D,
+0x000020,
+0x000085,
+0x0000A0,
+0x001680,
+0x002000,
+0x002001,
+0x002002,
+0x002003,
+0x002004,
+0x002005,
+0x002006,
+0x002007,
+0x002008,
+0x002009,
+0x00200A,
+0x002028,
+0x002029,
+0x00202F,
+0x00205F,
+0x003000,
 };
 
 const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
@@ -3222,6 +3267,7 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
 {0x002C2C, 0x002C5C},
 {0x002C2D, 0x002C5D},
 {0x002C2E, 0x002C5E},
+{0x002C2F, 0x002C5F},
 {0x002C60, 0x002C61},
 {0x002C62, 0x00026B},
 {0x002C63, 0x001D7D},
@@ -3402,12 +3448,16 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
 {0x00A7BA, 0x00A7BB},
 {0x00A7BC, 0x00A7BD},
 {0x00A7BE, 0x00A7BF},
+{0x00A7C0, 0x00A7C1},
 {0x00A7C2, 0x00A7C3},
 {0x00A7C4, 0x00A794},
 {0x00A7C5, 0x000282},
 {0x00A7C6, 0x001D8E},
 {0x00A7C7, 0x00A7C8},
 {0x00A7C9, 0x00A7CA},
+{0x00A7D0, 0x00A7D1},
+{0x00A7D6, 0x00A7D7},
+{0x00A7D8, 0x00A7D9},
 {0x00A7F5, 0x00A7F6},
 {0x00FF21, 0x00FF41},
 {0x00FF22, 0x00FF42},
@@ -3511,6 +3561,41 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_lowercase = {
 {0x0104D1, 0x0104F9},
 {0x0104D2, 0x0104FA},
 {0x0104D3, 0x0104FB},
+{0x010570, 0x010597},
+{0x010571, 0x010598},
+{0x010572, 0x010599},
+{0x010573, 0x01059A},
+{0x010574, 0x01059B},
+{0x010575, 0x01059C},
+{0x010576, 0x01059D},
+{0x010577, 0x01059E},
+{0x010578, 0x01059F},
+{0x010579, 0x0105A0},
+{0x01057A, 0x0105A1},
+{0x01057C, 0x0105A3},
+{0x01057D, 0x0105A4},
+{0x01057E, 0x0105A5},
+{0x01057F, 0x0105A6},
+{0x010580, 0x0105A7},
+{0x010581, 0x0105A8},
+{0x010582, 0x0105A9},
+{0x010583, 0x0105AA},
+{0x010584, 0x0105AB},
+{0x010585, 0x0105AC},
+{0x010586, 0x0105AD},
+{0x010587, 0x0105AE},
+{0x010588, 0x0105AF},
+{0x010589, 0x0105B0},
+{0x01058A, 0x0105B1},
+{0x01058C, 0x0105B3},
+{0x01058D, 0x0105B4},
+{0x01058E, 0x0105B5},
+{0x01058F, 0x0105B6},
+{0x010590, 0x0105B7},
+{0x010591, 0x0105B8},
+{0x010592, 0x0105B9},
+{0x010594, 0x0105BB},
+{0x010595, 0x0105BC},
 {0x010C80, 0x010CC0},
 {0x010C81, 0x010CC1},
 {0x010C82, 0x010CC2},
@@ -3690,7 +3775,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x000079, 0x000059},
 {0x00007A, 0x00005A},
 {0x0000B5, 0x00039C},
-{0x0000DF, 0x000053},
 {0x0000E0, 0x0000C0},
 {0x0000E1, 0x0000C1},
 {0x0000E2, 0x0000C2},
@@ -3758,7 +3842,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x000144, 0x000143},
 {0x000146, 0x000145},
 {0x000148, 0x000147},
-{0x000149, 0x0002BC},
 {0x00014B, 0x00014A},
 {0x00014D, 0x00014C},
 {0x00014F, 0x00014E},
@@ -3831,7 +3914,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x0001EB, 0x0001EA},
 {0x0001ED, 0x0001EC},
 {0x0001EF, 0x0001EE},
-{0x0001F0, 0x00004A},
 {0x0001F2, 0x0001F1},
 {0x0001F3, 0x0001F1},
 {0x0001F5, 0x0001F4},
@@ -3917,12 +3999,10 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x00037B, 0x0003FD},
 {0x00037C, 0x0003FE},
 {0x00037D, 0x0003FF},
-{0x000390, 0x000399},
 {0x0003AC, 0x000386},
 {0x0003AD, 0x000388},
 {0x0003AE, 0x000389},
 {0x0003AF, 0x00038A},
-{0x0003B0, 0x0003A5},
 {0x0003B1, 0x000391},
 {0x0003B2, 0x000392},
 {0x0003B3, 0x000393},
@@ -4163,7 +4243,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x000584, 0x000554},
 {0x000585, 0x000555},
 {0x000586, 0x000556},
-{0x000587, 0x000535},
 {0x0010D0, 0x001C90},
 {0x0010D1, 0x001C91},
 {0x0010D2, 0x001C92},
@@ -4303,11 +4382,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x001E91, 0x001E90},
 {0x001E93, 0x001E92},
 {0x001E95, 0x001E94},
-{0x001E96, 0x000048},
-{0x001E97, 0x000054},
-{0x001E98, 0x000057},
-{0x001E99, 0x000059},
-{0x001E9A, 0x000041},
 {0x001E9B, 0x001E60},
 {0x001EA1, 0x001EA0},
 {0x001EA3, 0x001EA2},
@@ -4393,13 +4467,9 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x001F43, 0x001F4B},
 {0x001F44, 0x001F4C},
 {0x001F45, 0x001F4D},
-{0x001F50, 0x0003A5},
 {0x001F51, 0x001F59},
-{0x001F52, 0x0003A5},
 {0x001F53, 0x001F5B},
-{0x001F54, 0x0003A5},
 {0x001F55, 0x001F5D},
-{0x001F56, 0x0003A5},
 {0x001F57, 0x001F5F},
 {0x001F60, 0x001F68},
 {0x001F61, 0x001F69},
@@ -4423,89 +4493,41 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x001F7B, 0x001FEB},
 {0x001F7C, 0x001FFA},
 {0x001F7D, 0x001FFB},
-{0x001F80, 0x001F08},
-{0x001F81, 0x001F09},
-{0x001F82, 0x001F0A},
-{0x001F83, 0x001F0B},
-{0x001F84, 0x001F0C},
-{0x001F85, 0x001F0D},
-{0x001F86, 0x001F0E},
-{0x001F87, 0x001F0F},
-{0x001F88, 0x001F08},
-{0x001F89, 0x001F09},
-{0x001F8A, 0x001F0A},
-{0x001F8B, 0x001F0B},
-{0x001F8C, 0x001F0C},
-{0x001F8D, 0x001F0D},
-{0x001F8E, 0x001F0E},
-{0x001F8F, 0x001F0F},
-{0x001F90, 0x001F28},
-{0x001F91, 0x001F29},
-{0x001F92, 0x001F2A},
-{0x001F93, 0x001F2B},
-{0x001F94, 0x001F2C},
-{0x001F95, 0x001F2D},
-{0x001F96, 0x001F2E},
-{0x001F97, 0x001F2F},
-{0x001F98, 0x001F28},
-{0x001F99, 0x001F29},
-{0x001F9A, 0x001F2A},
-{0x001F9B, 0x001F2B},
-{0x001F9C, 0x001F2C},
-{0x001F9D, 0x001F2D},
-{0x001F9E, 0x001F2E},
-{0x001F9F, 0x001F2F},
-{0x001FA0, 0x001F68},
-{0x001FA1, 0x001F69},
-{0x001FA2, 0x001F6A},
-{0x001FA3, 0x001F6B},
-{0x001FA4, 0x001F6C},
-{0x001FA5, 0x001F6D},
-{0x001FA6, 0x001F6E},
-{0x001FA7, 0x001F6F},
-{0x001FA8, 0x001F68},
-{0x001FA9, 0x001F69},
-{0x001FAA, 0x001F6A},
-{0x001FAB, 0x001F6B},
-{0x001FAC, 0x001F6C},
-{0x001FAD, 0x001F6D},
-{0x001FAE, 0x001F6E},
-{0x001FAF, 0x001F6F},
+{0x001F80, 0x001F88},
+{0x001F81, 0x001F89},
+{0x001F82, 0x001F8A},
+{0x001F83, 0x001F8B},
+{0x001F84, 0x001F8C},
+{0x001F85, 0x001F8D},
+{0x001F86, 0x001F8E},
+{0x001F87, 0x001F8F},
+{0x001F90, 0x001F98},
+{0x001F91, 0x001F99},
+{0x001F92, 0x001F9A},
+{0x001F93, 0x001F9B},
+{0x001F94, 0x001F9C},
+{0x001F95, 0x001F9D},
+{0x001F96, 0x001F9E},
+{0x001F97, 0x001F9F},
+{0x001FA0, 0x001FA8},
+{0x001FA1, 0x001FA9},
+{0x001FA2, 0x001FAA},
+{0x001FA3, 0x001FAB},
+{0x001FA4, 0x001FAC},
+{0x001FA5, 0x001FAD},
+{0x001FA6, 0x001FAE},
+{0x001FA7, 0x001FAF},
 {0x001FB0, 0x001FB8},
 {0x001FB1, 0x001FB9},
-{0x001FB2, 0x001FBA},
-{0x001FB3, 0x000391},
-{0x001FB4, 0x000386},
-{0x001FB6, 0x000391},
-{0x001FB7, 0x000391},
-{0x001FBC, 0x000391},
+{0x001FB3, 0x001FBC},
 {0x001FBE, 0x000399},
-{0x001FC2, 0x001FCA},
-{0x001FC3, 0x000397},
-{0x001FC4, 0x000389},
-{0x001FC6, 0x000397},
-{0x001FC7, 0x000397},
-{0x001FCC, 0x000397},
+{0x001FC3, 0x001FCC},
 {0x001FD0, 0x001FD8},
 {0x001FD1, 0x001FD9},
-{0x001FD2, 0x000399},
-{0x001FD3, 0x000399},
-{0x001FD6, 0x000399},
-{0x001FD7, 0x000399},
 {0x001FE0, 0x001FE8},
 {0x001FE1, 0x001FE9},
-{0x001FE2, 0x0003A5},
-{0x001FE3, 0x0003A5},
-{0x001FE4, 0x0003A1},
 {0x001FE5, 0x001FEC},
-{0x001FE6, 0x0003A5},
-{0x001FE7, 0x0003A5},
-{0x001FF2, 0x001FFA},
-{0x001FF3, 0x0003A9},
-{0x001FF4, 0x00038F},
-{0x001FF6, 0x0003A9},
-{0x001FF7, 0x0003A9},
-{0x001FFC, 0x0003A9},
+{0x001FF3, 0x001FFC},
 {0x00214E, 0x002132},
 {0x002170, 0x002160},
 {0x002171, 0x002161},
@@ -4597,6 +4619,7 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x002C5C, 0x002C2C},
 {0x002C5D, 0x002C2D},
 {0x002C5E, 0x002C2E},
+{0x002C5F, 0x002C2F},
 {0x002C61, 0x002C60},
 {0x002C65, 0x00023A},
 {0x002C66, 0x00023E},
@@ -4800,9 +4823,13 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x00A7BB, 0x00A7BA},
 {0x00A7BD, 0x00A7BC},
 {0x00A7BF, 0x00A7BE},
+{0x00A7C1, 0x00A7C0},
 {0x00A7C3, 0x00A7C2},
 {0x00A7C8, 0x00A7C7},
 {0x00A7CA, 0x00A7C9},
+{0x00A7D1, 0x00A7D0},
+{0x00A7D7, 0x00A7D6},
+{0x00A7D9, 0x00A7D8},
 {0x00A7F6, 0x00A7F5},
 {0x00AB53, 0x00A7B3},
 {0x00AB70, 0x0013A0},
@@ -4885,18 +4912,6 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x00ABBD, 0x0013ED},
 {0x00ABBE, 0x0013EE},
 {0x00ABBF, 0x0013EF},
-{0x00FB00, 0x000046},
-{0x00FB01, 0x000046},
-{0x00FB02, 0x000046},
-{0x00FB03, 0x000046},
-{0x00FB04, 0x000046},
-{0x00FB05, 0x000053},
-{0x00FB06, 0x000053},
-{0x00FB13, 0x000544},
-{0x00FB14, 0x000544},
-{0x00FB15, 0x000544},
-{0x00FB16, 0x00054E},
-{0x00FB17, 0x000544},
 {0x00FF41, 0x00FF21},
 {0x00FF42, 0x00FF22},
 {0x00FF43, 0x00FF23},
@@ -4999,6 +5014,41 @@ const std::unordered_map<uint32_t, uint32_t> unicode_map_uppercase = {
 {0x0104F9, 0x0104D1},
 {0x0104FA, 0x0104D2},
 {0x0104FB, 0x0104D3},
+{0x010597, 0x010570},
+{0x010598, 0x010571},
+{0x010599, 0x010572},
+{0x01059A, 0x010573},
+{0x01059B, 0x010574},
+{0x01059C, 0x010575},
+{0x01059D, 0x010576},
+{0x01059E, 0x010577},
+{0x01059F, 0x010578},
+{0x0105A0, 0x010579},
+{0x0105A1, 0x01057A},
+{0x0105A3, 0x01057C},
+{0x0105A4, 0x01057D},
+{0x0105A5, 0x01057E},
+{0x0105A6, 0x01057F},
+{0x0105A7, 0x010580},
+{0x0105A8, 0x010581},
+{0x0105A9, 0x010582},
+{0x0105AA, 0x010583},
+{0x0105AB, 0x010584},
+{0x0105AC, 0x010585},
+{0x0105AD, 0x010586},
+{0x0105AE, 0x010587},
+{0x0105AF, 0x010588},
+{0x0105B0, 0x010589},
+{0x0105B1, 0x01058A},
+{0x0105B3, 0x01058C},
+{0x0105B4, 0x01058D},
+{0x0105B5, 0x01058E},
+{0x0105B6, 0x01058F},
+{0x0105B7, 0x010590},
+{0x0105B8, 0x010591},
+{0x0105B9, 0x010592},
+{0x0105BB, 0x010594},
+{0x0105BC, 0x010595},
 {0x010CC0, 0x010C80},
 {0x010CC1, 0x010C81},
 {0x010CC2, 0x010C82},
diff --git a/unicode.cpp b/unicode.cpp
index 2f8d73832..913c34b9b 100644
--- a/unicode.cpp
+++ b/unicode.cpp
@@ -226,8 +226,9 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
         assert(offset_end <= cpts.size());
         start = offset_end;
 
+        static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF;
         auto _get_cpt = [&] (const size_t pos) -> uint32_t {
-            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
+            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE;
         };
 
         auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
@@ -309,7 +310,7 @@ static std::vector<size_t> unicode_regex_split_custom_gpt2(const std::string & t
             }
 
             // regex: \s+(?!\S)
-            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) {
+            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) {
                 pos += num_whitespaces - 1;
                 _add_token(pos);
                 continue;
@@ -344,8 +345,9 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
         assert(offset_end <= cpts.size());
         start = offset_end;
 
+        static const uint32_t OUT_OF_RANGE = 0xFFFFFFFF;
         auto _get_cpt = [&] (const size_t pos) -> uint32_t {
-            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : 0;
+            return (offset_ini <= pos && pos < offset_end) ? cpts[pos] : OUT_OF_RANGE;
         };
 
         auto _get_flags = [&] (const size_t pos) -> codepoint_flags {
@@ -450,7 +452,7 @@ static std::vector<size_t> unicode_regex_split_custom_llama3(const std::string &
             }
 
             // regex: \s+(?!\S)
-            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != 0) {
+            if (num_whitespaces > 1 && _get_cpt(pos+num_whitespaces) != OUT_OF_RANGE) {
                 pos += num_whitespaces - 1;
                 _add_token(pos);
                 continue;
@@ -679,10 +681,14 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
                 continue;
             }
 
-            const int cpt_flag = unicode_cpt_flags(cpts[i]).category_flag();
+            const auto flags = unicode_cpt_flags(cpts[i]);
 
-            if (k_ucat_cpt.find(cpt_flag) != k_ucat_cpt.end()) {
-                text_collapsed[i] = k_ucat_cpt.at(cpt_flag);
+            if (flags.is_whitespace) {
+                //NOTE: C++ std::regex \s does not mach 0x85, Rust and Python regex does.
+                //text_collapsed[i] = (char) 0x85;  // <Next Line> as whitespace fallback
+                text_collapsed[i] = (char) 0x0B;    // <vertical tab> as whitespace fallback
+            } else if (k_ucat_cpt.find(flags.category_flag()) != k_ucat_cpt.end()) {
+                text_collapsed[i] = k_ucat_cpt.at(flags.category_flag());
             } else {
                 text_collapsed[i] = (char) 0xD0; // fallback
             }
@@ -766,9 +772,16 @@ std::vector<std::string> unicode_regex_split(const std::string & text, const std
                 bpe_offsets = unicode_regex_split_stl(text_collapsed, regex_expr_collapsed, bpe_offsets);
             } else {
                 // no unicode category used, we can use std::wregex directly
-                const std::wstring wtext       = unicode_wstring_from_utf8(text);
                 const std::wstring wregex_expr = unicode_wstring_from_utf8(regex_expr);
 
+                // std::wregex \s does not mach non-ASCII whitespaces, using 0x0B as fallback
+                std::wstring wtext(cpts.begin(), cpts.end());
+                for (size_t i = 0; i < wtext.size(); ++i) {
+                    if (wtext[i] > 0x7F && unicode_cpt_flags(wtext[i]).is_whitespace) {
+                        wtext[i] = 0x0B;
+                    }
+                }
+
                 //printf("text: %s\n", text.c_str());
                 //printf("regex_expr: %s\n", regex_expr.c_str());
                 bpe_offsets = unicode_regex_split_stl(wtext, wregex_expr, bpe_offsets);

From 623494a478134432fd2d7ee40135770a3340674f Mon Sep 17 00:00:00 2001
From: "Meng, Hengyu" <hengyu.meng@intel.com>
Date: Wed, 19 Jun 2024 09:11:51 +0800
Subject: [PATCH 104/131] [SYCL] refactor (#6408)

* seperate lower precision GEMM from the main files

* fix workgroup size hardcode
---
 ggml-sycl.cpp            | 7004 +-------------------------------------
 ggml-sycl/backend.hpp    |    5 +
 ggml-sycl/convert.cpp    |  544 +++
 ggml-sycl/convert.hpp    |   27 +
 ggml-sycl/dequantize.hpp |  690 ++++
 ggml-sycl/dmmv.cpp       | 1022 ++++++
 ggml-sycl/dmmv.hpp       |   27 +
 ggml-sycl/mmq.cpp        | 3031 +++++++++++++++++
 ggml-sycl/mmq.hpp        |   33 +
 ggml-sycl/mmvq.cpp       | 1024 ++++++
 ggml-sycl/mmvq.hpp       |   27 +
 ggml-sycl/presets.hpp    |    2 -
 ggml-sycl/vecdotq.hpp    | 1161 +++++++
 13 files changed, 7600 insertions(+), 6997 deletions(-)
 create mode 100644 ggml-sycl/convert.cpp
 create mode 100644 ggml-sycl/convert.hpp
 create mode 100644 ggml-sycl/dequantize.hpp
 create mode 100644 ggml-sycl/dmmv.cpp
 create mode 100644 ggml-sycl/dmmv.hpp
 create mode 100644 ggml-sycl/mmq.cpp
 create mode 100644 ggml-sycl/mmq.hpp
 create mode 100644 ggml-sycl/mmvq.cpp
 create mode 100644 ggml-sycl/mmvq.hpp
 create mode 100644 ggml-sycl/vecdotq.hpp

diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 6bd42b960..485f06ad3 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -38,67 +38,17 @@
 
 #include "ggml-sycl/backend.hpp"
 
-/*
-Following definition copied from DPCT head files, which are used by ggml-sycl.cpp
-*/
-// COPY from DPCT head files
-#include <sycl/sycl.hpp>
-#include <oneapi/mkl.hpp>
-#include <map>
-
-#if defined(__linux__)
-#include <sys/mman.h>
-#elif defined(_WIN64)
-#ifndef NOMINMAX
-#define NOMINMAX
-#endif
-#include <windows.h>
-#else
-#error "Only support Windows and Linux."
-#endif
-
-#if defined(__linux__)
-#include <unistd.h>
-#include <sys/syscall.h>
-#endif
-#if defined(_WIN64)
-#ifndef NOMINMAX
-#define NOMINMAX
-#endif
-#include <windows.h>
-#endif
-
-#define DPCT_COMPATIBILITY_TEMP (900)
-
-#if defined(_MSC_VER)
-#define __dpct_align__(n) __declspec(align(n))
-#define __dpct_inline__ __forceinline
-#else
-#define __dpct_align__(n) __attribute__((aligned(n)))
-#define __dpct_inline__ __inline__ __attribute__((always_inline))
-#endif
-
-#if defined(_MSC_VER)
-#define __dpct_noinline__ __declspec(noinline)
-#else
-#define __dpct_noinline__ __attribute__((noinline))
-#endif
-
 bool   ggml_sycl_loaded(void);
 void   ggml_sycl_free_data(struct ggml_tensor * tensor);
-void   ggml_sycl_assign_buffers(struct ggml_tensor * tensor);
-void   ggml_sycl_assign_buffers_no_scratch(struct ggml_tensor * tensor);
-void   ggml_sycl_assign_buffers_force_inplace(struct ggml_tensor * tensor);
-void   ggml_sycl_assign_buffers_no_alloc(struct ggml_tensor * tensor);
 void   ggml_sycl_copy_to_device(struct ggml_tensor * tensor);
 void   ggml_sycl_set_main_device(int main_device);
 void   ggml_sycl_set_mul_mat_q(bool mul_mat_q);
-void   ggml_sycl_set_scratch_size(size_t scratch_size);
-void   ggml_sycl_free_scratch(void);
 void   ggml_sycl_get_device_description(int device, char * description, size_t description_size);
 bool   ggml_backend_is_sycl(ggml_backend_t backend);
 int    ggml_backend_sycl_get_device(ggml_backend_t backend);
 static bool ggml_backend_buffer_is_sycl_split(ggml_backend_buffer_t buffer);
+static inline int get_sycl_env(const char *env_name, int default_val);
+static inline int get_work_group_size(const sycl::device& device);
 
 void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst,
                     const void *ptr_src, size_t size) {
@@ -108,45 +58,6 @@ void dev2dev_memcpy(sycl::queue &q_dst, sycl::queue &q_src, void *ptr_dst,
     free(host_buf);
 }
 
-static __dpct_inline__ int get_int_from_int8(const int8_t *x8, const int &i32) {
-    const uint16_t * x16 = (const uint16_t *) (x8 + sizeof(int) * i32); // assume at least 2 byte alignment
-
-    int x32 = 0;
-    x32 |= x16[0] <<  0;
-    x32 |= x16[1] << 16;
-
-    return x32;
-}
-
-static __dpct_inline__ int get_int_from_uint8(const uint8_t *x8,
-                                              const int &i32) {
-    const uint16_t * x16 = (const uint16_t *) (x8 + sizeof(int) * i32); // assume at least 2 byte alignment
-
-    int x32 = 0;
-    x32 |= x16[0] <<  0;
-    x32 |= x16[1] << 16;
-
-    return x32;
-}
-
-static __dpct_inline__ int get_int_from_int8_aligned(const int8_t *x8,
-                                                     const int &i32) {
-    return *((const int *) (x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
-}
-
-static __dpct_inline__ int get_int_from_uint8_aligned(const uint8_t *x8,
-                                                      const int &i32) {
-    return *((const int *) (x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
-}
-
-template <typename T>
-using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y,
-                             int k, queue_ptr stream);
-typedef to_t_sycl_t<float> to_fp32_sycl_t;
-typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t;
-
-typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v);
-typedef void (*dot_kernel_k_t)(const void * __restrict__ vx, const int ib, const int iqs, const float * __restrict__ y, float & v);
 typedef void (*cpy_kernel_t)(const char * cx, char * cdst);
 typedef void (*ggml_sycl_func_t)(ggml_backend_sycl_context & ctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
 typedef void (*ggml_sycl_op_mul_mat_t)(
@@ -162,22 +73,6 @@ typedef void (*ggml_sycl_op_flatten_t)(ggml_backend_sycl_context & ctx, const gg
                                        const float *src1_dd, float *dst_dd,
                                        const queue_ptr &main_stream);
 
-typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs);
-typedef void (*allocate_tiles_sycl_t)(int **x_ql, sycl::half2 **x_dm,
-                                      int **x_qh, int **x_sc);
-typedef void (*load_tiles_sycl_t)(const void *__restrict__ vx,
-                                  int *__restrict__ x_ql,
-                                  sycl::half2 *__restrict__ x_dm,
-                                  int *__restrict__ x_qh,
-                                  int *__restrict__ x_sc, const int &i_offset,
-                                  const int &i_max, const int &k,
-                                  const int &blocks_per_row);
-typedef float (*vec_dot_q_mul_mat_sycl_t)(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ms,
-    const int &i, const int &j, const int &k);
-
 static __dpct_inline__ float warp_reduce_sum(float x,
                                              const sycl::nd_item<3> &item_ct1) {
 #pragma unroll
@@ -664,1069 +559,6 @@ static void rms_norm_f32(const float * x, float * dst, const int ncols, const fl
     }
 }
 
-static __dpct_inline__ void dequantize_q4_0(const void *vx, const int ib,
-                                            const int iqs, dfloat2 &v) {
-    const block_q4_0 * x = (const block_q4_0 *) vx;
-
-    const dfloat d = x[ib].d;
-
-    const int vui = x[ib].qs[iqs];
-
-    v.x() = vui & 0xF;
-    v.y() = vui >> 4;
-
-#ifdef GGML_SYCL_F16
-    // v = v - {8.0f, 8.0f};
-    // v = v * {d, d};
-    v.s0() = (v.s0() - 8.0f) * d;
-    v.s1() = (v.s1() - 8.0f) * d;
-
-#else
-    v.x() = (v.x() - 8.0f) * d;
-    v.y() = (v.y() - 8.0f) * d;
-#endif // GGML_SYCL_F16
-}
-
-static __dpct_inline__ void dequantize_q4_1(const void *vx, const int ib,
-                                            const int iqs, dfloat2 &v) {
-    const block_q4_1 * x = (const block_q4_1 *) vx;
-
-    const dfloat d = x[ib].dm[0];
-    const dfloat m = x[ib].dm[1];
-
-    const int vui = x[ib].qs[iqs];
-
-    v.x() = vui & 0xF;
-    v.y() = vui >> 4;
-
-#ifdef GGML_SYCL_F16
-    // v = v * {d, d};
-    // v = v + {m, m};
-    v.s0() = (v.s0() * d) + m;
-    v.s1() = (v.s1() * d) + m;
-
-#else
-    v.x() = (v.x() * d) + m;
-    v.y() = (v.y() * d) + m;
-#endif // GGML_SYCL_F16
-}
-
-static __dpct_inline__ void dequantize_q5_0(const void *vx, const int ib,
-                                            const int iqs, dfloat2 &v) {
-    const block_q5_0 * x = (const block_q5_0 *) vx;
-
-    const dfloat d = x[ib].d;
-
-    uint32_t qh;
-    memcpy(&qh, x[ib].qh, sizeof(qh));
-
-    const int xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const int xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0);
-    v.y() = ((x[ib].qs[iqs] >> 4) | xh_1);
-
-#ifdef GGML_SYCL_F16
-    // v = v - {16.0f, 16.0f};
-    // v = v * {d, d};
-    v.s0() = (v.s0() - 16.0f) * d;
-    v.s1() = (v.s1() - 16.0f) * d;
-
-#else
-    v.x() = (v.x() - 16.0f) * d;
-    v.y() = (v.y() - 16.0f) * d;
-#endif // GGML_SYCL_F16
-}
-
-static __dpct_inline__ void dequantize_q5_1(const void *vx, const int ib,
-                                            const int iqs, dfloat2 &v) {
-    const block_q5_1 * x = (const block_q5_1 *) vx;
-
-    const dfloat d = x[ib].dm[0];
-    const dfloat m = x[ib].dm[1];
-
-    uint32_t qh;
-    memcpy(&qh, x[ib].qh, sizeof(qh));
-
-    const int xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
-    const int xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
-
-    v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0);
-    v.y() = ((x[ib].qs[iqs] >> 4) | xh_1);
-
-#ifdef GGML_SYCL_F16
-    // v = v * {d, d};
-    // v = v + {m, m};
-    v.s0() = (v.s0() * d) + m;
-    v.s1() = (v.s1() * d) + m;
-#else
-    v.x() = (v.x() * d) + m;
-    v.y() = (v.y() * d) + m;
-#endif // GGML_SYCL_F16
-}
-
-static __dpct_inline__ void dequantize_q8_0(const void *vx, const int ib,
-                                            const int iqs, dfloat2 &v) {
-    const block_q8_0 * x = (const block_q8_0 *) vx;
-
-    const dfloat d = x[ib].d;
-
-    v.x() = x[ib].qs[iqs + 0];
-    v.y() = x[ib].qs[iqs + 1];
-
-#ifdef GGML_SYCL_F16
-    // v = v * {d, d};
-    v.s0() *= d;
-    v.s1() *= d;
-#else
-    v.x() *= d;
-    v.y() *= d;
-#endif // GGML_SYCL_F16
-}
-
-template<typename dst_t>
-static void dequantize_block_q4_0(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32,
-                                  const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-
-    // assume 32 threads
-    const int tid = item_ct1.get_local_id(2);
-    const int il  = tid/8;
-    const int ir  = tid%8;
-    const int ib = 8*i + ir;
-    if (ib >= nb32) {
-        return;
-    }
-
-    dst_t * y = yy + 256*i + 32*ir + 4*il;
-
-    const block_q4_0 * x = (const block_q4_0 *)vx + ib;
-    const float d = sycl::vec<sycl::half, 1>(x->d)
-                        .convert<float, sycl::rounding_mode::automatic>()[0];
-    const float dm = -8*d;
-
-    const uint8_t * q = x->qs + 4*il;
-
-    for (int l = 0; l < 4; ++l) {
-        y[l+ 0] = d * (q[l] & 0xF) + dm;
-        y[l+16] = d * (q[l] >>  4) + dm;
-    }
-}
-
-template<typename dst_t>
-static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32,
-                                  const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-
-    // assume 32 threads
-    const int tid = item_ct1.get_local_id(2);
-    const int il  = tid/8;
-    const int ir  = tid%8;
-    const int ib = 8*i + ir;
-    if (ib >= nb32) {
-        return;
-    }
-
-    dst_t * y = yy + 256*i + 32*ir + 4*il;
-
-    const block_q4_1 * x = (const block_q4_1 *)vx + ib;
-    const sycl::float2 d =
-        x->dm.convert<float, sycl::rounding_mode::automatic>();
-
-    const uint8_t * q = x->qs + 4*il;
-
-    for (int l = 0; l < 4; ++l) {
-        y[l + 0] = d.x() * (q[l] & 0xF) + d.y();
-        y[l + 16] = d.x() * (q[l] >> 4) + d.y();
-    }
-}
-
-
-//================================== k-quants
-
-template<typename dst_t>
-static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                  const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-    const block_q2_K * x = (const block_q2_K *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int n   = tid/32;
-    const int l   = tid - 32*n;
-    const int is  = 8*n + l/16;
-
-    const uint8_t q = x[i].qs[32*n + l];
-    dst_t * y = yy + i*QK_K + 128*n;
-
-    float dall = x[i].dm[0];
-    float dmin = x[i].dm[1];
-    y[l+ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4);
-    y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4);
-    y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4);
-    y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4);
-}
-
-template<typename dst_t>
-static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                  const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-    const block_q3_K * x = (const block_q3_K *) vx;
-
-    const int r = item_ct1.get_local_id(2) / 4;
-    const int tid = r/2;
-    const int is0 = r%2;
-    const int l0 = 16 * is0 + 4 * (item_ct1.get_local_id(2) % 4);
-    const int n = tid / 4;
-    const int j = tid - 4*n;
-
-    uint8_t m = 1 << (4*n + j);
-    int is = 8*n + 2*j + is0;
-    int shift = 2*j;
-
-    int8_t us = is <  4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) :
-                is <  8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) :
-                is < 12 ? (x[i].scales[is-8] >>  4) | (((x[i].scales[is+0] >> 4) & 3) << 4) :
-                          (x[i].scales[is-8] >>  4) | (((x[i].scales[is-4] >> 6) & 3) << 4);
-    float d_all = x[i].d;
-    float dl = d_all * (us - 32);
-
-    dst_t * y = yy + i*QK_K + 128*n + 32*j;
-    const uint8_t * q = x[i].qs + 32*n;
-    const uint8_t * hm = x[i].hmask;
-
-    for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
-}
-
-static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
-    if (j < 4) {
-        d = q[j] & 63; m = q[j + 4] & 63;
-    } else {
-        d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4);
-        m = (q[j+4] >>  4) | ((q[j-0] >> 6) << 4);
-    }
-}
-
-template<typename dst_t>
-static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                  const sycl::nd_item<3> &item_ct1) {
-    const block_q4_K * x = (const block_q4_K *) vx;
-
-    const int i = item_ct1.get_group(2);
-
-    // assume 32 threads
-    const int tid = item_ct1.get_local_id(2);
-    const int il  = tid/8;
-    const int ir  = tid%8;
-    const int is  = 2*il;
-    const int n   = 4;
-
-    dst_t * y = yy + i*QK_K + 64*il + n*ir;
-
-    const float dall = x[i].dm[0];
-    const float dmin = x[i].dm[1];
-
-    const uint8_t * q = x[i].qs + 32*il + n*ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, sc, m);
-    const float d1 = dall * sc; const float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, sc, m);
-    const float d2 = dall * sc; const float m2 = dmin * m;
-    for (int l = 0; l < n; ++l) {
-        y[l + 0] = d1 * (q[l] & 0xF) - m1;
-        y[l +32] = d2 * (q[l] >>  4) - m2;
-    }
-}
-
-template<typename dst_t>
-static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                  const sycl::nd_item<3> &item_ct1) {
-    const block_q5_K * x = (const block_q5_K *) vx;
-
-    const int i = item_ct1.get_group(2);
-
-    // assume 64 threads - this is very slightly better than the one below
-    const int tid = item_ct1.get_local_id(2);
-    const int il  = tid/16;   // il is in 0...3
-    const int ir  = tid%16;   // ir is in 0...15
-    const int is  = 2*il;     // is is in 0...6
-
-    dst_t * y = yy + i*QK_K + 64*il + 2*ir;
-
-    const float dall = x[i].dm[0];
-    const float dmin = x[i].dm[1];
-
-    const uint8_t * ql = x[i].qs + 32*il + 2*ir;
-    const uint8_t * qh = x[i].qh + 2*ir;
-
-    uint8_t sc, m;
-    get_scale_min_k4(is + 0, x[i].scales, sc, m);
-    const float d1 = dall * sc; const float m1 = dmin * m;
-    get_scale_min_k4(is + 1, x[i].scales, sc, m);
-    const float d2 = dall * sc; const float m2 = dmin * m;
-
-    uint8_t   hm  = 1 << (2*il);
-    y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1;
-    y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1;
-    hm <<= 1;
-    y[32] = d2 * ((ql[ 0] >>  4) + (qh[ 0] & hm ? 16 : 0)) - m2;
-    y[33] = d2 * ((ql[ 1] >>  4) + (qh[ 1] & hm ? 16 : 0)) - m2;
-}
-
-template<typename dst_t>
-static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                  const sycl::nd_item<3> &item_ct1) {
-    const block_q6_K * x = (const block_q6_K *) vx;
-
-    const int i = item_ct1.get_group(2);
-
-    // assume 64 threads - this is very slightly better than the one below
-    const int tid = item_ct1.get_local_id(2);
-    const int ip  = tid/32;   // ip is 0 or 1
-    const int il  = tid - 32*ip; // 0...32
-    const int is  = 8*ip + il/16;
-
-    dst_t * y = yy + i*QK_K + 128*ip + il;
-
-    const float d = x[i].d;
-
-    const uint8_t * ql = x[i].ql + 64*ip + il;
-    const uint8_t   qh = x[i].qh[32*ip + il];
-    const int8_t  * sc = x[i].scales + is;
-
-    y[ 0] = d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
-    y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
-    y[64] = d * sc[4] * ((int8_t)((ql[ 0]  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
-    y[96] = d * sc[6] * ((int8_t)((ql[32]  >> 4) | (((qh >> 6) & 3) << 4)) - 32);
-}
-
-template<typename dst_t>
-static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                     const sycl::nd_item<3> &item_ct1,
-                                     const uint64_t *iq2xxs_grid_ptr,
-                                     const uint8_t *ksigns_iq2xs_ptr,
-                                     const uint8_t *kmask_iq2xs_ptr) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq2_xxs * x = (const block_iq2_xxs  *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint16_t * q2 = x[i].qs + 4*ib;
-    const uint8_t  * aux8 = (const uint8_t *)q2;
-    const uint8_t  * grid = (const uint8_t *)(iq2xxs_grid_ptr + aux8[il]);
-    const uint32_t aux32 = q2[2] | (q2[3] << 16);
-    const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f;
-    const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127];
-    for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f);
-}
-
-template<typename dst_t>
-static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                    const sycl::nd_item<3> &item_ct1,
-                                    const uint64_t *iq2xs_grid,
-                                    const uint8_t *ksigns_iq2xs,
-                                    const uint8_t *kmask_iq2xs) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq2_xs * x = (const block_iq2_xs *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint16_t * q2 = x[i].qs + 4*ib;
-    const uint8_t  * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511));
-    const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
-    const uint8_t signs = ksigns_iq2xs[q2[il] >> 9];
-    for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-}
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                       const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq2_s * x = (const block_iq2_s *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300)));
-    const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
-    const uint8_t signs = x[i].qs[QK_K/8+4*ib+il];
-#pragma unroll
-    for (int j = 0; j < 8; ++j) {
-        y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
-    }
-}
-
-template<typename dst_t>
-static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy,
-                                     const sycl::nd_item<3> &item_ct1,
-                                     const uint32_t *iq3xxs_grid,
-                                     const uint8_t *ksigns_iq2xs,
-                                     const uint8_t *kmask_iq2xs) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq3_xxs * x = (const block_iq3_xxs  *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint8_t  * q3 = x[i].qs + 8*ib;
-    const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib;
-    const uint8_t  * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]);
-    const uint8_t  * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]);
-    const uint32_t aux32 = gas[0] | (gas[1] << 16);
-    const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.5f;
-    const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127];
-    for (int j = 0; j < 4; ++j) {
-        y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
-        y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
-    }
-}
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                       const sycl::nd_item<3> &item_ct1,
-                       const uint8_t *kmask_iq2xs, const uint32_t *iq3s_grid) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq3_s * x = (const block_iq3_s *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint8_t * qs = x[i].qs + 8*ib;
-    const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256)));
-    const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256)));
-    const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf));
-    const uint8_t signs = x[i].signs[4*ib + il];
-#pragma unroll
-    for (int j = 0; j < 4; ++j) {
-        y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
-        y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
-    }
-}
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                       const sycl::nd_item<3> &item_ct1,
-                       const uint32_t *iq1s_grid_gpu) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq1_s * x = (const block_iq1_s  *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA;
-    const float d = (float)x[i].d * (2*((x[i].qh[ib] >> 12) & 7) + 1);
-    uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
-    grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)];
-    grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
-    grid32[0] &= 0x0f0f0f0f;
-#pragma unroll
-    for (int j = 0; j < 8; ++j) {
-        y[j] = d * (q[j] + delta);
-    }
-}
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                       const sycl::nd_item<3> &item_ct1,
-                       const uint32_t *iq1s_grid_gpu) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq1_m * x = (const block_iq1_m  *) vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
-    const uint16_t * sc = (const uint16_t *)x[i].scales;
-    iq1m_scale_t scale;
-    scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-    const int ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4);
-    const float d = (float)scale.f16 * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1);
-    const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA;
-    uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
-    grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)];
-    grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
-    grid32[0] &= 0x0f0f0f0f;
-#pragma unroll
-    for (int j = 0; j < 8; ++j) {
-        y[j] = d * (q[j] + delta);
-    }
-}
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq4_nl(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                        const sycl::nd_item<3> &item_ct1) {
-
-    const int i = item_ct1.get_group(2);
-    const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL);
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 4*il;
-    const uint8_t  * q4 = x[ib].qs + 4*il;
-    const float d = (float)x[ib].d;
-#pragma unroll
-    for (int j = 0; j < 4; ++j) {
-        y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
-        y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
-    }
-
-}
-
-
-template <typename dst_t>
-__dpct_inline__ static void
-dequantize_block_iq4_xs(const void *__restrict__ vx, dst_t *__restrict__ yy,
-                        const sycl::nd_item<3> &item_ct1) {
-    const int i = item_ct1.get_group(2);
-    const block_iq4_xs * x = (const block_iq4_xs *)vx;
-
-    const int tid = item_ct1.get_local_id(2);
-    const int il = tid/8; // 0...3
-    const int ib = tid%8; // 0...7
-    dst_t * y = yy + i*QK_K + 32*ib + 4*il;
-    const uint8_t  * q4 = x[i].qs + 16*ib + 4*il;
-    const float d = (float)x[i].d * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32);
-#pragma unroll
-    for (int j = 0; j < 4; ++j) {
-        y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
-        y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
-    }
-}
-
-
-
-/*
-DPCT1110:4: The total declared local variable size in device function
-dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register
-pressure. Consult with your hardware vendor to find the total register size
-available and adjust the code, or use smaller sub-group size to avoid high
-register pressure.
-*/
-static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx,
-                                        const float *__restrict__ yy,
-                                        float *__restrict__ dst,
-                                        const int ncols, int nrows,
-                                        const sycl::nd_item<3> &item_ct1) {
-
-    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
-
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-    if (row > nrows) return;
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row;
-
-    const block_q2_K * x = (const block_q2_K *)vx + ib0;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    const int tid =
-        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15
-    const int ix =
-        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15 or 0...14 in steps of 2
-    const int q_offset = 32*im + l0;
-    const int s_offset = 8*im;
-    const int y_offset = 128*im + l0;
-
-    uint32_t aux[4];
-    const uint8_t * d = (const uint8_t *)aux;
-    const uint8_t * m = (const uint8_t *)(aux + 2);
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        const float   * y = yy + i * QK_K + y_offset;
-        const uint8_t * q = x[i].qs + q_offset;
-
-        const float dall = x[i].dm[0];
-        const float dmin = x[i].dm[1];
-
-        const uint32_t * a = (const uint32_t *)(x[i].scales + s_offset);
-        aux[0] = a[0] & 0x0f0f0f0f;
-        aux[1] = a[1] & 0x0f0f0f0f;
-        aux[2] = (a[0] >> 4) & 0x0f0f0f0f;
-        aux[3] = (a[1] >> 4) & 0x0f0f0f0f;
-
-        float sum1 = 0, sum2 = 0;
-        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
-            sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3)
-                  + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3)
-                  + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3)
-                  + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3)
-                  + y[l+16] * d[1] * ((q[l+16] >> 0) & 3)
-                  + y[l+48] * d[3] * ((q[l+16] >> 2) & 3)
-                  + y[l+80] * d[5] * ((q[l+16] >> 4) & 3)
-                  +y[l+112] * d[7] * ((q[l+16] >> 6) & 3);
-            sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6]
-                  + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7];
-
-        }
-        tmp += dall * sum1 - dmin * sum2;
-
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-/*
-DPCT1110:5: The total declared local variable size in device function
-dequantize_mul_mat_vec_q3_k exceeds 128 bytes and may cause high register
-pressure. Consult with your hardware vendor to find the total register size
-available and adjust the code, or use smaller sub-group size to avoid high
-register pressure.
-*/
-static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx,
-                                        const float *__restrict__ yy,
-                                        float *__restrict__ dst,
-                                        const int ncols, int nrows,
-                                        const sycl::nd_item<3> &item_ct1) {
-
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-    if (row > nrows) return;
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row;
-
-    const block_q3_K * x = (const block_q3_K *)vx + ib0;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    const uint16_t kmask1 = 0x0303;
-    const uint16_t kmask2 = 0x0f0f;
-
-    const int tid =
-        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
-    const int ix =
-        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
-
-    const int n  = K_QUANTS_PER_ITERATION;               // iterations in the inner loop
-    const int step = 16/K_QUANTS_PER_ITERATION;
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0....15 or 0...7
-
-    const uint8_t m = 1 << (4*im);
-
-    const int l0 = n*in;                                 // 0...15 or 0...14 in steps of 2
-    const int q_offset =  32*im + l0;
-    const int y_offset = 128*im + l0;
-
-    uint16_t utmp[4];
-    const int8_t * s = (const int8_t *)utmp;
-
-    const uint16_t s_shift = 4*im;
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        const float   * y  = yy + i * QK_K + y_offset;
-        const uint8_t * q = x[i].qs + q_offset;
-        const uint8_t * h = x[i].hmask + l0;
-
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4);
-        utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4);
-        utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4);
-
-        const float d = x[i].d;
-
-        float sum = 0;
-        for (int l = 0; l < n; ++l) {
-            sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4))
-                 + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4))
-                 + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4))
-                 + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4));
-            sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4))
-                 + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4))
-                 + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4))
-                + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4));
-        }
-        tmp += d * sum;
-
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-/*
-DPCT1110:6: The total declared local variable size in device function
-dequantize_mul_mat_vec_q4_k exceeds 128 bytes and may cause high register
-pressure. Consult with your hardware vendor to find the total register size
-available and adjust the code, or use smaller sub-group size to avoid high
-register pressure.
-*/
-static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
-                                        const float *__restrict__ yy,
-                                        float *__restrict__ dst,
-                                        const int ncols, int nrows,
-                                        const sycl::nd_item<3> &item_ct1) {
-
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-    if (row > nrows) return;
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row;
-
-    const block_q4_K * x = (const block_q4_K *)vx + ib0;
-
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int tid =
-        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
-    const int ix =
-        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
-
-    const int step = 8/K_QUANTS_PER_ITERATION;           // 8 or 4
-
-    const int il  = tid/step;                            // 0...3
-    const int ir  = tid - step*il;                       // 0...7 or 0...3
-    const int n   = 2 * K_QUANTS_PER_ITERATION;          // 2 or 4
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-#if K_QUANTS_PER_ITERATION == 2
-    uint32_t q32[4];
-    const uint8_t * q4 = (const uint8_t *)q32;
-#else
-    uint16_t q16[4];
-    const uint8_t * q4 = (const uint8_t *)q16;
-#endif
-
-    float tmp = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        const float   * y1 = yy + i*QK_K + y_offset;
-        const float   * y2 = y1 + 128;
-
-        const float dall = x[i].dm[0];
-        const float dmin = x[i].dm[1];
-
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-#if K_QUANTS_PER_ITERATION == 2
-        const uint32_t * q1 = (const uint32_t *)(x[i].qs + q_offset);
-        const uint32_t * q2 = q1 + 16;
-
-        q32[0] = q1[0] & 0x0f0f0f0f;
-        q32[1] = q1[0] & 0xf0f0f0f0;
-        q32[2] = q2[0] & 0x0f0f0f0f;
-        q32[3] = q2[0] & 0xf0f0f0f0;
-
-        sycl::float4 s = {0.f, 0.f, 0.f, 0.f};
-        float smin = 0;
-        for (int l = 0; l < 4; ++l) {
-            s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4];
-            s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12];
-            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
-        }
-        tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f +
-                       s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) -
-               dmin * smin;
-#else
-        const uint16_t * q1 = (const uint16_t *)(x[i].qs + q_offset);
-        const uint16_t * q2 = q1 + 32;
-
-        q16[0] = q1[0] & 0x0f0f;
-        q16[1] = q1[0] & 0xf0f0;
-        q16[2] = q2[0] & 0x0f0f;
-        q16[3] = q2[0] & 0xf0f0;
-
-        float4 s = {0.f, 0.f, 0.f, 0.f};
-        float smin = 0;
-        for (int l = 0; l < 2; ++l) {
-            s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2];
-            s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6];
-            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
-        }
-        tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin;
-#endif
-
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (tid == 0) {
-        dst[row] = tmp;
-    }
-}
-
-/*
-DPCT1110:7: The total declared local variable size in device function
-dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register
-pressure. Consult with your hardware vendor to find the total register size
-available and adjust the code, or use smaller sub-group size to avoid high
-register pressure.
-*/
-static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx,
-                                        const float *__restrict__ yy,
-                                        float *__restrict__ dst,
-                                        const int ncols,
-                                        const sycl::nd_item<3> &item_ct1) {
-
-    const int row = item_ct1.get_group(2);
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row;
-
-    const block_q5_K * x = (const block_q5_K *)vx + ib0;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    const uint16_t kmask1 = 0x3f3f;
-    const uint16_t kmask2 = 0x0f0f;
-    const uint16_t kmask3 = 0xc0c0;
-
-    const int tid = item_ct1.get_local_id(2) / 2; // 0...15
-    const int ix = item_ct1.get_local_id(2) % 2;
-
-    const int il  = tid/4;     // 0...3
-    const int ir  = tid - 4*il;// 0...3
-    const int n   = 2;
-
-    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
-    const int in = il%2;
-
-    const int l0 = n*(2*ir + in);
-    const int q_offset = 32*im + l0;
-    const int y_offset = 64*im + l0;
-
-    const uint8_t hm1  = 1 << (2*im);
-    const uint8_t hm2  = hm1 << 4;
-
-    uint16_t aux[4];
-    const uint8_t * sc = (const uint8_t *)aux;
-
-    uint16_t q16[8];
-    const uint8_t * q4 = (const uint8_t *)q16;
-
-    for (int i = ix; i < num_blocks_per_row; i += 2) {
-
-        const uint8_t * ql1 = x[i].qs + q_offset;
-        const uint8_t * qh  = x[i].qh + l0;
-        const float   * y1  = yy + i*QK_K + y_offset;
-        const float   * y2  = y1 + 128;
-
-        const float dall = x[i].dm[0];
-        const float dmin = x[i].dm[1];
-
-        const uint16_t * a = (const uint16_t *)x[i].scales;
-        aux[0] = a[im+0] & kmask1;
-        aux[1] = a[im+2] & kmask1;
-        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
-        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
-
-        sycl::float4 sum = {0.f, 0.f, 0.f, 0.f};
-        float smin = 0;
-        const uint16_t * q1 = (const uint16_t *)ql1;
-        const uint16_t * q2 = q1 + 32;
-        q16[0] = q1[0] & 0x0f0f;
-        q16[1] = q1[8] & 0x0f0f;
-        q16[2] = (q1[0] >> 4) & 0x0f0f;
-        q16[3] = (q1[8] >> 4) & 0x0f0f;
-        q16[4] = q2[0] & 0x0f0f;
-        q16[5] = q2[8] & 0x0f0f;
-        q16[6] = (q2[0] >> 4) & 0x0f0f;
-        q16[7] = (q2[8] >> 4) & 0x0f0f;
-        for (int l = 0; l < n; ++l) {
-            sum.x() +=
-                y1[l + 0] * (q4[l + 0] + (qh[l + 0] & (hm1 << 0) ? 16 : 0)) +
-                y1[l + 16] * (q4[l + 2] + (qh[l + 16] & (hm1 << 0) ? 16 : 0));
-            sum.y() +=
-                y1[l + 32] * (q4[l + 4] + (qh[l + 0] & (hm1 << 1) ? 16 : 0)) +
-                y1[l + 48] * (q4[l + 6] + (qh[l + 16] & (hm1 << 1) ? 16 : 0));
-            sum.z() +=
-                y2[l + 0] * (q4[l + 8] + (qh[l + 0] & (hm2 << 0) ? 16 : 0)) +
-                y2[l + 16] * (q4[l + 10] + (qh[l + 16] & (hm2 << 0) ? 16 : 0));
-            sum.w() +=
-                y2[l + 32] * (q4[l + 12] + (qh[l + 0] & (hm2 << 1) ? 16 : 0)) +
-                y2[l + 48] * (q4[l + 14] + (qh[l + 16] & (hm2 << 1) ? 16 : 0));
-            smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3]
-                  + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7];
-        }
-        tmp += dall * (sum.x() * sc[0] + sum.y() * sc[1] + sum.z() * sc[4] +
-                       sum.w() * sc[5]) -
-               dmin * smin;
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows,
-                                        const sycl::nd_item<3> &item_ct1) {
-
-    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
-
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-    if (row > nrows) return;
-
-    const int num_blocks_per_row = ncols / QK_K;
-    const int ib0 = row*num_blocks_per_row;
-
-    const block_q6_K * x = (const block_q6_K *)vx + ib0;
-
-    const int tid =
-        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
-    const int ix =
-        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1
-
-    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
-
-    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
-    const int in = tid - step*im;                        // 0...15 or 0...7
-
-#if K_QUANTS_PER_ITERATION == 1
-    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
-    const int is = 0;
-#else
-    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
-    const int is = in / 4;
-#endif
-    const int ql_offset = 64*im + l0;
-    const int qh_offset = 32*im + l0;
-    const int s_offset  =  8*im + is;
-    const int y_offset = 128*im + l0;
-
-    float tmp = 0; // partial sum for thread in warp
-
-    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
-
-        const float   * y  = yy + i * QK_K + y_offset;
-        const uint8_t * ql = x[i].ql + ql_offset;
-        const uint8_t * qh = x[i].qh + qh_offset;
-        const int8_t  * s  = x[i].scales + s_offset;
-
-        const float d = x[i].d;
-
-#if K_QUANTS_PER_ITERATION == 1
-        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
-                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
-                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
-                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
-                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
-                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
-                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
-                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
-        tmp += sum;
-#else
-        float sum = 0;
-        for (int l = 0; l < 4; ++l) {
-            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
-                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
-                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
-                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
-        }
-        tmp += sum;
-#endif
-
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (tid == 0) {
-        dst[row] = tmp;
-    }
-}
-
-static void convert_f16(const void * vx, const int ib, const int iqs, dfloat2 & v){
-    const sycl::half *x = (const sycl::half *)vx;
-
-    // automatic half -> float type cast if dfloat == float
-    v.x() = x[ib + iqs + 0];
-    v.y() = x[ib + iqs + 1];
-}
-
-static void convert_f32(const void * vx, const int ib, const int iqs, dfloat2 & v){
-    const float * x = (const float *) vx;
-
-    // automatic half -> float type cast if dfloat == float
-    v.x() = x[ib + iqs + 0];
-    v.y() = x[ib + iqs + 1];
-}
-
 static void quantize_q8_1(const float * __restrict__ x, void * __restrict__ vy, const int kx, const int kx_padded,
                           const sycl::nd_item<3> &item_ct1) {
     const int ix = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
@@ -1848,3287 +680,6 @@ static void k_get_rows_float(
     dst_row[i00] = src0_row[i00];
 }
 
-template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
-static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k,
-                             const sycl::nd_item<3> &item_ct1) {
-    const int i = 2 * (item_ct1.get_local_range(2) * item_ct1.get_group(2) +
-                       item_ct1.get_local_id(2));
-
-    if (i >= k) {
-        return;
-    }
-
-    const int ib = i/qk; // block index
-    const int iqs = (i%qk)/qr; // quant index
-    const int iybs = i - i%qk; // y block start index
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-    // dequantize
-    dfloat2 v;
-    dequantize_kernel(vx, ib, iqs, v);
-
-    y[iybs + iqs + 0] = v.x();
-    y[iybs + iqs + y_offset] = v.y();
-}
-
-template <typename src_t, typename dst_t>
-static void convert_unary(const void * __restrict__ vx, dst_t * __restrict__ y, const int k,
-                          const sycl::nd_item<3> &item_ct1) {
-    const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
-                  item_ct1.get_local_id(2);
-
-    if (i >= k) {
-        return;
-    }
-
-    const src_t * x = (src_t *) vx;
-
-    y[i] = x[i];
-}
-
-// VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
-// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
-
-#define VDR_Q4_0_Q8_1_MMVQ 2
-#define VDR_Q4_0_Q8_1_MMQ  4
-
-template <int vdr>
-static __dpct_inline__ float vec_dot_q4_0_q8_1_impl(const int *v, const int *u,
-                                                    const float &d4,
-                                                    const sycl::half2 &ds8) {
-    int sumi = 0;
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
-        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
-
-        // SIMD dot product of quantized values
-        sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
-        sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
-    }
-
-    const sycl::float2 ds8f =
-        ds8.convert<float, sycl::rounding_mode::automatic>();
-
-    // second part effectively subtracts 8 from each quant value
-    return d4 * (sumi * ds8f.x() - (8 * vdr / QI4_0) * ds8f.y());
-}
-
-#define VDR_Q4_1_Q8_1_MMVQ 2
-#define VDR_Q4_1_Q8_1_MMQ  4
-
-template <int vdr>
-static __dpct_inline__ float vec_dot_q4_1_q8_1_impl(const int *v, const int *u,
-                                                    const sycl::half2 &dm4,
-                                                    const sycl::half2 &ds8) {
-
-    int sumi = 0;
-
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
-        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
-
-        // SIMD dot product of quantized values
-        sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
-        sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
-    }
-
-#ifdef GGML_SYCL_F16
-    const sycl::float2 tmp =
-        (dm4 * ds8).convert<float, sycl::rounding_mode::automatic>();
-    const float d4d8 = tmp.x();
-    const float m4s8 = tmp.y();
-#else
-    const sycl::float2 dm4f =
-        dm4.convert<float, sycl::rounding_mode::automatic>();
-    const sycl::float2 ds8f =
-        ds8.convert<float, sycl::rounding_mode::automatic>();
-    const float d4d8 = dm4f.x() * ds8f.x();
-    const float m4s8 = dm4f.y() * ds8f.y();
-#endif // GGML_SYCL_F16
-
-    // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it
-    return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1));
-}
-
-#define VDR_Q5_0_Q8_1_MMVQ 2
-#define VDR_Q5_0_Q8_1_MMQ  4
-
-template <int vdr>
-static __dpct_inline__ float
-vec_dot_q5_0_q8_1_impl(const int *vl, const int *vh, const int *u,
-                       const float &d5, const sycl::half2 &ds8) {
-    int sumi = 0;
-
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
-        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
-        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
-        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
-        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
-        sumi = dpct::dp4a(vi0, u[2 * i + 0],
-                          sumi); // SIMD dot product of quantized values
-
-        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
-        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
-        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
-        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
-        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
-        sumi = dpct::dp4a(vi1, u[2 * i + 1],
-                          sumi); // SIMD dot product of quantized values
-    }
-
-    const sycl::float2 ds8f =
-        ds8.convert<float, sycl::rounding_mode::automatic>();
-
-    // second part effectively subtracts 16 from each quant value
-    return d5 * (sumi * ds8f.x() - (16 * vdr / QI5_0) * ds8f.y());
-}
-
-#define VDR_Q5_1_Q8_1_MMVQ 2
-#define VDR_Q5_1_Q8_1_MMQ  4
-
-template <int vdr>
-static __dpct_inline__ float
-vec_dot_q5_1_q8_1_impl(const int *vl, const int *vh, const int *u,
-                       const sycl::half2 &dm5, const sycl::half2 &ds8) {
-
-    int sumi = 0;
-
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
-        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
-        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
-        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
-        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
-        sumi = dpct::dp4a(vi0, u[2 * i + 0],
-                          sumi); // SIMD dot product of quantized values
-
-        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
-        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
-        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
-        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
-        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
-        sumi = dpct::dp4a(vi1, u[2 * i + 1],
-                          sumi); // SIMD dot product of quantized values
-    }
-
-#ifdef GGML_SYCL_F16
-     const sycl::float2 tmp =
-        (dm5 * ds8).convert<float, sycl::rounding_mode::automatic>();
-    const float d5d8 = tmp.x();
-    const float m5s8 = tmp.y();
-
-
-#else
-    const sycl::float2 dm5f =
-        dm5.convert<float, sycl::rounding_mode::automatic>();
-    const sycl::float2 ds8f =
-        ds8.convert<float, sycl::rounding_mode::automatic>();
-    const float d5d8 = dm5f.x() * ds8f.x();
-    const float m5s8 = dm5f.y() * ds8f.y();
-#endif // GGML_SYCL_F16
-
-    // scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it
-    return sumi*d5d8 + m5s8 / (QI5_1 / vdr);
-}
-
-#define VDR_Q8_0_Q8_1_MMVQ 2
-#define VDR_Q8_0_Q8_1_MMQ 8
-
-template <int vdr>
-static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u,
-                                                    const float &d8_0,
-                                                    const float &d8_1) {
-
-    int sumi = 0;
-
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        // SIMD dot product of quantized values
-        sumi = dpct::dp4a(v[i], u[i], sumi);
-    }
-
-    return d8_0*d8_1 * sumi;
-}
-
-template <int vdr>
-static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u,
-                                                    const sycl::half2 &dm8,
-                                                    const sycl::half2 &ds8) {
-
-    int sumi = 0;
-
-#pragma unroll
-    for (int i = 0; i < vdr; ++i) {
-        // SIMD dot product of quantized values
-        sumi = dpct::dp4a(v[i], u[i], sumi);
-    }
-
-#ifdef GGML_SYCL_F16
-    const sycl::float2 tmp =
-        (dm8 * ds8).convert<float, sycl::rounding_mode::automatic>();
-    const float d8d8 = tmp.x();
-    const float m8s8 = tmp.y();
-#else
-    const sycl::float2 dm8f =
-        dm8.convert<float, sycl::rounding_mode::automatic>();
-    const sycl::float2 ds8f =
-        ds8.convert<float, sycl::rounding_mode::automatic>();
-    const float d8d8 = dm8f.x() * ds8f.x();
-    const float m8s8 = dm8f.y() * ds8f.y();
-#endif // GGML_SYCL_F16
-
-    // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it
-    return sumi*d8d8 + m8s8 / (QI8_1 / vdr);
-}
-
-#define VDR_Q2_K_Q8_1_MMVQ 1
-#define VDR_Q2_K_Q8_1_MMQ  2
-
-// contiguous v/x values
-static __dpct_inline__ float vec_dot_q2_K_q8_1_impl_mmvq(
-    const int &v, const int *__restrict__ u, const uint8_t *__restrict__ scales,
-    const sycl::half2 &dm2, const float *__restrict__ d8) {
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR2_K; ++i) {
-        const int sc = scales[2*i];
-
-        const int vi = (v >> (2*i)) & 0x03030303;
-
-        sumf_d +=
-            d8[i] * (dpct::dp4a(vi, u[i], 0) * (sc & 0xF)); // SIMD dot product
-
-        // fill int with 4x m
-        int m = sc >> 4;
-        m |= m <<  8;
-        m |= m << 16;
-        sumf_m += d8[i] *
-                  dpct::dp4a(
-                      m, u[i],
-                      0); // multiply constant q2_K part with sum of q8_1 values
-    }
-
-    const sycl::float2 dm2f =
-        dm2.convert<float, sycl::rounding_mode::automatic>();
-
-    return dm2f.x() * sumf_d - dm2f.y() * sumf_m;
-}
-
-// contiguous u/y values
-static __dpct_inline__ float
-vec_dot_q2_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
-                           const uint8_t *__restrict__ scales,
-                           const sycl::half2 &dm2, const float &d8) {
-
-    int sumi_d = 0;
-    int sumi_m = 0;
-
-#pragma unroll
-    for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) {
-        int sumi_d_sc = 0;
-
-        const int sc = scales[i0 / (QI8_1/2)];
-
-        // fill int with 4x m
-        int m = sc >> 4;
-        m |= m <<  8;
-        m |= m << 16;
-
-#pragma unroll
-        for (int i = i0; i < i0 + QI8_1/2; ++i) {
-            sumi_d_sc = dpct::dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product
-            sumi_m = dpct::dp4a(m, u[i],
-                                sumi_m); // multiply sum of q8_1 values with m
-        }
-
-        sumi_d += sumi_d_sc * (sc & 0xF);
-    }
-
-    const sycl::float2 dm2f =
-        dm2.convert<float, sycl::rounding_mode::automatic>();
-
-    return d8 * (dm2f.x() * sumi_d - dm2f.y() * sumi_m);
-}
-
-#define VDR_Q3_K_Q8_1_MMVQ 1
-#define VDR_Q3_K_Q8_1_MMQ  2
-
-// contiguous v/x values
-static __dpct_inline__ float vec_dot_q3_K_q8_1_impl_mmvq(
-    const int &vl, const int &vh, const int *__restrict__ u,
-    const uint8_t *__restrict__ scales, const int &scale_offset,
-    const float &d3, const float *__restrict__ d8) {
-
-    float sumf = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR3_K; ++i) {
-        const int isc = scale_offset + 2*i;
-
-        const int isc_low = isc % (QK_K/32);
-        const int sc_shift_low = 4 * (isc / (QK_K/32));
-        const int sc_low  = (scales[isc_low] >> sc_shift_low) & 0xF;
-
-        const int isc_high = isc % (QK_K/64);
-        const int sc_shift_high = 2 * (isc / (QK_K/64));
-        const int sc_high = ((scales[(QK_K/32) + isc_high] >> sc_shift_high) & 3) << 4;
-
-        const int sc = (sc_low | sc_high) - 32;
-
-        const int vil = (vl >> (2*i)) & 0x03030303;
-
-        const int vih = ((vh >> i) << 2) & 0x04040404;
-
-        const int vi =
-            dpct::vectorized_binary<sycl::char4>(vil, vih, dpct::sub_sat());
-
-        sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
-    }
-
-    return d3 * sumf;
-}
-
-// contiguous u/y values
-static __dpct_inline__ float
-vec_dot_q3_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
-                           const int8_t *__restrict__ scales, const float &d3,
-                           const float &d8) {
-
-    int sumi = 0;
-
-#pragma unroll
-    for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) {
-        int sumi_sc = 0;
-
-        for (int i = i0; i < i0 + QI8_1/2; ++i) {
-            sumi_sc = dpct::dp4a(v[i], u[i], sumi_sc); // SIMD dot product
-        }
-
-        sumi += sumi_sc * scales[i0 / (QI8_1/2)];
-    }
-
-    return d3*d8 * sumi;
-}
-
-#define VDR_Q4_K_Q8_1_MMVQ 2
-#define VDR_Q4_K_Q8_1_MMQ  8
-
-// contiguous v/x values
-static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_vmmq(
-    const int *__restrict__ v, const int *__restrict__ u,
-    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
-    const sycl::half2 &dm4, const float *__restrict__ d8) {
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR4_K; ++i) {
-        const int v0i = (v[0] >> (4*i)) & 0x0F0F0F0F;
-        const int v1i = (v[1] >> (4*i)) & 0x0F0F0F0F;
-
-        const int dot1 =
-            dpct::dp4a(v1i, u[2 * i + 1],
-                       dpct::dp4a(v0i, u[2 * i + 0], 0)); // SIMD dot product
-        const int dot2 =
-            dpct::dp4a(0x01010101, u[2 * i + 1],
-                       dpct::dp4a(0x01010101, u[2 * i + 0], 0)); // sum of u
-
-        sumf_d += d8[i] * (dot1 * sc[i]);
-        sumf_m += d8[i] * (dot2 * m[i]);  // multiply constant part of q4_K with sum of q8_1 values
-    }
-
-    const sycl::float2 dm4f =
-        dm4.convert<float, sycl::rounding_mode::automatic>();
-
-    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
-}
-
-// contiguous u/y values
-static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_mmq(
-    const int *__restrict__ v, const int *__restrict__ u,
-    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
-    const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) {
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR4_K*VDR_Q4_K_Q8_1_MMQ/QI8_1; ++i) {
-        int sumi_d = 0;
-
-#pragma unroll
-        for (int j = 0; j < QI8_1; ++j) {
-            sumi_d = dpct::dp4a((v[j] >> (4 * i)) & 0x0F0F0F0F,
-                                u[i * QI8_1 + j], sumi_d); // SIMD dot product
-        }
-
-        const sycl::float2 ds8f =
-            ds8[i].convert<float, sycl::rounding_mode::automatic>();
-
-        sumf_d += ds8f.x() * (sc[i] * sumi_d);
-        sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val
-    }
-
-    const sycl::float2 dm4f =
-        dm4.convert<float, sycl::rounding_mode::automatic>();
-
-    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
-}
-
-#define VDR_Q5_K_Q8_1_MMVQ 2
-#define VDR_Q5_K_Q8_1_MMQ  8
-
-// contiguous v/x values
-static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_vmmq(
-    const int *__restrict__ vl, const int *__restrict__ vh,
-    const int *__restrict__ u, const uint8_t *__restrict__ sc,
-    const uint8_t *__restrict__ m, const sycl::half2 &dm5,
-    const float *__restrict__ d8) {
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR5_K; ++i) {
-        const int vl0i = (vl[0] >> (4*i)) & 0x0F0F0F0F;
-        const int vl1i = (vl[1] >> (4*i)) & 0x0F0F0F0F;
-
-        const int vh0i = ((vh[0] >> i) << 4) & 0x10101010;
-        const int vh1i = ((vh[1] >> i) << 4) & 0x10101010;
-
-        const int v0i = vl0i | vh0i;
-        const int v1i = vl1i | vh1i;
-
-        const int dot1 =
-            dpct::dp4a(v0i, u[2 * i + 0],
-                       dpct::dp4a(v1i, u[2 * i + 1], 0)); // SIMD dot product
-        const int dot2 =
-            dpct::dp4a(0x01010101, u[2 * i + 0],
-                       dpct::dp4a(0x01010101, u[2 * i + 1], 0)); // sum of u
-
-        sumf_d += d8[i] * (dot1 * sc[i]);
-        sumf_m += d8[i] * (dot2 * m[i]);
-
-    }
-
-    const sycl::float2 dm5f =
-        dm5.convert<float, sycl::rounding_mode::automatic>();
-
-    return dm5f.x() * sumf_d - dm5f.y() * sumf_m;
-}
-
-// contiguous u/y values
-static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_mmq(
-    const int *__restrict__ v, const int *__restrict__ u,
-    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
-    const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) {
-
-    float sumf_d = 0.0f;
-    float sumf_m = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR5_K*VDR_Q5_K_Q8_1_MMQ/QI8_1; ++i) {
-        int sumi_d = 0;
-
-#pragma unroll
-        for (int j = 0; j < QI8_1; ++j) {
-            sumi_d = dpct::dp4a(v[i * QI8_1 + j], u[i * QI8_1 + j],
-                                sumi_d); // SIMD dot product
-        }
-
-        const sycl::float2 ds8f =
-            ds8[i].convert<float, sycl::rounding_mode::automatic>();
-
-        sumf_d += ds8f.x() * (sc[i] * sumi_d);
-        sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val
-    }
-
-    const sycl::float2 dm4f =
-        dm4.convert<float, sycl::rounding_mode::automatic>();
-
-    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
-}
-
-#define VDR_Q6_K_Q8_1_MMVQ 1
-#define VDR_Q6_K_Q8_1_MMQ  8
-
-// contiguous v/x values
-static __dpct_inline__ float
-vec_dot_q6_K_q8_1_impl_mmvq(const int &vl, const int &vh,
-                            const int *__restrict__ u,
-                            const int8_t *__restrict__ scales, const float &d,
-                            const float *__restrict__ d8) {
-
-    float sumf = 0.0f;
-
-#pragma unroll
-    for (int i = 0; i < QR6_K; ++i) {
-        const int sc = scales[4*i];
-
-        const int vil = (vl >> (4*i)) & 0x0F0F0F0F;
-
-        const int vih = ((vh >> (4*i)) << 4) & 0x30303030;
-
-        const int vi = dpct::vectorized_binary<sycl::char4>(
-            (vil | vih), 0x20202020, dpct::sub_sat()); // vi = (vil | vih) - 32
-
-        sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
-    }
-
-    return d*sumf;
-}
-
-// contiguous u/y values
-static __dpct_inline__ float
-vec_dot_q6_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
-                           const int8_t *__restrict__ sc, const float &d6,
-                           const float *__restrict__ d8) {
-
-    float sumf_d = 0.0f;
-
-#pragma unroll
-    for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) {
-        sycl::int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale
-
-#pragma unroll
-        for (int i = i0; i < i0 + 2; ++i) {
-            sumi_d.x() = dpct::dp4a(v[2 * i + 0], u[2 * i + 0],
-                                    sumi_d.x()); // SIMD dot product
-            sumi_d.x() = dpct::dp4a(v[2 * i + 1], u[2 * i + 1],
-                                    sumi_d.x()); // SIMD dot product
-
-            sumi_d.y() = dpct::dp4a(v[2 * i + 4], u[2 * i + 4],
-                                    sumi_d.y()); // SIMD dot product
-            sumi_d.y() = dpct::dp4a(v[2 * i + 5], u[2 * i + 5],
-                                    sumi_d.y()); // SIMD dot product
-        }
-
-        sumf_d += d8[i0 / 4] *
-                  (sc[i0 / 2 + 0] * sumi_d.x() + sc[i0 / 2 + 1] * sumi_d.y());
-    }
-
-    return d6 * sumf_d;
-}
-
-static __dpct_inline__ float
-vec_dot_q4_0_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
-
-    int v[VDR_Q4_0_Q8_1_MMVQ];
-    int u[2*VDR_Q4_0_Q8_1_MMVQ];
-
-#pragma unroll
-    for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) {
-        v[i]     = get_int_from_uint8(bq4_0->qs, iqs + i);
-        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
-        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0);
-    }
-
-    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMVQ>(v, u, bq4_0->d, bq8_1->ds);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q4_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_qs_q4_0, float *tile_x_d_q4_0) {
-    (void)x_qh; (void)x_sc;
-
-    *x_ql = tile_x_qs_q4_0;
-    *x_dm = (sycl::half2 *)tile_x_d_q4_0;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q4_0(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh; (void)x_sc;
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_0;
-    const int kqsx = k % QI4_0;
-
-    const block_q4_0 * bx0 = (const block_q4_0 *) vx;
-
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
-        // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) {
-        int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q4_0_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh; (void)x_sc;
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const float * x_dmf = (const float *) x_dm;
-
-    int u[2*VDR_Q4_0_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE];
-    }
-
-    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0],
-         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-static __dpct_inline__ float
-vec_dot_q4_1_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
-
-    int v[VDR_Q4_1_Q8_1_MMVQ];
-    int u[2*VDR_Q4_1_Q8_1_MMVQ];
-
-#pragma unroll
-    for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) {
-        v[i]    = get_int_from_uint8_aligned(bq4_1->qs, iqs + i);
-        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
-        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1);
-    }
-
-    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMVQ>(v, u, bq4_1->dm, bq8_1->ds);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q4_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_qs_q4_1, sycl::half2 *tile_x_dm_q4_1) {
-    (void)x_qh; (void)x_sc;
-
-    *x_ql = tile_x_qs_q4_1;
-    *x_dm = tile_x_dm_q4_1;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q4_1(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh; (void)x_sc;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_1;
-    const int kqsx = k % QI4_1;
-
-    const block_q4_1 * bx0 = (const block_q4_1 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_1;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) {
-        int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q4_1_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh; (void)x_sc;
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-
-    int u[2*VDR_Q4_1_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE];
-    }
-
-    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1],
-         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-static __dpct_inline__ float
-vec_dot_q5_0_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
-
-    int vl[VDR_Q5_0_Q8_1_MMVQ];
-    int vh[VDR_Q5_0_Q8_1_MMVQ];
-    int  u[2*VDR_Q5_0_Q8_1_MMVQ];
-
-#pragma unroll
-    for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) {
-        vl[i]    = get_int_from_uint8(bq5_0->qs, iqs + i);
-        vh[i]    = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i));
-        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
-        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0);
-    }
-
-    return vec_dot_q5_0_q8_1_impl<VDR_Q5_0_Q8_1_MMVQ>(vl, vh, u, bq5_0->d, bq8_1->ds);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q5_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q5_0, float *tile_x_d_q5_0) {
-    (void)x_qh; (void)x_sc;
-
-    *x_ql = tile_x_ql_q5_0;
-    *x_dm = (sycl::half2 *)tile_x_d_q5_0;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q5_0(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh; (void)x_sc;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_0;
-    const int kqsx = k % QI5_0;
-
-    const block_q5_0 * bx0 = (const block_q5_0 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        const int ql = get_int_from_uint8(bxi->qs, kqsx);
-        const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0));
-
-        int qs0 = (ql >>  0)   & 0x0F0F0F0F;
-        qs0    |= (qh <<  4)   & 0x00000010;  // 0 ->  4
-        qs0    |= (qh << 11)   & 0x00001000;  // 1 -> 12
-        qs0    |= (qh << 18)   & 0x00100000;  // 2 -> 20
-        qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
-        qs0 = dpct::vectorized_binary<sycl::char4>(
-            qs0, 0x10101010, dpct::sub_sat()); // subtract 16
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
-
-        int qs1 = (ql >>  4)   & 0x0F0F0F0F;
-        qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
-        qs1    |= (qh >>  5)   & 0x00001000;  // 17 -> 12
-        qs1    |= (qh <<  2)   & 0x00100000;  // 18 -> 20
-        qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
-        qs1 = dpct::vectorized_binary<sycl::char4>(
-            qs1, 0x10101010, dpct::sub_sat()); // subtract 16
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) {
-        int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q5_0_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh; (void)x_sc;
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0;
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    int u[2*VDR_Q5_0_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
-    }
-
-    return vec_dot_q8_0_q8_1_impl<QR5_0*VDR_Q5_0_Q8_1_MMQ>
-        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-static __dpct_inline__ float
-vec_dot_q5_1_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
-
-    int vl[VDR_Q5_1_Q8_1_MMVQ];
-    int vh[VDR_Q5_1_Q8_1_MMVQ];
-    int  u[2*VDR_Q5_1_Q8_1_MMVQ];
-
-#pragma unroll
-    for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) {
-        vl[i]   = get_int_from_uint8_aligned(bq5_1->qs, iqs + i);
-        vh[i]   = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i));
-        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
-        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1);
-    }
-
-    return vec_dot_q5_1_q8_1_impl<VDR_Q5_1_Q8_1_MMVQ>(vl, vh, u, bq5_1->dm, bq8_1->ds);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q5_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q5_1, sycl::half2 *tile_x_dm_q5_1) {
-    (void)x_qh; (void)x_sc;
-
-    *x_ql = tile_x_ql_q5_1;
-    *x_dm = tile_x_dm_q5_1;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q5_1(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh; (void)x_sc;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset < nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_1;
-    const int kqsx = k % QI5_1;
-
-    const block_q5_1 * bx0 = (const block_q5_1 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
-        const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1));
-
-        int qs0 = (ql >>  0) & 0x0F0F0F0F;
-        qs0    |= (qh <<  4) & 0x00000010; // 0 ->  4
-        qs0    |= (qh << 11) & 0x00001000; // 1 -> 12
-        qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
-        qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
-
-        int qs1 = (ql >>  4) & 0x0F0F0F0F;
-        qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
-        qs1    |= (qh >>  5) & 0x00001000; // 17 -> 12
-        qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
-        qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
-
-        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) {
-        int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q5_1_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh; (void)x_sc;
-
-    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
-    const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1;
-
-    int u[2*VDR_Q5_1_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
-        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
-        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE];
-    }
-
-    return vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
-        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
-}
-
-static __dpct_inline__ float
-vec_dot_q8_0_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
-
-    int v[VDR_Q8_0_Q8_1_MMVQ];
-    int u[VDR_Q8_0_Q8_1_MMVQ];
-
-#pragma unroll
-    for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) {
-        v[i] = get_int_from_int8(bq8_0->qs, iqs + i);
-        u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
-    }
-
-    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d,
-                                                      bq8_1->ds[0]);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q8_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_qs_q8_0, float *tile_x_d_q8_0) {
-    (void)x_qh; (void)x_sc;
-
-    *x_ql = tile_x_qs_q8_0;
-    *x_dm = (sycl::half2 *)tile_x_d_q8_0;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q8_0(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh; (void)x_sc;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI8_0;
-    const int kqsx = k % QI8_0;
-    float * x_dmf = (float *) x_dm;
-
-    const block_q8_0 * bx0 = (const block_q8_0 *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) {
-        int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q8_0_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh; (void)x_sc;
-
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMQ>
-        (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0],
-         y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
-}
-
-static __dpct_inline__ float
-vec_dot_q2_K_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q2_K * bq2_K = (const block_q2_K *) vbq;
-
-    const int bq8_offset = QR2_K * (iqs / QI8_1);
-    const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
-
-    const uint8_t * scales = bq2_K->scales + scale_offset;
-
-    const int v = get_int_from_uint8_aligned(bq2_K->qs, iqs);
-    int    u[QR2_K];
-    float d8[QR2_K];
-
-#pragma unroll
-    for (int i = 0; i < QR2_K; ++ i) {
-        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
-        d8[i] = bq8_1[bq8_offset + i].ds[0];
-    }
-
-    return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales, bq2_K->dm, d8);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q2_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q2_K, sycl::half2 *tile_x_dm_q2_K,
-                    int *tile_x_sc_q2_K) {
-    (void)x_qh;
-
-    *x_ql = tile_x_ql_q2_K;
-    *x_dm = tile_x_dm_q2_K;
-    *x_sc = tile_x_sc_q2_K;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q2_K(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI2_K;
-    const int kqsx = k % QI2_K;
-
-    const block_q2_K * bx0 = (const block_q2_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI2_K;
-    const int kbxd = k % blocks_per_tile_x_row;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) {
-        int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
-        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4);
-
-        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4));
-    }
-}
-
-static __dpct_inline__ float vec_dot_q2_K_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh;
-
-    const int kbx = k / QI2_K;
-    const int ky  = (k % QI2_K) * QR2_K;
-    const float * y_df = (const float *) y_ds;
-
-    int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
-
-    const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
-    const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
-
-#pragma unroll
-    for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) {
-        v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
-    }
-
-    const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
-
-    const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE;
-    return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]);
-}
-
-static __dpct_inline__ float
-vec_dot_q3_K_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q3_K * bq3_K = (const block_q3_K *) vbq;
-
-    const int bq8_offset = QR3_K * (iqs / (QI3_K/2));
-    const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
-
-    const float d = bq3_K->d;
-
-    const int vl = get_int_from_uint8(bq3_K->qs, iqs);
-
-    // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
-    const int vh = ~get_int_from_uint8(bq3_K->hmask, iqs % (QI3_K/2)) >> bq8_offset;
-
-    int    u[QR3_K];
-    float d8[QR3_K];
-
-#pragma unroll
-    for (int i = 0; i < QR3_K; ++i) {
-        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
-        d8[i] = bq8_1[bq8_offset + i].ds[0];
-    }
-
-    return vec_dot_q3_K_q8_1_impl_mmvq(vl, vh, u, bq3_K->scales, scale_offset, d, d8);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q3_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q3_K, sycl::half2 *tile_x_dm_q3_K,
-                    int *tile_x_qh_q3_K, int *tile_x_sc_q3_K) {
-
-    *x_ql = tile_x_ql_q3_K;
-    *x_dm = tile_x_dm_q3_K;
-    *x_qh = tile_x_qh_q3_K;
-    *x_sc = tile_x_sc_q3_K;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q3_K(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI3_K;
-    const int kqsx = k % QI3_K;
-
-    const block_q3_K * bx0 = (const block_q3_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI3_K;
-    const int kbxd = k % blocks_per_tile_x_row;
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) {
-        int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) {
-        int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2);
-
-        // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
-        x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2));
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
-        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4);
-
-        const int ksc = k % (QI3_K/4);
-
-        const int ksc_low = ksc % (QI3_K/8);
-        const int shift_low = 4 * (ksc / (QI3_K/8));
-        const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F;
-
-        const int ksc_high = QI3_K/8;
-        const int shift_high = 2 * ksc;
-        const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030;
-
-        const int sc = dpct::vectorized_binary<sycl::char4>(
-            sc_low | sc_high, 0x20202020, dpct::sub_sat());
-
-        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q3_K_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-
-    const int kbx  = k / QI3_K;
-    const int ky  = (k % QI3_K) * QR3_K;
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
-
-    int v[QR3_K*VDR_Q3_K_Q8_1_MMQ];
-
-#pragma unroll
-    for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
-        const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
-        const int shift = 2 * ((ky % 32) / 8);
-        const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
-
-        const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
-        const int vlh = (vh << 2) & 0x04040404;
-
-        v[l] = dpct::vectorized_binary<sycl::char4>(vll, vlh, dpct::sub_sat());
-    }
-
-    const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE;
-    return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]);
-}
-
-static __dpct_inline__ float
-vec_dot_q4_K_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
-
-    int    v[2];
-    int    u[2*QR4_K];
-    float d8[QR4_K];
-
-    // iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6
-    const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2));
-
-    // iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12
-    // iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44
-    // iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76
-    // iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108
-
-    const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
-    v[0] = q4[0];
-    v[1] = q4[4];
-
-    const uint16_t * scales = (const uint16_t *)bq4_K->scales;
-    uint16_t aux[2];
-    const int j = bq8_offset/2;
-    if (j < 2) {
-        aux[0] = scales[j+0] & 0x3f3f;
-        aux[1] = scales[j+2] & 0x3f3f;
-    } else {
-        aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
-        aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
-    }
-    const uint8_t * sc = (const uint8_t *)aux;
-    const uint8_t * m  = sc + 2;
-
-    for (int i = 0; i < QR4_K; ++i) {
-        const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
-        d8[i] = bq8i->ds[0];
-
-        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
-        u[2*i+0] = q8[0];
-        u[2*i+1] = q8[4];
-    }
-
-    return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q4_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q4_K, sycl::half2 *tile_x_dm_q4_K,
-                    int *tile_x_sc_q4_K) {
-    (void)x_qh;
-
-    *x_ql = tile_x_ql_q4_K;
-    *x_dm = tile_x_dm_q4_K;
-    *x_sc = tile_x_sc_q4_K;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI4_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI4_K; // == k if QK_K == 256
-
-    const block_q4_K * bx0 = (const block_q4_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx;
-
-        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) {
-        int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8);
-
-        const int * scales = (const int *) bxi->scales;
-
-        const int ksc = k % (WARP_SIZE/8);
-
-        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
-        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
-        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q4_K_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh;
-
-    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8);
-
-    const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE;
-    return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8,
-                                      x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]);
-}
-
-static __dpct_inline__ float
-vec_dot_q5_K_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
-
-    int   vl[2];
-    int   vh[2];
-    int    u[2*QR5_K];
-    float d8[QR5_K];
-
-    const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2));
-    const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
-    const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4));
-
-    vl[0] = ql[0];
-    vl[1] = ql[4];
-
-    vh[0] = qh[0] >> bq8_offset;
-    vh[1] = qh[4] >> bq8_offset;
-
-    const uint16_t * scales = (const uint16_t *)bq5_K->scales;
-    uint16_t aux[2];
-    const int j = bq8_offset/2;
-    if (j < 2) {
-        aux[0] = scales[j+0] & 0x3f3f;
-        aux[1] = scales[j+2] & 0x3f3f;
-    } else {
-        aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
-        aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
-    }
-    const uint8_t * sc = (const uint8_t *)aux;
-    const uint8_t * m  = sc + 2;
-
-#pragma unroll
-    for (int i = 0; i < QR5_K; ++i) {
-        const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
-        d8[i] = bq8i->ds[0];
-
-        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
-        u[2*i+0] = q8[0];
-        u[2*i+1] = q8[4];
-    }
-
-    return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q5_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql_q5_K, sycl::half2 *tile_x_dm_q5_K,
-                    int *tile_x_sc_q5_K) {
-    (void)x_qh;
-
-    *x_ql = tile_x_ql_q5_K;
-    *x_dm = tile_x_dm_q5_K;
-    *x_sc = tile_x_sc_q5_K;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI5_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI5_K; // == k if QK_K == 256
-
-    const block_q5_K * bx0 = (const block_q5_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx;
-        const int ky = QR5_K*kqsx;
-
-        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
-        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
-        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
-
-        const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4));
-        const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010;
-        const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010;
-
-        const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0;
-        const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4);
-
-        x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
-        x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) {
-        int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8);
-
-        const int * scales = (const int *) bxi->scales;
-
-        const int ksc = k % (WARP_SIZE/8);
-
-        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
-        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
-        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
-    }
-}
-
-static __dpct_inline__ float vec_dot_q5_K_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh;
-
-    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8);
-
-    const int index_x = i * (QR5_K*WARP_SIZE + 1) +  QR5_K*k;
-    const int index_y = j * WARP_SIZE             + (QR5_K*k) % WARP_SIZE;
-    return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8,
-                                      x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]);
-}
-
-static __dpct_inline__ float
-vec_dot_q6_K_q8_1(const void *__restrict__ vbq,
-                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_q6_K * bq6_K = (const block_q6_K *) vbq;
-
-    const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4);
-    const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8);
-    const int vh_shift = 2 * ((iqs % (QI6_K/2)) / (QI6_K/4));
-
-    const int vl = get_int_from_uint8(bq6_K->ql, iqs);
-    const int vh = get_int_from_uint8(bq6_K->qh, (QI6_K/4) * (iqs / (QI6_K/2)) + iqs % (QI6_K/4)) >> vh_shift;
-
-    const int8_t * scales = bq6_K->scales + scale_offset;
-
-    int    u[QR6_K];
-    float d8[QR6_K];
-
-#pragma unroll
-    for (int i = 0; i < QR6_K; ++i) {
-        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + 2*i].qs, iqs % QI8_1);
-        d8[i] = bq8_1[bq8_offset + 2 * i].ds[0];
-    }
-
-    return vec_dot_q6_K_q8_1_impl_mmvq(vl, vh, u, scales, bq6_K->d, d8);
-}
-
-template <int mmq_y>
-static __dpct_inline__ void
-allocate_tiles_q6_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
-                    int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_sc) {
-    (void)x_qh;
-
-    *x_ql = tile_x_ql;
-    *x_dm = tile_x_dm;
-    *x_sc = tile_x_sc;
-}
-
-template <int mmq_y, int nwarps, bool need_check>
-static __dpct_inline__ void
-load_tiles_q6_K(const void *__restrict__ vx, int *__restrict__ x_ql,
-                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
-                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
-                const int &k, const int &blocks_per_row) {
-    (void)x_qh;
-
-    GGML_SYCL_ASSUME(i_offset >= 0);
-    GGML_SYCL_ASSUME(i_offset <  nwarps);
-    GGML_SYCL_ASSUME(k >= 0);
-    GGML_SYCL_ASSUME(k <  WARP_SIZE);
-
-    const int kbx  = k / QI6_K; // == 0 if QK_K == 256
-    const int kqsx = k % QI6_K; // == k if QK_K == 256
-
-    const block_q6_K * bx0 = (const block_q6_K *) vx;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
-        int i = i0 + i_offset;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx;
-        const int ky = QR6_K*kqsx;
-
-        const int ql = get_int_from_uint8(bxi->ql, kqsx);
-        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
-        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
-
-        const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4));
-        const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030;
-        const int qh1 =  (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4))))       & 0x30303030;
-
-        const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0;
-        const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2);
-
-        x_ql[i * (2 * WARP_SIZE + 1) + kq0] =
-            dpct::vectorized_binary<sycl::char4>(ql0 | qh0, 0x20202020,
-                                                 dpct::sub_sat());
-        x_ql[i * (2 * WARP_SIZE + 1) + kq1] =
-            dpct::vectorized_binary<sycl::char4>(ql1 | qh1, 0x20202020,
-                                                 dpct::sub_sat());
-    }
-
-    const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256
-    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
-    float * x_dmf = (float *) x_dm;
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) {
-        int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd;
-
-        x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d;
-    }
-
-#pragma unroll
-    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
-        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
-
-        if (need_check) {
-            i = sycl::min(i, i_max);
-        }
-
-        const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4;
-
-        x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8));
-    }
-}
-
-static __dpct_inline__ float vec_dot_q6_K_q8_1_mul_mat(
-    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
-    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
-    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
-    const int &i, const int &j, const int &k) {
-    (void)x_qh;
-
-    const float * x_dmf = (const float *) x_dm;
-    const float * y_df  = (const float *) y_ds;
-
-    const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]);
-
-    const int index_x = i * (QR6_K*WARP_SIZE + 1) +  QR6_K*k;
-    const int index_y = j * WARP_SIZE             + (QR6_K*k) % WARP_SIZE;
-    return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
-}
-
-
-static __dpct_inline__ float
-vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq,
-                     const block_q8_1 *__restrict__ bq8_1, const int &iqs,
-                     const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs,
-                     const uint8_t *kmask_iq2xs) {
-    const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
-
-#if QR2_XXS == 8
-    const int ib32 = iqs;
-    const uint16_t * q2 = bq2->qs + 4*ib32;
-    const uint8_t  * aux8 = (const uint8_t *)q2;
-    const int8_t   * q8 = bq8_1[ib32].qs;
-    uint32_t aux32 = q2[2] | (q2[3] << 16);
-    int sumi = 0;
-    for (int l = 0; l < 4; ++l) {
-        const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]);
-        const uint8_t  signs = ksigns_iq2xs[aux32 & 127];
-        for (int j = 0; j < 8; ++j) {
-            sumi += q8[j] * grid[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
-        }
-        q8 += 8;
-        aux32 >>= 7;
-    }
-    const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.25f;
-    return d * sumi;
-#else
-    // iqs is 0...15
-    const int ib32 = iqs/2;
-    const int il = iqs%2;
-    const uint16_t * q2 = bq2->qs + 4*ib32;
-    const uint8_t  * aux8 = (const uint8_t *)q2;
-    const uint8_t  * grid1 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+0]);
-    const uint8_t  * grid2 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+1]);
-    const uint32_t aux32 = q2[2] | (q2[3] << 16);
-    const float d = (float)bq2->d * (0.5f + (aux32 >> 28)) * bq8_1[ib32].ds[0] * 0.25f;
-    const uint8_t signs1 = ksigns_iq2xs[(aux32 >> 14*il) & 127];
-    const uint8_t signs2 = ksigns_iq2xs[(aux32 >> (14*il + 7)) & 127];
-    const int8_t * q8 = bq8_1[ib32].qs + 16*il;
-    int sumi1 = 0, sumi2 = 0;
-    for (int j = 0; j < 8; ++j) {
-        sumi1 += q8[j+0] * grid1[j] * (signs1 & kmask_iq2xs[j] ? -1 : 1);
-        sumi2 += q8[j+8] * grid2[j] * (signs2 & kmask_iq2xs[j] ? -1 : 1);
-    }
-    return d * (sumi1 + sumi2);
-#endif
-}
-
-static __dpct_inline__ float
-vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq,
-                    const block_q8_1 *__restrict__ bq8_1, const int &iqs,
-                    const uint64_t *iq2xs_grid, const uint64_t *ksigns64) {
-#if DPCT_COMPATIBILITY_TEMP >=                                                 \
-    MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
-
-    const int ib32 = iqs;
-    const uint16_t * q2 = bq2->qs + 4*ib32;
-    const int8_t   * q8 = bq8_1[ib32].qs;
-    const uint8_t ls1 = bq2->scales[ib32] & 0xf;
-    const uint8_t ls2 = bq2->scales[ib32] >>  4;
-    int sumi1 = 0;
-    for (int l = 0; l < 2; ++l) {
-        const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
-        const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid[0] ^ signs[0], signs[0], std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid[1] ^ signs[1], signs[1], std::minus<>());
-        sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
-        sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
-        q8 += 8;
-    }
-    int sumi2 = 0;
-    for (int l = 2; l < 4; ++l) {
-        const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
-        const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid[0] ^ signs[0], signs[0], std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid[1] ^ signs[1], signs[1], std::minus<>());
-        sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
-        sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
-        q8 += 8;
-    }
-    const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
-    return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
-#else
-    assert(false);
-    return 0.f;
-#endif
-}
-
-static __dpct_inline__ float
-vec_dot_iq2_s_q8_1(const void *__restrict__ vbq,
-                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-    const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
-
-    const int ib32 = iqs;
-    const int8_t  * q8 = bq8_1[ib32].qs;
-    const uint8_t * signs = bq2->qs + QK_K/8 + 4*ib32;
-    const uint8_t ls1 = bq2->scales[ib32] & 0xf;
-    const uint8_t ls2 = bq2->scales[ib32] >>  4;
-    int sumi1 = 0;
-    for (int l = 0; l < 2; ++l) {
-        const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
-        const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
-            ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
-            std::equal_to<>());
-        const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
-            ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
-            std::equal_to<>());
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid[0] ^ signs0, signs0, std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid[1] ^ signs1, signs1, std::minus<>());
-        sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
-        sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
-        q8 += 8;
-    }
-    int sumi2 = 0;
-    for (int l = 2; l < 4; ++l) {
-        const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
-        const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
-            ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
-            std::equal_to<>());
-        const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
-            ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
-            std::equal_to<>());
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid[0] ^ signs0, signs0, std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid[1] ^ signs1, signs1, std::minus<>());
-        sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
-        sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
-        q8 += 8;
-    }
-    const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
-    return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
-}
-
-static __dpct_inline__ float
-vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
-                     const block_q8_1 *__restrict__ bq8_1, const int &iqs,
-                     const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) {
-#if DPCT_COMPATIBILITY_TEMP >=                                                 \
-    MIN_CC_DP4A // lowest compute capability for integer intrinsics
-    const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
-
-    const int ib32 = iqs;
-    const uint8_t  * q3 = bq2->qs + 8*ib32;
-    const uint16_t * gas = (const uint16_t *)(bq2->qs + QK_K/4) + 2*ib32;
-    const int8_t   * q8 = bq8_1[ib32].qs;
-    uint32_t aux32 = gas[0] | (gas[1] << 16);
-    int sumi = 0;
-    for (int l = 0; l < 4; ++l) {
-        const uint32_t * grid1 = iq3xxs_grid + q3[2*l+0];
-        const uint32_t * grid2 = iq3xxs_grid + q3[2*l+1];
-        const uint32_t * signs = (const uint32_t *)(ksigns64 + (aux32 & 127));
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid1[0] ^ signs[0], signs[0], std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid2[0] ^ signs[1], signs[1], std::minus<>());
-        sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
-        sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
-        q8 += 8;
-        aux32 >>= 7;
-    }
-    const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.5f;
-    return d * sumi;
-#else
-    assert(false);
-    return 0.f;
-#endif
-}
-
-static __dpct_inline__ float
-vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
-                   const block_q8_1 *__restrict__ bq8_1, const int &iqs,
-                   const uint32_t *iq3s_grid) {
-    const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
-
-    const int ib32 = iqs;
-    const uint8_t  * qs = bq2->qs + 8*ib32;
-    const int8_t   * q8 = bq8_1[ib32].qs;
-    int sumi = 0;
-    for (int l = 0; l < 4; ++l) {
-        const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256));
-        const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256));
-        uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
-            ((bq2->signs[4 * ib32 + l] & 0xf) * 0x01010101) & 0x08040201,
-            0x08040201, std::equal_to<>());
-        uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
-            ((bq2->signs[4 * ib32 + l] >> 4) * 0x01010101) & 0x08040201,
-            0x08040201, std::equal_to<>());
-        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
-            grid1[0] ^ signs0, signs0, std::minus<>());
-        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
-            grid2[0] ^ signs1, signs1, std::minus<>());
-        sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
-        sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
-        q8 += 8;
-    }
-    const float d =
-        (float)bq2->d *
-        (1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) *
-        bq8_1[ib32].ds[0];
-    return d * sumi;
-}
-
-static __dpct_inline__ float
-vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
-                   const block_q8_1 *__restrict__ bq8_1, const int &iqs,
-                   const uint32_t *iq1s_grid_gpu) {
-    const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
-
-    const int ib32 = iqs;
-    int sumi = 0;
-    const int * q8 = (const int *)bq8_1[ib32].qs;
-    for (int l = 0; l < 4; ++l) {
-        const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[ib32] >> 3*l) & 7) << 8)));
-        int grid0 = grid[0] & 0x0f0f0f0f;
-        int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
-        sumi = dpct::dp4a(q8[2 * l + 1], grid1,
-                          dpct::dp4a(q8[2 * l + 0], grid0, sumi));
-    }
-
-    const float delta = bq1->qh[ib32] & 0x8000 ? -1-IQ1S_DELTA : -1+IQ1S_DELTA;
-    const float d1q = (float)bq1->d * (2*((bq1->qh[ib32] >> 12) & 7) + 1);
-    const float d = d1q * bq8_1[ib32].ds[0];
-    const float m = d1q * bq8_1[ib32].ds[1];
-    return d * sumi + m * delta;
-}
-
-static __dpct_inline__ float
-vec_dot_iq1_m_q8_1(const void *__restrict__ vbq,
-                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-    const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
-
-    const int ib32 = iqs;
-    int   sumi[2] = {0, 0};
-    float sumf[2] = {0.f, 0.f};
-
-    const int * q8 = (const int *)bq8_1[ib32].qs;
-    for (int l = 0; l < 4; ++l) {
-        const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 7) << 8)));
-        int grid0 = grid[0] & 0x0f0f0f0f;
-        int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
-        sumi[l / 2] = dpct::dp4a(q8[2 * l + 1], grid1,
-                                 dpct::dp4a(q8[2 * l + 0], grid0, sumi[l / 2]));
-        const float delta = (bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 0x08 ? -1-IQ1M_DELTA : -1+IQ1M_DELTA;
-        const int sumy = dpct::dp4a(q8[2 * l + 1], 0x01010101,
-                                    dpct::dp4a(q8[2 * l + 0], 0x01010101, 0));
-        sumf[l/2] += delta*sumy;
-    }
-
-    iq1m_scale_t scale;
-    const uint16_t * sc = (const uint16_t *)bq1->scales;
-    scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
-    const float d = (float)scale.f16 * bq8_1[ib32].ds[0];
-    return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1));
-}
-
-static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4,
-                                                  const uint8_t *values,
-                                                  int &val1, int &val2) {
-
-    uint32_t aux32; const uint8_t * q8 = (const uint8_t *)&aux32;
-    aux32 = q4 & 0x0f0f0f0f;
-    uint16_t v1 = values[q8[0]] | (values[q8[1]] << 8);
-    uint16_t v2 = values[q8[2]] | (values[q8[3]] << 8);
-    val1 = v1 | (v2 << 16);
-    aux32 = (q4 >> 4) & 0x0f0f0f0f;
-    v1 = values[q8[0]] | (values[q8[1]] << 8);
-    v2 = values[q8[2]] | (values[q8[3]] << 8);
-    val2 = v1 | (v2 << 16);
-}
-
-
-static __dpct_inline__ float
-vec_dot_iq4_nl_q8_1(const void *__restrict__ vbq,
-                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_iq4_nl * bq = (const block_iq4_nl *) vbq;
-
-    const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs;
-    const int32_t  * q8 = (const int32_t  *)bq8_1->qs + iqs;
-
-    const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
-
-    int v1, v2;
-    int sumi1 = 0, sumi2 = 0;
-    for (int l = 0; l < VDR_Q4_0_Q8_1_MMVQ; ++l) {
-        const uint32_t aux = q4[2*l] | (q4[2*l+1] << 16);
-        get_int_from_table_16(aux, values, v1, v2);
-        sumi1 = dpct::dp4a(v1, q8[l + 0], sumi1);
-        sumi2 = dpct::dp4a(v2, q8[l + 4], sumi2);
-    }
-
-    const float d = (float)bq->d * bq8_1->ds[0];
-    return d * (sumi1 + sumi2);
-}
-
-
-static __dpct_inline__ float
-vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq,
-                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
-
-    const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
-    const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
-
-    // iqs is 0...7
-    const int ib32 = iqs;
-    const int32_t  * q8 = (const int *)bq8_1[ib32].qs;
-    const uint32_t * q4 = (const uint32_t *)bq4->qs + 4*ib32;
-    const int8_t ls = ((bq4->scales_l[ib32/2] >> 4*(ib32%2)) & 0xf) | (((bq4->scales_h >> 2*ib32) & 3) << 4);
-    const float d = (float)bq4->d * (ls - 32) * bq8_1[ib32].ds[0];
-    int v1, v2;
-    int sumi1 = 0, sumi2 = 0;
-    for (int j = 0; j < 4; ++j) {
-        get_int_from_table_16(q4[j], values, v1, v2);
-        sumi1 = dpct::dp4a(v1, q8[j + 0], sumi1);
-        sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2);
-    }
-    return d * (sumi1 + sumi2);
-}
-
-template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x,
-          int mmq_y, int nwarps, load_tiles_sycl_t load_tiles, int vdr,
-          vec_dot_q_mul_mat_sycl_t vec_dot>
-/*
-DPCT1110:8: The total declared local variable size in device function mul_mat_q
-exceeds 128 bytes and may cause high register pressure. Consult with your
-hardware vendor to find the total register size available and adjust the code,
-or use smaller sub-group size to avoid high register pressure.
-*/
-static __dpct_inline__ void
-mul_mat_q(const void *__restrict__ vx, const void *__restrict__ vy,
-          float *__restrict__ dst, const int ncols_x, const int nrows_x,
-          const int ncols_y, const int nrows_y, const int nrows_dst,
-          int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_qh,
-          int *tile_x_sc, const sycl::nd_item<3> &item_ct1, int *tile_y_qs,
-          sycl::half2 *tile_y_ds) {
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    const int blocks_per_row_x = ncols_x / qk;
-    const int blocks_per_col_y = nrows_y / QK8_1;
-    const int blocks_per_warp = WARP_SIZE / qi;
-
-    const int & ncols_dst = ncols_y;
-
-    const int row_dst_0 = item_ct1.get_group(2) * mmq_y;
-    const int & row_x_0 = row_dst_0;
-
-    const int col_dst_0 = item_ct1.get_group(1) * mmq_x;
-    const int & col_y_0 = col_dst_0;
-
-    float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}};
-
-    for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) {
-
-        load_tiles(x + row_x_0 * blocks_per_row_x + ib0, tile_x_ql, tile_x_dm,
-                   tile_x_qh, tile_x_sc, item_ct1.get_local_id(1),
-                   nrows_x - row_x_0 - 1, item_ct1.get_local_id(2),
-                   blocks_per_row_x);
-
-#pragma unroll
-        for (int ir = 0; ir < qr; ++ir) {
-            const int kqs = ir * WARP_SIZE + item_ct1.get_local_id(2);
-            const int kbxd = kqs / QI8_1;
-
-#pragma unroll
-            for (int i = 0; i < mmq_x; i += nwarps) {
-                const int col_y_eff = dpct::min(
-                    (unsigned int)(col_y_0 + item_ct1.get_local_id(1) + i),
-                    ncols_y - 1); // to prevent out-of-bounds memory accesses
-
-                const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd];
-
-                const int index_y = (item_ct1.get_local_id(1) + i) * WARP_SIZE +
-                                    kqs % WARP_SIZE;
-                tile_y_qs[index_y] = get_int_from_int8_aligned(
-                    by0->qs, item_ct1.get_local_id(2) % QI8_1);
-            }
-
-#pragma unroll
-            for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) {
-                const int ids =
-                    (ids0 + item_ct1.get_local_id(1) * QI8_1 +
-                     item_ct1.get_local_id(2) / (WARP_SIZE / QI8_1)) %
-                    mmq_x;
-                const int kby = item_ct1.get_local_id(2) % (WARP_SIZE / QI8_1);
-                const int col_y_eff = sycl::min(col_y_0 + ids, ncols_y - 1);
-
-                // if the sum is not needed it's faster to transform the scale to f32 ahead of time
-                const sycl::half2 *dsi_src =
-                    &y[col_y_eff * blocks_per_col_y + ib0 * (qk / QK8_1) +
-                       ir * (WARP_SIZE / QI8_1) + kby]
-                         .ds;
-                sycl::half2 *dsi_dst =
-                    &tile_y_ds[ids * (WARP_SIZE / QI8_1) + kby];
-                if (need_sum) {
-                    *dsi_dst = *dsi_src;
-                } else {
-                    float * dfi_dst = (float *) dsi_dst;
-                    *dfi_dst = (*dsi_src)[0];
-                }
-            }
-
-            /*
-            DPCT1118:9: SYCL group functions and algorithms must be encountered
-            in converged control flow. You may need to adjust the code.
-            */
-            /*
-            DPCT1065:56: Consider replacing sycl::nd_item::barrier() with
-            sycl::nd_item::barrier(sycl::access::fence_space::local_space) for
-            better performance if there is no access to global memory.
-            */
-            item_ct1.barrier();
-
-// #pragma unroll // unrolling this loop causes too much register pressure
-            for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) {
-#pragma unroll
-                for (int j = 0; j < mmq_x; j += nwarps) {
-#pragma unroll
-                    for (int i = 0; i < mmq_y; i += WARP_SIZE) {
-                        sum[i / WARP_SIZE][j / nwarps] += vec_dot(
-                            tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc,
-                            tile_y_qs, tile_y_ds, item_ct1.get_local_id(2) + i,
-                            item_ct1.get_local_id(1) + j, k);
-                    }
-                }
-            }
-
-            /*
-            DPCT1118:10: SYCL group functions and algorithms must be encountered
-            in converged control flow. You may need to adjust the code.
-            */
-            /*
-            DPCT1065:57: Consider replacing sycl::nd_item::barrier() with
-            sycl::nd_item::barrier(sycl::access::fence_space::local_space) for
-            better performance if there is no access to global memory.
-            */
-            item_ct1.barrier();
-        }
-    }
-
-#pragma unroll
-    for (int j = 0; j < mmq_x; j += nwarps) {
-        const int col_dst = col_dst_0 + j + item_ct1.get_local_id(1);
-
-        if (col_dst >= ncols_dst) {
-            return;
-        }
-
-#pragma unroll
-        for (int i = 0; i < mmq_y; i += WARP_SIZE) {
-            const int row_dst = row_dst_0 + item_ct1.get_local_id(2) + i;
-
-            if (row_dst >= nrows_dst) {
-                continue;
-            }
-
-            dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps];
-        }
-    }
-}
-
-#define  MMQ_X_Q4_0_RDNA2  64
-#define  MMQ_Y_Q4_0_RDNA2  128
-#define NWARPS_Q4_0_RDNA2  8
-#define  MMQ_X_Q4_0_RDNA1  64
-#define  MMQ_Y_Q4_0_RDNA1  64
-#define NWARPS_Q4_0_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q4_0_AMPERE 4
-#define  MMQ_Y_Q4_0_AMPERE 32
-#define NWARPS_Q4_0_AMPERE 4
-#else
-#define  MMQ_X_Q4_0_AMPERE 64
-#define  MMQ_Y_Q4_0_AMPERE 128
-#define NWARPS_Q4_0_AMPERE 4
-#endif
-#define  MMQ_X_Q4_0_PASCAL 64
-#define  MMQ_Y_Q4_0_PASCAL 64
-#define NWARPS_Q4_0_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q4_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_0, float *tile_x_d_q4_0,
-    int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-
-    const int mmq_x  =  MMQ_X_Q4_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_0_AMPERE;
-    const int nwarps = NWARPS_Q4_0_AMPERE;
-    allocate_tiles_q4_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_qs_q4_0, tile_x_d_q4_0);
-    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps,
-              load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ,
-              vec_dot_q4_0_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q4_1_RDNA2  64
-#define  MMQ_Y_Q4_1_RDNA2  128
-#define NWARPS_Q4_1_RDNA2  8
-#define  MMQ_X_Q4_1_RDNA1  64
-#define  MMQ_Y_Q4_1_RDNA1  64
-#define NWARPS_Q4_1_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q4_1_AMPERE 4
-#define  MMQ_Y_Q4_1_AMPERE 32
-#define NWARPS_Q4_1_AMPERE 4
-#else
-#define  MMQ_X_Q4_1_AMPERE 64
-#define  MMQ_Y_Q4_1_AMPERE 128
-#define NWARPS_Q4_1_AMPERE 4
-#endif
-#define  MMQ_X_Q4_1_PASCAL 64
-#define  MMQ_Y_Q4_1_PASCAL 64
-#define NWARPS_Q4_1_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q4_1(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_1,
-    sycl::half2 *tile_x_dm_q4_1, int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q4_1_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_1_AMPERE;
-    const int nwarps = NWARPS_Q4_1_AMPERE;
-    allocate_tiles_q4_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_qs_q4_1, tile_x_dm_q4_1);
-    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps,
-              load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ,
-              vec_dot_q4_1_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q5_0_RDNA2  64
-#define  MMQ_Y_Q5_0_RDNA2  128
-#define NWARPS_Q5_0_RDNA2  8
-#define  MMQ_X_Q5_0_RDNA1  64
-#define  MMQ_Y_Q5_0_RDNA1  64
-#define NWARPS_Q5_0_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q5_0_AMPERE 4
-#define  MMQ_Y_Q5_0_AMPERE 32
-#define NWARPS_Q5_0_AMPERE 4
-#else
-#define  MMQ_X_Q5_0_AMPERE 128
-#define  MMQ_Y_Q5_0_AMPERE 64
-#define NWARPS_Q5_0_AMPERE 4
-#endif
-#define  MMQ_X_Q5_0_PASCAL 64
-#define  MMQ_Y_Q5_0_PASCAL 64
-#define NWARPS_Q5_0_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q5_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_0, float *tile_x_d_q5_0,
-    int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q5_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_0_AMPERE;
-    const int nwarps = NWARPS_Q5_0_AMPERE;
-    allocate_tiles_q5_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q5_0, tile_x_d_q5_0);
-    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps,
-              load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ,
-              vec_dot_q5_0_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q5_1_RDNA2  64
-#define  MMQ_Y_Q5_1_RDNA2  128
-#define NWARPS_Q5_1_RDNA2  8
-#define  MMQ_X_Q5_1_RDNA1  64
-#define  MMQ_Y_Q5_1_RDNA1  64
-#define NWARPS_Q5_1_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q5_1_AMPERE 4
-#define  MMQ_Y_Q5_1_AMPERE 32
-#define NWARPS_Q5_1_AMPERE 4
-#else
-#define  MMQ_X_Q5_1_AMPERE 128
-#define  MMQ_Y_Q5_1_AMPERE 64
-#define NWARPS_Q5_1_AMPERE 4
-#endif
-#define  MMQ_X_Q5_1_PASCAL 64
-#define  MMQ_Y_Q5_1_PASCAL 64
-#define NWARPS_Q5_1_PASCAL 8
-
-template <bool need_check> static void
-mul_mat_q5_1(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_1,
-    sycl::half2 *tile_x_dm_q5_1, int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q5_1_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_1_AMPERE;
-    const int nwarps = NWARPS_Q5_1_AMPERE;
-    allocate_tiles_q5_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q5_1, tile_x_dm_q5_1);
-    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps,
-              load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ,
-              vec_dot_q5_1_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q8_0_RDNA2  64
-#define  MMQ_Y_Q8_0_RDNA2  128
-#define NWARPS_Q8_0_RDNA2  8
-#define  MMQ_X_Q8_0_RDNA1  64
-#define  MMQ_Y_Q8_0_RDNA1  64
-#define NWARPS_Q8_0_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q8_0_AMPERE 4
-#define  MMQ_Y_Q8_0_AMPERE 32
-#define NWARPS_Q8_0_AMPERE 4
-#else
-#define  MMQ_X_Q8_0_AMPERE 128
-#define  MMQ_Y_Q8_0_AMPERE 64
-#define NWARPS_Q8_0_AMPERE 4
-#endif
-#define  MMQ_X_Q8_0_PASCAL 64
-#define  MMQ_Y_Q8_0_PASCAL 64
-#define NWARPS_Q8_0_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q8_0(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q8_0, float *tile_x_d_q8_0,
-    int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q8_0_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q8_0_AMPERE;
-    const int nwarps = NWARPS_Q8_0_AMPERE;
-    allocate_tiles_q8_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_qs_q8_0, tile_x_d_q8_0);
-    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps,
-              load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ,
-              vec_dot_q8_0_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q2_K_RDNA2  64
-#define  MMQ_Y_Q2_K_RDNA2  128
-#define NWARPS_Q2_K_RDNA2  8
-#define  MMQ_X_Q2_K_RDNA1  128
-#define  MMQ_Y_Q2_K_RDNA1  32
-#define NWARPS_Q2_K_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q2_K_AMPERE 4
-#define  MMQ_Y_Q2_K_AMPERE 32
-#define NWARPS_Q2_K_AMPERE 4
-#else
-#define  MMQ_X_Q2_K_AMPERE 64
-#define  MMQ_Y_Q2_K_AMPERE 128
-#define NWARPS_Q2_K_AMPERE 4
-#endif
-#define  MMQ_X_Q2_K_PASCAL 64
-#define  MMQ_Y_Q2_K_PASCAL 64
-#define NWARPS_Q2_K_PASCAL 8
-
-template <bool need_check> static void
-mul_mat_q2_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q2_K,
-    sycl::half2 *tile_x_dm_q2_K, int *tile_x_sc_q2_K, int *tile_y_qs,
-    sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q2_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q2_K_AMPERE;
-    const int nwarps = NWARPS_Q2_K_AMPERE;
-    allocate_tiles_q2_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q2_K, tile_x_dm_q2_K, tile_x_sc_q2_K);
-    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps,
-              load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ,
-              vec_dot_q2_K_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q3_K_RDNA2  128
-#define  MMQ_Y_Q3_K_RDNA2  64
-#define NWARPS_Q3_K_RDNA2  8
-#define  MMQ_X_Q3_K_RDNA1  32
-#define  MMQ_Y_Q3_K_RDNA1  128
-#define NWARPS_Q3_K_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q3_K_AMPERE 4
-#define  MMQ_Y_Q3_K_AMPERE 32
-#define NWARPS_Q3_K_AMPERE 4
-#else
-#define  MMQ_X_Q3_K_AMPERE 128
-#define  MMQ_Y_Q3_K_AMPERE 128
-#define NWARPS_Q3_K_AMPERE 4
-#endif
-#define  MMQ_X_Q3_K_PASCAL 64
-#define  MMQ_Y_Q3_K_PASCAL 64
-#define NWARPS_Q3_K_PASCAL 8
-
-template <bool need_check> static void
-mul_mat_q3_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q3_K,
-    sycl::half2 *tile_x_dm_q3_K, int *tile_x_qh_q3_K, int *tile_x_sc_q3_K,
-    int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q3_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q3_K_AMPERE;
-    const int nwarps = NWARPS_Q3_K_AMPERE;
-    allocate_tiles_q3_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q3_K, tile_x_dm_q3_K, tile_x_qh_q3_K,
-                               tile_x_sc_q3_K);
-    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps,
-              load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ,
-              vec_dot_q3_K_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q4_K_RDNA2  64
-#define  MMQ_Y_Q4_K_RDNA2  128
-#define NWARPS_Q4_K_RDNA2  8
-#define  MMQ_X_Q4_K_RDNA1  32
-#define  MMQ_Y_Q4_K_RDNA1  64
-#define NWARPS_Q4_K_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q4_K_AMPERE 4
-#define  MMQ_Y_Q4_K_AMPERE 32
-#define NWARPS_Q4_K_AMPERE 4
-#else
-#define  MMQ_X_Q4_K_AMPERE 64
-#define  MMQ_Y_Q4_K_AMPERE 128
-#define NWARPS_Q4_K_AMPERE 4
-#endif
-#define  MMQ_X_Q4_K_PASCAL 64
-#define  MMQ_Y_Q4_K_PASCAL 64
-#define NWARPS_Q4_K_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q4_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q4_K,
-    sycl::half2 *tile_x_dm_q4_K, int *tile_x_sc_q4_K, int *tile_y_qs,
-    sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q4_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q4_K_AMPERE;
-    const int nwarps = NWARPS_Q4_K_AMPERE;
-    allocate_tiles_q4_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q4_K, tile_x_dm_q4_K, tile_x_sc_q4_K);
-    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps,
-              load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ,
-              vec_dot_q4_K_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q5_K_RDNA2  64
-#define  MMQ_Y_Q5_K_RDNA2  128
-#define NWARPS_Q5_K_RDNA2  8
-#define  MMQ_X_Q5_K_RDNA1  32
-#define  MMQ_Y_Q5_K_RDNA1  64
-#define NWARPS_Q5_K_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q5_K_AMPERE 4
-#define  MMQ_Y_Q5_K_AMPERE 32
-#define NWARPS_Q5_K_AMPERE 4
-#else
-#define  MMQ_X_Q5_K_AMPERE 64
-#define  MMQ_Y_Q5_K_AMPERE 128
-#define NWARPS_Q5_K_AMPERE 4
-#endif
-#define  MMQ_X_Q5_K_PASCAL 64
-#define  MMQ_Y_Q5_K_PASCAL 64
-#define NWARPS_Q5_K_PASCAL 8
-
-template <bool need_check> static void
-mul_mat_q5_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_K,
-    sycl::half2 *tile_x_dm_q5_K, int *tile_x_sc_q5_K, int *tile_y_qs,
-    sycl::half2 *tile_y_ds) {
-    int   * tile_x_ql = nullptr;
-    sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q5_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q5_K_AMPERE;
-    const int nwarps = NWARPS_Q5_K_AMPERE;
-    allocate_tiles_q5_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql_q5_K, tile_x_dm_q5_K, tile_x_sc_q5_K);
-    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps,
-              load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ,
-              vec_dot_q5_K_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-#define  MMQ_X_Q6_K_RDNA2  64
-#define  MMQ_Y_Q6_K_RDNA2  128
-#define NWARPS_Q6_K_RDNA2  8
-#define  MMQ_X_Q6_K_RDNA1  32
-#define  MMQ_Y_Q6_K_RDNA1  64
-#define NWARPS_Q6_K_RDNA1  8
-#if defined(SYCL_USE_XMX)
-#define  MMQ_X_Q6_K_AMPERE 4
-#define  MMQ_Y_Q6_K_AMPERE 32
-#define NWARPS_Q6_K_AMPERE 4
-#else
-#define  MMQ_X_Q6_K_AMPERE 64
-#define  MMQ_Y_Q6_K_AMPERE 64
-#define NWARPS_Q6_K_AMPERE 4
-#endif
-#define  MMQ_X_Q6_K_PASCAL 64
-#define  MMQ_Y_Q6_K_PASCAL 64
-#define NWARPS_Q6_K_PASCAL 8
-
-template <bool need_check> static void
-    mul_mat_q6_K(
-    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
-    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
-    const sycl::nd_item<3> &item_ct1, int *tile_x_ql, sycl::half2 *tile_x_dm,
-    int *tile_x_sc, int *tile_y_qs, sycl::half2 *tile_y_ds) {
-    // int   * tile_x_ql = nullptr;
-    // sycl::half2 *tile_x_dm = nullptr;
-    int   * tile_x_qh = nullptr;
-    // int   * tile_x_sc = nullptr;
-
-//sycl_todo: change according to hardware
-    const int mmq_x  =  MMQ_X_Q6_K_AMPERE;
-    const int mmq_y  =  MMQ_Y_Q6_K_AMPERE;
-    const int nwarps = NWARPS_Q6_K_AMPERE;
-    allocate_tiles_q6_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
-                               tile_x_ql, tile_x_dm, tile_x_sc);
-    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps,
-              load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ,
-              vec_dot_q6_K_q8_1_mul_mat>(
-        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
-        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
-}
-
-template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_sycl_t vec_dot_q_sycl>
-static void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows,
-                          const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-    const int qi_vdr = (qi / vdr); // N_threads processing 1 qk block
-
-    // partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / qi_vdr; i < blocks_per_row;
-         i += blocks_per_warp) {
-      const int ibx = row * blocks_per_row + i; // x block index
-
-      const int iby = i * (qk / QK8_1); // y block index that aligns with ibx
-
-      const int iqs =
-          vdr *
-          (item_ct1.get_local_id(2) -
-           i * qi_vdr); // x block quant index when casting the quants to int
-
-      tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq2_xxs_q8_1(const void *__restrict__ vx,
-                                       const void *__restrict__ vy,
-                                       float *__restrict__ dst, const int ncols,
-                                       const int nrows,
-                                       const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq2_xxs_q8_1(&x[ibx], &y[iby], iqs, iq2xxs_grid, ksigns_iq2xs, kmask_iq2xs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq2_xs_q8_1(const void *__restrict__ vx,
-                                      const void *__restrict__ vy,
-                                      float *__restrict__ dst, const int ncols,
-                                      const int nrows,
-                                      const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq2_xs_q8_1(&x[ibx], &y[iby], iqs, iq2xs_grid, ksigns64);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq2_s_q8_1(const void *__restrict__ vx,
-                                     const void *__restrict__ vy,
-                                     float *__restrict__ dst, const int ncols,
-                                     const int nrows,
-                                     const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq2_s_q8_1(&x[ibx], &y[iby], iqs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq3_xxs_q8_1(const void *__restrict__ vx,
-                                       const void *__restrict__ vy,
-                                       float *__restrict__ dst, const int ncols,
-                                       const int nrows,
-                                       const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq3_xxs_q8_1(&x[ibx], &y[iby], iqs, iq3xxs_grid, ksigns64);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq3_s_q8_1(const void *__restrict__ vx,
-                                     const void *__restrict__ vy,
-                                     float *__restrict__ dst, const int ncols,
-                                     const int nrows,
-                                     const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq1_s_q8_1(const void *__restrict__ vx,
-                                     const void *__restrict__ vy,
-                                     float *__restrict__ dst, const int ncols,
-                                     const int nrows,
-                                     const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_gpu);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq1_m_q8_1(const void *__restrict__ vx,
-                                     const void *__restrict__ vy,
-                                     float *__restrict__ dst, const int ncols,
-                                     const int nrows,
-                                     const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq1_m_q8_1(&x[ibx], &y[iby], iqs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq4_nl_q8_1(const void *__restrict__ vx,
-                                      const void *__restrict__ vy,
-                                      float *__restrict__ dst, const int ncols,
-                                      const int nrows,
-                                      const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq4_nl_q8_1(&x[ibx], &y[iby], iqs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-
-template <int qk, int qi, typename block_q_t, int vdr>
-static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx,
-                                      const void *__restrict__ vy,
-                                      float *__restrict__ dst, const int ncols,
-                                      const int nrows,
-                                      const sycl::nd_item<3> &item_ct1) {
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int blocks_per_row = ncols / qk;
-    const int blocks_per_warp = vdr * WARP_SIZE / qi;
-
-// partial sum for each thread
-    float tmp = 0.0f;
-
-    const block_q_t  * x = (const block_q_t  *) vx;
-    const block_q8_1 * y = (const block_q8_1 *) vy;
-
-    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
-         i += blocks_per_warp) {
-        const int ibx = row*blocks_per_row + i; // x block index
-
-        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
-
-        const int iqs =
-            vdr *
-            (item_ct1.get_local_id(2) %
-             (qi / vdr)); // x block quant index when casting the quants to int
-
-        tmp += vec_dot_iq4_xs_q8_1(&x[ibx], &y[iby], iqs);
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (item_ct1.get_local_id(2) == 0) {
-        dst[row] = tmp;
-    }
-}
-
-
-template <int qk, int qr, dequantize_kernel_t dequantize_kernel>
-static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows,
-                                   const sycl::nd_item<3> &item_ct1) {
-    // qk = quantized weights per x block
-    // qr = number of quantized weights per data value in x block
-    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
-                    item_ct1.get_local_id(1);
-
-    if (row >= nrows) {
-        return;
-    }
-
-    const int tid = item_ct1.get_local_id(2);
-
-    const int iter_stride = 2*GGML_SYCL_DMMV_X;
-    const int vals_per_iter = iter_stride / WARP_SIZE; // num quantized vals per thread and i iter
-    const int y_offset = qr == 1 ? 1 : qk/2;
-
-// partial sum for each thread
-#ifdef GGML_SYCL_F16
-    sycl::half2 tmp = {0.0f, 0.0f}; // two sums for f16 to take advantage of half2 intrinsics
-#else
-    float tmp = 0.0f;
-#endif // GGML_SYCL_F16
-
-    for (int i = 0; i < ncols; i += iter_stride) {
-        const int col = i + vals_per_iter*tid;
-        const int ib = (row*ncols + col)/qk; // x block index
-        const int iqs = (col%qk)/qr; // x quant index
-        const int iybs = col - col%qk; // y block start index
-
-// processing >2 values per i iter is faster for fast GPUs
-#pragma unroll
-        for (int j = 0; j < vals_per_iter; j += 2) {
-            // process 2 vals per j iter
-
-            // dequantize
-            // for qr = 2 the iqs needs to increase by 1 per j iter because 2 weights per data val
-            dfloat2 v;
-            dequantize_kernel(vx, ib, iqs + j/qr, v);
-
-            // matrix multiplication
-            // for qr = 2 the y index needs to increase by 1 per j iter because of y_offset = qk/2
-#ifdef GGML_SYCL_F16
-            dfloat2 t1{y[iybs + iqs + j / qr + 0],
-                        y[iybs + iqs + j / qr + y_offset]};
-
-            tmp += v * t1;
-#else
-            tmp += v.x() * y[iybs + iqs + j / qr + 0];
-            tmp += v.y() * y[iybs + iqs + j / qr + y_offset];
-#endif // GGML_SYCL_F16
-        }
-    }
-
-    // sum up partial sums and write back result
-#pragma unroll
-    for (int mask = 16; mask > 0; mask >>= 1) {
-        tmp +=
-            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
-    }
-
-    if (tid == 0) {
-#ifdef GGML_SYCL_F16
-        dst[row] = tmp.x() + tmp.y();
-#else
-        dst[row] = tmp;
-#endif // GGML_SYCL_F16
-    }
-}
-
 static void mul_mat_p021_f16_f32(
     const void * __restrict__ vx, const float * __restrict__ y, float * __restrict__ dst,
     const int ncols_x, const int nrows_x, const int nchannels_x, const int nchannels_y,
@@ -6219,8 +1770,7 @@ static void norm_f32_sycl(const float *x, float *dst, const int ncols,
                     });
         });
     } else {
-        // FIXME: 1024 from cuda
-        const int work_group_size = GROUP_SIZE;
+        const int work_group_size = get_work_group_size(stream->get_device());
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:17: The work-group size passed to the SYCL kernel may exceed
@@ -6266,7 +1816,7 @@ static void group_norm_f32_sycl(const float *x, float *dst,
                     });
         });
     } else {
-        const int work_group_size = GROUP_SIZE;
+        const int work_group_size = get_work_group_size(stream->get_device());
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:18: The work-group size passed to the SYCL kernel may exceed
@@ -6355,7 +1905,7 @@ static void rms_norm_f32_sycl(const float *x, float *dst, const int ncols,
                     });
         });
     } else {
-        const int work_group_size = GROUP_SIZE;
+        const int work_group_size = get_work_group_size(stream->get_device());
         const sycl::range<3> block_dims(1, 1, work_group_size);
         /*
         DPCT1049:19: The work-group size passed to the SYCL kernel may exceed
@@ -6396,2298 +1946,6 @@ static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx,
     }
 }
 
-template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
-static void dequantize_block_sycl(const void *__restrict__ vx,
-                                  dst_t *__restrict__ y, const int k,
-                                  queue_ptr stream) {
-    const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-        stream->parallel_for(
-            sycl::nd_range<3>(
-                sycl::range<3>(1, 1, num_blocks) *
-                    sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE),
-                sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
-                dequantize_block<qk, qr, dequantize_kernel>(vx, y, k, item_ct1);
-            });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 64),
-                                               sycl::range<3>(1, 1, 64)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q2_K(vx, y, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 64),
-                                               sycl::range<3>(1, 1, 64)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q3_K(vx, y, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb32 = k / 32;
-    const int nb = (k + 255) / 256;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q4_0(vx, y, nb32, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb32 = k / 32;
-    const int nb = (k + 255) / 256;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q4_1(vx, y, nb32, item_ct1);
-                             });
-    }
-}
-
-
-template <typename dst_t>
-static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q4_K(vx, y, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 64),
-                                               sycl::range<3>(1, 1, 64)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q5_K(vx, y, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
-                                     queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 64),
-                                               sycl::range<3>(1, 1, 64)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_q6_K(vx, y, item_ct1);
-                             });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k,
-                                        queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq1_s(
-                                     vx, y, item_ct1, iq1s_grid_gpu
-                                     );
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k,
-                                        queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq1_m(
-                                     vx, y, item_ct1, iq1s_grid_gpu
-                                     );
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k,
-                                        queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq2_xxs(
-                                     vx, y, item_ct1, iq2xxs_grid,
-                                     ksigns_iq2xs, kmask_iq2xs);
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k,
-                                       queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq2_xs(
-                                     vx, y, item_ct1, iq2xs_grid,
-                                     ksigns_iq2xs, kmask_iq2xs);
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k,
-                                      queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq2_s(vx, y, item_ct1);
-                             });
-        });
-    }
-}
-
-
-template <typename dst_t>
-static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k,
-                                        queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq3_xxs(
-                                     vx, y, item_ct1, iq3xxs_grid,
-                                     ksigns_iq2xs, kmask_iq2xs);
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k,
-                                        queue_ptr stream) {
-    const int nb = k / QK_K;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                                   sycl::range<3>(1, 1, 32),
-                                               sycl::range<3>(1, 1, 32)),
-                             [=](sycl::nd_item<3> item_ct1) {
-                                 dequantize_block_iq3_s(
-                                     vx, y, item_ct1, kmask_iq2xs, iq3s_grid);
-                             });
-        });
-    }
-}
-
-template <typename dst_t>
-static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
-                                       queue_ptr stream) {
-    const int nb = (k + QK_K - 1) / QK_K;
-      {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                  cgh.parallel_for(
-                      sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                            sycl::range<3>(1, 1, 32),
-                                        sycl::range<3>(1, 1, 32)),
-                      [=](sycl::nd_item<3> item_ct1) {
-                            dequantize_block_iq4_xs(vx, y, item_ct1);
-                      });
-            });
-      }
-}
-
-
-template <typename dst_t>
-static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k,
-                                       queue_ptr stream) {
-    const int nb = (k + QK_K - 1) / QK_K;
-      {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                  cgh.parallel_for(
-                      sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
-                                            sycl::range<3>(1, 1, 32),
-                                        sycl::range<3>(1, 1, 32)),
-                      [=](sycl::nd_item<3> item_ct1) {
-                            dequantize_block_iq4_nl(vx, y, item_ct1);
-                      });
-            });
-      }
-}
-
-
-
-template <typename src_t, typename dst_t>
-static void convert_unary_sycl(const void *__restrict__ vx,
-                               dst_t *__restrict__ y, const int k,
-                               queue_ptr stream) {
-    const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE;
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(
-                sycl::range<3>(1, 1, num_blocks) *
-                    sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE),
-                sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)),
-            [=](sycl::nd_item<3> item_ct1) {
-                convert_unary<src_t>(vx, y, k, item_ct1);
-            });
-    }
-}
-
-
-static to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) try {
-    int id;
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return dequantize_block_sycl<QK4_0, QR4_0, dequantize_q4_0>;
-        case GGML_TYPE_Q4_1:
-            return dequantize_block_sycl<QK4_1, QR4_1, dequantize_q4_1>;
-        case GGML_TYPE_Q5_0:
-            return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>;
-        case GGML_TYPE_Q5_1:
-            return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
-        case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
-        case GGML_TYPE_Q2_K:
-            return dequantize_row_q2_K_sycl;
-        case GGML_TYPE_Q3_K:
-            return dequantize_row_q3_K_sycl;
-        case GGML_TYPE_Q4_K:
-            return dequantize_row_q4_K_sycl;
-        case GGML_TYPE_Q5_K:
-            return dequantize_row_q5_K_sycl;
-        case GGML_TYPE_Q6_K:
-            return dequantize_row_q6_K_sycl;
-        case GGML_TYPE_IQ1_S:
-            return dequantize_row_iq1_s_sycl;
-        case GGML_TYPE_IQ1_M:
-            return dequantize_row_iq1_m_sycl;
-        case GGML_TYPE_IQ2_XXS:
-            return dequantize_row_iq2_xxs_sycl;
-        case GGML_TYPE_IQ2_XS:
-            return dequantize_row_iq2_xs_sycl;
-        case GGML_TYPE_IQ2_S:
-            return dequantize_row_iq2_s_sycl;
-        case GGML_TYPE_IQ3_XXS:
-            return dequantize_row_iq3_xxs_sycl;
-        case GGML_TYPE_IQ3_S:
-            return dequantize_row_iq3_s_sycl;
-        case GGML_TYPE_IQ4_XS:
-            return dequantize_row_iq4_xs_sycl;
-        case GGML_TYPE_IQ4_NL:
-            return dequantize_row_iq4_nl_sycl;
-        case GGML_TYPE_F32:
-            return convert_unary_sycl<float>;
-        default:
-            return nullptr;
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) {
-    switch (type) {
-        case GGML_TYPE_Q4_0:
-            return dequantize_row_q4_0_sycl;
-        case GGML_TYPE_Q4_1:
-            return dequantize_row_q4_1_sycl;
-        case GGML_TYPE_Q5_0:
-            return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>;
-        case GGML_TYPE_Q5_1:
-            return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
-        case GGML_TYPE_Q8_0:
-            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
-        case GGML_TYPE_Q2_K:
-            return dequantize_row_q2_K_sycl;
-        case GGML_TYPE_Q3_K:
-            return dequantize_row_q3_K_sycl;
-        case GGML_TYPE_Q4_K:
-            return dequantize_row_q4_K_sycl;
-        case GGML_TYPE_Q5_K:
-            return dequantize_row_q5_K_sycl;
-        case GGML_TYPE_Q6_K:
-            return dequantize_row_q6_K_sycl;
-        case GGML_TYPE_IQ1_S:
-            return dequantize_row_iq1_s_sycl;
-        case GGML_TYPE_IQ1_M:
-            return dequantize_row_iq1_m_sycl;
-        case GGML_TYPE_IQ2_XXS:
-            return dequantize_row_iq2_xxs_sycl;
-        case GGML_TYPE_IQ2_XS:
-            return dequantize_row_iq2_xs_sycl;
-        case GGML_TYPE_IQ2_S:
-            return dequantize_row_iq2_s_sycl;
-        case GGML_TYPE_IQ3_XXS:
-            return dequantize_row_iq3_xxs_sycl;
-        case GGML_TYPE_IQ3_S:
-            return dequantize_row_iq3_s_sycl;
-        case GGML_TYPE_IQ4_XS:
-            return dequantize_row_iq4_xs_sycl;
-        case GGML_TYPE_IQ4_NL:
-            return dequantize_row_iq4_nl_sycl;
-        case GGML_TYPE_F16:
-            return convert_unary_sycl<sycl::half>;
-        default:
-            return nullptr;
-    }
-}
-
-static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<QK4_0, QR4_0, dequantize_q4_0>(
-                    vx, y, dst, ncols, nrows, item_ct1);
-            });
-    }
-}
-
-static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<QK4_1, QR4_1, dequantize_q4_1>(
-                    vx, y, dst, ncols, nrows, item_ct1);
-            });
-    }
-}
-
-static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<QK5_0, QR5_0, dequantize_q5_0>(
-                    vx, y, dst, ncols, nrows, item_ct1);
-            });
-    }
-}
-
-static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<QK5_1, QR5_1, dequantize_q5_1>(
-                    vx, y, dst, ncols, nrows, item_ct1);
-            });
-    }
-}
-
-static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<QK8_0, QR8_0, dequantize_q8_0>(
-                    vx, y, dst, ncols, nrows, item_ct1);
-            });
-    }
-}
-
-static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2
-    const int block_num_y = (nrows + ny - 1) / ny;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, ny, 32);
-    stream->parallel_for(
-        sycl::nd_range<3>(block_nums * block_dims, block_dims),
-        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-            dequantize_mul_mat_vec_q2_k(vx, y, dst, ncols, nrows, item_ct1);
-        });
-}
-
-static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int ny = 2 / K_QUANTS_PER_ITERATION;
-    const int block_num_y = (nrows + ny - 1) / ny;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, ny, 32);
-    stream->parallel_for(
-        sycl::nd_range<3>(block_nums * block_dims, block_dims),
-        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-            dequantize_mul_mat_vec_q3_k(vx, y, dst, ncols, nrows, item_ct1);
-        });
-}
-
-static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int ny = 2 / K_QUANTS_PER_ITERATION;
-    const int block_num_y = (nrows + ny - 1) / ny;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, ny, 32);
-    stream->parallel_for(
-        sycl::nd_range<3>(block_nums * block_dims, block_dims),
-        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-            dequantize_mul_mat_vec_q4_k(vx, y, dst, ncols, nrows, item_ct1);
-        });
-}
-
-static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const sycl::range<3> block_dims(1, 1, 32);
-    stream->parallel_for(
-        sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, block_dims),
-        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-            dequantize_mul_mat_vec_q5_k(vx, y, dst, ncols, item_ct1);
-        });
-}
-
-static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
-                                             float *dst, const int ncols,
-                                             const int nrows,
-                                             queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int ny = 2 / K_QUANTS_PER_ITERATION;
-    const int block_num_y = (nrows + ny - 1) / ny;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, ny, 32);
-    stream->parallel_for(
-        sycl::nd_range<3>(block_nums * block_dims, block_dims),
-        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-            dequantize_mul_mat_vec_q6_k(vx, y, dst, ncols, nrows, item_ct1);
-        });
-}
-
-static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y,
-                                         float *dst, const int ncols,
-                                         const int nrows,
-                                         queue_ptr stream) {
-    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        dpct::has_capability_or_fail(stream->get_device(),
-                                     {sycl::aspect::fp16});
-
-        stream->parallel_for(
-            sycl::nd_range<3>(block_nums * block_dims, block_dims),
-            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
-                dequantize_mul_mat_vec<1, 1, convert_f16>(vx, y, dst, ncols,
-                                                          nrows, item_ct1);
-            });
-    }
-}
-
-
-static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK4_0 == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK4_0, QI4_0, block_q4_0,
-                                      VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK4_1 == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK4_0, QI4_1, block_q4_1,
-                                      VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK5_0 == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK5_0, QI5_0, block_q5_0,
-                                      VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK5_1 == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK5_1, QI5_1, block_q5_1,
-                                      VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK8_0 == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK8_0, QI8_0, block_q8_0,
-                                      VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK_K, QI2_K, block_q2_K,
-                                      VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK_K, QI3_K, block_q3_K,
-                                      VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK_K, QI4_K, block_q4_K,
-                                      VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK_K, QI5_K, block_q5_K,
-                                      VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy,
-                                       float *dst, const int ncols,
-                                       const int nrows,
-                                       queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q<QK_K, QI6_K, block_q6_K,
-                                      VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-
-static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq2_xxs_q8_1<QK_K, QI2_XXS, block_iq2_xxs, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy,
-                                         float *dst, const int ncols,
-                                         const int nrows,
-                                         queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0];
-            auto ksigns64_ptr_ct1 = &ksigns64[0];
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq2_xs_q8_1<QK_K, QI2_XS, block_iq2_xs, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy,
-                                         float *dst, const int ncols,
-                                         const int nrows,
-                                         queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0];
-            auto ksigns64_ptr_ct1 = &ksigns64[0];
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq2_s_q8_1<QK_K, QI2_S, block_iq2_s, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            auto iq3xxs_grid_ptr_ct1 = &iq3xxs_grid[0];
-            auto ksigns64_ptr_ct1 = &ksigns64[0];
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq3_xxs_q8_1<QK_K, QI3_XXS, block_iq3_xxs, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            auto iq3s_grid_ptr_ct1 = &iq3s_grid[0];
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq3_s_q8_1<QK_K, QI3_XS, block_iq3_s, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            auto iq1s_grid_ptr_ct1 = &iq1s_grid_gpu[0];
-            auto ksigns64_ptr_ct1 = &ksigns64[0];
-
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq1_s_q8_1<QK_K, QI1_S, block_iq1_s, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq1_m_q8_1<QK_K, QI1_S, block_iq1_m, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK4_NL == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq4_nl_q8_1<QK4_NL, QI4_NL, block_iq4_nl, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy,
-                                          float *dst, const int ncols,
-                                          const int nrows,
-                                          queue_ptr stream) {
-    GGML_ASSERT(ncols % QK_K == 0);
-    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
-    const sycl::range<3> block_nums(1, 1, block_num_y);
-    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
-    {
-
-        stream->submit([&](sycl::handler &cgh) {
-            cgh.parallel_for(
-                sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                [=](sycl::nd_item<3> item_ct1)
-                    [[intel::reqd_sub_group_size(32)]] {
-                        mul_mat_vec_q_iq4_xs_q8_1<QK_K, QI4_XS, block_iq4_xs, 1>(
-                            vx, vy, dst, ncols, nrows, item_ct1);
-                    });
-        });
-    }
-}
-
-static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q4_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_0_RDNA2;
-        nwarps = NWARPS_Q4_0_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q4_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_0_RDNA1;
-        nwarps = NWARPS_Q4_0_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q4_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_0_AMPERE;
-        nwarps = NWARPS_Q4_0_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q4_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_0_PASCAL;
-        nwarps = NWARPS_Q4_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:20: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q4_0_acc_ct1.get_pointer(),
-                            tile_x_d_q4_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:21: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q4_0_acc_ct1.get_pointer(),
-                            tile_x_d_q4_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q4_1_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_1_RDNA2;
-        nwarps = NWARPS_Q4_1_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q4_1_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_1_RDNA1;
-        nwarps = NWARPS_Q4_1_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q4_1_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_1_AMPERE;
-        nwarps = NWARPS_Q4_1_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q4_1_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_1_PASCAL;
-        nwarps = NWARPS_Q4_1_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:22: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_1<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q4_1_acc_ct1.get_pointer(),
-                            tile_x_dm_q4_1_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:23: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_1<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q4_1_acc_ct1.get_pointer(),
-                            tile_x_dm_q4_1_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q5_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_0_RDNA2;
-        nwarps = NWARPS_Q5_0_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q5_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_0_RDNA1;
-        nwarps = NWARPS_Q5_0_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q5_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_0_AMPERE;
-        nwarps = NWARPS_Q5_0_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q5_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_0_PASCAL;
-        nwarps = NWARPS_Q5_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:24: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_0_acc_ct1.get_pointer(),
-                            tile_x_d_q5_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:25: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_0_acc_ct1.get_pointer(),
-                            tile_x_d_q5_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q5_1_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_1_RDNA2;
-        nwarps = NWARPS_Q5_1_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q5_1_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_1_RDNA1;
-        nwarps = NWARPS_Q5_1_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q5_1_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_1_AMPERE;
-        nwarps = NWARPS_Q5_1_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q5_1_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_1_PASCAL;
-        nwarps = NWARPS_Q5_1_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:26: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_1<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_1_acc_ct1.get_pointer(),
-                            tile_x_dm_q5_1_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:27: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_1<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_1_acc_ct1.get_pointer(),
-                            tile_x_dm_q5_1_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q8_0_RDNA2;
-        mmq_y  =  MMQ_Y_Q8_0_RDNA2;
-        nwarps = NWARPS_Q8_0_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q8_0_RDNA1;
-        mmq_y  =  MMQ_Y_Q8_0_RDNA1;
-        nwarps = NWARPS_Q8_0_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q8_0_AMPERE;
-        mmq_y  =  MMQ_Y_Q8_0_AMPERE;
-        nwarps = NWARPS_Q8_0_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q8_0_PASCAL;
-        mmq_y  =  MMQ_Y_Q8_0_PASCAL;
-        nwarps = NWARPS_Q8_0_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:28: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q8_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q8_0_acc_ct1.get_pointer(),
-                            tile_x_d_q8_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:29: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q8_0<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_qs_q8_0_acc_ct1.get_pointer(),
-                            tile_x_d_q8_0_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q2_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q2_K_RDNA2;
-        nwarps = NWARPS_Q2_K_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q2_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q2_K_RDNA1;
-        nwarps = NWARPS_Q2_K_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q2_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q2_K_AMPERE;
-        nwarps = NWARPS_Q2_K_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q2_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q2_K_PASCAL;
-        nwarps = NWARPS_Q2_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:30: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q2_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q2_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q2_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q2_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:31: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q2_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q2_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q2_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q2_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q3_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q3_K_RDNA2;
-        nwarps = NWARPS_Q3_K_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q3_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q3_K_RDNA1;
-        nwarps = NWARPS_Q3_K_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q3_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q3_K_AMPERE;
-        nwarps = NWARPS_Q3_K_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q3_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q3_K_PASCAL;
-        nwarps = NWARPS_Q3_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:32: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q3_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q3_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q3_K_acc_ct1.get_pointer(),
-                            tile_x_qh_q3_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q3_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:33: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q3_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q3_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q3_K_acc_ct1.get_pointer(),
-                            tile_x_qh_q3_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q3_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q4_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q4_K_RDNA2;
-        nwarps = NWARPS_Q4_K_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q4_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q4_K_RDNA1;
-        nwarps = NWARPS_Q4_K_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q4_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q4_K_AMPERE;
-        nwarps = NWARPS_Q4_K_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q4_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q4_K_PASCAL;
-        nwarps = NWARPS_Q4_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:34: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q4_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q4_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q4_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:35: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q4_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q4_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q4_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q4_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q5_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q5_K_RDNA2;
-        nwarps = NWARPS_Q5_K_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q5_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q5_K_RDNA1;
-        nwarps = NWARPS_Q5_K_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q5_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q5_K_AMPERE;
-        nwarps = NWARPS_Q5_K_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q5_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q5_K_PASCAL;
-        nwarps = NWARPS_Q5_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:36: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q5_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q5_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:37: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q5_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_q5_K_acc_ct1.get_pointer(),
-                            tile_x_dm_q5_K_acc_ct1.get_pointer(),
-                            tile_x_sc_q5_K_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
-static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy,
-                                        float *dst, const int ncols_x,
-                                        const int nrows_x, const int ncols_y,
-                                        const int nrows_y, const int nrows_dst,
-                                        queue_ptr stream) try {
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-    const int compute_capability = ggml_sycl_info().devices[id].cc;
-
-    int mmq_x, mmq_y, nwarps;
-    if (compute_capability >= VER_GEN13) {
-        mmq_x  =  MMQ_X_Q6_K_RDNA2;
-        mmq_y  =  MMQ_Y_Q6_K_RDNA2;
-        nwarps = NWARPS_Q6_K_RDNA2;
-    } else if (compute_capability >= VER_GEN12) {
-        mmq_x  =  MMQ_X_Q6_K_RDNA1;
-        mmq_y  =  MMQ_Y_Q6_K_RDNA1;
-        nwarps = NWARPS_Q6_K_RDNA1;
-    } else if (compute_capability >= VER_GEN9) {
-        mmq_x  =  MMQ_X_Q6_K_AMPERE;
-        mmq_y  =  MMQ_Y_Q6_K_AMPERE;
-        nwarps = NWARPS_Q6_K_AMPERE;
-    } else if (compute_capability >= VER_4VEC) {
-        mmq_x  =  MMQ_X_Q6_K_PASCAL;
-        mmq_y  =  MMQ_Y_Q6_K_PASCAL;
-        nwarps = NWARPS_Q6_K_PASCAL;
-    } else {
-        GGML_ASSERT(false);
-    }
-
-    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
-    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
-    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
-    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
-
-    if (nrows_x % mmq_y == 0) {
-        const bool need_check = false;
-        /*
-        DPCT1049:38: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q6_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_acc_ct1.get_pointer(),
-                            tile_x_dm_acc_ct1.get_pointer(),
-                            tile_x_sc_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    } else {
-        const bool need_check = true;
-        /*
-        DPCT1049:39: The work-group size passed to the SYCL kernel may exceed
-        the limit. To get the device limit, query
-        info::device::max_work_group_size. Adjust the work-group size if needed.
-        */
-        {
-            dpct::has_capability_or_fail(stream->get_device(),
-                                         {sycl::aspect::fp16});
-
-            stream->submit([&](sycl::handler &cgh) {
-                sycl::local_accessor<int, 1> tile_x_ql_acc_ct1(
-                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K),
-                    cgh);
-                sycl::local_accessor<int, 1> tile_x_sc_acc_ct1(
-                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
-                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
-                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
-                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
-
-                cgh.parallel_for(
-                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
-                    [=](sycl::nd_item<3> item_ct1) {
-                        mul_mat_q6_K<need_check>(
-                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
-                            nrows_dst, item_ct1,
-                            tile_x_ql_acc_ct1.get_pointer(),
-                            tile_x_dm_acc_ct1.get_pointer(),
-                            tile_x_sc_acc_ct1.get_pointer(),
-                            tile_y_qs_acc_ct1.get_pointer(),
-                            tile_y_ds_acc_ct1.get_pointer());
-                    });
-            });
-        }
-    }
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
 static void ggml_mul_mat_p021_f16_f32_sycl(const void *vx, const float *y,
                                            float *dst, const int ncols_x,
                                            const int nrows_x,
@@ -9187,7 +2445,7 @@ static void soft_max_f32_sycl(const float * x, const float * mask,
                               const int nrows_y, const float scale, const float max_bias,
                               queue_ptr stream) {
     int nth = WARP_SIZE;
-    int max_block_size = GROUP_SIZE;
+    int max_block_size = get_work_group_size(stream->get_device());
     while (nth < ncols_x && nth < max_block_size) nth *= 2;
     if (nth>max_block_size) nth = max_block_size;
 
@@ -9339,7 +2597,7 @@ void ggml_backend_sycl_print_sycl_devices() {
     }
 }
 
-int get_sycl_env(const char *env_name, int default_val) {
+static inline int get_sycl_env(const char *env_name, int default_val) {
     char *user_device_string = getenv(env_name);
     int user_number = default_val;
 
@@ -9353,10 +2611,9 @@ int get_sycl_env(const char *env_name, int default_val) {
     return user_number;
 }
 
-int get_work_group_size(int user_device_id) {
+static inline int get_work_group_size(const sycl::device& device) {
     dpct::device_info prop;
-    dpct::get_device_info(prop,
-                          dpct::dev_mgr::instance().get_device(user_device_id));
+    dpct::get_device_info(prop, device);
     return prop.get_max_work_group_size();
 }
 
@@ -10042,76 +3299,6 @@ inline void ggml_sycl_op_rms_norm(ggml_backend_sycl_context & ctx, const ggml_te
     (void) src1_dd;
 }
 
-inline void ggml_sycl_op_mul_mat_q(
-    ggml_backend_sycl_context & ctx, const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
-    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
-    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
-    const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const queue_ptr &stream) try {
-
-    const int64_t ne00 = src0->ne[0];
-
-    const int64_t ne10 = src1->ne[0];
-    GGML_ASSERT(ne10 % QK8_1 == 0);
-
-    const int64_t ne0 = dst->ne[0];
-
-    const int64_t row_diff = row_high - row_low;
-
-    int device_id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(device_id = get_current_device_id()));
-
-    // the main device has a larger memory buffer to hold the results from all GPUs
-    // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into
-    const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff;
-
-    switch (src0->type) {
-        case GGML_TYPE_Q4_0:
-            ggml_mul_mat_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q4_1:
-            ggml_mul_mat_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q5_0:
-            ggml_mul_mat_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q5_1:
-            ggml_mul_mat_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q8_0:
-            ggml_mul_mat_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q2_K:
-            ggml_mul_mat_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q3_K:
-            ggml_mul_mat_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q4_K:
-            ggml_mul_mat_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q5_K:
-            ggml_mul_mat_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        case GGML_TYPE_Q6_K:
-            ggml_mul_mat_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
-            break;
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-
-    (void) src1;
-    (void) dst;
-    (void) src1_ddf_i;
-}
-catch (sycl::exception const &exc) {
-  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
-            << ", line:" << __LINE__ << std::endl;
-  std::exit(1);
-}
-
 static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_SYCL_MAX_DEVICES> & tensor_split) {
     int64_t min_compute_capability = INT_MAX;
     int64_t max_compute_capability = INT_MIN;
@@ -10160,179 +3347,6 @@ static int64_t get_row_rounding(ggml_type type, const std::array<float, GGML_SYC
 
 }
 
-inline void ggml_sycl_op_mul_mat_vec_q(
-    ggml_backend_sycl_context & ctx,
-    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
-    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
-    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
-    const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const queue_ptr &stream) {
-
-    const int64_t ne10 = src1->ne[0];
-    GGML_ASSERT(ne10 % QK8_1 == 0);
-
-    const int64_t ne00 = src0->ne[0];
-    const int64_t row_diff = row_high - row_low;
-
-    int id;
-    SYCL_CHECK(
-        CHECK_TRY_ERROR(id = get_current_device_id()));
-
-    // the main device has a larger memory buffer to hold the results from all GPUs
-    // nrows_dst == nrows of the matrix that the kernel writes into
-    const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff;
-
-    switch (src0->type) {
-        case GGML_TYPE_Q4_0:
-            mul_mat_vec_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q4_1:
-            mul_mat_vec_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_0:
-            mul_mat_vec_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_1:
-            mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q8_0:
-            mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q2_K:
-            mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q3_K:
-            mul_mat_vec_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q4_K:
-            mul_mat_vec_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_K:
-            mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q6_K:
-            mul_mat_vec_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ1_S:
-            mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ1_M:
-            mul_mat_vec_iq1_m_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ2_XXS:
-            mul_mat_vec_iq2_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ2_XS:
-            mul_mat_vec_iq2_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ2_S:
-            mul_mat_vec_iq2_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ3_XXS:
-            mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ3_S:
-            mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ4_NL:
-            mul_mat_vec_iq4_nl_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_IQ4_XS:
-            mul_mat_vec_iq4_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        default:
-            GGML_ASSERT(false);
-            break;
-    }
-
-    (void) src1;
-    (void) dst;
-    (void) src1_ddf_i;
-    (void) src1_ncols;
-    (void) src1_padded_row_size;
-}
-
-
-inline void ggml_sycl_op_dequantize_mul_mat_vec(
-    ggml_backend_sycl_context & ctx,
-    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
-    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
-    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
-    const int64_t src1_ncols, const int64_t src1_padded_row_size,
-    const queue_ptr &stream) {
-
-    const int64_t ne00 = src0->ne[0];
-    const int64_t row_diff = row_high - row_low;
-
-    GGML_ASSERT(src1->type == GGML_TYPE_F32);
-
-    // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics
-#ifdef GGML_SYCL_F16
-    ggml_sycl_pool_alloc<sycl::half> src1_dfloat_a(ctx.pool());
-    sycl::half *src1_dfloat = nullptr; // dfloat == half
-
-    bool src1_convert_f16 =
-        src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 ||
-        src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 ||
-        src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16;
-
-    if (src1_convert_f16) {
-        src1_dfloat = src1_dfloat_a.alloc(ne00);
-        const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type);
-        GGML_ASSERT(to_fp16_sycl != nullptr);
-        to_fp16_sycl(src1_ddf_i, src1_dfloat, ne00, stream);
-    }
-#else
-    const dfloat * src1_dfloat = (const dfloat *) src1_ddf_i; // dfloat == float, no conversion
-#endif // GGML_SYCL_F16
-
-    switch (src0->type) {
-        case GGML_TYPE_Q4_0:
-            dequantize_mul_mat_vec_q4_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q4_1:
-            dequantize_mul_mat_vec_q4_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_0:
-            dequantize_mul_mat_vec_q5_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_1:
-            dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q8_0:
-            dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q2_K:
-            dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q3_K:
-            dequantize_mul_mat_vec_q3_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q4_K:
-            dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q5_K:
-            dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_Q6_K:
-            dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
-            break;
-        case GGML_TYPE_F16:
-            convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
-            break;
-        default:
-            printf("ggml_sycl_op_dequantize_mul_mat_vec unsupported GGML_TYPE %d\n", src0->type);
-            GGML_ASSERT(false);
-            break;
-    }
-
-    (void) src1;
-    (void) dst;
-    (void) src1_ddq_i;
-    (void) src1_ncols;
-    (void) src1_padded_row_size;
-}
-
 inline void ggml_sycl_op_mul_mat_sycl(
     ggml_backend_sycl_context & ctx,
     const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
diff --git a/ggml-sycl/backend.hpp b/ggml-sycl/backend.hpp
index 88bae5967..2d37e271f 100644
--- a/ggml-sycl/backend.hpp
+++ b/ggml-sycl/backend.hpp
@@ -14,5 +14,10 @@
 #define GGML_SYCL_BACKEND_HPP
 
 #include "common.hpp"
+#include "convert.hpp"
+#include "dequantize.hpp"
+#include "dmmv.hpp"
+#include "mmq.hpp"
+#include "mmvq.hpp"
 
 #endif // GGML_SYCL_BACKEND_HPP
diff --git a/ggml-sycl/convert.cpp b/ggml-sycl/convert.cpp
new file mode 100644
index 000000000..ce9de2b42
--- /dev/null
+++ b/ggml-sycl/convert.cpp
@@ -0,0 +1,544 @@
+#include "convert.hpp"
+#include "dequantize.hpp"
+#include "presets.hpp"
+
+template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
+static void dequantize_block(const void * __restrict__ vx, dst_t * __restrict__ y, const int k,
+                             const sycl::nd_item<3> &item_ct1) {
+    const int i = 2 * (item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                       item_ct1.get_local_id(2));
+
+    if (i >= k) {
+        return;
+    }
+
+    const int ib = i/qk; // block index
+    const int iqs = (i%qk)/qr; // quant index
+    const int iybs = i - i%qk; // y block start index
+    const int y_offset = qr == 1 ? 1 : qk/2;
+
+    // dequantize
+    dfloat2 v;
+    dequantize_kernel(vx, ib, iqs, v);
+
+    y[iybs + iqs + 0] = v.x();
+    y[iybs + iqs + y_offset] = v.y();
+}
+
+template <int qk, int qr, dequantize_kernel_t dequantize_kernel, typename dst_t>
+static void dequantize_block_sycl(const void *__restrict__ vx,
+                                  dst_t *__restrict__ y, const int k,
+                                  dpct::queue_ptr stream) {
+    const int num_blocks = (k + 2*SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / (2*SYCL_DEQUANTIZE_BLOCK_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+        stream->parallel_for(
+            sycl::nd_range<3>(
+                sycl::range<3>(1, 1, num_blocks) *
+                    sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE),
+                sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)),
+            [=](sycl::nd_item<3> item_ct1) {
+                dequantize_block<qk, qr, dequantize_kernel>(vx, y, k, item_ct1);
+            });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_q2_K_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+#if QK_K == 256
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 64),
+                                               sycl::range<3>(1, 1, 64)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q2_K(vx, y, item_ct1);
+                             });
+    }
+#else
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q2_K(vx, y, item_ct1);
+                             });
+    }
+
+#endif
+}
+
+template <typename dst_t>
+static void dequantize_row_q3_K_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+#if QK_K == 256
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 64),
+                                               sycl::range<3>(1, 1, 64)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q3_K(vx, y, item_ct1);
+                             });
+    }
+#else
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q3_K(vx, y, item_ct1);
+                             });
+    }
+#endif
+}
+
+template <typename dst_t>
+static void dequantize_row_q4_0_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb32 = k / 32;
+    const int nb = (k + 255) / 256;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q4_0(vx, y, nb32, item_ct1);
+                             });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_q4_1_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb32 = k / 32;
+    const int nb = (k + 255) / 256;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q4_1(vx, y, nb32, item_ct1);
+                             });
+    }
+}
+
+
+template <typename dst_t>
+static void dequantize_row_q4_K_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q4_K(vx, y, item_ct1);
+                             });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_q5_K_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+#if QK_K == 256
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 64),
+                                               sycl::range<3>(1, 1, 64)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q5_K(vx, y, item_ct1);
+                             });
+    }
+#else
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q5_K(vx, y, item_ct1);
+                             });
+    }
+
+#endif
+}
+
+template <typename dst_t>
+static void dequantize_row_q6_K_sycl(const void *vx, dst_t *y, const int k,
+                                     dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+#if QK_K == 256
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 64),
+                                               sycl::range<3>(1, 1, 64)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q6_K(vx, y, item_ct1);
+                             });
+    }
+#else
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_q6_K(vx, y, item_ct1);
+                             });
+    }
+
+#endif
+}
+
+template <typename dst_t>
+static void dequantize_row_iq1_s_sycl(const void *vx, dst_t *y, const int k,
+                                        dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq1_s(
+                                     vx, y, item_ct1, iq1s_grid_gpu
+                                     );
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq1_m_sycl(const void *vx, dst_t *y, const int k,
+                                        dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq1_m(
+                                     vx, y, item_ct1, iq1s_grid_gpu
+                                     );
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq2_xxs_sycl(const void *vx, dst_t *y, const int k,
+                                        dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq2_xxs(
+                                     vx, y, item_ct1, iq2xxs_grid,
+                                     ksigns_iq2xs, kmask_iq2xs);
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq2_xs_sycl(const void *vx, dst_t *y, const int k,
+                                       dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq2_xs(
+                                     vx, y, item_ct1, iq2xs_grid,
+                                     ksigns_iq2xs, kmask_iq2xs);
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq2_s_sycl(const void *vx, dst_t *y, const int k,
+                                      dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq2_s(vx, y, item_ct1);
+                             });
+        });
+    }
+}
+
+
+template <typename dst_t>
+static void dequantize_row_iq3_xxs_sycl(const void *vx, dst_t *y, const int k,
+                                        dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq3_xxs(
+                                     vx, y, item_ct1, iq3xxs_grid,
+                                     ksigns_iq2xs, kmask_iq2xs);
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq3_s_sycl(const void *vx, dst_t *y, const int k,
+                                        dpct::queue_ptr stream) {
+    const int nb = k / QK_K;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                                   sycl::range<3>(1, 1, 32),
+                                               sycl::range<3>(1, 1, 32)),
+                             [=](sycl::nd_item<3> item_ct1) {
+                                 dequantize_block_iq3_s(
+                                     vx, y, item_ct1, kmask_iq2xs, iq3s_grid);
+                             });
+        });
+    }
+}
+
+template <typename dst_t>
+static void dequantize_row_iq4_xs_sycl(const void *vx, dst_t *y, const int k,
+                                       dpct::queue_ptr stream) {
+    const int nb = (k + QK_K - 1) / QK_K;
+#if QK_K == 64
+    dequantize_row_iq4_nl_sycl(vx, y, k, stream);
+#else
+      {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                  cgh.parallel_for(
+                      sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                            sycl::range<3>(1, 1, 32),
+                                        sycl::range<3>(1, 1, 32)),
+                      [=](sycl::nd_item<3> item_ct1) {
+                            dequantize_block_iq4_xs(vx, y, item_ct1);
+                      });
+            });
+      }
+#endif
+}
+
+template <typename dst_t>
+static void dequantize_row_iq4_nl_sycl(const void *vx, dst_t *y, const int k,
+                                       dpct::queue_ptr stream) {
+    const int nb = (k + QK_K - 1) / QK_K;
+      {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                  cgh.parallel_for(
+                      sycl::nd_range<3>(sycl::range<3>(1, 1, nb) *
+                                            sycl::range<3>(1, 1, 32),
+                                        sycl::range<3>(1, 1, 32)),
+                      [=](sycl::nd_item<3> item_ct1) {
+                            dequantize_block_iq4_nl(vx, y, item_ct1);
+                      });
+            });
+      }
+}
+
+template <typename src_t, typename dst_t>
+static void convert_unary(const void * __restrict__ vx, dst_t * __restrict__ y, const int k,
+                          const sycl::nd_item<3> &item_ct1) {
+    const int i = item_ct1.get_local_range(2) * item_ct1.get_group(2) +
+                  item_ct1.get_local_id(2);
+
+    if (i >= k) {
+        return;
+    }
+
+    const src_t * x = (src_t *) vx;
+
+    y[i] = x[i];
+}
+
+template <typename src_t, typename dst_t>
+static void convert_unary_sycl(const void *__restrict__ vx,
+                               dst_t *__restrict__ y, const int k,
+                               dpct::queue_ptr stream) {
+    const int num_blocks = (k + SYCL_DEQUANTIZE_BLOCK_SIZE - 1) / SYCL_DEQUANTIZE_BLOCK_SIZE;
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(
+                sycl::range<3>(1, 1, num_blocks) *
+                    sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE),
+                sycl::range<3>(1, 1, SYCL_DEQUANTIZE_BLOCK_SIZE)),
+            [=](sycl::nd_item<3> item_ct1) {
+                convert_unary<src_t>(vx, y, k, item_ct1);
+            });
+    }
+}
+
+to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_Q4_0:
+            return dequantize_block_sycl<QK4_0, QR4_0, dequantize_q4_0>;
+        case GGML_TYPE_Q4_1:
+            return dequantize_block_sycl<QK4_1, QR4_1, dequantize_q4_1>;
+        case GGML_TYPE_Q5_0:
+            return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>;
+        case GGML_TYPE_Q5_1:
+            return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
+        case GGML_TYPE_Q8_0:
+            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+        case GGML_TYPE_Q2_K:
+            return dequantize_row_q2_K_sycl;
+        case GGML_TYPE_Q3_K:
+            return dequantize_row_q3_K_sycl;
+        case GGML_TYPE_Q4_K:
+            return dequantize_row_q4_K_sycl;
+        case GGML_TYPE_Q5_K:
+            return dequantize_row_q5_K_sycl;
+        case GGML_TYPE_Q6_K:
+            return dequantize_row_q6_K_sycl;
+        case GGML_TYPE_IQ1_S:
+            return dequantize_row_iq1_s_sycl;
+        case GGML_TYPE_IQ1_M:
+            return dequantize_row_iq1_m_sycl;
+        case GGML_TYPE_IQ2_XXS:
+            return dequantize_row_iq2_xxs_sycl;
+        case GGML_TYPE_IQ2_XS:
+            return dequantize_row_iq2_xs_sycl;
+        case GGML_TYPE_IQ2_S:
+            return dequantize_row_iq2_s_sycl;
+        case GGML_TYPE_IQ3_XXS:
+            return dequantize_row_iq3_xxs_sycl;
+        case GGML_TYPE_IQ3_S:
+            return dequantize_row_iq3_s_sycl;
+        case GGML_TYPE_IQ4_XS:
+            return dequantize_row_iq4_xs_sycl;
+        case GGML_TYPE_IQ4_NL:
+            return dequantize_row_iq4_nl_sycl;
+        case GGML_TYPE_F32:
+            return convert_unary_sycl<float>;
+        default:
+            return nullptr;
+    }
+}
+
+to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type) {
+    switch (type) {
+        case GGML_TYPE_Q4_0:
+            return dequantize_row_q4_0_sycl;
+        case GGML_TYPE_Q4_1:
+            return dequantize_row_q4_1_sycl;
+        case GGML_TYPE_Q5_0:
+            return dequantize_block_sycl<QK5_0, QR5_0, dequantize_q5_0>;
+        case GGML_TYPE_Q5_1:
+            return dequantize_block_sycl<QK5_1, QR5_1, dequantize_q5_1>;
+        case GGML_TYPE_Q8_0:
+            return dequantize_block_sycl<QK8_0, QR8_0, dequantize_q8_0>;
+        case GGML_TYPE_Q2_K:
+            return dequantize_row_q2_K_sycl;
+        case GGML_TYPE_Q3_K:
+            return dequantize_row_q3_K_sycl;
+        case GGML_TYPE_Q4_K:
+            return dequantize_row_q4_K_sycl;
+        case GGML_TYPE_Q5_K:
+            return dequantize_row_q5_K_sycl;
+        case GGML_TYPE_Q6_K:
+            return dequantize_row_q6_K_sycl;
+        case GGML_TYPE_IQ1_S:
+            return dequantize_row_iq1_s_sycl;
+        case GGML_TYPE_IQ1_M:
+            return dequantize_row_iq1_m_sycl;
+        case GGML_TYPE_IQ2_XXS:
+            return dequantize_row_iq2_xxs_sycl;
+        case GGML_TYPE_IQ2_XS:
+            return dequantize_row_iq2_xs_sycl;
+        case GGML_TYPE_IQ2_S:
+            return dequantize_row_iq2_s_sycl;
+        case GGML_TYPE_IQ3_XXS:
+            return dequantize_row_iq3_xxs_sycl;
+        case GGML_TYPE_IQ3_S:
+            return dequantize_row_iq3_s_sycl;
+        case GGML_TYPE_IQ4_XS:
+            return dequantize_row_iq4_xs_sycl;
+        case GGML_TYPE_IQ4_NL:
+            return dequantize_row_iq4_nl_sycl;
+        case GGML_TYPE_F16:
+            return convert_unary_sycl<sycl::half>;
+        default:
+            return nullptr;
+    }
+}
diff --git a/ggml-sycl/convert.hpp b/ggml-sycl/convert.hpp
new file mode 100644
index 000000000..b1f10d635
--- /dev/null
+++ b/ggml-sycl/convert.hpp
@@ -0,0 +1,27 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_CONVERT_HPP
+#define GGML_SYCL_CONVERT_HPP
+
+#include "common.hpp"
+
+template <typename T>
+using to_t_sycl_t = void (*)(const void *__restrict__ x, T *__restrict__ y,
+                             int k, dpct::queue_ptr stream);
+typedef to_t_sycl_t<float> to_fp32_sycl_t;
+typedef to_t_sycl_t<sycl::half> to_fp16_sycl_t;
+
+to_fp16_sycl_t ggml_get_to_fp16_sycl(ggml_type type);
+to_fp32_sycl_t ggml_get_to_fp32_sycl(ggml_type type);
+
+#endif // GGML_SYCL_CONVERT_HPP
diff --git a/ggml-sycl/dequantize.hpp b/ggml-sycl/dequantize.hpp
new file mode 100644
index 000000000..b6080d83a
--- /dev/null
+++ b/ggml-sycl/dequantize.hpp
@@ -0,0 +1,690 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_DEQUANTIZE_HPP
+#define GGML_SYCL_DEQUANTIZE_HPP
+
+#include "common.hpp"
+
+typedef void (*dequantize_kernel_t)(const void * vx, const int ib, const int iqs, dfloat2 & v);
+
+static __dpct_inline__ void dequantize_q4_0(const void *vx, const int ib,
+                                            const int iqs, dfloat2 &v) {
+    const block_q4_0 * x = (const block_q4_0 *) vx;
+
+    const dfloat d = x[ib].d;
+
+    const int vui = x[ib].qs[iqs];
+
+    v.x() = vui & 0xF;
+    v.y() = vui >> 4;
+
+#ifdef GGML_SYCL_F16
+    // v = v - {8.0f, 8.0f};
+    // v = v * {d, d};
+    v.s0() = (v.s0() - 8.0f) * d;
+    v.s1() = (v.s1() - 8.0f) * d;
+
+#else
+    v.x() = (v.x() - 8.0f) * d;
+    v.y() = (v.y() - 8.0f) * d;
+#endif // GGML_SYCL_F16
+}
+
+static __dpct_inline__ void dequantize_q4_1(const void *vx, const int ib,
+                                            const int iqs, dfloat2 &v) {
+    const block_q4_1 * x = (const block_q4_1 *) vx;
+
+    const dfloat d = x[ib].dm[0];
+    const dfloat m = x[ib].dm[1];
+
+    const int vui = x[ib].qs[iqs];
+
+    v.x() = vui & 0xF;
+    v.y() = vui >> 4;
+
+#ifdef GGML_SYCL_F16
+    // v = v * {d, d};
+    // v = v + {m, m};
+    v.s0() = (v.s0() * d) + m;
+    v.s1() = (v.s1() * d) + m;
+
+#else
+    v.x() = (v.x() * d) + m;
+    v.y() = (v.y() * d) + m;
+#endif // GGML_SYCL_F16
+}
+
+static __dpct_inline__ void dequantize_q5_0(const void *vx, const int ib,
+                                            const int iqs, dfloat2 &v) {
+    const block_q5_0 * x = (const block_q5_0 *) vx;
+
+    const dfloat d = x[ib].d;
+
+    uint32_t qh;
+    memcpy(&qh, x[ib].qh, sizeof(qh));
+
+    const int xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
+    const int xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
+
+    v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0);
+    v.y() = ((x[ib].qs[iqs] >> 4) | xh_1);
+
+#ifdef GGML_SYCL_F16
+    // v = v - {16.0f, 16.0f};
+    // v = v * {d, d};
+    v.s0() = (v.s0() - 16.0f) * d;
+    v.s1() = (v.s1() - 16.0f) * d;
+
+#else
+    v.x() = (v.x() - 16.0f) * d;
+    v.y() = (v.y() - 16.0f) * d;
+#endif // GGML_SYCL_F16
+}
+
+static __dpct_inline__ void dequantize_q5_1(const void *vx, const int ib,
+                                            const int iqs, dfloat2 &v) {
+    const block_q5_1 * x = (const block_q5_1 *) vx;
+
+    const dfloat d = x[ib].dm[0];
+    const dfloat m = x[ib].dm[1];
+
+    uint32_t qh;
+    memcpy(&qh, x[ib].qh, sizeof(qh));
+
+    const int xh_0 = ((qh >> (iqs +  0)) << 4) & 0x10;
+    const int xh_1 = ((qh >> (iqs + 12))     ) & 0x10;
+
+    v.x() = ((x[ib].qs[iqs] & 0xf) | xh_0);
+    v.y() = ((x[ib].qs[iqs] >> 4) | xh_1);
+
+#ifdef GGML_SYCL_F16
+    // v = v * {d, d};
+    // v = v + {m, m};
+    v.s0() = (v.s0() * d) + m;
+    v.s1() = (v.s1() * d) + m;
+#else
+    v.x() = (v.x() * d) + m;
+    v.y() = (v.y() * d) + m;
+#endif // GGML_SYCL_F16
+}
+
+static __dpct_inline__ void dequantize_q8_0(const void *vx, const int ib,
+                                            const int iqs, dfloat2 &v) {
+    const block_q8_0 * x = (const block_q8_0 *) vx;
+
+    const dfloat d = x[ib].d;
+
+    v.x() = x[ib].qs[iqs + 0];
+    v.y() = x[ib].qs[iqs + 1];
+
+#ifdef GGML_SYCL_F16
+    // v = v * {d, d};
+    v.s0() *= d;
+    v.s1() *= d;
+#else
+    v.x() *= d;
+    v.y() *= d;
+#endif // GGML_SYCL_F16
+}
+
+template<typename dst_t>
+static void dequantize_block_q4_0(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+
+    // assume 32 threads
+    const int tid = item_ct1.get_local_id(2);
+    const int il  = tid/8;
+    const int ir  = tid%8;
+    const int ib = 8*i + ir;
+    if (ib >= nb32) {
+        return;
+    }
+
+    dst_t * y = yy + 256*i + 32*ir + 4*il;
+
+    const block_q4_0 * x = (const block_q4_0 *)vx + ib;
+    const float d = sycl::vec<sycl::half, 1>(x->d)
+                        .convert<float, sycl::rounding_mode::automatic>()[0];
+    const float dm = -8*d;
+
+    const uint8_t * q = x->qs + 4*il;
+
+    for (int l = 0; l < 4; ++l) {
+        y[l+ 0] = d * (q[l] & 0xF) + dm;
+        y[l+16] = d * (q[l] >>  4) + dm;
+    }
+}
+
+template<typename dst_t>
+static void dequantize_block_q4_1(const void * __restrict__ vx, dst_t * __restrict__ yy, int nb32,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+
+    // assume 32 threads
+    const int tid = item_ct1.get_local_id(2);
+    const int il  = tid/8;
+    const int ir  = tid%8;
+    const int ib = 8*i + ir;
+    if (ib >= nb32) {
+        return;
+    }
+
+    dst_t * y = yy + 256*i + 32*ir + 4*il;
+
+    const block_q4_1 * x = (const block_q4_1 *)vx + ib;
+    const sycl::float2 d =
+        x->dm.convert<float, sycl::rounding_mode::automatic>();
+
+    const uint8_t * q = x->qs + 4*il;
+
+    for (int l = 0; l < 4; ++l) {
+        y[l + 0] = d.x() * (q[l] & 0xF) + d.y();
+        y[l + 16] = d.x() * (q[l] >> 4) + d.y();
+    }
+}
+
+
+//================================== k-quants
+
+template<typename dst_t>
+static void dequantize_block_q2_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+    const block_q2_K * x = (const block_q2_K *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int n   = tid/32;
+    const int l   = tid - 32*n;
+    const int is  = 8*n + l/16;
+
+    const uint8_t q = x[i].qs[32*n + l];
+    dst_t * y = yy + i*QK_K + 128*n;
+
+    float dall = x[i].dm[0];
+    float dmin = x[i].dm[1];
+    y[l+ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4);
+    y[l+32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 2) & 3) - dmin * (x[i].scales[is+2] >> 4);
+    y[l+64] = dall * (x[i].scales[is+4] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+4] >> 4);
+    y[l+96] = dall * (x[i].scales[is+6] & 0xF) * ((q >> 6) & 3) - dmin * (x[i].scales[is+6] >> 4);
+#else
+    const int is = tid/16;  // 0 or 1
+    const int il = tid%16;  // 0...15
+    const uint8_t q = x[i].qs[il] >> (2*is);
+    dst_t * y = yy + i*QK_K + 16*is + il;
+
+    float dall = x[i].dm[0];
+    float dmin = x[i].dm[1];
+    y[ 0] = dall * (x[i].scales[is+0] & 0xF) * ((q >> 0) & 3) - dmin * (x[i].scales[is+0] >> 4);
+    y[32] = dall * (x[i].scales[is+2] & 0xF) * ((q >> 4) & 3) - dmin * (x[i].scales[is+2] >> 4);
+#endif
+
+}
+
+template<typename dst_t>
+static void dequantize_block_q3_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                  const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+    const block_q3_K * x = (const block_q3_K *) vx;
+
+#if QK_K == 256
+    const int r = item_ct1.get_local_id(2) / 4;
+    const int tid = r/2;
+    const int is0 = r%2;
+    const int l0 = 16 * is0 + 4 * (item_ct1.get_local_id(2) % 4);
+    const int n = tid / 4;
+    const int j = tid - 4*n;
+
+    uint8_t m = 1 << (4*n + j);
+    int is = 8*n + 2*j + is0;
+    int shift = 2*j;
+
+    int8_t us = is <  4 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+8] >> 0) & 3) << 4) :
+                is <  8 ? (x[i].scales[is-0] & 0xF) | (((x[i].scales[is+4] >> 2) & 3) << 4) :
+                is < 12 ? (x[i].scales[is-8] >>  4) | (((x[i].scales[is+0] >> 4) & 3) << 4) :
+                          (x[i].scales[is-8] >>  4) | (((x[i].scales[is-4] >> 6) & 3) << 4);
+    float d_all = x[i].d;
+    float dl = d_all * (us - 32);
+
+    dst_t * y = yy + i*QK_K + 128*n + 32*j;
+    const uint8_t * q = x[i].qs + 32*n;
+    const uint8_t * hm = x[i].hmask;
+
+    for (int l = l0; l < l0+4; ++l) y[l] = dl * ((int8_t)((q[l] >> shift) & 3) - ((hm[l] & m) ? 0 : 4));
+#else
+    const int tid = item_ct1.get_local_id(2);
+    const int is  = tid/16;  // 0 or 1
+    const int il  = tid%16;  // 0...15
+    const int im  = il/8;    // 0...1
+    const int in  = il%8;    // 0...7
+
+    dst_t * y = yy + i*QK_K + 16*is + il;
+
+    const uint8_t q = x[i].qs[il] >> (2*is);
+    const uint8_t h = x[i].hmask[in] >> (2*is + im);
+    const float   d = (float)x[i].d;
+
+    if (is == 0) {
+        y[ 0] = d * ((x[i].scales[0] & 0xF) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
+        y[32] = d * ((x[i].scales[1] & 0xF) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
+    } else {
+        y[ 0] = d * ((x[i].scales[0] >>  4) - 8) * ((int8_t)((q >> 0) & 3) - ((h >> 0) & 1 ? 0 : 4));
+        y[32] = d * ((x[i].scales[1] >>  4) - 8) * ((int8_t)((q >> 4) & 3) - ((h >> 4) & 1 ? 0 : 4));
+    }
+#endif
+
+}
+
+#if QK_K == 256
+static inline void get_scale_min_k4(int j, const uint8_t * q, uint8_t & d, uint8_t & m) {
+    if (j < 4) {
+        d = q[j] & 63; m = q[j + 4] & 63;
+    } else {
+        d = (q[j+4] & 0xF) | ((q[j-4] >> 6) << 4);
+        m = (q[j+4] >>  4) | ((q[j-0] >> 6) << 4);
+    }
+}
+#endif
+
+template<typename dst_t>
+static void dequantize_block_q4_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                  const sycl::nd_item<3> &item_ct1) {
+    const block_q4_K * x = (const block_q4_K *) vx;
+
+    const int i = item_ct1.get_group(2);
+
+#if QK_K == 256
+    // assume 32 threads
+    const int tid = item_ct1.get_local_id(2);
+    const int il  = tid/8;
+    const int ir  = tid%8;
+    const int is  = 2*il;
+    const int n   = 4;
+
+    dst_t * y = yy + i*QK_K + 64*il + n*ir;
+
+    const float dall = x[i].dm[0];
+    const float dmin = x[i].dm[1];
+
+    const uint8_t * q = x[i].qs + 32*il + n*ir;
+
+    uint8_t sc, m;
+    get_scale_min_k4(is + 0, x[i].scales, sc, m);
+    const float d1 = dall * sc; const float m1 = dmin * m;
+    get_scale_min_k4(is + 1, x[i].scales, sc, m);
+    const float d2 = dall * sc; const float m2 = dmin * m;
+    for (int l = 0; l < n; ++l) {
+        y[l + 0] = d1 * (q[l] & 0xF) - m1;
+        y[l +32] = d2 * (q[l] >>  4) - m2;
+    }
+#else
+    const int tid = item_ct1.get_local_id(2);
+    const uint8_t * q = x[i].qs;
+    dst_t * y = yy + i*QK_K;
+    const float d = (float)x[i].dm[0];
+    const float m = (float)x[i].dm[1];
+    y[tid+ 0] = d * (x[i].scales[0] & 0xF) * (q[tid] & 0xF) - m * (x[i].scales[0] >> 4);
+    y[tid+32] = d * (x[i].scales[1] & 0xF) * (q[tid] >>  4) - m * (x[i].scales[1] >> 4);
+#endif
+}
+
+template<typename dst_t>
+static void dequantize_block_q5_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                  const sycl::nd_item<3> &item_ct1) {
+    const block_q5_K * x = (const block_q5_K *) vx;
+
+    const int i = item_ct1.get_group(2);
+
+#if QK_K == 256
+    // assume 64 threads - this is very slightly better than the one below
+    const int tid = item_ct1.get_local_id(2);
+    const int il  = tid/16;   // il is in 0...3
+    const int ir  = tid%16;   // ir is in 0...15
+    const int is  = 2*il;     // is is in 0...6
+
+    dst_t * y = yy + i*QK_K + 64*il + 2*ir;
+
+    const float dall = x[i].dm[0];
+    const float dmin = x[i].dm[1];
+
+    const uint8_t * ql = x[i].qs + 32*il + 2*ir;
+    const uint8_t * qh = x[i].qh + 2*ir;
+
+    uint8_t sc, m;
+    get_scale_min_k4(is + 0, x[i].scales, sc, m);
+    const float d1 = dall * sc; const float m1 = dmin * m;
+    get_scale_min_k4(is + 1, x[i].scales, sc, m);
+    const float d2 = dall * sc; const float m2 = dmin * m;
+
+    uint8_t   hm  = 1 << (2*il);
+    y[ 0] = d1 * ((ql[ 0] & 0xF) + (qh[ 0] & hm ? 16 : 0)) - m1;
+    y[ 1] = d1 * ((ql[ 1] & 0xF) + (qh[ 1] & hm ? 16 : 0)) - m1;
+    hm <<= 1;
+    y[32] = d2 * ((ql[ 0] >>  4) + (qh[ 0] & hm ? 16 : 0)) - m2;
+    y[33] = d2 * ((ql[ 1] >>  4) + (qh[ 1] & hm ? 16 : 0)) - m2;
+#else
+    const int tid = item_ct1.get_local_id(2);
+    const uint8_t q = x[i].qs[tid];
+    const int im = tid/8;  // 0...3
+    const int in = tid%8;  // 0...7
+    const int is = tid/16; // 0 or 1
+    const uint8_t h = x[i].qh[in] >> im;
+    const float d = x[i].d;
+    dst_t * y = yy + i*QK_K + tid;
+    y[ 0] = d * x[i].scales[is+0] * ((q & 0xF) - ((h >> 0) & 1 ? 0 : 16));
+    y[32] = d * x[i].scales[is+2] * ((q >>  4) - ((h >> 4) & 1 ? 0 : 16));
+#endif
+}
+
+template<typename dst_t>
+static void dequantize_block_q6_K(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                  const sycl::nd_item<3> &item_ct1) {
+    const block_q6_K * x = (const block_q6_K *) vx;
+
+    const int i = item_ct1.get_group(2);
+#if QK_K == 256
+
+    // assume 64 threads - this is very slightly better than the one below
+    const int tid = item_ct1.get_local_id(2);
+    const int ip  = tid/32;   // ip is 0 or 1
+    const int il  = tid - 32*ip; // 0...32
+    const int is  = 8*ip + il/16;
+
+    dst_t * y = yy + i*QK_K + 128*ip + il;
+
+    const float d = x[i].d;
+
+    const uint8_t * ql = x[i].ql + 64*ip + il;
+    const uint8_t   qh = x[i].qh[32*ip + il];
+    const int8_t  * sc = x[i].scales + is;
+
+    y[ 0] = d * sc[0] * ((int8_t)((ql[ 0] & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
+    y[32] = d * sc[2] * ((int8_t)((ql[32] & 0xF) | (((qh >> 2) & 3) << 4)) - 32);
+    y[64] = d * sc[4] * ((int8_t)((ql[ 0]  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
+    y[96] = d * sc[6] * ((int8_t)((ql[32]  >> 4) | (((qh >> 6) & 3) << 4)) - 32);
+#else
+
+    // assume 32 threads
+    const int tid = item_ct1.get_local_id(2);
+    const int ip  = tid/16;         // 0 or 1
+    const int il  = tid - 16*ip;    // 0...15
+
+    dst_t * y = yy + i*QK_K + 16*ip + il;
+
+    const float d = x[i].d;
+
+    const uint8_t   ql = x[i].ql[16*ip + il];
+    const uint8_t   qh = x[i].qh[il] >> (2*ip);
+    const int8_t  * sc = x[i].scales;
+
+    y[ 0] = d * sc[ip+0] * ((int8_t)((ql & 0xF) | (((qh >> 0) & 3) << 4)) - 32);
+    y[32] = d * sc[ip+2] * ((int8_t)((ql  >> 4) | (((qh >> 4) & 3) << 4)) - 32);
+#endif
+}
+
+template<typename dst_t>
+static void dequantize_block_iq2_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                     const sycl::nd_item<3> &item_ct1,
+                                     const uint64_t *iq2xxs_grid_ptr,
+                                     const uint8_t *ksigns_iq2xs_ptr,
+                                     const uint8_t *kmask_iq2xs_ptr) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq2_xxs * x = (const block_iq2_xxs  *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint16_t * q2 = x[i].qs + 4*ib;
+    const uint8_t  * aux8 = (const uint8_t *)q2;
+    const uint8_t  * grid = (const uint8_t *)(iq2xxs_grid_ptr + aux8[il]);
+    const uint32_t aux32 = q2[2] | (q2[3] << 16);
+    const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.25f;
+    const uint8_t signs = ksigns_iq2xs_ptr[(aux32 >> 7*il) & 127];
+    for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs_ptr[j] ? -1.f : 1.f);
+#else
+    assert(false);
+#endif
+
+}
+
+template<typename dst_t>
+static void dequantize_block_iq2_xs(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                    const sycl::nd_item<3> &item_ct1,
+                                    const uint64_t *iq2xs_grid,
+                                    const uint8_t *ksigns_iq2xs,
+                                    const uint8_t *kmask_iq2xs) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq2_xs * x = (const block_iq2_xs *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint16_t * q2 = x[i].qs + 4*ib;
+    const uint8_t  * grid = (const uint8_t *)(iq2xs_grid + (q2[il] & 511));
+    const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
+    const uint8_t signs = ksigns_iq2xs[q2[il] >> 9];
+    for (int j = 0; j < 8; ++j) y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
+#else
+    assert(false);
+#endif
+
+}
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq2_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                       const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq2_s * x = (const block_iq2_s *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint8_t * grid = (const uint8_t *)(iq2s_grid + (x[i].qs[4*ib+il] | ((x[i].qh[ib] << (8-2*il)) & 0x300)));
+    const float d = (float)x[i].d * (0.5f + ((x[i].scales[ib] >> 4*(il/2)) & 0xf)) * 0.25f;
+    const uint8_t signs = x[i].qs[QK_K/8+4*ib+il];
+#pragma unroll
+    for (int j = 0; j < 8; ++j)
+        y[j] = d * grid[j] * (signs & kmask_iq2xs[j] ? -1.f : 1.f);
+#else
+    assert(false);
+
+#endif
+
+}
+
+template<typename dst_t>
+static void dequantize_block_iq3_xxs(const void * __restrict__ vx, dst_t * __restrict__ yy,
+                                     const sycl::nd_item<3> &item_ct1,
+                                     const uint32_t *iq3xxs_grid,
+                                     const uint8_t *ksigns_iq2xs,
+                                     const uint8_t *kmask_iq2xs) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq3_xxs * x = (const block_iq3_xxs  *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint8_t  * q3 = x[i].qs + 8*ib;
+    const uint16_t * gas = (const uint16_t *)(x[i].qs + QK_K/4) + 2*ib;
+    const uint8_t  * grid1 = (const uint8_t *)(iq3xxs_grid + q3[2*il+0]);
+    const uint8_t  * grid2 = (const uint8_t *)(iq3xxs_grid + q3[2*il+1]);
+    const uint32_t aux32 = gas[0] | (gas[1] << 16);
+    const float d = (float)x[i].d * (0.5f + (aux32 >> 28)) * 0.5f;
+    const uint8_t signs = ksigns_iq2xs[(aux32 >> 7*il) & 127];
+    for (int j = 0; j < 4; ++j) {
+        y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
+        y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
+    }
+#else
+    assert(false);
+#endif
+
+}
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq3_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                       const sycl::nd_item<3> &item_ct1,
+                       const uint8_t *kmask_iq2xs, const uint32_t *iq3s_grid) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq3_s * x = (const block_iq3_s *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint8_t * qs = x[i].qs + 8*ib;
+    const uint8_t * grid1 = (const uint8_t *)(iq3s_grid + (qs[2*il+0] | ((x[i].qh[ib] << (8-2*il)) & 256)));
+    const uint8_t * grid2 = (const uint8_t *)(iq3s_grid + (qs[2*il+1] | ((x[i].qh[ib] << (7-2*il)) & 256)));
+    const float d = (float)x[i].d * (1 + 2*((x[i].scales[ib/2] >> 4*(ib%2)) & 0xf));
+    const uint8_t signs = x[i].signs[4*ib + il];
+#pragma unroll
+    for (int j = 0; j < 4; ++j) {
+        y[j+0] = d * grid1[j] * (signs & kmask_iq2xs[j+0] ? -1.f : 1.f);
+        y[j+4] = d * grid2[j] * (signs & kmask_iq2xs[j+4] ? -1.f : 1.f);
+    }
+#else
+    assert(false);
+#endif
+
+}
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq1_s(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                       const sycl::nd_item<3> &item_ct1,
+                       const uint32_t *iq1s_grid_gpu) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq1_s * x = (const block_iq1_s  *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const float delta = x[i].qh[ib] & 0x8000 ? -1 - IQ1S_DELTA : -1 + IQ1S_DELTA;
+    const float d = (float)x[i].d * (2*((x[i].qh[ib] >> 12) & 7) + 1);
+    uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
+    grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[ib] >> 3*il) & 7) << 8)];
+    grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
+    grid32[0] &= 0x0f0f0f0f;
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        y[j] = d * (q[j] + delta);
+    }
+#else
+    assert(false);
+#endif
+
+}
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq1_m(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                       const sycl::nd_item<3> &item_ct1,
+                       const uint32_t *iq1s_grid_gpu) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq1_m * x = (const block_iq1_m  *) vx;
+
+    const int tid = item_ct1.get_local_id(2);
+#if QK_K == 256
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 8*il;
+    const uint16_t * sc = (const uint16_t *)x[i].scales;
+    iq1m_scale_t scale;
+    scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+    const int ib16 = 2*ib + il/2; // sc[ib16/4] >> 3*(ib16%4) -> sc[ib/2] >> 3*((2*ib+il/2)%4);
+    const float d = (float)scale.f16 * (2*((sc[ib16/4] >> 3*(ib16%4)) & 0x7) + 1);
+    const float delta = x[i].qh[2*ib+il/2] & (0x08 << 4*(il%2)) ? -1 - IQ1M_DELTA : -1 + IQ1M_DELTA;
+    uint32_t grid32[2]; const int8_t * q = (const int8_t *)grid32;
+    grid32[0] = iq1s_grid_gpu[x[i].qs[4*ib+il] | (((x[i].qh[2*ib+il/2] >> 4*(il%2)) & 7) << 8)];
+    grid32[1] = (grid32[0] >> 4) & 0x0f0f0f0f;
+    grid32[0] &= 0x0f0f0f0f;
+#pragma unroll
+    for (int j = 0; j < 8; ++j) {
+        y[j] = d * (q[j] + delta);
+    }
+#else
+    assert(false);
+#endif
+
+}
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq4_nl(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                        const sycl::nd_item<3> &item_ct1) {
+
+    const int i = item_ct1.get_group(2);
+    const block_iq4_nl * x = (const block_iq4_nl *) vx + i*(QK_K/QK4_NL);
+
+    const int tid = item_ct1.get_local_id(2);
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 4*il;
+    const uint8_t  * q4 = x[ib].qs + 4*il;
+    const float d = (float)x[ib].d;
+#pragma unroll
+    for (int j = 0; j < 4; ++j) {
+        y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
+        y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
+    }
+
+}
+
+
+template <typename dst_t>
+__dpct_inline__ static void
+dequantize_block_iq4_xs(const void *__restrict__ vx, dst_t *__restrict__ yy,
+                        const sycl::nd_item<3> &item_ct1) {
+    const int i = item_ct1.get_group(2);
+    const block_iq4_xs * x = (const block_iq4_xs *)vx;
+
+    const int tid = item_ct1.get_local_id(2);
+    const int il = tid/8; // 0...3
+    const int ib = tid%8; // 0...7
+    dst_t * y = yy + i*QK_K + 32*ib + 4*il;
+    const uint8_t  * q4 = x[i].qs + 16*ib + 4*il;
+    const float d = (float)x[i].d * ((((x[i].scales_l[ib/2] >> 4*(ib%2)) & 0xf) | (((x[i].scales_h >> 2*ib) & 3) << 4)) - 32);
+#pragma unroll
+    for (int j = 0; j < 4; ++j) {
+        y[j+ 0] = d * kvalues_iq4nl[q4[j] & 0xf];
+        y[j+16] = d * kvalues_iq4nl[q4[j] >>  4];
+    }
+}
+
+
+#endif // GGML_SYCL_DEQUANTIZE_HPP
diff --git a/ggml-sycl/dmmv.cpp b/ggml-sycl/dmmv.cpp
new file mode 100644
index 000000000..3a87d3ef8
--- /dev/null
+++ b/ggml-sycl/dmmv.cpp
@@ -0,0 +1,1022 @@
+#include "convert.hpp"
+#include "dmmv.hpp"
+#include "dequantize.hpp"
+#include "presets.hpp"
+
+static void convert_f16(const void * vx, const int ib, const int iqs, dfloat2 & v){
+    const sycl::half *x = (const sycl::half *)vx;
+
+    // automatic half -> float type cast if dfloat == float
+    v.x() = x[ib + iqs + 0];
+    v.y() = x[ib + iqs + 1];
+}
+
+static void convert_f32(const void * vx, const int ib, const int iqs, dfloat2 & v){
+    const float * x = (const float *) vx;
+
+    // automatic half -> float type cast if dfloat == float
+    v.x() = x[ib + iqs + 0];
+    v.y() = x[ib + iqs + 1];
+}
+
+template <int qk, int qr, dequantize_kernel_t dequantize_kernel>
+static void dequantize_mul_mat_vec(const void * __restrict__ vx, const dfloat * __restrict__ y, float * __restrict__ dst, const int ncols, const int nrows,
+                                   const sycl::nd_item<3> &item_ct1) {
+    // qk = quantized weights per x block
+    // qr = number of quantized weights per data value in x block
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int tid = item_ct1.get_local_id(2);
+
+    const int iter_stride = 2*GGML_SYCL_DMMV_X;
+    const int vals_per_iter = iter_stride / WARP_SIZE; // num quantized vals per thread and i iter
+    const int y_offset = qr == 1 ? 1 : qk/2;
+
+// partial sum for each thread
+#ifdef GGML_SYCL_F16
+    sycl::half2 tmp = {0.0f, 0.0f}; // two sums for f16 to take advantage of half2 intrinsics
+#else
+    float tmp = 0.0f;
+#endif // GGML_SYCL_F16
+
+    for (int i = 0; i < ncols; i += iter_stride) {
+        const int col = i + vals_per_iter*tid;
+        const int ib = (row*ncols + col)/qk; // x block index
+        const int iqs = (col%qk)/qr; // x quant index
+        const int iybs = col - col%qk; // y block start index
+
+// processing >2 values per i iter is faster for fast GPUs
+#pragma unroll
+        for (int j = 0; j < vals_per_iter; j += 2) {
+            // process 2 vals per j iter
+
+            // dequantize
+            // for qr = 2 the iqs needs to increase by 1 per j iter because 2 weights per data val
+            dfloat2 v;
+            dequantize_kernel(vx, ib, iqs + j/qr, v);
+
+            // matrix multiplication
+            // for qr = 2 the y index needs to increase by 1 per j iter because of y_offset = qk/2
+#ifdef GGML_SYCL_F16
+            dfloat2 t1{y[iybs + iqs + j / qr + 0],
+                        y[iybs + iqs + j / qr + y_offset]};
+
+            tmp += v * t1;
+#else
+            tmp += v.x() * y[iybs + iqs + j / qr + 0];
+            tmp += v.y() * y[iybs + iqs + j / qr + y_offset];
+#endif // GGML_SYCL_F16
+        }
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+#ifdef GGML_SYCL_F16
+        dst[row] = tmp.x() + tmp.y();
+#else
+        dst[row] = tmp;
+#endif // GGML_SYCL_F16
+    }
+}
+
+static void convert_mul_mat_vec_f16_sycl(const void *vx, const dfloat *y,
+                                         float *dst, const int ncols,
+                                         const int nrows,
+                                         dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<1, 1, convert_f16>(vx, y, dst, ncols,
+                                                          nrows, item_ct1);
+            });
+    }
+}
+
+/*
+DPCT1110:4: The total declared local variable size in device function
+dequantize_mul_mat_vec_q2_k exceeds 128 bytes and may cause high register
+pressure. Consult with your hardware vendor to find the total register size
+available and adjust the code, or use smaller sub-group size to avoid high
+register pressure.
+*/
+static void dequantize_mul_mat_vec_q2_k(const void *__restrict__ vx,
+                                        const float *__restrict__ yy,
+                                        float *__restrict__ dst,
+                                        const int ncols, int nrows,
+                                        const sycl::nd_item<3> &item_ct1) {
+
+    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    const block_q2_K * x = (const block_q2_K *)vx + ib0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+#if QK_K == 256
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...15
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
+
+    const int step = 16/K_QUANTS_PER_ITERATION;
+
+    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const int in = tid - step*im;                        // 0...15 or 0...7
+
+    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15 or 0...14 in steps of 2
+    const int q_offset = 32*im + l0;
+    const int s_offset = 8*im;
+    const int y_offset = 128*im + l0;
+
+    uint32_t aux[4];
+    const uint8_t * d = (const uint8_t *)aux;
+    const uint8_t * m = (const uint8_t *)(aux + 2);
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+
+        const float   * y = yy + i * QK_K + y_offset;
+        const uint8_t * q = x[i].qs + q_offset;
+
+        const float dall = x[i].dm[0];
+        const float dmin = x[i].dm[1];
+
+        const uint32_t * a = (const uint32_t *)(x[i].scales + s_offset);
+        aux[0] = a[0] & 0x0f0f0f0f;
+        aux[1] = a[1] & 0x0f0f0f0f;
+        aux[2] = (a[0] >> 4) & 0x0f0f0f0f;
+        aux[3] = (a[1] >> 4) & 0x0f0f0f0f;
+
+        float sum1 = 0, sum2 = 0;
+        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+            sum1 += y[l+ 0] * d[0] * ((q[l+ 0] >> 0) & 3)
+                  + y[l+32] * d[2] * ((q[l+ 0] >> 2) & 3)
+                  + y[l+64] * d[4] * ((q[l+ 0] >> 4) & 3)
+                  + y[l+96] * d[6] * ((q[l+ 0] >> 6) & 3)
+                  + y[l+16] * d[1] * ((q[l+16] >> 0) & 3)
+                  + y[l+48] * d[3] * ((q[l+16] >> 2) & 3)
+                  + y[l+80] * d[5] * ((q[l+16] >> 4) & 3)
+                  +y[l+112] * d[7] * ((q[l+16] >> 6) & 3);
+            sum2 += y[l+ 0] * m[0] + y[l+32] * m[2] + y[l+64] * m[4] + y[ l+96] * m[6]
+                  + y[l+16] * m[1] + y[l+48] * m[3] + y[l+80] * m[5] + y[l+112] * m[7];
+
+        }
+        tmp += dall * sum1 - dmin * sum2;
+
+    }
+#else
+    const int tid = item_ct1.get_local_id(2) /
+                    (2 * K_QUANTS_PER_ITERATION); // 0...15 or 0...7
+    const int ix = item_ct1.get_local_id(2) %
+                   (2 * K_QUANTS_PER_ITERATION); // 0....1 or 0...3
+    const int offset = tid * K_QUANTS_PER_ITERATION;
+
+    uint32_t uaux[2];
+    const uint8_t * d = (const uint8_t *)uaux;
+
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+
+        const float   * y = yy + i * QK_K + offset;
+        const uint8_t * q = x[i].qs + offset;
+        const uint32_t * s = (const uint32_t *)x[i].scales;
+
+        uaux[0] = s[0] & 0x0f0f0f0f;
+        uaux[1] = (s[0] >> 4) & 0x0f0f0f0f;
+
+        const sycl::float2 dall =
+            x[i].dm.convert<float, sycl::rounding_mode::automatic>();
+
+        float sum1 = 0, sum2 = 0;
+        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+            const uint8_t ql = q[l];
+            sum1 += y[l+ 0] * d[0] * ((ql >> 0) & 3)
+                  + y[l+16] * d[1] * ((ql >> 2) & 3)
+                  + y[l+32] * d[2] * ((ql >> 4) & 3)
+                  + y[l+48] * d[3] * ((ql >> 6) & 3);
+            sum2 += y[l+0] * d[4] + y[l+16] * d[5] + y[l+32] * d[6] + y[l+48] * d[7];
+        }
+        tmp += dall.x() * sum1 - dall.y() * sum2;
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+/*
+DPCT1110:5: The total declared local variable size in device function
+dequantize_mul_mat_vec_q3_k exceeds 128 bytes and may cause high register
+pressure. Consult with your hardware vendor to find the total register size
+available and adjust the code, or use smaller sub-group size to avoid high
+register pressure.
+*/
+static void dequantize_mul_mat_vec_q3_k(const void *__restrict__ vx,
+                                        const float *__restrict__ yy,
+                                        float *__restrict__ dst,
+                                        const int ncols, int nrows,
+                                        const sycl::nd_item<3> &item_ct1) {
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    const block_q3_K * x = (const block_q3_K *)vx + ib0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+#if QK_K == 256
+
+    const uint16_t kmask1 = 0x0303;
+    const uint16_t kmask2 = 0x0f0f;
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
+
+    const int n  = K_QUANTS_PER_ITERATION;               // iterations in the inner loop
+    const int step = 16/K_QUANTS_PER_ITERATION;
+    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const int in = tid - step*im;                        // 0....15 or 0...7
+
+    const uint8_t m = 1 << (4*im);
+
+    const int l0 = n*in;                                 // 0...15 or 0...14 in steps of 2
+    const int q_offset =  32*im + l0;
+    const int y_offset = 128*im + l0;
+
+    uint16_t utmp[4];
+    const int8_t * s = (const int8_t *)utmp;
+
+    const uint16_t s_shift = 4*im;
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+
+        const float   * y  = yy + i * QK_K + y_offset;
+        const uint8_t * q = x[i].qs + q_offset;
+        const uint8_t * h = x[i].hmask + l0;
+
+        const uint16_t * a = (const uint16_t *)x[i].scales;
+        utmp[0] = ((a[0] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 0)) & kmask1) << 4);
+        utmp[1] = ((a[1] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 0)) & kmask1) << 4);
+        utmp[2] = ((a[2] >> s_shift) & kmask2) | (((a[4] >> (s_shift + 2)) & kmask1) << 4);
+        utmp[3] = ((a[3] >> s_shift) & kmask2) | (((a[5] >> (s_shift + 2)) & kmask1) << 4);
+
+        const float d = x[i].d;
+
+        float sum = 0;
+        for (int l = 0; l < n; ++l) {
+            sum += y[l+ 0] * (s[0] - 32) * (((q[l] >> 0) & 3) - (h[l] & (m << 0) ? 0 : 4))
+                 + y[l+32] * (s[2] - 32) * (((q[l] >> 2) & 3) - (h[l] & (m << 1) ? 0 : 4))
+                 + y[l+64] * (s[4] - 32) * (((q[l] >> 4) & 3) - (h[l] & (m << 2) ? 0 : 4))
+                 + y[l+96] * (s[6] - 32) * (((q[l] >> 6) & 3) - (h[l] & (m << 3) ? 0 : 4));
+            sum += y[l+16] * (s[1] - 32) * (((q[l+16] >> 0) & 3) - (h[l+16] & (m << 0) ? 0 : 4))
+                 + y[l+48] * (s[3] - 32) * (((q[l+16] >> 2) & 3) - (h[l+16] & (m << 1) ? 0 : 4))
+                 + y[l+80] * (s[5] - 32) * (((q[l+16] >> 4) & 3) - (h[l+16] & (m << 2) ? 0 : 4))
+                + y[l+112] * (s[7] - 32) * (((q[l+16] >> 6) & 3) - (h[l+16] & (m << 3) ? 0 : 4));
+        }
+        tmp += d * sum;
+
+    }
+#else
+
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15 or 0...7
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0....1 or 0...3
+    const int offset = tid * K_QUANTS_PER_ITERATION;         // 0...15 or 0...14
+    const int in = offset/8;                                 // 0 or 1
+    const int im = offset%8;                                 // 0...7
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+
+        const float   * y = yy + i * QK_K + offset;
+        const uint8_t * q = x[i].qs + offset;
+        const uint8_t * s = x[i].scales;
+
+        const float dall = (float)x[i].d;
+
+        float sum = 0;
+        for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+            const uint8_t hl = x[i].hmask[im+l] >> in;
+            const uint8_t ql = q[l];
+            sum += y[l+ 0] * dall * ((s[0] & 0xF) - 8) * ((int8_t)((ql >> 0) & 3) - ((hl >> 0) & 1 ? 0 : 4))
+                 + y[l+16] * dall * ((s[0] >>  4) - 8) * ((int8_t)((ql >> 2) & 3) - ((hl >> 2) & 1 ? 0 : 4))
+                 + y[l+32] * dall * ((s[1] & 0xF) - 8) * ((int8_t)((ql >> 4) & 3) - ((hl >> 4) & 1 ? 0 : 4))
+                 + y[l+48] * dall * ((s[1] >>  4) - 8) * ((int8_t)((ql >> 6) & 3) - ((hl >> 6) & 1 ? 0 : 4));
+        }
+        tmp += sum;
+    }
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+/*
+DPCT1110:6: The total declared local variable size in device function
+dequantize_mul_mat_vec_q4_k exceeds 128 bytes and may cause high register
+pressure. Consult with your hardware vendor to find the total register size
+available and adjust the code, or use smaller sub-group size to avoid high
+register pressure.
+*/
+static void dequantize_mul_mat_vec_q4_k(const void *__restrict__ vx,
+                                        const float *__restrict__ yy,
+                                        float *__restrict__ dst,
+                                        const int ncols, int nrows,
+                                        const sycl::nd_item<3> &item_ct1) {
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    const block_q4_K * x = (const block_q4_K *)vx + ib0;
+
+#if QK_K == 256
+    const uint16_t kmask1 = 0x3f3f;
+    const uint16_t kmask2 = 0x0f0f;
+    const uint16_t kmask3 = 0xc0c0;
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0,1
+
+    const int step = 8/K_QUANTS_PER_ITERATION;           // 8 or 4
+
+    const int il  = tid/step;                            // 0...3
+    const int ir  = tid - step*il;                       // 0...7 or 0...3
+    const int n   = 2 * K_QUANTS_PER_ITERATION;          // 2 or 4
+
+    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const int in = il%2;
+
+    const int l0 = n*(2*ir + in);
+    const int q_offset = 32*im + l0;
+    const int y_offset = 64*im + l0;
+
+    uint16_t aux[4];
+    const uint8_t * sc = (const uint8_t *)aux;
+
+#if K_QUANTS_PER_ITERATION == 2
+    uint32_t q32[4];
+    const uint8_t * q4 = (const uint8_t *)q32;
+#else
+    uint16_t q16[4];
+    const uint8_t * q4 = (const uint8_t *)q16;
+#endif
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+
+        const float   * y1 = yy + i*QK_K + y_offset;
+        const float   * y2 = y1 + 128;
+
+        const float dall = x[i].dm[0];
+        const float dmin = x[i].dm[1];
+
+        const uint16_t * a = (const uint16_t *)x[i].scales;
+        aux[0] = a[im+0] & kmask1;
+        aux[1] = a[im+2] & kmask1;
+        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
+        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
+
+#if K_QUANTS_PER_ITERATION == 2
+        const uint32_t * q1 = (const uint32_t *)(x[i].qs + q_offset);
+        const uint32_t * q2 = q1 + 16;
+
+        q32[0] = q1[0] & 0x0f0f0f0f;
+        q32[1] = q1[0] & 0xf0f0f0f0;
+        q32[2] = q2[0] & 0x0f0f0f0f;
+        q32[3] = q2[0] & 0xf0f0f0f0;
+
+        sycl::float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 4; ++l) {
+            s.x() += y1[l] * q4[l + 0]; s.y() += y1[l + 32] * q4[l + 4];
+            s.z() += y2[l] * q4[l + 8]; s.w() += y2[l + 32] * q4[l + 12];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x() * sc[0] + s.y() * sc[1] * 1.f / 16.f +
+                       s.z() * sc[4] + s.w() * sc[5] * 1.f / 16.f) -
+               dmin * smin;
+#else
+        const uint16_t * q1 = (const uint16_t *)(x[i].qs + q_offset);
+        const uint16_t * q2 = q1 + 32;
+
+        q16[0] = q1[0] & 0x0f0f;
+        q16[1] = q1[0] & 0xf0f0;
+        q16[2] = q2[0] & 0x0f0f;
+        q16[3] = q2[0] & 0xf0f0;
+
+        float4 s = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        for (int l = 0; l < 2; ++l) {
+            s.x += y1[l] * q4[l+0]; s.y += y1[l+32] * q4[l+2];
+            s.z += y2[l] * q4[l+4]; s.w += y2[l+32] * q4[l+6];
+            smin += y1[l] * sc[2] + y1[l+32] * sc[3] + y2[l] * sc[6] + y2[l+32] * sc[7];
+        }
+        tmp += dall * (s.x * sc[0] + s.y * sc[1] * 1.f/16.f + s.z * sc[4] + s.w * sc[5] * 1.f/16.f) - dmin * smin;
+#endif
+
+    }
+#else
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    uint16_t aux16[2];
+    const uint8_t * s = (const uint8_t *)aux16;
+
+    float tmp = 0;
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const uint8_t * q = x[i].qs + step;
+        const float   * y = yy + i*QK_K + step;
+        const uint16_t * a = (const uint16_t *)x[i].scales;
+        aux16[0] = a[0] & 0x0f0f;
+        aux16[1] = (a[0] >> 4) & 0x0f0f;
+        const float d = (float)x[i].dm[0];
+        const float m = (float)x[i].dm[1];
+        float sum = 0.f;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * (d * s[0] * (q[j+ 0] & 0xF) - m * s[2])
+                 + y[j+16] * (d * s[0] * (q[j+16] & 0xF) - m * s[2])
+                 + y[j+32] * (d * s[1] * (q[j+ 0] >>  4) - m * s[3])
+                 + y[j+48] * (d * s[1] * (q[j+16] >>  4) - m * s[3]);
+        }
+        tmp += sum;
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
+/*
+DPCT1110:7: The total declared local variable size in device function
+dequantize_mul_mat_vec_q5_k exceeds 128 bytes and may cause high register
+pressure. Consult with your hardware vendor to find the total register size
+available and adjust the code, or use smaller sub-group size to avoid high
+register pressure.
+*/
+static void dequantize_mul_mat_vec_q5_k(const void *__restrict__ vx,
+                                        const float *__restrict__ yy,
+                                        float *__restrict__ dst,
+                                        const int ncols,
+                                        const sycl::nd_item<3> &item_ct1) {
+
+    const int row = item_ct1.get_group(2);
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    const block_q5_K * x = (const block_q5_K *)vx + ib0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+#if QK_K == 256
+    const uint16_t kmask1 = 0x3f3f;
+    const uint16_t kmask2 = 0x0f0f;
+    const uint16_t kmask3 = 0xc0c0;
+
+    const int tid = item_ct1.get_local_id(2) / 2; // 0...15
+    const int ix = item_ct1.get_local_id(2) % 2;
+
+    const int il  = tid/4;     // 0...3
+    const int ir  = tid - 4*il;// 0...3
+    const int n   = 2;
+
+    const int im = il/2;  // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
+    const int in = il%2;
+
+    const int l0 = n*(2*ir + in);
+    const int q_offset = 32*im + l0;
+    const int y_offset = 64*im + l0;
+
+    const uint8_t hm1  = 1 << (2*im);
+    const uint8_t hm2  = hm1 << 4;
+
+    uint16_t aux[4];
+    const uint8_t * sc = (const uint8_t *)aux;
+
+    uint16_t q16[8];
+    const uint8_t * q4 = (const uint8_t *)q16;
+
+    for (int i = ix; i < num_blocks_per_row; i += 2) {
+
+        const uint8_t * ql1 = x[i].qs + q_offset;
+        const uint8_t * qh  = x[i].qh + l0;
+        const float   * y1  = yy + i*QK_K + y_offset;
+        const float   * y2  = y1 + 128;
+
+        const float dall = x[i].dm[0];
+        const float dmin = x[i].dm[1];
+
+        const uint16_t * a = (const uint16_t *)x[i].scales;
+        aux[0] = a[im+0] & kmask1;
+        aux[1] = a[im+2] & kmask1;
+        aux[2] = ((a[im+4] >> 0) & kmask2) | ((a[im+0] & kmask3) >> 2);
+        aux[3] = ((a[im+4] >> 4) & kmask2) | ((a[im+2] & kmask3) >> 2);
+
+        sycl::float4 sum = {0.f, 0.f, 0.f, 0.f};
+        float smin = 0;
+        const uint16_t * q1 = (const uint16_t *)ql1;
+        const uint16_t * q2 = q1 + 32;
+        q16[0] = q1[0] & 0x0f0f;
+        q16[1] = q1[8] & 0x0f0f;
+        q16[2] = (q1[0] >> 4) & 0x0f0f;
+        q16[3] = (q1[8] >> 4) & 0x0f0f;
+        q16[4] = q2[0] & 0x0f0f;
+        q16[5] = q2[8] & 0x0f0f;
+        q16[6] = (q2[0] >> 4) & 0x0f0f;
+        q16[7] = (q2[8] >> 4) & 0x0f0f;
+        for (int l = 0; l < n; ++l) {
+            sum.x() +=
+                y1[l + 0] * (q4[l + 0] + (qh[l + 0] & (hm1 << 0) ? 16 : 0)) +
+                y1[l + 16] * (q4[l + 2] + (qh[l + 16] & (hm1 << 0) ? 16 : 0));
+            sum.y() +=
+                y1[l + 32] * (q4[l + 4] + (qh[l + 0] & (hm1 << 1) ? 16 : 0)) +
+                y1[l + 48] * (q4[l + 6] + (qh[l + 16] & (hm1 << 1) ? 16 : 0));
+            sum.z() +=
+                y2[l + 0] * (q4[l + 8] + (qh[l + 0] & (hm2 << 0) ? 16 : 0)) +
+                y2[l + 16] * (q4[l + 10] + (qh[l + 16] & (hm2 << 0) ? 16 : 0));
+            sum.w() +=
+                y2[l + 32] * (q4[l + 12] + (qh[l + 0] & (hm2 << 1) ? 16 : 0)) +
+                y2[l + 48] * (q4[l + 14] + (qh[l + 16] & (hm2 << 1) ? 16 : 0));
+            smin += (y1[l] + y1[l+16]) * sc[2] + (y1[l+32] + y1[l+48]) * sc[3]
+                  + (y2[l] + y2[l+16]) * sc[6] + (y2[l+32] + y2[l+48]) * sc[7];
+        }
+        tmp += dall * (sum.x() * sc[0] + sum.y() * sc[1] + sum.z() * sc[4] +
+                       sum.w() * sc[5]) -
+               dmin * smin;
+    }
+
+#else
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...15
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);
+    const int step = tid * K_QUANTS_PER_ITERATION;
+    const int im = step/8;
+    const int in = step%8;
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+        const uint8_t * q = x[i].qs + step;
+        const int8_t  * s = x[i].scales;
+        const float   * y = yy + i*QK_K + step;
+        const float     d = x[i].d;
+        float sum = 0.f;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            const uint8_t h = x[i].qh[in+j] >> im;
+            sum += y[j+ 0] * d * s[0] * ((q[j+ 0] & 0xF) - ((h >> 0) & 1 ? 0 : 16))
+                 + y[j+16] * d * s[1] * ((q[j+16] & 0xF) - ((h >> 2) & 1 ? 0 : 16))
+                 + y[j+32] * d * s[2] * ((q[j+ 0] >>  4) - ((h >> 4) & 1 ? 0 : 16))
+                 + y[j+48] * d * s[3] * ((q[j+16] >>  4) - ((h >> 6) & 1 ? 0 : 16));
+        }
+        tmp += sum;
+    }
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+static void dequantize_mul_mat_vec_q6_k(const void * __restrict__ vx, const float * __restrict__ yy, float * __restrict__ dst, const int ncols, int nrows,
+                                        const sycl::nd_item<3> &item_ct1) {
+
+    static_assert(16%K_QUANTS_PER_ITERATION == 0, "16 must be divisible by K_QUANTS_PER_ITERATION");
+
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+    if (row > nrows) return;
+
+    const int num_blocks_per_row = ncols / QK_K;
+    const int ib0 = row*num_blocks_per_row;
+
+    const block_q6_K * x = (const block_q6_K *)vx + ib0;
+
+#if QK_K == 256
+
+    const int tid =
+        item_ct1.get_local_id(2) / K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+    const int ix =
+        item_ct1.get_local_id(2) % K_QUANTS_PER_ITERATION; // 0 or 0, 1
+
+    const int step = 16/K_QUANTS_PER_ITERATION;          // 16 or 8
+
+    const int im = tid/step;                             // 0 or 1. 0 computes 0..., 1 computes 128...
+    const int in = tid - step*im;                        // 0...15 or 0...7
+
+#if K_QUANTS_PER_ITERATION == 1
+    const int l0 = K_QUANTS_PER_ITERATION*in;            // 0...15
+    const int is = 0;
+#else
+    const int l0 = 4 * in;                               // 0, 4, 8, ..., 28
+    const int is = in / 4;
+#endif
+    const int ql_offset = 64*im + l0;
+    const int qh_offset = 32*im + l0;
+    const int s_offset  =  8*im + is;
+    const int y_offset = 128*im + l0;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+
+        const float   * y  = yy + i * QK_K + y_offset;
+        const uint8_t * ql = x[i].ql + ql_offset;
+        const uint8_t * qh = x[i].qh + qh_offset;
+        const int8_t  * s  = x[i].scales + s_offset;
+
+        const float d = x[i].d;
+
+#if K_QUANTS_PER_ITERATION == 1
+        float sum = y[ 0] * s[0] * d * ((int8_t)((ql[ 0] & 0xF) | ((qh[ 0] & 0x03) << 4)) - 32)
+                  + y[16] * s[1] * d * ((int8_t)((ql[16] & 0xF) | ((qh[16] & 0x03) << 4)) - 32)
+                  + y[32] * s[2] * d * ((int8_t)((ql[32] & 0xF) | ((qh[ 0] & 0x0c) << 2)) - 32)
+                  + y[48] * s[3] * d * ((int8_t)((ql[48] & 0xF) | ((qh[16] & 0x0c) << 2)) - 32)
+                  + y[64] * s[4] * d * ((int8_t)((ql[ 0]  >> 4) | ((qh[ 0] & 0x30) >> 0)) - 32)
+                  + y[80] * s[5] * d * ((int8_t)((ql[16]  >> 4) | ((qh[16] & 0x30) >> 0)) - 32)
+                  + y[96] * s[6] * d * ((int8_t)((ql[32]  >> 4) | ((qh[ 0] & 0xc0) >> 2)) - 32)
+                  +y[112] * s[7] * d * ((int8_t)((ql[48]  >> 4) | ((qh[16] & 0xc0) >> 2)) - 32);
+        tmp += sum;
+#else
+        float sum = 0;
+        for (int l = 0; l < 4; ++l) {
+            sum += y[l+ 0] * s[0] * d * ((int8_t)((ql[l+ 0] & 0xF) | (((qh[l] >> 0) & 3) << 4)) - 32)
+                 + y[l+32] * s[2] * d * ((int8_t)((ql[l+32] & 0xF) | (((qh[l] >> 2) & 3) << 4)) - 32)
+                 + y[l+64] * s[4] * d * ((int8_t)((ql[l+ 0]  >> 4) | (((qh[l] >> 4) & 3) << 4)) - 32)
+                 + y[l+96] * s[6] * d * ((int8_t)((ql[l+32]  >> 4) | (((qh[l] >> 6) & 3) << 4)) - 32);
+        }
+        tmp += sum;
+#endif
+
+    }
+
+#else
+
+    const int tid = item_ct1.get_local_id(2)/(2*K_QUANTS_PER_ITERATION);  // 0...7
+    const int ix  = item_ct1.get_local_id(2)%(2*K_QUANTS_PER_ITERATION);  // 0...3
+
+    const int step = tid * K_QUANTS_PER_ITERATION;
+
+    float tmp = 0; // partial sum for thread in warp
+
+    for (int i = ix; i < num_blocks_per_row; i += 2*K_QUANTS_PER_ITERATION) {
+
+        const float   * y  = yy + i * QK_K + step;
+        const uint8_t * ql = x[i].ql + step;
+        const uint8_t * qh = x[i].qh + step;
+        const int8_t  * s  = x[i].scales;
+
+        const float d = x[i+0].d;
+
+        float sum = 0;
+        for (int j = 0; j < K_QUANTS_PER_ITERATION; ++j) {
+            sum += y[j+ 0] * s[0] * d * ((int8_t)((ql[j+ 0] & 0xF) | ((qh[j] & 0x03) << 4)) - 32)
+                 + y[j+16] * s[1] * d * ((int8_t)((ql[j+16] & 0xF) | ((qh[j] & 0x0c) << 2)) - 32)
+                 + y[j+32] * s[2] * d * ((int8_t)((ql[j+ 0] >>  4) | ((qh[j] & 0x30) >> 0)) - 32)
+                 + y[j+48] * s[3] * d * ((int8_t)((ql[j+16] >>  4) | ((qh[j] & 0xc0) >> 2)) - 32);
+        }
+        tmp += sum;
+
+    }
+
+#endif
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (tid == 0) {
+        dst[row] = tmp;
+    }
+}
+
+
+static void dequantize_mul_mat_vec_q4_0_sycl(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    // the number of rows may exceed maximum grid size in the y or z dimensions, use the x dimension instead
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<QK4_0, QR4_0, dequantize_q4_0>(
+                    vx, y, dst, ncols, nrows, item_ct1);
+            });
+    }
+}
+
+static void dequantize_mul_mat_vec_q4_1_sycl(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<QK4_1, QR4_1, dequantize_q4_1>(
+                    vx, y, dst, ncols, nrows, item_ct1);
+            });
+    }
+}
+
+static void dequantize_mul_mat_vec_q5_0_sycl(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<QK5_0, QR5_0, dequantize_q5_0>(
+                    vx, y, dst, ncols, nrows, item_ct1);
+            });
+    }
+}
+
+static void dequantize_mul_mat_vec_q5_1_sycl(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<QK5_1, QR5_1, dequantize_q5_1>(
+                    vx, y, dst, ncols, nrows, item_ct1);
+            });
+    }
+}
+
+static void dequantize_mul_mat_vec_q8_0_sycl(const void *vx, const dfloat *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % GGML_SYCL_DMMV_X == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        dpct::has_capability_or_fail(stream->get_device(),
+                                     {sycl::aspect::fp16});
+
+        stream->parallel_for(
+            sycl::nd_range<3>(block_nums * block_dims, block_dims),
+            [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+                dequantize_mul_mat_vec<QK8_0, QR8_0, dequantize_q8_0>(
+                    vx, y, dst, ncols, nrows, item_ct1);
+            });
+    }
+}
+
+static void dequantize_mul_mat_vec_q2_K_sycl(const void *vx, const float *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2; // very slightly faster than 1 even when K_QUANTS_PER_ITERATION = 2
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, 32);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+            dequantize_mul_mat_vec_q2_k(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q3_K_sycl(const void *vx, const float *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, 32);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+            dequantize_mul_mat_vec_q3_k(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q4_K_sycl(const void *vx, const float *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, 32);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+            dequantize_mul_mat_vec_q4_k(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q5_K_sycl(const void *vx, const float *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const sycl::range<3> block_dims(1, 1, 32);
+    stream->parallel_for(
+        sycl::nd_range<3>(sycl::range<3>(1, 1, nrows) * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+            dequantize_mul_mat_vec_q5_k(vx, y, dst, ncols, item_ct1);
+        });
+}
+
+static void dequantize_mul_mat_vec_q6_K_sycl(const void *vx, const float *y,
+                                             float *dst, const int ncols,
+                                             const int nrows,
+                                             dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int ny = 2 / K_QUANTS_PER_ITERATION;
+    const int block_num_y = (nrows + ny - 1) / ny;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, ny, 32);
+    stream->parallel_for(
+        sycl::nd_range<3>(block_nums * block_dims, block_dims),
+        [=](sycl::nd_item<3> item_ct1) [[intel::reqd_sub_group_size(32)]] {
+            dequantize_mul_mat_vec_q6_k(vx, y, dst, ncols, nrows, item_ct1);
+        });
+}
+
+void ggml_sycl_op_dequantize_mul_mat_vec(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
+    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
+    const int64_t src1_ncols, const int64_t src1_padded_row_size,
+    const dpct::queue_ptr &stream) {
+
+    const int64_t ne00 = src0->ne[0];
+    const int64_t row_diff = row_high - row_low;
+
+    GGML_ASSERT(src1->type == GGML_TYPE_F32);
+    // on some GPUs it is faster to convert src1 to half and to use half precision intrinsics
+#ifdef GGML_SYCL_F16
+    ggml_sycl_pool_alloc<sycl::half> src1_dfloat_a(ctx.pool());
+    sycl::half *src1_dfloat = nullptr; // dfloat == half
+
+    bool src1_convert_f16 =
+        src0->type == GGML_TYPE_Q4_0 || src0->type == GGML_TYPE_Q4_1 ||
+        src0->type == GGML_TYPE_Q5_0 || src0->type == GGML_TYPE_Q5_1 ||
+        src0->type == GGML_TYPE_Q8_0 || src0->type == GGML_TYPE_F16;
+
+    if (src1_convert_f16) {
+        src1_dfloat = src1_dfloat_a.alloc(ne00);
+        const to_fp16_sycl_t to_fp16_sycl = ggml_get_to_fp16_sycl(src1->type);
+        GGML_ASSERT(to_fp16_sycl != nullptr);
+        to_fp16_sycl(src1_ddf_i, src1_dfloat, ne00, stream);
+    }
+#else
+    const dfloat * src1_dfloat = (const dfloat *) src1_ddf_i; // dfloat == float, no conversion
+#endif // GGML_SYCL_F16
+
+    switch (src0->type) {
+        case GGML_TYPE_Q4_0:
+            dequantize_mul_mat_vec_q4_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q4_1:
+            dequantize_mul_mat_vec_q4_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_0:
+            dequantize_mul_mat_vec_q5_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_1:
+            dequantize_mul_mat_vec_q5_1_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q8_0:
+            dequantize_mul_mat_vec_q8_0_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q2_K:
+            dequantize_mul_mat_vec_q2_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q3_K:
+            dequantize_mul_mat_vec_q3_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q4_K:
+            dequantize_mul_mat_vec_q4_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_K:
+            dequantize_mul_mat_vec_q5_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q6_K:
+            dequantize_mul_mat_vec_q6_K_sycl(src0_dd_i, src1_ddf_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_F16:
+            convert_mul_mat_vec_f16_sycl(src0_dd_i, src1_dfloat, dst_dd_i, ne00, row_diff, stream);
+            break;
+        default:
+            printf("ggml_sycl_op_dequantize_mul_mat_vec unsupported GGML_TYPE %d\n", src0->type);
+            GGML_ASSERT(false);
+            break;
+    }
+
+    (void) src1;
+    (void) dst;
+    (void) src1_ddq_i;
+    (void) src1_ncols;
+    (void) src1_padded_row_size;
+}
diff --git a/ggml-sycl/dmmv.hpp b/ggml-sycl/dmmv.hpp
new file mode 100644
index 000000000..bd8373564
--- /dev/null
+++ b/ggml-sycl/dmmv.hpp
@@ -0,0 +1,27 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_DMMV_HPP
+#define GGML_SYCL_DMMV_HPP
+
+#include "common.hpp"
+
+
+void ggml_sycl_op_dequantize_mul_mat_vec(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
+    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
+    const int64_t src1_ncols, const int64_t src1_padded_row_size,
+    const dpct::queue_ptr &stream);
+
+#endif // GGML_SYCL_DMMV_HPP
diff --git a/ggml-sycl/mmq.cpp b/ggml-sycl/mmq.cpp
new file mode 100644
index 000000000..b514f0040
--- /dev/null
+++ b/ggml-sycl/mmq.cpp
@@ -0,0 +1,3031 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#include "mmq.hpp"
+#include "vecdotq.hpp"
+
+typedef void (*allocate_tiles_sycl_t)(
+    int** x_ql,
+    sycl::half2** x_dm,
+    int** x_qh,
+    int** x_sc);
+typedef void (*load_tiles_sycl_t)(
+    const void* __restrict__ vx,
+    int* __restrict__ x_ql,
+    sycl::half2* __restrict__ x_dm,
+    int* __restrict__ x_qh,
+    int* __restrict__ x_sc,
+    const int& i_offset,
+    const int& i_max,
+    const int& k,
+    const int& blocks_per_row);
+typedef float (*vec_dot_q_mul_mat_sycl_t)(
+    const int* __restrict__ x_ql,
+    const sycl::half2* __restrict__ x_dm,
+    const int* __restrict__ x_qh,
+    const int* __restrict__ x_sc,
+    const int* __restrict__ y_qs,
+    const sycl::half2* __restrict__ y_ms,
+    const int& i,
+    const int& j,
+    const int& k);
+
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q4_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_qs_q4_0, float *tile_x_d_q4_0) {
+    (void)x_qh; (void)x_sc;
+
+    *x_ql = tile_x_qs_q4_0;
+    *x_dm = (sycl::half2 *)tile_x_d_q4_0;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q4_0(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh; (void)x_sc;
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI4_0;
+    const int kqsx = k % QI4_0;
+
+    const block_q4_0 * bx0 = (const block_q4_0 *) vx;
+
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
+        // x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbx] = bxi->d;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_0;
+    const int kbxd = k % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_0) {
+        int i = i0 + i_offset * QI4_0 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_0 * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI4_0) + i / QI4_0 + kbxd] = bxi->d;
+    }
+}
+
+static __dpct_inline__ float vec_dot_q4_0_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh; (void)x_sc;
+
+    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
+    const float * x_dmf = (const float *) x_dm;
+
+    int u[2*VDR_Q4_0_Q8_1_MMQ];
+
+#pragma unroll
+    for (int l = 0; l < VDR_Q4_0_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_0) % WARP_SIZE];
+    }
+
+    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dmf[i * (WARP_SIZE/QI4_0) + i/QI4_0 + k/QI4_0],
+         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q4_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_qs_q4_1, sycl::half2 *tile_x_dm_q4_1) {
+    (void)x_qh; (void)x_sc;
+
+    *x_ql = tile_x_qs_q4_1;
+    *x_dm = tile_x_dm_q4_1;
+}
+
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q4_1(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh; (void)x_sc;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI4_1;
+    const int kqsx = k % QI4_1;
+
+    const block_q4_1 * bx0 = (const block_q4_1 *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_1;
+    const int kbxd = k % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_1) {
+        int i = i0 + i_offset * QI4_1 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_1 * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI4_1) + i / QI4_1 + kbxd] = bxi->dm;
+    }
+}
+
+static __dpct_inline__ float vec_dot_q4_1_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh; (void)x_sc;
+
+    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
+
+    int u[2*VDR_Q4_1_Q8_1_MMQ];
+
+#pragma unroll
+    for (int l = 0; l < VDR_Q4_1_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI4_1) % WARP_SIZE];
+    }
+
+    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], u, x_dm[i * (WARP_SIZE/QI4_1) + i/QI4_1 + k/QI4_1],
+         y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q5_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q5_0, float *tile_x_d_q5_0) {
+    (void)x_qh; (void)x_sc;
+
+    *x_ql = tile_x_ql_q5_0;
+    *x_dm = (sycl::half2 *)tile_x_d_q5_0;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q5_0(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh; (void)x_sc;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI5_0;
+    const int kqsx = k % QI5_0;
+
+    const block_q5_0 * bx0 = (const block_q5_0 *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbx;
+
+        const int ql = get_int_from_uint8(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8(bxi->qh, 0) >> (4 * (k % QI5_0));
+
+        int qs0 = (ql >>  0)   & 0x0F0F0F0F;
+        qs0    |= (qh <<  4)   & 0x00000010;  // 0 ->  4
+        qs0    |= (qh << 11)   & 0x00001000;  // 1 -> 12
+        qs0    |= (qh << 18)   & 0x00100000;  // 2 -> 20
+        qs0    |= (qh << 25)   & 0x10000000;  // 3 -> 28
+        qs0 = dpct::vectorized_binary<sycl::char4>(
+            qs0, 0x10101010, dpct::sub_sat()); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
+
+        int qs1 = (ql >>  4)   & 0x0F0F0F0F;
+        qs1    |= (qh >> 12)   & 0x00000010;  // 16 ->  4
+        qs1    |= (qh >>  5)   & 0x00001000;  // 17 -> 12
+        qs1    |= (qh <<  2)   & 0x00100000;  // 18 -> 20
+        qs1    |= (qh <<  9)   & 0x10000000;  // 19 -> 28
+        qs1 = dpct::vectorized_binary<sycl::char4>(
+            qs1, 0x10101010, dpct::sub_sat()); // subtract 16
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_0;
+    const int kbxd = k % blocks_per_tile_x_row;
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_0) {
+        int i = i0 + i_offset * QI5_0 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_0 * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI5_0) + i / QI5_0 + kbxd] = bxi->d;
+    }
+}
+
+static __dpct_inline__ float vec_dot_q5_0_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh; (void)x_sc;
+
+    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
+    const int index_bx = i * (WARP_SIZE/QI5_0) + i/QI5_0 + k/QI5_0;
+    const float * x_dmf = (const float *) x_dm;
+    const float * y_df  = (const float *) y_ds;
+
+    int u[2*VDR_Q5_0_Q8_1_MMQ];
+
+#pragma unroll
+    for (int l = 0; l < VDR_Q5_0_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_0) % WARP_SIZE];
+    }
+
+    return vec_dot_q8_0_q8_1_impl<QR5_0*VDR_Q5_0_Q8_1_MMQ>
+        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dmf[index_bx], y_df[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q5_1(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q5_1, sycl::half2 *tile_x_dm_q5_1) {
+    (void)x_qh; (void)x_sc;
+
+    *x_ql = tile_x_ql_q5_1;
+    *x_dm = tile_x_dm_q5_1;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q5_1(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh; (void)x_sc;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset < nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI5_1;
+    const int kqsx = k % QI5_1;
+
+    const block_q5_1 * bx0 = (const block_q5_1 *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbx;
+
+        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int qh = get_int_from_uint8_aligned(bxi->qh, 0) >> (4 * (k % QI5_1));
+
+        int qs0 = (ql >>  0) & 0x0F0F0F0F;
+        qs0    |= (qh <<  4) & 0x00000010; // 0 ->  4
+        qs0    |= (qh << 11) & 0x00001000; // 1 -> 12
+        qs0    |= (qh << 18) & 0x00100000; // 2 -> 20
+        qs0    |= (qh << 25) & 0x10000000; // 3 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+0] = qs0;
+
+        int qs1 = (ql >>  4) & 0x0F0F0F0F;
+        qs1    |= (qh >> 12) & 0x00000010; // 16 ->  4
+        qs1    |= (qh >>  5) & 0x00001000; // 17 -> 12
+        qs1    |= (qh <<  2) & 0x00100000; // 18 -> 20
+        qs1    |= (qh <<  9) & 0x10000000; // 19 -> 28
+
+        x_ql[i * (2*WARP_SIZE + 1) + 2*k+1] = qs1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_1;
+    const int kbxd = k % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_1) {
+        int i = i0 + i_offset * QI5_1 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_1 * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI5_1) + i / QI5_1 + kbxd] = bxi->dm;
+    }
+}
+
+static __dpct_inline__ float vec_dot_q5_1_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh; (void)x_sc;
+
+    const int kyqs = k % (QI8_1/2) + QI8_1 * (k / (QI8_1/2));
+    const int index_bx = i * (WARP_SIZE/QI5_1) + + i/QI5_1 + k/QI5_1;
+
+    int u[2*VDR_Q5_1_Q8_1_MMQ];
+
+#pragma unroll
+    for (int l = 0; l < VDR_Q5_1_Q8_1_MMQ; ++l) {
+        u[2*l+0] = y_qs[j * WARP_SIZE + (kyqs + l)         % WARP_SIZE];
+        u[2*l+1] = y_qs[j * WARP_SIZE + (kyqs + l + QI5_1) % WARP_SIZE];
+    }
+
+    return vec_dot_q8_1_q8_1_impl<QR5_1*VDR_Q5_1_Q8_1_MMQ>
+        (&x_ql[i * (2*WARP_SIZE + 1) + 2 * k], u, x_dm[index_bx], y_ds[j * (WARP_SIZE/QI8_1) + (2*k/QI8_1) % (WARP_SIZE/QI8_1)]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q8_0(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_qs_q8_0, float *tile_x_d_q8_0) {
+    (void)x_qh; (void)x_sc;
+
+    *x_ql = tile_x_qs_q8_0;
+    *x_dm = (sycl::half2 *)tile_x_d_q8_0;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q8_0(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh; (void)x_sc;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI8_0;
+    const int kqsx = k % QI8_0;
+    float * x_dmf = (float *) x_dm;
+
+    const block_q8_0 * bx0 = (const block_q8_0 *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_int8(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI8_0;
+    const int kbxd = k % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI8_0) {
+        int i = i0 + i_offset * QI8_0 + k / blocks_per_tile_x_row;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q8_0 * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI8_0) + i / QI8_0 + kbxd] = bxi->d;
+    }
+}
+
+static __dpct_inline__ float vec_dot_q8_0_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh; (void)x_sc;
+
+    const float * x_dmf = (const float *) x_dm;
+    const float * y_df  = (const float *) y_ds;
+
+    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMQ>
+        (&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[j * WARP_SIZE + k], x_dmf[i * (WARP_SIZE/QI8_0) + i/QI8_0 + k/QI8_0],
+         y_df[j * (WARP_SIZE/QI8_1) + k/QI8_1]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q2_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q2_K, sycl::half2 *tile_x_dm_q2_K,
+                    int *tile_x_sc_q2_K) {
+    (void)x_qh;
+
+    *x_ql = tile_x_ql_q2_K;
+    *x_dm = tile_x_dm_q2_K;
+    *x_sc = tile_x_sc_q2_K;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q2_K(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI2_K;
+    const int kqsx = k % QI2_K;
+
+    const block_q2_K * bx0 = (const block_q2_K *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI2_K;
+    const int kbxd = k % blocks_per_tile_x_row;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI2_K) {
+        int i = (i0 + i_offset * QI2_K + k / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q2_K * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dm[i * (WARP_SIZE/QI2_K) + i / QI2_K + kbxd] = bxi->dm;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
+        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q2_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI2_K/4);
+
+        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = get_int_from_uint8_aligned(bxi->scales, k % (QI2_K/4));
+    }
+}
+
+#define VDR_Q2_K_Q8_1_MMQ  2
+// contiguous u/y values
+static __dpct_inline__ float
+vec_dot_q2_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
+                           const uint8_t *__restrict__ scales,
+                           const sycl::half2 &dm2, const float &d8) {
+
+    int sumi_d = 0;
+    int sumi_m = 0;
+
+#pragma unroll
+    for (int i0 = 0; i0 < QI8_1; i0 += QI8_1/2) {
+        int sumi_d_sc = 0;
+
+        const int sc = scales[i0 / (QI8_1/2)];
+
+        // fill int with 4x m
+        int m = sc >> 4;
+        m |= m <<  8;
+        m |= m << 16;
+
+#pragma unroll
+        for (int i = i0; i < i0 + QI8_1/2; ++i) {
+            sumi_d_sc = dpct::dp4a(v[i], u[i], sumi_d_sc); // SIMD dot product
+            sumi_m = dpct::dp4a(m, u[i],
+                                sumi_m); // multiply sum of q8_1 values with m
+        }
+
+        sumi_d += sumi_d_sc * (sc & 0xF);
+    }
+
+    const sycl::float2 dm2f =
+        dm2.convert<float, sycl::rounding_mode::automatic>();
+
+    return d8 * (dm2f.x() * sumi_d - dm2f.y() * sumi_m);
+}
+
+static __dpct_inline__ float vec_dot_q2_K_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh;
+
+    const int kbx = k / QI2_K;
+    const int ky  = (k % QI2_K) * QR2_K;
+    const float * y_df = (const float *) y_ds;
+
+    int v[QR2_K*VDR_Q2_K_Q8_1_MMQ];
+
+    const int kqsx = i * (WARP_SIZE + 1) + kbx*QI2_K + (QI2_K/2) * (ky/(2*QI2_K)) + ky % (QI2_K/2);
+    const int shift = 2 * ((ky % (2*QI2_K)) / (QI2_K/2));
+
+#pragma unroll
+    for (int l = 0; l < QR2_K*VDR_Q2_K_Q8_1_MMQ; ++l) {
+        v[l] = (x_ql[kqsx + l] >> shift) & 0x03030303;
+    }
+
+    const uint8_t * scales = ((const uint8_t *) &x_sc[i * (WARP_SIZE/4) + i/4 + kbx*4]) + ky/4;
+
+    const int index_y = j * WARP_SIZE + (QR2_K*k) % WARP_SIZE;
+    return vec_dot_q2_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dm[i * (WARP_SIZE/QI2_K) + i/QI2_K + kbx], y_df[index_y/QI8_1]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q3_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q3_K, sycl::half2 *tile_x_dm_q3_K,
+                    int *tile_x_qh_q3_K, int *tile_x_sc_q3_K) {
+
+    *x_ql = tile_x_ql_q3_K;
+    *x_dm = tile_x_dm_q3_K;
+    *x_qh = tile_x_qh_q3_K;
+    *x_sc = tile_x_sc_q3_K;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q3_K(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI3_K;
+    const int kqsx = k % QI3_K;
+
+    const block_q3_K * bx0 = (const block_q3_K *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI3_K;
+    const int kbxd = k % blocks_per_tile_x_row;
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI3_K) {
+        int i = (i0 + i_offset * QI3_K + k / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q3_K * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI3_K) + i / QI3_K + kbxd] = bxi->d;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 2) {
+        int i = i0 + i_offset * 2 + k / (WARP_SIZE/2);
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/2)) / (QI3_K/2);
+
+        // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
+        x_qh[i * (WARP_SIZE/2) + i / 2 + k % (WARP_SIZE/2)] = ~get_int_from_uint8(bxi->hmask, k % (QI3_K/2));
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 4) {
+        int i = i0 + i_offset * 4 + k / (WARP_SIZE/4);
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q3_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/4)) / (QI3_K/4);
+
+        const int ksc = k % (QI3_K/4);
+
+        const int ksc_low = ksc % (QI3_K/8);
+        const int shift_low = 4 * (ksc / (QI3_K/8));
+        const int sc_low = (get_int_from_uint8(bxi->scales, ksc_low) >> shift_low) & 0x0F0F0F0F;
+
+        const int ksc_high = QI3_K/8;
+        const int shift_high = 2 * ksc;
+        const int sc_high = ((get_int_from_uint8(bxi->scales, ksc_high) >> shift_high) << 4) & 0x30303030;
+
+        const int sc = dpct::vectorized_binary<sycl::char4>(
+            sc_low | sc_high, 0x20202020, dpct::sub_sat());
+
+        x_sc[i * (WARP_SIZE/4) + i / 4 + k % (WARP_SIZE/4)] = sc;
+    }
+}
+
+#define VDR_Q3_K_Q8_1_MMQ  2
+// contiguous u/y values
+static __dpct_inline__ float
+vec_dot_q3_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
+                           const int8_t *__restrict__ scales, const float &d3,
+                           const float &d8) {
+
+    int sumi = 0;
+
+#pragma unroll
+    for (int i0 = 0; i0 < QR3_K*VDR_Q3_K_Q8_1_MMQ; i0 += QI8_1/2) {
+        int sumi_sc = 0;
+
+        for (int i = i0; i < i0 + QI8_1/2; ++i) {
+            sumi_sc = dpct::dp4a(v[i], u[i], sumi_sc); // SIMD dot product
+        }
+
+        sumi += sumi_sc * scales[i0 / (QI8_1/2)];
+    }
+
+    return d3*d8 * sumi;
+}
+
+static __dpct_inline__ float vec_dot_q3_K_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+
+    const int kbx  = k / QI3_K;
+    const int ky  = (k % QI3_K) * QR3_K;
+    const float * x_dmf = (const float *) x_dm;
+    const float * y_df  = (const float *) y_ds;
+
+    const int8_t * scales = ((const int8_t *) (x_sc + i * (WARP_SIZE/4) + i/4 + kbx*4)) + ky/4;
+
+    int v[QR3_K*VDR_Q3_K_Q8_1_MMQ];
+
+#pragma unroll
+    for (int l = 0; l < QR3_K*VDR_Q3_K_Q8_1_MMQ; ++l) {
+        const int kqsx = i * (WARP_SIZE + 1) + kbx*QI3_K + (QI3_K/2) * (ky/(2*QI3_K)) + ky % (QI3_K/2);
+        const int shift = 2 * ((ky % 32) / 8);
+        const int vll = (x_ql[kqsx + l] >> shift) & 0x03030303;
+
+        const int vh = x_qh[i * (WARP_SIZE/2) + i/2 + kbx * (QI3_K/2) + (ky+l)%8] >> ((ky+l) / 8);
+        const int vlh = (vh << 2) & 0x04040404;
+
+        v[l] = dpct::vectorized_binary<sycl::char4>(vll, vlh, dpct::sub_sat());
+    }
+
+    const int index_y = j * WARP_SIZE + (k*QR3_K) % WARP_SIZE;
+    return vec_dot_q3_K_q8_1_impl_mmq(v, &y_qs[index_y], scales, x_dmf[i * (WARP_SIZE/QI3_K) + i/QI3_K + kbx], y_df[index_y/QI8_1]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q4_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q4_K, sycl::half2 *tile_x_dm_q4_K,
+                    int *tile_x_sc_q4_K) {
+    (void)x_qh;
+
+    *x_ql = tile_x_ql_q4_K;
+    *x_dm = tile_x_dm_q4_K;
+    *x_sc = tile_x_sc_q4_K;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q4_K(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI4_K; // == 0 if QK_K == 256
+    const int kqsx = k % QI4_K; // == k if QK_K == 256
+
+    const block_q4_K * bx0 = (const block_q4_K *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbx;
+
+        x_ql[i * (WARP_SIZE + 1) + k] = get_int_from_uint8_aligned(bxi->qs, kqsx);
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI4_K; // == 1 if QK_K == 256
+    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI4_K) {
+        int i = (i0 + i_offset * QI4_K + k / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_K * bxi = bx0 + i*blocks_per_row + kbxd;
+
+#if QK_K == 256
+        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = bxi->dm;
+#else
+        x_dm[i * (WARP_SIZE/QI4_K) + i / QI4_K + kbxd] = {bxi->dm[0], bxi->dm[1]};
+#endif
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q4_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI4_K/8);
+
+        const int * scales = (const int *) bxi->scales;
+
+        const int ksc = k % (WARP_SIZE/8);
+
+        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
+        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
+        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
+    }
+}
+
+
+#define VDR_Q4_K_Q8_1_MMQ  8
+
+// contiguous u/y values
+static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_mmq(
+    const int *__restrict__ v, const int *__restrict__ u,
+    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
+    const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) {
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR4_K*VDR_Q4_K_Q8_1_MMQ/QI8_1; ++i) {
+        int sumi_d = 0;
+
+#pragma unroll
+        for (int j = 0; j < QI8_1; ++j) {
+            sumi_d = dpct::dp4a((v[j] >> (4 * i)) & 0x0F0F0F0F,
+                                u[i * QI8_1 + j], sumi_d); // SIMD dot product
+        }
+
+        const sycl::float2 ds8f =
+            ds8[i].convert<float, sycl::rounding_mode::automatic>();
+
+        sumf_d += ds8f.x() * (sc[i] * sumi_d);
+        sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val
+    }
+
+    const sycl::float2 dm4f =
+        dm4.convert<float, sycl::rounding_mode::automatic>();
+
+    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
+}
+
+
+static __dpct_inline__ float vec_dot_q4_K_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh;
+
+    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2*((k % 16) / 8);
+
+    const int index_y = j * WARP_SIZE + (QR4_K*k) % WARP_SIZE;
+    return vec_dot_q4_K_q8_1_impl_mmq(&x_ql[i * (WARP_SIZE + 1) + k], &y_qs[index_y], sc, sc+8,
+                                      x_dm[i * (WARP_SIZE/QI4_K) + i/QI4_K], &y_ds[index_y/QI8_1]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q5_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql_q5_K, sycl::half2 *tile_x_dm_q5_K,
+                    int *tile_x_sc_q5_K) {
+    (void)x_qh;
+
+    *x_ql = tile_x_ql_q5_K;
+    *x_dm = tile_x_dm_q5_K;
+    *x_sc = tile_x_sc_q5_K;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q5_K(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI5_K; // == 0 if QK_K == 256
+    const int kqsx = k % QI5_K; // == k if QK_K == 256
+
+    const block_q5_K * bx0 = (const block_q5_K *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbx;
+        const int ky = QR5_K*kqsx;
+
+        const int ql = get_int_from_uint8_aligned(bxi->qs, kqsx);
+        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
+        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
+
+        const int qh = get_int_from_uint8_aligned(bxi->qh, kqsx % (QI5_K/4));
+        const int qh0 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 0)) << 4) & 0x10101010;
+        const int qh1 = ((qh >> (2 * (kqsx / (QI5_K/4)) + 1)) << 4) & 0x10101010;
+
+        const int kq0 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + 0;
+        const int kq1 = ky - ky % (QI5_K/2) + k % (QI5_K/4) + (QI5_K/4);
+
+        x_ql[i * (2*WARP_SIZE + 1) + kq0] = ql0 | qh0;
+        x_ql[i * (2*WARP_SIZE + 1) + kq1] = ql1 | qh1;
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI5_K; // == 1 if QK_K == 256
+    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI5_K) {
+        int i = (i0 + i_offset * QI5_K + k / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_K * bxi = bx0 + i*blocks_per_row + kbxd;
+
+#if QK_K == 256
+        x_dm[i * (WARP_SIZE/QI5_K) + i / QI5_K + kbxd] = bxi->dm;
+#endif
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q5_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / (QI5_K/8);
+
+        const int * scales = (const int *) bxi->scales;
+
+        const int ksc = k % (WARP_SIZE/8);
+
+        // scale arrangement after the following two lines: sc0,...,sc3, sc4,...,sc7, m0,...,m3, m4,...,m8
+        int scales8 = (scales[(ksc%2) + (ksc!=0)] >> (4 * (ksc & (ksc/2)))) & 0x0F0F0F0F; // lower 4 bits
+        scales8    |= (scales[ksc/2]              >> (2 * (ksc % 2)))       & 0x30303030; // upper 2 bits
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + ksc] = scales8;
+    }
+}
+
+#define VDR_Q5_K_Q8_1_MMQ  8
+
+// contiguous u/y values
+static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_mmq(
+    const int *__restrict__ v, const int *__restrict__ u,
+    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
+    const sycl::half2 &dm4, const sycl::half2 *__restrict__ ds8) {
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR5_K*VDR_Q5_K_Q8_1_MMQ/QI8_1; ++i) {
+        int sumi_d = 0;
+
+#pragma unroll
+        for (int j = 0; j < QI8_1; ++j) {
+            sumi_d = dpct::dp4a(v[i * QI8_1 + j], u[i * QI8_1 + j],
+                                sumi_d); // SIMD dot product
+        }
+
+        const sycl::float2 ds8f =
+            ds8[i].convert<float, sycl::rounding_mode::automatic>();
+
+        sumf_d += ds8f.x() * (sc[i] * sumi_d);
+        sumf_m += ds8f.y() * m[i]; // sum of q8_1 block * q4_K min val
+    }
+
+    const sycl::float2 dm4f =
+        dm4.convert<float, sycl::rounding_mode::automatic>();
+
+    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
+}
+
+static __dpct_inline__ float vec_dot_q5_K_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh;
+
+    const uint8_t * sc = ((const uint8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/16]) + 2 * ((k % 16) / 8);
+
+    const int index_x = i * (QR5_K*WARP_SIZE + 1) +  QR5_K*k;
+    const int index_y = j * WARP_SIZE             + (QR5_K*k) % WARP_SIZE;
+    return vec_dot_q5_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, sc+8,
+                                      x_dm[i * (WARP_SIZE/QI5_K) + i/QI5_K], &y_ds[index_y/QI8_1]);
+}
+
+template <int mmq_y>
+static __dpct_inline__ void
+allocate_tiles_q6_K(int **x_ql, sycl::half2 **x_dm, int **x_qh, int **x_sc,
+                    int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_sc) {
+    (void)x_qh;
+
+    *x_ql = tile_x_ql;
+    *x_dm = tile_x_dm;
+    *x_sc = tile_x_sc;
+}
+
+template <int mmq_y, int nwarps, bool need_check>
+static __dpct_inline__ void
+load_tiles_q6_K(const void *__restrict__ vx, int *__restrict__ x_ql,
+                sycl::half2 *__restrict__ x_dm, int *__restrict__ x_qh,
+                int *__restrict__ x_sc, const int &i_offset, const int &i_max,
+                const int &k, const int &blocks_per_row) {
+    (void)x_qh;
+
+    GGML_SYCL_ASSUME(i_offset >= 0);
+    GGML_SYCL_ASSUME(i_offset <  nwarps);
+    GGML_SYCL_ASSUME(k >= 0);
+    GGML_SYCL_ASSUME(k <  WARP_SIZE);
+
+    const int kbx  = k / QI6_K; // == 0 if QK_K == 256
+    const int kqsx = k % QI6_K; // == k if QK_K == 256
+
+    const block_q6_K * bx0 = (const block_q6_K *) vx;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps) {
+        int i = i0 + i_offset;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbx;
+        const int ky = QR6_K*kqsx;
+
+        const int ql = get_int_from_uint8(bxi->ql, kqsx);
+        const int ql0 = (ql >> 0) & 0x0F0F0F0F;
+        const int ql1 = (ql >> 4) & 0x0F0F0F0F;
+
+        const int qh = get_int_from_uint8(bxi->qh, (QI6_K/4) * (kqsx / (QI6_K/2)) + kqsx % (QI6_K/4));
+        const int qh0 = ((qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4)))) << 4) & 0x30303030;
+        const int qh1 =  (qh >> (2 * ((kqsx % (QI6_K/2)) / (QI6_K/4))))       & 0x30303030;
+
+        const int kq0 = ky - ky % QI6_K + k % (QI6_K/2) + 0;
+        const int kq1 = ky - ky % QI6_K + k % (QI6_K/2) + (QI6_K/2);
+
+        x_ql[i * (2 * WARP_SIZE + 1) + kq0] =
+            dpct::vectorized_binary<sycl::char4>(ql0 | qh0, 0x20202020,
+                                                 dpct::sub_sat());
+        x_ql[i * (2 * WARP_SIZE + 1) + kq1] =
+            dpct::vectorized_binary<sycl::char4>(ql1 | qh1, 0x20202020,
+                                                 dpct::sub_sat());
+    }
+
+    const int blocks_per_tile_x_row = WARP_SIZE / QI6_K; // == 1 if QK_K == 256
+    const int kbxd = k % blocks_per_tile_x_row;          // == 0 if QK_K == 256
+    float * x_dmf = (float *) x_dm;
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * QI6_K) {
+        int i = (i0 + i_offset * QI6_K + k / blocks_per_tile_x_row) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q6_K * bxi = bx0 + i*blocks_per_row + kbxd;
+
+        x_dmf[i * (WARP_SIZE/QI6_K) + i / QI6_K + kbxd] = bxi->d;
+    }
+
+#pragma unroll
+    for (int i0 = 0; i0 < mmq_y; i0 += nwarps * 8) {
+        int i = (i0 + i_offset * 8 + k / (WARP_SIZE/8)) % mmq_y;
+
+        if (need_check) {
+            i = sycl::min(i, i_max);
+        }
+
+        const block_q6_K * bxi = bx0 + i*blocks_per_row + (k % (WARP_SIZE/8)) / 4;
+
+        x_sc[i * (WARP_SIZE/8) + i / 8 + k % (WARP_SIZE/8)] = get_int_from_int8(bxi->scales, k % (QI6_K/8));
+    }
+}
+
+#define VDR_Q6_K_Q8_1_MMQ  8
+
+// contiguous u/y values
+static __dpct_inline__ float
+vec_dot_q6_K_q8_1_impl_mmq(const int *__restrict__ v, const int *__restrict__ u,
+                           const int8_t *__restrict__ sc, const float &d6,
+                           const float *__restrict__ d8) {
+
+    float sumf_d = 0.0f;
+
+#pragma unroll
+    for (int i0 = 0; i0 < VDR_Q6_K_Q8_1_MMQ; i0 += 4) {
+        sycl::int2 sumi_d = {0, 0}; // 2 q6_K scales per q8_1 scale
+
+#pragma unroll
+        for (int i = i0; i < i0 + 2; ++i) {
+            sumi_d.x() = dpct::dp4a(v[2 * i + 0], u[2 * i + 0],
+                                    sumi_d.x()); // SIMD dot product
+            sumi_d.x() = dpct::dp4a(v[2 * i + 1], u[2 * i + 1],
+                                    sumi_d.x()); // SIMD dot product
+
+            sumi_d.y() = dpct::dp4a(v[2 * i + 4], u[2 * i + 4],
+                                    sumi_d.y()); // SIMD dot product
+            sumi_d.y() = dpct::dp4a(v[2 * i + 5], u[2 * i + 5],
+                                    sumi_d.y()); // SIMD dot product
+        }
+
+        sumf_d += d8[i0 / 4] *
+                  (sc[i0 / 2 + 0] * sumi_d.x() + sc[i0 / 2 + 1] * sumi_d.y());
+    }
+
+    return d6 * sumf_d;
+}
+
+static __dpct_inline__ float vec_dot_q6_K_q8_1_mul_mat(
+    const int *__restrict__ x_ql, const sycl::half2 *__restrict__ x_dm,
+    const int *__restrict__ x_qh, const int *__restrict__ x_sc,
+    const int *__restrict__ y_qs, const sycl::half2 *__restrict__ y_ds,
+    const int &i, const int &j, const int &k) {
+    (void)x_qh;
+
+    const float * x_dmf = (const float *) x_dm;
+    const float * y_df  = (const float *) y_ds;
+
+    const int8_t * sc = ((const int8_t *) &x_sc[i * (WARP_SIZE/8) + i/8 + k/8]);
+
+    const int index_x = i * (QR6_K*WARP_SIZE + 1) +  QR6_K*k;
+    const int index_y = j * WARP_SIZE             + (QR6_K*k) % WARP_SIZE;
+    return vec_dot_q6_K_q8_1_impl_mmq(&x_ql[index_x], &y_qs[index_y], sc, x_dmf[i * (WARP_SIZE/QI6_K) + i/QI6_K], &y_df[index_y/QI8_1]);
+}
+
+template <int qk, int qr, int qi, bool need_sum, typename block_q_t, int mmq_x,
+          int mmq_y, int nwarps, load_tiles_sycl_t load_tiles, int vdr,
+          vec_dot_q_mul_mat_sycl_t vec_dot>
+/*
+DPCT1110:8: The total declared local variable size in device function mul_mat_q
+exceeds 128 bytes and may cause high register pressure. Consult with your
+hardware vendor to find the total register size available and adjust the code,
+or use smaller sub-group size to avoid high register pressure.
+*/
+static __dpct_inline__ void
+mul_mat_q(const void *__restrict__ vx, const void *__restrict__ vy,
+          float *__restrict__ dst, const int ncols_x, const int nrows_x,
+          const int ncols_y, const int nrows_y, const int nrows_dst,
+          int *tile_x_ql, sycl::half2 *tile_x_dm, int *tile_x_qh,
+          int *tile_x_sc, const sycl::nd_item<3> &item_ct1, int *tile_y_qs,
+          sycl::half2 *tile_y_ds) {
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    const int blocks_per_row_x = ncols_x / qk;
+    const int blocks_per_col_y = nrows_y / QK8_1;
+    const int blocks_per_warp = WARP_SIZE / qi;
+
+    const int & ncols_dst = ncols_y;
+
+    const int row_dst_0 = item_ct1.get_group(2) * mmq_y;
+    const int & row_x_0 = row_dst_0;
+
+    const int col_dst_0 = item_ct1.get_group(1) * mmq_x;
+    const int & col_y_0 = col_dst_0;
+
+    float sum[mmq_y/WARP_SIZE][mmq_x/nwarps] = {{0.0f}};
+
+    for (int ib0 = 0; ib0 < blocks_per_row_x; ib0 += blocks_per_warp) {
+
+        load_tiles(x + row_x_0 * blocks_per_row_x + ib0, tile_x_ql, tile_x_dm,
+                   tile_x_qh, tile_x_sc, item_ct1.get_local_id(1),
+                   nrows_x - row_x_0 - 1, item_ct1.get_local_id(2),
+                   blocks_per_row_x);
+
+#pragma unroll
+        for (int ir = 0; ir < qr; ++ir) {
+            const int kqs = ir * WARP_SIZE + item_ct1.get_local_id(2);
+            const int kbxd = kqs / QI8_1;
+
+#pragma unroll
+            for (int i = 0; i < mmq_x; i += nwarps) {
+                const int col_y_eff = dpct::min(
+                    (unsigned int)(col_y_0 + item_ct1.get_local_id(1) + i),
+                    ncols_y - 1); // to prevent out-of-bounds memory accesses
+
+                const block_q8_1 * by0 = &y[col_y_eff*blocks_per_col_y + ib0 * (qk/QK8_1) + kbxd];
+
+                const int index_y = (item_ct1.get_local_id(1) + i) * WARP_SIZE +
+                                    kqs % WARP_SIZE;
+                tile_y_qs[index_y] = get_int_from_int8_aligned(
+                    by0->qs, item_ct1.get_local_id(2) % QI8_1);
+            }
+
+#pragma unroll
+            for (int ids0 = 0; ids0 < mmq_x; ids0 += nwarps * QI8_1) {
+                const int ids =
+                    (ids0 + item_ct1.get_local_id(1) * QI8_1 +
+                     item_ct1.get_local_id(2) / (WARP_SIZE / QI8_1)) %
+                    mmq_x;
+                const int kby = item_ct1.get_local_id(2) % (WARP_SIZE / QI8_1);
+                const int col_y_eff = sycl::min(col_y_0 + ids, ncols_y - 1);
+
+                // if the sum is not needed it's faster to transform the scale to f32 ahead of time
+                const sycl::half2 *dsi_src =
+                    &y[col_y_eff * blocks_per_col_y + ib0 * (qk / QK8_1) +
+                       ir * (WARP_SIZE / QI8_1) + kby]
+                         .ds;
+                sycl::half2 *dsi_dst =
+                    &tile_y_ds[ids * (WARP_SIZE / QI8_1) + kby];
+                if (need_sum) {
+                    *dsi_dst = *dsi_src;
+                } else {
+                    float * dfi_dst = (float *) dsi_dst;
+                    *dfi_dst = (*dsi_src)[0];
+                }
+            }
+
+            /*
+            DPCT1118:9: SYCL group functions and algorithms must be encountered
+            in converged control flow. You may need to adjust the code.
+            */
+            /*
+            DPCT1065:56: Consider replacing sycl::nd_item::barrier() with
+            sycl::nd_item::barrier(sycl::access::fence_space::local_space) for
+            better performance if there is no access to global memory.
+            */
+            item_ct1.barrier();
+
+// #pragma unroll // unrolling this loop causes too much register pressure
+            for (int k = ir*WARP_SIZE/qr; k < (ir+1)*WARP_SIZE/qr; k += vdr) {
+#pragma unroll
+                for (int j = 0; j < mmq_x; j += nwarps) {
+#pragma unroll
+                    for (int i = 0; i < mmq_y; i += WARP_SIZE) {
+                        sum[i / WARP_SIZE][j / nwarps] += vec_dot(
+                            tile_x_ql, tile_x_dm, tile_x_qh, tile_x_sc,
+                            tile_y_qs, tile_y_ds, item_ct1.get_local_id(2) + i,
+                            item_ct1.get_local_id(1) + j, k);
+                    }
+                }
+            }
+
+            /*
+            DPCT1118:10: SYCL group functions and algorithms must be encountered
+            in converged control flow. You may need to adjust the code.
+            */
+            /*
+            DPCT1065:57: Consider replacing sycl::nd_item::barrier() with
+            sycl::nd_item::barrier(sycl::access::fence_space::local_space) for
+            better performance if there is no access to global memory.
+            */
+            item_ct1.barrier();
+        }
+    }
+
+#pragma unroll
+    for (int j = 0; j < mmq_x; j += nwarps) {
+        const int col_dst = col_dst_0 + j + item_ct1.get_local_id(1);
+
+        if (col_dst >= ncols_dst) {
+            return;
+        }
+
+#pragma unroll
+        for (int i = 0; i < mmq_y; i += WARP_SIZE) {
+            const int row_dst = row_dst_0 + item_ct1.get_local_id(2) + i;
+
+            if (row_dst >= nrows_dst) {
+                continue;
+            }
+
+            dst[col_dst*nrows_dst + row_dst] = sum[i/WARP_SIZE][j/nwarps];
+        }
+    }
+}
+
+#define  MMQ_X_Q4_0_RDNA2  64
+#define  MMQ_Y_Q4_0_RDNA2  128
+#define NWARPS_Q4_0_RDNA2  8
+#define  MMQ_X_Q4_0_RDNA1  64
+#define  MMQ_Y_Q4_0_RDNA1  64
+#define NWARPS_Q4_0_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q4_0_AMPERE 4
+#define  MMQ_Y_Q4_0_AMPERE 32
+#define NWARPS_Q4_0_AMPERE 4
+#else
+#define  MMQ_X_Q4_0_AMPERE 64
+#define  MMQ_Y_Q4_0_AMPERE 128
+#define NWARPS_Q4_0_AMPERE 4
+#endif
+#define  MMQ_X_Q4_0_PASCAL 64
+#define  MMQ_Y_Q4_0_PASCAL 64
+#define NWARPS_Q4_0_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q4_0(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_0, float *tile_x_d_q4_0,
+    int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+
+    const int mmq_x  =  MMQ_X_Q4_0_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q4_0_AMPERE;
+    const int nwarps = NWARPS_Q4_0_AMPERE;
+    allocate_tiles_q4_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_qs_q4_0, tile_x_d_q4_0);
+    mul_mat_q<QK4_0, QR4_0, QI4_0, true, block_q4_0, mmq_x, mmq_y, nwarps,
+              load_tiles_q4_0<mmq_y, nwarps, need_check>, VDR_Q4_0_Q8_1_MMQ,
+              vec_dot_q4_0_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q4_1_RDNA2  64
+#define  MMQ_Y_Q4_1_RDNA2  128
+#define NWARPS_Q4_1_RDNA2  8
+#define  MMQ_X_Q4_1_RDNA1  64
+#define  MMQ_Y_Q4_1_RDNA1  64
+#define NWARPS_Q4_1_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q4_1_AMPERE 4
+#define  MMQ_Y_Q4_1_AMPERE 32
+#define NWARPS_Q4_1_AMPERE 4
+#else
+#define  MMQ_X_Q4_1_AMPERE 64
+#define  MMQ_Y_Q4_1_AMPERE 128
+#define NWARPS_Q4_1_AMPERE 4
+#endif
+#define  MMQ_X_Q4_1_PASCAL 64
+#define  MMQ_Y_Q4_1_PASCAL 64
+#define NWARPS_Q4_1_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q4_1(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q4_1,
+    sycl::half2 *tile_x_dm_q4_1, int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q4_1_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q4_1_AMPERE;
+    const int nwarps = NWARPS_Q4_1_AMPERE;
+    allocate_tiles_q4_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_qs_q4_1, tile_x_dm_q4_1);
+    mul_mat_q<QK4_1, QR4_1, QI4_1, true, block_q4_1, mmq_x, mmq_y, nwarps,
+              load_tiles_q4_1<mmq_y, nwarps, need_check>, VDR_Q4_1_Q8_1_MMQ,
+              vec_dot_q4_1_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q5_0_RDNA2  64
+#define  MMQ_Y_Q5_0_RDNA2  128
+#define NWARPS_Q5_0_RDNA2  8
+#define  MMQ_X_Q5_0_RDNA1  64
+#define  MMQ_Y_Q5_0_RDNA1  64
+#define NWARPS_Q5_0_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q5_0_AMPERE 4
+#define  MMQ_Y_Q5_0_AMPERE 32
+#define NWARPS_Q5_0_AMPERE 4
+#else
+#define  MMQ_X_Q5_0_AMPERE 128
+#define  MMQ_Y_Q5_0_AMPERE 64
+#define NWARPS_Q5_0_AMPERE 4
+#endif
+#define  MMQ_X_Q5_0_PASCAL 64
+#define  MMQ_Y_Q5_0_PASCAL 64
+#define NWARPS_Q5_0_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q5_0(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_0, float *tile_x_d_q5_0,
+    int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q5_0_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q5_0_AMPERE;
+    const int nwarps = NWARPS_Q5_0_AMPERE;
+    allocate_tiles_q5_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q5_0, tile_x_d_q5_0);
+    mul_mat_q<QK5_0, QR5_0, QI5_0, false, block_q5_0, mmq_x, mmq_y, nwarps,
+              load_tiles_q5_0<mmq_y, nwarps, need_check>, VDR_Q5_0_Q8_1_MMQ,
+              vec_dot_q5_0_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q5_1_RDNA2  64
+#define  MMQ_Y_Q5_1_RDNA2  128
+#define NWARPS_Q5_1_RDNA2  8
+#define  MMQ_X_Q5_1_RDNA1  64
+#define  MMQ_Y_Q5_1_RDNA1  64
+#define NWARPS_Q5_1_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q5_1_AMPERE 4
+#define  MMQ_Y_Q5_1_AMPERE 32
+#define NWARPS_Q5_1_AMPERE 4
+#else
+#define  MMQ_X_Q5_1_AMPERE 128
+#define  MMQ_Y_Q5_1_AMPERE 64
+#define NWARPS_Q5_1_AMPERE 4
+#endif
+#define  MMQ_X_Q5_1_PASCAL 64
+#define  MMQ_Y_Q5_1_PASCAL 64
+#define NWARPS_Q5_1_PASCAL 8
+
+template <bool need_check> static void
+mul_mat_q5_1(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_1,
+    sycl::half2 *tile_x_dm_q5_1, int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q5_1_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q5_1_AMPERE;
+    const int nwarps = NWARPS_Q5_1_AMPERE;
+    allocate_tiles_q5_1<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q5_1, tile_x_dm_q5_1);
+    mul_mat_q<QK5_1, QR5_1, QI5_1, true, block_q5_1, mmq_x, mmq_y, nwarps,
+              load_tiles_q5_1<mmq_y, nwarps, need_check>, VDR_Q5_1_Q8_1_MMQ,
+              vec_dot_q5_1_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q8_0_RDNA2  64
+#define  MMQ_Y_Q8_0_RDNA2  128
+#define NWARPS_Q8_0_RDNA2  8
+#define  MMQ_X_Q8_0_RDNA1  64
+#define  MMQ_Y_Q8_0_RDNA1  64
+#define NWARPS_Q8_0_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q8_0_AMPERE 4
+#define  MMQ_Y_Q8_0_AMPERE 32
+#define NWARPS_Q8_0_AMPERE 4
+#else
+#define  MMQ_X_Q8_0_AMPERE 128
+#define  MMQ_Y_Q8_0_AMPERE 64
+#define NWARPS_Q8_0_AMPERE 4
+#endif
+#define  MMQ_X_Q8_0_PASCAL 64
+#define  MMQ_Y_Q8_0_PASCAL 64
+#define NWARPS_Q8_0_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q8_0(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_qs_q8_0, float *tile_x_d_q8_0,
+    int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q8_0_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q8_0_AMPERE;
+    const int nwarps = NWARPS_Q8_0_AMPERE;
+    allocate_tiles_q8_0<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_qs_q8_0, tile_x_d_q8_0);
+    mul_mat_q<QK8_0, QR8_0, QI8_0, false, block_q8_0, mmq_x, mmq_y, nwarps,
+              load_tiles_q8_0<mmq_y, nwarps, need_check>, VDR_Q8_0_Q8_1_MMQ,
+              vec_dot_q8_0_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q2_K_RDNA2  64
+#define  MMQ_Y_Q2_K_RDNA2  128
+#define NWARPS_Q2_K_RDNA2  8
+#define  MMQ_X_Q2_K_RDNA1  128
+#define  MMQ_Y_Q2_K_RDNA1  32
+#define NWARPS_Q2_K_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q2_K_AMPERE 4
+#define  MMQ_Y_Q2_K_AMPERE 32
+#define NWARPS_Q2_K_AMPERE 4
+#else
+#define  MMQ_X_Q2_K_AMPERE 64
+#define  MMQ_Y_Q2_K_AMPERE 128
+#define NWARPS_Q2_K_AMPERE 4
+#endif
+#define  MMQ_X_Q2_K_PASCAL 64
+#define  MMQ_Y_Q2_K_PASCAL 64
+#define NWARPS_Q2_K_PASCAL 8
+
+template <bool need_check> static void
+mul_mat_q2_K(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q2_K,
+    sycl::half2 *tile_x_dm_q2_K, int *tile_x_sc_q2_K, int *tile_y_qs,
+    sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q2_K_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q2_K_AMPERE;
+    const int nwarps = NWARPS_Q2_K_AMPERE;
+    allocate_tiles_q2_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q2_K, tile_x_dm_q2_K, tile_x_sc_q2_K);
+    mul_mat_q<QK_K, QR2_K, QI2_K, false, block_q2_K, mmq_x, mmq_y, nwarps,
+              load_tiles_q2_K<mmq_y, nwarps, need_check>, VDR_Q2_K_Q8_1_MMQ,
+              vec_dot_q2_K_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q3_K_RDNA2  128
+#define  MMQ_Y_Q3_K_RDNA2  64
+#define NWARPS_Q3_K_RDNA2  8
+#define  MMQ_X_Q3_K_RDNA1  32
+#define  MMQ_Y_Q3_K_RDNA1  128
+#define NWARPS_Q3_K_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q3_K_AMPERE 4
+#define  MMQ_Y_Q3_K_AMPERE 32
+#define NWARPS_Q3_K_AMPERE 4
+#else
+#define  MMQ_X_Q3_K_AMPERE 128
+#define  MMQ_Y_Q3_K_AMPERE 128
+#define NWARPS_Q3_K_AMPERE 4
+#endif
+#define  MMQ_X_Q3_K_PASCAL 64
+#define  MMQ_Y_Q3_K_PASCAL 64
+#define NWARPS_Q3_K_PASCAL 8
+
+template <bool need_check> static void
+mul_mat_q3_K(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q3_K,
+    sycl::half2 *tile_x_dm_q3_K, int *tile_x_qh_q3_K, int *tile_x_sc_q3_K,
+    int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q3_K_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q3_K_AMPERE;
+    const int nwarps = NWARPS_Q3_K_AMPERE;
+    allocate_tiles_q3_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q3_K, tile_x_dm_q3_K, tile_x_qh_q3_K,
+                               tile_x_sc_q3_K);
+    mul_mat_q<QK_K, QR3_K, QI3_K, false, block_q3_K, mmq_x, mmq_y, nwarps,
+              load_tiles_q3_K<mmq_y, nwarps, need_check>, VDR_Q3_K_Q8_1_MMQ,
+              vec_dot_q3_K_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q4_K_RDNA2  64
+#define  MMQ_Y_Q4_K_RDNA2  128
+#define NWARPS_Q4_K_RDNA2  8
+#define  MMQ_X_Q4_K_RDNA1  32
+#define  MMQ_Y_Q4_K_RDNA1  64
+#define NWARPS_Q4_K_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q4_K_AMPERE 4
+#define  MMQ_Y_Q4_K_AMPERE 32
+#define NWARPS_Q4_K_AMPERE 4
+#else
+#define  MMQ_X_Q4_K_AMPERE 64
+#define  MMQ_Y_Q4_K_AMPERE 128
+#define NWARPS_Q4_K_AMPERE 4
+#endif
+#define  MMQ_X_Q4_K_PASCAL 64
+#define  MMQ_Y_Q4_K_PASCAL 64
+#define NWARPS_Q4_K_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q4_K(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q4_K,
+    sycl::half2 *tile_x_dm_q4_K, int *tile_x_sc_q4_K, int *tile_y_qs,
+    sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q4_K_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q4_K_AMPERE;
+    const int nwarps = NWARPS_Q4_K_AMPERE;
+    allocate_tiles_q4_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q4_K, tile_x_dm_q4_K, tile_x_sc_q4_K);
+    mul_mat_q<QK_K, QR4_K, QI4_K, true, block_q4_K, mmq_x, mmq_y, nwarps,
+              load_tiles_q4_K<mmq_y, nwarps, need_check>, VDR_Q4_K_Q8_1_MMQ,
+              vec_dot_q4_K_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q5_K_RDNA2  64
+#define  MMQ_Y_Q5_K_RDNA2  128
+#define NWARPS_Q5_K_RDNA2  8
+#define  MMQ_X_Q5_K_RDNA1  32
+#define  MMQ_Y_Q5_K_RDNA1  64
+#define NWARPS_Q5_K_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q5_K_AMPERE 4
+#define  MMQ_Y_Q5_K_AMPERE 32
+#define NWARPS_Q5_K_AMPERE 4
+#else
+#define  MMQ_X_Q5_K_AMPERE 64
+#define  MMQ_Y_Q5_K_AMPERE 128
+#define NWARPS_Q5_K_AMPERE 4
+#endif
+#define  MMQ_X_Q5_K_PASCAL 64
+#define  MMQ_Y_Q5_K_PASCAL 64
+#define NWARPS_Q5_K_PASCAL 8
+
+template <bool need_check> static void
+mul_mat_q5_K(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql_q5_K,
+    sycl::half2 *tile_x_dm_q5_K, int *tile_x_sc_q5_K, int *tile_y_qs,
+    sycl::half2 *tile_y_ds) {
+    int   * tile_x_ql = nullptr;
+    sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q5_K_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q5_K_AMPERE;
+    const int nwarps = NWARPS_Q5_K_AMPERE;
+    allocate_tiles_q5_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql_q5_K, tile_x_dm_q5_K, tile_x_sc_q5_K);
+    mul_mat_q<QK_K, QR5_K, QI5_K, true, block_q5_K, mmq_x, mmq_y, nwarps,
+              load_tiles_q5_K<mmq_y, nwarps, need_check>, VDR_Q5_K_Q8_1_MMQ,
+              vec_dot_q5_K_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+#define  MMQ_X_Q6_K_RDNA2  64
+#define  MMQ_Y_Q6_K_RDNA2  128
+#define NWARPS_Q6_K_RDNA2  8
+#define  MMQ_X_Q6_K_RDNA1  32
+#define  MMQ_Y_Q6_K_RDNA1  64
+#define NWARPS_Q6_K_RDNA1  8
+#if defined(SYCL_USE_XMX)
+#define  MMQ_X_Q6_K_AMPERE 4
+#define  MMQ_Y_Q6_K_AMPERE 32
+#define NWARPS_Q6_K_AMPERE 4
+#else
+#define  MMQ_X_Q6_K_AMPERE 64
+#define  MMQ_Y_Q6_K_AMPERE 64
+#define NWARPS_Q6_K_AMPERE 4
+#endif
+#define  MMQ_X_Q6_K_PASCAL 64
+#define  MMQ_Y_Q6_K_PASCAL 64
+#define NWARPS_Q6_K_PASCAL 8
+
+template <bool need_check> static void
+    mul_mat_q6_K(
+    const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst,
+    const int ncols_x, const int nrows_x, const int ncols_y, const int nrows_y, const int nrows_dst,
+    const sycl::nd_item<3> &item_ct1, int *tile_x_ql, sycl::half2 *tile_x_dm,
+    int *tile_x_sc, int *tile_y_qs, sycl::half2 *tile_y_ds) {
+    // int   * tile_x_ql = nullptr;
+    // sycl::half2 *tile_x_dm = nullptr;
+    int   * tile_x_qh = nullptr;
+    // int   * tile_x_sc = nullptr;
+
+//sycl_todo: change according to hardware
+    const int mmq_x  =  MMQ_X_Q6_K_AMPERE;
+    const int mmq_y  =  MMQ_Y_Q6_K_AMPERE;
+    const int nwarps = NWARPS_Q6_K_AMPERE;
+    allocate_tiles_q6_K<mmq_y>(&tile_x_ql, &tile_x_dm, &tile_x_qh, &tile_x_sc,
+                               tile_x_ql, tile_x_dm, tile_x_sc);
+    mul_mat_q<QK_K, QR6_K, QI6_K, false, block_q6_K, mmq_x, mmq_y, nwarps,
+              load_tiles_q6_K<mmq_y, nwarps, need_check>, VDR_Q6_K_Q8_1_MMQ,
+              vec_dot_q6_K_q8_1_mul_mat>(
+        vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y, nrows_dst, tile_x_ql,
+        tile_x_dm, tile_x_qh, tile_x_sc, item_ct1, tile_y_qs, tile_y_ds);
+}
+
+static void ggml_mul_mat_q4_0_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q4_0_RDNA2;
+        mmq_y  =  MMQ_Y_Q4_0_RDNA2;
+        nwarps = NWARPS_Q4_0_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q4_0_RDNA1;
+        mmq_y  =  MMQ_Y_Q4_0_RDNA1;
+        nwarps = NWARPS_Q4_0_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q4_0_AMPERE;
+        mmq_y  =  MMQ_Y_Q4_0_AMPERE;
+        nwarps = NWARPS_Q4_0_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q4_0_PASCAL;
+        mmq_y  =  MMQ_Y_Q4_0_PASCAL;
+        nwarps = NWARPS_Q4_0_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:20: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q4_0_acc_ct1.get_pointer(),
+                            tile_x_d_q4_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:21: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q4_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q4_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_0) + mmq_y / QI4_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q4_0_acc_ct1.get_pointer(),
+                            tile_x_d_q4_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q4_1_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q4_1_RDNA2;
+        mmq_y  =  MMQ_Y_Q4_1_RDNA2;
+        nwarps = NWARPS_Q4_1_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q4_1_RDNA1;
+        mmq_y  =  MMQ_Y_Q4_1_RDNA1;
+        nwarps = NWARPS_Q4_1_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q4_1_AMPERE;
+        mmq_y  =  MMQ_Y_Q4_1_AMPERE;
+        nwarps = NWARPS_Q4_1_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q4_1_PASCAL;
+        mmq_y  =  MMQ_Y_Q4_1_PASCAL;
+        nwarps = NWARPS_Q4_1_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:22: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_1<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q4_1_acc_ct1.get_pointer(),
+                            tile_x_dm_q4_1_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:23: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q4_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + +mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_1) + mmq_y / QI4_1),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_1<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q4_1_acc_ct1.get_pointer(),
+                            tile_x_dm_q4_1_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q5_0_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q5_0_RDNA2;
+        mmq_y  =  MMQ_Y_Q5_0_RDNA2;
+        nwarps = NWARPS_Q5_0_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q5_0_RDNA1;
+        mmq_y  =  MMQ_Y_Q5_0_RDNA1;
+        nwarps = NWARPS_Q5_0_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q5_0_AMPERE;
+        mmq_y  =  MMQ_Y_Q5_0_AMPERE;
+        nwarps = NWARPS_Q5_0_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q5_0_PASCAL;
+        mmq_y  =  MMQ_Y_Q5_0_PASCAL;
+        nwarps = NWARPS_Q5_0_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:24: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_0_acc_ct1.get_pointer(),
+                            tile_x_d_q5_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:25: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q5_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_0) + mmq_y / QI5_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_0_acc_ct1.get_pointer(),
+                            tile_x_d_q5_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q5_1_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q5_1_RDNA2;
+        mmq_y  =  MMQ_Y_Q5_1_RDNA2;
+        nwarps = NWARPS_Q5_1_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q5_1_RDNA1;
+        mmq_y  =  MMQ_Y_Q5_1_RDNA1;
+        nwarps = NWARPS_Q5_1_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q5_1_AMPERE;
+        mmq_y  =  MMQ_Y_Q5_1_AMPERE;
+        nwarps = NWARPS_Q5_1_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q5_1_PASCAL;
+        mmq_y  =  MMQ_Y_Q5_1_PASCAL;
+        nwarps = NWARPS_Q5_1_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:26: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_1<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_1_acc_ct1.get_pointer(),
+                            tile_x_dm_q5_1_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:27: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_1_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_1) + mmq_y / QI5_1),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_1<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_1_acc_ct1.get_pointer(),
+                            tile_x_dm_q5_1_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q8_0_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q8_0_RDNA2;
+        mmq_y  =  MMQ_Y_Q8_0_RDNA2;
+        nwarps = NWARPS_Q8_0_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q8_0_RDNA1;
+        mmq_y  =  MMQ_Y_Q8_0_RDNA1;
+        nwarps = NWARPS_Q8_0_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q8_0_AMPERE;
+        mmq_y  =  MMQ_Y_Q8_0_AMPERE;
+        nwarps = NWARPS_Q8_0_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q8_0_PASCAL;
+        mmq_y  =  MMQ_Y_Q8_0_PASCAL;
+        nwarps = NWARPS_Q8_0_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:28: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q8_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q8_0_acc_ct1.get_pointer(),
+                            tile_x_d_q8_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:29: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_qs_q8_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<float, 1> tile_x_d_q8_0_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI8_0) + mmq_y / QI8_0),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q8_0<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_qs_q8_0_acc_ct1.get_pointer(),
+                            tile_x_d_q8_0_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q2_K_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q2_K_RDNA2;
+        mmq_y  =  MMQ_Y_Q2_K_RDNA2;
+        nwarps = NWARPS_Q2_K_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q2_K_RDNA1;
+        mmq_y  =  MMQ_Y_Q2_K_RDNA1;
+        nwarps = NWARPS_Q2_K_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q2_K_AMPERE;
+        mmq_y  =  MMQ_Y_Q2_K_AMPERE;
+        nwarps = NWARPS_Q2_K_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q2_K_PASCAL;
+        mmq_y  =  MMQ_Y_Q2_K_PASCAL;
+        nwarps = NWARPS_Q2_K_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:30: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q2_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q2_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q2_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q2_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:31: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI2_K) + mmq_y / QI2_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q2_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q2_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q2_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q2_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q2_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q3_K_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+#if QK_K == 256
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q3_K_RDNA2;
+        mmq_y  =  MMQ_Y_Q3_K_RDNA2;
+        nwarps = NWARPS_Q3_K_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q3_K_RDNA1;
+        mmq_y  =  MMQ_Y_Q3_K_RDNA1;
+        nwarps = NWARPS_Q3_K_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q3_K_AMPERE;
+        mmq_y  =  MMQ_Y_Q3_K_AMPERE;
+        nwarps = NWARPS_Q3_K_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q3_K_PASCAL;
+        mmq_y  =  MMQ_Y_Q3_K_PASCAL;
+        nwarps = NWARPS_Q3_K_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:32: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q3_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q3_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q3_K_acc_ct1.get_pointer(),
+                            tile_x_qh_q3_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q3_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:33: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI3_K) + mmq_y / QI3_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_qh_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 2) + mmq_y / 2), cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q3_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 4) + mmq_y / 4), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q3_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q3_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q3_K_acc_ct1.get_pointer(),
+                            tile_x_qh_q3_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q3_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+#endif
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q4_K_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q4_K_RDNA2;
+        mmq_y  =  MMQ_Y_Q4_K_RDNA2;
+        nwarps = NWARPS_Q4_K_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q4_K_RDNA1;
+        mmq_y  =  MMQ_Y_Q4_K_RDNA1;
+        nwarps = NWARPS_Q4_K_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q4_K_AMPERE;
+        mmq_y  =  MMQ_Y_Q4_K_AMPERE;
+        nwarps = NWARPS_Q4_K_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q4_K_PASCAL;
+        mmq_y  =  MMQ_Y_Q4_K_PASCAL;
+        nwarps = NWARPS_Q4_K_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:34: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q4_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q4_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q4_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:35: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI4_K) + mmq_y / QI4_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q4_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q4_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q4_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q4_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q4_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q5_K_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q5_K_RDNA2;
+        mmq_y  =  MMQ_Y_Q5_K_RDNA2;
+        nwarps = NWARPS_Q5_K_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q5_K_RDNA1;
+        mmq_y  =  MMQ_Y_Q5_K_RDNA1;
+        nwarps = NWARPS_Q5_K_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q5_K_AMPERE;
+        mmq_y  =  MMQ_Y_Q5_K_AMPERE;
+        nwarps = NWARPS_Q5_K_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q5_K_PASCAL;
+        mmq_y  =  MMQ_Y_Q5_K_PASCAL;
+        nwarps = NWARPS_Q5_K_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:36: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q5_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q5_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:37: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI5_K) + mmq_y / QI5_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_q5_K_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q5_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_q5_K_acc_ct1.get_pointer(),
+                            tile_x_dm_q5_K_acc_ct1.get_pointer(),
+                            tile_x_sc_q5_K_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+static void ggml_mul_mat_q6_K_q8_1_sycl(const void *vx, const void *vy,
+                                        float *dst, const int ncols_x,
+                                        const int nrows_x, const int ncols_y,
+                                        const int nrows_y, const int nrows_dst,
+                                        dpct::queue_ptr stream) try {
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+    const int compute_capability = ggml_sycl_info().devices[id].cc;
+
+    int mmq_x, mmq_y, nwarps;
+    if (compute_capability >= VER_GEN13) {
+        mmq_x  =  MMQ_X_Q6_K_RDNA2;
+        mmq_y  =  MMQ_Y_Q6_K_RDNA2;
+        nwarps = NWARPS_Q6_K_RDNA2;
+    } else if (compute_capability >= VER_GEN12) {
+        mmq_x  =  MMQ_X_Q6_K_RDNA1;
+        mmq_y  =  MMQ_Y_Q6_K_RDNA1;
+        nwarps = NWARPS_Q6_K_RDNA1;
+    } else if (compute_capability >= VER_GEN9) {
+        mmq_x  =  MMQ_X_Q6_K_AMPERE;
+        mmq_y  =  MMQ_Y_Q6_K_AMPERE;
+        nwarps = NWARPS_Q6_K_AMPERE;
+    } else if (compute_capability >= VER_4VEC) {
+        mmq_x  =  MMQ_X_Q6_K_PASCAL;
+        mmq_y  =  MMQ_Y_Q6_K_PASCAL;
+        nwarps = NWARPS_Q6_K_PASCAL;
+    } else {
+        GGML_ASSERT(false);
+    }
+
+    const int block_num_x = (nrows_x + mmq_y - 1) / mmq_y;
+    const int block_num_y = (ncols_y + mmq_x - 1) / mmq_x;
+    const sycl::range<3> block_nums(1, block_num_y, block_num_x);
+    const sycl::range<3> block_dims(1, nwarps, WARP_SIZE);
+
+    if (nrows_x % mmq_y == 0) {
+        const bool need_check = false;
+        /*
+        DPCT1049:38: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q6_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_acc_ct1.get_pointer(),
+                            tile_x_dm_acc_ct1.get_pointer(),
+                            tile_x_sc_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    } else {
+        const bool need_check = true;
+        /*
+        DPCT1049:39: The work-group size passed to the SYCL kernel may exceed
+        the limit. To get the device limit, query
+        info::device::max_work_group_size. Adjust the work-group size if needed.
+        */
+        {
+            dpct::has_capability_or_fail(stream->get_device(),
+                                         {sycl::aspect::fp16});
+
+            stream->submit([&](sycl::handler &cgh) {
+                sycl::local_accessor<int, 1> tile_x_ql_acc_ct1(
+                    sycl::range<1>(mmq_y * (2 * WARP_SIZE) + mmq_y), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_x_dm_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / QI6_K) + mmq_y / QI6_K),
+                    cgh);
+                sycl::local_accessor<int, 1> tile_x_sc_acc_ct1(
+                    sycl::range<1>(mmq_y * (WARP_SIZE / 8) + mmq_y / 8), cgh);
+                sycl::local_accessor<int, 1> tile_y_qs_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE), cgh);
+                sycl::local_accessor<sycl::half2, 1> tile_y_ds_acc_ct1(
+                    sycl::range<1>(mmq_x * WARP_SIZE / QI8_1), cgh);
+
+                cgh.parallel_for(
+                    sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                    [=](sycl::nd_item<3> item_ct1) {
+                        mul_mat_q6_K<need_check>(
+                            vx, vy, dst, ncols_x, nrows_x, ncols_y, nrows_y,
+                            nrows_dst, item_ct1,
+                            tile_x_ql_acc_ct1.get_pointer(),
+                            tile_x_dm_acc_ct1.get_pointer(),
+                            tile_x_sc_acc_ct1.get_pointer(),
+                            tile_y_qs_acc_ct1.get_pointer(),
+                            tile_y_ds_acc_ct1.get_pointer());
+                    });
+            });
+        }
+    }
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
+
+void ggml_sycl_op_mul_mat_q(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
+    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
+    const int64_t src1_ncols, const int64_t src1_padded_row_size,
+    const dpct::queue_ptr &stream) try {
+
+    const int64_t ne00 = src0->ne[0];
+
+    const int64_t ne10 = src1->ne[0];
+    GGML_ASSERT(ne10 % QK8_1 == 0);
+
+    const int64_t ne0 = dst->ne[0];
+
+    const int64_t row_diff = row_high - row_low;
+
+    int device_id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(device_id = get_current_device_id()));
+
+    // the main device has a larger memory buffer to hold the results from all GPUs
+    // nrows_dst == nrows of the matrix that the dequantize_mul_mat kernel writes into
+    const int64_t nrows_dst = device_id == ctx.device ? ne0 : row_diff;
+
+    switch (src0->type) {
+        case GGML_TYPE_Q4_0:
+            ggml_mul_mat_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q4_1:
+            ggml_mul_mat_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q5_0:
+            ggml_mul_mat_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q5_1:
+            ggml_mul_mat_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q8_0:
+            ggml_mul_mat_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q2_K:
+            ggml_mul_mat_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q3_K:
+            ggml_mul_mat_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q4_K:
+            ggml_mul_mat_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q5_K:
+            ggml_mul_mat_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        case GGML_TYPE_Q6_K:
+            ggml_mul_mat_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, src1_ncols, src1_padded_row_size, nrows_dst, stream);
+            break;
+        default:
+            GGML_ASSERT(false);
+            break;
+    }
+
+    (void) src1;
+    (void) dst;
+    (void) src1_ddf_i;
+}
+catch (sycl::exception const &exc) {
+  std::cerr << exc.what() << "Exception caught at file:" << __FILE__
+            << ", line:" << __LINE__ << std::endl;
+  std::exit(1);
+}
diff --git a/ggml-sycl/mmq.hpp b/ggml-sycl/mmq.hpp
new file mode 100644
index 000000000..3f5297aaa
--- /dev/null
+++ b/ggml-sycl/mmq.hpp
@@ -0,0 +1,33 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_MMQ_HPP
+#define GGML_SYCL_MMQ_HPP
+
+#include "common.hpp"
+
+void ggml_sycl_op_mul_mat_q(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor* src0,
+    const ggml_tensor* src1,
+    ggml_tensor* dst,
+    const char* src0_dd_i,
+    const float* src1_ddf_i,
+    const char* src1_ddq_i,
+    float* dst_dd_i,
+    const int64_t row_low,
+    const int64_t row_high,
+    const int64_t src1_ncols,
+    const int64_t src1_padded_row_size,
+    const dpct::queue_ptr& stream);
+
+#endif // GGML_SYCL_MMQ_HPP
diff --git a/ggml-sycl/mmvq.cpp b/ggml-sycl/mmvq.cpp
new file mode 100644
index 000000000..23227649e
--- /dev/null
+++ b/ggml-sycl/mmvq.cpp
@@ -0,0 +1,1024 @@
+#include "mmvq.hpp"
+#include "vecdotq.hpp"
+
+
+template <int qk, int qi, typename block_q_t, int vdr, vec_dot_q_sycl_t vec_dot_q_sycl>
+static void mul_mat_vec_q(const void * __restrict__ vx, const void * __restrict__ vy, float * __restrict__ dst, const int ncols, const int nrows,
+                          const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_q_sycl(&x[ibx], &y[iby], iqs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq2_xxs_q8_1(const void *__restrict__ vx,
+                                       const void *__restrict__ vy,
+                                       float *__restrict__ dst, const int ncols,
+                                       const int nrows,
+                                       const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq2_xxs_q8_1(&x[ibx], &y[iby], iqs, iq2xxs_grid, ksigns_iq2xs, kmask_iq2xs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq2_xs_q8_1(const void *__restrict__ vx,
+                                      const void *__restrict__ vy,
+                                      float *__restrict__ dst, const int ncols,
+                                      const int nrows,
+                                      const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq2_xs_q8_1(&x[ibx], &y[iby], iqs, iq2xs_grid, ksigns64);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq2_s_q8_1(const void *__restrict__ vx,
+                                     const void *__restrict__ vy,
+                                     float *__restrict__ dst, const int ncols,
+                                     const int nrows,
+                                     const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq2_s_q8_1(&x[ibx], &y[iby], iqs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq3_xxs_q8_1(const void *__restrict__ vx,
+                                       const void *__restrict__ vy,
+                                       float *__restrict__ dst, const int ncols,
+                                       const int nrows,
+                                       const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq3_xxs_q8_1(&x[ibx], &y[iby], iqs, iq3xxs_grid, ksigns64);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq3_s_q8_1(const void *__restrict__ vx,
+                                     const void *__restrict__ vy,
+                                     float *__restrict__ dst, const int ncols,
+                                     const int nrows,
+                                     const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq3_s_q8_1(&x[ibx], &y[iby], iqs, iq3s_grid);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq1_s_q8_1(const void *__restrict__ vx,
+                                     const void *__restrict__ vy,
+                                     float *__restrict__ dst, const int ncols,
+                                     const int nrows,
+                                     const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq1_s_q8_1(&x[ibx], &y[iby], iqs, iq1s_grid_gpu);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq1_m_q8_1(const void *__restrict__ vx,
+                                     const void *__restrict__ vy,
+                                     float *__restrict__ dst, const int ncols,
+                                     const int nrows,
+                                     const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq1_m_q8_1(&x[ibx], &y[iby], iqs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq4_nl_q8_1(const void *__restrict__ vx,
+                                      const void *__restrict__ vy,
+                                      float *__restrict__ dst, const int ncols,
+                                      const int nrows,
+                                      const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq4_nl_q8_1(&x[ibx], &y[iby], iqs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+
+template <int qk, int qi, typename block_q_t, int vdr>
+static void mul_mat_vec_q_iq4_xs_q8_1(const void *__restrict__ vx,
+                                      const void *__restrict__ vy,
+                                      float *__restrict__ dst, const int ncols,
+                                      const int nrows,
+                                      const sycl::nd_item<3> &item_ct1) {
+    const int row = item_ct1.get_group(2) * item_ct1.get_local_range(1) +
+                    item_ct1.get_local_id(1);
+
+    if (row >= nrows) {
+        return;
+    }
+
+    const int blocks_per_row = ncols / qk;
+    const int blocks_per_warp = vdr * WARP_SIZE / qi;
+
+// partial sum for each thread
+    float tmp = 0.0f;
+
+    const block_q_t  * x = (const block_q_t  *) vx;
+    const block_q8_1 * y = (const block_q8_1 *) vy;
+
+    for (int i = item_ct1.get_local_id(2) / (qi / vdr); i < blocks_per_row;
+         i += blocks_per_warp) {
+        const int ibx = row*blocks_per_row + i; // x block index
+
+        const int iby = i * (qk/QK8_1); // y block index that aligns with ibx
+
+        const int iqs =
+            vdr *
+            (item_ct1.get_local_id(2) %
+             (qi / vdr)); // x block quant index when casting the quants to int
+
+        tmp += vec_dot_iq4_xs_q8_1(&x[ibx], &y[iby], iqs);
+    }
+
+    // sum up partial sums and write back result
+#pragma unroll
+    for (int mask = 16; mask > 0; mask >>= 1) {
+        tmp +=
+            dpct::permute_sub_group_by_xor(item_ct1.get_sub_group(), tmp, mask);
+    }
+
+    if (item_ct1.get_local_id(2) == 0) {
+        dst[row] = tmp;
+    }
+}
+
+static void mul_mat_vec_q4_0_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK4_0 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK4_0, QI4_0, block_q4_0,
+                                      VDR_Q4_0_Q8_1_MMVQ, vec_dot_q4_0_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q4_1_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK4_1 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK4_0, QI4_1, block_q4_1,
+                                      VDR_Q4_1_Q8_1_MMVQ, vec_dot_q4_1_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q5_0_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK5_0 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK5_0, QI5_0, block_q5_0,
+                                      VDR_Q5_0_Q8_1_MMVQ, vec_dot_q5_0_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q5_1_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK5_1 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK5_1, QI5_1, block_q5_1,
+                                      VDR_Q5_1_Q8_1_MMVQ, vec_dot_q5_1_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q8_0_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK8_0 == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK8_0, QI8_0, block_q8_0,
+                                      VDR_Q8_0_Q8_1_MMVQ, vec_dot_q8_0_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q2_K_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK_K, QI2_K, block_q2_K,
+                                      VDR_Q2_K_Q8_1_MMVQ, vec_dot_q2_K_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q3_K_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK_K, QI3_K, block_q3_K,
+                                      VDR_Q3_K_Q8_1_MMVQ, vec_dot_q3_K_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q4_K_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK_K, QI4_K, block_q4_K,
+                                      VDR_Q4_K_Q8_1_MMVQ, vec_dot_q4_K_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q5_K_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK_K, QI5_K, block_q5_K,
+                                      VDR_Q5_K_Q8_1_MMVQ, vec_dot_q5_K_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_q6_K_q8_1_sycl(const void *vx, const void *vy,
+                                       float *dst, const int ncols,
+                                       const int nrows,
+                                       dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q<QK_K, QI6_K, block_q6_K,
+                                      VDR_Q6_K_Q8_1_MMVQ, vec_dot_q6_K_q8_1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+
+static void mul_mat_vec_iq2_xxs_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq2_xxs_q8_1<QK_K, QI2_XXS, block_iq2_xxs, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq2_xs_q8_1_sycl(const void *vx, const void *vy,
+                                         float *dst, const int ncols,
+                                         const int nrows,
+                                         dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0];
+            auto ksigns64_ptr_ct1 = &ksigns64[0];
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq2_xs_q8_1<QK_K, QI2_XS, block_iq2_xs, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq2_s_q8_1_sycl(const void *vx, const void *vy,
+                                         float *dst, const int ncols,
+                                         const int nrows,
+                                         dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            auto iq2xs_grid_ptr_ct1 = &iq2xs_grid[0];
+            auto ksigns64_ptr_ct1 = &ksigns64[0];
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq2_s_q8_1<QK_K, QI2_S, block_iq2_s, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq3_xxs_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            auto iq3xxs_grid_ptr_ct1 = &iq3xxs_grid[0];
+            auto ksigns64_ptr_ct1 = &ksigns64[0];
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq3_xxs_q8_1<QK_K, QI3_XXS, block_iq3_xxs, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq3_s_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            auto iq3s_grid_ptr_ct1 = &iq3s_grid[0];
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq3_s_q8_1<QK_K, QI3_XS, block_iq3_s, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq1_s_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            auto iq1s_grid_ptr_ct1 = &iq1s_grid_gpu[0];
+            auto ksigns64_ptr_ct1 = &ksigns64[0];
+
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq1_s_q8_1<QK_K, QI1_S, block_iq1_s, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq1_m_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq1_m_q8_1<QK_K, QI1_S, block_iq1_m, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq4_nl_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK4_NL == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq4_nl_q8_1<QK4_NL, QI4_NL, block_iq4_nl, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+static void mul_mat_vec_iq4_xs_q8_1_sycl(const void *vx, const void *vy,
+                                          float *dst, const int ncols,
+                                          const int nrows,
+                                          dpct::queue_ptr stream) {
+    GGML_ASSERT(ncols % QK_K == 0);
+    const int block_num_y = (nrows + GGML_SYCL_MMV_Y - 1) / GGML_SYCL_MMV_Y;
+    const sycl::range<3> block_nums(1, 1, block_num_y);
+    const sycl::range<3> block_dims(1, GGML_SYCL_MMV_Y, WARP_SIZE);
+    {
+
+        stream->submit([&](sycl::handler &cgh) {
+            cgh.parallel_for(
+                sycl::nd_range<3>(block_nums * block_dims, block_dims),
+                [=](sycl::nd_item<3> item_ct1)
+                    [[intel::reqd_sub_group_size(32)]] {
+                        mul_mat_vec_q_iq4_xs_q8_1<QK_K, QI4_XS, block_iq4_xs, 1>(
+                            vx, vy, dst, ncols, nrows, item_ct1);
+                    });
+        });
+    }
+}
+
+void ggml_sycl_op_mul_mat_vec_q(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
+    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
+    const int64_t src1_ncols, const int64_t src1_padded_row_size,
+    const dpct::queue_ptr &stream) {
+
+    const int64_t ne10 = src1->ne[0];
+    GGML_ASSERT(ne10 % QK8_1 == 0);
+
+    const int64_t ne00 = src0->ne[0];
+    const int64_t row_diff = row_high - row_low;
+
+    int id;
+    SYCL_CHECK(
+        CHECK_TRY_ERROR(id = get_current_device_id()));
+
+    // the main device has a larger memory buffer to hold the results from all GPUs
+    // nrows_dst == nrows of the matrix that the kernel writes into
+    const int64_t nrows_dst = id == ctx.device ? ne00 : row_diff;
+
+    switch (src0->type) {
+        case GGML_TYPE_Q4_0:
+            mul_mat_vec_q4_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q4_1:
+            mul_mat_vec_q4_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_0:
+            mul_mat_vec_q5_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_1:
+            mul_mat_vec_q5_1_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q8_0:
+            mul_mat_vec_q8_0_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q2_K:
+            mul_mat_vec_q2_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q3_K:
+            mul_mat_vec_q3_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q4_K:
+            mul_mat_vec_q4_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q5_K:
+            mul_mat_vec_q5_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_Q6_K:
+            mul_mat_vec_q6_K_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ1_S:
+            mul_mat_vec_iq1_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ1_M:
+            mul_mat_vec_iq1_m_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ2_XXS:
+            mul_mat_vec_iq2_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ2_XS:
+            mul_mat_vec_iq2_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ2_S:
+            mul_mat_vec_iq2_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ3_XXS:
+            mul_mat_vec_iq3_xxs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ3_S:
+            mul_mat_vec_iq3_s_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ4_NL:
+            mul_mat_vec_iq4_nl_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        case GGML_TYPE_IQ4_XS:
+            mul_mat_vec_iq4_xs_q8_1_sycl(src0_dd_i, src1_ddq_i, dst_dd_i, ne00, row_diff, stream);
+            break;
+        default:
+            GGML_ASSERT(false);
+            break;
+    }
+
+    (void) src1;
+    (void) dst;
+    (void) src1_ddf_i;
+    (void) src1_ncols;
+    (void) src1_padded_row_size;
+}
diff --git a/ggml-sycl/mmvq.hpp b/ggml-sycl/mmvq.hpp
new file mode 100644
index 000000000..049b43d45
--- /dev/null
+++ b/ggml-sycl/mmvq.hpp
@@ -0,0 +1,27 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_MMVQ_HPP
+#define GGML_SYCL_MMVQ_HPP
+
+#include "common.hpp"
+
+
+void ggml_sycl_op_mul_mat_vec_q(
+    ggml_backend_sycl_context & ctx,
+    const ggml_tensor *src0, const ggml_tensor *src1, ggml_tensor *dst,
+    const char *src0_dd_i, const float *src1_ddf_i, const char *src1_ddq_i,
+    float *dst_dd_i, const int64_t row_low, const int64_t row_high,
+    const int64_t src1_ncols, const int64_t src1_padded_row_size,
+    const dpct::queue_ptr &stream);
+
+#endif // GGML_SYCL_MMVQ_HPP
diff --git a/ggml-sycl/presets.hpp b/ggml-sycl/presets.hpp
index dcf026110..5e6b61813 100644
--- a/ggml-sycl/presets.hpp
+++ b/ggml-sycl/presets.hpp
@@ -18,8 +18,6 @@
 #define GGML_SYCL_MAX_DEVICES       48
 #define GGML_SYCL_NAME "SYCL"
 
-// FIXME: 1024 from cuda
-#define GROUP_SIZE 1024
 #define WARP_SIZE 32
 #define MATRIX_ROW_PADDING 512 // last row of quant. matrices is a multiple of this to avoid out-of-bounds memory accesses
 
diff --git a/ggml-sycl/vecdotq.hpp b/ggml-sycl/vecdotq.hpp
new file mode 100644
index 000000000..5e2e82546
--- /dev/null
+++ b/ggml-sycl/vecdotq.hpp
@@ -0,0 +1,1161 @@
+//
+// MIT license
+// Copyright (C) 2024 Intel Corporation
+// SPDX-License-Identifier: MIT
+//
+
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+
+#ifndef GGML_SYCL_VECDOTQ_HPP
+#define GGML_SYCL_VECDOTQ_HPP
+
+#include "dpct/helper.hpp"
+
+typedef float (*vec_dot_q_sycl_t)(const void * __restrict__ vbq, const block_q8_1 * __restrict__ bq8_1, const int & iqs);
+
+static __dpct_inline__ int get_int_from_int8(const int8_t* x8, const int& i32) {
+  const uint16_t* x16 =
+      (const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte
+                                                 // alignment
+
+  int x32 = 0;
+  x32 |= x16[0] << 0;
+  x32 |= x16[1] << 16;
+
+  return x32;
+}
+
+static __dpct_inline__ int get_int_from_uint8(
+    const uint8_t* x8,
+    const int& i32) {
+  const uint16_t* x16 =
+      (const uint16_t*)(x8 + sizeof(int) * i32); // assume at least 2 byte
+                                                 // alignment
+
+  int x32 = 0;
+  x32 |= x16[0] << 0;
+  x32 |= x16[1] << 16;
+
+  return x32;
+}
+
+static __dpct_inline__ int get_int_from_int8_aligned(
+    const int8_t* x8,
+    const int& i32) {
+  return *(
+      (const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
+}
+
+static __dpct_inline__ int get_int_from_uint8_aligned(
+    const uint8_t* x8,
+    const int& i32) {
+  return *(
+      (const int*)(x8 + sizeof(int) * i32)); // assume at least 4 byte alignment
+}
+
+static __dpct_inline__ void get_int_from_table_16(const uint32_t &q4,
+                                                  const uint8_t *values,
+                                                  int &val1, int &val2) {
+
+    uint32_t aux32; const uint8_t * q8 = (const uint8_t *)&aux32;
+    aux32 = q4 & 0x0f0f0f0f;
+    uint16_t v1 = values[q8[0]] | (values[q8[1]] << 8);
+    uint16_t v2 = values[q8[2]] | (values[q8[3]] << 8);
+    val1 = v1 | (v2 << 16);
+    aux32 = (q4 >> 4) & 0x0f0f0f0f;
+    v1 = values[q8[0]] | (values[q8[1]] << 8);
+    v2 = values[q8[2]] | (values[q8[3]] << 8);
+    val2 = v1 | (v2 << 16);
+}
+
+#define VDR_Q2_K_Q8_1_MMVQ 1
+
+// contiguous v/x values
+static __dpct_inline__ float vec_dot_q2_K_q8_1_impl_mmvq(
+    const int &v, const int *__restrict__ u, const uint8_t *__restrict__ scales,
+    const sycl::half2 &dm2, const float *__restrict__ d8) {
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR2_K; ++i) {
+        const int sc = scales[2*i];
+
+        const int vi = (v >> (2*i)) & 0x03030303;
+
+        sumf_d +=
+            d8[i] * (dpct::dp4a(vi, u[i], 0) * (sc & 0xF)); // SIMD dot product
+
+        // fill int with 4x m
+        int m = sc >> 4;
+        m |= m <<  8;
+        m |= m << 16;
+        sumf_m += d8[i] *
+                  dpct::dp4a(
+                      m, u[i],
+                      0); // multiply constant q2_K part with sum of q8_1 values
+    }
+
+    const sycl::float2 dm2f =
+        dm2.convert<float, sycl::rounding_mode::automatic>();
+
+    return dm2f.x() * sumf_d - dm2f.y() * sumf_m;
+}
+
+
+#define VDR_Q3_K_Q8_1_MMVQ 1
+
+// contiguous v/x values
+static __dpct_inline__ float vec_dot_q3_K_q8_1_impl_mmvq(
+    const int &vl, const int &vh, const int *__restrict__ u,
+    const uint8_t *__restrict__ scales, const int &scale_offset,
+    const float &d3, const float *__restrict__ d8) {
+
+    float sumf = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR3_K; ++i) {
+        const int isc = scale_offset + 2*i;
+
+        const int isc_low = isc % (QK_K/32);
+        const int sc_shift_low = 4 * (isc / (QK_K/32));
+        const int sc_low  = (scales[isc_low] >> sc_shift_low) & 0xF;
+
+        const int isc_high = isc % (QK_K/64);
+        const int sc_shift_high = 2 * (isc / (QK_K/64));
+        const int sc_high = ((scales[(QK_K/32) + isc_high] >> sc_shift_high) & 3) << 4;
+
+        const int sc = (sc_low | sc_high) - 32;
+
+        const int vil = (vl >> (2*i)) & 0x03030303;
+
+        const int vih = ((vh >> i) << 2) & 0x04040404;
+
+        const int vi =
+            dpct::vectorized_binary<sycl::char4>(vil, vih, dpct::sub_sat());
+
+        sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
+    }
+
+    return d3 * sumf;
+}
+
+#define VDR_Q4_K_Q8_1_MMVQ 2
+
+// contiguous v/x values
+static __dpct_inline__ float vec_dot_q4_K_q8_1_impl_vmmq(
+    const int *__restrict__ v, const int *__restrict__ u,
+    const uint8_t *__restrict__ sc, const uint8_t *__restrict__ m,
+    const sycl::half2 &dm4, const float *__restrict__ d8) {
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR4_K; ++i) {
+        const int v0i = (v[0] >> (4*i)) & 0x0F0F0F0F;
+        const int v1i = (v[1] >> (4*i)) & 0x0F0F0F0F;
+
+        const int dot1 =
+            dpct::dp4a(v1i, u[2 * i + 1],
+                       dpct::dp4a(v0i, u[2 * i + 0], 0)); // SIMD dot product
+        const int dot2 =
+            dpct::dp4a(0x01010101, u[2 * i + 1],
+                       dpct::dp4a(0x01010101, u[2 * i + 0], 0)); // sum of u
+
+        sumf_d += d8[i] * (dot1 * sc[i]);
+        sumf_m += d8[i] * (dot2 * m[i]);  // multiply constant part of q4_K with sum of q8_1 values
+    }
+
+    const sycl::float2 dm4f =
+        dm4.convert<float, sycl::rounding_mode::automatic>();
+
+    return dm4f.x() * sumf_d - dm4f.y() * sumf_m;
+}
+
+
+#define VDR_Q5_K_Q8_1_MMVQ 2
+
+// contiguous v/x values
+static __dpct_inline__ float vec_dot_q5_K_q8_1_impl_vmmq(
+    const int *__restrict__ vl, const int *__restrict__ vh,
+    const int *__restrict__ u, const uint8_t *__restrict__ sc,
+    const uint8_t *__restrict__ m, const sycl::half2 &dm5,
+    const float *__restrict__ d8) {
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR5_K; ++i) {
+        const int vl0i = (vl[0] >> (4*i)) & 0x0F0F0F0F;
+        const int vl1i = (vl[1] >> (4*i)) & 0x0F0F0F0F;
+
+        const int vh0i = ((vh[0] >> i) << 4) & 0x10101010;
+        const int vh1i = ((vh[1] >> i) << 4) & 0x10101010;
+
+        const int v0i = vl0i | vh0i;
+        const int v1i = vl1i | vh1i;
+
+        const int dot1 =
+            dpct::dp4a(v0i, u[2 * i + 0],
+                       dpct::dp4a(v1i, u[2 * i + 1], 0)); // SIMD dot product
+        const int dot2 =
+            dpct::dp4a(0x01010101, u[2 * i + 0],
+                       dpct::dp4a(0x01010101, u[2 * i + 1], 0)); // sum of u
+
+        sumf_d += d8[i] * (dot1 * sc[i]);
+        sumf_m += d8[i] * (dot2 * m[i]);
+
+    }
+
+    const sycl::float2 dm5f =
+        dm5.convert<float, sycl::rounding_mode::automatic>();
+
+    return dm5f.x() * sumf_d - dm5f.y() * sumf_m;
+}
+
+
+#define VDR_Q6_K_Q8_1_MMVQ 1
+
+// contiguous v/x values
+static __dpct_inline__ float
+vec_dot_q6_K_q8_1_impl_mmvq(const int &vl, const int &vh,
+                            const int *__restrict__ u,
+                            const int8_t *__restrict__ scales, const float &d,
+                            const float *__restrict__ d8) {
+
+    float sumf = 0.0f;
+
+#pragma unroll
+    for (int i = 0; i < QR6_K; ++i) {
+        const int sc = scales[4*i];
+
+        const int vil = (vl >> (4*i)) & 0x0F0F0F0F;
+
+        const int vih = ((vh >> (4*i)) << 4) & 0x30303030;
+
+        const int vi = dpct::vectorized_binary<sycl::char4>(
+            (vil | vih), 0x20202020, dpct::sub_sat()); // vi = (vil | vih) - 32
+
+        sumf += d8[i] * (dpct::dp4a(vi, u[i], 0) * sc); // SIMD dot product
+    }
+
+    return d*sumf;
+}
+
+// VDR = vec dot ratio, how many contiguous integers each thread processes when the vec dot kernel is called
+// MMVQ = mul_mat_vec_q, MMQ = mul_mat_q
+
+#define VDR_Q4_0_Q8_1_MMVQ 2
+#define VDR_Q4_0_Q8_1_MMQ  4
+
+template <int vdr>
+static __dpct_inline__ float vec_dot_q4_0_q8_1_impl(const int *v, const int *u,
+                                                    const float &d4,
+                                                    const sycl::half2 &ds8) {
+    int sumi = 0;
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
+        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
+
+        // SIMD dot product of quantized values
+        sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
+        sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
+    }
+
+    const sycl::float2 ds8f =
+        ds8.convert<float, sycl::rounding_mode::automatic>();
+
+    // second part effectively subtracts 8 from each quant value
+    return d4 * (sumi * ds8f.x() - (8 * vdr / QI4_0) * ds8f.y());
+}
+
+#define VDR_Q4_1_Q8_1_MMVQ 2
+#define VDR_Q4_1_Q8_1_MMQ  4
+
+template <int vdr>
+static __dpct_inline__ float vec_dot_q4_1_q8_1_impl(const int *v, const int *u,
+                                                    const sycl::half2 &dm4,
+                                                    const sycl::half2 &ds8) {
+
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        const int vi0 = (v[i] >> 0) & 0x0F0F0F0F;
+        const int vi1 = (v[i] >> 4) & 0x0F0F0F0F;
+
+        // SIMD dot product of quantized values
+        sumi = dpct::dp4a(vi0, u[2 * i + 0], sumi);
+        sumi = dpct::dp4a(vi1, u[2 * i + 1], sumi);
+    }
+
+#ifdef GGML_SYCL_F16
+    const sycl::float2 tmp =
+        (dm4 * ds8).convert<float, sycl::rounding_mode::automatic>();
+    const float d4d8 = tmp.x();
+    const float m4s8 = tmp.y();
+#else
+    const sycl::float2 dm4f =
+        dm4.convert<float, sycl::rounding_mode::automatic>();
+    const sycl::float2 ds8f =
+        ds8.convert<float, sycl::rounding_mode::automatic>();
+    const float d4d8 = dm4f.x() * ds8f.x();
+    const float m4s8 = dm4f.y() * ds8f.y();
+#endif // GGML_SYCL_F16
+
+    // scale second part of sum by QI8_1/(vdr * QR4_1) to compensate for multiple threads adding it
+    return sumi * d4d8 + m4s8 / (QI8_1 / (vdr * QR4_1));
+}
+
+#define VDR_Q5_0_Q8_1_MMVQ 2
+#define VDR_Q5_0_Q8_1_MMQ  4
+
+template <int vdr>
+static __dpct_inline__ float
+vec_dot_q5_0_q8_1_impl(const int *vl, const int *vh, const int *u,
+                       const float &d5, const sycl::half2 &ds8) {
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
+        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
+        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
+        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
+        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
+        sumi = dpct::dp4a(vi0, u[2 * i + 0],
+                          sumi); // SIMD dot product of quantized values
+
+        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
+        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
+        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
+        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
+        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
+        sumi = dpct::dp4a(vi1, u[2 * i + 1],
+                          sumi); // SIMD dot product of quantized values
+    }
+
+    const sycl::float2 ds8f =
+        ds8.convert<float, sycl::rounding_mode::automatic>();
+
+    // second part effectively subtracts 16 from each quant value
+    return d5 * (sumi * ds8f.x() - (16 * vdr / QI5_0) * ds8f.y());
+}
+
+#define VDR_Q5_1_Q8_1_MMVQ 2
+#define VDR_Q5_1_Q8_1_MMQ  4
+
+template <int vdr>
+static __dpct_inline__ float
+vec_dot_q5_1_q8_1_impl(const int *vl, const int *vh, const int *u,
+                       const sycl::half2 &dm5, const sycl::half2 &ds8) {
+
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        int vi0 = (vl[i] >>  0) & 0x0F0F0F0F; // lower 4 qs bits, still need qh as 5th bits
+        vi0    |= (vh[i] <<  4) & 0x00000010; // 0 ->  4
+        vi0    |= (vh[i] << 11) & 0x00001000; // 1 -> 12
+        vi0    |= (vh[i] << 18) & 0x00100000; // 2 -> 20
+        vi0    |= (vh[i] << 25) & 0x10000000; // 3 -> 28
+        sumi = dpct::dp4a(vi0, u[2 * i + 0],
+                          sumi); // SIMD dot product of quantized values
+
+        int vi1 = (vl[i] >>  4) & 0x0F0F0F0F; // upper 4 qs bits, still need qh as 5th bits
+        vi1    |= (vh[i] >> 12) & 0x00000010; // 16 ->  4
+        vi1    |= (vh[i] >>  5) & 0x00001000; // 17 -> 12
+        vi1    |= (vh[i] <<  2) & 0x00100000; // 18 -> 20
+        vi1    |= (vh[i] <<  9) & 0x10000000; // 19 -> 28
+        sumi = dpct::dp4a(vi1, u[2 * i + 1],
+                          sumi); // SIMD dot product of quantized values
+    }
+
+#ifdef GGML_SYCL_F16
+     const sycl::float2 tmp =
+        (dm5 * ds8).convert<float, sycl::rounding_mode::automatic>();
+    const float d5d8 = tmp.x();
+    const float m5s8 = tmp.y();
+
+
+#else
+    const sycl::float2 dm5f =
+        dm5.convert<float, sycl::rounding_mode::automatic>();
+    const sycl::float2 ds8f =
+        ds8.convert<float, sycl::rounding_mode::automatic>();
+    const float d5d8 = dm5f.x() * ds8f.x();
+    const float m5s8 = dm5f.y() * ds8f.y();
+#endif // GGML_SYCL_F16
+
+    // scale second part of sum by QI5_1 / vdr to compensate for multiple threads adding it
+    return sumi*d5d8 + m5s8 / (QI5_1 / vdr);
+}
+
+#define VDR_Q8_0_Q8_1_MMVQ 2
+#define VDR_Q8_0_Q8_1_MMQ 8
+
+template <int vdr>
+static __dpct_inline__ float vec_dot_q8_0_q8_1_impl(const int *v, const int *u,
+                                                    const float &d8_0,
+                                                    const float &d8_1) {
+
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        // SIMD dot product of quantized values
+        sumi = dpct::dp4a(v[i], u[i], sumi);
+    }
+
+    return d8_0*d8_1 * sumi;
+}
+
+template <int vdr>
+static __dpct_inline__ float vec_dot_q8_1_q8_1_impl(const int *v, const int *u,
+                                                    const sycl::half2 &dm8,
+                                                    const sycl::half2 &ds8) {
+
+    int sumi = 0;
+
+#pragma unroll
+    for (int i = 0; i < vdr; ++i) {
+        // SIMD dot product of quantized values
+        sumi = dpct::dp4a(v[i], u[i], sumi);
+    }
+
+#ifdef GGML_SYCL_F16
+    const sycl::float2 tmp =
+        (dm8 * ds8).convert<float, sycl::rounding_mode::automatic>();
+    const float d8d8 = tmp.x();
+    const float m8s8 = tmp.y();
+#else
+    const sycl::float2 dm8f =
+        dm8.convert<float, sycl::rounding_mode::automatic>();
+    const sycl::float2 ds8f =
+        ds8.convert<float, sycl::rounding_mode::automatic>();
+    const float d8d8 = dm8f.x() * ds8f.x();
+    const float m8s8 = dm8f.y() * ds8f.y();
+#endif // GGML_SYCL_F16
+
+    // scale second part of sum by QI8_1/ vdr to compensate for multiple threads adding it
+    return sumi*d8d8 + m8s8 / (QI8_1 / vdr);
+}
+
+static __dpct_inline__ float
+vec_dot_q4_0_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q4_0 * bq4_0 = (const block_q4_0 *) vbq;
+
+    int v[VDR_Q4_0_Q8_1_MMVQ];
+    int u[2*VDR_Q4_0_Q8_1_MMVQ];
+
+#pragma unroll
+    for (int i = 0; i < VDR_Q4_0_Q8_1_MMVQ; ++i) {
+        v[i]     = get_int_from_uint8(bq4_0->qs, iqs + i);
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_0);
+    }
+
+    return vec_dot_q4_0_q8_1_impl<VDR_Q4_0_Q8_1_MMVQ>(v, u, bq4_0->d, bq8_1->ds);
+}
+
+static __dpct_inline__ float
+vec_dot_q4_1_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q4_1 * bq4_1 = (const block_q4_1 *) vbq;
+
+    int v[VDR_Q4_1_Q8_1_MMVQ];
+    int u[2*VDR_Q4_1_Q8_1_MMVQ];
+
+#pragma unroll
+    for (int i = 0; i < VDR_Q4_1_Q8_1_MMVQ; ++i) {
+        v[i]    = get_int_from_uint8_aligned(bq4_1->qs, iqs + i);
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI4_1);
+    }
+
+    return vec_dot_q4_1_q8_1_impl<VDR_Q4_1_Q8_1_MMVQ>(v, u, bq4_1->dm, bq8_1->ds);
+}
+
+static __dpct_inline__ float
+vec_dot_q5_0_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q5_0 * bq5_0 = (const block_q5_0 *) vbq;
+
+    int vl[VDR_Q5_0_Q8_1_MMVQ];
+    int vh[VDR_Q5_0_Q8_1_MMVQ];
+    int  u[2*VDR_Q5_0_Q8_1_MMVQ];
+
+#pragma unroll
+    for (int i = 0; i < VDR_Q5_0_Q8_1_MMVQ; ++i) {
+        vl[i]    = get_int_from_uint8(bq5_0->qs, iqs + i);
+        vh[i]    = get_int_from_uint8(bq5_0->qh, 0) >> (4 * (iqs + i));
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_0);
+    }
+
+    return vec_dot_q5_0_q8_1_impl<VDR_Q5_0_Q8_1_MMVQ>(vl, vh, u, bq5_0->d, bq8_1->ds);
+}
+
+static __dpct_inline__ float
+vec_dot_q5_1_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q5_1 * bq5_1 = (const block_q5_1 *) vbq;
+
+    int vl[VDR_Q5_1_Q8_1_MMVQ];
+    int vh[VDR_Q5_1_Q8_1_MMVQ];
+    int  u[2*VDR_Q5_1_Q8_1_MMVQ];
+
+#pragma unroll
+    for (int i = 0; i < VDR_Q5_1_Q8_1_MMVQ; ++i) {
+        vl[i]   = get_int_from_uint8_aligned(bq5_1->qs, iqs + i);
+        vh[i]   = get_int_from_uint8_aligned(bq5_1->qh, 0) >> (4 * (iqs + i));
+        u[2*i+0] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+        u[2*i+1] = get_int_from_int8_aligned(bq8_1->qs, iqs + i + QI5_1);
+    }
+
+    return vec_dot_q5_1_q8_1_impl<VDR_Q5_1_Q8_1_MMVQ>(vl, vh, u, bq5_1->dm, bq8_1->ds);
+}
+
+static __dpct_inline__ float
+vec_dot_q8_0_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q8_0 * bq8_0 = (const block_q8_0 *) vbq;
+
+    int v[VDR_Q8_0_Q8_1_MMVQ];
+    int u[VDR_Q8_0_Q8_1_MMVQ];
+
+#pragma unroll
+    for (int i = 0; i < VDR_Q8_0_Q8_1_MMVQ; ++i) {
+        v[i] = get_int_from_int8(bq8_0->qs, iqs + i);
+        u[i] = get_int_from_int8_aligned(bq8_1->qs, iqs + i);
+    }
+
+    return vec_dot_q8_0_q8_1_impl<VDR_Q8_0_Q8_1_MMVQ>(v, u, bq8_0->d,
+                                                      bq8_1->ds[0]);
+}
+
+static __dpct_inline__ float
+vec_dot_q2_K_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q2_K * bq2_K = (const block_q2_K *) vbq;
+
+    const int bq8_offset = QR2_K * (iqs / QI8_1);
+    const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
+
+    const uint8_t * scales = bq2_K->scales + scale_offset;
+
+    const int v = get_int_from_uint8_aligned(bq2_K->qs, iqs);
+    int    u[QR2_K];
+    float d8[QR2_K];
+
+#pragma unroll
+    for (int i = 0; i < QR2_K; ++ i) {
+        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
+        d8[i] = bq8_1[bq8_offset + i].ds[0];
+    }
+
+    return vec_dot_q2_K_q8_1_impl_mmvq(v, u, scales, bq2_K->dm, d8);
+}
+
+static __dpct_inline__ float
+vec_dot_q3_K_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q3_K * bq3_K = (const block_q3_K *) vbq;
+
+    const int bq8_offset = QR3_K * (iqs / (QI3_K/2));
+    const int scale_offset = iqs - iqs % QI8_1 + (iqs % QI8_1) / (QI8_1/2);
+
+    const float d = bq3_K->d;
+
+    const int vl = get_int_from_uint8(bq3_K->qs, iqs);
+
+    // invert the mask with ~ so that a 0/1 results in 4/0 being subtracted
+    const int vh = ~get_int_from_uint8(bq3_K->hmask, iqs % (QI3_K/2)) >> bq8_offset;
+
+    int    u[QR3_K];
+    float d8[QR3_K];
+
+#pragma unroll
+    for (int i = 0; i < QR3_K; ++i) {
+        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + i].qs, iqs % QI8_1);
+        d8[i] = bq8_1[bq8_offset + i].ds[0];
+    }
+
+    return vec_dot_q3_K_q8_1_impl_mmvq(vl, vh, u, bq3_K->scales, scale_offset, d, d8);
+}
+
+static __dpct_inline__ float
+vec_dot_q4_K_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+#ifndef GGML_QKK_64
+    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
+
+    int    v[2];
+    int    u[2*QR4_K];
+    float d8[QR4_K];
+
+    // iqs is in 0,2..30. bq8_offset = iqs/4 -> bq8_offset = 0, 2, 4, 6
+    const int bq8_offset = QR4_K * ((iqs/2) / (QI8_1/2));
+
+    // iqs = 0....3 -> bq8_offset = 0, want q4_offset = 0, 4, 8, 12
+    // iqs = 4....7 -> bq8_offset = 2, want q4_offset = 32, 36, 40, 44
+    // iqs = 8...11 -> bq8_offset = 4, want q4_offset = 64, 68, 72, 76
+    // iqs = 12..15 -> bq8_offset = 6, want q4_offset = 96, 100, 104, 108
+
+    const int * q4 = (const int *)(bq4_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
+    v[0] = q4[0];
+    v[1] = q4[4];
+
+    const uint16_t * scales = (const uint16_t *)bq4_K->scales;
+    uint16_t aux[2];
+    const int j = bq8_offset/2;
+    if (j < 2) {
+        aux[0] = scales[j+0] & 0x3f3f;
+        aux[1] = scales[j+2] & 0x3f3f;
+    } else {
+        aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
+        aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
+    }
+    const uint8_t * sc = (const uint8_t *)aux;
+    const uint8_t * m  = sc + 2;
+
+    for (int i = 0; i < QR4_K; ++i) {
+        const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
+        d8[i] = bq8i->ds[0];
+
+        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
+        u[2*i+0] = q8[0];
+        u[2*i+1] = q8[4];
+    }
+
+    return vec_dot_q4_K_q8_1_impl_vmmq(v, u, sc, m, bq4_K->dm, d8);
+
+#else
+
+#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
+    const block_q4_K * bq4_K = (const block_q4_K *) vbq;
+
+    float sumf_d = 0.0f;
+    float sumf_m = 0.0f;
+
+    uint16_t aux16[2];
+    const uint8_t * s = (const uint8_t *)aux16;
+
+    const uint16_t * a = (const uint16_t *)bq4_K->scales;
+    aux16[0] = a[0] & 0x0f0f;
+    aux16[1] = (a[0] >> 4) & 0x0f0f;
+
+    const float dall = bq4_K->dm[0];
+    const float dmin = bq4_K->dm[1];
+
+    const float d8_1 = bq8_1[0].ds[0];
+    const float d8_2 = bq8_1[1].ds[1];
+
+    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
+    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
+    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
+    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
+
+    const int * q4 = (const int *)bq4_K->qs + (iqs/2);
+    const int v1 = q4[0];
+    const int v2 = q4[4];
+
+    const int dot1 = dpct::dp4a(ui2, v2 & 0x0f0f0f0f, dpct::dp4a(ui1, v1 & 0x0f0f0f0f, 0));
+    const int dot2 = dpct::dp4a(ui4, (v2 >> 4) & 0x0f0f0f0f, dpct::dp4a(ui3, (v1 >> 4) & 0x0f0f0f0f, 0));
+    const int dot3 = dpct::dp4a(0x01010101, ui2, dpct::dp4a(0x01010101, ui1, 0));
+    const int dot4 = dpct::dp4a(0x01010101, ui4, dpct::dp4a(0x01010101, ui3, 0));
+
+    sumf_d += d8_1 * (dot1 * s[0]) + d8_2 * (dot2 * s[1]);
+    sumf_m += d8_1 * (dot3 * s[2]) + d8_2 * (dot4 * s[3]);
+
+    return dall * sumf_d - dmin * sumf_m;
+
+#else
+    bad_arch();
+#endif // __SYCL_ARCH__ >= VER_4VEC
+
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_q5_K_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+#ifndef GGML_QKK_64
+    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
+
+    int   vl[2];
+    int   vh[2];
+    int    u[2*QR5_K];
+    float d8[QR5_K];
+
+    const int bq8_offset = QR5_K * ((iqs/2) / (QI8_1/2));
+    const int * ql = (const int *)(bq5_K->qs + 16 * bq8_offset + 4 * ((iqs/2)%4));
+    const int * qh = (const int *)(bq5_K->qh + 4 * ((iqs/2)%4));
+
+    vl[0] = ql[0];
+    vl[1] = ql[4];
+
+    vh[0] = qh[0] >> bq8_offset;
+    vh[1] = qh[4] >> bq8_offset;
+
+    const uint16_t * scales = (const uint16_t *)bq5_K->scales;
+    uint16_t aux[2];
+    const int j = bq8_offset/2;
+    if (j < 2) {
+        aux[0] = scales[j+0] & 0x3f3f;
+        aux[1] = scales[j+2] & 0x3f3f;
+    } else {
+        aux[0] = ((scales[j+2] >> 0) & 0x0f0f) | ((scales[j-2] & 0xc0c0) >> 2);
+        aux[1] = ((scales[j+2] >> 4) & 0x0f0f) | ((scales[j-0] & 0xc0c0) >> 2);
+    }
+    const uint8_t * sc = (const uint8_t *)aux;
+    const uint8_t * m  = sc + 2;
+
+#pragma unroll
+    for (int i = 0; i < QR5_K; ++i) {
+        const block_q8_1 * bq8i = bq8_1 + bq8_offset + i;
+        d8[i] = bq8i->ds[0];
+
+        const int * q8 = (const int *)bq8i->qs + ((iqs/2)%4);
+        u[2*i+0] = q8[0];
+        u[2*i+1] = q8[4];
+    }
+
+    return vec_dot_q5_K_q8_1_impl_vmmq(vl, vh, u, sc, m, bq5_K->dm, d8);
+
+#else
+
+#if __SYCL_ARCH__ >= VER_4VEC // lowest compute capability for integer intrinsics
+    const block_q5_K * bq5_K = (const block_q5_K *) vbq;
+
+    const int8_t * s = bq5_K->scales;
+
+    const float d = bq5_K->d;
+
+    const float d8_1 = bq8_1[0].ds[0];
+    const float d8_2 = bq8_1[1].ds[1];
+
+    const int ui1 = *((const int *)bq8_1[0].qs + (iqs/2));
+    const int ui2 = *((const int *)bq8_1[0].qs + (iqs/2) + 4);
+    const int ui3 = *((const int *)bq8_1[1].qs + (iqs/2));
+    const int ui4 = *((const int *)bq8_1[1].qs + (iqs/2) + 4);
+
+    const int * ql = (const int *)bq5_K->qs + (iqs/2);
+    const int vl1 = ql[0];
+    const int vl2 = ql[4];
+
+    const int step = 4 * (iqs/2); // 0, 4, 8, 12
+    const int im = step/8; // = 0 for iqs = 0, 2, = 1 for iqs = 4, 6
+    const int in = step%8; // 0, 4, 0, 4
+    const int vh = (*((const int *)(bq5_K->qh + in))) >> im;
+
+    const int v1 = (((vh << 4) & 0x10101010) ^ 0x10101010) | ((vl1 >> 0) & 0x0f0f0f0f);
+    const int v2 = (((vh << 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 0) & 0x0f0f0f0f);
+    const int v3 = (((vh >> 0) & 0x10101010) ^ 0x10101010) | ((vl1 >> 4) & 0x0f0f0f0f);
+    const int v4 = (((vh >> 2) & 0x10101010) ^ 0x10101010) | ((vl2 >> 4) & 0x0f0f0f0f);
+
+    const float sumf_d = d8_1 * (dpct::dp4a(ui1, v1, 0) * s[0] + dpct::dp4a(ui2, v2, 0) * s[1])
+                       + d8_2 * (dpct::dp4a(ui3, v3, 0) * s[2] + dpct::dp4a(ui4, v4, 0) * s[3]);
+
+    return d * sumf_d;
+
+#else
+    bad_arch();
+#endif // __SYCL_ARCH__ >= VER_4VEC
+
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_q6_K_q8_1(const void *__restrict__ vbq,
+                  const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_q6_K * bq6_K = (const block_q6_K *) vbq;
+
+    const int bq8_offset = 2 * QR6_K * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/4);
+    const int scale_offset = (QI6_K/4) * (iqs / (QI6_K/2)) + (iqs % (QI6_K/2)) / (QI6_K/8);
+    const int vh_shift = 2 * ((iqs % (QI6_K/2)) / (QI6_K/4));
+
+    const int vl = get_int_from_uint8(bq6_K->ql, iqs);
+    const int vh = get_int_from_uint8(bq6_K->qh, (QI6_K/4) * (iqs / (QI6_K/2)) + iqs % (QI6_K/4)) >> vh_shift;
+
+    const int8_t * scales = bq6_K->scales + scale_offset;
+
+    int    u[QR6_K];
+    float d8[QR6_K];
+
+#pragma unroll
+    for (int i = 0; i < QR6_K; ++i) {
+        u[i]  = get_int_from_int8_aligned(bq8_1[bq8_offset + 2*i].qs, iqs % QI8_1);
+        d8[i] = bq8_1[bq8_offset + 2 * i].ds[0];
+    }
+
+    return vec_dot_q6_K_q8_1_impl_mmvq(vl, vh, u, scales, bq6_K->d, d8);
+}
+
+
+static __dpct_inline__ float
+vec_dot_iq2_xxs_q8_1(const void *__restrict__ vbq,
+                     const block_q8_1 *__restrict__ bq8_1, const int &iqs,
+                     const uint64_t *iq2xxs_grid, const uint8_t *ksigns_iq2xs,
+                     const uint8_t *kmask_iq2xs) {
+#if QK_K == 256
+    const block_iq2_xxs * bq2 = (const block_iq2_xxs *) vbq;
+
+#if QR2_XXS == 8
+    const int ib32 = iqs;
+    const uint16_t * q2 = bq2->qs + 4*ib32;
+    const uint8_t  * aux8 = (const uint8_t *)q2;
+    const int8_t   * q8 = bq8_1[ib32].qs;
+    uint32_t aux32 = q2[2] | (q2[3] << 16);
+    int sumi = 0;
+    for (int l = 0; l < 4; ++l) {
+        const uint8_t * grid = (const uint8_t *)(iq2xxs_grid + aux8[l]);
+        const uint8_t  signs = ksigns_iq2xs[aux32 & 127];
+        for (int j = 0; j < 8; ++j) {
+            sumi += q8[j] * grid[j] * (signs & kmask_iq2xs[j] ? -1 : 1);
+        }
+        q8 += 8;
+        aux32 >>= 7;
+    }
+    const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.25f;
+    return d * sumi;
+#else
+    // iqs is 0...15
+    const int ib32 = iqs/2;
+    const int il = iqs%2;
+    const uint16_t * q2 = bq2->qs + 4*ib32;
+    const uint8_t  * aux8 = (const uint8_t *)q2;
+    const uint8_t  * grid1 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+0]);
+    const uint8_t  * grid2 = (const uint8_t *)(iq2xxs_grid + aux8[2*il+1]);
+    const uint32_t aux32 = q2[2] | (q2[3] << 16);
+    const float d = (float)bq2->d * (0.5f + (aux32 >> 28)) * bq8_1[ib32].ds[0] * 0.25f;
+    const uint8_t signs1 = ksigns_iq2xs[(aux32 >> 14*il) & 127];
+    const uint8_t signs2 = ksigns_iq2xs[(aux32 >> (14*il + 7)) & 127];
+    const int8_t * q8 = bq8_1[ib32].qs + 16*il;
+    int sumi1 = 0, sumi2 = 0;
+    for (int j = 0; j < 8; ++j) {
+        sumi1 += q8[j+0] * grid1[j] * (signs1 & kmask_iq2xs[j] ? -1 : 1);
+        sumi2 += q8[j+8] * grid2[j] * (signs2 & kmask_iq2xs[j] ? -1 : 1);
+    }
+    return d * (sumi1 + sumi2);
+#endif
+#else
+    assert(false);
+    return 0.f;
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq2_xs_q8_1(const void *__restrict__ vbq,
+                    const block_q8_1 *__restrict__ bq8_1, const int &iqs,
+                    const uint64_t *iq2xs_grid, const uint64_t *ksigns64) {
+#if DPCT_COMPATIBILITY_TEMP >=                                                 \
+    MIN_CC_DP4A // lowest compute capability for integer intrinsics
+#if QK_K == 256
+    const block_iq2_xs * bq2 = (const block_iq2_xs *) vbq;
+
+    const int ib32 = iqs;
+    const uint16_t * q2 = bq2->qs + 4*ib32;
+    const int8_t   * q8 = bq8_1[ib32].qs;
+    const uint8_t ls1 = bq2->scales[ib32] & 0xf;
+    const uint8_t ls2 = bq2->scales[ib32] >>  4;
+    int sumi1 = 0;
+    for (int l = 0; l < 2; ++l) {
+        const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
+        const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid[0] ^ signs[0], signs[0], std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid[1] ^ signs[1], signs[1], std::minus<>());
+        sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
+        sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
+        q8 += 8;
+    }
+    int sumi2 = 0;
+    for (int l = 2; l < 4; ++l) {
+        const uint32_t * grid = (const uint32_t *)(iq2xs_grid + (q2[l] & 511));
+        const uint32_t * signs = (const uint32_t *)(ksigns64 + (q2[l] >> 9));
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid[0] ^ signs[0], signs[0], std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid[1] ^ signs[1], signs[1], std::minus<>());
+        sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
+        sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
+        q8 += 8;
+    }
+    const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
+    return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
+#else
+    assert(false);
+    return 0.f;
+#endif
+#else
+    assert(false);
+    return 0.f;
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq2_s_q8_1(const void *__restrict__ vbq,
+                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+#if QK_K == 256
+    const block_iq2_s * bq2 = (const block_iq2_s *) vbq;
+
+    const int ib32 = iqs;
+    const int8_t  * q8 = bq8_1[ib32].qs;
+    const uint8_t * signs = bq2->qs + QK_K/8 + 4*ib32;
+    const uint8_t ls1 = bq2->scales[ib32] & 0xf;
+    const uint8_t ls2 = bq2->scales[ib32] >>  4;
+    int sumi1 = 0;
+    for (int l = 0; l < 2; ++l) {
+        const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
+        const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
+            ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
+            std::equal_to<>());
+        const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
+            ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
+            std::equal_to<>());
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid[0] ^ signs0, signs0, std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid[1] ^ signs1, signs1, std::minus<>());
+        sumi1 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi1);
+        sumi1 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi1);
+        q8 += 8;
+    }
+    int sumi2 = 0;
+    for (int l = 2; l < 4; ++l) {
+        const uint32_t * grid = (const uint32_t *)(iq2s_grid + (bq2->qs[4*ib32+l] | ((bq2->qh[ib32] << (8-2*l)) & 0x300)));
+        const uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
+            ((signs[l] & 0xf) * 0x01010101) & 0x08040201, 0x08040201,
+            std::equal_to<>());
+        const uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
+            ((signs[l] >> 4) * 0x01010101) & 0x08040201, 0x08040201,
+            std::equal_to<>());
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid[0] ^ signs0, signs0, std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid[1] ^ signs1, signs1, std::minus<>());
+        sumi2 = dpct::dp4a(grid_l, *((const int *)q8 + 0), sumi2);
+        sumi2 = dpct::dp4a(grid_h, *((const int *)q8 + 1), sumi2);
+        q8 += 8;
+    }
+    const float d = (float)bq2->d * bq8_1[ib32].ds[0] * 0.25f;
+    return d * ((0.5f + ls1) * sumi1 + (0.5f + ls2) * sumi2);
+#else
+    assert(false);
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq3_xxs_q8_1(const void *__restrict__ vbq,
+                     const block_q8_1 *__restrict__ bq8_1, const int &iqs,
+                     const uint32_t *iq3xxs_grid, const uint64_t *ksigns64) {
+#if DPCT_COMPATIBILITY_TEMP >=                                                 \
+    MIN_CC_DP4A // lowest compute capability for integer intrinsics
+#if QK_K == 256
+    const block_iq3_xxs * bq2 = (const block_iq3_xxs *) vbq;
+
+    const int ib32 = iqs;
+    const uint8_t  * q3 = bq2->qs + 8*ib32;
+    const uint16_t * gas = (const uint16_t *)(bq2->qs + QK_K/4) + 2*ib32;
+    const int8_t   * q8 = bq8_1[ib32].qs;
+    uint32_t aux32 = gas[0] | (gas[1] << 16);
+    int sumi = 0;
+    for (int l = 0; l < 4; ++l) {
+        const uint32_t * grid1 = iq3xxs_grid + q3[2*l+0];
+        const uint32_t * grid2 = iq3xxs_grid + q3[2*l+1];
+        const uint32_t * signs = (const uint32_t *)(ksigns64 + (aux32 & 127));
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid1[0] ^ signs[0], signs[0], std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid2[0] ^ signs[1], signs[1], std::minus<>());
+        sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
+        sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
+        q8 += 8;
+        aux32 >>= 7;
+    }
+    const float d = (float)bq2->d * (0.5f + aux32) * bq8_1[ib32].ds[0] * 0.5f;
+    return d * sumi;
+#else
+    assert(false);
+    return 0.f;
+#endif
+#else
+    assert(false);
+    return 0.f;
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq3_s_q8_1(const void *__restrict__ vbq,
+                   const block_q8_1 *__restrict__ bq8_1, const int &iqs,
+                   const uint32_t *iq3s_grid) {
+#if QK_K == 256
+    const block_iq3_s * bq2 = (const block_iq3_s *) vbq;
+
+    const int ib32 = iqs;
+    const uint8_t  * qs = bq2->qs + 8*ib32;
+    const int8_t   * q8 = bq8_1[ib32].qs;
+    int sumi = 0;
+    for (int l = 0; l < 4; ++l) {
+        const uint32_t * grid1 = iq3s_grid + (qs[2*l+0] | ((bq2->qh[ib32] << (8 - 2*l)) & 256));
+        const uint32_t * grid2 = iq3s_grid + (qs[2*l+1] | ((bq2->qh[ib32] << (7 - 2*l)) & 256));
+        uint32_t signs0 = dpct::vectorized_binary<sycl::uchar4>(
+            ((bq2->signs[4 * ib32 + l] & 0xf) * 0x01010101) & 0x08040201,
+            0x08040201, std::equal_to<>());
+        uint32_t signs1 = dpct::vectorized_binary<sycl::uchar4>(
+            ((bq2->signs[4 * ib32 + l] >> 4) * 0x01010101) & 0x08040201,
+            0x08040201, std::equal_to<>());
+        const int grid_l = dpct::vectorized_binary<sycl::uchar4>(
+            grid1[0] ^ signs0, signs0, std::minus<>());
+        const int grid_h = dpct::vectorized_binary<sycl::uchar4>(
+            grid2[0] ^ signs1, signs1, std::minus<>());
+        sumi = dpct::dp4a(grid_l, *((int *)q8 + 0), sumi);
+        sumi = dpct::dp4a(grid_h, *((int *)q8 + 1), sumi);
+        q8 += 8;
+    }
+    const float d =
+        (float)bq2->d *
+        (1 + 2 * ((bq2->scales[ib32 / 2] >> 4 * (ib32 % 2)) & 0xf)) *
+        bq8_1[ib32].ds[0];
+    return d * sumi;
+#else
+    assert(false);
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq1_s_q8_1(const void *__restrict__ vbq,
+                   const block_q8_1 *__restrict__ bq8_1, const int &iqs,
+                   const uint32_t *iq1s_grid_gpu) {
+#if QK_K == 256
+    const block_iq1_s * bq1 = (const block_iq1_s *) vbq;
+
+    const int ib32 = iqs;
+    int sumi = 0;
+    const int * q8 = (const int *)bq8_1[ib32].qs;
+    for (int l = 0; l < 4; ++l) {
+        const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[ib32] >> 3*l) & 7) << 8)));
+        int grid0 = grid[0] & 0x0f0f0f0f;
+        int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
+        sumi = dpct::dp4a(q8[2 * l + 1], grid1,
+                          dpct::dp4a(q8[2 * l + 0], grid0, sumi));
+    }
+
+    const float delta = bq1->qh[ib32] & 0x8000 ? -1-IQ1S_DELTA : -1+IQ1S_DELTA;
+    const float d1q = (float)bq1->d * (2*((bq1->qh[ib32] >> 12) & 7) + 1);
+    const float d = d1q * bq8_1[ib32].ds[0];
+    const float m = d1q * bq8_1[ib32].ds[1];
+    return d * sumi + m * delta;
+#else
+    assert(false);
+#endif
+}
+
+static __dpct_inline__ float
+vec_dot_iq1_m_q8_1(const void *__restrict__ vbq,
+                   const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+#if QK_K == 256
+    const block_iq1_m * bq1 = (const block_iq1_m *) vbq;
+
+    const int ib32 = iqs;
+    int   sumi[2] = {0, 0};
+    float sumf[2] = {0.f, 0.f};
+
+    const int * q8 = (const int *)bq8_1[ib32].qs;
+    for (int l = 0; l < 4; ++l) {
+        const int * grid = (const int *)(iq1s_grid_gpu + (bq1->qs[4*ib32+l] | (((bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 7) << 8)));
+        int grid0 = grid[0] & 0x0f0f0f0f;
+        int grid1 = (grid[0] >> 4) & 0x0f0f0f0f;
+        sumi[l / 2] = dpct::dp4a(q8[2 * l + 1], grid1,
+                                 dpct::dp4a(q8[2 * l + 0], grid0, sumi[l / 2]));
+        const float delta = (bq1->qh[2*ib32+l/2] >> 4*(l%2)) & 0x08 ? -1-IQ1M_DELTA : -1+IQ1M_DELTA;
+        const int sumy = dpct::dp4a(q8[2 * l + 1], 0x01010101,
+                                    dpct::dp4a(q8[2 * l + 0], 0x01010101, 0));
+        sumf[l/2] += delta*sumy;
+    }
+
+    iq1m_scale_t scale;
+    const uint16_t * sc = (const uint16_t *)bq1->scales;
+    scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+    const float d = (float)scale.f16 * bq8_1[ib32].ds[0];
+    return d * ((sumi[0] + sumf[0]) * (2*((sc[ib32/2] >> 6*(ib32%2)) & 0x7) + 1) + (sumi[1] + sumf[1]) * (2*((sc[ib32/2] >> (6*(ib32%2)+3)) & 0x7) + 1));
+#else
+    assert(false);
+#endif
+}
+
+
+static __dpct_inline__ float
+vec_dot_iq4_nl_q8_1(const void *__restrict__ vbq,
+                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+    const block_iq4_nl * bq = (const block_iq4_nl *) vbq;
+
+    const uint16_t * q4 = (const uint16_t *)bq->qs + 2*iqs;
+    const int32_t  * q8 = (const int32_t  *)bq8_1->qs + iqs;
+
+    const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
+
+    int v1, v2;
+    int sumi1 = 0, sumi2 = 0;
+    for (int l = 0; l < VDR_Q4_0_Q8_1_MMVQ; ++l) {
+        const uint32_t aux = q4[2*l] | (q4[2*l+1] << 16);
+        get_int_from_table_16(aux, values, v1, v2);
+        sumi1 = dpct::dp4a(v1, q8[l + 0], sumi1);
+        sumi2 = dpct::dp4a(v2, q8[l + 4], sumi2);
+    }
+
+    const float d = (float)bq->d * bq8_1->ds[0];
+    return d * (sumi1 + sumi2);
+}
+
+
+static __dpct_inline__ float
+vec_dot_iq4_xs_q8_1(const void *__restrict__ vbq,
+                    const block_q8_1 *__restrict__ bq8_1, const int &iqs) {
+
+#if QK_K == 256
+    const block_iq4_xs * bq4 = (const block_iq4_xs *) vbq;
+    const uint8_t * values = (const uint8_t *)kvalues_iq4nl;
+
+    // iqs is 0...7
+    const int ib32 = iqs;
+    const int32_t  * q8 = (const int *)bq8_1[ib32].qs;
+    const uint32_t * q4 = (const uint32_t *)bq4->qs + 4*ib32;
+    const int8_t ls = ((bq4->scales_l[ib32/2] >> 4*(ib32%2)) & 0xf) | (((bq4->scales_h >> 2*ib32) & 3) << 4);
+    const float d = (float)bq4->d * (ls - 32) * bq8_1[ib32].ds[0];
+    int v1, v2;
+    int sumi1 = 0, sumi2 = 0;
+    for (int j = 0; j < 4; ++j) {
+        get_int_from_table_16(q4[j], values, v1, v2);
+        sumi1 = dpct::dp4a(v1, q8[j + 0], sumi1);
+        sumi2 = dpct::dp4a(v2, q8[j + 4], sumi2);
+    }
+    return d * (sumi1 + sumi2);
+#else
+    assert(false);
+#endif
+}
+
+#endif // GGML_SYCL_VECDOTQ_HPP

From a04a953cab583f0229e7b4b506346e3e9a85c8d0 Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Wed, 19 Jun 2024 13:04:36 +0300
Subject: [PATCH 105/131] codecov : remove (#8004)

---
 .github/labeler.yml                 |  1 -
 .github/workflows/code-coverage.yml | 40 -----------------------------
 codecov.yml                         | 14 ----------
 3 files changed, 55 deletions(-)
 delete mode 100644 .github/workflows/code-coverage.yml
 delete mode 100644 codecov.yml

diff --git a/.github/labeler.yml b/.github/labeler.yml
index 97d739b58..5c12bab73 100644
--- a/.github/labeler.yml
+++ b/.github/labeler.yml
@@ -42,7 +42,6 @@ build:
             - cmake/**
             - CMakeLists.txt
             - CMakePresets.json
-            - codecov.yml
 examples:
     - changed-files:
         - any-glob-to-any-file: examples/**
diff --git a/.github/workflows/code-coverage.yml b/.github/workflows/code-coverage.yml
deleted file mode 100644
index f12c558f8..000000000
--- a/.github/workflows/code-coverage.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-name: Code Coverage
-on: [push, pull_request]
-
-env:
-  GGML_NLOOP: 3
-  GGML_N_THREADS: 1
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  run:
-    runs-on: ubuntu-20.04
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Dependencies
-        run: |
-          sudo apt-get update
-          sudo apt-get install build-essential gcc-8 lcov
-
-      - name: Build
-        run: CC=gcc-8 make -j LLAMA_CODE_COVERAGE=1 tests
-
-      - name: Run tests
-        run: CC=gcc-8 make test
-
-      - name: Generate coverage report
-        run: |
-          make coverage
-          make lcov-report
-
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v3
-        env:
-           CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
-        with:
-          files: lcov-report/coverage.info
diff --git a/codecov.yml b/codecov.yml
deleted file mode 100644
index a301c5b2c..000000000
--- a/codecov.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-comment: off
-
-coverage:
-  status:
-    project:
-      default:
-        target: auto
-        threshold: 0
-        base: auto
-    patch:
-      default:
-        target: auto
-        threshold: 0
-        base: auto

From 9c77ec1d74874ee22bdef8f110e8e8d41389abf2 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Wed, 19 Jun 2024 15:04:15 +0200
Subject: [PATCH 106/131] ggml : synchronize threads using barriers (#7993)

---
 .github/workflows/server.yml |  14 +++
 ggml.c                       | 221 +++++++++++------------------------
 2 files changed, 83 insertions(+), 152 deletions(-)

diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index 1fee9ac28..6155e9415 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -87,8 +87,22 @@ jobs:
             exit 1
           fi
 
+      - name: Build (no OpenMP)
+        id: cmake_build_no_openmp
+        if: ${{ matrix.sanitizer == 'THREAD' }}
+        run: |
+          cmake -B build \
+              -DLLAMA_NATIVE=OFF \
+              -DLLAMA_BUILD_SERVER=ON \
+              -DLLAMA_CURL=ON \
+              -DCMAKE_BUILD_TYPE=${{ matrix.build_type }} \
+              -DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
+              -DLLAMA_OPENMP=OFF ;
+          cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
+
       - name: Build
         id: cmake_build
+        if: ${{ matrix.sanitizer != 'THREAD' }}
         run: |
           cmake -B build \
               -DLLAMA_NATIVE=OFF \
diff --git a/ggml.c b/ggml.c
index d5d33c2ba..778ca3fdf 100644
--- a/ggml.c
+++ b/ggml.c
@@ -1753,9 +1753,8 @@ struct ggml_compute_state_shared {
     int n_threads;
 
     // synchronization primitives
-    atomic_int n_active;  // num active threads
-    atomic_int node_n;    // active graph node
-    atomic_int node_task; // active graph node task phase
+    atomic_int n_barrier;
+    atomic_int n_barrier_passed;
 
     ggml_abort_callback abort_callback; // abort ggml_graph_compute when true
     void* abort_callback_data;
@@ -18972,47 +18971,49 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
     return n_tasks;
 }
 
-static void ggml_graph_compute_thread_sync_node(int * node_n, struct ggml_compute_state * state, const bool do_yield) {
-    // wait for other threads to finish
-    const int last_node_n = * node_n;
+#ifdef GGML_USE_OPENMP
+static void ggml_barrier(struct ggml_compute_state * state) {
+    if (state->shared->n_threads == 1) {
+        return;
+    }
 
-    while (true) {
-        if (do_yield) {
+    #pragma omp barrier
+}
+#else
+static void ggml_barrier(struct ggml_compute_state * state) {
+    if (state->shared->n_threads == 1) {
+        return;
+    }
+
+    atomic_int * n_barrier = &state->shared->n_barrier;
+    atomic_int * n_barrier_passed = &state->shared->n_barrier_passed;
+
+    int n_threads = state->shared->n_threads;
+    int passed_old = atomic_load(n_barrier_passed);
+
+    if (atomic_fetch_add(n_barrier, 1) == n_threads - 1) {
+        // last thread
+        atomic_store(n_barrier, 0);
+        atomic_fetch_add(n_barrier_passed, 1);
+    } else {
+        // wait for other threads
+        //while (atomic_load(n_barrier_passed) == passed_old) {
+        //}
+        const int n_spin_before_sleep = 100000;
+        while (true) {
+            for (int i = 0; i < n_spin_before_sleep; i++) {
+                if (atomic_load(n_barrier_passed) != passed_old) {
+                    return;
+                }
+            #if defined(__SSE3__)
+                _mm_pause();
+            #endif
+            }
             sched_yield();
         }
-
-        *node_n = atomic_load(&state->shared->node_n);
-        if (*node_n != last_node_n) {
-            break;
-        }
-
-#if defined(__SSE3__)
-        // Tell the processor we're spinning.  It's a processor hint for spinlocks.
-        _mm_pause();
-#endif
     }
 }
-
-static void ggml_graph_compute_thread_sync_task(int * task_phase, struct ggml_compute_state * state, const bool do_yield) {
-    // wait for other threads to finish
-    const int last_task_phase = *task_phase;
-
-    while (true) {
-        if (do_yield) {
-            sched_yield();
-        }
-
-        *task_phase = atomic_load(&state->shared->node_task);
-        if (*task_phase != last_task_phase) {
-            break;
-        }
-
-#if defined(__SSE3__)
-        // Tell the processor we're spinning.  It's a processor hint for spinlocks.
-        _mm_pause();
 #endif
-    }
-}
 
 static thread_ret_t ggml_graph_compute_thread(void * data) {
     struct ggml_compute_state * state = (struct ggml_compute_state *) data;
@@ -19020,136 +19021,54 @@ static thread_ret_t ggml_graph_compute_thread(void * data) {
     const struct ggml_cgraph * cgraph = state->shared->cgraph;
     const struct ggml_cplan  * cplan  = state->shared->cplan;
 
-    const int   n_threads   = state->shared->n_threads;
+    const int ith       = state->ith;
+    const int n_threads = state->shared->n_threads;
 
-    set_numa_thread_affinity(state->ith);
+    set_numa_thread_affinity(ith);
 
-    int node_n     = -1;
-    int task_phase = GGML_TASK_TYPE_FINALIZE;
+    struct ggml_compute_params params = {
+        /*.type  =*/ GGML_TASK_TYPE_INIT,
+        /*.ith   =*/ ith,
+        /*.nth   =*/ state->shared->n_threads,
+        /*.wsize =*/ cplan->work_size,
+        /*.wdata =*/ cplan->work_data,
+    };
 
-    while (true) {
+    for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) {
         if (cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) {
-            state->shared->node_n += 1;
             state->ec = GGML_STATUS_ABORTED;
             return 0;
         }
 
-        if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) {
-            // all other threads are finished and spinning
-            // do finalize and init here so we don't have synchronize again
-            struct ggml_compute_params params = {
-                /*.type  =*/ GGML_TASK_TYPE_FINALIZE,
-                /*.ith   =*/ 0,
-                /*.nth   =*/ 0,
-                /*.wsize =*/ cplan->work_size,
-                /*.wdata =*/ cplan->work_data,
-            };
-
-            if (node_n != -1) {
-                /* FINALIZE */
-                struct ggml_tensor * node = cgraph->nodes[node_n];
-                if (GGML_OP_HAS_FINALIZE[node->op]) {
-                    params.nth = ggml_get_n_tasks(node, n_threads, state->shared->n_threads);
-                    ggml_compute_forward(&params, node, state);
-                }
-                ggml_graph_compute_perf_stats_node(node, state->shared);
-            }
-
-            // distribute new work or execute it direct if 1T
-            while (++node_n < cgraph->n_nodes) {
-                GGML_PRINT_DEBUG_5("%s: %d/%d\n", __func__, node_n, cgraph->n_nodes);
-                struct ggml_tensor * node = cgraph->nodes[node_n];
-                const int n_tasks = ggml_get_n_tasks(node, n_threads, state->shared->n_threads);
-
-                state->shared->perf_node_start_cycles  = ggml_perf_cycles();
-                state->shared->perf_node_start_time_us = ggml_perf_time_us();
-
-                params.nth = n_tasks;
-
-                if (n_tasks == 1) {
-                    /* INIT */
-                    if (GGML_OP_HAS_INIT[node->op]) {
-                        params.type = GGML_TASK_TYPE_INIT;
-                        ggml_compute_forward(&params, node, state);
-                    }
-
-                    // TODO: maybe push node_n to the atomic but if other threads see n_tasks is 1,
-                    // they do something more efficient than spinning (?)
-                    params.type = GGML_TASK_TYPE_COMPUTE;
-                    ggml_compute_forward(&params, node, state);
-
-                    if (GGML_OP_HAS_FINALIZE[node->op]) {
-                        params.type = GGML_TASK_TYPE_FINALIZE;
-                        ggml_compute_forward(&params, node, state);
-                    }
-
-                    ggml_graph_compute_perf_stats_node(node, state->shared);
-                } else {
-                    break;
-                }
-
-                if (cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) {
-                    break;
-                }
-            }
-
-            task_phase = GGML_TASK_TYPE_INIT;
-            atomic_store(&state->shared->n_active,  n_threads);
-            atomic_store(&state->shared->node_n,    node_n);
-            atomic_store(&state->shared->node_task, task_phase);
-        } else {
-            ggml_graph_compute_thread_sync_node(&node_n,     state, false);
-            ggml_graph_compute_thread_sync_task(&task_phase, state, false);
-        }
-
-        // check if we should stop
-        if (node_n >= cgraph->n_nodes) break;
-
-        /* INIT & COMPUTE */
         struct ggml_tensor * node = cgraph->nodes[node_n];
         const int n_tasks = ggml_get_n_tasks(node, n_threads, state->shared->n_threads);
 
-        struct ggml_compute_params params = {
-            /*.type  =*/ GGML_TASK_TYPE_INIT,
-            /*.ith   =*/ state->ith,
-            /*.nth   =*/ n_tasks,
-            /*.wsize =*/ cplan->work_size,
-            /*.wdata =*/ cplan->work_data,
-        };
+        params.nth = n_tasks;
 
-        if (state->ith < n_tasks) {
-            if (GGML_OP_HAS_INIT[node->op]) {
+        /* INIT */
+        if (GGML_OP_HAS_INIT[node->op]) {
+            if (ith < n_tasks) {
+                params.type = GGML_TASK_TYPE_INIT;
                 ggml_compute_forward(&params, node, state);
             }
+            ggml_barrier(state);
         }
 
-        if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) {
-            task_phase = GGML_TASK_TYPE_COMPUTE;
-            atomic_store(&state->shared->n_active,  n_threads);
-            atomic_store(&state->shared->node_task, task_phase);
-        }
-        else {
-            // TODO: this sched_yield can have significant impact on the performance - either positive or negative
-            //       depending on the workload and the operating system.
-            //       since it is not clear what is the best approach, it should potentially become user-configurable
-            //       ref: https://github.com/ggerganov/ggml/issues/291
-            // UPD:  adding the do_yield flag seems to resolve the issue universally
-            const bool do_yield = node_n < 0 || cgraph->nodes[node_n]->op == GGML_OP_MUL_MAT;
-            ggml_graph_compute_thread_sync_task(&task_phase, state, do_yield);
-        }
-
-        if (state->ith < n_tasks) {
+        /* COMPUTE */
+        if (ith < n_tasks) {
             params.type = GGML_TASK_TYPE_COMPUTE;
             ggml_compute_forward(&params, node, state);
         }
 
-        if (atomic_fetch_sub(&state->shared->n_active, 1) == 1) {
-            task_phase = GGML_TASK_TYPE_FINALIZE;
-            atomic_store(&state->shared->n_active,  n_threads);
-            atomic_store(&state->shared->node_task, task_phase);
-        }
-        else {
-            ggml_graph_compute_thread_sync_task(&task_phase, state, false);
+        ggml_barrier(state);
+
+        /* FINALIZE */
+        if (GGML_OP_HAS_FINALIZE[node->op]) {
+            if (params.ith == 0) {
+                params.type = GGML_TASK_TYPE_FINALIZE;
+                ggml_compute_forward(&params, node, state);
+            }
+            ggml_barrier(state);
         }
     }
 
@@ -19336,7 +19255,6 @@ static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state *
                 // update the number of threads from the actual number of threads that we got from OpenMP
                 n_threads = omp_get_num_threads();
                 workers[0].shared->n_threads = n_threads;
-                workers[0].shared->n_active  = n_threads;
             }
             ggml_graph_compute_thread(&workers[omp_get_thread_num()]);
         }
@@ -19399,9 +19317,8 @@ enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cpl
         /*.perf_node_start_cycles  =*/ 0,
         /*.perf_node_start_time_us =*/ 0,
         /*.n_threads               =*/ n_threads,
-        /*.n_active                =*/ n_threads,
-        /*.node_n                  =*/ -1,
-        /*.node_task               =*/ GGML_TASK_TYPE_FINALIZE,
+        /*.n_barrier               =*/ 0,
+        /*.n_barrier_passed        =*/ 0,
         /*.abort_callback          =*/ NULL,
         /*.abort_callback_data     =*/ NULL,
         /*.current_chunk;          =*/ 0,

From a7854743c5e6216a6178824a603aa9479728ddd5 Mon Sep 17 00:00:00 2001
From: Michael de Gans <michael.john.degans@gmail.com>
Date: Wed, 19 Jun 2024 13:10:42 -0700
Subject: [PATCH 107/131] un-ignore `build-info.cmake` and `build-info.sh`
 (#7996)

* un-ignore `build-info.cmake` and `build-info.sh`

I am assuming that ignoring them was unintentional. If they are ignored, some tools, like cargo, will consider the files inexistent, even if they're comitted, for the purpose of publishing. This leads to the build failing in such cases.

* un-ignore `build-info.cpp.in`

For the same reason as the previous two files.

* Reorganize `.gitignore`

* Add exceptions for files mentioned by @slaren

I did leave .clang-tidy since it was explicitly ignored before.

* Add comments for organization
* Sort some lines for pretty
* Test with `make` and `cmake` builds to ensure no build artifacts might be comitted

* Remove `.clang-tidy` from `.gitignore`

Per comment by @ggerganov

* Remove `IDEWorkspaceChecks.plist` from root-level `.gitignore`
---
 .gitignore | 113 ++++++++++++++++++++++++++++++++++-------------------
 1 file changed, 73 insertions(+), 40 deletions(-)

diff --git a/.gitignore b/.gitignore
index 529659495..a0c16e880 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,90 +1,123 @@
-*.o
+# Extensions
+
 *.a
-*.so
+*.bat
+*.bin
+*.dll
+*.dot
+*.etag
+*.exe
+*.gcda
+*.gcno
+*.gcov
 *.gguf
 *.gguf.json
-*.bin
-*.exe
-*.dll
-*.log
-*.gcov
-*.gcno
-*.gcda
-*.dot
-*.bat
-*.tmp
-*.metallib
-*.etag
 *.lastModified
-.DS_Store
-.build/
+*.log
+*.metallib
+*.o
+*.so
+*.tmp
+
+# IDE / OS
+
 .cache/
 .ccls-cache/
 .direnv/
+.DS_Store
 .envrc
+.idea/
 .swiftpm
-.venv
-.clang-tidy
 .vs/
 .vscode/
-.idea/
+nppBackup
 
-ggml-metal-embed.metal
 
-lcov-report/
+# Coverage
+
 gcovr-report/
+lcov-report/
+
+# Build Artifacts
 
 tags
+.build/
 build*
+!build-info.cmake
+!build-info.cpp.in
+!build-info.sh
 !build.zig
-cmake-build-*
+/libllama.so
+/llama-*
 android-ndk-*
+arm_neon.h
+cmake-build-*
+CMakeSettings.json
+compile_commands.json
+ggml-metal-embed.metal
+llama-batched-swift
 out/
 tmp/
 
+# CI
+
+!.github/workflows/*.yml
+
+# Models
+
 models/*
 models-mnt
+!models/.editorconfig
+!models/ggml-vocab-*.gguf*
 
-/Pipfile
-/libllama.so
-/llama-*
-llama-batched-swift
-/common/build-info.cpp
-arm_neon.h
-compile_commands.json
-CMakeSettings.json
-
-__pycache__
-dist
+# Zig
 
 zig-out/
 zig-cache/
 
+# Logs
+
 ppl-*.txt
 qnt-*.txt
 perf-*.txt
 
+# Examples
+
 examples/jeopardy/results.txt
+examples/server/*.css.hpp
 examples/server/*.html.hpp
 examples/server/*.js.hpp
 examples/server/*.mjs.hpp
-examples/server/*.css.hpp
+!build_64.sh
+!examples/*.bat
+!examples/*/*.kts
+!examples/*/*/*.kts
+!examples/sycl/*.bat
+!examples/sycl/*.sh
 
+# Python
+
+__pycache__
+.venv
+/Pipfile
+dist
 poetry.lock
 poetry.toml
-nppBackup
 
 # Test binaries
-/tests/test-grammar-parser
-/tests/test-llama-grammar
+/tests/test-backend-ops
 /tests/test-double-float
 /tests/test-grad0
+/tests/test-grammar-parser
+/tests/test-llama-grammar
 /tests/test-opt
 /tests/test-quantize-fns
 /tests/test-quantize-perf
+/tests/test-rope
 /tests/test-sampling
 /tests/test-tokenizer-0
-/tests/test-tokenizer-1-spm
 /tests/test-tokenizer-1-bpe
-/tests/test-rope
-/tests/test-backend-ops
+/tests/test-tokenizer-1-spm
+
+# Scripts
+!/scripts/install-oneapi.bat

From ba5899315283eb1df3902363daf79bdc5eefe426 Mon Sep 17 00:00:00 2001
From: sasha0552 <admin@sasha0552.org>
Date: Wed, 19 Jun 2024 23:57:10 +0000
Subject: [PATCH 108/131] server : fix smart slot selection (#8020)

---
 examples/server/server.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index ec59307b2..f9a86961f 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1594,7 +1594,7 @@ struct server_context {
                     } else {
                         std::string prompt;
                         if (task.data.contains("prompt") && task.data.at("prompt").is_string()) {
-                            json_value(task.data, "prompt", std::string());
+                            prompt = json_value(task.data, "prompt", std::string());
                         }
 
                         slot = get_available_slot(prompt);

From 2075a66a96cc1b04eabec7cf4b3051193d6f719e Mon Sep 17 00:00:00 2001
From: Michael de Gans <michael.john.degans@gmail.com>
Date: Wed, 19 Jun 2024 22:32:01 -0700
Subject: [PATCH 109/131] metal : fix `ggml_metal_supports_op` for BF16 (#8021)

Currently the Metal backend does not support BF16. `ggml_metal_supports_op` was returning true in these cases, leading to a crash with models converted with `--leave-output-tensor`. This commit checks if the first few sources types are BF16 and returns false if that's the case.
---
 ggml-metal.m | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/ggml-metal.m b/ggml-metal.m
index f894274ca..79902c9a8 100644
--- a/ggml-metal.m
+++ b/ggml-metal.m
@@ -735,6 +735,12 @@ static id<MTLBuffer> ggml_metal_get_buffer(struct ggml_tensor * t, size_t * offs
 }
 
 static bool ggml_metal_supports_op(const struct ggml_metal_context * ctx, const struct ggml_tensor * op) {
+    for (size_t i = 0, n = 3; i < n; ++i) {
+        if (op->src[i] != NULL && op->src[i]->type == GGML_TYPE_BF16) {
+            return false;
+        }
+    }
+
     switch (op->op) {
         case GGML_OP_UNARY:
             switch (ggml_get_unary_op(op)) {

From d50f8897a797a5a03f31228d1b5a7b8130ee1bc2 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Thu, 20 Jun 2024 14:39:21 +0200
Subject: [PATCH 110/131] CUDA: stream-k decomposition for MMQ (#8018)

* CUDA: stream-k decomposition for MMQ

* fix undefined memory reads for small matrices
---
 ggml-cuda.cu         |   2 +-
 ggml-cuda/common.cuh |   4 +-
 ggml-cuda/mmq.cu     |  20 +--
 ggml-cuda/mmq.cuh    | 379 +++++++++++++++++++++++++++++++------------
 4 files changed, 292 insertions(+), 113 deletions(-)

diff --git a/ggml-cuda.cu b/ggml-cuda.cu
index b8298ab20..f914efd71 100644
--- a/ggml-cuda.cu
+++ b/ggml-cuda.cu
@@ -635,7 +635,7 @@ static int64_t get_row_rounding(const std::array<float, GGML_CUDA_MAX_DEVICES> &
         }
 
         const int cc = ggml_cuda_info().devices[id].cc;
-        row_rounding = std::max(row_rounding, (int64_t)get_mmq_y_host(cc, get_mmq_x_max_host(cc)));
+        row_rounding = std::max(row_rounding, (int64_t)get_mmq_y_host(cc));
     }
     return row_rounding;
 }
diff --git a/ggml-cuda/common.cuh b/ggml-cuda/common.cuh
index de7c2e434..5bd24ebe5 100644
--- a/ggml-cuda/common.cuh
+++ b/ggml-cuda/common.cuh
@@ -652,8 +652,8 @@ static int get_mmq_x_max_host(const int cc) {
 }
 
 // Round rows to this value for --split-mode row:
-static int get_mmq_y_host(const int cc, const int mmq_x) {
-    return cc >= CC_VOLTA && mmq_x >= 32 ? 128 : 64;
+static int get_mmq_y_host(const int cc) {
+    return cc >= CC_VOLTA ? 128 : 64;
 }
 
 //////////////////////
diff --git a/ggml-cuda/mmq.cu b/ggml-cuda/mmq.cu
index 1d6b9e698..6dbd85fef 100644
--- a/ggml-cuda/mmq.cu
+++ b/ggml-cuda/mmq.cu
@@ -30,34 +30,34 @@ void ggml_cuda_op_mul_mat_q(
 
     switch (src0->type) {
         case GGML_TYPE_Q4_0:
-            mul_mat_q_case<GGML_TYPE_Q4_0>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q4_0>(ctx, args, stream);
             break;
         case GGML_TYPE_Q4_1:
-            mul_mat_q_case<GGML_TYPE_Q4_1>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q4_1>(ctx, args, stream);
             break;
         case GGML_TYPE_Q5_0:
-            mul_mat_q_case<GGML_TYPE_Q5_0>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q5_0>(ctx, args, stream);
             break;
         case GGML_TYPE_Q5_1:
-            mul_mat_q_case<GGML_TYPE_Q5_1>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q5_1>(ctx, args, stream);
             break;
         case GGML_TYPE_Q8_0:
-            mul_mat_q_case<GGML_TYPE_Q8_0>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q8_0>(ctx, args, stream);
             break;
         case GGML_TYPE_Q2_K:
-            mul_mat_q_case<GGML_TYPE_Q2_K>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q2_K>(ctx, args, stream);
             break;
         case GGML_TYPE_Q3_K:
-            mul_mat_q_case<GGML_TYPE_Q3_K>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q3_K>(ctx, args, stream);
             break;
         case GGML_TYPE_Q4_K:
-            mul_mat_q_case<GGML_TYPE_Q4_K>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q4_K>(ctx, args, stream);
             break;
         case GGML_TYPE_Q5_K:
-            mul_mat_q_case<GGML_TYPE_Q5_K>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q5_K>(ctx, args, stream);
             break;
         case GGML_TYPE_Q6_K:
-            mul_mat_q_case<GGML_TYPE_Q6_K>(args, stream);
+            mul_mat_q_case<GGML_TYPE_Q6_K>(ctx, args, stream);
             break;
         default:
             GGML_ASSERT(false);
diff --git a/ggml-cuda/mmq.cuh b/ggml-cuda/mmq.cuh
index 6d57974fb..e2d07c202 100644
--- a/ggml-cuda/mmq.cuh
+++ b/ggml-cuda/mmq.cuh
@@ -8,6 +8,7 @@
 #include <cstdint>
 
 #define MMQ_TILE_Y_K (WARP_SIZE + WARP_SIZE/QI8_1)
+#define MMQ_NWARPS 8
 
 typedef void (*load_tiles_mmq_t)(
     const char * __restrict__ x, int * __restrict__ x_qs, half2 * __restrict__ x_dm,
@@ -15,7 +16,7 @@ typedef void (*load_tiles_mmq_t)(
 typedef void (*vec_dot_mmq_t)(
     const int * __restrict__ x_qs, const half2 * __restrict__ x_dm, const int * __restrict__ x_sc,
     const int * __restrict__ y, float * __restrict__ sum, const int & k0);
-typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1);
+typedef void (*mmq_write_back_t)(const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max);
 
 struct block_q8_1_mmq {
     half2  ds[4];
@@ -50,21 +51,17 @@ static constexpr __device__ int get_mmq_x_max_device() {
 
 // get_mmq_y_host is in common.cuh so that it can be used to determine the correct way to round for --split-mode row
 
+static constexpr __device__ int get_mmq_y_device() {
 #if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-static constexpr __device__ int get_mmq_y_device(int mmq_x) {
-    return mmq_x >= 32 ? 128 : 64;
-}
+    return 128;
 #else
 #if __CUDA_ARCH__ >= CC_VOLTA
-static constexpr __device__ int get_mmq_y_device(int mmq_x) {
-    return mmq_x >= 32 ? 128 : 64;
-}
+    return 128;
 #else
-static constexpr __device__ int get_mmq_y_device(int /*mmq_x*/) {
     return 64;
-}
 #endif // __CUDA_ARCH__ >= CC_VOLTA
 #endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+}
 
 #define TILE_X_SIZES_Q4_0 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_0 + mmq_y/QI4_0, 0}
 #define TILE_X_SIZES_Q4_1 tile_x_sizes{mmq_y*WARP_SIZE   + mmq_y, mmq_y*WARP_SIZE/QI4_1 + mmq_y/QI4_1, 0}
@@ -1734,30 +1731,34 @@ static __device__ __forceinline__ void vec_dot_q6_K_q8_1_mma(
 }
 
 template<int mmq_x, int mmq_y, int nwarps, bool need_check>
-static __device__ __forceinline__ void mmq_write_back_dp4a(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) {
+static __device__ __forceinline__ void mmq_write_back_dp4a(
+    const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max) {
+
 #pragma unroll
     for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
-        const int j = blockIdx.y*mmq_x + j0 + threadIdx.y;
+        const int j = j0 + threadIdx.y;
 
-        if (j >= ne1) {
+        if (j > j_max) {
             return;
         }
 
 #pragma unroll
         for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
-            const int i = blockIdx.x*mmq_y + i0 + threadIdx.x;
+            const int i = i0 + threadIdx.x;
 
-            if (need_check && i >= ne0) {
+            if (need_check && i > i_max) {
                 continue;
             }
 
-            dst[j*ne0 + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
+            dst[j*stride + i] = sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
         }
     }
 }
 
 template<int mmq_x, int mmq_y, int nwarps, bool need_check>
-static __device__ __forceinline__ void mmq_write_back_mma(const float * __restrict__ sum, float * __restrict__ dst, const int & ne0, const int & ne1) {
+static __device__ __forceinline__ void mmq_write_back_mma(
+    const float * __restrict__ sum, float * __restrict__ dst, const int & stride, const int & i_max, const int & j_max) {
+
     typedef mma_int_C_I16J8 mma_C;
 
     const int i0 = threadIdx.y*mma_C::I;
@@ -1769,19 +1770,19 @@ static __device__ __forceinline__ void mmq_write_back_mma(const float * __restri
     for (int j0 = 0; j0 < mmq_x; j0 += mma_C::J) {
 #pragma unroll
         for (int l = 0; l < mma_C::ne; ++l) {
-            const int j = blockIdx.y*mmq_x + j0 + mma_C::get_j(l);
+            const int j = j0 + mma_C::get_j(l);
 
-            if (j >= ne1) {
+            if (j > j_max) {
                 continue;
             }
 
-            const int i = blockIdx.x*mmq_y + i0 + mma_C::get_i(l);
+            const int i = i0 + mma_C::get_i(l);
 
-            if (need_check && i >= ne0) {
+            if (need_check && i > i_max) {
                 continue;
             }
 
-            dst[j*ne0 + i] = sum[(j0/mma_C::J)*mma_C::ne + l];
+            dst[j*stride + i] = sum[(j0/mma_C::J)*mma_C::ne + l];
         }
     }
 }
@@ -1896,32 +1897,16 @@ static bool mmq_need_sum(const ggml_type type_x) {
     return false;
 }
 
-template <ggml_type type, int mmq_x, int nwarps, bool need_check>
-#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-#if defined(RDNA3) || defined(RDNA2)
-    __launch_bounds__(WARP_SIZE*nwarps, 2)
-#endif // defined(RDNA3) || defined(RDNA2)
-#else
-#if __CUDA_ARCH__ >= CC_VOLTA
-    __launch_bounds__(WARP_SIZE*nwarps, 1)
-#else
-    __launch_bounds__(WARP_SIZE*nwarps, 2)
-#endif // __CUDA_ARCH__ >= CC_VOLTA
-#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
-static __global__ void mul_mat_q(
-    const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst,
-    const int ne00, const int ne01, const int stride01, const int ne10, const int ne11, const int stride11, const int ne0) {
-
-    // Skip unused template specializations for faster compilation:
-    if (mmq_x > get_mmq_x_max_device()) {
-        NO_DEVICE_CODE;
-        return;
-    }
+template <ggml_type type, int mmq_x, int nwarps, bool need_check, bool fixup>
+static __device__ void mul_mat_q_process_tile(
+    const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst, float * __restrict__ tmp_fixup,
+    const int & ne00, const int & ne01, const int & stride01, const int & ne10, const int & ne11, const int & stride11, const int & ne0,
+    const int & it, const int & jt, const int & kb0_start, const int & kb0_stop) {
 
     constexpr int              qk         = ggml_cuda_type_traits<type>::qk;
     constexpr int              qr         = ggml_cuda_type_traits<type>::qr;
     constexpr int              qi         = ggml_cuda_type_traits<type>::qi;
-    constexpr int              mmq_y      = get_mmq_y_device(mmq_x);
+    constexpr int              mmq_y      = get_mmq_y_device();
     constexpr int              vdr        = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::vdr;
     constexpr load_tiles_mmq_t load_tiles = mmq_type_traits<mmq_x, mmq_y, nwarps, need_check, type>::load_tiles;
 
@@ -1941,20 +1926,18 @@ static __global__ void mul_mat_q(
     int   * tile_x_sc = (int   *) (tile_x_dm + txs.dm);
     int   * tile_y    = (int   *) (tile_x_sc + txs.sc); // [mmq_x * (WARP_SIZE + WARP_SIZE/QI8_1)]
 
-    const int blocks_per_row_x = ne00 / qk;
-    const int blocks_per_warp = WARP_SIZE / qi;
-
-    const int & ne1 = ne11;
-
-    const int tile_x_max_i = ne01 - blockIdx.x*mmq_y - 1;
-
-    const int * y = (const int *) yc + blockIdx.y*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int));
+    constexpr int blocks_per_warp = WARP_SIZE / qi;
 
     float sum[mmq_x*mmq_y / (nwarps*WARP_SIZE)] = {0.0f};
 
-    for (int kb0 = 0; kb0 < blocks_per_row_x; kb0 += blocks_per_warp) {
+    const int tile_x_max_i = ne01 - it*mmq_y - 1;
+    const int tile_y_max_j = ne11 - jt*mmq_x - 1;
 
-        load_tiles(x, tile_x_qs, tile_x_dm, tile_x_sc, stride01*blockIdx.x*mmq_y + kb0, tile_x_max_i, stride01);
+    const int * y = (const int *) yc + jt*(mmq_x*sizeof(block_q8_1_mmq)/sizeof(int));
+
+    for (int kb0 = kb0_start; kb0 < kb0_stop; kb0 += blocks_per_warp) {
+
+        load_tiles(x, tile_x_qs, tile_x_dm, tile_x_sc, stride01*it*mmq_y + kb0, tile_x_max_i, stride01);
 
 #pragma unroll
         for (int kr = 0; kr < qr; ++kr) {
@@ -1977,7 +1960,176 @@ static __global__ void mul_mat_q(
         }
     }
 
-    write_back(sum, dst, ne0, ne1);
+    if (fixup) {
+        write_back(sum, tmp_fixup + blockIdx.x*(mmq_x*mmq_y), mmq_y, mmq_y, mmq_x);
+    } else {
+        write_back(sum, dst + jt*mmq_x*ne0 + it*mmq_y, ne0, tile_x_max_i, tile_y_max_j);
+    }
+}
+
+
+// The mul_mat_q kernel implements "stream-k" work partitioning as described in https://arxiv.org/abs/2301.03598
+
+template <ggml_type type, int mmq_x, int nwarps, bool need_check>
+#if defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+#if defined(RDNA3) || defined(RDNA2)
+    __launch_bounds__(WARP_SIZE*nwarps, 2)
+#endif // defined(RDNA3) || defined(RDNA2)
+#else
+#if __CUDA_ARCH__ >= CC_VOLTA
+    __launch_bounds__(WARP_SIZE*nwarps, 1)
+#else
+    __launch_bounds__(WARP_SIZE*nwarps, 2)
+#endif // __CUDA_ARCH__ >= CC_VOLTA
+#endif // defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)
+static __global__ void mul_mat_q(
+    const char * __restrict__ x, const char * __restrict__ yc, float * __restrict__ dst, float * __restrict__ tmp_fixup,
+    const int ne00, const int ne01, const int stride01, const int ne10, const int ne11, const int stride11, const int ne0) {
+
+    // Skip unused template specializations for faster compilation:
+    if (mmq_x > get_mmq_x_max_device()) {
+        NO_DEVICE_CODE;
+        return;
+    }
+
+    constexpr int qk    = ggml_cuda_type_traits<type>::qk;
+    constexpr int qi    = ggml_cuda_type_traits<type>::qi;
+    constexpr int mmq_y = get_mmq_y_device();
+
+    // On AMD or old CUDA the performance with stream-k was worse, use conventional tiling instead:
+#if (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ < CC_VOLTA
+    {
+        constexpr bool fixup = false;
+        mul_mat_q_process_tile<type, mmq_x, nwarps, need_check, fixup>
+            (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0,
+                blockIdx.x, blockIdx.y, 0, ne00/qk);
+        return;
+    }
+#endif // (defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__)) || __CUDA_ARCH__ < CC_VOLTA
+
+    const     int64_t blocks_per_ne00 = ne00 / qk;
+    constexpr int     blocks_per_warp = WARP_SIZE / qi;
+
+    const int ntx = (ne11 + mmq_x - 1) / mmq_x; // Number of tiles x
+    const int nty = (ne01 + mmq_y - 1) / mmq_y; // Number of tiles y
+
+    // kbc == k block continuous, current index in continuous ijk space.
+    int64_t       kbc      = GGML_PAD((int64_t) blockIdx.x     *blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
+    const int64_t kbc_stop = GGML_PAD((int64_t)(blockIdx.x + 1)*blocks_per_ne00*ntx*nty / gridDim.x, blocks_per_warp);
+
+    // kb0 == k index when doing the matrix multiplication for an output tile.
+    int kb0_start = kbc % blocks_per_ne00;
+    int kb0_stop  = min(blocks_per_ne00, kb0_start + kbc_stop - kbc);
+    while (kbc < kbc_stop && kb0_stop == blocks_per_ne00) {
+        const int jt =  kbc /    (blocks_per_ne00*nty);                    // j index of current tile.
+        const int it = (kbc - jt*(blocks_per_ne00*nty)) / blocks_per_ne00; // i index of current tile.
+
+        constexpr bool fixup = false; // All but (potentially) the last iterations write their data to dst rather than the fixup buffer.
+        mul_mat_q_process_tile<type, mmq_x, nwarps, need_check, fixup>
+            (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0,
+             it, jt, kb0_start, kb0_stop);
+
+        kbc += blocks_per_ne00;
+        kbc -= kbc % blocks_per_ne00;
+
+        kb0_start = 0;
+        kb0_stop  = min(blocks_per_ne00, kbc_stop - kbc);
+    }
+
+    if (kbc >= kbc_stop) {
+        return;
+    }
+
+    const int jt =  kbc /    (blocks_per_ne00*nty);
+    const int it = (kbc - jt*(blocks_per_ne00*nty)) / blocks_per_ne00;
+
+    constexpr bool fixup = true; // Last index writes it data to fixup buffer to avoid data races with other blocks.
+    mul_mat_q_process_tile<type, mmq_x, nwarps, need_check, fixup>
+        (x, yc, dst, tmp_fixup, ne00, ne01, stride01, ne10, ne11, stride11, ne0,
+            it, jt, kb0_start, kb0_stop);
+}
+
+
+template <ggml_type type, int mmq_x, int nwarps, bool need_check>
+static __global__ void mul_mat_q_stream_k_fixup(
+    float * __restrict__ dst, const float * __restrict__ tmp_last_tile, const int ne00, const int ne01, const int ne11, const int ne0, const int block_num_mmq) {
+
+    constexpr int     mmq_y           = get_mmq_y_device();
+    constexpr int     qk              = ggml_cuda_type_traits<type>::qk;
+    constexpr int     qi              = ggml_cuda_type_traits<type>::qi;
+    constexpr int     blocks_per_warp = WARP_SIZE / qi;
+    const     int64_t blocks_per_ne00 = ne00 / qk;
+
+    float sum[mmq_x*mmq_y / (nwarps*WARP_SIZE)] = {0.0f};
+
+    const int ntx = (ne11 + mmq_x - 1) / mmq_x;
+    const int nty = (ne01 + mmq_y - 1) / mmq_y;
+
+    bool any_fixup = false;
+
+    const int bidx_start = (blockIdx.y*nty + blockIdx.x)     * block_num_mmq / (gridDim.y*gridDim.x);
+    const int bidx_stop  = (blockIdx.y*nty + blockIdx.x + 1) * block_num_mmq / (gridDim.y*gridDim.x) + 1;
+
+    for (int bidx = bidx_start; bidx < bidx_stop; ++bidx) {
+        const int64_t kbc      = GGML_PAD((int64_t) bidx     *blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
+        const int64_t kbc_stop = GGML_PAD((int64_t)(bidx + 1)*blocks_per_ne00*ntx*nty / block_num_mmq, blocks_per_warp);
+
+        // Skip fixup tile if the MMQ CUDA block never wrote anything to it:
+        if (kbc == kbc_stop || kbc_stop % blocks_per_ne00 == 0) {
+            continue;
+        }
+
+        const int jt =  kbc_stop /    (blocks_per_ne00*nty);
+        const int it = (kbc_stop - jt*(blocks_per_ne00*nty)) / blocks_per_ne00;
+
+        // Skip fixup tile if it's unrelated to the output tile assigned to this CUDA block:
+        if (it != blockIdx.x || jt != blockIdx.y) {
+            continue;
+        }
+
+        any_fixup = true;
+
+#pragma unroll
+        for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+            const int j = j0 + threadIdx.y;
+
+#pragma unroll
+            for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+                const int i = i0 + threadIdx.x;
+
+                sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE] += tmp_last_tile[bidx*(mmq_x*mmq_y) + j*mmq_y + i];
+            }
+        }
+    }
+
+    if (!any_fixup) {
+        return;
+    }
+
+    dst += blockIdx.y*mmq_x*ne0 + blockIdx.x*mmq_y;
+
+    const int i_max = ne01 - blockIdx.x*mmq_y - 1;
+    const int j_max = ne11 - blockIdx.y*mmq_x - 1;
+
+#pragma unroll
+    for (int j0 = 0; j0 < mmq_x; j0 += nwarps) {
+        const int j = j0 + threadIdx.y;
+
+        if (j > j_max) {
+            return;
+        }
+
+#pragma unroll
+        for (int i0 = 0; i0 < mmq_y; i0 += WARP_SIZE) {
+            const int i = i0 + threadIdx.x;
+
+            if (need_check && i > i_max) {
+                continue;
+            }
+
+            dst[j*ne0 + i] += sum[(j0/nwarps) * (mmq_y/WARP_SIZE) + i0/WARP_SIZE];
+        }
+    }
 }
 
 struct mmq_args {
@@ -1987,124 +2139,151 @@ struct mmq_args {
     int64_t ne0;
 };
 
-constexpr int mmq_get_nwarps(int mmq_x) {
-    return mmq_x >= 32 ? 8 : 4;
-}
-
 static int mmq_get_shmem(const ggml_type type, const int mmq_x, const int mmq_y) {
     const tile_x_sizes txs = get_tile_x_sizes_host(type, mmq_y);
-    const int nwarps = mmq_get_nwarps(mmq_x);
 
     const int shmem_x = txs.qs*sizeof(int) + txs.dm*sizeof(half2) + txs.sc*sizeof(int);
     const int shmem_y = mmq_x*WARP_SIZE*sizeof(int) + mmq_x*(WARP_SIZE/QI8_1)*sizeof(half2);
-    return shmem_x + GGML_PAD(shmem_y, nwarps*WARP_SIZE*sizeof(int));
+    return shmem_x + GGML_PAD(shmem_y, MMQ_NWARPS*WARP_SIZE*sizeof(int));
 }
 
-template <ggml_type type, int mmq_x, int nwarps>
-static void launch_mul_mat_q(const mmq_args & args, cudaStream_t stream) {
+template <ggml_type type, int mmq_x>
+static void launch_mul_mat_q(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) {
     const int id = ggml_cuda_get_device();
     const int cc = ggml_cuda_info().devices[id].cc;
-    const int mmq_y = get_mmq_y_host(cc, mmq_x);
+    const int nsm = ggml_cuda_info().devices[id].nsm;
+    const int mmq_y = get_mmq_y_host(cc);
 
-    const int block_num_x = (args.ne01 + mmq_y - 1) / mmq_y;
-    const int block_num_y = (args.ne11 + mmq_x - 1) / mmq_x;
-    const dim3 block_nums(block_num_x, block_num_y, 1);
-    const dim3 block_dims(WARP_SIZE, nwarps, 1);
+    const dim3 block_dims(WARP_SIZE, MMQ_NWARPS, 1);
 
     const int shmem = mmq_get_shmem(type, mmq_x, mmq_y);
 
 #if !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
     static bool shmem_limit_raised[GGML_CUDA_MAX_DEVICES] = {false};
     if (!shmem_limit_raised[id]) {
-        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, nwarps, false>, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
-        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, nwarps, true>,  cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
+        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, MMQ_NWARPS, false>, cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
+        CUDA_CHECK(cudaFuncSetAttribute(mul_mat_q<type, mmq_x, MMQ_NWARPS, true>,  cudaFuncAttributeMaxDynamicSharedMemorySize, shmem));
         shmem_limit_raised[id] = true;
     }
 #endif // !(defined(GGML_USE_HIPBLAS) && defined(__HIP_PLATFORM_AMD__))
 
+    const int nty = (args.ne01 + mmq_y - 1) / mmq_y;
+    const int ntx = (args.ne11 + mmq_x - 1) / mmq_x;
+    const dim3 block_nums_xy_tiling(nty, ntx, 1);
+
+    const bool use_stream_k = cc >= CC_VOLTA && cc < CC_OFFSET_AMD;
+    if (!use_stream_k) {
+        if (args.ne01 % mmq_y == 0) {
+            constexpr bool need_check = false;
+            mul_mat_q<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_xy_tiling, block_dims, shmem, stream>>>
+                (args.x, args.y, args.dst, nullptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+        } else {
+            constexpr bool need_check = true;
+            mul_mat_q<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_xy_tiling, block_dims, shmem, stream>>>
+                (args.x, args.y, args.dst, nullptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+        }
+        return;
+    }
+
+    const dim3 block_nums_mmq(nsm, 1, 1);
+
+    ggml_cuda_pool & pool = ctx.pool();
+    ggml_cuda_pool_alloc<float> tmp_fixup(pool, block_nums_mmq.x * mmq_x*mmq_y);
+
     if (args.ne01 % mmq_y == 0) {
-        const bool need_check = false;
-        mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
-            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+        constexpr bool need_check = false;
+
+        mul_mat_q<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_mmq, block_dims, shmem, stream>>>
+            (args.x, args.y, args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+
+        mul_mat_q_stream_k_fixup<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_xy_tiling, block_dims, 0, stream>>>
+            (args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.ne11, args.ne0, block_nums_mmq.x);
     } else {
-        const bool need_check = true;
-        mul_mat_q<type, mmq_x, nwarps, need_check><<<block_nums, block_dims, shmem, stream>>>
-            (args.x, args.y, args.dst, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+        constexpr bool need_check = true;
+
+        mul_mat_q<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_mmq, block_dims, shmem, stream>>>
+            (args.x, args.y, args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.stride01, args.ne10, args.ne11, args.stride11, args.ne0);
+
+        mul_mat_q_stream_k_fixup<type, mmq_x, MMQ_NWARPS, need_check><<<block_nums_xy_tiling, block_dims, 0, stream>>>
+            (args.dst, tmp_fixup.ptr, args.ne00, args.ne01, args.ne11, args.ne0, block_nums_mmq.x);
     }
 }
 
 template <ggml_type type>
-void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
+void mul_mat_q_case(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) {
     const int id    = ggml_cuda_get_device();
     const int nsm   = ggml_cuda_info().devices[id].nsm;
     const int cc    = ggml_cuda_info().devices[id].cc;
     const int smpbo = ggml_cuda_info().devices[id].smpbo;
 
     const int mmq_x_max = get_mmq_x_max_host(cc);
-    const int mmq_y = get_mmq_y_host(cc, mmq_x_max);
+    const int mmq_y = get_mmq_y_host(cc);
     const int block_num_y = (args.ne01 + mmq_y - 1) / mmq_y;
+    const bool use_stream_k = cc >= CC_VOLTA && cc < CC_OFFSET_AMD;
 
     int mmq_x_best  = 0;
-    int nwaves_best = INT_MAX;
+    int nparts_best = INT_MAX;
 
-    for (int mmq_x = 8; mmq_x <= mmq_x_max && nwaves_best > 1; mmq_x += 8) {
-        const int block_num_x = (args.ne11 + mmq_x - 1) / mmq_x;
-        const int nwaves = (block_num_x*block_num_y + nsm - 1) / nsm;
+    for (int mmq_x = 8; mmq_x <= mmq_x_max && nparts_best > 1; mmq_x += 8) {
+        const int ntiles_x = (args.ne11 + mmq_x - 1) / mmq_x;
+        const int nwaves_xy_tiling = ntiles_x*block_num_y;
 
-        if (nwaves < nwaves_best && mmq_get_shmem(type, mmq_x, mmq_y) <= smpbo) {
+        const int nparts = use_stream_k ? ntiles_x : nwaves_xy_tiling;
+
+        if (nparts < nparts_best && mmq_get_shmem(type, mmq_x, mmq_y) <= smpbo) {
             mmq_x_best  = mmq_x;
-            nwaves_best = nwaves;
+            nparts_best = nparts;
         }
     }
 
     switch (mmq_x_best) {
         case   8:
-            launch_mul_mat_q<type,   8, mmq_get_nwarps(  8)>(args, stream);
+            launch_mul_mat_q<type,   8>(ctx, args, stream);
             break;
         case  16:
-            launch_mul_mat_q<type,  16, mmq_get_nwarps( 16)>(args, stream);
+            launch_mul_mat_q<type,  16>(ctx, args, stream);
             break;
         case  24:
-            launch_mul_mat_q<type,  24, mmq_get_nwarps( 24)>(args, stream);
+            launch_mul_mat_q<type,  24>(ctx, args, stream);
             break;
         case  32:
-            launch_mul_mat_q<type,  32, mmq_get_nwarps( 32)>(args, stream);
+            launch_mul_mat_q<type,  32>(ctx, args, stream);
             break;
         case  40:
-            launch_mul_mat_q<type,  40, mmq_get_nwarps( 40)>(args, stream);
+            launch_mul_mat_q<type,  40>(ctx, args, stream);
             break;
         case  48:
-            launch_mul_mat_q<type,  48, mmq_get_nwarps( 48)>(args, stream);
+            launch_mul_mat_q<type,  48>(ctx, args, stream);
             break;
         case  56:
-            launch_mul_mat_q<type,  56, mmq_get_nwarps( 56)>(args, stream);
+            launch_mul_mat_q<type,  56>(ctx, args, stream);
             break;
         case  64:
-            launch_mul_mat_q<type,  64, mmq_get_nwarps( 64)>(args, stream);
+            launch_mul_mat_q<type,  64>(ctx, args, stream);
             break;
         case  72:
-            launch_mul_mat_q<type,  72, mmq_get_nwarps( 72)>(args, stream);
+            launch_mul_mat_q<type,  72>(ctx, args, stream);
             break;
         case  80:
-            launch_mul_mat_q<type,  80, mmq_get_nwarps( 80)>(args, stream);
+            launch_mul_mat_q<type,  80>(ctx, args, stream);
             break;
         case  88:
-            launch_mul_mat_q<type,  88, mmq_get_nwarps( 88)>(args, stream);
+            launch_mul_mat_q<type,  88>(ctx, args, stream);
             break;
         case  96:
-            launch_mul_mat_q<type,  96, mmq_get_nwarps( 96)>(args, stream);
+            launch_mul_mat_q<type,  96>(ctx, args, stream);
             break;
         case 104:
-            launch_mul_mat_q<type, 104, mmq_get_nwarps(104)>(args, stream);
+            launch_mul_mat_q<type, 104>(ctx, args, stream);
             break;
         case 112:
-            launch_mul_mat_q<type, 112, mmq_get_nwarps(112)>(args, stream);
+            launch_mul_mat_q<type, 112>(ctx, args, stream);
             break;
         case 120:
-            launch_mul_mat_q<type, 120, mmq_get_nwarps(120)>(args, stream);
+            launch_mul_mat_q<type, 120>(ctx, args, stream);
             break;
         case 128:
-            launch_mul_mat_q<type, 128, mmq_get_nwarps(128)>(args, stream);
+            launch_mul_mat_q<type, 128>(ctx, args, stream);
             break;
         default:
             fprintf(stderr, "mmq_x_best=%d\n", mmq_x_best);
@@ -2114,7 +2293,7 @@ void mul_mat_q_case(const mmq_args & args, cudaStream_t stream) {
 }
 
 #define DECL_MMQ_CASE(type)                                                        \
-    template void mul_mat_q_case<type>(const mmq_args & args, cudaStream_t stream) \
+    template void mul_mat_q_case<type>(ggml_backend_cuda_context & ctx, const mmq_args & args, cudaStream_t stream) \
 
 extern DECL_MMQ_CASE(GGML_TYPE_Q4_0);
 extern DECL_MMQ_CASE(GGML_TYPE_Q4_1);

From de391e4c803383bbea054b6edd016e78c024a74d Mon Sep 17 00:00:00 2001
From: luoyu-intel <yu.luo@intel.com>
Date: Thu, 20 Jun 2024 13:19:05 +0000
Subject: [PATCH 111/131] [SYCL] Fix windows build and inference (#8003)

* add sycl preset

* fix debug link error. fix windows crash

* update README
---
 CMakeLists.txt                   |   7 +-
 CMakePresets.json                |  31 ++-
 README-sycl.md                   |  30 ++-
 examples/sycl/win-build-sycl.bat |   6 +-
 ggml-sycl.cpp                    |   2 +-
 ggml-sycl/dpct/helper.hpp        | 392 ++++++++++++++-----------------
 ggml.h                           |   6 +
 7 files changed, 230 insertions(+), 244 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index c90414afa..9cfe08d7b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -665,6 +665,7 @@ if (LLAMA_SYCL)
     #todo: AOT
 
     find_package(IntelSYCL REQUIRED)
+    find_package(MKL REQUIRED)
 
     message(STATUS "SYCL found")
 
@@ -679,11 +680,9 @@ if (LLAMA_SYCL)
     endif()
 
     add_compile_options(-I./) #include DPCT
-    add_compile_options(-I/${SYCL_INCLUDE_DIR})
 
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-narrowing")
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O3")
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib")
     if (LLAMA_SYCL_TARGET STREQUAL "NVIDIA")
         set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl-targets=nvptx64-nvidia-cuda")
     endif()
@@ -693,8 +692,10 @@ if (LLAMA_SYCL)
     list(APPEND GGML_SOURCES_SYCL "ggml-sycl.cpp")
 
     if (WIN32)
-        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl sycl7 OpenCL mkl_sycl_blas_dll.lib mkl_intel_ilp64_dll.lib mkl_sequential_dll.lib mkl_core_dll.lib)
+        set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} IntelSYCL::SYCL_CXX MKL::MKL MKL::MKL_SYCL)
     else()
+        add_compile_options(-I/${SYCL_INCLUDE_DIR})
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsycl -L${MKLROOT}/lib")
         if (LLAMA_SYCL_TARGET STREQUAL "INTEL")
             set(LLAMA_EXTRA_LIBS ${LLAMA_EXTRA_LIBS} -fsycl OpenCL mkl_core pthread m dl mkl_sycl_blas mkl_intel_ilp64 mkl_tbb_thread)
         elseif (LLAMA_SYCL_TARGET STREQUAL "NVIDIA")
diff --git a/CMakePresets.json b/CMakePresets.json
index e2b7a79e3..fba22af9a 100644
--- a/CMakePresets.json
+++ b/CMakePresets.json
@@ -11,9 +11,21 @@
             "CMAKE_INSTALL_RPATH": "$ORIGIN;$ORIGIN/.."
         }
     },
-
+    {
+        "name": "sycl-base",
+        "hidden": true,
+        "generator": "Ninja",
+        "binaryDir": "${sourceDir}/build-${presetName}",
+        "cacheVariables": {
+            "CMAKE_EXPORT_COMPILE_COMMANDS": "ON",
+            "CMAKE_CXX_COMPILER": "icx",
+            "LLAMA_SYCL": "ON",
+            "CMAKE_INSTALL_RPATH": "$ORIGIN;$ORIGIN/.."
+        }
+    },
     { "name": "debug",   "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "Debug" } },
-    { "name": "release", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "RelWithDebInfo" } },
+    { "name": "release", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "Release" } },
+    { "name": "reldbg", "hidden": true, "cacheVariables": { "CMAKE_BUILD_TYPE": "RelWithDebInfo" } },
     { "name": "static",  "hidden": true, "cacheVariables": { "LLAMA_STATIC": "ON" } },
 
     {
@@ -35,15 +47,18 @@
     },
 
     { "name": "arm64-windows-llvm-debug"  , "inherits": [ "base", "arm64-windows-llvm",  "debug"   ] },
-    { "name": "arm64-windows-llvm-release", "inherits": [ "base", "arm64-windows-llvm",  "release" ] },
-    { "name": "arm64-windows-llvm+static-release", "inherits": [ "base", "arm64-windows-llvm",  "release", "static" ] },
+    { "name": "arm64-windows-llvm-release", "inherits": [ "base", "arm64-windows-llvm",  "reldbg" ] },
+    { "name": "arm64-windows-llvm+static-release", "inherits": [ "base", "arm64-windows-llvm",  "reldbg", "static" ] },
 
     { "name": "arm64-windows-msvc-debug"  , "inherits": [ "base", "arm64-windows-msvc",  "debug"   ] },
-    { "name": "arm64-windows-msvc-release", "inherits": [ "base", "arm64-windows-msvc",  "release" ] },
-    { "name": "arm64-windows-msvc+static-release", "inherits": [ "base", "arm64-windows-msvc",  "release", "static" ] },
+    { "name": "arm64-windows-msvc-release", "inherits": [ "base", "arm64-windows-msvc",  "reldbg" ] },
+    { "name": "arm64-windows-msvc+static-release", "inherits": [ "base", "arm64-windows-msvc",  "reldbg", "static" ] },
 
     { "name": "x64-windows-msvc-debug"  , "inherits": [ "base", "debug"   ] },
-    { "name": "x64-windows-msvc-release", "inherits": [ "base", "release" ] },
-    { "name": "x64-windows-msvc+static-release", "inherits": [ "base", "release", "static" ] }
+    { "name": "x64-windows-msvc-release", "inherits": [ "base", "reldbg" ] },
+    { "name": "x64-windows-msvc+static-release", "inherits": [ "base", "reldbg", "static" ] },
+
+    { "name": "x64-windows-sycl-debug"  , "inherits": [ "sycl-base", "debug"   ] },
+    { "name": "x64-windows-sycl-release", "inherits": [ "sycl-base", "release" ] }
   ]
 }
diff --git a/README-sycl.md b/README-sycl.md
index bd1984706..b7e2bb12a 100644
--- a/README-sycl.md
+++ b/README-sycl.md
@@ -410,15 +410,9 @@ Output (example):
 
 4. Install build tools
 
-a. Download & install cmake for Windows: https://cmake.org/download/
+a. Download & install cmake for Windows: https://cmake.org/download/ (CMake can also be installed from Visual Studio Installer)
+b. The new Visual Studio will install Ninja as default. (If not, please install it manually: https://ninja-build.org/)
 
-b. Download & install mingw-w64 make for Windows provided by w64devkit
-
-- Download the 1.19.0 version of [w64devkit](https://github.com/skeeto/w64devkit/releases/download/v1.19.0/w64devkit-1.19.0.zip).
-
-- Extract `w64devkit` on your pc.
-
-- Add the **bin** folder path in the Windows system PATH environment (for e.g. `C:\xxx\w64devkit\bin\`).
 
 ### II. Build llama.cpp
 
@@ -428,10 +422,10 @@ On the oneAPI command line window, step into the llama.cpp main directory and ru
 @call "C:\Program Files (x86)\Intel\oneAPI\setvars.bat" intel64 --force
 
 # Option 1: Use FP32 (recommended for better performance in most cases)
-cmake -B build -G "MinGW Makefiles" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release
+cmake -B build -G "Ninja" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release
 
 # Option 2: Or FP16
-cmake -B build -G "MinGW Makefiles" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
+cmake -B build -G "Ninja" -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx  -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
 
 cmake --build build --config Release -j
 ```
@@ -441,9 +435,23 @@ Otherwise, run the `win-build-sycl.bat` wrapper which encapsulates the former in
 .\examples\sycl\win-build-sycl.bat
 ```
 
+Or, use CMake presets to build:
+```sh
+cmake --preset x64-windows-sycl-release
+cmake --build build-x64-windows-sycl-release -j --target llama-cli
+
+cmake -DLLAMA_SYCL_F16=ON --preset x64-windows-sycl-release
+cmake --build build-x64-windows-sycl-release -j --target llama-cli
+
+cmake --preset x64-windows-sycl-debug
+cmake --build build-x64-windows-sycl-debug -j --target llama-cli
+```
+
+Or, you can use Visual Studio to open llama.cpp folder as a CMake project. Choose the sycl CMake presets (`x64-windows-sycl-release` or `x64-windows-sycl-debug`) before you compile the project.
+
 *Notes:*
 
-- By default, calling `make` will build all target binary files. In case of a minimal experimental setup, the user can build the inference executable only through `make llama-cli`.
+- In case of a minimal experimental setup, the user can build the inference executable only through `cmake --build build --config Release -j --target llama-cli`.
 
 ### III. Run the inference
 
diff --git a/examples/sycl/win-build-sycl.bat b/examples/sycl/win-build-sycl.bat
index b8037aae8..027173b0a 100644
--- a/examples/sycl/win-build-sycl.bat
+++ b/examples/sycl/win-build-sycl.bat
@@ -13,16 +13,16 @@ if %errorlevel% neq 0 goto ERROR
 
 ::  for FP16
 ::  faster for long-prompt inference
-::  cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
+::  cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DLLAMA_SYCL_F16=ON
 
 ::  for FP32
-cmake -G "MinGW Makefiles" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
+cmake -G "Ninja" ..  -DLLAMA_SYCL=ON -DCMAKE_C_COMPILER=cl -DCMAKE_CXX_COMPILER=icx -DBUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release
 if %errorlevel% neq 0 goto ERROR
 ::  build example/main only
 ::  make main
 
 ::  build all binary
-make -j
+cmake --build . -j
 if %errorlevel% neq 0 goto ERROR
 
 cd ..
diff --git a/ggml-sycl.cpp b/ggml-sycl.cpp
index 485f06ad3..e5ddf4a34 100644
--- a/ggml-sycl.cpp
+++ b/ggml-sycl.cpp
@@ -4911,7 +4911,7 @@ static void ggml_sycl_cpy(ggml_backend_sycl_context & ctx, const ggml_tensor *sr
     GGML_ASSERT(ggml_nbytes(src0) <= INT_MAX);
     GGML_ASSERT(ggml_nbytes(src1) <= INT_MAX);
 
-    GGML_TENSOR_BINARY_OP_LOCALS;
+    GGML_TENSOR_BINARY_OP_LOCALS01;
 
     SYCL_CHECK(ggml_sycl_set_device(ctx.device));
     queue_ptr main_stream = ctx.stream();
diff --git a/ggml-sycl/dpct/helper.hpp b/ggml-sycl/dpct/helper.hpp
index 017fd6ee1..1ff297218 100644
--- a/ggml-sycl/dpct/helper.hpp
+++ b/ggml-sycl/dpct/helper.hpp
@@ -588,266 +588,222 @@ namespace dpct
         out = prop;
     }
 
-    /// dpct device extension
-    class device_ext : public sycl::device
-    {
-        typedef std::mutex mutex_type;
+   /// dpct device extension
+    class device_ext : public sycl::device {
+      typedef std::mutex mutex_type;
 
-    public:
-        device_ext() : sycl::device(), _ctx(*this) {}
-        ~device_ext()
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            clear_queues();
-        }
-        device_ext(const sycl::device &base) : sycl::device(base), _ctx(*this)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            init_queues();
-        }
+     public:
+      device_ext() : sycl::device() {}
+      ~device_ext() {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        clear_queues();
+      }
+      device_ext(const sycl::device &base) : sycl::device(base) {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        init_queues();
+      }
 
-        int is_native_atomic_supported() { return 0; }
-        int get_major_version() const
-        {
-            return dpct::get_major_version(*this);
-        }
+      int is_native_atomic_supported() { return 0; }
+      int get_major_version() const { return dpct::get_major_version(*this); }
 
-        int get_minor_version() const
-        {
-            return dpct::get_minor_version(*this);
-        }
+      int get_minor_version() const { return dpct::get_minor_version(*this); }
 
-        int get_max_compute_units() const
-        {
-            return get_device_info().get_max_compute_units();
-        }
+      int get_max_compute_units() const {
+        return get_device_info().get_max_compute_units();
+      }
 
-        /// Return the maximum clock frequency of this device in KHz.
-        int get_max_clock_frequency() const
-        {
-            return get_device_info().get_max_clock_frequency();
-        }
+      /// Return the maximum clock frequency of this device in KHz.
+      int get_max_clock_frequency() const {
+        return get_device_info().get_max_clock_frequency();
+      }
 
-        int get_integrated() const { return get_device_info().get_integrated(); }
+      int get_integrated() const { return get_device_info().get_integrated(); }
 
-        int get_max_sub_group_size() const
-        {
-            return get_device_info().get_max_sub_group_size();
-        }
+      int get_max_sub_group_size() const {
+        return get_device_info().get_max_sub_group_size();
+      }
 
-        int get_max_register_size_per_work_group() const
-        {
-            return get_device_info().get_max_register_size_per_work_group();
-        }
+      int get_max_register_size_per_work_group() const {
+        return get_device_info().get_max_register_size_per_work_group();
+      }
 
-        int get_max_work_group_size() const
-        {
-            return get_device_info().get_max_work_group_size();
-        }
+      int get_max_work_group_size() const {
+        return get_device_info().get_max_work_group_size();
+      }
 
-        int get_mem_base_addr_align() const
-        {
-            return get_info<sycl::info::device::mem_base_addr_align>();
-        }
+      int get_mem_base_addr_align() const {
+        return get_info<sycl::info::device::mem_base_addr_align>();
+      }
 
-        size_t get_global_mem_size() const
-        {
-            return get_device_info().get_global_mem_size();
-        }
+      size_t get_global_mem_size() const {
+        return get_device_info().get_global_mem_size();
+      }
 
-        size_t get_max_mem_alloc_size() const
-        {
-            return get_device_info().get_max_mem_alloc_size();
-        }
+      size_t get_max_mem_alloc_size() const {
+        return get_device_info().get_max_mem_alloc_size();
+      }
 
-        /// Get the number of bytes of free and total memory on the SYCL device.
-        /// \param [out] free_memory The number of bytes of free memory on the SYCL device.
-        /// \param [out] total_memory The number of bytes of total memory on the SYCL device.
-        void get_memory_info(size_t &free_memory, size_t &total_memory)
-        {
-            total_memory = get_device_info().get_global_mem_size();
-            const char *warning_info = "get_memory_info: [warning] ext_intel_free_memory is not "
-                                 "supported (export/set ZES_ENABLE_SYSMAN=1 to support), "
-                                 "use total memory as free memory";
+      /// Get the number of bytes of free and total memory on the SYCL device.
+      /// \param [out] free_memory The number of bytes of free memory on the
+      /// SYCL device. \param [out] total_memory The number of bytes of total
+      /// memory on the SYCL device.
+      void get_memory_info(size_t &free_memory, size_t &total_memory) {
+        total_memory = get_device_info().get_global_mem_size();
+        const char *warning_info =
+            "get_memory_info: [warning] ext_intel_free_memory is not "
+            "supported (export/set ZES_ENABLE_SYSMAN=1 to support), "
+            "use total memory as free memory";
 #if (defined(__SYCL_COMPILER_VERSION) && __SYCL_COMPILER_VERSION >= 20221105)
-            if (!has(sycl::aspect::ext_intel_free_memory))
-            {
-                std::cerr << warning_info << std::endl;
-                free_memory = total_memory;
-            }
-            else
-            {
-                free_memory = get_info<sycl::ext::intel::info::device::free_memory>();
-            }
+        if (!has(sycl::aspect::ext_intel_free_memory)) {
+          std::cerr << warning_info << std::endl;
+          free_memory = total_memory;
+        } else {
+          free_memory = get_info<sycl::ext::intel::info::device::free_memory>();
+        }
 #else
-            std::cerr << warning_info << std::endl;
-            free_memory = total_memory;
+        std::cerr << warning_info << std::endl;
+        free_memory = total_memory;
 #if defined(_MSC_VER) && !defined(__clang__)
 #pragma message("Querying the number of bytes of free memory is not supported")
 #else
 #warning "Querying the number of bytes of free memory is not supported"
 #endif
 #endif
+      }
+
+      void get_device_info(device_info &out) const {
+        dpct::get_device_info(out, *this);
+      }
+
+      device_info get_device_info() const {
+        device_info prop;
+        dpct::get_device_info(prop, *this);
+        return prop;
+      }
+
+      void reset() {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        clear_queues();
+        init_queues();
+      }
+
+      sycl::queue &in_order_queue() { return _q_in_order; }
+
+      sycl::queue &out_of_order_queue() { return _q_out_of_order; }
+
+      sycl::queue &default_queue() { return in_order_queue(); }
+
+      void queues_wait_and_throw() {
+        std::unique_lock<mutex_type> lock(m_mutex);
+        lock.unlock();
+        for (auto &q : _queues) {
+          q.wait_and_throw();
         }
+        // Guard the destruct of current_queues to make sure the ref count is
+        // safe.
+        lock.lock();
+      }
 
-        void get_device_info(device_info &out) const
-        {
-            dpct::get_device_info(out, *this);
-        }
+      sycl::queue create_queue(bool enable_exception_handler = false) {
+        return create_in_order_queue(enable_exception_handler);
+      }
 
-        device_info get_device_info() const
-        {
-            device_info prop;
-            dpct::get_device_info(prop, *this);
-            return prop;
-        }
+      sycl::queue create_queue(sycl::device device,
+                               bool enable_exception_handler = false) {
+        return create_in_order_queue(device, enable_exception_handler);
+      }
 
-        void reset()
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            clear_queues();
-            init_queues();
-        }
+      sycl::queue create_in_order_queue(bool enable_exception_handler = false) {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        return create_queue_impl(enable_exception_handler,
+                                 sycl::property::queue::in_order());
+      }
 
-        sycl::queue &in_order_queue() { return *_q_in_order; }
-
-        sycl::queue &out_of_order_queue() { return *_q_out_of_order; }
-
-        sycl::queue &default_queue()
-        {
-            return in_order_queue();
-        }
-
-        void queues_wait_and_throw()
-        {
-            std::unique_lock<mutex_type> lock(m_mutex);
-            std::vector<std::shared_ptr<sycl::queue>> current_queues(
-                _queues);
-            lock.unlock();
-            for (const auto &q : current_queues)
-            {
-                q->wait_and_throw();
-            }
-            // Guard the destruct of current_queues to make sure the ref count is safe.
-            lock.lock();
-        }
-
-        sycl::queue *create_queue(bool enable_exception_handler = false)
-        {
-            return create_in_order_queue(enable_exception_handler);
-        }
-
-        sycl::queue *create_queue(sycl::context context, sycl::device device,
-                                bool enable_exception_handler = false) {
-            return create_in_order_queue(context, device, enable_exception_handler);
-        }
-
-        sycl::queue *create_in_order_queue(bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(enable_exception_handler,
-                                    sycl::property::queue::in_order());
-        }
-
-        sycl::queue *create_in_order_queue(sycl::context context, sycl::device device,
+      sycl::queue create_in_order_queue(sycl::device device,
                                         bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(context, device, enable_exception_handler,
-                                    sycl::property::queue::in_order());
-        }
+        std::lock_guard<mutex_type> lock(m_mutex);
+        return create_queue_impl(device, enable_exception_handler,
+                                 sycl::property::queue::in_order());
+      }
 
-        sycl::queue *create_out_of_order_queue(bool enable_exception_handler = false) {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return create_queue_impl(enable_exception_handler);
-        }
+      sycl::queue create_out_of_order_queue(
+          bool enable_exception_handler = false) {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        return create_queue_impl(enable_exception_handler);
+      }
 
-        void destroy_queue(sycl::queue *&queue)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            _queues.erase(std::remove_if(_queues.begin(), _queues.end(),
-                                         [=](const std::shared_ptr<sycl::queue> &q) -> bool
-                                         {
-                                             return q.get() == queue;
-                                         }),
-                          _queues.end());
-            queue = nullptr;
-        }
-        void set_saved_queue(sycl::queue *q)
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            _saved_queue = q;
-        }
-        sycl::queue *get_saved_queue() const
-        {
-            std::lock_guard<mutex_type> lock(m_mutex);
-            return _saved_queue;
-        }
-        sycl::context get_context() const { return _ctx; }
+      void destroy_queue(sycl::queue queue) {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        _queues.clear();
+      }
+      void set_saved_queue(sycl::queue q) {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        _saved_queue = q;
+      }
+      sycl::queue get_saved_queue() const {
+        std::lock_guard<mutex_type> lock(m_mutex);
+        return _saved_queue;
+      }
 
-    private:
-        void clear_queues()
-        {
-            _queues.clear();
-            _q_in_order = _q_out_of_order = _saved_queue = nullptr;
-        }
+     private:
+      void clear_queues() { _queues.clear(); }
 
-        void init_queues()
-        {
-            _q_in_order = create_queue_impl(true, sycl::property::queue::in_order());
-            _q_out_of_order = create_queue_impl(true);
-            _saved_queue = &default_queue();
-        }
+      void init_queues() {
+        _q_in_order =
+            create_queue_impl(true, sycl::property::queue::in_order());
+        _q_out_of_order = create_queue_impl(true);
+        _saved_queue = default_queue();
+      }
 
-        /// Caller should acquire resource \p m_mutex before calling this function.
-        template <class... Properties>
-        sycl::queue *create_queue_impl(bool enable_exception_handler,
-                                       Properties... properties)
-        {
-            sycl::async_handler eh = {};
-            if (enable_exception_handler)
-            {
-                eh = exception_handler;
-            }
-            _queues.push_back(std::make_shared<sycl::queue>(
-                _ctx, *this, eh,
-                sycl::property_list(
+      /// Caller should acquire resource \p m_mutex before calling this
+      /// function.
+      template <class... Properties>
+      sycl::queue create_queue_impl(bool enable_exception_handler,
+                                    Properties... properties) {
+        sycl::async_handler eh = {};
+        if (enable_exception_handler) {
+          eh = exception_handler;
+        }
+        auto q = sycl::queue(*this, eh,
+                             sycl::property_list(
 #ifdef DPCT_PROFILING_ENABLED
-                    sycl::property::queue::enable_profiling(),
+                                 sycl::property::queue::enable_profiling(),
 #endif
-                    properties...)));
+                                 properties...));
+        _queues.push_back(q);
 
-            return _queues.back().get();
-        }
+        return _queues.back();
+      }
 
-        template <class... Properties>
-        sycl::queue *create_queue_impl(sycl::context context, sycl::device device,
+      template <class... Properties>
+      sycl::queue create_queue_impl(sycl::device device,
                                     bool enable_exception_handler,
                                     Properties... properties) {
-            sycl::async_handler eh = {};
-            if (enable_exception_handler) {
-                eh = exception_handler;
-            }
-            _queues.push_back(std::make_shared<sycl::queue>(
-                context, device, eh,
-                sycl::property_list(
-        #ifdef DPCT_PROFILING_ENABLED
-                    sycl::property::queue::enable_profiling(),
-        #endif
-                    properties...)));
-
-            return _queues.back().get();
+        sycl::async_handler eh = {};
+        if (enable_exception_handler) {
+          eh = exception_handler;
         }
+        _queues.push_back(
+            sycl::queue(device, eh,
+                        sycl::property_list(
+#ifdef DPCT_PROFILING_ENABLED
+                            sycl::property::queue::enable_profiling(),
+#endif
+                            properties...)));
 
-        void get_version(int &major, int &minor) const
-        {
-            detail::get_version(*this, major, minor);
-        }
-        sycl::queue *_q_in_order, *_q_out_of_order;
-        sycl::queue *_saved_queue;
-        sycl::context _ctx;
-        std::vector<std::shared_ptr<sycl::queue>> _queues;
-        mutable mutex_type m_mutex;
+        return _queues.back();
+      }
+
+      void get_version(int &major, int &minor) const {
+        detail::get_version(*this, major, minor);
+      }
+      sycl::queue _q_in_order, _q_out_of_order;
+      sycl::queue _saved_queue;
+      std::vector<sycl::queue> _queues;
+      mutable mutex_type m_mutex;
     };
 
+
     /// device manager
     class dev_mgr
     {
diff --git a/ggml.h b/ggml.h
index 13502a362..2e8fd0dbc 100644
--- a/ggml.h
+++ b/ggml.h
@@ -312,6 +312,12 @@
     GGML_TENSOR_LOCALS(int64_t, ne,  dst,  ne) \
     GGML_TENSOR_LOCALS(size_t,  nb,  dst,  nb)
 
+#define GGML_TENSOR_BINARY_OP_LOCALS01 \
+    GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne) \
+    GGML_TENSOR_LOCALS(size_t,  nb0, src0, nb) \
+    GGML_TENSOR_LOCALS(int64_t, ne1, src1, ne) \
+    GGML_TENSOR_LOCALS(size_t,  nb1, src1, nb)
+
 #ifdef  __cplusplus
 extern "C" {
 #endif

From abd894ad96a242043b8e197ec130d8649eead22e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Johannes=20G=C3=A4=C3=9Fler?= <johannesg@5d6.de>
Date: Thu, 20 Jun 2024 16:40:13 +0200
Subject: [PATCH 112/131] common: fix warning (#8036)

* common: fix warning

* Update common/common.cpp

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: slaren <slarengh@gmail.com>
---
 common/common.cpp | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index 73ff0e85b..9c23d001b 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -6,7 +6,6 @@
 #include "llama.h"
 
 #include <algorithm>
-#include <cassert>
 #include <cinttypes>
 #include <cmath>
 #include <codecvt>
@@ -2657,7 +2656,14 @@ static bool llama_download_file(const std::string & url, const std::string & pat
         }
 
         // Set the output file
-        std::unique_ptr<FILE, decltype(&fclose)> outfile(fopen(path_temporary.c_str(), "wb"), fclose);
+
+        struct FILE_deleter {
+            void operator()(FILE * f) const {
+                fclose(f);
+            }
+        };
+
+        std::unique_ptr<FILE, FILE_deleter> outfile(fopen(path_temporary.c_str(), "wb"));
         if (!outfile) {
             fprintf(stderr, "%s: error opening local file for writing: %s\n", __func__, path.c_str());
             return false;

From 17b291a6a581c47f24f99bad926b42617894f99f Mon Sep 17 00:00:00 2001
From: Hamdoud Hakem <90524568+hamdoudhakem@users.noreply.github.com>
Date: Thu, 20 Jun 2024 20:59:59 +0100
Subject: [PATCH 113/131] convert-hf : Fix the encoding in the
 convert-hf-to-gguf-update.py (#8040)

---
 convert-hf-to-gguf-update.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/convert-hf-to-gguf-update.py b/convert-hf-to-gguf-update.py
index fbf1e1ea3..67598b561 100755
--- a/convert-hf-to-gguf-update.py
+++ b/convert-hf-to-gguf-update.py
@@ -214,7 +214,7 @@ src_func = f"""
 """
 
 convert_py_pth = pathlib.Path("convert-hf-to-gguf.py")
-convert_py = convert_py_pth.read_text()
+convert_py = convert_py_pth.read_text(encoding="utf-8")
 convert_py = re.sub(
     r"(# Marker: Start get_vocab_base_pre)(.+?)( +# Marker: End get_vocab_base_pre)",
     lambda m: m.group(1) + src_func + m.group(3),
@@ -222,7 +222,7 @@ convert_py = re.sub(
     flags=re.DOTALL | re.MULTILINE,
 )
 
-convert_py_pth.write_text(convert_py)
+convert_py_pth.write_text(convert_py, encoding="utf-8")
 
 logger.info("+++ convert-hf-to-gguf.py was updated")
 

From b1ef562bc17fbf8ba436ddf2d89b78efd10d3e03 Mon Sep 17 00:00:00 2001
From: Hamdoud Hakem <90524568+hamdoudhakem@users.noreply.github.com>
Date: Thu, 20 Jun 2024 21:01:15 +0100
Subject: [PATCH 114/131] requirements : Bump torch and numpy for python3.12
 (#8041)

---
 requirements/requirements-convert-hf-to-gguf-update.txt | 2 +-
 requirements/requirements-convert-hf-to-gguf.txt        | 2 +-
 requirements/requirements-convert-legacy-llama.txt      | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/requirements/requirements-convert-hf-to-gguf-update.txt b/requirements/requirements-convert-hf-to-gguf-update.txt
index 6eacaf429..a7112f396 100644
--- a/requirements/requirements-convert-hf-to-gguf-update.txt
+++ b/requirements/requirements-convert-hf-to-gguf-update.txt
@@ -1,2 +1,2 @@
 -r ./requirements-convert-legacy-llama.txt
-torch~=2.1.1
+torch~=2.2.1
diff --git a/requirements/requirements-convert-hf-to-gguf.txt b/requirements/requirements-convert-hf-to-gguf.txt
index 6eacaf429..a7112f396 100644
--- a/requirements/requirements-convert-hf-to-gguf.txt
+++ b/requirements/requirements-convert-hf-to-gguf.txt
@@ -1,2 +1,2 @@
 -r ./requirements-convert-legacy-llama.txt
-torch~=2.1.1
+torch~=2.2.1
diff --git a/requirements/requirements-convert-legacy-llama.txt b/requirements/requirements-convert-legacy-llama.txt
index 7ab1228cb..1d07b0952 100644
--- a/requirements/requirements-convert-legacy-llama.txt
+++ b/requirements/requirements-convert-legacy-llama.txt
@@ -1,4 +1,4 @@
-numpy~=1.24.4
+numpy~=1.26.4
 sentencepiece~=0.2.0
 transformers>=4.40.1,<5.0.0
 gguf>=0.1.0

From 0e64591e8290037db6412665a56354b789a0597e Mon Sep 17 00:00:00 2001
From: Shuichi Tsutsumi <shuichi0526@gmail.com>
Date: Fri, 21 Jun 2024 14:30:58 +0900
Subject: [PATCH 115/131] swiftui : enable stream updating (#7754)

---
 .../llama.swiftui/Models/LlamaState.swift     | 37 +++++++++++--------
 1 file changed, 22 insertions(+), 15 deletions(-)

diff --git a/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift b/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift
index 5bde18917..2c1e3f61b 100644
--- a/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift
+++ b/examples/llama.swiftui/llama.swiftui/Models/LlamaState.swift
@@ -131,22 +131,29 @@ class LlamaState: ObservableObject {
 
         messageLog += "\(text)"
 
-        while await llamaContext.n_cur < llamaContext.n_len {
-            let result = await llamaContext.completion_loop()
-            messageLog += "\(result)"
+        Task.detached {
+            while await llamaContext.n_cur < llamaContext.n_len {
+                let result = await llamaContext.completion_loop()
+                await MainActor.run {
+                    self.messageLog += "\(result)"
+                }
+            }
+
+            let t_end = DispatchTime.now().uptimeNanoseconds
+            let t_generation = Double(t_end - t_heat_end) / self.NS_PER_S
+            let tokens_per_second = Double(await llamaContext.n_len) / t_generation
+
+            await llamaContext.clear()
+
+            await MainActor.run {
+                self.messageLog += """
+                    \n
+                    Done
+                    Heat up took \(t_heat)s
+                    Generated \(tokens_per_second) t/s\n
+                    """
+            }
         }
-
-        let t_end = DispatchTime.now().uptimeNanoseconds
-        let t_generation = Double(t_end - t_heat_end) / NS_PER_S
-        let tokens_per_second = Double(await llamaContext.n_len) / t_generation
-
-        await llamaContext.clear()
-        messageLog += """
-            \n
-            Done
-            Heat up took \(t_heat)s
-            Generated \(tokens_per_second) t/s\n
-            """
     }
 
     func bench() async {

From 80ea089d771f0c2d97afa8bead80ded412f600d7 Mon Sep 17 00:00:00 2001
From: Douglas Hanley <thesecretaryofwar@gmail.com>
Date: Fri, 21 Jun 2024 00:38:22 -0500
Subject: [PATCH 116/131] llama : allow pooled embeddings on any model (#7477)

* create append_pooling operation; allow to specify attention_type; add last token pooling; update examples

* find result_norm/result_embd tensors properly; update output allocation logic

* only use embd output for pooling_type NONE

* get rid of old causal_attn accessor

* take out attention_type; add in llama_set_embeddings

* bypass logits when doing non-NONE pooling
---
 common/common.cpp                |   2 +
 examples/embedding/embedding.cpp |  21 +++--
 examples/gritlm/gritlm.cpp       |   6 +-
 examples/retrieval/retrieval.cpp |  13 ++-
 llama.cpp                        | 152 ++++++++++++++++++++-----------
 llama.h                          |   6 +-
 6 files changed, 130 insertions(+), 70 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index 9c23d001b..64f160af1 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -541,6 +541,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         /**/ if (value == "none") { params.pooling_type = LLAMA_POOLING_TYPE_NONE; }
         else if (value == "mean") { params.pooling_type = LLAMA_POOLING_TYPE_MEAN; }
         else if (value == "cls") { params.pooling_type = LLAMA_POOLING_TYPE_CLS; }
+        else if (value == "last") { params.pooling_type = LLAMA_POOLING_TYPE_LAST; }
         else { invalid_param = true; }
         return true;
     }
@@ -1869,6 +1870,7 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
 
     options.push_back({ "backend" });
     options.push_back({ "*",           "       --rpc SERVERS",          "comma separated list of RPC servers" });
+
     if (llama_supports_mlock()) {
         options.push_back({ "*",           "       --mlock",                "force system to keep model in RAM rather than swapping or compressing" });
     }
diff --git a/examples/embedding/embedding.cpp b/examples/embedding/embedding.cpp
index 244751e00..b4b73c017 100644
--- a/examples/embedding/embedding.cpp
+++ b/examples/embedding/embedding.cpp
@@ -17,9 +17,10 @@ static std::vector<std::string> split_lines(const std::string & s) {
     return lines;
 }
 
-static void batch_add_seq(llama_batch & batch, const std::vector<int32_t> & tokens, int seq_id) {
-    for (size_t i = 0; i < tokens.size(); i++) {
-        llama_batch_add(batch, tokens[i], i, { seq_id }, i == tokens.size() - 1);
+static void batch_add_seq(llama_batch & batch, const std::vector<int32_t> & tokens, llama_seq_id seq_id) {
+    size_t n_tokens = tokens.size();
+    for (size_t i = 0; i < n_tokens; i++) {
+        llama_batch_add(batch, tokens[i], i, { seq_id }, true);
     }
 }
 
@@ -40,13 +41,7 @@ static void batch_decode(llama_context * ctx, llama_batch & batch, float * outpu
 
         // try to get sequence embeddings - supported only when pooling_type is not NONE
         const float * embd = llama_get_embeddings_seq(ctx, batch.seq_id[i][0]);
-        if (embd == NULL) {
-            embd = llama_get_embeddings_ith(ctx, i);
-            if (embd == NULL) {
-                fprintf(stderr, "%s: failed to get embeddings for token %d\n", __func__, i);
-                continue;
-            }
-        }
+        GGML_ASSERT(embd != NULL && "failed to get sequence embeddings");
 
         float * out = output + batch.seq_id[i][0] * n_embd;
         //TODO: I would also add a parameter here to enable normalization or not.
@@ -97,6 +92,12 @@ int main(int argc, char ** argv) {
     const int n_ctx_train = llama_n_ctx_train(model);
     const int n_ctx = llama_n_ctx(ctx);
 
+    const enum llama_pooling_type pooling_type = llama_pooling_type(ctx);
+    if (pooling_type == LLAMA_POOLING_TYPE_NONE) {
+        fprintf(stderr, "%s: error: pooling type NONE not supported\n", __func__);
+        return 1;
+    }
+
     if (n_ctx > n_ctx_train) {
         fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
                 __func__, n_ctx_train, n_ctx);
diff --git a/examples/gritlm/gritlm.cpp b/examples/gritlm/gritlm.cpp
index 213515791..2c61c2e1e 100644
--- a/examples/gritlm/gritlm.cpp
+++ b/examples/gritlm/gritlm.cpp
@@ -44,6 +44,7 @@ static std::vector<std::vector<float>> encode(llama_context * ctx, const std::ve
 
         // clear previous kv_cache values (irrelevant for embeddings)
         llama_kv_cache_clear(ctx);
+        llama_set_embeddings(ctx, true);
         llama_set_causal_attn(ctx, false);
 
         // run model
@@ -98,7 +99,9 @@ static std::string generate(llama_context * ctx, const std::string & prompt, boo
     llama_token eos_token = llama_token_eos(mdl);
 
     llama_kv_cache_clear(ctx);
+    llama_set_embeddings(ctx, false);
     llama_set_causal_attn(ctx, true);
+
     llama_batch bat = llama_batch_init(llama_n_batch(ctx), 0, 1);
 
     std::vector<llama_token> inputs = llama_tokenize(mdl, prompt, false, true);
@@ -166,8 +169,7 @@ int main(int argc, char * argv[]) {
 
     llama_model * mdl = llama_load_model_from_file(params.model.c_str(), mparams);
 
-    // create new context - set to embedding mode
-    cparams.embeddings = true;
+    // create generation context
     llama_context * ctx = llama_new_context_with_model(mdl, cparams);
 
     // ### Embedding/Representation ###
diff --git a/examples/retrieval/retrieval.cpp b/examples/retrieval/retrieval.cpp
index 55b7b2f70..eb89d16da 100644
--- a/examples/retrieval/retrieval.cpp
+++ b/examples/retrieval/retrieval.cpp
@@ -73,9 +73,10 @@ static std::vector<chunk> chunk_file(const std::string & filename, int chunk_siz
     return chunks;
 }
 
-static void batch_add_seq(llama_batch & batch, const std::vector<int32_t> & tokens, int seq_id) {
-    for (size_t i = 0; i < tokens.size(); i++) {
-        llama_batch_add(batch, tokens[i], i, { seq_id }, i == tokens.size() - 1);
+static void batch_add_seq(llama_batch & batch, const std::vector<int32_t> & tokens, llama_seq_id seq_id) {
+    size_t n_tokens = tokens.size();
+    for (size_t i = 0; i < n_tokens; i++) {
+        llama_batch_add(batch, tokens[i], i, { seq_id }, true);
     }
 }
 
@@ -160,6 +161,12 @@ int main(int argc, char ** argv) {
     const int n_ctx_train = llama_n_ctx_train(model);
     const int n_ctx = llama_n_ctx(ctx);
 
+    const enum llama_pooling_type pooling_type = llama_pooling_type(ctx);
+    if (pooling_type == LLAMA_POOLING_TYPE_NONE) {
+        fprintf(stderr, "%s: error: pooling type NONE not supported\n", __func__);
+        return 1;
+    }
+
     if (n_ctx > n_ctx_train) {
         fprintf(stderr, "%s: warning: model was trained on only %d context tokens (%d specified)\n",
                 __func__, n_ctx_train, n_ctx);
diff --git a/llama.cpp b/llama.cpp
index 8818c6928..9ca0b7479 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -7649,6 +7649,50 @@ struct llm_build_context {
         return lctx.inp_s_seq;
     }
 
+    struct ggml_cgraph * append_pooling(struct ggml_cgraph * gf) {
+        // find result_norm tensor for input
+        struct ggml_tensor * inp = nullptr;
+        for (int i = gf->n_nodes - 1; i >= 0; --i) {
+            inp = gf->nodes[i];
+            if (strcmp(inp->name, "result_norm") == 0 || strcmp(inp->name, "result_embd") == 0) {
+                break;
+            } else {
+                inp = nullptr;
+            }
+        }
+        GGML_ASSERT(inp != nullptr && "missing result_norm/result_embd tensor");
+
+        struct ggml_tensor * cur;
+
+        switch (pooling_type) {
+            case LLAMA_POOLING_TYPE_MEAN:
+                {
+                    struct ggml_tensor * inp_mean = build_inp_mean();
+                    cur = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, inp)), inp_mean);
+                } break;
+            case LLAMA_POOLING_TYPE_CLS:
+            case LLAMA_POOLING_TYPE_LAST:
+                {
+                    struct ggml_tensor * inp_cls = build_inp_cls();
+                    cur = ggml_get_rows(ctx0, inp, inp_cls);
+                } break;
+            case LLAMA_POOLING_TYPE_NONE:
+                {
+                    cur = inp;
+                } break;
+            default:
+                {
+                    GGML_ASSERT(false && "unknown pooling type");
+                } break;
+        }
+
+        cb(cur, "result_embd_pooled", -1);
+
+        ggml_build_forward_expand(gf, cur);
+
+        return gf;
+    }
+
     struct ggml_cgraph * build_llama() {
         struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
 
@@ -8629,8 +8673,6 @@ struct llm_build_context {
         if (model.arch != LLM_ARCH_JINA_BERT_V2) {
             inp_pos = build_inp_pos();
         }
-        struct ggml_tensor * inp_mean = build_inp_mean();
-        struct ggml_tensor * inp_cls  = build_inp_cls();
 
         // construct input embeddings (token, type, position)
         inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
@@ -8805,28 +8847,6 @@ struct llm_build_context {
         cur = inpL;
         cb(cur, "result_embd", -1);
 
-        // pooling layer
-        switch (pooling_type) {
-            case LLAMA_POOLING_TYPE_NONE:
-                {
-                    // nop
-                } break;
-            case LLAMA_POOLING_TYPE_MEAN:
-                {
-                    cur = ggml_mul_mat(ctx0, ggml_cont(ctx0, ggml_transpose(ctx0, cur)), inp_mean);
-                    cb(cur, "result_embd_pooled", -1);
-                } break;
-            case LLAMA_POOLING_TYPE_CLS:
-                {
-                    cur = ggml_get_rows(ctx0, cur, inp_cls);
-                    cb(cur, "result_embd_pooled", -1);
-                } break;
-            case LLAMA_POOLING_TYPE_UNSPECIFIED:
-                {
-                    GGML_ASSERT(false && "Invalid pooling type");
-                } break;
-        }
-
         ggml_build_forward_expand(gf, cur);
 
         return gf;
@@ -11911,6 +11931,11 @@ static struct ggml_cgraph * llama_build_graph(
             GGML_ASSERT(false);
     }
 
+    // add on pooling layer
+    if (lctx.cparams.embeddings) {
+        result = llm.append_pooling(result);
+    }
+
     llm.free();
 
     return result;
@@ -12000,7 +12025,7 @@ static void llama_set_inputs(llama_context & lctx, const llama_batch & batch) {
         // (!a || b) is a logical implication (a -> b)
         // !hparams.causal_attn -> !cparams.causal_attn
         (hparams.causal_attn || !cparams.causal_attn) &&
-        "causal attention with embedding models is not supported"
+        "causal attention is not supported by this model"
     );
 
     if (lctx.inp_KQ_mask) {
@@ -12132,6 +12157,37 @@ static void llama_set_inputs(llama_context & lctx, const llama_batch & batch) {
         }
     }
 
+    if (cparams.pooling_type == LLAMA_POOLING_TYPE_LAST) {
+        const int64_t n_tokens = batch.n_tokens;
+
+        GGML_ASSERT(lctx.inp_cls);
+        GGML_ASSERT(ggml_backend_buffer_is_host(lctx.inp_cls->buffer));
+
+        uint32_t * data = (uint32_t *) lctx.inp_cls->data;
+        memset(lctx.inp_cls->data, 0, n_tokens * ggml_element_size(lctx.inp_cls));
+
+        std::vector<int> last_pos(n_tokens, -1);
+        std::vector<int> last_row(n_tokens, -1);
+
+        for (int i = 0; i < n_tokens; ++i) {
+            const llama_seq_id seq_id = batch.seq_id[i][0];
+            const llama_pos    pos    = batch.pos[i];
+
+            GGML_ASSERT(seq_id < n_tokens && "seq_id cannot be larger than n_tokens with pooling_type == LAST");
+
+            if (pos >= last_pos[seq_id]) {
+                last_pos[seq_id] = pos;
+                last_row[seq_id] = i;
+            }
+        }
+
+        for (int i = 0; i < n_tokens; ++i) {
+            if (last_row[i] >= 0) {
+                data[i] = last_row[i];
+            }
+        }
+    }
+
     if (kv_self.recurrent) {
         const int64_t n_kv = kv_self.n;
 
@@ -12193,8 +12249,8 @@ static size_t llama_output_reserve(llama_context & lctx, size_t n_outputs) {
     const auto n_embd  = hparams.n_embd;
 
     // TODO: use a per-batch flag for logits presence instead
-    const bool has_logits = cparams.causal_attn;
-    const bool has_embd   = cparams.embeddings && (hparams.causal_attn || cparams.pooling_type == LLAMA_POOLING_TYPE_NONE);
+    const bool has_logits = !cparams.embeddings;
+    const bool has_embd   =  cparams.embeddings && (cparams.pooling_type == LLAMA_POOLING_TYPE_NONE);
 
     const size_t logits_size = has_logits ? n_vocab*n_outputs_max : 0;
     const size_t embd_size   = has_embd   ?  n_embd*n_outputs_max : 0;
@@ -12324,11 +12380,13 @@ static int llama_decode_internal(
     std::vector<std::vector<llama_seq_id>> seq_id;
 
     // count outputs
-    if (batch_all.logits) {
+    if (cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE) {
+        n_outputs = n_tokens_all;
+    } else if (batch_all.logits) {
         for (uint32_t i = 0; i < n_tokens_all; ++i) {
             n_outputs += batch_all.logits[i] != 0;
         }
-    } else if (lctx.logits_all || (cparams.embeddings && cparams.pooling_type != LLAMA_POOLING_TYPE_NONE)) {
+    } else if (lctx.logits_all) {
         n_outputs = n_tokens_all;
     } else {
         // keep last output only
@@ -12459,30 +12517,13 @@ static int llama_decode_internal(
             // no output
             res  = nullptr;
             embd = nullptr;
-        } else if (!hparams.causal_attn) {
-            res = nullptr; // do not extract logits for embedding models such as BERT
-
-            // token or sequence embeddings
-            embd = gf->nodes[gf->n_nodes - 1];
-
-            GGML_ASSERT(strcmp(embd->name, "result_embd") == 0 || strcmp(embd->name, "result_embd_pooled") == 0);
         } else if (cparams.embeddings) {
-            // the embeddings could be in the second to last tensor, or any of the previous tensors
-            int i_embd = gf->n_nodes - 2;
-            for (int i = 3; strcmp(embd->name, "result_norm") != 0; ++i) {
-                i_embd = gf->n_nodes - i;
-                if (i_embd < 0) { break; }
-                embd = gf->nodes[i_embd];
-            }
-            GGML_ASSERT(i_embd >= 0 && "missing result_norm tensor");
-
-            // TODO: use a per-batch flag to know when to skip logits while keeping embeddings
-            if (!cparams.causal_attn) {
-                res = nullptr; // do not extract logits when not needed
-                // skip computing logits
-                // TODO: is this safe?
-                gf->n_nodes = i_embd + 1;
+            res = nullptr; // do not extract logits for embedding case
+            embd = gf->nodes[gf->n_nodes - 1];
+            if (strcmp(embd->name, "result_embd_pooled") != 0) {
+                embd = gf->nodes[gf->n_nodes - 2];
             }
+            GGML_ASSERT(strcmp(embd->name, "result_embd_pooled") == 0 && "missing embeddings tensor");
         } else {
             embd = nullptr; // do not extract embeddings when not needed
             GGML_ASSERT(strcmp(res->name, "result_output") == 0 && "missing result_output tensor");
@@ -12551,11 +12592,10 @@ static int llama_decode_internal(
                             ggml_backend_tensor_get_async(backend_embd, embd, embd_out, 0, n_outputs_new*n_embd*sizeof(float));
                         }
                     } break;
-                case LLAMA_POOLING_TYPE_CLS:
                 case LLAMA_POOLING_TYPE_MEAN:
+                case LLAMA_POOLING_TYPE_CLS:
+                case LLAMA_POOLING_TYPE_LAST:
                     {
-                        GGML_ASSERT(strcmp(embd->name, "result_embd_pooled") == 0);
-
                         // extract sequence embeddings
                         auto & embd_seq_out = lctx.embd_seq;
                         embd_seq_out.clear();
@@ -18112,6 +18152,10 @@ void llama_set_abort_callback(struct llama_context * ctx, bool (*abort_callback)
     ctx->abort_callback_data = abort_callback_data;
 }
 
+void llama_set_embeddings(struct llama_context * ctx, bool embeddings) {
+    ctx->cparams.embeddings = embeddings;
+}
+
 void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn) {
     ctx->cparams.causal_attn = causal_attn;
 }
diff --git a/llama.h b/llama.h
index da310ffaf..05d8b092b 100644
--- a/llama.h
+++ b/llama.h
@@ -174,6 +174,7 @@ extern "C" {
         LLAMA_POOLING_TYPE_NONE = 0,
         LLAMA_POOLING_TYPE_MEAN = 1,
         LLAMA_POOLING_TYPE_CLS  = 2,
+        LLAMA_POOLING_TYPE_LAST = 3,
     };
 
     enum llama_split_mode {
@@ -293,7 +294,6 @@ extern "C" {
 
         enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
         enum llama_pooling_type      pooling_type;      // whether to pool (sum) embedding results by sequence id
-                                                        // (ignored if no pooling layer)
 
         // ref: https://github.com/ggerganov/llama.cpp/pull/2054
         float    rope_freq_base;   // RoPE base frequency, 0 = from model
@@ -786,6 +786,10 @@ extern "C" {
     // Get the number of threads used for prompt and batch processing (multiple token).
     LLAMA_API uint32_t llama_n_threads_batch(struct llama_context * ctx);
 
+    // Set whether the model is in embeddings model or not
+    // If true, embeddings will be returned but logits will not
+    LLAMA_API void llama_set_embeddings(struct llama_context * ctx, bool embeddings);
+
     // Set whether to use causal attention or not
     // If set to true, the model will only attend to the past tokens
     LLAMA_API void llama_set_causal_attn(struct llama_context * ctx, bool causal_attn);

From a927b0f3dd9a86ee042cd2bdcc8c9da4a855926b Mon Sep 17 00:00:00 2001
From: Georgi Gerganov <ggerganov@gmail.com>
Date: Fri, 21 Jun 2024 08:51:28 +0300
Subject: [PATCH 117/131] llama : optimize long word tokenization with WPM
 (#8034)

ggml-ci
---
 llama.cpp   | 17 ++++++++++++-----
 unicode.cpp |  1 +
 2 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/llama.cpp b/llama.cpp
index 9ca0b7479..a05a52b42 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -2293,6 +2293,8 @@ struct llama_vocab {
     enum llama_vocab_type     type     = LLAMA_VOCAB_TYPE_SPM;
     enum llama_vocab_pre_type type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
 
+    int max_token_len = 0; // used for optimizing longest token search
+
     std::unordered_map<token, id> token_to_id;
     std::vector<token_data>       id_to_token;
 
@@ -4939,6 +4941,7 @@ static void llm_load_vocab(
         GGML_ASSERT(unicode_cpts_from_utf8(word).size() > 0);
 
         vocab.token_to_id[word] = i;
+        vocab.max_token_len = std::max(vocab.max_token_len, (int) word.size());
 
         auto & token_data = vocab.id_to_token[i];
         token_data.text  = std::move(word);
@@ -5249,6 +5252,8 @@ static void llm_load_print_meta(llama_model_loader & ml, llama_model & model) {
     if (vocab.special_middle_id != -1) { LLAMA_LOG_INFO( "%s: MID token        = %d '%s'\n", __func__, vocab.special_middle_id, vocab.id_to_token[vocab.special_middle_id].text.c_str() ); }
     if (vocab.special_eot_id    != -1) { LLAMA_LOG_INFO( "%s: EOT token        = %d '%s'\n", __func__, vocab.special_eot_id,    vocab.id_to_token[vocab.special_eot_id].text.c_str() );    }
 
+    LLAMA_LOG_INFO("%s: max token length = %d\n", __func__, vocab.max_token_len);
+
     if (model.arch == LLM_ARCH_DEEPSEEK2) {
         LLAMA_LOG_INFO("%s: n_layer_dense_lead   = %d\n",     __func__, hparams.n_layer_dense_lead);
         LLAMA_LOG_INFO("%s: n_lora_q             = %d\n",     __func__, hparams.n_lora_q);
@@ -13488,7 +13493,7 @@ private:
 struct llm_tokenizer_wpm {
     llm_tokenizer_wpm(const llama_vocab & vocab): vocab(vocab) {}
 
-    void tokenize(const std::string & text, std::vector<llama_vocab::id> & output) {
+    void tokenize(const std::string & text, std::vector<llama_vocab::id> & output) const {
         const auto & token_map = vocab.token_to_id;
 
         // normalize and split by whitespace
@@ -13497,7 +13502,7 @@ struct llm_tokenizer_wpm {
         // bos token prepended already
 
         // find the longest tokens that form the words
-        for (const std::string &word : words) {
+        for (const std::string & word : words) {
             // skip empty words
             if (word.size() == 0) {
                 continue;
@@ -13514,7 +13519,7 @@ struct llm_tokenizer_wpm {
             for (int i = 0; i < n; ++i) {
                 // loop through possible match length
                 bool match = false;
-                for (int j = n; j > i; j--) {
+                for (int j = std::min(n, i + vocab.max_token_len + 1); j > i; j--) {
                     auto it = token_map.find(word1.substr(i, j - i));
                     if (it != token_map.end()) {
                         output.push_back(it->second);
@@ -13537,7 +13542,8 @@ struct llm_tokenizer_wpm {
         }
     }
 
-    std::vector<std::string> preprocess(const std::string & text) {
+    // TODO: reduce string copies by using cpts_offs array
+    std::vector<std::string> preprocess(const std::string & text) const {
         const std::vector<uint32_t> cpts_nfd = unicode_cpts_normalize_nfd(unicode_cpts_from_utf8(text));
         std::vector<std::string> words(1, "");
 
@@ -13832,6 +13838,8 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
                     output.push_back(vocab.special_cls_id);
                 }
 
+                llm_tokenizer_wpm tokenizer(vocab);
+
                 for (const auto & fragment : fragment_buffer) {
                     if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_RAW_TEXT) {
                         auto raw_text = fragment.raw_text.substr(fragment.offset, fragment.length);
@@ -13839,7 +13847,6 @@ static std::vector<llama_vocab::id> llama_tokenize_internal(const llama_vocab &
 #ifdef PRETOKENIZERDEBUG
                         LLAMA_LOG_WARN("TT: (%ld %ld %ld) '%s'\n", raw_text.length(), fragment.offset, fragment.length, raw_text.c_str());
 #endif
-                        llm_tokenizer_wpm tokenizer(vocab);
                         tokenizer.tokenize(raw_text, output);
                     } else { // if (fragment.type == FRAGMENT_BUFFER_VARIANT_TYPE_TOKEN)
                         output.push_back(fragment.token);
diff --git a/unicode.cpp b/unicode.cpp
index 913c34b9b..c0b76bf20 100644
--- a/unicode.cpp
+++ b/unicode.cpp
@@ -596,6 +596,7 @@ std::vector<uint32_t> unicode_cpts_normalize_nfd(const std::vector<uint32_t> & c
 
 std::vector<uint32_t> unicode_cpts_from_utf8(const std::string & utf8) {
     std::vector<uint32_t> result;
+    result.reserve(utf8.size());
     size_t offset = 0;
     while (offset < utf8.size()) {
         result.push_back(unicode_cpt_from_utf8(utf8, offset));

From 7d5e8777ae1d21af99d4f95be10db4870720da91 Mon Sep 17 00:00:00 2001
From: Eve <139727413+netrunnereve@users.noreply.github.com>
Date: Fri, 21 Jun 2024 05:57:36 +0000
Subject: [PATCH 118/131] ggml : AVX IQ quants (#7845)

* initial iq4_xs

* fix ci

* iq4_nl

* iq1_m

* iq1_s

* iq2_xxs

* iq3_xxs

* iq2_s

* iq2_xs

* iq3_s before sllv

* iq3_s

* iq3_s small fix

* iq3_s sllv can be safely replaced with sse multiply
---
 ggml-quants.c | 699 +++++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 698 insertions(+), 1 deletion(-)

diff --git a/ggml-quants.c b/ggml-quants.c
index 0b346c11e..0eb52e485 100644
--- a/ggml-quants.c
+++ b/ggml-quants.c
@@ -8814,7 +8814,7 @@ void ggml_vec_dot_q6_K_q8_K(int n, float * restrict s, size_t bs, const void * r
 #endif
 }
 
-#if defined (__AVX2__) || defined (__ARM_NEON) || defined (__POWER9_VECTOR__) || defined(__loongarch_asx)
+#if defined (__AVX__) || defined (__AVX2__) || defined (__ARM_NEON) || defined (__POWER9_VECTOR__) || defined(__loongarch_asx)
 static const int8_t keven_signs_q2xs[1024] = {
      1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,  1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1,  1,  1,
      1,  1, -1,  1,  1,  1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1, -1, -1,  1,  1,  1,  1,  1, -1, -1, -1,  1,  1,  1,  1, -1,
@@ -8947,6 +8947,61 @@ void ggml_vec_dot_iq2_xxs_q8_K(int n, float * restrict s, size_t bs, const void
 
     *s = 0.125f * hsum_float_8(accumf);
 
+#elif defined(__AVX__)
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    uint32_t aux32[4];
+    const uint8_t * aux8 = (const uint8_t *)aux32;
+
+    __m256 accumf = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * restrict q2 = x[i].qs;
+        const int8_t   * restrict q8 = y[i].qs;
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            memcpy(aux32, q2, 4*sizeof(uint32_t)); q2 += 8;
+            const __m128i q2_1_0 = _mm_set_epi64x(iq2xxs_grid[aux8[1]], iq2xxs_grid[aux8[0]]);
+            const __m128i q2_1_1 = _mm_set_epi64x(iq2xxs_grid[aux8[3]], iq2xxs_grid[aux8[2]]);
+            const __m128i q2_2_0 = _mm_set_epi64x(iq2xxs_grid[aux8[9]], iq2xxs_grid[aux8[8]]);
+            const __m128i q2_2_1 = _mm_set_epi64x(iq2xxs_grid[aux8[11]], iq2xxs_grid[aux8[10]]);
+            const __m128i s2_1_0 = _mm_set_epi64x(signs64[(aux32[1] >>  7) & 127], signs64[(aux32[1] >>  0) & 127]);
+            const __m128i s2_1_1 = _mm_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127]);
+            const __m128i s2_2_0 = _mm_set_epi64x(signs64[(aux32[3] >>  7) & 127], signs64[(aux32[3] >>  0) & 127]);
+            const __m128i s2_2_1 = _mm_set_epi64x(signs64[(aux32[3] >> 21) & 127], signs64[(aux32[3] >> 14) & 127]);
+            const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, s2_1_0);
+            const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, s2_1_1);
+            const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, s2_2_0);
+            const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, s2_2_1);
+            const __m128i dot1_0  = _mm_maddubs_epi16(q2_1_0, q8s_1_0);
+            const __m128i dot1_1  = _mm_maddubs_epi16(q2_1_1, q8s_1_1);
+            const __m128i dot2_0  = _mm_maddubs_epi16(q2_2_0, q8s_2_0);
+            const __m128i dot2_1  = _mm_maddubs_epi16(q2_2_1, q8s_2_1);
+            const uint16_t ls1 = aux32[1] >> 28;
+            const uint16_t ls2 = aux32[3] >> 28;
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1));
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1));
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1));
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1));
+            sumi1_0 = _mm_add_epi32(sumi1_0, p1_0);
+            sumi1_1 = _mm_add_epi32(sumi1_1, p1_1);
+            sumi2_0 = _mm_add_epi32(sumi2_0, p2_0);
+            sumi2_1 = _mm_add_epi32(sumi2_1, p2_1);
+        }
+
+        accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf);
+
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+
 #elif defined(__POWER9_VECTOR__)
     const vector int v0 = vec_splats((int32_t)0);
     vector float vsumf0 = vec_splats(0.0f);
@@ -9290,6 +9345,165 @@ void ggml_vec_dot_iq2_xs_q8_K(int n, float * restrict s, size_t bs, const void *
     }
 
     *s = 0.125f * hsum_float_8(accumf);
+
+#elif defined(__AVX__)
+    const __m128i mone = _mm_set1_epi8(1);
+    static const char block_sign_shuffle_mask_1[32] = {
+        0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02,
+        0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x04, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06, 0x06,
+    };
+    static const char block_sign_shuffle_mask_2[32] = {
+        0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x08, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a, 0x0a,
+        0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0c, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e, 0x0e,
+    };
+    static const uint8_t bit_selector_mask_bytes[32] = {
+        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+    const __m128i bit_selector_mask_0 = _mm_loadu_si128((const __m128i*)bit_selector_mask_bytes);
+    const __m128i bit_selector_mask_1 = _mm_loadu_si128((const __m128i*)bit_selector_mask_bytes + 1);
+    const __m128i block_sign_shuffle_1_0 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_1);
+    const __m128i block_sign_shuffle_1_1 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_1 + 1);
+    const __m128i block_sign_shuffle_2_0 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_2);
+    const __m128i block_sign_shuffle_2_1 = _mm_loadu_si128((const __m128i*)block_sign_shuffle_mask_2 + 1);
+
+    static const uint8_t k_bit_helper[32] = {
+        0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
+        0x00, 0x80, 0x80, 0x00, 0x80, 0x00, 0x00, 0x80, 0x80, 0x00, 0x00, 0x80, 0x00, 0x80, 0x80, 0x00,
+    };
+    const __m128i bit_helper_0 = _mm_loadu_si128((const __m128i*)k_bit_helper);
+    const __m128i bit_helper_1 = _mm_loadu_si128((const __m128i*)k_bit_helper + 1);
+    const __m128i m511 = _mm_set1_epi16(511);
+    const __m128i m4 = _mm_set1_epi8(0xf);
+    const __m128i m1 = _mm_set1_epi8(1);
+
+    uint64_t aux64;
+
+    // somewhat hacky, but gives a significant boost in performance
+    __m256i aux_gindex;
+    const uint16_t * gindex = (const uint16_t *)&aux_gindex;
+
+    __m256 accumf = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint16_t * restrict q2 = x[i].qs;
+        const int8_t   * restrict q8 = y[i].qs;
+
+        memcpy(&aux64, x[i].scales, 8);
+        __m128i stmp = _mm_set1_epi64x(aux64);
+        stmp = _mm_unpacklo_epi8(_mm_and_si128(stmp, m4), _mm_and_si128(_mm_srli_epi16(stmp, 4), m4));
+        const __m128i scales = _mm_add_epi8(_mm_slli_epi16(stmp, 1), m1);
+
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 4) {
+
+            const __m128i q2_data_0 = _mm_loadu_si128((const __m128i*)q2);
+            const __m128i q2_data_1 = _mm_loadu_si128((const __m128i*)q2 + 1);  q2 += 16;
+            aux_gindex = MM256_SET_M128I(_mm_and_si128(q2_data_1, m511), _mm_and_si128(q2_data_0, m511));
+
+            const __m128i partial_sign_bits_0 = _mm_srli_epi16(q2_data_0, 9);
+            const __m128i partial_sign_bits_1 = _mm_srli_epi16(q2_data_1, 9);
+            const __m128i partial_sign_bits_upper_0 = _mm_srli_epi16(q2_data_0, 13);
+            const __m128i partial_sign_bits_upper_1 = _mm_srli_epi16(q2_data_1, 13);
+            const __m128i partial_sign_bits_for_counting_0 = _mm_xor_si128(partial_sign_bits_0, partial_sign_bits_upper_0);
+            const __m128i partial_sign_bits_for_counting_1 = _mm_xor_si128(partial_sign_bits_1, partial_sign_bits_upper_1);
+
+            const __m128i odd_bits_0 = _mm_shuffle_epi8(bit_helper_0, partial_sign_bits_for_counting_0);
+            const __m128i odd_bits_1 = _mm_shuffle_epi8(bit_helper_1, partial_sign_bits_for_counting_1);
+            const __m128i full_sign_bits_0 = _mm_or_si128(partial_sign_bits_0, odd_bits_0);
+            const __m128i full_sign_bits_1 = _mm_or_si128(partial_sign_bits_1, odd_bits_1);
+
+            const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_3_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_3_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_4_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_4_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+
+            const __m128i q2_1_0 = _mm_set_epi64x(iq2xs_grid[gindex[1]], iq2xs_grid[gindex[0]]);
+            const __m128i q2_1_1 = _mm_set_epi64x(iq2xs_grid[gindex[3]], iq2xs_grid[gindex[2]]);
+            const __m128i q2_2_0 = _mm_set_epi64x(iq2xs_grid[gindex[5]], iq2xs_grid[gindex[4]]);
+            const __m128i q2_2_1 = _mm_set_epi64x(iq2xs_grid[gindex[7]], iq2xs_grid[gindex[6]]);
+            const __m128i q2_3_0 = _mm_set_epi64x(iq2xs_grid[gindex[9]], iq2xs_grid[gindex[8]]);
+            const __m128i q2_3_1 = _mm_set_epi64x(iq2xs_grid[gindex[11]], iq2xs_grid[gindex[10]]);
+            const __m128i q2_4_0 = _mm_set_epi64x(iq2xs_grid[gindex[13]], iq2xs_grid[gindex[12]]);
+            const __m128i q2_4_1 = _mm_set_epi64x(iq2xs_grid[gindex[15]], iq2xs_grid[gindex[14]]);
+
+            // AVX2 full_signs_1 is full_sign_bits_0 here
+            // AVX2 full_signs_2 is full_sign_bits_1 here
+            __m128i signs_0, signs_1;
+            signs_0 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_1_0);
+            signs_1 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_1_1);
+            signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0);
+            signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1);
+            const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, _mm_or_si128(signs_0, mone));
+            const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, _mm_or_si128(signs_1, mone));
+
+            signs_0 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_2_0);
+            signs_1 = _mm_shuffle_epi8(full_sign_bits_0, block_sign_shuffle_2_1);
+            signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0);
+            signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1);
+            const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, _mm_or_si128(signs_0, mone));
+            const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, _mm_or_si128(signs_1, mone));
+
+            signs_0 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_1_0);
+            signs_1 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_1_1);
+            signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0);
+            signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1);
+            const __m128i q8s_3_0 = _mm_sign_epi8(q8_3_0, _mm_or_si128(signs_0, mone));
+            const __m128i q8s_3_1 = _mm_sign_epi8(q8_3_1, _mm_or_si128(signs_1, mone));
+
+            signs_0 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_2_0);
+            signs_1 = _mm_shuffle_epi8(full_sign_bits_1, block_sign_shuffle_2_1);
+            signs_0 = _mm_cmpeq_epi8(_mm_and_si128(signs_0, bit_selector_mask_0), bit_selector_mask_0);
+            signs_1 = _mm_cmpeq_epi8(_mm_and_si128(signs_1, bit_selector_mask_1), bit_selector_mask_1);
+            const __m128i q8s_4_0 = _mm_sign_epi8(q8_4_0, _mm_or_si128(signs_0, mone));
+            const __m128i q8s_4_1 = _mm_sign_epi8(q8_4_1, _mm_or_si128(signs_1, mone));
+
+            const __m128i dot1_0  = _mm_maddubs_epi16(q2_1_0, q8s_1_0);
+            const __m128i dot1_1  = _mm_maddubs_epi16(q2_1_1, q8s_1_1);
+            const __m128i dot2_0  = _mm_maddubs_epi16(q2_2_0, q8s_2_0);
+            const __m128i dot2_1  = _mm_maddubs_epi16(q2_2_1, q8s_2_1);
+            const __m128i dot3_0  = _mm_maddubs_epi16(q2_3_0, q8s_3_0);
+            const __m128i dot3_1  = _mm_maddubs_epi16(q2_3_1, q8s_3_1);
+            const __m128i dot4_0  = _mm_maddubs_epi16(q2_4_0, q8s_4_0);
+            const __m128i dot4_1  = _mm_maddubs_epi16(q2_4_1, q8s_4_1);
+
+            __m128i sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+0));
+            const __m128i sc1_0 = _mm_cvtepi8_epi16(sc_tmp);
+            const __m128i sc1_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8));
+            sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+1));
+            const __m128i sc2_0 = _mm_cvtepi8_epi16(sc_tmp);
+            const __m128i sc2_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8));
+            sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+2));
+            const __m128i sc3_0 = _mm_cvtepi8_epi16(sc_tmp);
+            const __m128i sc3_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8));
+            sc_tmp = _mm_shuffle_epi8(scales, get_scale_shuffle(ib32+3));
+            const __m128i sc4_0 = _mm_cvtepi8_epi16(sc_tmp);
+            const __m128i sc4_1 = _mm_cvtepi8_epi16(_mm_srli_si128(sc_tmp, 8));
+
+            sumi1_0 = _mm_add_epi32(sumi1_0, _mm_madd_epi16(dot1_0, sc1_0));
+            sumi1_1 = _mm_add_epi32(sumi1_1, _mm_madd_epi16(dot1_1, sc1_1));
+            sumi2_0 = _mm_add_epi32(sumi2_0, _mm_madd_epi16(dot2_0, sc2_0));
+            sumi2_1 = _mm_add_epi32(sumi2_1, _mm_madd_epi16(dot2_1, sc2_1));
+            sumi1_0 = _mm_add_epi32(sumi1_0, _mm_madd_epi16(dot3_0, sc3_0));
+            sumi1_1 = _mm_add_epi32(sumi1_1, _mm_madd_epi16(dot3_1, sc3_1));
+            sumi2_0 = _mm_add_epi32(sumi2_0, _mm_madd_epi16(dot4_0, sc4_0));
+            sumi2_1 = _mm_add_epi32(sumi2_1, _mm_madd_epi16(dot4_1, sc4_1));
+        }
+
+        accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf);
+
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+
 #elif defined(__loongarch_asx)
 
     const __m256i mone = __lasx_xvreplgr2vr_b(1);
@@ -9693,6 +9907,98 @@ void ggml_vec_dot_iq2_s_q8_K(int n, float * restrict s, size_t bs, const void *
 
     *s = 0.125f * hsum_float_8(accumf);
 
+#elif defined(__AVX__)
+   static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                       0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+   };
+
+    static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+                                        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+    const __m128i m4 = _mm_set1_epi8(0xf);
+    const __m128i m1 = _mm_set1_epi8(1);
+
+    const __m128i mask1_0 = _mm_loadu_si128((const __m128i*)k_mask1);
+    const __m128i mask1_1 = _mm_loadu_si128((const __m128i*)k_mask1 + 1);
+    const __m128i mask2_0 = _mm_loadu_si128((const __m128i*)k_mask2);
+    const __m128i mask2_1 = _mm_loadu_si128((const __m128i*)k_mask2 + 1);
+
+    uint64_t aux64;
+
+    __m256 accumf = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict qs = x[i].qs;
+        const uint8_t * restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)(x[i].qs + QK_K/8);
+        const int8_t  * restrict q8 = y[i].qs;
+
+        memcpy(&aux64, x[i].scales, 8);
+        const __m128i scales8 = _mm_add_epi8(_mm_slli_epi16(_mm_and_si128(_mm_set_epi64x(aux64 >> 4, aux64), m4), 1), m1);
+        const __m128i scales16_0 = _mm_cvtepi8_epi16(scales8);
+        const __m128i scales16_1 = _mm_cvtepi8_epi16(_mm_srli_si128(scales8, 8));
+
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q2_1_0 = _mm_set_epi64x(iq2s_grid[qs[1] | ((qh[ib32+0] << 6) & 0x300)],
+                                                  iq2s_grid[qs[0] | ((qh[ib32+0] << 8) & 0x300)]);
+            const __m128i q2_1_1 = _mm_set_epi64x(iq2s_grid[qs[3] | ((qh[ib32+0] << 2) & 0x300)],
+                                                  iq2s_grid[qs[2] | ((qh[ib32+0] << 4) & 0x300)]);
+            const __m128i q2_2_0 = _mm_set_epi64x(iq2s_grid[qs[5] | ((qh[ib32+1] << 6) & 0x300)],
+                                                  iq2s_grid[qs[4] | ((qh[ib32+1] << 8) & 0x300)]);
+            const __m128i q2_2_1 = _mm_set_epi64x(iq2s_grid[qs[7] | ((qh[ib32+1] << 2) & 0x300)],
+                                                  iq2s_grid[qs[6] | ((qh[ib32+1] << 4) & 0x300)]);
+            qs += 8;
+
+            __m128i aux128_0 = _mm_set1_epi32(signs[0] | ((uint32_t) signs[1] << 16));
+            __m128i aux128_1 = aux128_0;
+            aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0);
+            aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1);
+            const __m128i s2_1_0 = _mm_cmpeq_epi8(aux128_0, mask2_0);
+            const __m128i s2_1_1 = _mm_cmpeq_epi8(aux128_1, mask2_1);
+            const __m128i q8s_1_0 = _mm_sub_epi8(_mm_xor_si128(s2_1_0, q8_1_0), s2_1_0);
+            const __m128i q8s_1_1 = _mm_sub_epi8(_mm_xor_si128(s2_1_1, q8_1_1), s2_1_1);
+
+            aux128_0 = _mm_set1_epi32(signs[2] | ((uint32_t) signs[3] << 16));
+            aux128_1 = aux128_0;
+            aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0);
+            aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1);
+            const __m128i s2_2_0 = _mm_cmpeq_epi8(aux128_0, mask2_0);
+            const __m128i s2_2_1 = _mm_cmpeq_epi8(aux128_1, mask2_1);
+            const __m128i q8s_2_0 = _mm_sub_epi8(_mm_xor_si128(s2_2_0, q8_2_0), s2_2_0);
+            const __m128i q8s_2_1 = _mm_sub_epi8(_mm_xor_si128(s2_2_1, q8_2_1), s2_2_1);
+
+            signs += 4;
+
+            const __m128i dot1_0  = _mm_maddubs_epi16(q2_1_0, q8s_1_0);
+            const __m128i dot1_1  = _mm_maddubs_epi16(q2_1_1, q8s_1_1);
+            const __m128i dot2_0  = _mm_maddubs_epi16(q2_2_0, q8s_2_0);
+            const __m128i dot2_1  = _mm_maddubs_epi16(q2_2_1, q8s_2_1);
+
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_shuffle_epi8(scales16_0, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+0), 0)));
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_shuffle_epi8(scales16_1, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+0), 1)));
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_shuffle_epi8(scales16_0, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+1), 0)));
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_shuffle_epi8(scales16_1, _mm256_extractf128_si256(get_scale_shuffle_k4(ib32+1), 1)));
+            sumi1_0 = _mm_add_epi32(sumi1_0, p1_0);
+            sumi1_1 = _mm_add_epi32(sumi1_1, p1_1);
+            sumi2_0 = _mm_add_epi32(sumi2_0, p2_0);
+            sumi2_1 = _mm_add_epi32(sumi2_1, p2_1);
+        }
+
+        accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf);
+
+    }
+
+    *s = 0.125f * hsum_float_8(accumf);
+
 #elif defined(__POWER9_VECTOR__)
     static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
                                         0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
@@ -10019,6 +10325,63 @@ void ggml_vec_dot_iq3_xxs_q8_K(int n, float * restrict s, size_t bs, const void
 
     *s = 0.25f * hsum_float_8(accumf);
 
+#elif defined(__AVX__)
+    const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
+
+    uint32_t aux32[2];
+
+    __m256 accumf = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict q3 = x[i].qs;
+        const uint8_t * restrict gas = x[i].qs + QK_K/4;
+        const int8_t  * restrict q8 = y[i].qs;
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q2_1_0 = _mm_set_epi32(iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
+            const __m128i q2_1_1 = _mm_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]]);
+            q3 += 8;
+            const __m128i q2_2_0 = _mm_set_epi32(iq3xxs_grid[q3[3]], iq3xxs_grid[q3[2]], iq3xxs_grid[q3[1]], iq3xxs_grid[q3[0]]);
+            const __m128i q2_2_1 = _mm_set_epi32(iq3xxs_grid[q3[7]], iq3xxs_grid[q3[6]], iq3xxs_grid[q3[5]], iq3xxs_grid[q3[4]]);
+            q3 += 8;
+            memcpy(aux32, gas, 8); gas += 8;
+            const __m128i s2_1_0 = _mm_set_epi64x(signs64[(aux32[0] >>  7) & 127], signs64[(aux32[0] >>  0) & 127]);
+            const __m128i s2_1_1 = _mm_set_epi64x(signs64[(aux32[0] >> 21) & 127], signs64[(aux32[0] >> 14) & 127]);
+            const __m128i s2_2_0 = _mm_set_epi64x(signs64[(aux32[1] >>  7) & 127], signs64[(aux32[1] >>  0) & 127]);
+            const __m128i s2_2_1 = _mm_set_epi64x(signs64[(aux32[1] >> 21) & 127], signs64[(aux32[1] >> 14) & 127]);
+            const __m128i q8s_1_0 = _mm_sign_epi8(q8_1_0, s2_1_0);
+            const __m128i q8s_1_1 = _mm_sign_epi8(q8_1_1, s2_1_1);
+            const __m128i q8s_2_0 = _mm_sign_epi8(q8_2_0, s2_2_0);
+            const __m128i q8s_2_1 = _mm_sign_epi8(q8_2_1, s2_2_1);
+            const __m128i dot1_0  = _mm_maddubs_epi16(q2_1_0, q8s_1_0);
+            const __m128i dot1_1  = _mm_maddubs_epi16(q2_1_1, q8s_1_1);
+            const __m128i dot2_0  = _mm_maddubs_epi16(q2_2_0, q8s_2_0);
+            const __m128i dot2_1  = _mm_maddubs_epi16(q2_2_1, q8s_2_1);
+            const uint16_t ls1 = aux32[0] >> 28;
+            const uint16_t ls2 = aux32[1] >> 28;
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1));
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1));
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1));
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1));
+            sumi1_0 = _mm_add_epi32(sumi1_0, p1_0);
+            sumi1_1 = _mm_add_epi32(sumi1_1, p1_1);
+            sumi2_0 = _mm_add_epi32(sumi2_0, p2_0);
+            sumi2_1 = _mm_add_epi32(sumi2_1, p2_1);
+        }
+
+        accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf);
+
+    }
+
+    *s = 0.25f * hsum_float_8(accumf);
+
 #elif defined(__POWER9_VECTOR__)
     const uint64_t * signs64 = (const uint64_t *)keven_signs_q2xs;
 
@@ -10370,6 +10733,112 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(accumf);
 
+#elif defined(__AVX__)
+   static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
+                                       0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
+   };
+
+    static const uint8_t k_mask2[32] = {0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+                                        0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80, 0x01, 0x02, 0x04, 0x08, 0x10, 0x20, 0x40, 0x80,
+    };
+
+    const __m128i mask1_0 = _mm_loadu_si128((const __m128i*)k_mask1);
+    const __m128i mask1_1 = _mm_loadu_si128((const __m128i*)k_mask1 + 1);
+    const __m128i mask2_0 = _mm_loadu_si128((const __m128i*)k_mask2);
+    const __m128i mask2_1 = _mm_loadu_si128((const __m128i*)k_mask2 + 1);
+
+    const __m128i idx_mul_0 = _mm_set_epi32(32, 64, 128, 256);
+    const __m128i idx_mul_1 = _mm_set_epi32(2, 4, 8, 16);
+    const __m128i idx_mask  = _mm_set1_epi32(256);
+
+    typedef union {
+        __m128i  vec[4];
+        uint32_t index[16];
+    } index_t;
+
+    index_t idx;
+
+    __m256 accumf = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+        const float d = GGML_FP16_TO_FP32(x[i].d) * y[i].d;
+        const uint8_t * restrict qs = x[i].qs;
+        const uint8_t * restrict qh = x[i].qh;
+        const uint16_t * restrict signs = (const uint16_t *)x[i].signs;
+        const int8_t  * restrict q8 = y[i].qs;
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib32 = 0; ib32 < QK_K/32; ib32 += 2) {
+            const __m128i q8_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i qs_tmp = _mm_loadu_si128((const __m128i *)qs);
+            const __m128i idx_l_0 = _mm_cvtepu8_epi16(qs_tmp);
+            const __m128i idx_l_1 = _mm_cvtepu8_epi16(_mm_srli_si128(qs_tmp, 8)); qs += 16;
+            idx.vec[0] = _mm_set1_epi32(qh[ib32+0]);
+            idx.vec[1] = idx.vec[0];
+            idx.vec[2] = _mm_set1_epi32(qh[ib32+1]);
+            idx.vec[3] = idx.vec[2];
+
+            idx.vec[0] = _mm_and_si128(_mm_mullo_epi32(idx.vec[0], idx_mul_0), idx_mask);
+            idx.vec[1] = _mm_and_si128(_mm_mullo_epi32(idx.vec[1], idx_mul_1), idx_mask);
+            idx.vec[2] = _mm_and_si128(_mm_mullo_epi32(idx.vec[2], idx_mul_0), idx_mask);
+            idx.vec[3] = _mm_and_si128(_mm_mullo_epi32(idx.vec[3], idx_mul_1), idx_mask);
+
+            idx.vec[0] = _mm_or_si128(idx.vec[0], _mm_cvtepi16_epi32(idx_l_0));
+            idx.vec[1] = _mm_or_si128(idx.vec[1], _mm_cvtepi16_epi32(_mm_srli_si128(idx_l_0, 8)));
+            idx.vec[2] = _mm_or_si128(idx.vec[2], _mm_cvtepi16_epi32(idx_l_1));
+            idx.vec[3] = _mm_or_si128(idx.vec[3], _mm_cvtepi16_epi32(_mm_srli_si128(idx_l_1, 8)));
+
+            const __m128i q2_1_0 = _mm_set_epi32(iq3s_grid[idx.index[3]], iq3s_grid[idx.index[2]], iq3s_grid[idx.index[1]], iq3s_grid[idx.index[0]]);
+            const __m128i q2_1_1 = _mm_set_epi32(iq3s_grid[idx.index[7]], iq3s_grid[idx.index[6]], iq3s_grid[idx.index[5]], iq3s_grid[idx.index[4]]);
+            const __m128i q2_2_0 = _mm_set_epi32(iq3s_grid[idx.index[11]], iq3s_grid[idx.index[10]], iq3s_grid[idx.index[9]], iq3s_grid[idx.index[8]]);
+            const __m128i q2_2_1 = _mm_set_epi32(iq3s_grid[idx.index[15]], iq3s_grid[idx.index[14]], iq3s_grid[idx.index[13]], iq3s_grid[idx.index[12]]);
+
+            __m128i aux128_0 = _mm_set1_epi32(signs[0] | (signs[1] << 16));
+            __m128i aux128_1 = aux128_0;
+            aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0);
+            aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1);
+            const __m128i s2_1_0 = _mm_cmpeq_epi8(aux128_0, mask2_0);
+            const __m128i s2_1_1 = _mm_cmpeq_epi8(aux128_1, mask2_1);
+            const __m128i q8s_1_0 = _mm_sub_epi8(_mm_xor_si128(s2_1_0, q8_1_0), s2_1_0);
+            const __m128i q8s_1_1 = _mm_sub_epi8(_mm_xor_si128(s2_1_1, q8_1_1), s2_1_1);
+
+            aux128_0 = _mm_set1_epi32(signs[2] | (signs[3] << 16));
+            aux128_1 = aux128_0;
+            aux128_0 = _mm_and_si128(_mm_shuffle_epi8(aux128_0,mask1_0), mask2_0);
+            aux128_1 = _mm_and_si128(_mm_shuffle_epi8(aux128_1,mask1_1), mask2_1);
+            const __m128i s2_2_0 = _mm_cmpeq_epi8(aux128_0, mask2_0);
+            const __m128i s2_2_1 = _mm_cmpeq_epi8(aux128_1, mask2_1);
+            const __m128i q8s_2_0 = _mm_sub_epi8(_mm_xor_si128(s2_2_0, q8_2_0), s2_2_0);
+            const __m128i q8s_2_1 = _mm_sub_epi8(_mm_xor_si128(s2_2_1, q8_2_1), s2_2_1);
+
+            signs += 4;
+
+            const __m128i dot1_0  = _mm_maddubs_epi16(q2_1_0, q8s_1_0);
+            const __m128i dot1_1  = _mm_maddubs_epi16(q2_1_1, q8s_1_1);
+            const __m128i dot2_0  = _mm_maddubs_epi16(q2_2_0, q8s_2_0);
+            const __m128i dot2_1  = _mm_maddubs_epi16(q2_2_1, q8s_2_1);
+            const uint16_t ls1 = x[i].scales[ib32/2] & 0xf;
+            const uint16_t ls2 = x[i].scales[ib32/2] >>  4;
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(2*ls1+1));
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(2*ls1+1));
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(2*ls2+1));
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(2*ls2+1));
+            sumi1_0 = _mm_add_epi32(sumi1_0, p1_0);
+            sumi1_1 = _mm_add_epi32(sumi1_1, p1_1);
+            sumi2_0 = _mm_add_epi32(sumi2_0, p2_0);
+            sumi2_1 = _mm_add_epi32(sumi2_1, p2_1);
+        }
+
+        accumf = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(_mm_add_epi32(sumi1_1, sumi2_1), _mm_add_epi32(sumi1_0, sumi2_0)))), accumf);
+
+    }
+
+    *s = hsum_float_8(accumf);
+
 #elif defined(__POWER9_VECTOR__)
     static const uint8_t k_mask1[32] = {0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01, 0x01,
                                         0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x02, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03, 0x03
@@ -10607,6 +11076,14 @@ void ggml_vec_dot_iq3_s_q8_K (int n, float * restrict s, size_t bs, const void *
 }
 
 
+#if defined(__AVX__)
+static inline __m128i mul_add_epi8_sse(const __m128i x, const __m128i y) {
+    const __m128i ax = _mm_sign_epi8(x, x);
+    const __m128i sy = _mm_sign_epi8(y, x);
+    return _mm_maddubs_epi16(ax, sy);
+}
+#endif
+
 #if defined(__AVX2__)
 static inline __m256i mul_add_epi8(const __m256i x, const __m256i y) {
     const __m256i ax = _mm256_sign_epi8(x, x);
@@ -10724,6 +11201,54 @@ void ggml_vec_dot_iq1_s_q8_K  (int n, float * restrict s, size_t bs, const void
 
     *s = hsum_float_8(accum) + IQ1S_DELTA * accum1;
 
+#elif defined __AVX__
+    __m256 accum = _mm256_setzero_ps();
+    float accum1 = 0;
+    for (int i = 0; i < nb; ++i) {
+
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint16_t * qh = x[i].qh;
+
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        int sumi1 = 0;
+        for (int ib = 0; ib < QK_K/32; ib += 2) {
+            const __m128i q1b_1_0 = _mm_set_epi64x(iq1s_grid[qs[1] | ((qh[ib+0] << 5) & 0x700)], iq1s_grid[qs[0] | ((qh[ib+0] << 8) & 0x700)]);
+            const __m128i q1b_1_1 = _mm_set_epi64x(iq1s_grid[qs[3] | ((qh[ib+0] >> 1) & 0x700)], iq1s_grid[qs[2] | ((qh[ib+0] << 2) & 0x700)]);
+            const __m128i q1b_2_0 = _mm_set_epi64x(iq1s_grid[qs[5] | ((qh[ib+1] << 5) & 0x700)], iq1s_grid[qs[4] | ((qh[ib+1] << 8) & 0x700)]);
+            const __m128i q1b_2_1 = _mm_set_epi64x(iq1s_grid[qs[7] | ((qh[ib+1] >> 1) & 0x700)], iq1s_grid[qs[6] | ((qh[ib+1] << 2) & 0x700)]);
+            qs += 8;
+            const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+
+            const __m128i dot1_0 = mul_add_epi8_sse(q1b_1_0, q8b_1_0);
+            const __m128i dot1_1 = mul_add_epi8_sse(q1b_1_1, q8b_1_1);
+            const __m128i dot2_0 = mul_add_epi8_sse(q1b_2_0, q8b_2_0);
+            const __m128i dot2_1 = mul_add_epi8_sse(q1b_2_1, q8b_2_1);
+            const int16_t ls1 = 2*((qh[ib+0] >> 12) & 7) + 1;
+            const int16_t ls2 = 2*((qh[ib+1] >> 12) & 7) + 1;
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, _mm_set1_epi16(ls1));
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, _mm_set1_epi16(ls1));
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, _mm_set1_epi16(ls2));
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, _mm_set1_epi16(ls2));
+
+            sumi1_0 = _mm_add_epi32(sumi1_0, _mm_add_epi32(p1_0, p2_0));
+            sumi1_1 = _mm_add_epi32(sumi1_1, _mm_add_epi32(p1_1, p2_1));
+            sumi1 += (y[i].bsums[2*ib+0] + y[i].bsums[2*ib+1]) * (qh[ib+0] & 0x8000 ? -1 : 1) * ls1
+                   + (y[i].bsums[2*ib+2] + y[i].bsums[2*ib+3]) * (qh[ib+1] & 0x8000 ? -1 : 1) * ls2;
+        }
+
+        const float d = y[i].d * GGML_FP16_TO_FP32(x[i].d);
+        accum = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(d), _mm256_cvtepi32_ps(MM256_SET_M128I(sumi1_1, sumi1_0))), accum);
+        accum1 += d * sumi1;
+
+    }
+
+    *s = hsum_float_8(accum) + IQ1S_DELTA * accum1;
+
 #elif defined(__POWER9_VECTOR__)
     const vector unsigned char v0 = vec_splats((unsigned char)0x0);
     const vector unsigned short vsign = vec_splats((unsigned short)0x8000);
@@ -11062,6 +11587,92 @@ void ggml_vec_dot_iq1_m_q8_K  (int n, float * restrict s, size_t bs, const void
 
     *s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2);
 
+#elif defined __AVX__
+    const __m128i mask = _mm_set1_epi16(0x7);
+    const __m128i mone = _mm_set1_epi16(1);
+
+    __m256 accum1 = _mm256_setzero_ps();
+    __m256 accum2 = _mm256_setzero_ps();
+    for (int i = 0; i < nb; ++i) {
+
+        const int8_t   * q8 = y[i].qs;
+        const uint8_t  * qs = x[i].qs;
+        const uint8_t  * qh = x[i].qh;
+        const uint16_t * sc = (const uint16_t *)x[i].scales;
+
+        scale.u16 = (sc[0] >> 12) | ((sc[1] >> 8) & 0x00f0) | ((sc[2] >> 4) & 0x0f00) | (sc[3] & 0xf000);
+
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib = 0; ib < QK_K/32; ib += 2) {
+            const __m128i q1b_1_0 = _mm_set_epi64x(
+                    iq1s_grid[qs[1] | (((uint16_t)qh[0] << 4) & 0x700)], iq1s_grid[qs[0] | (((uint16_t)qh[0] << 8) & 0x700)]);
+            const __m128i q1b_1_1 = _mm_set_epi64x(
+                    iq1s_grid[qs[3] | (((uint16_t)qh[1] << 4) & 0x700)], iq1s_grid[qs[2] | (((uint16_t)qh[1] << 8) & 0x700)]);
+            const __m128i q1b_2_0 = _mm_set_epi64x(
+                    iq1s_grid[qs[5] | (((uint16_t)qh[2] << 4) & 0x700)], iq1s_grid[qs[4] | (((uint16_t)qh[2] << 8) & 0x700)]);
+            const __m128i q1b_2_1 = _mm_set_epi64x(
+                    iq1s_grid[qs[7] | (((uint16_t)qh[3] << 4) & 0x700)], iq1s_grid[qs[6] | (((uint16_t)qh[3] << 8) & 0x700)]);
+            const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+
+            const __m128i dot1_0 = mul_add_epi8_sse(q1b_1_0, q8b_1_0);
+            const __m128i dot1_1 = mul_add_epi8_sse(q1b_1_1, q8b_1_1);
+            const __m128i dot2_0 = mul_add_epi8_sse(q1b_2_0, q8b_2_0);
+            const __m128i dot2_1 = mul_add_epi8_sse(q1b_2_1, q8b_2_1);
+
+            const __m128i delta1_0 = _mm_set_epi64x(qh[0] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
+                                                     qh[0] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
+            const __m128i delta1_1 = _mm_set_epi64x(qh[1] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
+                                                     qh[1] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
+            const __m128i delta2_0 = _mm_set_epi64x(qh[2] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
+                                                     qh[2] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
+            const __m128i delta2_1 = _mm_set_epi64x(qh[3] & 0x80 ? 0xffffffffffffffff : 0x0101010101010101,
+                                                     qh[3] & 0x08 ? 0xffffffffffffffff : 0x0101010101010101);
+
+            const __m128i dot3_0 = mul_add_epi8_sse(delta1_0, q8b_1_0);
+            const __m128i dot3_1 = mul_add_epi8_sse(delta1_1, q8b_1_1);
+            const __m128i dot4_0 = mul_add_epi8_sse(delta2_0, q8b_2_0);
+            const __m128i dot4_1 = mul_add_epi8_sse(delta2_1, q8b_2_1);
+
+            __m128i scale1_0 = _mm_set1_epi16(sc[ib/2] >> 0);
+            __m128i scale1_1 = _mm_set1_epi16(sc[ib/2] >> 3);
+            __m128i scale2_0 = _mm_set1_epi16(sc[ib/2] >> 6);
+            __m128i scale2_1 = _mm_set1_epi16(sc[ib/2] >> 9);
+
+            scale1_0 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale1_0, mask), 1), mone);
+            scale1_1 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale1_1, mask), 1), mone);
+            scale2_0 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale2_0, mask), 1), mone);
+            scale2_1 = _mm_add_epi16(_mm_slli_epi16(_mm_and_si128(scale2_1, mask), 1), mone);
+            const __m128i p1_0 = _mm_madd_epi16(dot1_0, scale1_0);
+            const __m128i p1_1 = _mm_madd_epi16(dot1_1, scale1_1);
+            const __m128i p2_0 = _mm_madd_epi16(dot2_0, scale2_0);
+            const __m128i p2_1 = _mm_madd_epi16(dot2_1, scale2_1);
+            const __m128i p3_0 = _mm_madd_epi16(dot3_0, scale1_0);
+            const __m128i p3_1 = _mm_madd_epi16(dot3_1, scale1_1);
+            const __m128i p4_0 = _mm_madd_epi16(dot4_0, scale2_0);
+            const __m128i p4_1 = _mm_madd_epi16(dot4_1, scale2_1);
+
+            sumi1_0 = _mm_add_epi32(sumi1_0, _mm_add_epi32(p1_0, p2_0));
+            sumi1_1 = _mm_add_epi32(sumi1_1, _mm_add_epi32(p1_1, p2_1));
+            sumi2_0 = _mm_add_epi32(sumi2_0, _mm_add_epi32(p3_0, p4_0));
+            sumi2_1 = _mm_add_epi32(sumi2_1, _mm_add_epi32(p3_1, p4_1));
+
+            qs += 8; qh += 4;
+        }
+
+        const __m256 d = _mm256_set1_ps(y[i].d * GGML_FP16_TO_FP32(scale.f16));
+
+        accum1 = _mm256_add_ps(_mm256_mul_ps(d, _mm256_cvtepi32_ps(MM256_SET_M128I(sumi1_1, sumi1_0))), accum1);
+        accum2 = _mm256_add_ps(_mm256_mul_ps(d, _mm256_cvtepi32_ps(MM256_SET_M128I(sumi2_1, sumi2_0))), accum2);
+    }
+
+    *s = hsum_float_8(accum1) + IQ1M_DELTA * hsum_float_8(accum2);
+
 #else
 
     int sum1[2], sum2[2], delta[4];
@@ -11192,6 +11803,44 @@ void ggml_vec_dot_iq4_nl_q8_0(int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(_mm256_add_ps(accum1, accum2));
 
+#elif defined __AVX__
+    const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl);
+    const __m128i m4b  = _mm_set1_epi8(0x0f);
+    const __m128i mone = _mm_set1_epi16(1);
+
+    __m256 accum1 = _mm256_setzero_ps();
+    __m256 accum2 = _mm256_setzero_ps();
+    for (int ib = 0; ib < nb; ib += 2) {
+        const __m128i q4bits_1 = _mm_loadu_si128((const __m128i *)x[0].qs);
+        const __m128i q4bits_2 = _mm_loadu_si128((const __m128i *)x[1].qs);
+        const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)y[0].qs);
+        const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)y[0].qs + 1);
+        const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)y[1].qs);
+        const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)y[1].qs + 1);
+
+        const __m128i q4b_1_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b));
+        const __m128i q4b_1_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b));
+        const __m128i q4b_2_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b));
+        const __m128i q4b_2_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b));
+        const __m128i p16_1_0 = mul_add_epi8_sse(q4b_1_0, q8b_1_0);
+        const __m128i p16_1_1 = mul_add_epi8_sse(q4b_1_1, q8b_1_1);
+        const __m128i p16_2_0 = mul_add_epi8_sse(q4b_2_0, q8b_2_0);
+        const __m128i p16_2_1 = mul_add_epi8_sse(q4b_2_1, q8b_2_1);
+        const __m128i p_1_0 = _mm_madd_epi16(p16_1_0, mone);
+        const __m128i p_1_1 = _mm_madd_epi16(p16_1_1, mone);
+        const __m128i p_2_0 = _mm_madd_epi16(p16_2_0, mone);
+        const __m128i p_2_1 = _mm_madd_epi16(p16_2_1, mone);
+        accum1 = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[0].d)*GGML_FP16_TO_FP32(x[0].d)),
+                _mm256_cvtepi32_ps(MM256_SET_M128I(p_1_1, p_1_0))), accum1);
+        accum2 = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(y[1].d)*GGML_FP16_TO_FP32(x[1].d)),
+                _mm256_cvtepi32_ps(MM256_SET_M128I(p_2_1, p_2_0))), accum2);
+
+        y += 2;
+        x += 2;
+    }
+
+    *s = hsum_float_8(_mm256_add_ps(accum1, accum2));
+
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
     const vector signed int v0 = vec_splats((int32_t)0);
@@ -11382,6 +12031,54 @@ void ggml_vec_dot_iq4_xs_q8_K(int n, float * restrict s, size_t bs, const void *
 
     *s = hsum_float_8(accum);
 
+#elif defined __AVX__
+    const __m128i values128 = _mm_loadu_si128((const __m128i*)kvalues_iq4nl);
+    const __m128i m4b  = _mm_set1_epi8(0x0f);
+
+    __m256 accum = _mm256_setzero_ps();
+    for (int ibl = 0; ibl < nb; ++ibl) {
+        const uint8_t * qs = x[ibl].qs;
+        const int8_t  * q8 = y[ibl].qs;
+        uint16_t sh = x[ibl].scales_h;
+        __m128i sumi1_0 = _mm_setzero_si128();
+        __m128i sumi1_1 = _mm_setzero_si128();
+        __m128i sumi2_0 = _mm_setzero_si128();
+        __m128i sumi2_1 = _mm_setzero_si128();
+        for (int ib = 0; ib < QK_K/32; ib += 2) {
+            const __m128i q4bits_1 = _mm_loadu_si128((const __m128i *)qs); qs += 16;
+            const __m128i q4bits_2 = _mm_loadu_si128((const __m128i *)qs); qs += 16;
+            const __m128i q8b_1_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_1_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_0 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q8b_2_1 = _mm_loadu_si128((const __m128i *)q8); q8 += 16;
+            const __m128i q4b_1_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_1, m4b));
+            const __m128i q4b_1_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_1, 4), m4b));
+            const __m128i q4b_2_0 = _mm_shuffle_epi8(values128, _mm_and_si128(q4bits_2, m4b));
+            const __m128i q4b_2_1 = _mm_shuffle_epi8(values128, _mm_and_si128(_mm_srli_epi16(q4bits_2, 4), m4b));
+            const __m128i p16_1_0 = mul_add_epi8_sse(q4b_1_0, q8b_1_0);
+            const __m128i p16_1_1 = mul_add_epi8_sse(q4b_1_1, q8b_1_1);
+            const __m128i p16_2_0 = mul_add_epi8_sse(q4b_2_0, q8b_2_0);
+            const __m128i p16_2_1 = mul_add_epi8_sse(q4b_2_1, q8b_2_1);
+            const int16_t ls1 = ((x[ibl].scales_l[ib/2] & 0xf) | ((sh << 4) & 0x30)) - 32;
+            const int16_t ls2 = ((x[ibl].scales_l[ib/2] >>  4) | ((sh << 2) & 0x30)) - 32;
+            sh >>= 4;
+            const __m128i p_1_0 = _mm_madd_epi16(p16_1_0, _mm_set1_epi16(ls1));
+            const __m128i p_1_1 = _mm_madd_epi16(p16_1_1, _mm_set1_epi16(ls1));
+            const __m128i p_2_0 = _mm_madd_epi16(p16_2_0, _mm_set1_epi16(ls2));
+            const __m128i p_2_1 = _mm_madd_epi16(p16_2_1, _mm_set1_epi16(ls2));
+            sumi1_0 = _mm_add_epi32(p_1_0, sumi1_0);
+            sumi1_1 = _mm_add_epi32(p_1_1, sumi1_1);
+            sumi2_0 = _mm_add_epi32(p_2_0, sumi2_0);
+            sumi2_1 = _mm_add_epi32(p_2_1, sumi2_1);
+        }
+        __m128i sumi12_0 = _mm_add_epi32(sumi1_0, sumi2_0);
+        __m128i sumi12_1 = _mm_add_epi32(sumi1_1, sumi2_1);
+        accum = _mm256_add_ps(_mm256_mul_ps(_mm256_set1_ps(GGML_FP16_TO_FP32(x[ibl].d)*y[ibl].d),
+                _mm256_cvtepi32_ps(MM256_SET_M128I(sumi12_1, sumi12_0))), accum);
+    }
+
+    *s = hsum_float_8(accum);
+
 #elif defined(__POWER9_VECTOR__)
     const vector signed char lowMask = vec_splats((signed char)0xF);
     const vector int v0 = vec_splats((int32_t)0);

From 557b653dc9ed91e8c313e87500e0050c775f81b6 Mon Sep 17 00:00:00 2001
From: "k.h.lai" <adrian.k.h.lai@outlook.com>
Date: Fri, 21 Jun 2024 16:28:20 +0800
Subject: [PATCH 119/131] vulkan: detect multiple devices by deviceUUID instead
 of deviceID (#8022)

* vulkan: detect multiple devices by deviceUUID instead of deviceID

* vulkan: remove unneeded variables

* vulkan: fix id query
---
 ggml-vulkan.cpp | 32 +++++++++++++++++++-------------
 1 file changed, 19 insertions(+), 13 deletions(-)

diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index f389934ea..87af33b56 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -1745,31 +1745,37 @@ void ggml_vk_instance_init() {
 
         // Default to using all dedicated GPUs
         for (size_t i = 0; i < devices.size(); i++) {
-            vk::PhysicalDeviceProperties props = devices[i].getProperties();
+            vk::PhysicalDeviceProperties2 new_props;
+            vk::PhysicalDeviceDriverProperties new_driver;
+            vk::PhysicalDeviceIDProperties new_id;
+            new_props.pNext = &new_driver;
+            new_driver.pNext = &new_id;
+            devices[i].getProperties2(&new_props);
 
-            if (props.deviceType == vk::PhysicalDeviceType::eDiscreteGpu) {
+            if (new_props.properties.deviceType == vk::PhysicalDeviceType::eDiscreteGpu) {
                 // Check if there are two physical devices corresponding to the same GPU
                 auto old_device = std::find_if(
                     vk_instance.device_indices.begin(),
                     vk_instance.device_indices.end(),
-                    [&devices, &props](const size_t k){ return devices[k].getProperties().deviceID == props.deviceID; }
+                    [&devices, &new_id](const size_t k){
+                        vk::PhysicalDeviceProperties2 old_props;
+                        vk::PhysicalDeviceIDProperties old_id;
+                        old_props.pNext = &old_id;
+                        devices[k].getProperties2(&old_props);
+                        return std::equal(std::begin(old_id.deviceUUID), std::end(old_id.deviceUUID), std::begin(new_id.deviceUUID));
+                    }
                 );
                 if (old_device == vk_instance.device_indices.end()) {
                     vk_instance.device_indices.push_back(i);
                 } else {
                     // There can be two physical devices corresponding to the same GPU if there are 2 different drivers
                     // This can cause error when splitting layers aross the devices, need to keep only 1
-                    VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same device id");
+                    VK_LOG_DEBUG("Device " << i << " and device " << *old_device << " have the same deviceUUID");
 
-                    vk::PhysicalDeviceProperties2 old_prop;
+                    vk::PhysicalDeviceProperties2 old_props;
                     vk::PhysicalDeviceDriverProperties old_driver;
-                    old_prop.pNext = &old_driver;
-                    devices[*old_device].getProperties2(&old_prop);
-
-                    vk::PhysicalDeviceProperties2 new_prop;
-                    vk::PhysicalDeviceDriverProperties new_driver;
-                    new_prop.pNext = &new_driver;
-                    devices[i].getProperties2(&new_prop);
+                    old_props.pNext = &old_driver;
+                    devices[*old_device].getProperties2(&old_props);
 
                     std::map<vk::DriverId, int> driver_priorities {};
                     int old_priority = std::numeric_limits<int>::max();
@@ -1777,7 +1783,7 @@ void ggml_vk_instance_init() {
 
                     // Check https://registry.khronos.org/vulkan/specs/1.3-extensions/man/html/VkDriverId.html for the list of driver id
                     // Smaller number -> higher priority
-                    switch (old_prop.properties.vendorID) {
+                    switch (old_props.properties.vendorID) {
                         case VK_VENDOR_ID_AMD:
                             driver_priorities[vk::DriverId::eMesaRadv] = 1;
                             driver_priorities[vk::DriverId::eAmdOpenSource] = 2;

From c5a8d4b749352645afd4c024f85d6eca2ca72c6d Mon Sep 17 00:00:00 2001
From: Clint Herron <hanclinto@gmail.com>
Date: Fri, 21 Jun 2024 23:18:36 -0400
Subject: [PATCH 120/131] JSON Schema to GBNF integration tests (#7790)

* Adding simple bare-bones test for end-to-end integration test for json validation against auto-generated JSON-schema grammars.

* Adding additional examples as documented in #7789 . Also adding the ability to automatically output improperly failing grammars to debug output files so they can more easily be examined in the gbnf-validator program.

* Uncommenting formerly commented tests so that they fail for others who are attempting to reproduce the bugs.

* Merging improved schema test methods added by @ochafik in #7797

* Adding #define to temporarily remove failing tests so that this PR can pass CI, but still be useful for other PRs that want to leverage the framework.

* Fixing nits from ochafik. Removing escape slashes, adding additional failing cases, fixing some other strings.

* Fixing grammar indentation to be consistent throughout file.
---
 Makefile                           |   2 +-
 tests/test-grammar-integration.cpp | 599 ++++++++++++++++++++++++++++-
 2 files changed, 580 insertions(+), 21 deletions(-)

diff --git a/Makefile b/Makefile
index dddf647cd..4ea59c0b4 100644
--- a/Makefile
+++ b/Makefile
@@ -1051,7 +1051,7 @@ tests/test-grammar-parser: tests/test-grammar-parser.cpp ggml.o llama.o grammar-
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
-tests/test-grammar-integration: tests/test-grammar-integration.cpp ggml.o llama.o grammar-parser.o $(OBJS)
+tests/test-grammar-integration: tests/test-grammar-integration.cpp json-schema-to-grammar.o ggml.o llama.o grammar-parser.o $(OBJS)
 	$(CXX) $(CXXFLAGS) -c $< -o $(call GET_OBJ_FILE, $<)
 	$(CXX) $(CXXFLAGS) $(filter-out %.h $<,$^) $(call GET_OBJ_FILE, $<) -o $@ $(LDFLAGS)
 
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 8787fb1ec..96f90c01e 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -7,11 +7,16 @@
 #include "ggml.h"
 #include "llama.h"
 #include "grammar-parser.h"
+#include "json-schema-to-grammar.h"
 #include "unicode.h"
 #include <cassert>
 #include <string>
 #include <vector>
 
+using json = nlohmann::ordered_json;
+
+//#define INCLUDE_FAILING_TESTS 1
+
 static llama_grammar* build_grammar(const std::string & grammar_str) {
     auto parsed_grammar = grammar_parser::parse(grammar_str.c_str());
 
@@ -65,8 +70,8 @@ static bool match_string(const std::string & input, llama_grammar* grammar) {
     return false;
 }
 
-static void test_grammar(const std::string & test_desc, const std::string & grammar_str, const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
-    fprintf(stderr, "⚫ Testing %s. Grammar: %s\n", test_desc.c_str(), grammar_str.c_str());
+static void test(const std::string & test_desc, const std::string & grammar_str, const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
+    fprintf(stderr, "⚫ Testing %s\n%s\n", test_desc.c_str(), grammar_str.c_str());
     fflush(stderr);
 
     auto grammar = build_grammar(grammar_str);
@@ -85,6 +90,23 @@ static void test_grammar(const std::string & test_desc, const std::string & gram
 
         if (!matched) {
             fprintf(stderr, "❌ (failed to match)\n");
+
+            // DEBUG: Write strings to files so that we can analyze more easily with gbnf-validator program to see exactly where things failed.
+            // DEBUG: Write the grammar_str to test-grammar-integration.grammar.gbnf
+            FILE* grammar_file = fopen("test-grammar-integration.grammar.gbnf", "w");
+            if (grammar_file) {
+                fprintf(grammar_file, "%s", grammar_str.c_str());
+                fclose(grammar_file);
+            }
+
+            // DEBUG: Write the test string to test-grammar-integration.string.txt
+            FILE* string_file = fopen("test-grammar-integration.string.txt", "w");
+            if (string_file) {
+                fprintf(string_file, "%s", test_string.c_str());
+                fclose(string_file);
+            }
+
+            fprintf(stderr, "\n NOTE: Debug grammar file generated. To analyze this failure in detail, run the following command:     ./llama-gbnf-validator test-grammar-integration.grammar.gbnf test-grammar-integration.string.txt\n\n");
         } else {
             fprintf(stdout, "✅︎\n");
         }
@@ -118,6 +140,12 @@ static void test_grammar(const std::string & test_desc, const std::string & gram
     // Clean up allocated memory
     llama_grammar_free(grammar);
 }
+static void test_grammar(const std::string & test_desc, const std::string & grammar_str, const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
+    test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings);
+}
+static void test_schema(const std::string & test_desc, const std::string & schema_str, const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
+    test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str)), passing_strings, failing_strings);
+}
 
 static void test_simple_grammar() {
     // Test case for a simple grammar
@@ -400,10 +428,11 @@ static void test_quantifiers() {
 static void test_failure_missing_root() {
     fprintf(stderr, "⚫ Testing missing root node:\n");
     // Test case for a grammar that is missing a root rule
-    const std::string grammar_str = R"""(rot ::= expr
-expr ::= term ("+" term)*
-term ::= number
-number ::= [0-9]+)""";
+    const std::string grammar_str = R"""(
+        rot ::= expr
+        expr ::= term ("+" term)*
+        term ::= number
+        number ::= [0-9]+)""";
 
     grammar_parser::parse_state parsed_grammar = grammar_parser::parse(grammar_str.c_str());
 
@@ -420,10 +449,10 @@ static void test_failure_missing_reference() {
 
     // Test case for a grammar that is missing a referenced rule
     const std::string grammar_str =
-R"""(root ::= expr
-expr ::= term ("+" term)*
-term ::= numero
-number ::= [0-9]+)""";
+        R"""(root ::= expr
+        expr ::= term ("+" term)*
+        term ::= numero
+        number ::= [0-9]+)""";
 
     fprintf(stderr, "    Expected error:  ");
 
@@ -445,29 +474,558 @@ static void test_failure_left_recursion() {
 
     // Test more complicated left recursion detection
     const std::string medium_str = R"""(
-root ::= asdf
-asdf ::= "a" | asdf "a"
-)""";
+        root ::= asdf
+        asdf ::= "a" | asdf "a"
+        )""";
     assert(test_build_grammar_fails(medium_str));
 
     // Test even more complicated left recursion detection
     const std::string hard_str = R"""(
-root ::= asdf
-asdf ::= "a" | foo "b"
-foo ::= "c" | asdf "d" | "e")""";
+        root ::= asdf
+        asdf ::= "a" | foo "b"
+        foo ::= "c" | asdf "d" | "e")""";
     assert(test_build_grammar_fails(hard_str));
 
     // Test yet even more complicated left recursion detection
     const std::string hardest_str = R"""(
-root ::= asdf
-asdf ::= "a" | foo "b"
-foo ::= "c" | empty asdf "d" | "e"
-empty ::= "blah" | )""";
+        root ::= asdf
+        asdf ::= "a" | foo "b"
+        foo ::= "c" | empty asdf "d" | "e"
+        empty ::= "blah" | )""";
     assert(test_build_grammar_fails(hardest_str));
 
     fprintf(stderr, "  ✅︎ Passed\n");
 }
 
+static void test_json_schema() {
+    // Note that this is similar to the regular grammar tests,
+    //  but we convert each json schema to a grammar before parsing.
+    // Otherwise, this test structure is the same.
+
+    test_schema(
+        "empty schema (object)",
+        // Schema
+        R"""(
+            {}
+        )""",
+        // Passing strings
+        {
+            "{}",
+            R"""({"foo": "bar"})""",
+        },
+        // Failing strings
+        {
+            "",
+            "[]",
+            "null",
+            "\"\"",
+            "true",
+        }
+    );
+
+    test_schema(
+        "exotic formats (list)",
+        // Schema
+        R"""(
+            {
+            "items": [
+                { "format": "date" },
+                { "format": "uuid" },
+                { "format": "time" },
+                { "format": "date-time" }
+            ]
+            }
+        )""",
+        // Passing strings
+        {
+            // "{}", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            // "[]", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            R"""(["2012-04-23", "12345678-1234-1234-1234-1234567890ab", "18:25:43.511Z", "2012-04-23T18:25:43.511Z"])""",
+            //R"""(["2012-04-23","12345678-1234-1234-1234-1234567890ab"])""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            //R"""({"foo": "bar"})""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+        },
+        // Failing strings
+        {
+            R"""(["foo", "bar"])""",
+            R"""(["12345678-1234-1234-1234-1234567890ab"])""",
+        }
+    );
+
+    test_schema(
+        "string",
+        // Schema
+        R"""(
+            {
+                "type": "string"
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+            "\"bar\"",
+            "\"\"",
+        },
+        // Failing strings
+        {
+            "{}",
+            "\"foo\": \"bar\"",
+        }
+    );
+
+    test_schema(
+        "string w/ min length 1",
+        // Schema
+        R"""(
+            {
+                "type": "string",
+                "minLength": 1
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+            "\"bar\"",
+        },
+        // Failing strings
+        {
+            "\"\"",
+            "{}",
+            "\"foo\": \"bar\"",
+        }
+    );
+
+    test_schema(
+        "string w/ min length 3",
+        // Schema
+        R"""(
+            {
+                "type": "string",
+                "minLength": 3
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+            "\"bar\"",
+            "\"foobar\"",
+        },
+        // Failing strings
+        {
+            "\"\"",
+            "\"f\"",
+            "\"fo\"",
+        }
+    );
+
+    test_schema(
+        "string w/ max length",
+        // Schema
+        R"""(
+            {
+                "type": "string",
+                "maxLength": 3
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+            "\"bar\"",
+            "\"\"",
+            "\"f\"",
+            "\"fo\"",
+        },
+        // Failing strings
+        {
+            "\"foobar\"",
+        }
+    );
+
+    test_schema(
+        "string w/ min & max length",
+        // Schema
+        R"""(
+            {
+                "type": "string",
+                "minLength": 1,
+                "maxLength": 4
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+            "\"bar\"",
+            "\"f\"",
+            "\"barf\"",
+        },
+        // Failing strings
+        {
+            "\"\"",
+            "\"barfo\"",
+            "\"foobar\"",
+        }
+    );
+
+    test_schema(
+        "boolean",
+        // Schema
+        R"""(
+            {
+                "type": "boolean"
+            }
+        )""",
+        // Passing strings
+        {
+            "true",
+            "false",
+        },
+        // Failing strings
+        {
+            "\"\"",
+            "\"true\"",
+            "True",
+            "FALSE",
+        }
+    );
+
+    test_schema(
+        "integer",
+        // Schema
+        R"""(
+            {
+                "type": "integer"
+            }
+        )""",
+        // Passing strings
+        {
+            "0",
+            "12345",
+            "1234567890123456"
+        },
+        // Failing strings
+        {
+            "",
+            "01",
+            "007",
+            "12345678901234567"
+        }
+    );
+
+    test_schema(
+        "string const",
+        // Schema
+        R"""(
+            {
+                "const": "foo"
+            }
+        )""",
+        // Passing strings
+        {
+            "\"foo\"",
+        },
+        // Failing strings
+        {
+            "foo",
+            "\"bar\"",
+        }
+    );
+
+    test_schema(
+        "non-string const",
+        // Schema
+        R"""(
+            {
+                "const": true
+            }
+        )""",
+        // Passing strings
+        {
+            "true",
+        },
+        // Failing strings
+        {
+            "",
+            "foo",
+            "\"true\"",
+        }
+    );
+
+    test_schema(
+        "non-string const",
+        // Schema
+        R"""(
+            {
+                "enum": ["red", "amber", "green", null, 42, ["foo"]]
+            }
+        )""",
+        // Passing strings
+        {
+            "\"red\"",
+            "null",
+            "42",
+            "[\"foo\"]",
+        },
+        // Failing strings
+        {
+            "",
+            "420",
+            "true",
+            "foo",
+        }
+    );
+
+
+    test_schema(
+        "min+max items",
+        // Schema
+        R"""(
+            {
+                "items": {
+                    "type": ["number", "integer"]
+                },
+                "minItems": 3,
+                "maxItems": 5
+            }
+        )""",
+        // Passing strings
+        {
+            "[1, 2, 3]",
+            "[1, 2, 3, 4]",
+            "[1, 2, 3, 4, 5]",
+        },
+        // Failing strings
+        {
+            "[1, 2]",
+            "[1, 2, 3, 4, 5, 6]",
+            "1"
+        }
+    );
+
+    // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties)
+    test_schema(
+        "object properties",
+        // Schema
+        R"""(
+            {
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            }
+            }
+        )""",
+        // Passing strings
+        {
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+            // "By default, leaving out properties is valid"
+            R"""({ "street_name": "Pennsylvania" })""",
+            R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+            // "By extension, even an empty object is valid"
+            R"""({})""",
+            // "By default, providing additional properties is valid"
+#ifdef INCLUDE_FAILING_TESTS
+            // TODO: The following should pass, but currently FAILS. Additional properties should be permitted by default.
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""",
+            // TODO: Spaces should be permitted around enum values, but currently they fail to pass.
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+#endif
+        },
+        // Failing strings
+        {
+            // Change datatype from number to string
+            R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+            // Reorder properties
+            R"""({ "street_name": "Pennsylvania", "number": 1600 })""",
+            // Reorder properties
+            R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+        }
+    );
+
+
+    // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties)
+    test_schema(
+        "object properties, additionalProperties: true",
+        // Schema
+        R"""(
+            {
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            },
+            "additionalProperties": true
+            }
+        )""",
+        // Passing strings
+        {
+            // "By extension, even an empty object is valid"
+            R"""({})""",
+#ifdef INCLUDE_FAILING_TESTS
+            // TODO: Following line should pass and doesn't
+            R"""({"number":1600,"street_name":"Pennsylvania","street_type":"Avenue"})""",
+            // "By default, leaving out properties is valid"
+            // TODO: Following line should pass and doesn't
+            R"""({ "street_name": "Pennsylvania" })""",
+            // TODO: Following line should pass and doesn't
+            R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+            // "By default, providing additional properties is valid"
+            // TODO: The following should pass, but currently FAILS. Additional properties should be permitted by default.
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""",
+            // TODO: Spaces should be permitted around enum values, but currently they fail to pass.
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+#endif
+        },
+        // Failing strings
+        {
+            // Change datatype from number to string
+            R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+            // Reorder properties
+            R"""({ "street_name": "Pennsylvania", "number": 1600, "street_type":"Avenue"})""",
+        }
+    );
+
+    // Additional properties: false
+    test_schema(
+        "required + optional props each in original order",
+        // Schema
+        R"""(
+            {
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            },
+            "additionalProperties": false
+            }
+        )""",
+        // Passing strings
+        {
+            R"""({ "street_name": "Pennsylvania" })""",
+            R"""({ "number": 1600, "street_type":"Avenue"})""",
+            R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+#ifdef INCLUDE_FAILING_TESTS
+            // TODO: Spaces should be permitted around enum values, but currently they fail to pass.
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+#endif
+        },
+        // Failing strings
+        {
+            // Reorder properties
+            R"""({ "street_type": "Avenue", "number": 1600 })""",
+            // Add "direction"
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue", "direction": "NW" })""",
+        }
+    );
+
+    test_schema(
+        "required + optional props each in original order",
+        // Schema
+        R"""(
+            {
+                "properties": {
+                    "b": {"type": "string"},
+                    "a": {"type": "string"},
+                    "d": {"type": "string"},
+                    "c": {"type": "string"}
+                },
+                "required": ["a", "b"],
+                "additionalProperties": false
+            }
+        )""",
+        // Passing strings
+        {
+            R"""({"b": "foo", "a": "bar"})""",
+            R"""({"b":"foo","a":"bar","d":"qux"})""",
+            R"""({"b":"foo", "a":"bar", "d":"qux", "c":"baz"})""",
+        },
+        // Failing strings
+        {
+            R"""({"a": "foo", "b": "bar"})""",
+            R"""({"b": "bar"})""",
+            R"""({"a": "foo", "c": "baz"})""",
+            R"""({"a":"foo", "b":"bar", "c":"baz", "d":"qux"})""",
+        }
+    );
+
+    // NOTE: Example from https://json-schema.org/learn/getting-started-step-by-step#define-required-properties
+    test_schema(
+        "required props",
+        // Schema
+        R"""(
+            {
+            "$schema": "https://json-schema.org/draft/2020-12/schema",
+            "$id": "https://example.com/product.schema.json",
+            "title": "Product",
+            "description": "A product from Acme's catalog",
+            "type": "object",
+            "properties": {
+                "productId": {
+                "description": "The unique identifier for a product",
+                "type": "integer"
+                },
+                "productName": {
+                "description": "Name of the product",
+                "type": "string"
+                },
+                "price": {
+                "description": "The price of the product",
+                "type": "number",
+                "exclusiveMinimum": 0
+                },
+                "tags": {
+                "description": "Tags for the product",
+                "type": "array",
+                "items": {
+                    "type": "string"
+                },
+                "minItems": 1,
+                "uniqueItems": true
+                },
+                "dimensions": {
+                "type": "object",
+                "properties": {
+                    "length": {
+                    "type": "number"
+                    },
+                    "width": {
+                    "type": "number"
+                    },
+                    "height": {
+                    "type": "number"
+                    }
+                },
+                "required": [ "length", "width", "height" ]
+                }
+            },
+            "required": [ "productId", "productName", "price" ]
+            }
+        )""",
+        // Passing strings
+        {
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50})""",
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"]})""",
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"], "dimensions": {"length": 785, "width": 250.5, "height": -0.359}})""",
+        },
+        // Failing strings
+        {
+            R"""({})""", // Missing all required properties
+            R"""({"productName": "A green door", "price": 12.50, "productId": 1})""", // Out of order properties
+            // TODO: The following line should fail, but currently it passes. `exclusiveMinimum` is not supported, as it would likely be too difficult to implement.
+            //  Perhaps special checks for minimum and maximum values of 0 could be added (since that's relatively easy to do with grammars), but anything else would likely be too complex.
+            // R"""({"productId": 1, "productName": "A green door", "price": -12.50})""",
+            R"""({"productId": 1, "productName": "A green door"})""", // Missing required property (price)
+            R"""({"productName": "A green door", "price": 12.50})""", // Missing required property (productId)
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": []})""", // tags is empty, but minItems is 1
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "dimensions": {"length": 785, "width": 250.5, "height": -0.359}, "tags": ["home", "green"]})""", // Tags and dimensions are out of order
+            // TODO: The following line should fail, but currently it passes. `uniqueItems` is not supported, as it would likely be too difficult to implement.
+            // R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green", "home"]})""",
+        }
+    );
+}
+
 int main() {
     fprintf(stdout, "Running grammar integration tests...\n");
     test_simple_grammar();
@@ -477,6 +1035,7 @@ int main() {
     test_failure_missing_root();
     test_failure_missing_reference();
     test_failure_left_recursion();
+    test_json_schema();
     fprintf(stdout, "All tests passed.\n");
     return 0;
 }

From 5b48cd53a87928db0c6447f0c9dac4db5802102d Mon Sep 17 00:00:00 2001
From: ddh0 <dylanhalladay02@icloud.com>
Date: Sat, 22 Jun 2024 07:16:10 -0600
Subject: [PATCH 121/131] Update llama-quantize ppl/file size output from
 LLaMA-v1 to Llama-3 values (#8058)

Uses the values computed by @JohannesGaessler in PR #7413
---
 examples/quantize/quantize.cpp | 46 +++++++++++++++++-----------------
 1 file changed, 23 insertions(+), 23 deletions(-)

diff --git a/examples/quantize/quantize.cpp b/examples/quantize/quantize.cpp
index 28584e14b..76e2052d5 100644
--- a/examples/quantize/quantize.cpp
+++ b/examples/quantize/quantize.cpp
@@ -16,41 +16,41 @@ struct quant_option {
 };
 
 static const std::vector<struct quant_option> QUANT_OPTIONS = {
-    { "Q4_0",   LLAMA_FTYPE_MOSTLY_Q4_0,   " 3.56G, +0.2166 ppl @ LLaMA-v1-7B", },
-    { "Q4_1",   LLAMA_FTYPE_MOSTLY_Q4_1,   " 3.90G, +0.1585 ppl @ LLaMA-v1-7B", },
-    { "Q5_0",   LLAMA_FTYPE_MOSTLY_Q5_0,   " 4.33G, +0.0683 ppl @ LLaMA-v1-7B", },
-    { "Q5_1",   LLAMA_FTYPE_MOSTLY_Q5_1,   " 4.70G, +0.0349 ppl @ LLaMA-v1-7B", },
+    { "Q4_0",   LLAMA_FTYPE_MOSTLY_Q4_0,   " 4.34G, +0.4685 ppl @ Llama-3-8B",  },
+    { "Q4_1",   LLAMA_FTYPE_MOSTLY_Q4_1,   " 4.78G, +0.4511 ppl @ Llama-3-8B",  },
+    { "Q5_0",   LLAMA_FTYPE_MOSTLY_Q5_0,   " 5.21G, +0.1316 ppl @ Llama-3-8B",  },
+    { "Q5_1",   LLAMA_FTYPE_MOSTLY_Q5_1,   " 5.65G, +0.1062 ppl @ Llama-3-8B",  },
     { "IQ2_XXS",LLAMA_FTYPE_MOSTLY_IQ2_XXS," 2.06 bpw quantization",            },
     { "IQ2_XS", LLAMA_FTYPE_MOSTLY_IQ2_XS, " 2.31 bpw quantization",            },
     { "IQ2_S",  LLAMA_FTYPE_MOSTLY_IQ2_S,  " 2.5  bpw quantization",            },
     { "IQ2_M",  LLAMA_FTYPE_MOSTLY_IQ2_M,  " 2.7  bpw quantization",            },
     { "IQ1_S",  LLAMA_FTYPE_MOSTLY_IQ1_S,  " 1.56 bpw quantization",            },
     { "IQ1_M",  LLAMA_FTYPE_MOSTLY_IQ1_M,  " 1.75 bpw quantization",            },
-    { "Q2_K",   LLAMA_FTYPE_MOSTLY_Q2_K,   " 2.63G, +0.6717 ppl @ LLaMA-v1-7B", },
-    { "Q2_K_S", LLAMA_FTYPE_MOSTLY_Q2_K_S, " 2.16G, +9.0634 ppl @ LLaMA-v1-7B", },
+    { "Q2_K",   LLAMA_FTYPE_MOSTLY_Q2_K,   " 2.96G, +3.5199 ppl @ Llama-3-8B",  },
+    { "Q2_K_S", LLAMA_FTYPE_MOSTLY_Q2_K_S, " 2.96G, +3.1836 ppl @ Llama-3-8B",  },
     { "IQ3_XXS",LLAMA_FTYPE_MOSTLY_IQ3_XXS," 3.06 bpw quantization",            },
     { "IQ3_S",  LLAMA_FTYPE_MOSTLY_IQ3_S,  " 3.44 bpw quantization",            },
     { "IQ3_M",  LLAMA_FTYPE_MOSTLY_IQ3_M,  " 3.66 bpw quantization mix",        },
-    { "Q3_K",   LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" },
-    { "IQ3_XS", LLAMA_FTYPE_MOSTLY_IQ3_XS, " 3.3 bpw quantization"   ,          },
-    { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 2.75G, +0.5551 ppl @ LLaMA-v1-7B", },
-    { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.07G, +0.2496 ppl @ LLaMA-v1-7B", },
-    { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 3.35G, +0.1764 ppl @ LLaMA-v1-7B", },
+    { "Q3_K",   LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M"                   },
+    { "IQ3_XS", LLAMA_FTYPE_MOSTLY_IQ3_XS, " 3.3 bpw quantization",             },
+    { "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 3.41G, +1.6321 ppl @ Llama-3-8B",  },
+    { "Q3_K_M", LLAMA_FTYPE_MOSTLY_Q3_K_M, " 3.74G, +0.6569 ppl @ Llama-3-8B",  },
+    { "Q3_K_L", LLAMA_FTYPE_MOSTLY_Q3_K_L, " 4.03G, +0.5562 ppl @ Llama-3-8B",  },
     { "IQ4_NL", LLAMA_FTYPE_MOSTLY_IQ4_NL, " 4.50 bpw non-linear quantization", },
     { "IQ4_XS", LLAMA_FTYPE_MOSTLY_IQ4_XS, " 4.25 bpw non-linear quantization", },
-    { "Q4_K",   LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M", },
-    { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 3.59G, +0.0992 ppl @ LLaMA-v1-7B", },
-    { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 3.80G, +0.0532 ppl @ LLaMA-v1-7B", },
-    { "Q5_K",   LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M", },
-    { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 4.33G, +0.0400 ppl @ LLaMA-v1-7B", },
-    { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 4.45G, +0.0122 ppl @ LLaMA-v1-7B", },
-    { "Q6_K",   LLAMA_FTYPE_MOSTLY_Q6_K,   " 5.15G, +0.0008 ppl @ LLaMA-v1-7B", },
-    { "Q8_0",   LLAMA_FTYPE_MOSTLY_Q8_0,   " 6.70G, +0.0004 ppl @ LLaMA-v1-7B", },
-    { "F16",    LLAMA_FTYPE_MOSTLY_F16,    "14.00G, -0.0020 ppl @ Mistral-7B", },
-    { "BF16",   LLAMA_FTYPE_MOSTLY_BF16,   "14.00G, -0.0050 ppl @ Mistral-7B", },
-    { "F32",    LLAMA_FTYPE_ALL_F32,       "26.00G              @ 7B", },
+    { "Q4_K",   LLAMA_FTYPE_MOSTLY_Q4_K_M, "alias for Q4_K_M",                  },
+    { "Q4_K_S", LLAMA_FTYPE_MOSTLY_Q4_K_S, " 4.37G, +0.2689 ppl @ Llama-3-8B",  },
+    { "Q4_K_M", LLAMA_FTYPE_MOSTLY_Q4_K_M, " 4.58G, +0.1754 ppl @ Llama-3-8B",  },
+    { "Q5_K",   LLAMA_FTYPE_MOSTLY_Q5_K_M, "alias for Q5_K_M",                  },
+    { "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 5.21G, +0.1049 ppl @ Llama-3-8B",  },
+    { "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 5.33G, +0.0569 ppl @ Llama-3-8B",  },
+    { "Q6_K",   LLAMA_FTYPE_MOSTLY_Q6_K,   " 6.14G, +0.0217 ppl @ Llama-3-8B",  },
+    { "Q8_0",   LLAMA_FTYPE_MOSTLY_Q8_0,   " 7.96G, +0.0026 ppl @ Llama-3-8B",  },
+    { "F16",    LLAMA_FTYPE_MOSTLY_F16,    "14.00G, +0.0020 ppl @ Mistral-7B",  },
+    { "BF16",   LLAMA_FTYPE_MOSTLY_BF16,   "14.00G, -0.0050 ppl @ Mistral-7B",  },
+    { "F32",    LLAMA_FTYPE_ALL_F32,       "26.00G              @ 7B",          },
     // Note: Ensure COPY comes after F32 to avoid ftype 0 from matching.
-    { "COPY",   LLAMA_FTYPE_ALL_F32,       "only copy tensors, no quantizing", },
+    { "COPY",   LLAMA_FTYPE_ALL_F32,       "only copy tensors, no quantizing",  },
 };
 
 static const char * const LLM_KV_QUANTIZE_IMATRIX_FILE       = "quantize.imatrix.file";

From 3aa184a8c7c553b5dfcc142d919f3db695df297a Mon Sep 17 00:00:00 2001
From: 0xspringtime <110655352+0xspringtime@users.noreply.github.com>
Date: Sat, 22 Jun 2024 09:37:41 -0400
Subject: [PATCH 122/131] convert-hf : change assert to exception (#8015)

---
 convert-hf-to-gguf.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index a6751cc80..166e5ded2 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -967,7 +967,13 @@ class XverseModel(Model):
         from transformers import AutoTokenizer
         tokenizer = AutoTokenizer.from_pretrained(dir_model)
         vocab_size = hparams.get("vocab_size", len(tokenizer.vocab))
-        assert max(tokenizer.vocab.values()) < vocab_size
+        # Since we are checking the maximum index, we need to ensure it's strictly less than vocab_size,
+        # because vocab_size is the count of items, and indexes start at 0.
+        max_vocab_index = max(tokenizer.get_vocab().values())
+        if max_vocab_index >= vocab_size:
+            raise ValueError("Vocabulary size exceeds expected maximum size.")
+
+
 
         reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
         added_vocab = tokenizer.get_added_vocab()

From adf480c3ab3abedc964c8ae381476257583ae134 Mon Sep 17 00:00:00 2001
From: HatsuneMikuUwU33 <173229399+HatsuneMikuUwU33@users.noreply.github.com>
Date: Sat, 22 Jun 2024 17:19:37 +0200
Subject: [PATCH 123/131] =?UTF-8?q?cvector-generator:=20Moe=20Moe=20Fixie-?=
 =?UTF-8?q?Fixie=20for=20Lots=20of=20Formats~!=20=E2=99=A1(=E1=90=A2=20?=
 =?UTF-8?q?=E1=B4=A5=20=E1=90=A2)=E2=99=A1=20(#8052)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Update negative.txt

* Update positive.txt

* Update cvector-generator.cpp

* Update cvector-generator.cpp
---
 examples/cvector-generator/cvector-generator.cpp | 4 ++--
 examples/cvector-generator/negative.txt          | 2 +-
 examples/cvector-generator/positive.txt          | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp
index 9941683db..8653bb630 100644
--- a/examples/cvector-generator/cvector-generator.cpp
+++ b/examples/cvector-generator/cvector-generator.cpp
@@ -377,8 +377,8 @@ static int prepare_entries(gpt_params & params, train_context & ctx_train) {
     // create templated prompts
     std::vector<std::string> completions = ctrlvec_load_prompt_file(params.cvector_completions_file, false);
     auto format_template = [](std::string persona, std::string suffix) {
-        // entry in positive/negative.txt must already be formatted i.e. "[INST] Act as if you're extremely happy. [/INST]"
-        return persona + " " + suffix;
+        // entry in positive/negative.txt must already be formatted i.e. "[INST] Act as if you're extremely happy. [/INST] "
+        return persona + suffix;
     };
     for (size_t i = 0; i < positive_prompts.size(); ++i) {
         for (int j = 0; j < std::min((int) completions.size(), params.n_completions); ++j) {
diff --git a/examples/cvector-generator/negative.txt b/examples/cvector-generator/negative.txt
index 2ac3387f1..3e9951752 100644
--- a/examples/cvector-generator/negative.txt
+++ b/examples/cvector-generator/negative.txt
@@ -1 +1 @@
-[INST] Act like a person who is extremely sad. [/INST]
\ No newline at end of file
+[INST] Act like a person who is extremely sad. [/INST] 
diff --git a/examples/cvector-generator/positive.txt b/examples/cvector-generator/positive.txt
index f28e9aa1a..880236787 100644
--- a/examples/cvector-generator/positive.txt
+++ b/examples/cvector-generator/positive.txt
@@ -1 +1 @@
-[INST] Act like a person who is extremely happy. [/INST]
\ No newline at end of file
+[INST] Act like a person who is extremely happy. [/INST] 

From 3e58b0ee355f78be41cf5211b68426761339bc3c Mon Sep 17 00:00:00 2001
From: Xuan Son Nguyen <thichthat@gmail.com>
Date: Sat, 22 Jun 2024 18:11:30 +0200
Subject: [PATCH 124/131] cvector: fix CI + correct help message (#8064)

* cvector: fix CI + correct help message

* also correct --pca-iter
---
 .editorconfig                                    | 1 +
 common/common.cpp                                | 4 ++--
 examples/cvector-generator/README.md             | 2 +-
 examples/cvector-generator/cvector-generator.cpp | 2 +-
 4 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/.editorconfig b/.editorconfig
index bd525e13f..f88f8da67 100644
--- a/.editorconfig
+++ b/.editorconfig
@@ -28,4 +28,5 @@ indent_size = 2
 indent_style = tab
 
 [examples/cvector-generator/*.txt]
+trim_trailing_whitespace = unset
 insert_final_newline = unset
diff --git a/common/common.cpp b/common/common.cpp
index 64f160af1..cfdedcbae 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1989,8 +1989,8 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "cvector",     "       --completions-file FNAME",
                                                                         "completions file (default: '%s')", params.cvector_completions_file.c_str() });
     options.push_back({ "cvector",     "       --completions N",        "number of lines of completions file to use (default: %d)", params.n_completions });
-    options.push_back({ "cvector",     "       --batch-pca N",          "batch size used for PCA. Larger batch runs faster, but uses more memory (default: %d)", params.n_pca_batch });
-    options.push_back({ "cvector",     "       --iter-pca N",           "number of iterations used for PCA (default: %d)", params.n_pca_iterations });
+    options.push_back({ "cvector",     "       --pca-batch N",          "batch size used for PCA. Larger batch runs faster, but uses more memory (default: %d)", params.n_pca_batch });
+    options.push_back({ "cvector",     "       --pca-iter N",           "number of iterations used for PCA (default: %d)", params.n_pca_iterations });
 
     printf("usage: %s [options]\n", argv[0]);
 
diff --git a/examples/cvector-generator/README.md b/examples/cvector-generator/README.md
index 7b0e79c1f..5182e906d 100644
--- a/examples/cvector-generator/README.md
+++ b/examples/cvector-generator/README.md
@@ -17,7 +17,7 @@ Related PRs:
 ./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99
 
 # With advanced options
-./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100
+./cvector-generator -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --pca-batch 100
 
 # To see help message
 ./cvector-generator -h
diff --git a/examples/cvector-generator/cvector-generator.cpp b/examples/cvector-generator/cvector-generator.cpp
index 8653bb630..355905cb0 100644
--- a/examples/cvector-generator/cvector-generator.cpp
+++ b/examples/cvector-generator/cvector-generator.cpp
@@ -40,7 +40,7 @@ static void print_usage(int argc, char ** argv, const gpt_params & params) {
     printf("\nexample usage:\n");
     printf("\n    CPU only:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf\n", argv[0]);
     printf("\n    with GPU:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99\n", argv[0]);
-    printf("\n    advanced:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --batch-pca 100\n", argv[0]);
+    printf("\n    advanced:   %s -m ./dolphin-2.0-mistral-7b.Q4_K_M.gguf -ngl 99 --completions 128 --pca-iter 2000 --pca-batch 100\n", argv[0]);
     printf("\n");
 }
 

From b5a5f34efadec8d8f0057b35cb04742abfeb2ef5 Mon Sep 17 00:00:00 2001
From: Clint Herron <hanclinto@gmail.com>
Date: Sat, 22 Jun 2024 14:28:18 -0400
Subject: [PATCH 125/131] Removing extra blank lines that were breaking Lint.
 (#8067)

---
 convert-hf-to-gguf.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 166e5ded2..3107b69f7 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -973,8 +973,6 @@ class XverseModel(Model):
         if max_vocab_index >= vocab_size:
             raise ValueError("Vocabulary size exceeds expected maximum size.")
 
-
-
         reverse_vocab: dict[int, str] = {id_: encoded_tok for encoded_tok, id_ in tokenizer.vocab.items()}
         added_vocab = tokenizer.get_added_vocab()
 

From 45c0e2e4c1268c2d7c8c45536f15e3c9a731ecdc Mon Sep 17 00:00:00 2001
From: 0cc4m <picard12@live.de>
Date: Sun, 23 Jun 2024 10:21:25 +0200
Subject: [PATCH 126/131] Refactor Vulkan backend to allow multiple contexts
 (#7961)

* Refactor Vulkan backend to allow multiple contexts

* Fix too many shader groups called validation error in llama3 on AMD and Intel GPUs

* Fix Vulkan debug build error
---
 ggml-vulkan-shaders.hpp              | 39661 +++++++++++++------------
 ggml-vulkan.cpp                      |  2023 +-
 vulkan-shaders/mul_mat_vec.comp      |     2 +-
 vulkan-shaders/mul_mat_vec_q2_k.comp |     2 +-
 vulkan-shaders/mul_mat_vec_q3_k.comp |     2 +-
 vulkan-shaders/mul_mat_vec_q4_k.comp |     2 +-
 vulkan-shaders/mul_mat_vec_q5_k.comp |     2 +-
 vulkan-shaders/mul_mat_vec_q6_k.comp |     2 +-
 8 files changed, 21021 insertions(+), 20675 deletions(-)

diff --git a/ggml-vulkan-shaders.hpp b/ggml-vulkan-shaders.hpp
index e97a8c6b7..01ff66f71 100644
--- a/ggml-vulkan-shaders.hpp
+++ b/ggml-vulkan-shaders.hpp
@@ -120086,669 +120086,1007 @@ const uint64_t mul_f32_len = 4276;
 
 unsigned char mul_mat_vec_f16_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x41,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x48,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x40,0x01,0x00,0x00,0xee,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xda,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0x70,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xf4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
-0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xfe,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x38,0x01,0x00,0x00,0x27,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x20,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
+0x41,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,0xad,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x20,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,0x27,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x20,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x42,0x01,0x00,0x00,
+0xd3,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x3b,0x01,0x00,0x00,0xc7,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0x46,0x01,0x00,0x00,0x70,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8c,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x8e,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x70,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0xde,0x00,0x00,0x00,
+0x8e,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0x47,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe1,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe5,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x78,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xea,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe8,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x47,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x70,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe2,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0xf5,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xdf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe1,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xfb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x33,0x01,0x00,0x00,0x74,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x89,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x86,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x06,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfb,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_f16_f16_f32_len = 3568;
+const uint64_t mul_mat_vec_f16_f16_f32_len = 3716;
 
 unsigned char mul_mat_vec_f16_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x3f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x46,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x32,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x38,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x38,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x38,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x38,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x7b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0xc5,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0xd2,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0xc7,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x70,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8c,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8e,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x70,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0xdd,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe7,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x78,0x00,0x00,0x00,0x45,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x89,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x8a,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x70,0x00,0x00,0x00,0x70,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x45,0x01,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xfa,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x74,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x86,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc5,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfa,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_f16_f32_f32_len = 3536;
+const uint64_t mul_mat_vec_f16_f32_f32_len = 3684;
 
 unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x3d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x44,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
-0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0xf7,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6b,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x80,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xba,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xbb,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
+0x29,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0xae,0x00,0x00,0x00,
+0xa1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x36,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x36,0x01,0x00,0x00,
+0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x19,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x3e,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0xaa,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc3,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc3,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0x3e,0x01,0x00,0x00,0xd2,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x87,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0x42,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x89,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0xdd,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x92,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe0,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdf,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x92,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe7,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x86,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x87,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xdb,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x92,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xfa,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x01,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x71,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x86,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x83,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfa,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_f32_f16_f32_len = 3684;
+
+unsigned char mul_mat_vec_f32_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x40,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
+0x66,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb6,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x35,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x6a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x80,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xba,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xba,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbc,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xf5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xf7,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xfe,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xff,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x01,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -120790,2978 +121128,2415 @@ unsigned char mul_mat_vec_f32_f16_f32_data[] = {
 0x2e,0x00,0x00,0x00,0x66,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
-0x6b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x78,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x7a,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
-0x8a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
-0xb2,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0xb3,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0xb5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf4,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,
-0xf4,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x6a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x81,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x82,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0x92,0x00,0x00,0x00,
+0x1d,0x00,0x03,0x00,0xb9,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x1e,0x00,0x03,0x00,0xba,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0xba,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
+0x34,0x00,0x06,0x00,0x06,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0x86,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,0x2d,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
 0x25,0x00,0x00,0x00,0x36,0x00,0x05,0x00,0x02,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
 0x30,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x66,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x69,0x00,0x00,0x00,0x68,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x30,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
 0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x30,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x2f,0x00,0x00,0x00,
-0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x39,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
-0x38,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
-0x0b,0x01,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x10,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
-0x37,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x39,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
-0x4a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x1c,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x39,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x37,0x00,0x00,0x00,
-0x57,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x37,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x25,0x01,0x00,0x00,
-0x24,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x26,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0x25,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
-0x37,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x28,0x01,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x08,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
-0x7d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x81,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x39,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
-0x37,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x88,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x88,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0x8a,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x89,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x83,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x8b,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x82,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x78,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x91,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x8e,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
-0x88,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x99,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
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+0x38,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x29,0x01,0x00,0x00,
+0xaa,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xa5,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
+0xbc,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0xce,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0xc3,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x87,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x87,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x6d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x89,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x6d,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xda,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xda,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xef,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0xed,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xd7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd9,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xf3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xf1,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x69,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x1f,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+0xda,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xd9,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0x92,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x67,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xdc,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe0,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x92,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xe5,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x86,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x87,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x87,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x6d,0x00,0x00,0x00,
+0x6d,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xf0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xda,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdc,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x92,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xf6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xf4,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x71,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x86,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0xfa,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0xfd,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x00,0x01,0x00,0x00,
+0xff,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_f32_f16_f32_len = 3536;
-
-unsigned char mul_mat_vec_f32_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0xb5,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x35,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x66,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x6b,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xb3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xb3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf0,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xf1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xf1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xf1,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xf3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0xb8,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x1f,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0xba,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
-0xba,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x1f,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
-0x33,0x01,0x00,0x00,0xc7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x08,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,
-0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xcb,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0xc9,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x7f,0x00,0x00,0x00,
-0xcc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xcf,0x00,0x00,0x00,0x37,0x01,0x00,0x00,0x8f,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x81,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x83,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xd3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0xd9,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x67,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd9,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xd4,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xde,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xdc,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x6d,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xe4,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xe6,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x7f,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xde,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x8f,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xd6,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
-0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xd5,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
-0x8a,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x67,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xef,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xed,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xee,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x69,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x7b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xf9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xef,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t mul_mat_vec_f32_f32_f32_len = 3468;
+const uint64_t mul_mat_vec_f32_f32_f32_len = 3616;
 
 unsigned char mul_mat_vec_id_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x1b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x22,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,
 0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,
 0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
 0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x32,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,0x43,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x65,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
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+0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x38,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
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+0x3a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x41,0x00,0x00,0x00,
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-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
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-0x47,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xe4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xe4,0x00,0x00,0x00,
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+0x1c,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_f16_f32_len = 3460;
+const uint64_t mul_mat_vec_id_f16_f32_len = 3608;
 
 unsigned char mul_mat_vec_id_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x15,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x1c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x19,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x37,0x00,0x00,0x00,
-0x40,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x5a,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x17,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x34,0x00,0x00,0x00,
+0x40,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0x62,0x00,0x00,0x00,0x72,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x16,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x37,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
+0x17,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x34,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x35,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x35,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x3e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x3e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x55,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x5a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa1,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xa2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xa2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xdf,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xe0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xe0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xe0,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xe2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xe2,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x35,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x37,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x3e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x3e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x3e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x3e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x59,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x62,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xa9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xa9,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xab,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xe6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xe7,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xe7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xe7,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe9,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xea,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x16,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x17,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x2d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2e,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x2e,0x00,0x00,0x00,0x2f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x30,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x34,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x35,0x00,0x00,0x00,
-0x34,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x36,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x36,0x00,0x00,0x00,0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x39,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x3e,0x00,0x00,0x00,
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+0x85,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
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+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
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+0x25,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x94,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0x88,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0e,0x01,0x00,0x00,0x9d,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
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+0x1f,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,
+0xb0,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x1f,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0xbb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0xb2,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x76,0x00,0x00,0x00,
+0xc2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x78,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x5c,0x00,0x00,0x00,
+0x5c,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0xcc,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x56,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xcb,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcf,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xca,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x81,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x64,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xd4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x64,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x75,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x72,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xdc,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x76,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xd4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd4,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x5c,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xcc,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xcc,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xc9,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xcb,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x81,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x64,0x00,0x00,0x00,
+0x56,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xe5,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe3,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0x60,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x75,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x1f,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe5,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_id_f32_f32_len = 3392;
+const uint64_t mul_mat_vec_id_f32_f32_len = 3540;
 
 unsigned char mul_mat_vec_id_q2_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x14,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x1b,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0xeb,0x02,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0xa8,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
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+0xf8,0x00,0x02,0x00,0x91,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd0,0x02,0x00,0x00,0x12,0x03,0x00,0x00,
+0x41,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x8e,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x90,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0xd1,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd3,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd3,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x13,0x03,0x00,0x00,0x84,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
+0xea,0x02,0x00,0x00,0xd6,0x02,0x00,0x00,0xac,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0xd9,0x02,0x00,0x00,0x13,0x03,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xd5,0x02,0x00,0x00,
+0xd6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xd9,0x02,0x00,0x00,0xd4,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd4,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0x60,0x00,0x00,0x00,
+0x13,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xde,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xdc,0x02,0x00,0x00,
+0xdd,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xdd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0x60,0x00,0x00,0x00,0x13,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x83,0x00,0x00,0x00,0xe2,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x80,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,0xe3,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xe5,0x02,0x00,0x00,
+0x83,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x80,0x00,0x00,0x00,0xe6,0x02,0x00,0x00,0xe5,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0x80,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xe5,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xde,0x02,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd6,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xea,0x02,0x00,0x00,0x13,0x03,0x00,0x00,
+0xe1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd5,0x02,0x00,0x00,0xaa,0x00,0x05,0x00,
+0x95,0x00,0x00,0x00,0xec,0x02,0x00,0x00,0x60,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xee,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xec,0x02,0x00,0x00,
+0xed,0x02,0x00,0x00,0xee,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xed,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf5,0x02,0x00,0x00,0x11,0x03,0x00,0x00,0x45,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x83,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x80,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,0xf6,0x02,0x00,0x00,
+0x41,0x00,0x06,0x00,0xcd,0x00,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xf2,0x02,0x00,0x00,0x1c,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf8,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xee,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xee,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_id_q2_k_f32_len = 8264;
+const uint64_t mul_mat_vec_id_q2_k_f32_len = 8412;
 
 unsigned char mul_mat_vec_id_q3_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x5c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x63,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0xac,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x37,0x03,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xaf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xaf,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xaf,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xaf,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb0,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xb1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa6,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xa8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
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+0x0b,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x17,0x00,0x00,0x00,
+0x0f,0x03,0x00,0x00,0x61,0x03,0x00,0x00,0x71,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbe,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x88,0x00,0x00,0x00,
+0x18,0x03,0x00,0x00,0x93,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x88,0x00,0x00,0x00,0x19,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0x1c,0x03,0x00,0x00,0x5e,0x03,0x00,0x00,
+0x41,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x99,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x9b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x1d,0x03,0x00,0x00,
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+0x5f,0x03,0x00,0x00,0x8c,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x36,0x03,0x00,0x00,0x22,0x03,0x00,0x00,0xac,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0x25,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x21,0x03,0x00,0x00,
+0x22,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x25,0x03,0x00,0x00,0x20,0x03,0x00,0x00,0x21,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x20,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0x28,0x03,0x00,0x00,0x60,0x00,0x00,0x00,
+0x5f,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0x2a,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x28,0x03,0x00,0x00,
+0x29,0x03,0x00,0x00,0x2a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x29,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2e,0x03,0x00,0x00,0x60,0x00,0x00,0x00,0x5f,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x92,0x00,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x2e,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x88,0x00,0x00,0x00,0x30,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x92,0x00,0x00,0x00,0x31,0x03,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x88,0x00,0x00,0x00,0x32,0x03,0x00,0x00,0x31,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x88,0x00,0x00,0x00,0x33,0x03,0x00,0x00,
+0x32,0x03,0x00,0x00,0x30,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x31,0x03,0x00,0x00,0x33,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x2a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2a,0x03,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0x1d,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x22,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x22,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x36,0x03,0x00,0x00,0x5f,0x03,0x00,0x00,
+0x71,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1f,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x21,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x60,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x3a,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x38,0x03,0x00,0x00,
+0x39,0x03,0x00,0x00,0x3a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x39,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x5d,0x03,0x00,0x00,0x45,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x92,0x00,0x00,0x00,0x42,0x03,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x88,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x42,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd0,0x00,0x00,0x00,0x44,0x03,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x1c,0x00,0x00,0x00,0x41,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x44,0x03,0x00,0x00,0x43,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x3a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3a,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_id_q3_k_f32_len = 9872;
+const uint64_t mul_mat_vec_id_q3_k_f32_len = 10020;
 
 unsigned char mul_mat_vec_id_q4_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x3d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x44,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
 0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
 0x50,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
-0x72,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x13,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x5a,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x59,0x00,0x00,0x00,
-0x68,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x84,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
-0x19,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,
-0x86,0x00,0x00,0x00,0x82,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x86,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x88,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x88,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x39,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x5a,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x90,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
-0x89,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x89,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x95,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
-0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
-0x98,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x70,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
-0x9e,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
-0xa1,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xa5,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
-0xa5,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0xa5,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,
-0xaf,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
-0x26,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
-0x22,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x24,0x01,0x00,0x00,0x23,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
-0x30,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
-0xa6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x2a,0x01,0x00,0x00,0x29,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x35,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0x2b,0x01,0x00,0x00,0x39,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
-0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
-0x2e,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x83,0x00,0x05,0x00,
-0x09,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
-0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
-0x36,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
-0xab,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0xbc,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0xc3,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0xc2,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x08,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xd3,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xd1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x86,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xd7,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x96,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x88,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x8a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xdb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0xda,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x6e,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0xdd,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe1,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xdc,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
-0xe4,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xe6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
-0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
-0x74,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x85,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x86,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe6,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0xd8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xde,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xde,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xdb,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xdd,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
-0x91,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
-0x6e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0x70,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x85,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x82,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0xc2,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf6,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t mul_mat_vec_id_q4_0_f32_len = 3852;
-
-unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x4a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x74,0x00,0x00,0x00,
-0x79,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
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+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x57,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x57,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x57,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6d,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x71,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x86,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x87,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
@@ -123791,1517 +123566,335 @@ unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
 0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1e,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
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-0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
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-0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
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+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
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+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0x30,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x31,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x34,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
+0x34,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0x32,0x01,0x00,0x00,0x39,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x38,0x01,0x00,0x00,
+0x37,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x39,0x01,0x00,0x00,0x35,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x2b,0x01,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xbf,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x1d,0x01,0x00,0x00,0xb2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xad,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0xc3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xc8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0xc3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,
+0xcb,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x8e,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x74,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x90,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x92,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x74,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe4,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x21,0x01,0x00,0x00,0x77,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x8c,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xc9,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x01,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xfd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_id_q4_1_f32_len = 3920;
-
-unsigned char mul_mat_vec_id_q4_k_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xc7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
-0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
-0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0xab,0x00,0x00,0x00,0x1e,0x02,0x00,0x00,0xa2,0x03,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xa7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x90,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xa9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x02,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1c,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x02,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x1c,0x02,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1e,0x02,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x02,0x00,0x00,
-0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x9f,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xa0,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa0,0x03,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xa0,0x03,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa2,0x03,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa2,0x03,0x00,0x00,
-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa9,0x03,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x10,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0x7f,0x00,0x00,0x00,0x2b,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0xd9,0x02,0x00,0x00,
-0x21,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x31,0x03,0x00,0x00,0xb0,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x35,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0xe3,0x02,0x00,0x00,
-0x2b,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x3b,0x03,0x00,0x00,0x40,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,0xc7,0x02,0x00,0x00,
-0x35,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x45,0x03,0x00,0x00,0x6b,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x49,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x45,0x03,0x00,0x00,0xd0,0x02,0x00,0x00,
-0x3f,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x4f,0x03,0x00,0x00,0x92,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x53,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0xd9,0x02,0x00,0x00,
-0x49,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x59,0x03,0x00,0x00,0xba,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x5d,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x59,0x03,0x00,0x00,0xe3,0x02,0x00,0x00,
-0x53,0x03,0x00,0x00,0x70,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x65,0x03,0x00,0x00,0xcb,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
-0x7f,0x00,0x00,0x00,0x69,0x03,0x00,0x00,0xd9,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,0x6a,0x03,0x00,0x00,
-0x70,0x02,0x00,0x00,0x69,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x6b,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x45,0x02,0x00,0x00,0x65,0x03,0x00,0x00,
-0x6a,0x03,0x00,0x00,0x70,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x6e,0x03,0x00,0x00,0x13,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x70,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0x97,0x02,0x00,0x00,0x6e,0x03,0x00,0x00,
-0x6b,0x03,0x00,0x00,0x70,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x73,0x03,0x00,0x00,0x2f,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x7f,0x00,0x00,0x00,0x75,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,0x73,0x03,0x00,0x00,
-0x70,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,
-0x79,0x03,0x00,0x00,0xb9,0x00,0x00,0x00,0x5d,0x03,0x00,0x00,
-0x7f,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0xc6,0x03,0x00,0x00,
-0x79,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,0x7f,0x00,0x00,0x00,
-0x7a,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xb2,0x00,0x00,0x00,0x75,0x03,0x00,0x00,0xc6,0x03,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x7c,0x03,0x00,0x00,
-0x8a,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,
-0x7d,0x03,0x00,0x00,0x7c,0x03,0x00,0x00,0x7a,0x03,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x8a,0x00,0x00,0x00,0x7d,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x80,0x03,0x00,0x00,
-0xc2,0x03,0x00,0x00,0x58,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x8d,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x8f,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,
-0x81,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x83,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x83,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xc3,0x03,0x00,0x00,0x83,0x00,0x00,0x00,
-0x8f,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,0x86,0x03,0x00,0x00,
-0xac,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0x89,0x03,0x00,0x00,
-0xc3,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0x85,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x89,0x03,0x00,0x00,0x84,0x03,0x00,0x00,
-0x85,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x84,0x03,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0x8c,0x03,0x00,0x00,
-0x59,0x00,0x00,0x00,0xc3,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x8e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x8c,0x03,0x00,0x00,0x8d,0x03,0x00,0x00,0x8e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x8d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x92,0x03,0x00,0x00,0x59,0x00,0x00,0x00,
-0xc3,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
-0x93,0x03,0x00,0x00,0x82,0x00,0x00,0x00,0x92,0x03,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x94,0x03,0x00,0x00,
-0x93,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
-0x95,0x03,0x00,0x00,0x82,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x96,0x03,0x00,0x00,
-0x95,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,
-0x97,0x03,0x00,0x00,0x96,0x03,0x00,0x00,0x94,0x03,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x95,0x03,0x00,0x00,0x97,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x8e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x8e,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x81,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x86,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x86,0x03,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,
-0xc3,0x03,0x00,0x00,0xbf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x83,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x85,0x03,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0x9c,0x03,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x9e,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x9c,0x03,0x00,0x00,0x9d,0x03,0x00,0x00,0x9e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x9d,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xa5,0x03,0x00,0x00,0xc1,0x03,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x89,0x00,0x00,0x00,
-0xa6,0x03,0x00,0x00,0x82,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0xa7,0x03,0x00,0x00,
-0xa6,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x22,0x02,0x00,0x00,
-0xa8,0x03,0x00,0x00,0xa2,0x03,0x00,0x00,0x1c,0x00,0x00,0x00,
-0xa5,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xa8,0x03,0x00,0x00,
-0xa7,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0xe2,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x41,0x01,0x00,0x00,0xe1,0x00,0x00,0x00,0x92,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0x99,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x6e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe8,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0x99,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x41,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xed,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xeb,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xec,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x8a,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0x8e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xf6,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8e,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xed,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x74,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe5,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x41,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0x99,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x7c,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x21,0x01,0x00,0x00,
+0x78,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x8d,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x8a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xc9,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0x01,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x07,0x01,0x00,0x00,
+0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q4_k_f32_len = 9796;
+const uint64_t mul_mat_vec_id_q4_0_f32_len = 4000;
 
-unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
+unsigned char mul_mat_vec_id_q4_1_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x91,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x51,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
-0xa0,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
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-0x83,0x01,0x00,0x00,0x82,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
-0x09,0x00,0x00,0x00,0x84,0x01,0x00,0x00,0x7c,0x01,0x00,0x00,
-0x83,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
-0x86,0x01,0x00,0x00,0x84,0x01,0x00,0x00,0x90,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
-0x86,0x01,0x00,0x00,0x53,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x88,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0xd8,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0xef,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x25,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0x88,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0x1d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xef,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xe5,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x8d,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xb6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xb8,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
-0xb8,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,
-0xac,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
-0x8e,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0x0a,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x0e,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x09,0x01,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
-0xa2,0x00,0x00,0x00,0x8e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x13,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x11,0x01,0x00,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x12,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x17,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,
-0x8e,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xb3,0x00,0x00,0x00,
-0x18,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,0x17,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
-0x18,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x1b,0x01,0x00,0x00,0xb4,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
-0x19,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xb4,0x00,0x00,0x00,
-0x1c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x13,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x13,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x0b,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x0b,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x1f,0x01,0x00,0x00,0x8e,0x01,0x00,0x00,0x31,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x0a,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xbf,0x00,0x00,0x00,
-0x21,0x01,0x00,0x00,0xa2,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x23,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x21,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
-0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
-0x47,0x01,0x00,0x00,0x9e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0xb3,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
-0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x2c,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xef,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
-0x25,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x2d,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x23,0x01,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_id_q5_0_f32_len = 4364;
-
-unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x89,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
-0x7b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0x22,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc8,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x82,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x82,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x96,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xe1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xe2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xe2,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xe2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe4,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xca,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xca,0x00,0x00,0x00,
 0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x20,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x20,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x06,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x20,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x22,0x01,0x00,0x00,
+0x47,0x00,0x03,0x00,0x06,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x08,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x08,0x01,0x00,0x00,
 0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x29,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x2a,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,
 0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
 0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
@@ -125312,2383 +123905,1556 @@ unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
 0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,
+0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,
 0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x40,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x46,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x62,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
-0x71,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x71,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x73,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x74,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x78,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x79,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x7a,0x00,0x00,0x00,
-0x7b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x7d,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x1e,0x00,0x0b,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x38,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x3d,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x4d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x55,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x56,0x00,0x00,0x00,
+0x55,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x57,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x56,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
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+0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x5f,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,
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-0x22,0x00,0x00,0x00,0x25,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_id_q5_1_f32_len = 4244;
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x60,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x5f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x60,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x62,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x6f,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4e,0x00,0x00,0x00,0x74,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x81,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8e,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x8f,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x90,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x90,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,0xa0,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xc7,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xc8,0x00,0x00,0x00,
+0xc7,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc9,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0xca,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
+0x06,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
+0x8e,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x05,0x01,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
+0x07,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x07,0x01,0x00,0x00,0x08,0x01,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x0f,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x33,0x00,0x06,0x00,
+0x4d,0x00,0x00,0x00,0x10,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
+0x50,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
+0x02,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x77,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x78,0x00,0x00,0x00,0x75,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x7a,0x00,0x00,0x00,0x79,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x74,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x7c,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x7a,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0x77,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x75,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x82,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x51,0x00,0x00,0x00,
+0x14,0x01,0x00,0x00,0x4f,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x5a,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x58,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x19,0x01,0x00,0x00,0x18,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x61,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1c,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0x19,0x01,0x00,0x00,0x1c,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x62,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0x61,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
+0x20,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,
+0x22,0x01,0x00,0x00,0x61,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x22,0x01,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x24,0x01,0x00,0x00,0x21,0x01,0x00,0x00,0x23,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x61,0x00,0x00,0x00,0x6f,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x27,0x01,0x00,0x00,0x26,0x01,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x28,0x01,0x00,0x00,
+0x15,0x01,0x00,0x00,0x27,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x94,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x97,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x97,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x75,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x62,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x9e,0x00,0x00,0x00,0x9d,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x9f,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x8e,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x9f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
+0x98,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa1,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x98,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x8e,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa6,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xa4,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0x84,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0xac,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0xae,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x89,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xaf,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb4,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x82,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0xa7,0x00,0x00,0x00,0xb3,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0xaf,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x30,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x32,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x41,0x00,0x07,0x00,0x26,0x00,0x00,0x00,0x37,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0x37,0x01,0x00,0x00,0x73,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x41,0x00,0x08,0x00,0x38,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x36,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x3f,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0x42,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x41,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x46,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x47,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x49,0x01,0x00,0x00,
+0x47,0x01,0x00,0x00,0x33,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0x39,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0x4b,0x01,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x24,0x01,0x00,0x00,
+0xb9,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd0,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xcf,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0x4c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xd0,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xca,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
+0xd5,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
+0xde,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x95,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x4f,0x01,0x00,0x00,0x7b,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x97,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x99,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe9,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x50,0x01,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
+0xec,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0xa0,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x75,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xeb,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xef,0x00,0x00,0x00,
+0xea,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xea,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xa0,0x00,0x00,0x00,
+0xf2,0x00,0x00,0x00,0x83,0x00,0x00,0x00,0x50,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf4,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf2,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x83,0x00,0x00,0x00,0x50,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0x94,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x91,0x00,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xfa,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0x95,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x95,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xec,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x50,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe9,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa0,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x83,0x00,0x00,0x00,
+0x75,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x04,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x03,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x28,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd0,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,
+0x08,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x04,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x04,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
-unsigned char mul_mat_vec_id_q5_k_f32_data[] = {
+};
+const uint64_t mul_mat_vec_id_q4_1_f32_len = 4068;
+
+unsigned char mul_mat_vec_id_q4_k_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xb2,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xce,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x8f,0x00,0x00,0x00,
-0xb8,0x00,0x00,0x00,0x28,0x02,0x00,0x00,0x8d,0x04,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,
+0x89,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,0x25,0x02,0x00,0x00,
+0xa9,0x03,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xac,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xae,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xae,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0xf9,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x9c,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x58,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x6e,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x6e,0x04,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xae,0x04,0x00,0x00,
-0x90,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,0x85,0x04,0x00,0x00,
-0x71,0x04,0x00,0x00,0xac,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
-0x74,0x04,0x00,0x00,0xae,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0x70,0x04,0x00,0x00,0x71,0x04,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x74,0x04,0x00,0x00,
-0x6f,0x04,0x00,0x00,0x70,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x6f,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
-0x77,0x04,0x00,0x00,0x59,0x00,0x00,0x00,0xae,0x04,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x79,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x77,0x04,0x00,0x00,0x78,0x04,0x00,0x00,
-0x79,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x78,0x04,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x7d,0x04,0x00,0x00,
-0x59,0x00,0x00,0x00,0xae,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0x7e,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x7d,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
-0x7f,0x04,0x00,0x00,0x7e,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0x80,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
-0x81,0x04,0x00,0x00,0x80,0x04,0x00,0x00,0x81,0x00,0x05,0x00,
-0x8c,0x00,0x00,0x00,0x82,0x04,0x00,0x00,0x81,0x04,0x00,0x00,
-0x7f,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0x80,0x04,0x00,0x00,
-0x82,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x79,0x04,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x79,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x58,0x00,0x00,0x00,0x58,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x71,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x71,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x85,0x04,0x00,0x00,0xae,0x04,0x00,0x00,0x82,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x6e,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x70,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
-0x87,0x04,0x00,0x00,0x59,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x89,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x87,0x04,0x00,0x00,0x88,0x04,0x00,0x00,
-0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x88,0x04,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x90,0x04,0x00,0x00,
-0xac,0x04,0x00,0x00,0x3d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0x91,0x04,0x00,0x00,0x8f,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8c,0x00,0x00,0x00,
-0x92,0x04,0x00,0x00,0x91,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
-0x2c,0x02,0x00,0x00,0x93,0x04,0x00,0x00,0x8d,0x04,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x90,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x93,0x04,0x00,0x00,0x92,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x89,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x89,0x04,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_id_q5_k_f32_len = 12668;
-
-unsigned char mul_mat_vec_id_q6_k_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xf1,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
-0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
-0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3a,0x00,0x00,0x00,0x55,0x00,0x00,0x00,0x88,0x00,0x00,0x00,
-0xad,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0xd3,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x23,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x55,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa5,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xa7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xa9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xaa,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xab,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xab,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xad,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xbf,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xc0,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd0,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xd1,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd1,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xd1,0x01,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd3,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd3,0x01,0x00,0x00,
-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xda,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x10,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
-0x1b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x17,0x00,0x00,0x00,0x1e,0x00,0x0b,0x00,0x23,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x25,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x17,0x00,0x00,0x00,0x26,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
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+0xea,0x02,0x00,0x00,0x32,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x42,0x03,0x00,0x00,0x47,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x46,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x42,0x03,0x00,0x00,
+0xce,0x02,0x00,0x00,0x3c,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x72,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x50,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,
+0xd7,0x02,0x00,0x00,0x46,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x56,0x03,0x00,0x00,0x99,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x5a,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x56,0x03,0x00,0x00,
+0xe0,0x02,0x00,0x00,0x50,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x60,0x03,0x00,0x00,0xc1,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x64,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x60,0x03,0x00,0x00,
+0xea,0x02,0x00,0x00,0x5a,0x03,0x00,0x00,0x70,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x6c,0x03,0x00,0x00,0xd2,0x00,0x00,0x00,
+0x70,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x70,0x03,0x00,0x00,
+0xe0,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x86,0x00,0x00,0x00,
+0x71,0x03,0x00,0x00,0x77,0x02,0x00,0x00,0x70,0x03,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x72,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x4c,0x02,0x00,0x00,
+0x6c,0x03,0x00,0x00,0x71,0x03,0x00,0x00,0x70,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x75,0x03,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x77,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x9e,0x02,0x00,0x00,
+0x75,0x03,0x00,0x00,0x72,0x03,0x00,0x00,0x70,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x7a,0x03,0x00,0x00,0x36,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x86,0x00,0x00,0x00,0x7c,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x7a,0x03,0x00,0x00,0x77,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x86,0x00,0x00,0x00,0x80,0x03,0x00,0x00,0xc0,0x00,0x00,0x00,
+0x64,0x03,0x00,0x00,0x7f,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0xcd,0x03,0x00,0x00,0x80,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x86,0x00,0x00,0x00,0x81,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x7c,0x03,0x00,0x00,
+0xcd,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x83,0x03,0x00,0x00,0x91,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x86,0x00,0x00,0x00,0x84,0x03,0x00,0x00,0x83,0x03,0x00,0x00,
+0x81,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x91,0x00,0x00,0x00,
+0x84,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x87,0x03,0x00,0x00,0xc9,0x03,0x00,0x00,0x41,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x94,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x96,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x41,0x00,0x00,0x00,
+0x41,0x00,0x00,0x00,0x88,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x8a,0x03,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xca,0x03,0x00,0x00,
+0x8a,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0xa1,0x03,0x00,0x00,
+0x8d,0x03,0x00,0x00,0xac,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,
+0x90,0x03,0x00,0x00,0xca,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x8c,0x03,0x00,0x00,0x8d,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x90,0x03,0x00,0x00,
+0x8b,0x03,0x00,0x00,0x8c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8b,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,
+0x93,0x03,0x00,0x00,0x60,0x00,0x00,0x00,0xca,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x95,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x93,0x03,0x00,0x00,0x94,0x03,0x00,0x00,
+0x95,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x94,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x99,0x03,0x00,0x00,
+0x60,0x00,0x00,0x00,0xca,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,0x89,0x00,0x00,0x00,
+0x99,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x9b,0x03,0x00,0x00,0x9a,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0x9c,0x03,0x00,0x00,0x89,0x00,0x00,0x00,
+0x60,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x9d,0x03,0x00,0x00,0x9c,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x86,0x00,0x00,0x00,0x9e,0x03,0x00,0x00,0x9d,0x03,0x00,0x00,
+0x9b,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x9c,0x03,0x00,0x00,
+0x9e,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x95,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x95,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x88,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8d,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa1,0x03,0x00,0x00,0xca,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x8a,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8c,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,
+0xa3,0x03,0x00,0x00,0x60,0x00,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xa5,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa3,0x03,0x00,0x00,0xa4,0x03,0x00,0x00,
+0xa5,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xa4,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xac,0x03,0x00,0x00,
+0xc8,0x03,0x00,0x00,0x45,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x90,0x00,0x00,0x00,0xad,0x03,0x00,0x00,0x89,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0xae,0x03,0x00,0x00,0xad,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0x29,0x02,0x00,0x00,0xaf,0x03,0x00,0x00,0xa9,0x03,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xac,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xaf,0x03,0x00,0x00,0xae,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa5,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xa5,0x03,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q6_k_f32_len = 11612;
+const uint64_t mul_mat_vec_id_q4_k_f32_len = 9944;
 
-unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
+unsigned char mul_mat_vec_id_q5_0_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x98,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
-0x71,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4b,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x4c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,0xb7,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x55,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x55,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0xbb,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xbb,0x00,0x00,0x00,
+0x08,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x94,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xbd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xbf,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x95,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0xbf,0x00,0x00,0x00,0x26,0x01,0x00,0x00,
+0x12,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xc6,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x95,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x11,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x15,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x10,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xc6,0x00,0x00,0x00,
+0x18,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,0x95,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x1a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
+0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0xa9,0x00,0x00,0x00,0x95,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0xba,0x00,0x00,0x00,0x1f,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x22,0x01,0x00,0x00,0xbb,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x23,0x01,0x00,0x00,
+0x22,0x01,0x00,0x00,0x20,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xbb,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x12,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x12,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x95,0x01,0x00,0x00,
+0x31,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x11,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xc6,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0xa9,0x00,0x00,0x00,
+0x5e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x2a,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x28,0x01,0x00,0x00,
+0x29,0x01,0x00,0x00,0x2a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x29,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,0xa5,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xba,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0xb7,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x33,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xf6,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x25,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x34,0x01,0x00,0x00,0x33,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x2a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x2a,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_id_q5_0_f32_len = 4512;
+
+unsigned char mul_mat_vec_id_q5_1_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x90,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x96,0x00,0x00,0x00,
+0x99,0x00,0x00,0x00,0xa2,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0x29,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x73,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7b,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x82,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x82,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x82,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x82,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x82,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x96,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xa2,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe8,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xf6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xf6,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xe9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xf6,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xf8,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xff,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xeb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xeb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x26,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x27,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x27,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x27,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x29,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x29,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x30,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x00,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
@@ -127696,245 +125462,2681 @@ unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
 0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
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+0xf8,0x00,0x02,0x00,0x0d,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x21,0x01,0x00,0x00,0x8f,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x0a,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x0c,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x23,0x01,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x25,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x23,0x01,0x00,0x00,
+0x24,0x01,0x00,0x00,0x25,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x24,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x49,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xb5,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,
+0xb2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xf1,0x00,0x00,0x00,0x2f,0x01,0x00,0x00,
+0x29,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x2f,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x25,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x25,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_id_q5_1_f32_len = 4392;
+
+unsigned char mul_mat_vec_id_q5_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xb9,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x3a,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,
+0x96,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x2f,0x02,0x00,0x00,
+0x94,0x04,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x19,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x5d,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xba,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xbb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xbb,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xbd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xbd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xbd,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbf,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x2c,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x2d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x2d,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x2d,0x02,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x2f,0x02,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x2f,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x91,0x04,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x92,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x92,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x92,0x04,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x94,0x04,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x94,0x04,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x9b,0x04,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x17,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x19,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x17,0x00,0x00,0x00,
+0x1e,0x00,0x0b,0x00,0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x26,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x27,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0x2c,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x17,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x3a,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x10,0x00,0x00,0x00,0x3e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x53,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x10,0x00,0x00,0x00,0x5d,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0x89,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x93,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x94,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x95,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x94,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x95,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x93,0x00,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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+0x08,0x03,0x00,0x00,0xec,0x02,0x00,0x00,0x41,0x00,0x06,0x00,
+0x33,0x02,0x00,0x00,0xbf,0x03,0x00,0x00,0x2f,0x02,0x00,0x00,
+0x1c,0x00,0x00,0x00,0xbe,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0xc0,0x03,0x00,0x00,0xbf,0x03,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc2,0x03,0x00,0x00,
+0x2a,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,
+0xc3,0x03,0x00,0x00,0xc2,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0xca,0x03,0x00,0x00,0x8b,0x02,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x86,0x00,0x00,0x00,0xcd,0x03,0x00,0x00,
+0xca,0x03,0x00,0x00,0x7c,0x03,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xce,0x03,0x00,0x00,0xcd,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x17,0x00,0x00,0x00,0xcf,0x03,0x00,0x00,
+0xce,0x03,0x00,0x00,0xab,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,
+0xd0,0x03,0x00,0x00,0xcf,0x03,0x00,0x00,0x1c,0x00,0x00,0x00,
+0xa9,0x00,0x06,0x00,0x17,0x00,0x00,0x00,0xd1,0x03,0x00,0x00,
+0xd0,0x03,0x00,0x00,0x44,0x02,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x17,0x00,0x00,0x00,0xd2,0x03,0x00,0x00,
+0xc3,0x03,0x00,0x00,0xd1,0x03,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0xd3,0x03,0x00,0x00,0xd2,0x03,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,0xd5,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc0,0x03,0x00,0x00,
+0xd3,0x03,0x00,0x00,0xba,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0xdb,0x03,0x00,0x00,0x34,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0xe1,0x03,0x00,0x00,
+0x4d,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0xe2,0x03,0x00,0x00,0xdb,0x03,0x00,0x00,0xe1,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0xe8,0x03,0x00,0x00,
+0x67,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0xe9,0x03,0x00,0x00,0xe2,0x03,0x00,0x00,0xe8,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0xef,0x03,0x00,0x00,
+0x81,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0xf0,0x03,0x00,0x00,0xe9,0x03,0x00,0x00,0xef,0x03,0x00,0x00,
+0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0xf2,0x03,0x00,0x00,
+0xf8,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,
+0xf9,0x03,0x00,0x00,0x9c,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0xff,0x03,0x00,0x00,0xb6,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x00,0x04,0x00,0x00,
+0xf9,0x03,0x00,0x00,0xff,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x06,0x04,0x00,0x00,0xd2,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x07,0x04,0x00,0x00,
+0x00,0x04,0x00,0x00,0x06,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x0d,0x04,0x00,0x00,0xee,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x0e,0x04,0x00,0x00,
+0x07,0x04,0x00,0x00,0x0d,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x10,0x04,0x00,0x00,0x07,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x11,0x04,0x00,0x00,
+0x0e,0x04,0x00,0x00,0x10,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x93,0x00,0x00,0x00,0x12,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xf0,0x03,0x00,0x00,0xf2,0x03,0x00,0x00,
+0x11,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,
+0x17,0x04,0x00,0x00,0x09,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x1d,0x04,0x00,0x00,0x21,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x1e,0x04,0x00,0x00,
+0x17,0x04,0x00,0x00,0x1d,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x24,0x04,0x00,0x00,0x3b,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x25,0x04,0x00,0x00,
+0x1e,0x04,0x00,0x00,0x24,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x2b,0x04,0x00,0x00,0x55,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x2c,0x04,0x00,0x00,
+0x25,0x04,0x00,0x00,0x2b,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x2e,0x04,0x00,0x00,0x5c,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,0x30,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x2c,0x04,0x00,0x00,
+0x2e,0x04,0x00,0x00,0x12,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x36,0x04,0x00,0x00,0x70,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x3c,0x04,0x00,0x00,
+0x89,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0x3d,0x04,0x00,0x00,0x36,0x04,0x00,0x00,0x3c,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x43,0x04,0x00,0x00,
+0xa4,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0x44,0x04,0x00,0x00,0x3d,0x04,0x00,0x00,0x43,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x4a,0x04,0x00,0x00,
+0xbf,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,
+0x4b,0x04,0x00,0x00,0x44,0x04,0x00,0x00,0x4a,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x4d,0x04,0x00,0x00,
+0x78,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,
+0x4f,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x4b,0x04,0x00,0x00,0x4d,0x04,0x00,0x00,0x30,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x57,0x04,0x00,0x00,
+0xdc,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,
+0x5b,0x04,0x00,0x00,0xea,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x93,0x00,0x00,0x00,0x5c,0x04,0x00,0x00,0x04,0x03,0x00,0x00,
+0x5b,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,
+0x5d,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x96,0x02,0x00,0x00,0x57,0x04,0x00,0x00,0x5c,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x60,0x04,0x00,0x00,
+0x24,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,
+0x62,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x6a,0x03,0x00,0x00,0x60,0x04,0x00,0x00,0x5d,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x65,0x04,0x00,0x00,
+0x40,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,
+0x67,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xd5,0x03,0x00,0x00,0x65,0x04,0x00,0x00,0x62,0x04,0x00,0x00,
+0x85,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x6b,0x04,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x4f,0x04,0x00,0x00,0x7f,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0xb8,0x04,0x00,0x00,0x6b,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x93,0x00,0x00,0x00,0x6c,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x67,0x04,0x00,0x00,0xb8,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x6e,0x04,0x00,0x00,0x9e,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x6f,0x04,0x00,0x00,
+0x6e,0x04,0x00,0x00,0x6c,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9e,0x00,0x00,0x00,0x6f,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x72,0x04,0x00,0x00,0xb4,0x04,0x00,0x00,
+0x41,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x73,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x75,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x75,0x04,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xb5,0x04,0x00,0x00,0x97,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x8c,0x04,0x00,0x00,0x78,0x04,0x00,0x00,0xac,0x00,0x05,0x00,
+0xa8,0x00,0x00,0x00,0x7b,0x04,0x00,0x00,0xb5,0x04,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x77,0x04,0x00,0x00,
+0x78,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x7b,0x04,0x00,0x00,0x76,0x04,0x00,0x00,0x77,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x76,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa8,0x00,0x00,0x00,0x7e,0x04,0x00,0x00,0x60,0x00,0x00,0x00,
+0xb5,0x04,0x00,0x00,0xf7,0x00,0x03,0x00,0x80,0x04,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x7e,0x04,0x00,0x00,
+0x7f,0x04,0x00,0x00,0x80,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x7f,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x84,0x04,0x00,0x00,0x60,0x00,0x00,0x00,0xb5,0x04,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x85,0x04,0x00,0x00,
+0x96,0x00,0x00,0x00,0x84,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x86,0x04,0x00,0x00,0x85,0x04,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x87,0x04,0x00,0x00,
+0x96,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x88,0x04,0x00,0x00,0x87,0x04,0x00,0x00,
+0x81,0x00,0x05,0x00,0x93,0x00,0x00,0x00,0x89,0x04,0x00,0x00,
+0x88,0x04,0x00,0x00,0x86,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x87,0x04,0x00,0x00,0x89,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x80,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x80,0x04,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0x73,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x78,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x78,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x8c,0x04,0x00,0x00,0xb5,0x04,0x00,0x00,
+0x89,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x75,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x77,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa8,0x00,0x00,0x00,0x8e,0x04,0x00,0x00,0x60,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x90,0x04,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x8e,0x04,0x00,0x00,
+0x8f,0x04,0x00,0x00,0x90,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x8f,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x04,0x00,0x00,0xb3,0x04,0x00,0x00,0x45,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x98,0x04,0x00,0x00,
+0x96,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x93,0x00,0x00,0x00,0x99,0x04,0x00,0x00,0x98,0x04,0x00,0x00,
+0x41,0x00,0x06,0x00,0x33,0x02,0x00,0x00,0x9a,0x04,0x00,0x00,
+0x94,0x04,0x00,0x00,0x1c,0x00,0x00,0x00,0x97,0x04,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9a,0x04,0x00,0x00,0x99,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x90,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x90,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_id_q5_k_f32_len = 12816;
+
+unsigned char mul_mat_vec_id_q6_k_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
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+0xd2,0x01,0x00,0x00,0xbe,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
+0xa1,0x00,0x00,0x00,0xc1,0x01,0x00,0x00,0xfb,0x01,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xbd,0x01,0x00,0x00,
+0xbe,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xc1,0x01,0x00,0x00,0xbc,0x01,0x00,0x00,0xbd,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbc,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xa1,0x00,0x00,0x00,0xc4,0x01,0x00,0x00,0x60,0x00,0x00,0x00,
+0xfb,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xc6,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xc4,0x01,0x00,0x00,
+0xc5,0x01,0x00,0x00,0xc6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xc5,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xca,0x01,0x00,0x00,0x60,0x00,0x00,0x00,0xfb,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xcb,0x01,0x00,0x00,
+0x8f,0x00,0x00,0x00,0xca,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xcc,0x01,0x00,0x00,0xcb,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xcd,0x01,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xce,0x01,0x00,0x00,0xcd,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,0xcf,0x01,0x00,0x00,
+0xce,0x01,0x00,0x00,0xcc,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xcd,0x01,0x00,0x00,0xcf,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc6,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x41,0x00,0x00,0x00,0x41,0x00,0x00,0x00,
+0xb9,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xbe,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbe,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x01,0x00,0x00,0xfb,0x01,0x00,0x00,
+0xf2,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xbb,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xbd,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa1,0x00,0x00,0x00,0xd4,0x01,0x00,0x00,0x60,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xd6,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd4,0x01,0x00,0x00,
+0xd5,0x01,0x00,0x00,0xd6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd5,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdd,0x01,0x00,0x00,0xf9,0x01,0x00,0x00,0x45,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xde,0x01,0x00,0x00,
+0x8f,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x8c,0x00,0x00,0x00,0xdf,0x01,0x00,0x00,0xde,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd1,0x00,0x00,0x00,0xe0,0x01,0x00,0x00,
+0xda,0x01,0x00,0x00,0x1c,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xe0,0x01,0x00,0x00,0xdf,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd6,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd6,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_id_q6_k_f32_len = 11760;
+
+unsigned char mul_mat_vec_id_q8_0_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x41,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0f,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x57,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,
+0x70,0x00,0x00,0x00,0x79,0x00,0x00,0x00,0x89,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0x10,0x00,0x06,0x00,
+0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x46,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x55,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x55,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x6c,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x70,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x86,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xbf,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xbf,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc1,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xfc,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xfd,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xfd,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xff,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xff,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x06,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x07,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2d,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x2f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x17,0x00,0x04,0x00,0x44,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x45,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x44,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x45,0x00,0x00,0x00,0x46,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x4b,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x4c,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x4c,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x4d,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x50,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0xc4,0x00,0x00,0x00,0x1b,0x01,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc7,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0x38,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xc7,0x00,0x00,0x00,
+0xd3,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
+0xd6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xbd,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xd9,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0x73,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x8f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x91,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x73,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0xdd,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x91,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0x6d,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xe2,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe6,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0xe2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0x98,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xeb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xe9,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,
+0x40,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x8c,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0x89,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xf3,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x8d,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x73,0x00,0x00,0x00,0x73,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe3,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf7,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe2,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0x98,0x00,0x00,0x00,
+0xf9,0x00,0x00,0x00,0x7b,0x00,0x00,0x00,0x6d,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xfb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,
+0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfa,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x77,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x8c,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x89,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x04,0x01,0x00,0x00,0x03,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xc7,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xff,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfb,0x00,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_id_q8_0_f32_len = 3808;
+const uint64_t mul_mat_vec_id_q8_0_f32_len = 3956;
 
 unsigned char mul_mat_vec_nc_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
@@ -128413,4167 +128615,3208 @@ const uint64_t mul_mat_vec_p021_f16_f32_len = 2768;
 
 unsigned char mul_mat_vec_q2_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x49,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x50,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x0c,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xab,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xae,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xae,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xae,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xaf,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xb0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb0,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xb0,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xcd,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xce,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xce,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xce,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x09,0x03,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x0a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x0a,0x03,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x0a,0x03,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x0c,0x03,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0c,0x03,0x00,0x00,
-0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x14,0x03,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x10,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
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-0x06,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x08,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x06,0x03,0x00,0x00,0x07,0x03,0x00,0x00,
-0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x07,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,
-0x3f,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x94,0x00,0x00,0x00,0x10,0x03,0x00,0x00,0x8d,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
-0x11,0x03,0x00,0x00,0x10,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
-0x12,0x03,0x00,0x00,0x13,0x03,0x00,0x00,0x0c,0x03,0x00,0x00,
-0x59,0x00,0x00,0x00,0x0f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x13,0x03,0x00,0x00,0x11,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x08,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x08,0x03,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q2_k_f16_f32_len = 8612;
-
-unsigned char mul_mat_vec_q2_k_f32_f32_data[] = {
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-0xa8,0x02,0x00,0x00,0xce,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
-0xa8,0x00,0x00,0x00,0xa9,0x02,0x00,0x00,0xa8,0x02,0x00,0x00,
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-0xaa,0x02,0x00,0x00,0xa9,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0xab,0x02,0x00,0x00,0xaa,0x02,0x00,0x00,
-0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
-0xab,0x02,0x00,0x00,0xe5,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
-0x8a,0x00,0x00,0x00,0xad,0x02,0x00,0x00,0xac,0x02,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x8a,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xa1,0x02,0x00,0x00,
-0xad,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x8a,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xee,0x01,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xa8,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
-0xf6,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0xa8,0x00,0x00,0x00,
-0xc0,0x02,0x00,0x00,0xbf,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xc1,0x02,0x00,0x00,
-0xc0,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0xc2,0x02,0x00,0x00,0xc1,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0xc3,0x02,0x00,0x00,0xc2,0x02,0x00,0x00,
-0xe5,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,
-0xc4,0x02,0x00,0x00,0xc3,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x8a,0x00,0x00,0x00,0xc6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0xb8,0x02,0x00,0x00,0xc4,0x02,0x00,0x00,
-0xaf,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0xc8,0x02,0x00,0x00,0x35,0x03,0x00,0x00,0xc6,0x02,0x00,0x00,
-0x80,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
-0x33,0x03,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xc6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xc8,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xd4,0x02,0x00,0x00,
-0xc1,0x00,0x00,0x00,0x35,0x03,0x00,0x00,0x7f,0x00,0x04,0x00,
-0x8a,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0xd4,0x02,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x8a,0x00,0x00,0x00,0xd5,0x02,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0x34,0x03,0x00,0x00,0x38,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x8a,0x00,0x00,0x00,0xd7,0x02,0x00,0x00,0x95,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,
-0xd7,0x02,0x00,0x00,0xd5,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x95,0x00,0x00,0x00,0xd8,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x9b,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9b,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdb,0x02,0x00,0x00,
-0x30,0x03,0x00,0x00,0x69,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,
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-0xf8,0x00,0x02,0x00,0xde,0x02,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0x8e,0x00,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,
-0xac,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xe4,0x02,0x00,0x00,
-0x31,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0xe0,0x02,0x00,0x00,0xe1,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xe4,0x02,0x00,0x00,0xdf,0x02,0x00,0x00,
-0xe0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xdf,0x02,0x00,0x00,
-0xb0,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xe7,0x02,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x31,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xe9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,0xe9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xed,0x02,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x31,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
-0xee,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,0xed,0x02,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xef,0x02,0x00,0x00,
-0xee,0x02,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
-0xf0,0x02,0x00,0x00,0x8d,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,
-0xf0,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0x8a,0x00,0x00,0x00,
-0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xf0,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xe9,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xe9,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
-0x69,0x00,0x00,0x00,0xdc,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe1,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe1,0x02,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,
-0x31,0x03,0x00,0x00,0xec,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xde,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe0,0x02,0x00,0x00,
-0xaa,0x00,0x05,0x00,0x9f,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xf9,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf7,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,0xf9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf8,0x02,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x2f,0x03,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x94,0x00,0x00,0x00,
-0x01,0x03,0x00,0x00,0x8d,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x8a,0x00,0x00,0x00,0x02,0x03,0x00,0x00,
-0x01,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xd8,0x00,0x00,0x00,
-0x03,0x03,0x00,0x00,0xfd,0x02,0x00,0x00,0x59,0x00,0x00,0x00,
-0x00,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x03,0x03,0x00,0x00,
-0x02,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf9,0x02,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q2_k_f32_f32_len = 8356;
-
-unsigned char mul_mat_vec_q3_k_f16_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x85,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
-0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
-0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0xbd,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb7,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xba,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xbb,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd2,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
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-0x30,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x44,0x03,0x00,0x00,0x81,0x03,0x00,0x00,0x7b,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x2d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x2f,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
-0x46,0x03,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x48,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x46,0x03,0x00,0x00,0x47,0x03,0x00,0x00,
-0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x47,0x03,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,
-0x7f,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x9c,0x00,0x00,0x00,0x50,0x03,0x00,0x00,0x95,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x92,0x00,0x00,0x00,
-0x51,0x03,0x00,0x00,0x50,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
-0x52,0x03,0x00,0x00,0x53,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,
-0x59,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x53,0x03,0x00,0x00,0x51,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x48,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q3_k_f16_f32_len = 10028;
-
-unsigned char mul_mat_vec_q3_k_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x7d,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
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-0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x41,0x03,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x3f,0x03,0x00,0x00,
-0x40,0x03,0x00,0x00,0x41,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
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-0x48,0x03,0x00,0x00,0x77,0x03,0x00,0x00,0x4d,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x9c,0x00,0x00,0x00,0x49,0x03,0x00,0x00,
-0x95,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x92,0x00,0x00,0x00,0x4a,0x03,0x00,0x00,0x49,0x03,0x00,0x00,
-0x41,0x00,0x06,0x00,0xdc,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,
-0x45,0x03,0x00,0x00,0x59,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x4b,0x03,0x00,0x00,0x4a,0x03,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x41,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x41,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t mul_mat_vec_q3_k_f32_f32_len = 9900;
-
-unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
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-0xd4,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
-0x5c,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0x73,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0xd8,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,
-0x08,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,
-0xe2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xe5,0x00,0x00,0x00,0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
-0xe3,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,
-0xe6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe9,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,0xa7,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x99,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x9b,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
-0xec,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0xf0,0x00,0x00,0x00,0xac,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,
-0xf3,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0xef,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf3,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xee,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xf8,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
-0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x85,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x93,0x00,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x97,0x00,0x00,0x00,
-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
-0x00,0x01,0x00,0x00,0xfe,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x97,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xf8,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf8,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
-0xea,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf0,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x04,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
-0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
-0xa2,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x85,0x00,0x00,0x00,
-0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x08,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x06,0x01,0x00,0x00,
-0x07,0x01,0x00,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x07,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x40,0x01,0x00,0x00,0x81,0x00,0x00,0x00,
-0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
-0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
-0x41,0x00,0x06,0x00,0x12,0x01,0x00,0x00,0x13,0x01,0x00,0x00,
-0x0c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x13,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x08,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x08,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-
-};
-const uint64_t mul_mat_vec_q4_0_f16_f32_len = 3960;
-
-unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x61,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
-0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
-0x93,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
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-0x4e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x4e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x7e,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x83,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x90,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xca,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xcb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xcb,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xcb,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x08,0x01,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x09,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x09,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x09,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x0b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x13,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
-0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x16,0x00,0x03,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
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-0x4e,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x51,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x35,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x52,0x01,0x00,0x00,
-0x51,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x39,0x00,0x00,0x00,
-0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
-0x54,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x52,0x01,0x00,0x00,0x55,0x01,0x00,0x00,
-0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
-0x56,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
-0x09,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
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-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0x3a,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
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-0xd4,0x00,0x00,0x00,0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x5a,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0xcd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xde,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0xdf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xe1,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
-0xd5,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x97,0x00,0x00,0x00,
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-0xe4,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x97,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,
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-0xf9,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xec,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x5e,0x01,0x00,0x00,0xeb,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0xef,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0xa2,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xee,0x00,0x00,0x00,
-0xef,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf2,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xa2,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
-0x5e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xf7,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,
-0xf6,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf6,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x93,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0x97,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x97,0x00,0x00,0x00,0x00,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf7,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa7,0x00,0x00,0x00,
-0xa7,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xef,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
-0x5e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0xa2,0x00,0x00,0x00,0x05,0x01,0x00,0x00,
-0x85,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x07,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0e,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x81,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x93,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
-0x0f,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xd3,0x00,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
-0x10,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x07,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x07,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q4_0_f32_f32_len = 3928;
-
-unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x71,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
-0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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-0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
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-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
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+0x48,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0xff,0x02,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfd,0x02,0x00,0x00,
+0xfe,0x02,0x00,0x00,0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfe,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x03,0x03,0x00,0x00,0x71,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0x94,0x00,0x00,0x00,0x03,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x05,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,0x06,0x03,0x00,0x00,
+0x94,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x06,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x91,0x00,0x00,0x00,0x08,0x03,0x00,0x00,
+0x07,0x03,0x00,0x00,0x05,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x06,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xff,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xff,0x02,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf7,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x0b,0x03,0x00,0x00,0x48,0x03,0x00,0x00,
+0xf3,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf6,0x02,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa6,0x00,0x00,0x00,0x0d,0x03,0x00,0x00,0x71,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x0f,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x0d,0x03,0x00,0x00,
+0x0e,0x03,0x00,0x00,0x0f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x46,0x03,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9b,0x00,0x00,0x00,0x17,0x03,0x00,0x00,
+0x94,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x18,0x03,0x00,0x00,0x17,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x19,0x03,0x00,0x00,0x1a,0x03,0x00,0x00,
+0x13,0x03,0x00,0x00,0x61,0x00,0x00,0x00,0x16,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x1a,0x03,0x00,0x00,0x18,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 
 };
-const uint64_t mul_mat_vec_q4_1_f16_f32_len = 4044;
+const uint64_t mul_mat_vec_q2_k_f16_f32_len = 8760;
 
-unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
+unsigned char mul_mat_vec_q2_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x6f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x40,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x94,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x04,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb0,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xb5,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xb5,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x54,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xb7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xb7,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xb7,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb9,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xd5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xd5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xd5,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd7,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x01,0x03,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x02,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x02,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x02,0x03,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x04,0x03,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x04,0x03,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x0b,0x03,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x64,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x80,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x91,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x92,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0x83,0x00,0x00,0x00,
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+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x6d,0x02,0x00,0x00,
+0x6c,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x6e,0x02,0x00,0x00,0x6d,0x02,0x00,0x00,0xec,0x00,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0x6f,0x02,0x00,0x00,
+0x6e,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,0x91,0x00,0x00,0x00,
+0x71,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x63,0x02,0x00,0x00,0x6f,0x02,0x00,0x00,0x5a,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x7d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0x81,0x02,0x00,0x00,0x85,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xaf,0x00,0x00,0x00,0x82,0x02,0x00,0x00,0x81,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x83,0x02,0x00,0x00,0x82,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x84,0x02,0x00,0x00,0x83,0x02,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x85,0x02,0x00,0x00,
+0x84,0x02,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x86,0x02,0x00,0x00,0x85,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x91,0x00,0x00,0x00,0x88,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x7a,0x02,0x00,0x00,
+0x86,0x02,0x00,0x00,0x71,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0xa5,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0x98,0x02,0x00,0x00,
+0xad,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0xaf,0x00,0x00,0x00,
+0x99,0x02,0x00,0x00,0x98,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x9a,0x02,0x00,0x00,
+0x99,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x9b,0x02,0x00,0x00,0x9a,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x9c,0x02,0x00,0x00,0x9b,0x02,0x00,0x00,
+0xec,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
+0x9d,0x02,0x00,0x00,0x9c,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x91,0x00,0x00,0x00,0x9f,0x02,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x91,0x02,0x00,0x00,0x9d,0x02,0x00,0x00,
+0x88,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xcd,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xaf,0x00,0x00,0x00,0xaf,0x02,0x00,0x00,0xd5,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xaf,0x00,0x00,0x00,0xb0,0x02,0x00,0x00,
+0xaf,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xb1,0x02,0x00,0x00,0xb0,0x02,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xb2,0x02,0x00,0x00,
+0xb1,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xb3,0x02,0x00,0x00,0xb2,0x02,0x00,0x00,0xec,0x00,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0xb4,0x02,0x00,0x00,
+0xb3,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,0x91,0x00,0x00,0x00,
+0xb6,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xa8,0x02,0x00,0x00,0xb4,0x02,0x00,0x00,0x9f,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xf5,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0xc6,0x02,0x00,0x00,0xfd,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xaf,0x00,0x00,0x00,0xc7,0x02,0x00,0x00,0xc6,0x02,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xc8,0x02,0x00,0x00,0xc7,0x02,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xc9,0x02,0x00,0x00,0xc8,0x02,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xca,0x02,0x00,0x00,
+0xc9,0x02,0x00,0x00,0xec,0x00,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x91,0x00,0x00,0x00,0xcb,0x02,0x00,0x00,0xca,0x02,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x91,0x00,0x00,0x00,0xcd,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xbf,0x02,0x00,0x00,
+0xcb,0x02,0x00,0x00,0xb6,0x02,0x00,0x00,0x81,0x00,0x05,0x00,
+0x91,0x00,0x00,0x00,0xcf,0x02,0x00,0x00,0x3c,0x03,0x00,0x00,
+0xcd,0x02,0x00,0x00,0x80,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xd1,0x02,0x00,0x00,0x3a,0x03,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcd,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcf,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
+0xdb,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,
+0x7f,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0x3f,0x03,0x00,0x00,
+0xdb,0x02,0x00,0x00,0x0c,0x00,0x08,0x00,0x91,0x00,0x00,0x00,
+0xdc,0x02,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x3b,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,0xde,0x02,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x91,0x00,0x00,0x00,
+0xdf,0x02,0x00,0x00,0xde,0x02,0x00,0x00,0xdc,0x02,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9c,0x00,0x00,0x00,0xdf,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa2,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe2,0x02,0x00,0x00,0x37,0x03,0x00,0x00,0x51,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x9f,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa1,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x38,0x03,0x00,0x00,
+0x95,0x00,0x00,0x00,0xa1,0x00,0x00,0x00,0xfc,0x02,0x00,0x00,
+0xe8,0x02,0x00,0x00,0xac,0x00,0x05,0x00,0xa6,0x00,0x00,0x00,
+0xeb,0x02,0x00,0x00,0x38,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xe7,0x02,0x00,0x00,0xe8,0x02,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xeb,0x02,0x00,0x00,
+0xe6,0x02,0x00,0x00,0xe7,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe6,0x02,0x00,0x00,0xb0,0x00,0x05,0x00,0xa6,0x00,0x00,0x00,
+0xee,0x02,0x00,0x00,0x71,0x00,0x00,0x00,0x38,0x03,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xf0,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xee,0x02,0x00,0x00,0xef,0x02,0x00,0x00,
+0xf0,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,0xef,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x71,0x00,0x00,0x00,0x38,0x03,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9b,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0x94,0x00,0x00,0x00,
+0xf4,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9b,0x00,0x00,0x00,0xf7,0x02,0x00,0x00,0x94,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
+0xf8,0x02,0x00,0x00,0xf7,0x02,0x00,0x00,0x81,0x00,0x05,0x00,
+0x91,0x00,0x00,0x00,0xf9,0x02,0x00,0x00,0xf8,0x02,0x00,0x00,
+0xf6,0x02,0x00,0x00,0x3e,0x00,0x03,0x00,0xf7,0x02,0x00,0x00,
+0xf9,0x02,0x00,0x00,0xf9,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf0,0x02,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0xe3,0x02,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe8,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe8,0x02,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xfc,0x02,0x00,0x00,0x38,0x03,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xe5,0x02,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xe7,0x02,0x00,0x00,0xaa,0x00,0x05,0x00,0xa6,0x00,0x00,0x00,
+0xfe,0x02,0x00,0x00,0x71,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x00,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xfe,0x02,0x00,0x00,0xff,0x02,0x00,0x00,
+0x00,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0xff,0x02,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x03,0x00,0x00,
+0x36,0x03,0x00,0x00,0x55,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9b,0x00,0x00,0x00,0x08,0x03,0x00,0x00,0x94,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x91,0x00,0x00,0x00,
+0x09,0x03,0x00,0x00,0x08,0x03,0x00,0x00,0x41,0x00,0x06,0x00,
+0xdf,0x00,0x00,0x00,0x0a,0x03,0x00,0x00,0x04,0x03,0x00,0x00,
+0x61,0x00,0x00,0x00,0x07,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x0a,0x03,0x00,0x00,0x09,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x00,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x00,0x03,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q2_k_f32_f32_len = 8504;
+
+unsigned char mul_mat_vec_q3_k_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x8c,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x53,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
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+0x37,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x3a,0x03,0x00,0x00,0x35,0x03,0x00,0x00,0x36,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x35,0x03,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xb1,0x00,0x00,0x00,0x3d,0x03,0x00,0x00,0x71,0x00,0x00,0x00,
+0x88,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,0x3f,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x3d,0x03,0x00,0x00,
+0x3e,0x03,0x00,0x00,0x3f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x3e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x43,0x03,0x00,0x00,0x71,0x00,0x00,0x00,0x88,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,0x44,0x03,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x43,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x99,0x00,0x00,0x00,0x45,0x03,0x00,0x00,0x44,0x03,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,0x46,0x03,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x99,0x00,0x00,0x00,0x47,0x03,0x00,0x00,0x46,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x99,0x00,0x00,0x00,0x48,0x03,0x00,0x00,
+0x47,0x03,0x00,0x00,0x45,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x46,0x03,0x00,0x00,0x48,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x3f,0x03,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
+0x32,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x37,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x37,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4b,0x03,0x00,0x00,0x88,0x03,0x00,0x00,
+0x82,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x34,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x36,0x03,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xb1,0x00,0x00,0x00,0x4d,0x03,0x00,0x00,0x71,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x4f,0x03,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x4d,0x03,0x00,0x00,
+0x4e,0x03,0x00,0x00,0x4f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4e,0x03,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x56,0x03,0x00,0x00,0x86,0x03,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,0x57,0x03,0x00,0x00,
+0x9c,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x99,0x00,0x00,0x00,0x58,0x03,0x00,0x00,0x57,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0x59,0x03,0x00,0x00,0x5a,0x03,0x00,0x00,
+0x53,0x03,0x00,0x00,0x61,0x00,0x00,0x00,0x56,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x5a,0x03,0x00,0x00,0x58,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x4f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x4f,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_q3_k_f16_f32_len = 10176;
+
+unsigned char mul_mat_vec_q3_k_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x84,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x9c,0x00,0x00,0x00,
+0xc4,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0x4c,0x03,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xba,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc0,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x60,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc0,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x6c,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xc2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xc2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd8,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xd9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xd9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xdb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x49,0x03,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x4a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4a,0x03,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x4a,0x03,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4c,0x03,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4c,0x03,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x53,0x03,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x34,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x40,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x45,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x4a,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x4e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x64,0x00,0x00,0x00,
+0x00,0x01,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x6e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
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+0xc2,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,0xec,0x02,0x00,0x00,
+0xe9,0x02,0x00,0x00,0x83,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xed,0x02,0x00,0x00,0xec,0x02,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xee,0x02,0x00,0x00,
+0xed,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xef,0x02,0x00,0x00,0xee,0x02,0x00,0x00,0xc8,0x00,0x00,0x00,
+0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xf0,0x02,0x00,0x00,
+0xef,0x02,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0xf1,0x02,0x00,0x00,0xe4,0x02,0x00,0x00,
+0xf0,0x02,0x00,0x00,0x72,0x00,0x04,0x00,0x87,0x00,0x00,0x00,
+0xf2,0x02,0x00,0x00,0xf1,0x02,0x00,0x00,0x72,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xf3,0x02,0x00,0x00,0xf2,0x02,0x00,0x00,
+0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xf4,0x02,0x00,0x00,
+0xf3,0x02,0x00,0x00,0x01,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x99,0x00,0x00,0x00,0xf5,0x02,0x00,0x00,0xf4,0x02,0x00,0x00,
+0x85,0x00,0x05,0x00,0x99,0x00,0x00,0x00,0xf6,0x02,0x00,0x00,
+0xda,0x02,0x00,0x00,0xf5,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x7f,0x00,0x00,0x00,0x00,0x03,0x00,0x00,0x24,0x02,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,0x01,0x03,0x00,0x00,
+0x00,0x03,0x00,0x00,0x45,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x02,0x03,0x00,0x00,0x01,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x03,0x03,0x00,0x00,
+0x02,0x03,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x04,0x03,0x00,0x00,0x03,0x03,0x00,0x00,0xc8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x0e,0x03,0x00,0x00,
+0x31,0x02,0x00,0x00,0xc7,0x00,0x05,0x00,0x7f,0x00,0x00,0x00,
+0x11,0x03,0x00,0x00,0x0e,0x03,0x00,0x00,0xed,0x01,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x03,0x00,0x00,
+0x11,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x13,0x03,0x00,0x00,0x12,0x03,0x00,0x00,0xab,0x00,0x05,0x00,
+0xb1,0x00,0x00,0x00,0x14,0x03,0x00,0x00,0x13,0x03,0x00,0x00,
+0x61,0x00,0x00,0x00,0xa9,0x00,0x06,0x00,0x1b,0x00,0x00,0x00,
+0x15,0x03,0x00,0x00,0x14,0x03,0x00,0x00,0x61,0x00,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x16,0x03,0x00,0x00,0x04,0x03,0x00,0x00,0x15,0x03,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x99,0x00,0x00,0x00,0x17,0x03,0x00,0x00,
+0x16,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,0x99,0x00,0x00,0x00,
+0x19,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xf6,0x02,0x00,0x00,0x17,0x03,0x00,0x00,0xd0,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0x99,0x00,0x00,0x00,0x1b,0x03,0x00,0x00,
+0x83,0x03,0x00,0x00,0x19,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x03,0x00,0x00,0x82,0x03,0x00,0x00,
+0x82,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xd0,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd2,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x99,0x00,0x00,0x00,0x26,0x03,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x99,0x00,0x00,0x00,0x27,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xcc,0x00,0x00,0x00,
+0x83,0x03,0x00,0x00,0x26,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa4,0x00,0x00,0x00,0x27,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xad,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xad,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2a,0x03,0x00,0x00,
+0x7f,0x03,0x00,0x00,0x51,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xaa,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xac,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
+0x2b,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x2d,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2d,0x03,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x80,0x03,0x00,0x00,0x9d,0x00,0x00,0x00,
+0xac,0x00,0x00,0x00,0x44,0x03,0x00,0x00,0x30,0x03,0x00,0x00,
+0xac,0x00,0x05,0x00,0xb1,0x00,0x00,0x00,0x33,0x03,0x00,0x00,
+0x80,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x2f,0x03,0x00,0x00,0x30,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x33,0x03,0x00,0x00,0x2e,0x03,0x00,0x00,
+0x2f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2e,0x03,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xb1,0x00,0x00,0x00,0x36,0x03,0x00,0x00,
+0x71,0x00,0x00,0x00,0x80,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x38,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x36,0x03,0x00,0x00,0x37,0x03,0x00,0x00,0x38,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x37,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,0x71,0x00,0x00,0x00,
+0x80,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x9c,0x00,0x00,0x00,0x3c,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x99,0x00,0x00,0x00,0x3e,0x03,0x00,0x00,
+0x3d,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x9c,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x99,0x00,0x00,0x00,0x40,0x03,0x00,0x00,
+0x3f,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x99,0x00,0x00,0x00,
+0x41,0x03,0x00,0x00,0x40,0x03,0x00,0x00,0x3e,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x3f,0x03,0x00,0x00,0x41,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x38,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x38,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0x2b,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x30,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x30,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x44,0x03,0x00,0x00,
+0x80,0x03,0x00,0x00,0x82,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x2d,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x2f,0x03,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xb1,0x00,0x00,0x00,0x46,0x03,0x00,0x00,
+0x71,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x48,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x46,0x03,0x00,0x00,0x47,0x03,0x00,0x00,0x48,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x47,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x4f,0x03,0x00,0x00,0x7e,0x03,0x00,0x00,
+0x55,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa3,0x00,0x00,0x00,
+0x50,0x03,0x00,0x00,0x9c,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x99,0x00,0x00,0x00,0x51,0x03,0x00,0x00,
+0x50,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0xe3,0x00,0x00,0x00,
+0x52,0x03,0x00,0x00,0x4c,0x03,0x00,0x00,0x61,0x00,0x00,0x00,
+0x4f,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0x52,0x03,0x00,0x00,
+0x51,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0x48,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x48,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q3_k_f32_f32_len = 10048;
+
+unsigned char mul_mat_vec_q4_0_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x6a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,
-0x9b,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4f,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x56,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x56,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
-0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x56,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x86,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x98,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xd3,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xd3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd5,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd5,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xd4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
 0x47,0x00,0x04,0x00,0x10,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x11,0x01,0x00,0x00,
 0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
@@ -132582,8 +131825,8 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x13,0x01,0x00,0x00,
 0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
 0x13,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x01,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1c,0x01,0x00,0x00,
 0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
 0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
@@ -132595,231 +131838,239 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
 0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
 0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
-0x1e,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x1d,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x1e,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x1f,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x2e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x38,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x3d,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x41,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x17,0x00,0x04,0x00,0x4d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x4d,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x4e,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x50,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x57,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x56,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x57,0x00,0x00,0x00,
-0x58,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x5a,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x65,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x6b,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
-0x7c,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x87,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x4e,0x00,0x00,0x00,0x8b,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x32,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x98,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,0x99,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x98,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9a,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x9a,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x30,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x39,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x9d,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x9e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x14,0x00,0x02,0x00,0xaa,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xba,0x00,0x00,0x00,
-0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0xd3,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xd4,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0xf1,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x34,0x00,0x06,0x00,
-0x06,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0x86,0x00,0x00,0x00,
-0x98,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
-0x10,0x01,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
-0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,0x20,0x00,0x04,0x00,
-0x12,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x11,0x01,0x00,0x00,
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 0xf8,0x00,0x02,0x00,0xa3,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0xaf,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xf4,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x6e,0x01,0x00,0x00,0xf3,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
+0x67,0x01,0x00,0x00,0xf3,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,
 0x0b,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0xaa,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
-0x87,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
+0xaa,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
+0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xf6,0x00,0x00,0x00,
 0xf7,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0xfa,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,
 0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
 0xaa,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
-0x6e,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
+0x67,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xff,0x00,0x00,0x00,
 0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xfd,0x00,0x00,0x00,
 0xfe,0x00,0x00,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
 0xfe,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x67,0x01,0x00,0x00,
 0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
 0x9b,0x00,0x00,0x00,0x03,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
 0x08,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
@@ -132828,1803 +132079,3658 @@ unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
 0x08,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
 0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
 0xf9,0x00,0x02,0x00,0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xff,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
-0xaf,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xff,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x85,0x00,0x00,0x00,
+0x85,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf7,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf7,0x00,0x00,0x00,
 0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x6e,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x67,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
 0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,
 0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x8d,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x8d,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
 0x0f,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
 0x0d,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x46,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x47,0x01,0x00,0x00,
 0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,
 0x17,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
 0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x18,0x01,0x00,0x00,
-0x17,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0xdb,0x00,0x00,0x00,
-0x19,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x16,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x19,0x01,0x00,0x00,
+0x17,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x19,0x01,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x13,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x1a,0x01,0x00,0x00,
 0x18,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,
 0xf8,0x00,0x02,0x00,0x0f,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
 0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q4_1_f32_f32_len = 4012;
+const uint64_t mul_mat_vec_q4_0_f16_f32_len = 4108;
+
+unsigned char mul_mat_vec_q4_0_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x68,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x47,0x00,0x00,0x00,
+0x50,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
+0x8b,0x00,0x00,0x00,0x9b,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x12,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x12,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x47,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x4e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x4e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x4e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x7e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x8b,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x98,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd4,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x0f,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x10,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x10,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x10,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x12,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x12,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1a,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x30,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x35,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
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+0x54,0x01,0x00,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x4c,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x55,0x01,0x00,0x00,
+0x54,0x01,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
+0x35,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x59,0x01,0x00,0x00,0x58,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
+0x39,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x5b,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x59,0x01,0x00,0x00,
+0x5c,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x67,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x61,0x01,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x61,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0xc3,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0xda,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0x61,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xda,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xd4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0xe5,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
+0xe9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xec,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,0xe9,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,0xec,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0x64,0x01,0x00,0x00,0x85,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa1,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x85,0x00,0x00,0x00,0x85,0x00,0x00,0x00,
+0xf0,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0xf2,0x00,0x00,0x00,
+0xa3,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0xf6,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x7f,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf9,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,
+0xf5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xfe,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xfc,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x9e,0x00,0x00,0x00,
+0x03,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0x9f,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
+0x04,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x9f,0x00,0x00,0x00,
+0x07,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xfe,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfe,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x85,0x00,0x00,0x00,0x85,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf6,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0a,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xaa,0x00,0x00,0x00,
+0x0c,0x01,0x00,0x00,0x8d,0x00,0x00,0x00,0x7f,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x0e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x0c,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x0e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0d,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0x89,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9e,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x9b,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xda,0x00,0x00,0x00,0x18,0x01,0x00,0x00,0x12,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x18,0x01,0x00,0x00,0x17,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0e,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q4_0_f32_f32_len = 4076;
+
+unsigned char mul_mat_vec_q4_1_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x78,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x1b,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4f,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x56,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x56,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x56,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x86,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x8a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x93,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xa0,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0xda,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xda,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0xda,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xdc,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xdc,0x00,0x00,0x00,
+0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x18,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x19,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x19,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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+0x06,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0xa0,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0xb3,0x00,0x00,0x00,0x76,0x01,0x00,0x00,0xb1,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xab,0x00,0x00,0x00,0xaa,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xb3,0x00,0x00,0x00,
+0xaa,0x00,0x00,0x00,0xab,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaa,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xb6,0x00,0x00,0x00,0x76,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb8,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0x95,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xb6,0x00,0x00,0x00,
+0xb8,0x00,0x00,0x00,0x84,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0x91,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0xbe,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0x86,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x89,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0x82,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0xb9,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xcf,0x00,0x00,0x00,0x47,0x01,0x00,0x00,0xc1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x57,0x01,0x00,0x00,
+0xcf,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x41,0x00,0x07,0x00,
+0x26,0x00,0x00,0x00,0x58,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x59,0x01,0x00,0x00,
+0x58,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x5a,0x01,0x00,0x00,0x59,0x01,0x00,0x00,0x41,0x00,0x07,0x00,
+0x26,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
+0x5e,0x01,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x60,0x01,0x00,0x00,0x5f,0x01,0x00,0x00,0x41,0x00,0x08,0x00,
+0x38,0x00,0x00,0x00,0x65,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x36,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
+0x66,0x01,0x00,0x00,0x65,0x01,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x67,0x01,0x00,0x00,0x66,0x01,0x00,0x00,
+0xc7,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x69,0x01,0x00,0x00,
+0x67,0x01,0x00,0x00,0x3d,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x6a,0x01,0x00,0x00,0x69,0x01,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x6c,0x01,0x00,0x00,
+0x67,0x01,0x00,0x00,0x41,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x6d,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,
+0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x6a,0x01,0x00,0x00,0x6d,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x70,0x01,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x5a,0x01,0x00,0x00,0x50,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x72,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x60,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x73,0x01,0x00,0x00,
+0x70,0x01,0x00,0x00,0x72,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,0x73,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
+0xdf,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x26,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x73,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
+0xe1,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x26,0x00,0x00,0x00,0xee,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x18,0x00,0x00,0x00,0xef,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xf1,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf2,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa7,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,0x76,0x01,0x00,0x00,
+0x8d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xa9,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xab,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x8d,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xfc,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x77,0x01,0x00,0x00,0xfb,0x00,0x00,0x00,0xab,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
+0xb2,0x00,0x00,0x00,0x02,0x01,0x00,0x00,0x77,0x01,0x00,0x00,
+0x87,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xfe,0x00,0x00,0x00,
+0xff,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x02,0x01,0x00,0x00,0xfd,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xb2,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0x95,0x00,0x00,0x00,
+0x77,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x07,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x05,0x01,0x00,0x00,
+0x06,0x01,0x00,0x00,0x07,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x06,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x95,0x00,0x00,0x00,0x77,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa6,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
+0xa3,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0x10,0x01,0x00,0x00,0x0f,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xa7,0x00,0x00,0x00,0x10,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x07,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x07,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0x8d,0x00,0x00,0x00,
+0x8d,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xff,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xff,0x00,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x77,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfe,0x00,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0x15,0x01,0x00,0x00,
+0x95,0x00,0x00,0x00,0x87,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x17,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x15,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x16,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,
+0x91,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa6,0x00,0x00,0x00,
+0x1f,0x01,0x00,0x00,0xa3,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x20,0x01,0x00,0x00,
+0x1f,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x21,0x01,0x00,0x00,
+0x22,0x01,0x00,0x00,0x1b,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x22,0x01,0x00,0x00,
+0x20,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x17,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x17,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q4_1_f16_f32_len = 4192;
+
+unsigned char mul_mat_vec_q4_1_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x76,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x4f,0x00,0x00,0x00,
+0x58,0x00,0x00,0x00,0x86,0x00,0x00,0x00,0x8a,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0xa3,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
+0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
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+0x1f,0x01,0x00,0x00,0x1e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xe2,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x20,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x16,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x16,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q4_1_f32_f32_len = 4160;
 
 unsigned char mul_mat_vec_q4_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x0c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x13,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
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-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
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 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
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+0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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+0x9a,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x97,0x00,0x00,0x00,0xdf,0x03,0x00,0x00,0xde,0x03,0x00,0x00,
+0x41,0x00,0x06,0x00,0xe0,0x03,0x00,0x00,0xe1,0x03,0x00,0x00,
+0xda,0x03,0x00,0x00,0x61,0x00,0x00,0x00,0xdd,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xe1,0x03,0x00,0x00,0xdf,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd6,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd6,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_q4_k_f16_f32_len = 10400;
+const uint64_t mul_mat_vec_q4_k_f16_f32_len = 10548;
 
 unsigned char mul_mat_vec_q4_k_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xec,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
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 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
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+0x62,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,0x97,0x00,0x00,0x00,
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+0x7e,0x03,0x00,0x00,0xe3,0x00,0x00,0x00,0x70,0x00,0x04,0x00,
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+0x89,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0x92,0x03,0x00,0x00,0xd1,0x00,0x00,0x00,0x76,0x03,0x00,0x00,
+0x7f,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0xf2,0x03,0x00,0x00,
+0x92,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,0x97,0x00,0x00,0x00,
+0x93,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xca,0x00,0x00,0x00,0x8e,0x03,0x00,0x00,0xf2,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0x95,0x03,0x00,0x00,
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+0xee,0x03,0x00,0x00,0x51,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
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+0xac,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0xa2,0x03,0x00,0x00,
+0xef,0x03,0x00,0x00,0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x9e,0x03,0x00,0x00,0x9f,0x03,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xa2,0x03,0x00,0x00,0x9d,0x03,0x00,0x00,
+0x9e,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x9d,0x03,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0xa5,0x03,0x00,0x00,
+0x71,0x00,0x00,0x00,0xef,0x03,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xa7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xa5,0x03,0x00,0x00,0xa6,0x03,0x00,0x00,0xa7,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xa6,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
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+0xac,0x03,0x00,0x00,0x41,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0xae,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0xaf,0x03,0x00,0x00,
+0xae,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0x97,0x00,0x00,0x00,
+0xb0,0x03,0x00,0x00,0xaf,0x03,0x00,0x00,0xad,0x03,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xae,0x03,0x00,0x00,0xb0,0x03,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa7,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa7,0x03,0x00,0x00,0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0x9a,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9f,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x9f,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb3,0x03,0x00,0x00,
+0xef,0x03,0x00,0x00,0xd7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x9c,0x03,0x00,0x00,0xf8,0x00,0x02,0x00,0x9e,0x03,0x00,0x00,
+0xaa,0x00,0x05,0x00,0xac,0x00,0x00,0x00,0xb5,0x03,0x00,0x00,
+0x71,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xb7,0x03,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xb5,0x03,0x00,0x00,0xb6,0x03,0x00,0x00,0xb7,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb6,0x03,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xbe,0x03,0x00,0x00,0xed,0x03,0x00,0x00,
+0x55,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
+0xbf,0x03,0x00,0x00,0x9a,0x00,0x00,0x00,0x61,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x97,0x00,0x00,0x00,0xc0,0x03,0x00,0x00,
+0xbf,0x03,0x00,0x00,0x41,0x00,0x06,0x00,0x3b,0x02,0x00,0x00,
+0xc1,0x03,0x00,0x00,0xbb,0x03,0x00,0x00,0x61,0x00,0x00,0x00,
+0xbe,0x03,0x00,0x00,0x3e,0x00,0x03,0x00,0xc1,0x03,0x00,0x00,
+0xc0,0x03,0x00,0x00,0xf9,0x00,0x02,0x00,0xb7,0x03,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb7,0x03,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q4_k_f32_f32_len = 9888;
+const uint64_t mul_mat_vec_q4_k_f32_f32_len = 10036;
 
 unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
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+0xbf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
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+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
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+0xf8,0x00,0x02,0x00,0x3d,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
+0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q5_0_f16_f32_len = 4636;
+
+unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xbd,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
+0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
+0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
+0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
+0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
+0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
+0x40,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1f,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x16,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x23,0x00,0x00,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x78,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x7e,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x7e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xae,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xb1,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb9,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc6,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xff,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x00,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x00,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x00,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x02,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x02,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3d,0x01,0x00,0x00,0x06,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,0x3e,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x3e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x3e,0x01,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x40,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x40,0x01,0x00,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x47,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x48,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
+0x08,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x1c,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,
+0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x36,0x00,0x00,0x00,
+0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x55,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x57,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x00,0x00,0x80,0x41,
+0x17,0x00,0x04,0x00,0x76,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x7e,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x7f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x81,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x8d,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0x93,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x24,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0xa4,0x00,0x00,0x00,
+0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
+0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x77,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0xb1,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
+0xb9,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0xc6,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0xc7,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0xc6,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc8,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0xc8,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xcc,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x14,0x00,0x02,0x00,
+0xd8,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xe7,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,
+0xff,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,
+0x00,0x01,0x00,0x00,0xff,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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+0xaf,0x01,0x00,0x00,0x83,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0xb2,0x01,0x00,0x00,0xb0,0x01,0x00,0x00,0xbc,0x01,0x00,0x00,
+0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,
+0xb2,0x01,0x00,0x00,0x7f,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xb4,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0xf1,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x07,0x01,0x00,0x00,
+0x05,0x01,0x00,0x00,0xec,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
+0x08,0x01,0x00,0x00,0x09,0x01,0x00,0x00,0x02,0x01,0x00,0x00,
+0x25,0x00,0x00,0x00,0x07,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
+0xb4,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x07,0x01,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0x08,0x01,0x00,0x00,
+0x14,0x01,0x00,0x00,0x02,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,0x85,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,
+0x15,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
+0x17,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xfe,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x16,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x19,0x01,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0x19,0x01,0x00,0x00,0x17,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xcd,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,
+0xb9,0x01,0x00,0x00,0x1a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcf,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xd1,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x1e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0xba,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0xd1,0x00,0x00,0x00,0x38,0x01,0x00,0x00,0x24,0x01,0x00,0x00,
+0xac,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x27,0x01,0x00,0x00,
+0xba,0x01,0x00,0x00,0x5e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0x23,0x01,0x00,0x00,0x24,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x27,0x01,0x00,0x00,0x22,0x01,0x00,0x00,
+0x23,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x22,0x01,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,0x2a,0x01,0x00,0x00,
+0xbb,0x00,0x00,0x00,0xba,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0x2c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x2a,0x01,0x00,0x00,0x2b,0x01,0x00,0x00,0x2c,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0xbb,0x00,0x00,0x00,
+0xba,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,
+0x31,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x32,0x01,0x00,0x00,
+0x31,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x34,0x01,0x00,0x00,0xcd,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x35,0x01,0x00,0x00,0x34,0x01,0x00,0x00,
+0x32,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xcd,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x2c,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x2c,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x1a,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x1e,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x24,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x24,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x38,0x01,0x00,0x00,0xba,0x01,0x00,0x00,0x31,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x23,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xd8,0x00,0x00,0x00,
+0x3a,0x01,0x00,0x00,0xbb,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x3c,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x3b,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x3b,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x43,0x01,0x00,0x00,
+0x73,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xcc,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x25,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x45,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x08,0x01,0x00,0x00,0x46,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x25,0x00,0x00,0x00,0x43,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x46,0x01,0x00,0x00,0x45,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x3c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x3c,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q5_0_f32_f32_len = 4604;
+
+unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xb8,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
-0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x3a,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x3d,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x78,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb2,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb5,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xf9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xf9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xfc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xf9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x37,0x01,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xfe,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xfe,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x38,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x38,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3b,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x38,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x3a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x3a,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x42,0x01,0x00,0x00,
+0x3b,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3d,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3d,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x45,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x43,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x46,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
@@ -134632,378 +135738,381 @@ unsigned char mul_mat_vec_q5_0_f16_f32_data[] = {
 0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x1d,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x5e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x00,0x00,0x80,0x41,0x17,0x00,0x04,0x00,0x76,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x46,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x71,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x77,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
+0x72,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x71,0x00,0x00,0x00,
+0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x74,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x7e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x7f,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x81,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x82,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x8d,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x93,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
-0x07,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0xa4,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0xae,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,
-0xb2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0xbf,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0xc0,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0xbf,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc1,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0xc1,0x00,0x00,0x00,0xc2,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xc4,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,
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+0xf9,0x00,0x02,0x00,0x21,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x21,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x35,0x01,0x00,0x00,0xb7,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x1e,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x20,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xd4,0x00,0x00,0x00,
+0x37,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x39,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x37,0x01,0x00,0x00,0x38,0x01,0x00,0x00,
+0x39,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x38,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0x71,0x01,0x00,0x00,0xb3,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xc8,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x42,0x01,0x00,0x00,0x41,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x43,0x01,0x00,0x00,0x44,0x01,0x00,0x00,0x3d,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x40,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x44,0x01,0x00,0x00,0x42,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x39,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x39,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q5_0_f16_f32_len = 4488;
+const uint64_t mul_mat_vec_q5_1_f16_f32_len = 4532;
 
-unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
+unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
 0xb6,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0xae,0x00,0x00,0x00,0xb2,0x00,0x00,0x00,
-0xc2,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,0x39,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x7b,0x00,0x00,0x00,0xa9,0x00,0x00,0x00,0xac,0x00,0x00,0x00,
+0xb5,0x00,0x00,0x00,0xc5,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x1f,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x20,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x16,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x21,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x23,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x78,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x7e,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x7e,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x7e,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xae,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb2,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0xf9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xf9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x1c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x1d,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0xf9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xfb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x36,0x01,0x00,0x00,
+0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x73,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x05,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x79,0x00,0x00,0x00,0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
+0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,
+0x47,0x00,0x03,0x00,0x79,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xa9,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xac,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xb5,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xfb,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
-0x37,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x37,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xfc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
 0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
-0x37,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x39,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x39,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x40,0x01,0x00,0x00,
+0xfc,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xfe,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xfe,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x39,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x3a,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x3a,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x3c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x3c,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x43,0x01,0x00,0x00,
 0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x41,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x44,0x01,0x00,0x00,0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
 0x13,0x00,0x02,0x00,0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,
 0x03,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
 0x06,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
@@ -135011,5859 +136120,5199 @@ unsigned char mul_mat_vec_q5_0_f32_f32_data[] = {
 0x17,0x00,0x04,0x00,0x09,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
 0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
 0x10,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
-0x1a,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x1c,0x00,0x00,0x00,
 0x08,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x1d,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
-0x1c,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x1d,0x00,0x00,0x00,0x1e,0x00,0x05,0x00,0x1f,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,
-0x1d,0x00,0x03,0x00,0x20,0x00,0x00,0x00,0x1f,0x00,0x00,0x00,
-0x1e,0x00,0x03,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x22,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x22,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x15,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x29,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x31,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x20,0x00,0x04,0x00,0x32,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x36,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x24,0x00,0x00,0x00,0x45,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x24,0x00,0x00,0x00,
-0x55,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x57,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x5c,0x00,0x00,0x00,
-0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
-0x5e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x67,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,
-0x00,0x00,0x80,0x41,0x17,0x00,0x04,0x00,0x76,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x10,0x00,0x00,0x00,
+0x1c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x1a,0x00,0x00,0x00,0x1e,0x00,0x06,0x00,0x1c,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x1b,0x00,0x00,0x00,0x1d,0x00,0x03,0x00,0x1d,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x1e,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,
+0x1d,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x1f,0x00,0x00,0x00,
+0x0c,0x00,0x00,0x00,0x1e,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
+0x1f,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x15,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x26,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x2e,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,
+0x36,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
+0x37,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x40,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x46,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x21,0x00,0x00,0x00,0x50,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x52,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x19,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x57,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x62,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x17,0x00,0x04,0x00,0x71,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
-0x77,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x76,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0x77,0x00,0x00,0x00,0x78,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x79,0x00,0x00,0x00,
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+0x3b,0x00,0x04,0x00,0x72,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x74,0x00,0x00,0x00,
 0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x7e,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x79,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
 0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0xfa,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x3b,0x00,0x04,0x00,0xfa,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
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-0x39,0x01,0x00,0x00,0x0c,0x00,0x00,0x00,0x32,0x00,0x04,0x00,
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-0x6e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0x36,0x00,0x05,0x00,
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-0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1c,0x01,0x00,0x00,
-0xaa,0x00,0x05,0x00,0xd1,0x00,0x00,0x00,0x33,0x01,0x00,0x00,
-0xb4,0x00,0x00,0x00,0x5e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x35,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x33,0x01,0x00,0x00,0x34,0x01,0x00,0x00,0x35,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x34,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x3c,0x01,0x00,0x00,0x6c,0x01,0x00,0x00,
-0xb0,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc5,0x00,0x00,0x00,
-0x3d,0x01,0x00,0x00,0xc2,0x00,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x01,0x01,0x00,0x00,
-0x3f,0x01,0x00,0x00,0x39,0x01,0x00,0x00,0x25,0x00,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3f,0x01,0x00,0x00,
-0x3e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x35,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x35,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q5_0_f32_f32_len = 4456;
-
-unsigned char mul_mat_vec_q5_1_f16_f32_data[] = {
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-0x81,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
-0xa7,0x01,0x00,0x00,0xa9,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,0xaa,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x26,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,
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-0x02,0x01,0x00,0x00,0xaa,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,
-0xfc,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x26,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf7,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0b,0x01,0x00,0x00,
-0x0a,0x01,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
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-0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
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-0xf9,0x00,0x02,0x00,0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
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-0x2e,0x01,0x00,0x00,0x1a,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
-0xcc,0x00,0x00,0x00,0x1d,0x01,0x00,0x00,0xb0,0x01,0x00,0x00,
-0x59,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x19,0x01,0x00,0x00,
-0x1a,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x1d,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x19,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x18,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xcc,0x00,0x00,0x00,0x20,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
-0xb0,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0x22,0x01,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x20,0x01,0x00,0x00,
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-0xbd,0x00,0x00,0x00,0x26,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0x28,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
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-0x3e,0x00,0x03,0x00,0xc1,0x00,0x00,0x00,0x2b,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x22,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x22,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,0xd1,0x00,0x00,0x00,
-0xd1,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x1a,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1a,0x01,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2e,0x01,0x00,0x00,
-0xb0,0x01,0x00,0x00,0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x17,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x19,0x01,0x00,0x00,
-0xaa,0x00,0x05,0x00,0xcc,0x00,0x00,0x00,0x30,0x01,0x00,0x00,
-0xaf,0x00,0x00,0x00,0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x32,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x30,0x01,0x00,0x00,0x31,0x01,0x00,0x00,0x32,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x31,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x39,0x01,0x00,0x00,0x6a,0x01,0x00,0x00,
-0xab,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xc0,0x00,0x00,0x00,
-0x3a,0x01,0x00,0x00,0xbd,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x3b,0x01,0x00,0x00,
-0x3a,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x3c,0x01,0x00,0x00,
-0x3d,0x01,0x00,0x00,0x36,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x39,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x3d,0x01,0x00,0x00,
-0x3b,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x32,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x32,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q5_1_f16_f32_len = 4384;
-
-unsigned char mul_mat_vec_q5_1_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xaf,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
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-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x73,0x00,0x00,0x00,
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-0xbd,0x00,0x00,0x00,0xf7,0x00,0x00,0x00,0x35,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
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-0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
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-0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x79,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x79,0x00,0x00,0x00,
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-0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xf4,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xf5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xf5,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xf5,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xf7,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
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-0x32,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x33,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x08,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x16,0x00,0x03,0x00,
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+0x08,0x00,0x00,0x00,0x11,0x01,0x00,0x00,0x10,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x12,0x01,0x00,0x00,
+0x09,0x01,0x00,0x00,0x11,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,
+0x08,0x00,0x00,0x00,0x13,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x06,0x01,0x00,0x00,
+0x12,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x15,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x16,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
+0x13,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xc9,0x00,0x00,0x00,
+0x16,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x19,0x01,0x00,0x00,0xb4,0x01,0x00,0x00,0xaf,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcd,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,
+0xaf,0x00,0x00,0x00,0x1a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x1d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x1c,0x01,0x00,0x00,0xcd,0x00,0x00,0x00,0x34,0x01,0x00,0x00,
+0x20,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xd4,0x00,0x00,0x00,
+0x23,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,0x59,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0x1f,0x01,0x00,0x00,0x20,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x23,0x01,0x00,0x00,
+0x1e,0x01,0x00,0x00,0x1f,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x1e,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xd4,0x00,0x00,0x00,
+0x26,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x28,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x26,0x01,0x00,0x00,0x27,0x01,0x00,0x00,
+0x28,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x27,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x2c,0x01,0x00,0x00,
+0xb7,0x00,0x00,0x00,0xb5,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0xc8,0x00,0x00,0x00,0x2d,0x01,0x00,0x00,0xc5,0x00,0x00,0x00,
+0x2c,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x2e,0x01,0x00,0x00,0x2d,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x30,0x01,0x00,0x00,0xc9,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0x31,0x01,0x00,0x00,
+0x30,0x01,0x00,0x00,0x2e,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xc9,0x00,0x00,0x00,0x31,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x28,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x28,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0xaf,0x00,0x00,0x00,0xaf,0x00,0x00,0x00,
+0x1a,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x20,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x20,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x34,0x01,0x00,0x00,0xb5,0x01,0x00,0x00,
+0x2e,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x1d,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x1f,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xd4,0x00,0x00,0x00,0x36,0x01,0x00,0x00,0xb7,0x00,0x00,0x00,
+0x59,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x38,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x36,0x01,0x00,0x00,
+0x37,0x01,0x00,0x00,0x38,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x37,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x3f,0x01,0x00,0x00,0x6f,0x01,0x00,0x00,0xb3,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xc8,0x00,0x00,0x00,0x40,0x01,0x00,0x00,
+0xc5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x41,0x01,0x00,0x00,0x40,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0x04,0x01,0x00,0x00,0x42,0x01,0x00,0x00,
+0x3c,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x3f,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x42,0x01,0x00,0x00,0x41,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x38,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x38,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
 };
-const uint64_t mul_mat_vec_q5_1_f32_f32_len = 4352;
+const uint64_t mul_mat_vec_q5_1_f32_f32_len = 4500;
 
 unsigned char mul_mat_vec_q5_k_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0xf8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0xff,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
 0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
 0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
 0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
 0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
 0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
 0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,0xc9,0x00,0x00,0x00,
-0x3b,0x02,0x00,0x00,0xbf,0x04,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
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-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x42,0x02,0x00,0x00,0xc6,0x04,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
 0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
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-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
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 0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x17,0x00,0x04,0x00,0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x03,0x00,0x00,0x00,0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
-0x10,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x2b,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,
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-0x01,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,
-0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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-0xf8,0x00,0x02,0x00,0xa0,0x04,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0xf4,0x04,0x00,0x00,0xa1,0x00,0x00,0x00,
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-0xa2,0x04,0x00,0x00,0xa3,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xa6,0x04,0x00,0x00,0xa1,0x04,0x00,0x00,
-0xa2,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa1,0x04,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0xa9,0x04,0x00,0x00,
-0x6a,0x00,0x00,0x00,0xf4,0x04,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xab,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xa9,0x04,0x00,0x00,0xaa,0x04,0x00,0x00,0xab,0x04,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xaa,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xaf,0x04,0x00,0x00,0x6a,0x00,0x00,0x00,
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-0xb0,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0xaf,0x04,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xb1,0x04,0x00,0x00,
-0xb0,0x04,0x00,0x00,0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
-0xb2,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0x6a,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xb3,0x04,0x00,0x00,
-0xb2,0x04,0x00,0x00,0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
-0xb4,0x04,0x00,0x00,0xb3,0x04,0x00,0x00,0xb1,0x04,0x00,0x00,
-0x3e,0x00,0x03,0x00,0xb2,0x04,0x00,0x00,0xb4,0x04,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xab,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xab,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
-0x69,0x00,0x00,0x00,0x9e,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xa3,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa3,0x04,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb7,0x04,0x00,0x00,
-0xf4,0x04,0x00,0x00,0x93,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xa0,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa2,0x04,0x00,0x00,
-0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,0xb9,0x04,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xbb,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xb9,0x04,0x00,0x00,0xba,0x04,0x00,0x00,0xbb,0x04,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xba,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xc2,0x04,0x00,0x00,0xf2,0x04,0x00,0x00,
-0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,
-0xc3,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,0x59,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xc4,0x04,0x00,0x00,
-0xc3,0x04,0x00,0x00,0x41,0x00,0x06,0x00,0xc5,0x04,0x00,0x00,
-0xc6,0x04,0x00,0x00,0xbf,0x04,0x00,0x00,0x59,0x00,0x00,0x00,
-0xc2,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xc6,0x04,0x00,0x00,
-0xc4,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xbb,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q5_k_f16_f32_len = 13288;
-
-unsigned char mul_mat_vec_q5_k_f32_f32_data[] = {
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-0xd8,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
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-0x48,0x00,0x04,0x00,0x39,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
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-0x92,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0x93,0x04,0x00,0x00,
-0x95,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x8c,0x04,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x8c,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0x7f,0x04,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x84,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x84,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x98,0x04,0x00,0x00,0xd4,0x04,0x00,0x00,0x93,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0x81,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
-0x83,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
-0x9a,0x04,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x9c,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x9a,0x04,0x00,0x00,0x9b,0x04,0x00,0x00,
-0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9b,0x04,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xa3,0x04,0x00,0x00,
-0xd2,0x04,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0xa7,0x00,0x00,0x00,0xa4,0x04,0x00,0x00,0xa0,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
-0xa5,0x04,0x00,0x00,0xa4,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
-0x3f,0x02,0x00,0x00,0xa6,0x04,0x00,0x00,0xa0,0x04,0x00,0x00,
-0x59,0x00,0x00,0x00,0xa3,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
-0xa6,0x04,0x00,0x00,0xa5,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x9c,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x9c,0x04,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q5_k_f32_f32_len = 12776;
-
-unsigned char mul_mat_vec_q6_k_f16_f32_data[] = {
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-0x96,0x00,0x00,0x00,0xf6,0x03,0x00,0x00,0xf5,0x03,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,0xfa,0x03,0x00,0x00,
-0x90,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0xfb,0x03,0x00,0x00,0xfa,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0xfc,0x03,0x00,0x00,0xf6,0x03,0x00,0x00,
-0xfb,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x96,0x00,0x00,0x00,
-0xfd,0x03,0x00,0x00,0xfc,0x03,0x00,0x00,0xc6,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0xb4,0x00,0x00,0x00,0x03,0x04,0x00,0x00,
-0xb2,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,
-0x04,0x04,0x00,0x00,0x03,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,
-0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0x05,0x04,0x00,0x00,
-0x04,0x04,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
-0x06,0x04,0x00,0x00,0x05,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
-0xb4,0x00,0x00,0x00,0x0b,0x04,0x00,0x00,0x93,0x03,0x00,0x00,
-0xc2,0x00,0x05,0x00,0xb4,0x00,0x00,0x00,0x0c,0x04,0x00,0x00,
-0x0b,0x04,0x00,0x00,0x45,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
-0x06,0x00,0x00,0x00,0x0d,0x04,0x00,0x00,0x0c,0x04,0x00,0x00,
-0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x0e,0x04,0x00,0x00,
-0x0d,0x04,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
-0x0f,0x04,0x00,0x00,0x0e,0x04,0x00,0x00,0xc2,0x00,0x00,0x00,
-0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x10,0x04,0x00,0x00,
-0x0f,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
-0x1b,0x00,0x00,0x00,0x11,0x04,0x00,0x00,0x06,0x04,0x00,0x00,
-0x10,0x04,0x00,0x00,0x72,0x00,0x04,0x00,0xb7,0x00,0x00,0x00,
-0x12,0x04,0x00,0x00,0x11,0x04,0x00,0x00,0x72,0x00,0x04,0x00,
-0x1b,0x00,0x00,0x00,0x13,0x04,0x00,0x00,0x12,0x04,0x00,0x00,
-0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x14,0x04,0x00,0x00,
-0x13,0x04,0x00,0x00,0x0d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
-0x96,0x00,0x00,0x00,0x15,0x04,0x00,0x00,0x14,0x04,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x96,0x00,0x00,0x00,0x17,0x04,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xfd,0x03,0x00,0x00,
-0x15,0x04,0x00,0x00,0xef,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0x18,0x04,0x00,0x00,0x70,0x03,0x00,0x00,
-0x17,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0xc2,0x01,0x00,0x00,0xa1,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0xc3,0x01,0x00,0x00,0xc2,0x01,0x00,0x00,
-0x18,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xa1,0x00,0x00,0x00,
-0xc3,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xc6,0x01,0x00,0x00,0x1c,0x02,0x00,0x00,0x69,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xa4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xa6,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x69,0x00,0x00,0x00,
-0x69,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xc9,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,
-0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,
-0x9a,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe0,0x01,0x00,0x00,
-0xcc,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
-0xcf,0x01,0x00,0x00,0x1d,0x02,0x00,0x00,0x4b,0x00,0x00,0x00,
-0xf6,0x00,0x04,0x00,0xcb,0x01,0x00,0x00,0xcc,0x01,0x00,0x00,
-0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xcf,0x01,0x00,0x00,
-0xca,0x01,0x00,0x00,0xcb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xca,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
-0xd2,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xd4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xd2,0x01,0x00,0x00,0xd3,0x01,0x00,0x00,
-0xd4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xd3,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd8,0x01,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x1d,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
-0xa0,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
-0xd8,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0xda,0x01,0x00,0x00,0xd9,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
-0xa0,0x00,0x00,0x00,0xdb,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
-0x6a,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0xdc,0x01,0x00,0x00,0xdb,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
-0x96,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,0xdc,0x01,0x00,0x00,
-0xda,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xdb,0x01,0x00,0x00,
-0xdd,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd4,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xd4,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
-0x69,0x00,0x00,0x00,0x69,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xcc,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xcc,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xe0,0x01,0x00,0x00,0x1d,0x02,0x00,0x00,0xfe,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xc9,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xcb,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xab,0x00,0x00,0x00,
-0xe2,0x01,0x00,0x00,0x6a,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0xe4,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xe2,0x01,0x00,0x00,0xe3,0x01,0x00,0x00,
-0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe3,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,
-0x1b,0x02,0x00,0x00,0x4d,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0xa0,0x00,0x00,0x00,0xec,0x01,0x00,0x00,0x99,0x00,0x00,0x00,
-0x59,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x96,0x00,0x00,0x00,
-0xed,0x01,0x00,0x00,0xec,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xee,0x01,0x00,0x00,0xef,0x01,0x00,0x00,0xe8,0x01,0x00,0x00,
-0x59,0x00,0x00,0x00,0xeb,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0xef,0x01,0x00,0x00,0xed,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xe4,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe4,0x01,0x00,0x00,
-0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q6_k_f16_f32_len = 11960;
-
-unsigned char mul_mat_vec_q6_k_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x16,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
-0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
-0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
-0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
-0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,0x05,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
-0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
-0x66,0x00,0x00,0x00,0x99,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
-0xd4,0x00,0x00,0x00,0xe5,0x01,0x00,0x00,0x10,0x00,0x06,0x00,
-0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x14,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
-0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x20,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x09,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,0x18,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x4a,0x00,0x00,0x00,
-0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x66,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xb5,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xb6,0x00,0x00,0x00,
-0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xb8,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0xba,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x80,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0xba,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xbb,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xbc,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xbc,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xbc,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xd1,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xd2,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xd2,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0xd2,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0xe2,0x01,0x00,0x00,0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0xe3,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0x19,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xe3,0x01,0x00,0x00,
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+0xa4,0x00,0x00,0x00,0x75,0x04,0x00,0x00,0x6d,0x04,0x00,0x00,
+0x74,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0xc6,0x00,0x00,0x00,
+0x7b,0x04,0x00,0x00,0xe0,0x03,0x00,0x00,0x73,0x00,0x04,0x00,
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+0x75,0x04,0x00,0x00,0x7c,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
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+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x8d,0x04,0x00,0x00,
+0xfb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0x8e,0x04,0x00,0x00,0x1e,0x03,0x00,0x00,0x8d,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0x8f,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xac,0x02,0x00,0x00,
+0x89,0x04,0x00,0x00,0x8e,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
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+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0x94,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x88,0x03,0x00,0x00,
+0x92,0x04,0x00,0x00,0x8f,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x97,0x04,0x00,0x00,0x52,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0x99,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf7,0x03,0x00,0x00,
+0x97,0x04,0x00,0x00,0x94,0x04,0x00,0x00,0x85,0x00,0x05,0x00,
+0xa4,0x00,0x00,0x00,0x9d,0x04,0x00,0x00,0xde,0x00,0x00,0x00,
+0x81,0x04,0x00,0x00,0x7f,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0xfe,0x04,0x00,0x00,0x9d,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0xa4,0x00,0x00,0x00,0x9e,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x99,0x04,0x00,0x00,
+0xfe,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0xa0,0x04,0x00,0x00,0xaf,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0xa4,0x00,0x00,0x00,0xa1,0x04,0x00,0x00,0xa0,0x04,0x00,0x00,
+0x9e,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xaf,0x00,0x00,0x00,
+0xa1,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xa4,0x04,0x00,0x00,0xfa,0x04,0x00,0x00,0x51,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xb2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xb4,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0xa5,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa7,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xa7,0x04,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0xfb,0x04,0x00,0x00,
+0xa8,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,0xbe,0x04,0x00,0x00,
+0xaa,0x04,0x00,0x00,0xac,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
+0xad,0x04,0x00,0x00,0xfb,0x04,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xa9,0x04,0x00,0x00,0xaa,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xad,0x04,0x00,0x00,
+0xa8,0x04,0x00,0x00,0xa9,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa8,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
+0xb0,0x04,0x00,0x00,0x71,0x00,0x00,0x00,0xfb,0x04,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xb2,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xb0,0x04,0x00,0x00,0xb1,0x04,0x00,0x00,
+0xb2,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xb1,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xb6,0x04,0x00,0x00,
+0x71,0x00,0x00,0x00,0xfb,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0xae,0x00,0x00,0x00,0xb7,0x04,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xb6,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0xb8,0x04,0x00,0x00,0xb7,0x04,0x00,0x00,0x41,0x00,0x05,0x00,
+0xae,0x00,0x00,0x00,0xb9,0x04,0x00,0x00,0xa7,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0xba,0x04,0x00,0x00,0xb9,0x04,0x00,0x00,0x81,0x00,0x05,0x00,
+0xa4,0x00,0x00,0x00,0xbb,0x04,0x00,0x00,0xba,0x04,0x00,0x00,
+0xb8,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xb9,0x04,0x00,0x00,
+0xbb,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb2,0x04,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0xa5,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xaa,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xaa,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xbe,0x04,0x00,0x00,0xfb,0x04,0x00,0x00,0x9a,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa7,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa9,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
+0xc0,0x04,0x00,0x00,0x71,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xc2,0x04,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xc0,0x04,0x00,0x00,0xc1,0x04,0x00,0x00,
+0xc2,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xc1,0x04,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xc9,0x04,0x00,0x00,
+0xf9,0x04,0x00,0x00,0x55,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xae,0x00,0x00,0x00,0xca,0x04,0x00,0x00,0xa7,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0xcb,0x04,0x00,0x00,0xca,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
+0xcc,0x04,0x00,0x00,0xcd,0x04,0x00,0x00,0xc6,0x04,0x00,0x00,
+0x61,0x00,0x00,0x00,0xc9,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xcd,0x04,0x00,0x00,0xcb,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xc2,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0xc2,0x04,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q6_k_f32_f32_len = 11704;
+const uint64_t mul_mat_vec_q5_k_f16_f32_len = 13436;
+
+unsigned char mul_mat_vec_q5_k_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0xdf,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xa7,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x42,0x02,0x00,0x00,0xa7,0x04,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc9,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xca,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xcb,0x00,0x00,0x00,
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+0xcc,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x30,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xcd,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xb0,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xce,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xce,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xce,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xd0,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xd0,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x3f,0x02,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0x40,0x02,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x40,0x02,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
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+0x47,0x00,0x04,0x00,0x42,0x02,0x00,0x00,0x21,0x00,0x00,0x00,
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+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
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+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
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+0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
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+0x0c,0x00,0x00,0x00,0xce,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,
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+0x20,0x00,0x04,0x00,0xd4,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
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+0x1f,0x01,0x00,0x00,0x08,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
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+0x06,0x00,0x00,0x00,0xe1,0x03,0x00,0x00,0xe0,0x03,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xe2,0x03,0x00,0x00,
+0xe1,0x03,0x00,0x00,0xab,0x00,0x05,0x00,0xb9,0x00,0x00,0x00,
+0xe3,0x03,0x00,0x00,0xe2,0x03,0x00,0x00,0x61,0x00,0x00,0x00,
+0xa9,0x00,0x06,0x00,0x1b,0x00,0x00,0x00,0xe4,0x03,0x00,0x00,
+0xe3,0x03,0x00,0x00,0x57,0x02,0x00,0x00,0x61,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xe5,0x03,0x00,0x00,
+0xd6,0x03,0x00,0x00,0xe4,0x03,0x00,0x00,0x6f,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0xe6,0x03,0x00,0x00,0xe5,0x03,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0xe8,0x03,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd3,0x03,0x00,0x00,
+0xe6,0x03,0x00,0x00,0xcd,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0xee,0x03,0x00,0x00,0x47,0x02,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0xf4,0x03,0x00,0x00,
+0x60,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0xf5,0x03,0x00,0x00,0xee,0x03,0x00,0x00,0xf4,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0xfb,0x03,0x00,0x00,
+0x7a,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0xfc,0x03,0x00,0x00,0xf5,0x03,0x00,0x00,0xfb,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x02,0x04,0x00,0x00,
+0x94,0x02,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0x03,0x04,0x00,0x00,0xfc,0x03,0x00,0x00,0x02,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x05,0x04,0x00,0x00,
+0x09,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0x0c,0x04,0x00,0x00,0xaf,0x02,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x12,0x04,0x00,0x00,0xc9,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x13,0x04,0x00,0x00,
+0x0c,0x04,0x00,0x00,0x12,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x19,0x04,0x00,0x00,0xe5,0x02,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x1a,0x04,0x00,0x00,
+0x13,0x04,0x00,0x00,0x19,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x20,0x04,0x00,0x00,0x01,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x21,0x04,0x00,0x00,
+0x1a,0x04,0x00,0x00,0x20,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x23,0x04,0x00,0x00,0x18,0x01,0x00,0x00,
+0x85,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x24,0x04,0x00,0x00,
+0x21,0x04,0x00,0x00,0x23,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,
+0xa4,0x00,0x00,0x00,0x25,0x04,0x00,0x00,0x01,0x00,0x00,0x00,
+0x32,0x00,0x00,0x00,0x03,0x04,0x00,0x00,0x05,0x04,0x00,0x00,
+0x24,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0x2a,0x04,0x00,0x00,0x1c,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x30,0x04,0x00,0x00,0x34,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x31,0x04,0x00,0x00,
+0x2a,0x04,0x00,0x00,0x30,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x37,0x04,0x00,0x00,0x4e,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x38,0x04,0x00,0x00,
+0x31,0x04,0x00,0x00,0x37,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x3e,0x04,0x00,0x00,0x68,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x3f,0x04,0x00,0x00,
+0x38,0x04,0x00,0x00,0x3e,0x04,0x00,0x00,0x70,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x41,0x04,0x00,0x00,0x6e,0x01,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0x43,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0x3f,0x04,0x00,0x00,
+0x41,0x04,0x00,0x00,0x25,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x49,0x04,0x00,0x00,0x83,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x4f,0x04,0x00,0x00,
+0x9c,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0x50,0x04,0x00,0x00,0x49,0x04,0x00,0x00,0x4f,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x56,0x04,0x00,0x00,
+0xb7,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0x57,0x04,0x00,0x00,0x50,0x04,0x00,0x00,0x56,0x04,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x5d,0x04,0x00,0x00,
+0xd2,0x03,0x00,0x00,0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,
+0x5e,0x04,0x00,0x00,0x57,0x04,0x00,0x00,0x5d,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x60,0x04,0x00,0x00,
+0x8a,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,
+0x62,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x5e,0x04,0x00,0x00,0x60,0x04,0x00,0x00,0x43,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x6a,0x04,0x00,0x00,
+0xed,0x00,0x00,0x00,0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,
+0x6e,0x04,0x00,0x00,0xfb,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0xa4,0x00,0x00,0x00,0x6f,0x04,0x00,0x00,0x17,0x03,0x00,0x00,
+0x6e,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,
+0x70,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xa9,0x02,0x00,0x00,0x6a,0x04,0x00,0x00,0x6f,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x73,0x04,0x00,0x00,
+0x36,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,
+0x75,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x7d,0x03,0x00,0x00,0x73,0x04,0x00,0x00,0x70,0x04,0x00,0x00,
+0x70,0x00,0x04,0x00,0xa4,0x00,0x00,0x00,0x78,0x04,0x00,0x00,
+0x52,0x01,0x00,0x00,0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,
+0x7a,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xe8,0x03,0x00,0x00,0x78,0x04,0x00,0x00,0x75,0x04,0x00,0x00,
+0x85,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x7e,0x04,0x00,0x00,
+0xde,0x00,0x00,0x00,0x62,0x04,0x00,0x00,0x7f,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0xde,0x04,0x00,0x00,0x7e,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0xa4,0x00,0x00,0x00,0x7f,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x7a,0x04,0x00,0x00,0xde,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x81,0x04,0x00,0x00,0xaf,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x82,0x04,0x00,0x00,
+0x81,0x04,0x00,0x00,0x7f,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xaf,0x00,0x00,0x00,0x82,0x04,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x85,0x04,0x00,0x00,0xda,0x04,0x00,0x00,
+0x51,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xb2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xb4,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0x86,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x88,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x88,0x04,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0xdb,0x04,0x00,0x00,0xa8,0x00,0x00,0x00,0xb4,0x00,0x00,0x00,
+0x9f,0x04,0x00,0x00,0x8b,0x04,0x00,0x00,0xac,0x00,0x05,0x00,
+0xb9,0x00,0x00,0x00,0x8e,0x04,0x00,0x00,0xdb,0x04,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0x8a,0x04,0x00,0x00,
+0x8b,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0x8e,0x04,0x00,0x00,0x89,0x04,0x00,0x00,0x8a,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x89,0x04,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xb9,0x00,0x00,0x00,0x91,0x04,0x00,0x00,0x71,0x00,0x00,0x00,
+0xdb,0x04,0x00,0x00,0xf7,0x00,0x03,0x00,0x93,0x04,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x91,0x04,0x00,0x00,
+0x92,0x04,0x00,0x00,0x93,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x92,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x97,0x04,0x00,0x00,0x71,0x00,0x00,0x00,0xdb,0x04,0x00,0x00,
+0x41,0x00,0x05,0x00,0xae,0x00,0x00,0x00,0x98,0x04,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x97,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x99,0x04,0x00,0x00,0x98,0x04,0x00,0x00,
+0x41,0x00,0x05,0x00,0xae,0x00,0x00,0x00,0x9a,0x04,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0x9b,0x04,0x00,0x00,0x9a,0x04,0x00,0x00,
+0x81,0x00,0x05,0x00,0xa4,0x00,0x00,0x00,0x9c,0x04,0x00,0x00,
+0x9b,0x04,0x00,0x00,0x99,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x9a,0x04,0x00,0x00,0x9c,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x93,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,0x93,0x04,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
+0x86,0x04,0x00,0x00,0xf9,0x00,0x02,0x00,0x8b,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8b,0x04,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x9f,0x04,0x00,0x00,0xdb,0x04,0x00,0x00,
+0x9a,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x88,0x04,0x00,0x00,
+0xf8,0x00,0x02,0x00,0x8a,0x04,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xb9,0x00,0x00,0x00,0xa1,0x04,0x00,0x00,0x71,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xa3,0x04,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xa1,0x04,0x00,0x00,
+0xa2,0x04,0x00,0x00,0xa3,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa2,0x04,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xaa,0x04,0x00,0x00,0xd9,0x04,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xae,0x00,0x00,0x00,0xab,0x04,0x00,0x00,
+0xa7,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xa4,0x00,0x00,0x00,0xac,0x04,0x00,0x00,0xab,0x04,0x00,0x00,
+0x41,0x00,0x06,0x00,0x46,0x02,0x00,0x00,0xad,0x04,0x00,0x00,
+0xa7,0x04,0x00,0x00,0x61,0x00,0x00,0x00,0xaa,0x04,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xad,0x04,0x00,0x00,0xac,0x04,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xa3,0x04,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xa3,0x04,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_q5_k_f32_f32_len = 12924;
+
+unsigned char mul_mat_vec_q6_k_f16_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x2d,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
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+0x0d,0x04,0x00,0x00,0x17,0x04,0x00,0x00,0x72,0x00,0x04,0x00,
+0xbe,0x00,0x00,0x00,0x19,0x04,0x00,0x00,0x18,0x04,0x00,0x00,
+0x72,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x1a,0x04,0x00,0x00,
+0x19,0x04,0x00,0x00,0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x1b,0x04,0x00,0x00,0x1a,0x04,0x00,0x00,0x14,0x01,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0x1c,0x04,0x00,0x00,
+0x1b,0x04,0x00,0x00,0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,
+0x1e,0x04,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0x04,0x04,0x00,0x00,0x1c,0x04,0x00,0x00,0xf6,0x03,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x1f,0x04,0x00,0x00,
+0x77,0x03,0x00,0x00,0x1e,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0xc9,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0xca,0x01,0x00,0x00,
+0xc9,0x01,0x00,0x00,0x1f,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xa8,0x00,0x00,0x00,0xca,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xcd,0x01,0x00,0x00,0x23,0x02,0x00,0x00,
+0x51,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xab,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xad,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0xce,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd0,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd0,0x01,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
+0x24,0x02,0x00,0x00,0xa1,0x00,0x00,0x00,0xad,0x00,0x00,0x00,
+0xe7,0x01,0x00,0x00,0xd3,0x01,0x00,0x00,0xac,0x00,0x05,0x00,
+0xb2,0x00,0x00,0x00,0xd6,0x01,0x00,0x00,0x24,0x02,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xd2,0x01,0x00,0x00,
+0xd3,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xd6,0x01,0x00,0x00,0xd1,0x01,0x00,0x00,0xd2,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd1,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,
+0xb2,0x00,0x00,0x00,0xd9,0x01,0x00,0x00,0x71,0x00,0x00,0x00,
+0x24,0x02,0x00,0x00,0xf7,0x00,0x03,0x00,0xdb,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd9,0x01,0x00,0x00,
+0xda,0x01,0x00,0x00,0xdb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xda,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xdf,0x01,0x00,0x00,0x71,0x00,0x00,0x00,0x24,0x02,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,0xe0,0x01,0x00,0x00,
+0xa0,0x00,0x00,0x00,0xdf,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0xe1,0x01,0x00,0x00,0xe0,0x01,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,0xe2,0x01,0x00,0x00,
+0xa0,0x00,0x00,0x00,0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0xe3,0x01,0x00,0x00,0xe2,0x01,0x00,0x00,
+0x81,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0xe4,0x01,0x00,0x00,
+0xe3,0x01,0x00,0x00,0xe1,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xe2,0x01,0x00,0x00,0xe4,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xdb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xdb,0x01,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,
+0xce,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd3,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd3,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xe7,0x01,0x00,0x00,0x24,0x02,0x00,0x00,
+0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd0,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd2,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xb2,0x00,0x00,0x00,0xe9,0x01,0x00,0x00,0x71,0x00,0x00,0x00,
+0x4b,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0xeb,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xe9,0x01,0x00,0x00,
+0xea,0x01,0x00,0x00,0xeb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xea,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xf2,0x01,0x00,0x00,0x22,0x02,0x00,0x00,0x55,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0xa7,0x00,0x00,0x00,0xf3,0x01,0x00,0x00,
+0xa0,0x00,0x00,0x00,0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0xf4,0x01,0x00,0x00,0xf3,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xf5,0x01,0x00,0x00,0xf6,0x01,0x00,0x00,
+0xef,0x01,0x00,0x00,0x61,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0xf6,0x01,0x00,0x00,0xf4,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xeb,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xeb,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_q6_k_f16_f32_len = 12108;
+
+unsigned char mul_mat_vec_q6_k_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
+0x1d,0x04,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x27,0x00,0x00,0x00,
+0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,0x11,0x00,0x02,0x00,
+0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,0x01,0x00,0x00,0x00,
+0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,0x2e,0x34,0x35,0x30,
+0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,0x00,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,0x05,0x00,0x00,0x00,
+0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,0x00,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,0x4a,0x00,0x00,0x00,
+0x4e,0x00,0x00,0x00,0x6e,0x00,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xc5,0x00,0x00,0x00,0xdb,0x00,0x00,0x00,0xec,0x01,0x00,0x00,
+0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x11,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x08,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x04,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x05,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x14,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x07,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0x18,0x00,0x00,0x00,0x08,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,
+0x09,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x24,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0x18,0x00,0x00,0x00,0x0a,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x28,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0x18,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0x4a,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1a,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0x4e,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,
+0x18,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x6e,0x00,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x1b,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xbc,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xbd,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xbf,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x80,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc1,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0xc0,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
+0xc1,0x00,0x00,0x00,0x03,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
+0xd0,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xc2,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xc3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xc3,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xc3,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xc5,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xc5,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xd8,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xd9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x18,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xd9,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xd9,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xdb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xdb,0x00,0x00,0x00,0x21,0x00,0x00,0x00,
+0x01,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xe9,0x01,0x00,0x00,
+0x06,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x48,0x00,0x04,0x00,
+0xea,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x19,0x00,0x00,0x00,
+0x48,0x00,0x05,0x00,0xea,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x03,0x00,
+0xea,0x01,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
+0xec,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
+0x47,0x00,0x04,0x00,0xec,0x01,0x00,0x00,0x21,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0xf3,0x01,0x00,0x00,
+0x0b,0x00,0x00,0x00,0x19,0x00,0x00,0x00,0x13,0x00,0x02,0x00,
+0x02,0x00,0x00,0x00,0x21,0x00,0x03,0x00,0x03,0x00,0x00,0x00,
+0x02,0x00,0x00,0x00,0x15,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0x20,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x17,0x00,0x04,0x00,
+0x0f,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x10,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x0f,0x00,0x00,0x00,0x3b,0x00,0x04,0x00,0x10,0x00,0x00,0x00,
+0x11,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x2b,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x12,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x20,0x00,0x04,0x00,0x13,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x1e,0x00,0x0d,0x00,0x18,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
+0x06,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x20,0x00,0x04,0x00,
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+0x9d,0x00,0x00,0x00,0xcb,0x03,0x00,0x00,0xca,0x03,0x00,0x00,
+0x85,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0xcc,0x03,0x00,0x00,
+0xc6,0x03,0x00,0x00,0xcb,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0xcd,0x03,0x00,0x00,0xcc,0x03,0x00,0x00,
+0xcd,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,
+0xd3,0x03,0x00,0x00,0x85,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,
+0xbb,0x00,0x00,0x00,0xd4,0x03,0x00,0x00,0xd3,0x03,0x00,0x00,
+0x3b,0x00,0x00,0x00,0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,
+0xd5,0x03,0x00,0x00,0xd4,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0xd6,0x03,0x00,0x00,0xd5,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0xdb,0x03,0x00,0x00,
+0x8d,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
+0xdc,0x03,0x00,0x00,0xdb,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xdd,0x03,0x00,0x00,
+0xdc,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0xde,0x03,0x00,0x00,0xdd,0x03,0x00,0x00,0xc7,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0xdf,0x03,0x00,0x00,0xde,0x03,0x00,0x00,
+0xc9,0x00,0x00,0x00,0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xe0,0x03,0x00,0x00,0xdf,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0xc5,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0xe1,0x03,0x00,0x00,
+0xd6,0x03,0x00,0x00,0xe0,0x03,0x00,0x00,0x72,0x00,0x04,0x00,
+0xbe,0x00,0x00,0x00,0xe2,0x03,0x00,0x00,0xe1,0x03,0x00,0x00,
+0x72,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0xe3,0x03,0x00,0x00,
+0xe2,0x03,0x00,0x00,0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0xe4,0x03,0x00,0x00,0xe3,0x03,0x00,0x00,0x14,0x01,0x00,0x00,
+0x6f,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,0xe5,0x03,0x00,0x00,
+0xe4,0x03,0x00,0x00,0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,
+0xe7,0x03,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xcd,0x03,0x00,0x00,0xe5,0x03,0x00,0x00,0xc0,0x03,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xeb,0x03,0x00,0x00,
+0xde,0x00,0x00,0x00,0x1c,0x04,0x00,0x00,0x41,0x00,0x06,0x00,
+0xe3,0x00,0x00,0x00,0xec,0x03,0x00,0x00,0xdb,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0xeb,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0xed,0x03,0x00,0x00,0xec,0x03,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,0xf1,0x03,0x00,0x00,
+0x94,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xf2,0x03,0x00,0x00,0xf1,0x03,0x00,0x00,0x85,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0xf3,0x03,0x00,0x00,0xed,0x03,0x00,0x00,
+0xf2,0x03,0x00,0x00,0x85,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0xf4,0x03,0x00,0x00,0xf3,0x03,0x00,0x00,0xcd,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0xbb,0x00,0x00,0x00,0xfa,0x03,0x00,0x00,
+0xab,0x03,0x00,0x00,0xc2,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,
+0xfb,0x03,0x00,0x00,0xfa,0x03,0x00,0x00,0x3b,0x00,0x00,0x00,
+0x71,0x00,0x04,0x00,0x06,0x00,0x00,0x00,0xfc,0x03,0x00,0x00,
+0xfb,0x03,0x00,0x00,0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,
+0xfd,0x03,0x00,0x00,0xfc,0x03,0x00,0x00,0x3d,0x00,0x04,0x00,
+0xbb,0x00,0x00,0x00,0x02,0x04,0x00,0x00,0x8d,0x03,0x00,0x00,
+0xc2,0x00,0x05,0x00,0xbb,0x00,0x00,0x00,0x03,0x04,0x00,0x00,
+0x02,0x04,0x00,0x00,0x45,0x00,0x00,0x00,0x71,0x00,0x04,0x00,
+0x06,0x00,0x00,0x00,0x04,0x04,0x00,0x00,0x03,0x04,0x00,0x00,
+0x7c,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x05,0x04,0x00,0x00,
+0x04,0x04,0x00,0x00,0xc7,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,
+0x06,0x04,0x00,0x00,0x05,0x04,0x00,0x00,0xc9,0x00,0x00,0x00,
+0xc4,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x07,0x04,0x00,0x00,
+0x06,0x04,0x00,0x00,0x3b,0x00,0x00,0x00,0xc5,0x00,0x05,0x00,
+0x1b,0x00,0x00,0x00,0x08,0x04,0x00,0x00,0xfd,0x03,0x00,0x00,
+0x07,0x04,0x00,0x00,0x72,0x00,0x04,0x00,0xbe,0x00,0x00,0x00,
+0x09,0x04,0x00,0x00,0x08,0x04,0x00,0x00,0x72,0x00,0x04,0x00,
+0x1b,0x00,0x00,0x00,0x0a,0x04,0x00,0x00,0x09,0x04,0x00,0x00,
+0x82,0x00,0x05,0x00,0x1b,0x00,0x00,0x00,0x0b,0x04,0x00,0x00,
+0x0a,0x04,0x00,0x00,0x14,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,
+0x9d,0x00,0x00,0x00,0x0c,0x04,0x00,0x00,0x0b,0x04,0x00,0x00,
+0x0c,0x00,0x08,0x00,0x9d,0x00,0x00,0x00,0x0e,0x04,0x00,0x00,
+0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xf4,0x03,0x00,0x00,
+0x0c,0x04,0x00,0x00,0xe7,0x03,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x0f,0x04,0x00,0x00,0x6b,0x03,0x00,0x00,
+0x0e,0x04,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xc6,0x01,0x00,0x00,0xa8,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0xc7,0x01,0x00,0x00,0xc6,0x01,0x00,0x00,
+0x0f,0x04,0x00,0x00,0x3e,0x00,0x03,0x00,0xa8,0x00,0x00,0x00,
+0xc7,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xca,0x01,0x00,0x00,0x1f,0x02,0x00,0x00,0x51,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xab,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xad,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0x51,0x00,0x00,0x00,
+0x51,0x00,0x00,0x00,0xcb,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xcd,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xcd,0x01,0x00,0x00,
+0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,0x20,0x02,0x00,0x00,
+0xa1,0x00,0x00,0x00,0xad,0x00,0x00,0x00,0xe4,0x01,0x00,0x00,
+0xd0,0x01,0x00,0x00,0xac,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0xd3,0x01,0x00,0x00,0x20,0x02,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf6,0x00,0x04,0x00,0xcf,0x01,0x00,0x00,0xd0,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xd3,0x01,0x00,0x00,
+0xce,0x01,0x00,0x00,0xcf,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xce,0x01,0x00,0x00,0xb0,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0xd6,0x01,0x00,0x00,0x71,0x00,0x00,0x00,0x20,0x02,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xd8,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xd6,0x01,0x00,0x00,0xd7,0x01,0x00,0x00,
+0xd8,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xd7,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x01,0x00,0x00,
+0x71,0x00,0x00,0x00,0x20,0x02,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0xdd,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,
+0xdc,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xde,0x01,0x00,0x00,0xdd,0x01,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0xdf,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x71,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xe0,0x01,0x00,0x00,0xdf,0x01,0x00,0x00,0x81,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0xe1,0x01,0x00,0x00,0xe0,0x01,0x00,0x00,
+0xde,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0xdf,0x01,0x00,0x00,
+0xe1,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xd8,0x01,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xd8,0x01,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x51,0x00,0x00,0x00,0x51,0x00,0x00,0x00,0xcb,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xd0,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xd0,0x01,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe4,0x01,0x00,0x00,0x20,0x02,0x00,0x00,0x05,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xcd,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xcf,0x01,0x00,0x00,0xaa,0x00,0x05,0x00,0xb2,0x00,0x00,0x00,
+0xe6,0x01,0x00,0x00,0x71,0x00,0x00,0x00,0x4b,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0xe8,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xe6,0x01,0x00,0x00,0xe7,0x01,0x00,0x00,
+0xe8,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe7,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xef,0x01,0x00,0x00,
+0x1e,0x02,0x00,0x00,0x55,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0xa7,0x00,0x00,0x00,0xf0,0x01,0x00,0x00,0xa0,0x00,0x00,0x00,
+0x61,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x9d,0x00,0x00,0x00,
+0xf1,0x01,0x00,0x00,0xf0,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0xe3,0x00,0x00,0x00,0xf2,0x01,0x00,0x00,0xec,0x01,0x00,0x00,
+0x61,0x00,0x00,0x00,0xef,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0xf2,0x01,0x00,0x00,0xf1,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xe8,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0xe8,0x01,0x00,0x00,
+0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+};
+const uint64_t mul_mat_vec_q6_k_f32_f32_len = 11852;
 
 unsigned char mul_mat_vec_q8_0_f16_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x60,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
+0x67,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
 0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
 0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
 0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
 0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
+0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0e,0x00,
 0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
 0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
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-0xfa,0x00,0x04,0x00,0xa2,0x00,0x00,0x00,0x99,0x00,0x00,0x00,
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-0x86,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xbe,0x00,0x00,0x00,
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-0xb5,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x08,0x00,
-0x2f,0x00,0x00,0x00,0x55,0x01,0x00,0x00,0x20,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0x44,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0x54,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x19,0x00,0x00,0x00,
-0x56,0x01,0x00,0x00,0x55,0x01,0x00,0x00,0x72,0x00,0x04,0x00,
-0x21,0x00,0x00,0x00,0x57,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
-0x6f,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x58,0x01,0x00,0x00,
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-0x59,0x01,0x00,0x00,0x4f,0x01,0x00,0x00,0x58,0x01,0x00,0x00,
-0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,
-0x59,0x01,0x00,0x00,0x47,0x01,0x00,0x00,0x51,0x00,0x05,0x00,
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-0x26,0x00,0x00,0x00,0xd1,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
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-0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,
-0xd2,0x00,0x00,0x00,0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xd6,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x01,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,
-0xd0,0x00,0x00,0x00,0x38,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0x26,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x18,0x00,0x00,0x00,0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
-0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x85,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,0xc7,0x00,0x00,0x00,
-0xd3,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
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-0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
-0xe3,0x00,0x00,0x00,0xe1,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x96,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0x98,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xeb,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,0x06,0x00,0x00,0x00,
-0x5f,0x01,0x00,0x00,0xea,0x00,0x00,0x00,0x9a,0x00,0x00,0x00,
-0x02,0x01,0x00,0x00,0xee,0x00,0x00,0x00,0xac,0x00,0x05,0x00,
-0xa1,0x00,0x00,0x00,0xf1,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x7e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,0xed,0x00,0x00,0x00,
-0xee,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf1,0x00,0x00,0x00,0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xec,0x00,0x00,0x00,0xb0,0x00,0x05,0x00,
-0xa1,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x5f,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,0xf6,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0xf4,0x00,0x00,0x00,
-0xf5,0x00,0x00,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf5,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0x5f,0x01,0x00,0x00,
-0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xff,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xff,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xf6,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xf6,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,
-0xa6,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xee,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xee,0x00,0x00,0x00,
-0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x02,0x01,0x00,0x00,
-0x5f,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0xeb,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xed,0x00,0x00,0x00,
-0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0x04,0x01,0x00,0x00,
-0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,
-0x06,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0x04,0x01,0x00,0x00,0x05,0x01,0x00,0x00,0x06,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x3e,0x01,0x00,0x00,
-0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x92,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x41,0x00,0x06,0x00,0x10,0x01,0x00,0x00,
-0x11,0x01,0x00,0x00,0x0a,0x01,0x00,0x00,0x22,0x00,0x00,0x00,
-0x0d,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x11,0x01,0x00,0x00,
-0x0f,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0x06,0x01,0x00,0x00,
-0xf8,0x00,0x02,0x00,0x06,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,
-0x38,0x00,0x01,0x00,
-};
-const uint64_t mul_mat_vec_q8_0_f16_f32_len = 3916;
-
-unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
-0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
-0x5e,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x11,0x00,0x02,0x00,
-0x01,0x00,0x00,0x00,0x11,0x00,0x02,0x00,0x51,0x11,0x00,0x00,
-0x11,0x00,0x02,0x00,0x60,0x11,0x00,0x00,0x0b,0x00,0x06,0x00,
-0x01,0x00,0x00,0x00,0x47,0x4c,0x53,0x4c,0x2e,0x73,0x74,0x64,
-0x2e,0x34,0x35,0x30,0x00,0x00,0x00,0x00,0x0e,0x00,0x03,0x00,
-0x00,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x0f,0x00,0x0d,0x00,
-0x05,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x6d,0x61,0x69,0x6e,
-0x00,0x00,0x00,0x00,0x20,0x00,0x00,0x00,0x46,0x00,0x00,0x00,
-0x4e,0x00,0x00,0x00,0x7d,0x00,0x00,0x00,0x82,0x00,0x00,0x00,
-0x92,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x09,0x01,0x00,0x00,
-0x10,0x00,0x06,0x00,0x04,0x00,0x00,0x00,0x11,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x1b,0x00,0x00,0x00,0x06,0x00,0x00,0x00,
-0x01,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x1c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x02,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x1d,0x00,0x00,0x00,0x06,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x48,0x00,0x04,0x00,0x1e,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x18,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x1e,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x47,0x00,0x03,0x00,0x1e,0x00,0x00,0x00,0x02,0x00,0x00,0x00,
-0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,0x20,0x00,0x00,0x00,
-0x21,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x47,0x00,0x04,0x00,
-0x46,0x00,0x00,0x00,0x0b,0x00,0x00,0x00,0x1c,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x00,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4c,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x04,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
-0x02,0x00,0x00,0x00,0x23,0x00,0x00,0x00,0x08,0x00,0x00,0x00,
-0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,0x03,0x00,0x00,0x00,
-0x23,0x00,0x00,0x00,0x0c,0x00,0x00,0x00,0x48,0x00,0x05,0x00,
-0x4c,0x00,0x00,0x00,0x04,0x00,0x00,0x00,0x23,0x00,0x00,0x00,
-0x10,0x00,0x00,0x00,0x48,0x00,0x05,0x00,0x4c,0x00,0x00,0x00,
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-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0xce,0x00,0x00,0x00,0xb5,0x00,0x00,0x00,0x41,0x00,0x06,0x00,
-0xd1,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,
-0x22,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
-0x08,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xd2,0x00,0x00,0x00,
-0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0x59,0x01,0x00,0x00,0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xdc,0x00,0x00,0x00,0xd0,0x00,0x00,0x00,
-0x38,0x00,0x00,0x00,0x41,0x00,0x06,0x00,0xd1,0x00,0x00,0x00,
-0xdd,0x00,0x00,0x00,0xcb,0x00,0x00,0x00,0x22,0x00,0x00,0x00,
-0xdc,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,0xd6,0x00,0x00,0x00,
-0xde,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
-0xe0,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
-0xc7,0x00,0x00,0x00,0xd3,0x00,0x00,0x00,0xdf,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,
-0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
-0xe3,0x00,0x00,0x00,0xe2,0x00,0x00,0x00,0xe0,0x00,0x00,0x00,
-0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xe6,0x00,0x00,0x00,
-0x5c,0x01,0x00,0x00,0xa6,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x98,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0x9a,0x00,0x00,0x00,
-0xe0,0x00,0x04,0x00,0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,
-0xe7,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
-0x06,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0xe9,0x00,0x00,0x00,
-0x9a,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0xed,0x00,0x00,0x00,
-0xac,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0xf0,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x7e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
-0xec,0x00,0x00,0x00,0xed,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0xf0,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
-0xec,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xeb,0x00,0x00,0x00,
-0xb0,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
-0x84,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
-0xf5,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
-0xf3,0x00,0x00,0x00,0xf4,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
-0x06,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
-0x5d,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x95,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x92,0x00,0x00,0x00,0xf9,0x00,0x00,0x00,
-0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
-0xfa,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0xfd,0x00,0x00,0x00,0x96,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
-0x08,0x00,0x00,0x00,0xfe,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
-0xfb,0x00,0x00,0x00,0x3e,0x00,0x03,0x00,0x96,0x00,0x00,0x00,
-0xfe,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,
-0xf8,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
-0xa6,0x00,0x00,0x00,0xa6,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xed,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xed,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
-0x01,0x01,0x00,0x00,0x5d,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
-0xf9,0x00,0x02,0x00,0xea,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
-0xec,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xa1,0x00,0x00,0x00,
-0x03,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
-0xf7,0x00,0x03,0x00,0x05,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
-0xfa,0x00,0x04,0x00,0x03,0x01,0x00,0x00,0x04,0x01,0x00,0x00,
-0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x04,0x01,0x00,0x00,
-0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,
-0x3c,0x01,0x00,0x00,0x80,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
-0x95,0x00,0x00,0x00,0x0d,0x01,0x00,0x00,0x92,0x00,0x00,0x00,
+0x55,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x5b,0x01,0x00,0x00,0xbc,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x41,0x00,0x08,0x00,0x2f,0x00,0x00,0x00,0x5c,0x01,0x00,0x00,
+0x20,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x4b,0x01,0x00,0x00,
+0x2d,0x00,0x00,0x00,0x5b,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x19,0x00,0x00,0x00,0x5d,0x01,0x00,0x00,0x5c,0x01,0x00,0x00,
+0x72,0x00,0x04,0x00,0x21,0x00,0x00,0x00,0x5e,0x01,0x00,0x00,
+0x5d,0x01,0x00,0x00,0x6f,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x5e,0x01,0x00,0x00,0x50,0x00,0x05,0x00,
+0x09,0x00,0x00,0x00,0x60,0x01,0x00,0x00,0x56,0x01,0x00,0x00,
+0x5f,0x01,0x00,0x00,0x8e,0x00,0x05,0x00,0x09,0x00,0x00,0x00,
+0x62,0x01,0x00,0x00,0x60,0x01,0x00,0x00,0x4e,0x01,0x00,0x00,
+0x51,0x00,0x05,0x00,0x08,0x00,0x00,0x00,0xce,0x00,0x00,0x00,
+0x62,0x01,0x00,0x00,0x00,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0x41,0x01,0x00,0x00,
+0xc1,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xd7,0x00,0x00,0x00,0xd5,0x00,0x00,0x00,0xbc,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0xd8,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,
+0xd8,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xda,0x00,0x00,0x00,0xd9,0x00,0x00,0x00,0x51,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,0x62,0x01,0x00,0x00,
+0x01,0x00,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0xe3,0x00,0x00,0x00,0xd7,0x00,0x00,0x00,0x38,0x00,0x00,0x00,
+0x41,0x00,0x06,0x00,0x26,0x00,0x00,0x00,0xe4,0x00,0x00,0x00,
+0xd2,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0xe3,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x18,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,
+0xe4,0x00,0x00,0x00,0x73,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0xe5,0x00,0x00,0x00,0x85,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,0xdd,0x00,0x00,0x00,
+0xe6,0x00,0x00,0x00,0x0c,0x00,0x08,0x00,0x08,0x00,0x00,0x00,
+0xe8,0x00,0x00,0x00,0x01,0x00,0x00,0x00,0x32,0x00,0x00,0x00,
+0xce,0x00,0x00,0x00,0xda,0x00,0x00,0x00,0xe7,0x00,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0xea,0x00,0x00,0x00,
+0x9e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,0x08,0x00,0x00,0x00,
+0xeb,0x00,0x00,0x00,0xea,0x00,0x00,0x00,0xe8,0x00,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x9e,0x00,0x00,0x00,0xeb,0x00,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0xee,0x00,0x00,0x00,
+0x65,0x01,0x00,0x00,0x84,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xa0,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xa2,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x84,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0xef,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,0xf5,0x00,0x07,0x00,
+0x06,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0xf1,0x00,0x00,0x00,
+0xa2,0x00,0x00,0x00,0x09,0x01,0x00,0x00,0xf5,0x00,0x00,0x00,
+0xac,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0xf8,0x00,0x00,0x00,
+0x66,0x01,0x00,0x00,0x7e,0x00,0x00,0x00,0xf6,0x00,0x04,0x00,
+0xf4,0x00,0x00,0x00,0xf5,0x00,0x00,0x00,0x01,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0xf8,0x00,0x00,0x00,0xf3,0x00,0x00,0x00,
+0xf4,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,
+0xb0,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,0xfb,0x00,0x00,0x00,
+0x8c,0x00,0x00,0x00,0x66,0x01,0x00,0x00,0xf7,0x00,0x03,0x00,
+0xfd,0x00,0x00,0x00,0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,
+0xfb,0x00,0x00,0x00,0xfc,0x00,0x00,0x00,0xfd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,0x80,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x01,0x01,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x66,0x01,0x00,0x00,0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,
+0x02,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,0x01,0x01,0x00,0x00,
+0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,0x03,0x01,0x00,0x00,
+0x02,0x01,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
+0x05,0x01,0x00,0x00,0x9e,0x00,0x00,0x00,0x81,0x00,0x05,0x00,
+0x08,0x00,0x00,0x00,0x06,0x01,0x00,0x00,0x05,0x01,0x00,0x00,
+0x03,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,0x9e,0x00,0x00,0x00,
+0x06,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xfd,0x00,0x00,0x00,0xe0,0x00,0x04,0x00,
+0x84,0x00,0x00,0x00,0x84,0x00,0x00,0x00,0xef,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf5,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf5,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x09,0x01,0x00,0x00,0x66,0x01,0x00,0x00,0x2d,0x00,0x00,0x00,
+0xf9,0x00,0x02,0x00,0xf2,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,
+0xf4,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,0xa9,0x00,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x8c,0x00,0x00,0x00,0x7e,0x00,0x00,0x00,
+0xf7,0x00,0x03,0x00,0x0d,0x01,0x00,0x00,0x00,0x00,0x00,0x00,
+0xfa,0x00,0x04,0x00,0x0b,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,
+0x0d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0c,0x01,0x00,0x00,
+0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x45,0x01,0x00,0x00,0x88,0x00,0x00,0x00,0x41,0x00,0x05,0x00,
+0x9d,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x9a,0x00,0x00,0x00,
 0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,0x08,0x00,0x00,0x00,
-0x0e,0x01,0x00,0x00,0x0d,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
-0xd1,0x00,0x00,0x00,0x0f,0x01,0x00,0x00,0x09,0x01,0x00,0x00,
-0x22,0x00,0x00,0x00,0x0c,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
-0x0f,0x01,0x00,0x00,0x0e,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
-0x05,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x05,0x01,0x00,0x00,
+0x16,0x01,0x00,0x00,0x15,0x01,0x00,0x00,0x41,0x00,0x06,0x00,
+0x17,0x01,0x00,0x00,0x18,0x01,0x00,0x00,0x11,0x01,0x00,0x00,
+0x22,0x00,0x00,0x00,0x14,0x01,0x00,0x00,0x3e,0x00,0x03,0x00,
+0x18,0x01,0x00,0x00,0x16,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0x0d,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,0x0d,0x01,0x00,0x00,
 0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
 };
-const uint64_t mul_mat_vec_q8_0_f32_f32_len = 3884;
+const uint64_t mul_mat_vec_q8_0_f16_f32_len = 4064;
+
+unsigned char mul_mat_vec_q8_0_f32_f32_data[] = {
+0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
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+0x9e,0x00,0x00,0x00,0x05,0x01,0x00,0x00,0xf9,0x00,0x02,0x00,
+0xfc,0x00,0x00,0x00,0xf8,0x00,0x02,0x00,0xfc,0x00,0x00,0x00,
+0xe0,0x00,0x04,0x00,0x84,0x00,0x00,0x00,0x84,0x00,0x00,0x00,
+0xee,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf4,0x00,0x00,0x00,0xc2,0x00,0x05,0x00,
+0x06,0x00,0x00,0x00,0x08,0x01,0x00,0x00,0x64,0x01,0x00,0x00,
+0x2d,0x00,0x00,0x00,0xf9,0x00,0x02,0x00,0xf1,0x00,0x00,0x00,
+0xf8,0x00,0x02,0x00,0xf3,0x00,0x00,0x00,0xaa,0x00,0x05,0x00,
+0xa9,0x00,0x00,0x00,0x0a,0x01,0x00,0x00,0x8c,0x00,0x00,0x00,
+0x7e,0x00,0x00,0x00,0xf7,0x00,0x03,0x00,0x0c,0x01,0x00,0x00,
+0x00,0x00,0x00,0x00,0xfa,0x00,0x04,0x00,0x0a,0x01,0x00,0x00,
+0x0b,0x01,0x00,0x00,0x0c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0b,0x01,0x00,0x00,0x80,0x00,0x05,0x00,0x06,0x00,0x00,0x00,
+0x13,0x01,0x00,0x00,0x43,0x01,0x00,0x00,0x88,0x00,0x00,0x00,
+0x41,0x00,0x05,0x00,0x9d,0x00,0x00,0x00,0x14,0x01,0x00,0x00,
+0x9a,0x00,0x00,0x00,0x22,0x00,0x00,0x00,0x3d,0x00,0x04,0x00,
+0x08,0x00,0x00,0x00,0x15,0x01,0x00,0x00,0x14,0x01,0x00,0x00,
+0x41,0x00,0x06,0x00,0xd8,0x00,0x00,0x00,0x16,0x01,0x00,0x00,
+0x10,0x01,0x00,0x00,0x22,0x00,0x00,0x00,0x13,0x01,0x00,0x00,
+0x3e,0x00,0x03,0x00,0x16,0x01,0x00,0x00,0x15,0x01,0x00,0x00,
+0xf9,0x00,0x02,0x00,0x0c,0x01,0x00,0x00,0xf8,0x00,0x02,0x00,
+0x0c,0x01,0x00,0x00,0xfd,0x00,0x01,0x00,0x38,0x00,0x01,0x00,
+
+};
+const uint64_t mul_mat_vec_q8_0_f32_f32_len = 4032;
 
 unsigned char norm_f32_data[] = {
 0x03,0x02,0x23,0x07,0x00,0x05,0x01,0x00,0x0b,0x00,0x0d,0x00,
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index 87af33b56..c31877403 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -17,6 +17,8 @@
 #include <memory>
 #include <limits>
 #include <map>
+#include <memory>
+#include <mutex>
 
 #include "ggml.h"
 #include "ggml-backend-impl.h"
@@ -103,7 +105,41 @@ struct vk_matmul_pipeline_struct {
 
 typedef std::shared_ptr<vk_matmul_pipeline_struct> vk_matmul_pipeline;
 
-struct vk_device {
+struct vk_device_struct;
+typedef std::shared_ptr<vk_device_struct> vk_device;
+typedef std::weak_ptr<vk_device_struct> vk_device_ref;
+
+struct vk_buffer_struct;
+typedef std::shared_ptr<vk_buffer_struct> vk_buffer;
+typedef std::weak_ptr<vk_buffer_struct> vk_buffer_ref;
+
+struct ggml_backend_vk_buffer_type_context {
+    std::string name;
+    vk_device device;
+};
+
+GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buffer_type_t buft);
+GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size);
+GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type_t buft);
+GGML_CALL static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft);
+GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor);
+static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = {
+    /* .get_name         = */ ggml_backend_vk_buffer_type_name,
+    /* .alloc_buffer     = */ ggml_backend_vk_buffer_type_alloc_buffer,
+    /* .get_alignment    = */ ggml_backend_vk_buffer_type_get_alignment,
+    /* .get_max_size     = */ ggml_backend_vk_buffer_type_get_max_size,
+    /* .get_alloc_size   = */ ggml_backend_vk_buffer_type_get_alloc_size,
+    /* .is_host          = */ NULL,
+};
+
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+class vk_memory_logger;
+#endif
+static void ggml_vk_destroy_buffer(vk_buffer& buf);
+
+struct vk_device_struct {
+    std::mutex mutex;
+
     vk::PhysicalDevice physical_device;
     vk::PhysicalDeviceProperties properties;
     std::string name;
@@ -118,7 +154,6 @@ struct vk_device {
     uint32_t subgroup_size;
     bool uma;
 
-    bool initialized;
     size_t idx;
 
     vk_matmul_pipeline pipeline_matmul_f32;
@@ -165,8 +200,24 @@ struct vk_device {
 
     std::vector<vk_pipeline_ref> pipelines;
 
-    ~vk_device() {
+    std::vector<std::tuple<void*, size_t, vk_buffer>> pinned_memory;
+
+    vk::Fence fence;
+    vk_buffer sync_staging;
+
+    ggml_backend_buffer_type buffer_type;
+
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+    std::unique_ptr<vk_memory_logger> memory_logger;
+#endif
+
+    ~vk_device_struct() {
         VK_LOG_DEBUG("destroy device " << name);
+
+        device.destroyFence(fence);
+
+        ggml_vk_destroy_buffer(sync_staging);
+
         device.destroyCommandPool(compute_queue.pool);
         if (!single_queue) {
             device.destroyCommandPool(transfer_queue.pool);
@@ -193,9 +244,7 @@ struct vk_buffer_struct {
     void * ptr;
     size_t size = 0;
 
-    ggml_backend_vk_context * ctx;
-
-    std::shared_ptr<vk_device> device;
+    vk_device device;
 
     ~vk_buffer_struct() {
         if (size == 0) {
@@ -208,9 +257,6 @@ struct vk_buffer_struct {
     }
 };
 
-typedef std::shared_ptr<vk_buffer_struct> vk_buffer;
-typedef std::weak_ptr<vk_buffer_struct> vk_buffer_ref;
-
 struct vk_subbuffer {
     vk_buffer buffer;
     uint64_t offset;
@@ -359,8 +405,6 @@ struct ggml_vk_garbage_collector {
 };
 
 #if defined(GGML_VULKAN_MEMORY_DEBUG) || defined(GGML_VULKAN_DEBUG)
-#include <mutex>
-
 #define VK_LOG_MEMORY(msg) std::cerr << "ggml_vulkan memory: " << msg << std::endl
 
 static std::string format_size(size_t size) {
@@ -404,31 +448,21 @@ private:
 struct ggml_backend_vk_context {
     std::string name;
 
-    std::shared_ptr<vk_device> device;
+    vk_device device;
 
     size_t semaphore_idx, event_idx;
     ggml_vk_garbage_collector gc;
-    std::vector<std::tuple<void*, size_t, vk_buffer>> pinned_memory;
     size_t prealloc_size_x, prealloc_size_y, prealloc_size_split_k;
     vk_buffer prealloc_x, prealloc_y, prealloc_split_k;
     vk::Fence fence;
     vk_buffer staging;
     size_t staging_size;
     size_t staging_offset;
-    vk_buffer sync_staging;
 
     vk_buffer buffer_pool[MAX_VK_BUFFERS];
 
     vk_context * compute_ctx;
     vk_context * transfer_ctx;
-
-    bool initialized;
-
-    size_t idx;
-
-#ifdef GGML_VULKAN_MEMORY_DEBUG
-    vk_memory_logger memory_logger;
-#endif
 };
 
 #ifdef GGML_VULKAN_MEMORY_DEBUG
@@ -440,7 +474,7 @@ void vk_memory_logger::log_allocation(vk_buffer_ref buf_ref, size_t size) {
     allocations[buf->buffer] = size;
     total_device += device ? size : 0;
     total_host += device ? 0 : size;
-    VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
+    VK_LOG_MEMORY(buf->device->name << ": +" << format_size(size) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
 }
 
 void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) {
@@ -456,10 +490,10 @@ void vk_memory_logger::log_deallocation(vk_buffer_ref buf_ref) {
     total_device -= device ? it->second : 0;
     total_host -= device ? 0 : it->second;
     if (it != allocations.end()) {
-        VK_LOG_MEMORY("VULKAN" << buf->ctx->idx << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
+        VK_LOG_MEMORY(buf->device->name << ": -" << format_size(it->second) << " " << type << " at " << buf->buffer << ". Total device: " << format_size(total_device) << ", total host: " << format_size(total_host));
         allocations.erase(it);
     } else {
-        VK_LOG_MEMORY("ERROR VULKAN" << buf->ctx->idx << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer);
+        VK_LOG_MEMORY("ERROR " << buf->device->name << ": Attempted to deallocate unknown " << type << " memory at " << buf->buffer);
     }
 }
 #endif // GGML_VULKAN_MEMORY_DEBUG
@@ -468,27 +502,11 @@ struct vk_instance_t {
     vk::Instance instance;
 
     std::vector<size_t> device_indices;
-
-    ggml_backend_t backends[GGML_VK_MAX_DEVICES];
-    ggml_backend_vk_context contexts[GGML_VK_MAX_DEVICES];
-    ggml_backend_buffer_type buffer_types[GGML_VK_MAX_DEVICES];
-    bool initialized[GGML_VK_MAX_DEVICES];
+    vk_device devices[GGML_VK_MAX_DEVICES];
 };
 
-static std::shared_ptr<vk_device> ggml_vk_get_device(size_t idx) {
-    VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")");
-    static std::weak_ptr<vk_device> devices[GGML_VK_MAX_DEVICES];
-
-    if (devices[idx].expired()) {
-        VK_LOG_DEBUG("Initializing new vk_device");
-        std::shared_ptr<vk_device> device = std::make_shared<vk_device>();
-        device->initialized = false;
-        devices[idx] = device;
-        return device;
-    }
-
-    return devices[idx].lock();
-}
+static bool vk_instance_initialized = false;
+static vk_instance_t vk_instance;
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
 static size_t vk_skip_checks;
@@ -501,16 +519,15 @@ static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_
 
 typedef void (*ggml_vk_func_t)(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
 
-static bool vk_instance_initialized = false;
-static vk_instance_t vk_instance;
-
 GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend);
 
-static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array<uint32_t, 3> wg_denoms, std::vector<uint32_t>&& specialization_constants, uint32_t align) {
-    VK_LOG_DEBUG("ggml_vk_create_pipeline(" << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")");
+static void ggml_vk_create_pipeline(vk_device& device, vk_pipeline& pipeline, const std::string& name, size_t spv_size, const void* spv_data, const std::string& entrypoint, uint32_t parameter_count, uint32_t push_constant_size, std::array<uint32_t, 3> wg_denoms, std::vector<uint32_t>&& specialization_constants, uint32_t align) {
+    VK_LOG_DEBUG("ggml_vk_create_pipeline(" << device->name << ", " << name << ", " << entrypoint << ", " << parameter_count << ", " << push_constant_size << ", (" << wg_denoms[0] << "," << wg_denoms[1] << "," << wg_denoms[2] << "), specialization_constants, " << align << ")");
     GGML_ASSERT(parameter_count > 0);
     GGML_ASSERT(wg_denoms[0] > 0 && wg_denoms[1] > 0 && wg_denoms[2] > 0); // NOLINT
 
+    std::lock_guard<std::mutex> guard(device->mutex);
+
     pipeline = std::make_shared<vk_pipeline_struct>();
     pipeline->name = name;
     pipeline->parameter_count = parameter_count;
@@ -519,7 +536,7 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline&
     pipeline->align = align;
 
     vk::ShaderModuleCreateInfo shader_module_create_info({}, spv_size, reinterpret_cast<const uint32_t *>(spv_data));
-    pipeline->shader_module = ctx->device->device.createShaderModule(shader_module_create_info);
+    pipeline->shader_module = device->device.createShaderModule(shader_module_create_info);
 
     std::vector<vk::DescriptorSetLayoutBinding> dsl_binding;
     std::vector<vk::DescriptorBindingFlags> dsl_binding_flags;
@@ -540,17 +557,17 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline&
         {},
         dsl_binding);
     descriptor_set_layout_create_info.setPNext(&dslbfci);
-    pipeline->dsl = ctx->device->device.createDescriptorSetLayout(descriptor_set_layout_create_info);
+    pipeline->dsl = device->device.createDescriptorSetLayout(descriptor_set_layout_create_info);
 
     // Check if device supports multiple descriptors per pool
-    if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN) {
+    if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN) {
         const uint32_t alloc_count = 2;
 
         // Try allocating multiple sets from one pool
         // This fails on AMD for some reason, so add a fall back to allocating one pool per set
         vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count);
         vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, alloc_count, descriptor_pool_size);
-        vk::DescriptorPool pool = ctx->device->device.createDescriptorPool(descriptor_pool_create_info);
+        vk::DescriptorPool pool = device->device.createDescriptorPool(descriptor_pool_create_info);
 
         std::vector<vk::DescriptorSetLayout> layouts(alloc_count);
         for (uint32_t i = 0; i < alloc_count; i++) {
@@ -558,24 +575,24 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline&
         }
         try {
             vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pool, alloc_count, layouts.data());
-            std::vector<vk::DescriptorSet> sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info);
+            std::vector<vk::DescriptorSet> sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info);
         } catch(vk::OutOfPoolMemoryError const&) {
-            ctx->device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE;
+            device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_SINGLE;
         }
 
-        ctx->device->device.destroyDescriptorPool(pool);
+        device->device.destroyDescriptorPool(pool);
     }
 
-    if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) {
+    if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) {
         vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count);
         vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 128, descriptor_pool_size);
-        pipeline->descriptor_pools.push_back(ctx->device->device.createDescriptorPool(descriptor_pool_create_info));
+        pipeline->descriptor_pools.push_back(device->device.createDescriptorPool(descriptor_pool_create_info));
     }
 
     pipeline->descriptor_set_idx = 0;
 
     vk::PipelineLayoutCreateInfo pipeline_layout_create_info(vk::PipelineLayoutCreateFlags(), pipeline->dsl, pcr);
-    pipeline->layout = ctx->device->device.createPipelineLayout(pipeline_layout_create_info);
+    pipeline->layout = device->device.createPipelineLayout(pipeline_layout_create_info);
 
     std::vector<vk::SpecializationMapEntry> specialization_entries(specialization_constants.size());
 
@@ -602,9 +619,9 @@ static void ggml_vk_create_pipeline(ggml_backend_vk_context * ctx, vk_pipeline&
         vk::PipelineCreateFlags(),
         pipeline_shader_create_info,
         pipeline->layout);
-    pipeline->pipeline = ctx->device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value;
+    pipeline->pipeline = device->device.createComputePipeline(VK_NULL_HANDLE, compute_pipeline_create_info).value;
 
-    ctx->device->pipelines.push_back(pipeline);
+    device->pipelines.push_back(pipeline);
 }
 
 static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline) {
@@ -625,14 +642,16 @@ static void ggml_vk_destroy_pipeline(vk::Device& device, vk_pipeline& pipeline)
     device.destroyPipeline(pipeline->pipeline);
 }
 
-static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx, vk_pipeline& pipeline, uint32_t n) {
+static void ggml_pipeline_allocate_descriptor_sets(vk_device& device, vk_pipeline& pipeline, uint32_t n) {
     VK_LOG_DEBUG("ggml_pipeline_allocate_descriptor_sets(" << pipeline->name << ", " << n << ")");
     if (pipeline->descriptor_sets.size() >= pipeline->descriptor_set_idx + n) {
         // Enough descriptors are available
         return;
     }
 
-    if (ctx->device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) {
+    std::lock_guard<std::mutex> guard(device->mutex);
+
+    if (device->descriptor_set_mode == VK_DEVICE_DESCRIPTOR_POOL_MODE_MULTI) {
         const uint32_t alloc_count = pipeline->descriptor_set_idx + n - pipeline->descriptor_sets.size();
 
         std::vector<vk::DescriptorSetLayout> layouts(alloc_count);
@@ -640,16 +659,16 @@ static void ggml_pipeline_allocate_descriptor_sets(ggml_backend_vk_context * ctx
             layouts[i] = pipeline->dsl;
         }
         vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline->descriptor_pools[0], alloc_count, layouts.data());
-        std::vector<vk::DescriptorSet> sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info);
+        std::vector<vk::DescriptorSet> sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info);
         pipeline->descriptor_sets.insert(pipeline->descriptor_sets.end(), sets.begin(), sets.end());
     } else {
         for (uint32_t i = pipeline->descriptor_sets.size(); i < pipeline->descriptor_set_idx + n; i++) {
             vk::DescriptorPoolSize descriptor_pool_size(vk::DescriptorType::eStorageBuffer, pipeline->parameter_count);
             vk::DescriptorPoolCreateInfo descriptor_pool_create_info({}, 1, descriptor_pool_size);
-            pipeline->descriptor_pools.push_back(ctx->device->device.createDescriptorPool(descriptor_pool_create_info));
+            pipeline->descriptor_pools.push_back(device->device.createDescriptorPool(descriptor_pool_create_info));
 
             vk::DescriptorSetAllocateInfo descriptor_set_alloc_info(pipeline->descriptor_pools[i], 1, &pipeline->dsl);
-            std::vector<vk::DescriptorSet> sets = ctx->device->device.allocateDescriptorSets(descriptor_set_alloc_info);
+            std::vector<vk::DescriptorSet> sets = device->device.allocateDescriptorSets(descriptor_set_alloc_info);
             pipeline->descriptor_sets.push_back(sets[0]);
         }
     }
@@ -660,8 +679,10 @@ static void ggml_pipeline_cleanup(vk_pipeline& pipeline) {
     pipeline->descriptor_set_idx = 0;
 }
 
-static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx, vk_queue& q) {
+static vk::CommandBuffer ggml_vk_create_cmd_buffer(vk_device& device, vk_queue& q) {
     VK_LOG_DEBUG("ggml_vk_create_cmd_buffer()");
+    std::lock_guard<std::mutex> guard(device->mutex);
+
     if (q.cmd_buffers.size() > q.cmd_buffer_idx) {
         // Reuse command buffer
         return q.cmd_buffers[q.cmd_buffer_idx++];
@@ -671,7 +692,7 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx
         q.pool,
         vk::CommandBufferLevel::ePrimary,
         1);
-    const std::vector<vk::CommandBuffer> cmd_buffers = ctx->device->device.allocateCommandBuffers(command_buffer_alloc_info);
+    const std::vector<vk::CommandBuffer> cmd_buffers = device->device.allocateCommandBuffers(command_buffer_alloc_info);
     auto buf = cmd_buffers.front();
 
     q.cmd_buffers.push_back(buf);
@@ -680,10 +701,10 @@ static vk::CommandBuffer ggml_vk_create_cmd_buffer(ggml_backend_vk_context * ctx
     return buf;
 }
 
-static vk_submission ggml_vk_create_submission(ggml_backend_vk_context * ctx, vk_queue& q, std::vector<vk_semaphore> wait_semaphores, std::vector<vk_semaphore> signal_semaphores) {
+static vk_submission ggml_vk_create_submission(vk_device& device, vk_queue& q, std::vector<vk_semaphore> wait_semaphores, std::vector<vk_semaphore> signal_semaphores) {
     VK_LOG_DEBUG("ggml_vk_create_submission()");
     vk_submission s;
-    s.buffer = ggml_vk_create_cmd_buffer(ctx, q);
+    s.buffer = ggml_vk_create_cmd_buffer(device, q);
     s.wait_semaphores = std::move(wait_semaphores);
     s.signal_semaphores = std::move(signal_semaphores);
     return s;
@@ -809,16 +830,18 @@ static uint32_t ggml_vk_find_queue_family_index(std::vector<vk::QueueFamilyPrope
     abort();
 }
 
-static void ggml_vk_create_queue(ggml_backend_vk_context * ctx, vk_queue& q, uint32_t queue_family_index, uint32_t queue_index, vk::PipelineStageFlags&& stage_flags) {
+static void ggml_vk_create_queue(vk_device& device, vk_queue& q, uint32_t queue_family_index, uint32_t queue_index, vk::PipelineStageFlags&& stage_flags) {
     VK_LOG_DEBUG("ggml_vk_create_queue()");
+    std::lock_guard<std::mutex> guard(device->mutex);
+
     q.queue_family_index = queue_family_index;
 
     vk::CommandPoolCreateInfo command_pool_create_info_compute(vk::CommandPoolCreateFlags(VK_COMMAND_POOL_CREATE_TRANSIENT_BIT), queue_family_index);
-    q.pool = ctx->device->device.createCommandPool(command_pool_create_info_compute);
+    q.pool = device->device.createCommandPool(command_pool_create_info_compute);
 
     q.cmd_buffer_idx = 0;
 
-    q.queue = ctx->device->device.getQueue(queue_family_index, queue_index);
+    q.queue = device->device.getQueue(queue_family_index, queue_index);
 
     q.stage_flags = stage_flags;
 }
@@ -833,6 +856,15 @@ static vk_context * ggml_vk_create_context(ggml_backend_vk_context * ctx, vk_que
     return result;
 }
 
+static vk_context * ggml_vk_create_temporary_context(vk_queue& q) {
+    VK_LOG_DEBUG("ggml_vk_create_temporary_context()");
+    vk_context * result = new vk_context;
+    memset((void *) result, 0, sizeof(vk_context));
+    result->idx = 0;
+    result->q = &q;
+    return result;
+}
+
 static vk_semaphore * ggml_vk_create_binary_semaphore(ggml_backend_vk_context * ctx) {
     VK_LOG_DEBUG("ggml_vk_create_timeline_semaphore()");
     vk::SemaphoreTypeCreateInfo tci{ vk::SemaphoreType::eBinary, 0 };
@@ -862,11 +894,12 @@ static vk::Event ggml_vk_create_event(ggml_backend_vk_context * ctx) {
     return ctx->gc.events[ctx->event_idx++];
 }
 
-static void ggml_vk_queue_cleanup(ggml_backend_vk_context * ctx, vk_queue& q) {
+static void ggml_vk_queue_cleanup(vk_device& device, vk_queue& q) {
     VK_LOG_DEBUG("ggml_vk_queue_cleanup()");
-    // Requires command buffers to be done
+    std::lock_guard<std::mutex> guard(device->mutex);
 
-    ctx->device->device.resetCommandPool(q.pool);
+    // Requires command buffers to be done
+    device->device.resetCommandPool(q.pool);
     q.cmd_buffer_idx = 0;
 }
 
@@ -882,8 +915,10 @@ static uint32_t find_properties(const vk::PhysicalDeviceMemoryProperties* mem_pr
     return UINT32_MAX;
 }
 
-static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) {
-    VK_LOG_DEBUG("ggml_vk_create_buffer(device " << ctx->idx << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")");
+static vk_buffer ggml_vk_create_buffer(vk_device& device, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) {
+    VK_LOG_DEBUG("ggml_vk_create_buffer(" << device->name << ", " << size << ", " << to_string(req_flags) << ", " << to_string(fallback_flags) << ")");
+    std::lock_guard<std::mutex> guard(device->mutex);
+
     vk_buffer buf = std::make_shared<vk_buffer_struct>();
 
     if (size == 0) {
@@ -901,11 +936,11 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz
         nullptr,
     };
 
-    buf->buffer = ctx->device->device.createBuffer(buffer_create_info);
+    buf->buffer = device->device.createBuffer(buffer_create_info);
 
-    vk::MemoryRequirements mem_req = ctx->device->device.getBufferMemoryRequirements(buf->buffer);
+    vk::MemoryRequirements mem_req = device->device.getBufferMemoryRequirements(buf->buffer);
 
-    vk::PhysicalDeviceMemoryProperties mem_props = ctx->device->physical_device.getMemoryProperties();
+    vk::PhysicalDeviceMemoryProperties mem_props = device->physical_device.getMemoryProperties();
 
     uint32_t memory_type_index = UINT32_MAX;
 
@@ -918,41 +953,39 @@ static vk_buffer ggml_vk_create_buffer(ggml_backend_vk_context * ctx, size_t siz
     }
 
     if (memory_type_index == UINT32_MAX) {
-        ctx->device->device.destroyBuffer(buf->buffer);
+        device->device.destroyBuffer(buf->buffer);
         buf->size = 0;
         throw vk::OutOfDeviceMemoryError("No suitable memory type found");
     }
 
     try {
-        buf->device_memory = ctx->device->device.allocateMemory({ mem_req.size, memory_type_index });
+        buf->device_memory = device->device.allocateMemory({ mem_req.size, memory_type_index });
     } catch (const vk::SystemError& e) {
         // Out of Host/Device memory, clean up buffer
-        ctx->device->device.destroyBuffer(buf->buffer);
+        device->device.destroyBuffer(buf->buffer);
         buf->size = 0;
         throw e;
     }
     buf->ptr = nullptr;
 
     if (buf->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
-        buf->ptr = ctx->device->device.mapMemory(buf->device_memory, 0, VK_WHOLE_SIZE);
+        buf->ptr = device->device.mapMemory(buf->device_memory, 0, VK_WHOLE_SIZE);
     }
 
-    ctx->device->device.bindBufferMemory(buf->buffer, buf->device_memory, 0);
+    device->device.bindBufferMemory(buf->buffer, buf->device_memory, 0);
 
-    buf->ctx = ctx;
-
-    buf->device = ctx->device;
+    buf->device = device;
 
 #ifdef GGML_VULKAN_MEMORY_DEBUG
-    ctx->memory_logger.log_allocation(buf, size);
+    device->memory_logger->log_allocation(buf, size);
 #endif
 
     return buf;
 }
 
-static vk_buffer ggml_vk_create_buffer_check(ggml_backend_vk_context * ctx, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) {
+static vk_buffer ggml_vk_create_buffer_check(vk_device& device, size_t size, vk::MemoryPropertyFlags req_flags, vk::MemoryPropertyFlags fallback_flags = vk::MemoryPropertyFlags(0)) {
     try {
-        return ggml_vk_create_buffer(ctx, size, req_flags, fallback_flags);
+        return ggml_vk_create_buffer(device, size, req_flags, fallback_flags);
     } catch (const vk::SystemError& e) {
         std::cerr << "ggml_vulkan: Memory allocation of size " << size << " failed." << std::endl;
         std::cerr << "ggml_vulkan: " << e.what() << std::endl;
@@ -960,14 +993,14 @@ static vk_buffer ggml_vk_create_buffer_check(ggml_backend_vk_context * ctx, size
     }
 }
 
-static vk_buffer ggml_vk_create_buffer_device(ggml_backend_vk_context * ctx, size_t size) {
+static vk_buffer ggml_vk_create_buffer_device(vk_device& device, size_t size) {
     vk_buffer buf;
     try {
-        if (ctx->device->uma) {
+        if (device->uma) {
             // Fall back to host memory type
-            buf = ggml_vk_create_buffer(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
+            buf = ggml_vk_create_buffer(device, size, vk::MemoryPropertyFlagBits::eDeviceLocal, vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
         } else {
-            buf = ggml_vk_create_buffer(ctx, size, vk::MemoryPropertyFlagBits::eDeviceLocal);
+            buf = ggml_vk_create_buffer(device, size, vk::MemoryPropertyFlagBits::eDeviceLocal);
         }
     } catch (const vk::SystemError& e) {
         std::cerr << "ggml_vulkan: Device memory allocation of size " << size << " failed." << std::endl;
@@ -984,7 +1017,9 @@ static void ggml_vk_destroy_buffer(vk_buffer& buf) {
     }
 
 #ifdef GGML_VULKAN_MEMORY_DEBUG
-    buf->ctx->memory_logger.log_deallocation(buf);
+    if (buf->device != nullptr) {
+        buf->device->memory_logger->log_deallocation(buf);
+    }
 #endif
 
     buf.reset();
@@ -1043,10 +1078,8 @@ static bool ggml_vk_build_shader(ggml_type type) {
     }
 }
 
-static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
-    VK_LOG_DEBUG("ggml_vk_load_shaders(" << ctx->name << ")");
-
-    const std::shared_ptr<vk_device> device = ctx->device;
+static void ggml_vk_load_shaders(vk_device& device) {
+    VK_LOG_DEBUG("ggml_vk_load_shaders(" << device->name << ")");
 
     // mulmat
     std::initializer_list<uint32_t> warptile_l = { 128, 128, 128, 16, device->subgroup_size * 2, 64, 2, 4, 4, device->subgroup_size };
@@ -1065,534 +1098,707 @@ static void ggml_vk_load_shaders(ggml_backend_vk_context * ctx) {
     uint32_t m_align =  64;
     uint32_t s_align =  32;
 
-    ctx->device->pipeline_matmul_f32 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_matmul_f32_f16 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_matmul_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_matmul_f16 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_f32_f16 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_f16 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
 
-    ctx->device->pipeline_matmul_id_f32 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_matmul_id_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_matmul_id_f16 = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
-    ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_id_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_id_f16_f32 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_matmul_id_f16 = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K] = std::make_shared<vk_matmul_pipeline_struct>();
+    device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K] = std::make_shared<vk_matmul_pipeline_struct>();
 
     if (device->fp16) {
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_len, matmul_f32_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_len, matmul_f32_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_len, matmul_f32_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_len, matmul_f32_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_len, matmul_f16_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_len, matmul_f16_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_len, matmul_f16_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_len, matmul_f16_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_len, matmul_q4_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_len, matmul_q4_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_len, matmul_q4_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_len, matmul_q4_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_len, matmul_q5_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_len, matmul_q5_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_len, matmul_q5_1_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_len, matmul_q5_1_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_len, matmul_q8_0_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_len, matmul_q8_0_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_len, matmul_q2_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_len, matmul_q2_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_len, matmul_q3_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_len, matmul_q3_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_len, matmul_q4_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_len, matmul_q4_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_len, matmul_q5_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_len, matmul_q5_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_len, matmul_q6_k_f32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_len, matmul_q6_k_f32_aligned_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_len, matmul_id_f32_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_len, matmul_id_f32_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_len, matmul_id_f16_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_len, matmul_id_f16_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_len, matmul_id_f16_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_len, matmul_id_f16_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_len, matmul_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_len, matmul_id_q4_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_len, matmul_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_len, matmul_id_q4_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_len, matmul_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_len, matmul_id_q5_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_len, matmul_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_len, matmul_id_q5_1_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_len, matmul_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_len, matmul_id_q8_0_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_len, matmul_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_len, matmul_id_q2_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_len, matmul_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_len, matmul_id_q3_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_len, matmul_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_len, matmul_id_q4_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_len, matmul_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_len, matmul_id_q5_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_len, matmul_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_len, matmul_id_q6_k_f32_aligned_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
     } else {
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->l, "matmul_f32_l", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->m, "matmul_f32_m", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->s, "matmul_f32_s", matmul_f32_f32_fp32_len, matmul_f32_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_l, "matmul_f32_aligned_l", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_m, "matmul_f32_aligned_m", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32->a_s, "matmul_f32_aligned_s", matmul_f32_f32_aligned_fp32_len, matmul_f32_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->l, "matmul_f32_f16_l", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->m, "matmul_f32_f16_m", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->s, "matmul_f32_f16_s", matmul_f32_f16_fp32_len, matmul_f32_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_l, "matmul_f32_f16_aligned_l", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_m, "matmul_f32_f16_aligned_m", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f32_f16->a_s, "matmul_f32_f16_aligned_s", matmul_f32_f16_aligned_fp32_len, matmul_f32_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->l, "matmul_f16_l", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->m, "matmul_f16_m", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->s, "matmul_f16_s", matmul_f16_fp32_len, matmul_f16_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_l, "matmul_f16_aligned_l", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_m, "matmul_f16_aligned_m", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16->a_s, "matmul_f16_aligned_s", matmul_f16_aligned_fp32_len, matmul_f16_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->l, "matmul_f16_f32_l", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->m, "matmul_f16_f32_m", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->s, "matmul_f16_f32_s", matmul_f16_f32_fp32_len, matmul_f16_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_l, "matmul_f16_f32_aligned_l", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_m, "matmul_f16_f32_aligned_m", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_f16_f32->a_s, "matmul_f16_f32_aligned_s", matmul_f16_f32_aligned_fp32_len, matmul_f16_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->l, "matmul_q4_0_f32_l", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->m, "matmul_q4_0_f32_m", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->s, "matmul_q4_0_f32_s", matmul_q4_0_f32_fp32_len, matmul_q4_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_l, "matmul_q4_0_f32_aligned_l", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_m, "matmul_q4_0_f32_aligned_m", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_0]->a_s, "matmul_q4_0_f32_aligned_s", matmul_q4_0_f32_aligned_fp32_len, matmul_q4_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->l, "matmul_q4_1_f32_l", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->m, "matmul_q4_1_f32_m", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->s, "matmul_q4_1_f32_s", matmul_q4_1_f32_fp32_len, matmul_q4_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_l, "matmul_q4_1_f32_aligned_l", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_m, "matmul_q4_1_f32_aligned_m", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_1]->a_s, "matmul_q4_1_f32_aligned_s", matmul_q4_1_f32_aligned_fp32_len, matmul_q4_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->l, "matmul_q5_0_f32_l", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->m, "matmul_q5_0_f32_m", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->s, "matmul_q5_0_f32_s", matmul_q5_0_f32_fp32_len, matmul_q5_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_l, "matmul_q5_0_f32_aligned_l", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_m, "matmul_q5_0_f32_aligned_m", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_0]->a_s, "matmul_q5_0_f32_aligned_s", matmul_q5_0_f32_aligned_fp32_len, matmul_q5_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->l, "matmul_q5_1_f32_l", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->m, "matmul_q5_1_f32_m", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->s, "matmul_q5_1_f32_s", matmul_q5_1_f32_fp32_len, matmul_q5_1_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_l, "matmul_q5_1_f32_aligned_l", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_m, "matmul_q5_1_f32_aligned_m", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_1]->a_s, "matmul_q5_1_f32_aligned_s", matmul_q5_1_f32_aligned_fp32_len, matmul_q5_1_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->l, "matmul_q8_0_f32_l", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->m, "matmul_q8_0_f32_m", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->s, "matmul_q8_0_f32_s", matmul_q8_0_f32_fp32_len, matmul_q8_0_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_l, "matmul_q8_0_f32_aligned_l", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_m, "matmul_q8_0_f32_aligned_m", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q8_0]->a_s, "matmul_q8_0_f32_aligned_s", matmul_q8_0_f32_aligned_fp32_len, matmul_q8_0_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->l, "matmul_q2_k_f32_l", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->m, "matmul_q2_k_f32_m", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->s, "matmul_q2_k_f32_s", matmul_q2_k_f32_fp32_len, matmul_q2_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_l, "matmul_q2_k_f32_aligned_l", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_m, "matmul_q2_k_f32_aligned_m", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q2_K]->a_s, "matmul_q2_k_f32_aligned_s", matmul_q2_k_f32_aligned_fp32_len, matmul_q2_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->l, "matmul_q3_k_f32_l", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->m, "matmul_q3_k_f32_m", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->s, "matmul_q3_k_f32_s", matmul_q3_k_f32_fp32_len, matmul_q3_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_l, "matmul_q3_k_f32_aligned_l", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_m, "matmul_q3_k_f32_aligned_m", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q3_K]->a_s, "matmul_q3_k_f32_aligned_s", matmul_q3_k_f32_aligned_fp32_len, matmul_q3_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->l, "matmul_q4_k_f32_l", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->m, "matmul_q4_k_f32_m", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->s, "matmul_q4_k_f32_s", matmul_q4_k_f32_fp32_len, matmul_q4_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_l, "matmul_q4_k_f32_aligned_l", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_m, "matmul_q4_k_f32_aligned_m", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q4_K]->a_s, "matmul_q4_k_f32_aligned_s", matmul_q4_k_f32_aligned_fp32_len, matmul_q4_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->l, "matmul_q5_k_f32_l", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->m, "matmul_q5_k_f32_m", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->s, "matmul_q5_k_f32_s", matmul_q5_k_f32_fp32_len, matmul_q5_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_l, "matmul_q5_k_f32_aligned_l", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_m, "matmul_q5_k_f32_aligned_m", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q5_K]->a_s, "matmul_q5_k_f32_aligned_s", matmul_q5_k_f32_aligned_fp32_len, matmul_q5_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->l, "matmul_q6_k_f32_l", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->m, "matmul_q6_k_f32_m", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->s, "matmul_q6_k_f32_s", matmul_q6_k_f32_fp32_len, matmul_q6_k_f32_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_l, "matmul_q6_k_f32_aligned_l", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_m, "matmul_q6_k_f32_aligned_m", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat[GGML_TYPE_Q6_K]->a_s, "matmul_q6_k_f32_aligned_s", matmul_q6_k_f32_aligned_fp32_len, matmul_q6_k_f32_aligned_fp32_data, "main", 3, sizeof(vk_mat_mat_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->l, "matmul_id_f32_l", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->m, "matmul_id_f32_m", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->s, "matmul_id_f32_s", matmul_id_f32_f32_fp32_len, matmul_id_f32_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_l, "matmul_id_f32_aligned_l", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_m, "matmul_id_f32_aligned_m", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f32->a_s, "matmul_id_f32_aligned_s", matmul_id_f32_f32_aligned_fp32_len, matmul_id_f32_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->l, "matmul_id_f16_l", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->m, "matmul_id_f16_m", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->s, "matmul_id_f16_s", matmul_id_f16_fp32_len, matmul_id_f16_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_l, "matmul_id_f16_aligned_l", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_m, "matmul_id_f16_aligned_m", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16->a_s, "matmul_id_f16_aligned_s", matmul_id_f16_aligned_fp32_len, matmul_id_f16_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->l, "matmul_id_f16_f32_l", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->m, "matmul_id_f16_f32_m", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->s, "matmul_id_f16_f32_s", matmul_id_f16_f32_fp32_len, matmul_id_f16_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, 1);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_l, "matmul_id_f16_f32_aligned_l", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_m, "matmul_id_f16_f32_aligned_m", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_matmul_id_f16_f32->a_s, "matmul_id_f16_f32_aligned_s", matmul_id_f16_f32_aligned_fp32_len, matmul_id_f16_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->l, "matmul_id_q4_0_f32_l", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->m, "matmul_id_q4_0_f32_m", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->s, "matmul_id_q4_0_f32_s", matmul_id_q4_0_f32_fp32_len, matmul_id_q4_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_l, "matmul_id_q4_0_f32_aligned_l", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_m, "matmul_id_q4_0_f32_aligned_m", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_0]->a_s, "matmul_id_q4_0_f32_aligned_s", matmul_id_q4_0_f32_aligned_fp32_len, matmul_id_q4_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->l, "matmul_id_q4_1_f32_l", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->m, "matmul_id_q4_1_f32_m", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->s, "matmul_id_q4_1_f32_s", matmul_id_q4_1_f32_fp32_len, matmul_id_q4_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_l, "matmul_id_q4_1_f32_aligned_l", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_m, "matmul_id_q4_1_f32_aligned_m", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_1]->a_s, "matmul_id_q4_1_f32_aligned_s", matmul_id_q4_1_f32_aligned_fp32_len, matmul_id_q4_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->l, "matmul_id_q5_0_f32_l", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->m, "matmul_id_q5_0_f32_m", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->s, "matmul_id_q5_0_f32_s", matmul_id_q5_0_f32_fp32_len, matmul_id_q5_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_l, "matmul_id_q5_0_f32_aligned_l", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_m, "matmul_id_q5_0_f32_aligned_m", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_0]->a_s, "matmul_id_q5_0_f32_aligned_s", matmul_id_q5_0_f32_aligned_fp32_len, matmul_id_q5_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->l, "matmul_id_q5_1_f32_l", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->m, "matmul_id_q5_1_f32_m", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->s, "matmul_id_q5_1_f32_s", matmul_id_q5_1_f32_fp32_len, matmul_id_q5_1_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_l, "matmul_id_q5_1_f32_aligned_l", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_m, "matmul_id_q5_1_f32_aligned_m", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_1]->a_s, "matmul_id_q5_1_f32_aligned_s", matmul_id_q5_1_f32_aligned_fp32_len, matmul_id_q5_1_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->l, "matmul_id_q8_0_f32_l", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->m, "matmul_id_q8_0_f32_m", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->s, "matmul_id_q8_0_f32_s", matmul_id_q8_0_f32_fp32_len, matmul_id_q8_0_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_l, "matmul_id_q8_0_f32_aligned_l", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_m, "matmul_id_q8_0_f32_aligned_m", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q8_0]->a_s, "matmul_id_q8_0_f32_aligned_s", matmul_id_q8_0_f32_aligned_fp32_len, matmul_id_q8_0_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->l, "matmul_id_q2_k_f32_l", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->m, "matmul_id_q2_k_f32_m", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->s, "matmul_id_q2_k_f32_s", matmul_id_q2_k_f32_fp32_len, matmul_id_q2_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_l, "matmul_id_q2_k_f32_aligned_l", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_m, "matmul_id_q2_k_f32_aligned_m", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q2_K]->a_s, "matmul_id_q2_k_f32_aligned_s", matmul_id_q2_k_f32_aligned_fp32_len, matmul_id_q2_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->l, "matmul_id_q3_k_f32_l", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->m, "matmul_id_q3_k_f32_m", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->s, "matmul_id_q3_k_f32_s", matmul_id_q3_k_f32_fp32_len, matmul_id_q3_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_l, "matmul_id_q3_k_f32_aligned_l", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_m, "matmul_id_q3_k_f32_aligned_m", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q3_K]->a_s, "matmul_id_q3_k_f32_aligned_s", matmul_id_q3_k_f32_aligned_fp32_len, matmul_id_q3_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->l, "matmul_id_q4_k_f32_l", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->m, "matmul_id_q4_k_f32_m", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->s, "matmul_id_q4_k_f32_s", matmul_id_q4_k_f32_fp32_len, matmul_id_q4_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_l, "matmul_id_q4_k_f32_aligned_l", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_m, "matmul_id_q4_k_f32_aligned_m", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q4_K]->a_s, "matmul_id_q4_k_f32_aligned_s", matmul_id_q4_k_f32_aligned_fp32_len, matmul_id_q4_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->l, "matmul_id_q5_k_f32_l", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->m, "matmul_id_q5_k_f32_m", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->s, "matmul_id_q5_k_f32_s", matmul_id_q5_k_f32_fp32_len, matmul_id_q5_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_l, "matmul_id_q5_k_f32_aligned_l", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_m, "matmul_id_q5_k_f32_aligned_m", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q5_K]->a_s, "matmul_id_q5_k_f32_aligned_s", matmul_id_q5_k_f32_aligned_fp32_len, matmul_id_q5_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
 
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
-        ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->l, "matmul_id_q6_k_f32_l", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->m, "matmul_id_q6_k_f32_m", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->s, "matmul_id_q6_k_f32_s", matmul_id_q6_k_f32_fp32_len, matmul_id_q6_k_f32_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_l, "matmul_id_q6_k_f32_aligned_l", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), l_wg_denoms, warptile_mmq_l, l_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_m, "matmul_id_q6_k_f32_aligned_m", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), m_wg_denoms, warptile_mmq_m, m_align);
+        ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_mat_id[GGML_TYPE_Q6_K]->a_s, "matmul_id_q6_k_f32_aligned_s", matmul_id_q6_k_f32_aligned_fp32_len, matmul_id_q6_k_f32_aligned_fp32_data, "main", 4, sizeof(vk_mat_mat_id_push_constants), s_wg_denoms, warptile_mmq_s, s_align);
     }
 
     // mul mat vec
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f32_f32",  mul_mat_vec_f32_f32_f32_len,  mul_mat_vec_f32_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f32_f32",  mul_mat_vec_f16_f32_f32_len,  mul_mat_vec_f16_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f32_f32", mul_mat_vec_q4_0_f32_f32_len, mul_mat_vec_q4_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f32_f32", mul_mat_vec_q4_1_f32_f32_len, mul_mat_vec_q4_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f32_f32",  mul_mat_vec_f32_f32_f32_len,  mul_mat_vec_f32_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f32_f32",  mul_mat_vec_f16_f32_f32_len,  mul_mat_vec_f16_f32_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f32_f32", mul_mat_vec_q4_0_f32_f32_len, mul_mat_vec_q4_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f32_f32", mul_mat_vec_q4_1_f32_f32_len, mul_mat_vec_q4_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f32_f32", mul_mat_vec_q5_0_f32_f32_len, mul_mat_vec_q5_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f32_f32", mul_mat_vec_q5_1_f32_f32_len, mul_mat_vec_q5_1_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f32_f32", mul_mat_vec_q8_0_f32_f32_len, mul_mat_vec_q8_0_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f32_f32", mul_mat_vec_q2_k_f32_f32_len, mul_mat_vec_q2_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f32_f32", mul_mat_vec_q3_k_f32_f32_len, mul_mat_vec_q3_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f32_f32", mul_mat_vec_q4_k_f32_f32_len, mul_mat_vec_q4_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f32_f32", mul_mat_vec_q5_k_f32_f32_len, mul_mat_vec_q5_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f32_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f32_f32", mul_mat_vec_q6_k_f32_f32_len, mul_mat_vec_q6_k_f32_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32",  mul_mat_vec_f32_f16_f32_len,  mul_mat_vec_f32_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32",  mul_mat_vec_f16_f16_f32_len,  mul_mat_vec_f16_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f16_f32", mul_mat_vec_q4_0_f16_f32_len, mul_mat_vec_q4_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f16_f32", mul_mat_vec_q4_1_f16_f32_len, mul_mat_vec_q4_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F32 ], "mul_mat_vec_f32_f16_f32",  mul_mat_vec_f32_f16_f32_len,  mul_mat_vec_f32_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_F16 ], "mul_mat_vec_f16_f16_f32",  mul_mat_vec_f16_f16_f32_len,  mul_mat_vec_f16_f16_f32_data,  "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_0], "mul_mat_vec_q4_0_f16_f32", mul_mat_vec_q4_0_f16_f32_len, mul_mat_vec_q4_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_1], "mul_mat_vec_q4_1_f16_f32", mul_mat_vec_q4_1_f16_f32_len, mul_mat_vec_q4_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_0], "mul_mat_vec_q5_0_f16_f32", mul_mat_vec_q5_0_f16_f32_len, mul_mat_vec_q5_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_1], "mul_mat_vec_q5_1_f16_f32", mul_mat_vec_q5_1_f16_f32_len, mul_mat_vec_q5_1_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q8_0], "mul_mat_vec_q8_0_f16_f32", mul_mat_vec_q8_0_f16_f32_len, mul_mat_vec_q8_0_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q2_K], "mul_mat_vec_q2_k_f16_f32", mul_mat_vec_q2_k_f16_f32_len, mul_mat_vec_q2_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q3_K], "mul_mat_vec_q3_k_f16_f32", mul_mat_vec_q3_k_f16_f32_len, mul_mat_vec_q3_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q4_K], "mul_mat_vec_q4_k_f16_f32", mul_mat_vec_q4_k_f16_f32_len, mul_mat_vec_q4_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q5_K], "mul_mat_vec_q5_k_f16_f32", mul_mat_vec_q5_k_f16_f32_len, mul_mat_vec_q5_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_f16_f32[GGML_TYPE_Q6_K], "mul_mat_vec_q6_k_f16_f32", mul_mat_vec_q6_k_f16_f32_len, mul_mat_vec_q6_k_f16_f32_data, "main", 3, sizeof(vk_mat_vec_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",  mul_mat_vec_id_f32_f32_len,  mul_mat_vec_id_f32_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",  mul_mat_vec_id_f16_f32_len,  mul_mat_vec_id_f16_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F32 ], "mul_mat_vec_id_f32_f32",  mul_mat_vec_id_f32_f32_len,  mul_mat_vec_id_f32_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_F16 ], "mul_mat_vec_id_f16_f32",  mul_mat_vec_id_f16_f32_len,  mul_mat_vec_id_f16_f32_data,  "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_0], "mul_mat_vec_id_q4_0_f32", mul_mat_vec_id_q4_0_f32_len, mul_mat_vec_id_q4_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_1], "mul_mat_vec_id_q4_1_f32", mul_mat_vec_id_q4_1_f32_len, mul_mat_vec_id_q4_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_0], "mul_mat_vec_id_q5_0_f32", mul_mat_vec_id_q5_0_f32_len, mul_mat_vec_id_q5_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_1], "mul_mat_vec_id_q5_1_f32", mul_mat_vec_id_q5_1_f32_len, mul_mat_vec_id_q5_1_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q8_0], "mul_mat_vec_id_q8_0_f32", mul_mat_vec_id_q8_0_f32_len, mul_mat_vec_id_q8_0_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q2_K], "mul_mat_vec_id_q2_k_f32", mul_mat_vec_id_q2_k_f32_len, mul_mat_vec_id_q2_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q3_K], "mul_mat_vec_id_q3_k_f32", mul_mat_vec_id_q3_k_f32_len, mul_mat_vec_id_q3_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q4_K], "mul_mat_vec_id_q4_k_f32", mul_mat_vec_id_q4_k_f32_len, mul_mat_vec_id_q4_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q5_K], "mul_mat_vec_id_q5_k_f32", mul_mat_vec_id_q5_k_f32_len, mul_mat_vec_id_q5_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant_mul_mat_vec_id_f32[GGML_TYPE_Q6_K], "mul_mat_vec_id_q6_k_f32", mul_mat_vec_id_q6_k_f32_len, mul_mat_vec_id_q6_k_f32_data, "main", 4, sizeof(vk_mat_vec_id_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 
     // dequant shaders
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_F32 ], "f32_to_f16",   dequant_f32_len,  dequant_f32_data,  "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_0], "dequant_q4_0", dequant_q4_0_len, dequant_q4_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_1], "dequant_q4_1", dequant_q4_1_len, dequant_q4_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_0], "dequant_q5_0", dequant_q5_0_len, dequant_q5_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_1], "dequant_q5_1", dequant_q5_1_len, dequant_q5_1_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q8_0], "dequant_q8_0", dequant_q8_0_len, dequant_q8_0_data, "main", 2, 5 * sizeof(uint32_t), {256 * 16, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q2_K], "dequant_q2_k", dequant_q2_k_len, dequant_q2_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q3_K], "dequant_q3_k", dequant_q3_k_len, dequant_q3_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q4_K], "dequant_q4_k", dequant_q4_k_len, dequant_q4_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 32, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q5_K], "dequant_q5_k", dequant_q5_k_len, dequant_q5_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_dequant[GGML_TYPE_Q6_K], "dequant_q6_k", dequant_q6_k_len, dequant_q6_k_data, "main", 2, 5 * sizeof(uint32_t), {256 * 64, 1, 1}, {}, 1);
 
     // get_rows
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32",  get_rows_f32_len,  get_rows_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16",  get_rows_f16_len,  get_rows_f16_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F32 ], "get_rows_f32",  get_rows_f32_len,  get_rows_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_F16 ], "get_rows_f16",  get_rows_f16_len,  get_rows_f16_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_0], "get_rows_q4_0", get_rows_q4_0_len, get_rows_q4_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q4_1], "get_rows_q4_1", get_rows_q4_1_len, get_rows_q4_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_0], "get_rows_q5_0", get_rows_q5_0_len, get_rows_q5_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q5_1], "get_rows_q5_1", get_rows_q5_1_len, get_rows_q5_1_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows[GGML_TYPE_Q8_0], "get_rows_q8_0", get_rows_q8_0_len, get_rows_q8_0_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32",  get_rows_f32_f32_len,  get_rows_f32_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32",  get_rows_f16_f32_len,  get_rows_f16_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F32 ], "get_rows_f32_f32",  get_rows_f32_f32_len,  get_rows_f32_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_F16 ], "get_rows_f16_f32",  get_rows_f16_f32_len,  get_rows_f16_f32_data,  "main", 3, sizeof(vk_op_binary_push_constants), { 512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_0], "get_rows_q4_0_f32", get_rows_q4_0_f32_len, get_rows_q4_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q4_1], "get_rows_q4_1_f32", get_rows_q4_1_f32_len, get_rows_q4_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_0], "get_rows_q5_0_f32", get_rows_q5_0_f32_len, get_rows_q5_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q5_1], "get_rows_q5_1_f32", get_rows_q5_1_f32_len, get_rows_q5_1_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_get_rows_f32[GGML_TYPE_Q8_0], "get_rows_q8_0_f32", get_rows_q8_0_f32_len, get_rows_q8_0_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {1024, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_matmul_split_k_reduce, "split_k_reduce", split_k_reduce_len, split_k_reduce_data, "main", 2, 2 * sizeof(uint32_t), {256, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, "mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, "mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_mul_mat_vec_p021_f16_f32, "mul_mat_vec_p021_f16_f32", mul_mat_vec_p021_f16_f32_len, mul_mat_vec_p021_f16_f32_data, "main", 3, 6 * sizeof(uint32_t), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_mul_mat_vec_nc_f16_f32, "mul_mat_vec_nc_f16_f32", mul_mat_vec_nc_f16_f32_len, mul_mat_vec_nc_f16_f32_data, "main", 3, 7 * sizeof(uint32_t), {1, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_norm_f32, "norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rms_norm_f32, "rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_norm_f32, "norm_f32", norm_f32_len, norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rms_norm_f32, "rms_norm_f32", rms_norm_f32_len, rms_norm_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f32_f32, "cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f32_f16, "cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_cpy_f16_f16, "cpy_f16_f16", cpy_f16_f16_len, cpy_f16_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f32, "cpy_f32_f32", cpy_f32_f32_len, cpy_f32_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f32_f16, "cpy_f32_f16", cpy_f32_f16_len, cpy_f32_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_cpy_f16_f16, "cpy_f16_f16", cpy_f16_f16_len, cpy_f16_f16_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_add_f32, "add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_add_f32, "add_f32", add_f32_len, add_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_mul_f32, "mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_mul_f32, "mul_f32", mul_f32_len, mul_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_div_f32, "div_f32", div_f32_len, div_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_div_f32, "div_f32", div_f32_len, div_f32_data, "main", 3, sizeof(vk_op_binary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_scale_f32, "scale_f32", scale_f32_len, scale_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sqr_f32, "sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_sqr_f32, "sqr_f32", sqr_f32_len, sqr_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_clamp_f32, "clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_clamp_f32, "clamp_f32", clamp_f32_len, clamp_f32_data, "main", 2, sizeof(vk_op_unary_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_gelu_f32, "gelu_f32", gelu_f32_len, gelu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_silu_f32, "silu_f32", silu_f32_len, silu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_relu_f32, "relu_f32", relu_f32_len, relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_gelu_f32, "gelu_f32", gelu_f32_len, gelu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_silu_f32, "silu_f32", silu_f32_len, silu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_relu_f32, "relu_f32", relu_f32_len, relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_diag_mask_inf_f32, "diag_mask_inf_f32", diag_mask_inf_f32_len, diag_mask_inf_f32_data, "main", 2, sizeof(vk_op_diag_mask_push_constants), {512, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32, "soft_max_f32", soft_max_f32_len, soft_max_f32_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_soft_max_f32_f16, "soft_max_f32_f16", soft_max_f32_f16_len, soft_max_f32_f16_data, "main", 3, sizeof(vk_op_soft_max_push_constants), {1, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f32, "rope_norm_f32", rope_norm_f32_len, rope_norm_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f32, "rope_norm_f32", rope_norm_f32_len, rope_norm_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_norm_f16, "rope_norm_f16", rope_norm_f16_len, rope_norm_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f32, "rope_neox_f32", rope_neox_f32_len, rope_neox_f32_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_rope_neox_f16, "rope_neox_f16", rope_neox_f16_len, rope_neox_f16_data, "main", 4, sizeof(vk_op_rope_push_constants), {1, 512, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_argsort_f32, "argsort_f32", argsort_f32_len, argsort_f32_data, "main", 2, sizeof(vk_op_argsort_push_constants), {1024, 1, 1}, {}, 1);
 
-    ggml_vk_create_pipeline(ctx, ctx->device->pipeline_sum_rows_f32, "sum_rows_f32", sum_rows_f32_len, sum_rows_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
+    ggml_vk_create_pipeline(device, device->pipeline_sum_rows_f32, "sum_rows_f32", sum_rows_f32_len, sum_rows_f32_data, "main", 2, sizeof(vk_op_push_constants), {1, 1, 1}, { device->subgroup_size }, 1);
 }
 
+static vk_device ggml_vk_get_device(size_t idx) {
+    VK_LOG_DEBUG("ggml_vk_get_device(" << idx << ")");
+
+    if (vk_instance.devices[idx] == nullptr) {
+        VK_LOG_DEBUG("Initializing new vk_device");
+        vk_device device = std::make_shared<vk_device_struct>();
+        vk_instance.devices[idx] = device;
+
+#ifdef GGML_VULKAN_MEMORY_DEBUG
+        device->memory_logger = std::unique_ptr<vk_memory_logger>(new vk_memory_logger());
+#endif
+
+        size_t dev_num = vk_instance.device_indices[idx];
+
+        std::vector<vk::PhysicalDevice> physical_devices = vk_instance.instance.enumeratePhysicalDevices();
+
+        if (dev_num >= physical_devices.size()) {
+            std::cerr << "ggml_vulkan: Device with index " << dev_num << " does not exist." << std::endl;
+            throw std::runtime_error("Device not found");
+        }
+
+        device->physical_device = physical_devices[dev_num];
+        const std::vector<vk::ExtensionProperties> ext_props = device->physical_device.enumerateDeviceExtensionProperties();
+
+        bool maintenance4_support = false;
+
+        // Check if maintenance4 is supported
+        for (const auto& properties : ext_props) {
+            if (strcmp("VK_KHR_maintenance4", properties.extensionName) == 0) {
+                maintenance4_support = true;
+            }
+        }
+
+        vk::PhysicalDeviceProperties2 props2;
+        vk::PhysicalDeviceMaintenance3Properties props3;
+        vk::PhysicalDeviceMaintenance4Properties props4;
+        vk::PhysicalDeviceSubgroupProperties subgroup_props;
+        props2.pNext = &props3;
+        props3.pNext = &subgroup_props;
+        if (maintenance4_support) {
+            subgroup_props.pNext = &props4;
+        }
+        device->physical_device.getProperties2(&props2);
+        device->properties = props2.properties;
+
+        const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE");
+
+        if (GGML_VK_FORCE_MAX_ALLOCATION_SIZE != nullptr) {
+            device->max_memory_allocation_size = std::stoi(GGML_VK_FORCE_MAX_ALLOCATION_SIZE);
+        } else if (maintenance4_support) {
+            device->max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize);
+        } else {
+            device->max_memory_allocation_size = props3.maxMemoryAllocationSize;
+        }
+
+        device->vendor_id = device->properties.vendorID;
+        device->subgroup_size = subgroup_props.subgroupSize;
+        device->uma = device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu;
+
+        bool fp16_storage = false;
+        bool fp16_compute = false;
+
+        for (const auto& properties : ext_props) {
+            if (strcmp("VK_KHR_16bit_storage", properties.extensionName) == 0) {
+                fp16_storage = true;
+            } else if (strcmp("VK_KHR_shader_float16_int8", properties.extensionName) == 0) {
+                fp16_compute = true;
+            }
+        }
+
+        const char* GGML_VK_DISABLE_F16 = getenv("GGML_VK_DISABLE_F16");
+        const bool force_disable_f16 = GGML_VK_DISABLE_F16 != nullptr;
+
+        device->fp16 = !force_disable_f16 && fp16_storage && fp16_compute;
+
+        std::vector<vk::QueueFamilyProperties> queue_family_props = device->physical_device.getQueueFamilyProperties();
+
+        // Try to find a non-graphics compute queue and transfer-focused queues
+        const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1);
+        const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1);
+
+        const float priorities[] = { 1.0f, 1.0f };
+        device->single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1;
+
+        std::vector<vk::DeviceQueueCreateInfo> device_queue_create_infos;
+        if (compute_queue_family_index != transfer_queue_family_index) {
+            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities});
+            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, priorities + 1});
+        } else if(!device->single_queue) {
+            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities});
+        } else {
+            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities});
+        }
+        vk::DeviceCreateInfo device_create_info;
+        std::vector<const char *> device_extensions;
+        vk::PhysicalDeviceFeatures device_features = device->physical_device.getFeatures();
+
+        VkPhysicalDeviceFeatures2 device_features2;
+        device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2;
+        device_features2.pNext = nullptr;
+        device_features2.features = (VkPhysicalDeviceFeatures)device_features;
+
+        VkPhysicalDeviceVulkan11Features vk11_features;
+        vk11_features.pNext = nullptr;
+        vk11_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_1_FEATURES;
+        device_features2.pNext = &vk11_features;
+
+        VkPhysicalDeviceVulkan12Features vk12_features;
+        vk12_features.pNext = nullptr;
+        vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES;
+        vk11_features.pNext = &vk12_features;
+
+        vkGetPhysicalDeviceFeatures2(device->physical_device, &device_features2);
+
+        device->fp16 = device->fp16 && vk12_features.shaderFloat16;
+
+        if (!vk11_features.storageBuffer16BitAccess) {
+            std::cerr << "ggml_vulkan: device " << GGML_VK_NAME << idx << " does not support 16-bit storage." << std::endl;
+            throw std::runtime_error("Unsupported device");
+        }
+
+        device_extensions.push_back("VK_KHR_16bit_storage");
+
+#ifdef GGML_VULKAN_VALIDATE
+        device_extensions.push_back("VK_KHR_shader_non_semantic_info");
+#endif
+
+        if (device->fp16) {
+            device_extensions.push_back("VK_KHR_shader_float16_int8");
+        }
+        device->name = device->properties.deviceName.data();
+
+        device_create_info = {
+            vk::DeviceCreateFlags(),
+            device_queue_create_infos,
+            {},
+            device_extensions
+        };
+        device_create_info.setPNext(&device_features2);
+        device->device = device->physical_device.createDevice(device_create_info);
+
+        device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN;
+
+        // Queues
+        ggml_vk_create_queue(device, device->compute_queue, compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer });
+
+        // Shaders
+        ggml_vk_load_shaders(device);
+
+        if (!device->single_queue) {
+            const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0;
+            ggml_vk_create_queue(device, device->transfer_queue, transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer });
+        } else {
+            // TODO: Use pointer or reference to avoid copy
+            device->transfer_queue = device->compute_queue;
+        }
+
+        device->buffer_type = {
+            /* .iface    = */ ggml_backend_vk_buffer_type_interface,
+            /* .context  = */ new ggml_backend_vk_buffer_type_context{ device->name, device },
+        };
+
+        device->fence = device->device.createFence({});
+
+        device->idx = idx;
+
+        return device;
+    }
+
+    return vk_instance.devices[idx];
+}
+
+
 static void ggml_vk_print_gpu_info(size_t idx) {
     GGML_ASSERT(idx < vk_instance.device_indices.size());
     size_t dev_num = vk_instance.device_indices[idx];
     VK_LOG_DEBUG("ggml_vk_print_gpu_info(" << dev_num << ")");
-    GGML_ASSERT(vk_instance.initialized);
+    GGML_ASSERT(vk_instance_initialized);
 
     std::vector<vk::PhysicalDevice> devices = vk_instance.instance.enumeratePhysicalDevices();
 
@@ -1670,6 +1876,8 @@ void ggml_vk_instance_init() {
     }
     VK_LOG_DEBUG("ggml_vk_instance_init()");
 
+    vk_instance_initialized = true;
+
     vk::ApplicationInfo app_info{ "ggml-vulkan", 1, nullptr, 0, VK_API_VERSION };
 
     const std::vector<vk::ExtensionProperties> instance_extensions = vk::enumerateInstanceExtensionProperties();
@@ -1715,8 +1923,6 @@ void ggml_vk_instance_init() {
     }
     vk_instance.instance = vk::createInstance(instance_create_info);
 
-    memset(vk_instance.initialized, 0, sizeof(bool) * GGML_VK_MAX_DEVICES);
-
     size_t num_available_devices = vk_instance.instance.enumeratePhysicalDevices().size();
 
     // Emulate behavior of CUDA_VISIBLE_DEVICES for Vulkan
@@ -1833,177 +2039,32 @@ void ggml_vk_instance_init() {
     for (size_t i = 0; i < vk_instance.device_indices.size(); i++) {
         ggml_vk_print_gpu_info(i);
     }
-
-    vk_instance_initialized = true;
 }
 
 static void ggml_vk_init(ggml_backend_vk_context * ctx, size_t idx) {
     GGML_ASSERT(idx < vk_instance.device_indices.size());
-    size_t dev_num = vk_instance.device_indices[idx];
-    VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << dev_num << ")");
+    VK_LOG_DEBUG("ggml_vk_init(" << ctx->name << ", " << idx << ")");
     ggml_vk_instance_init();
 
-    std::vector<vk::PhysicalDevice> devices = vk_instance.instance.enumeratePhysicalDevices();
-
-    if (dev_num >= devices.size()) {
-        std::cerr << "ggml_vulkan: Device with index " << dev_num << " does not exist." << std::endl;
-        throw std::runtime_error("Device not found");
-    }
+    ctx->name = GGML_VK_NAME + std::to_string(idx);
 
     ctx->device = ggml_vk_get_device(idx);
-    if (!ctx->device->initialized) {
-        ctx->device->physical_device = devices[dev_num];
-        const std::vector<vk::ExtensionProperties> ext_props = ctx->device->physical_device.enumerateDeviceExtensionProperties();
 
-        bool maintenance4_support = false;
+    ctx->semaphore_idx = 0;
+    ctx->event_idx = 0;
 
-        // Check if maintenance4 is supported
-        for (const auto& properties : ext_props) {
-            if (strcmp("VK_KHR_maintenance4", properties.extensionName) == 0) {
-                maintenance4_support = true;
-            }
-        }
-
-        vk::PhysicalDeviceProperties2 props2;
-        vk::PhysicalDeviceMaintenance3Properties props3;
-        vk::PhysicalDeviceMaintenance4Properties props4;
-        vk::PhysicalDeviceSubgroupProperties subgroup_props;
-        props2.pNext = &props3;
-        props3.pNext = &subgroup_props;
-        if (maintenance4_support) {
-            subgroup_props.pNext = &props4;
-        }
-        ctx->device->physical_device.getProperties2(&props2);
-        ctx->device->properties = props2.properties;
-
-        const char* GGML_VK_FORCE_MAX_ALLOCATION_SIZE = getenv("GGML_VK_FORCE_MAX_ALLOCATION_SIZE");
-
-        if (GGML_VK_FORCE_MAX_ALLOCATION_SIZE != nullptr) {
-            ctx->device->max_memory_allocation_size = std::stoi(GGML_VK_FORCE_MAX_ALLOCATION_SIZE);
-        } else if (maintenance4_support) {
-            ctx->device->max_memory_allocation_size = std::min(props3.maxMemoryAllocationSize, props4.maxBufferSize);
-        } else {
-            ctx->device->max_memory_allocation_size = props3.maxMemoryAllocationSize;
-        }
-
-        ctx->device->vendor_id = ctx->device->properties.vendorID;
-        ctx->device->subgroup_size = subgroup_props.subgroupSize;
-        ctx->device->uma = ctx->device->properties.deviceType == vk::PhysicalDeviceType::eIntegratedGpu;
-
-        bool fp16_storage = false;
-        bool fp16_compute = false;
-
-        for (const auto& properties : ext_props) {
-            if (strcmp("VK_KHR_16bit_storage", properties.extensionName) == 0) {
-                fp16_storage = true;
-            } else if (strcmp("VK_KHR_shader_float16_int8", properties.extensionName) == 0) {
-                fp16_compute = true;
-            }
-        }
-
-        const char* GGML_VK_DISABLE_F16 = getenv("GGML_VK_DISABLE_F16");
-        const bool force_disable_f16 = GGML_VK_DISABLE_F16 != nullptr;
-
-        ctx->device->fp16 = !force_disable_f16 && fp16_storage && fp16_compute;
-
-        std::vector<vk::QueueFamilyProperties> queue_family_props = ctx->device->physical_device.getQueueFamilyProperties();
-
-        // Try to find a non-graphics compute queue and transfer-focused queues
-        const uint32_t compute_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eCompute, vk::QueueFlagBits::eGraphics, -1, 1);
-        const uint32_t transfer_queue_family_index = ggml_vk_find_queue_family_index(queue_family_props, vk::QueueFlagBits::eTransfer, vk::QueueFlagBits::eCompute | vk::QueueFlagBits::eGraphics, compute_queue_family_index, 1);
-
-        const float priorities[] = { 1.0f, 1.0f };
-        ctx->device->single_queue = compute_queue_family_index == transfer_queue_family_index && queue_family_props[compute_queue_family_index].queueCount == 1;
-
-        std::vector<vk::DeviceQueueCreateInfo> device_queue_create_infos;
-        if (compute_queue_family_index != transfer_queue_family_index) {
-            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities});
-            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), transfer_queue_family_index, 1, priorities + 1});
-        } else if(!ctx->device->single_queue) {
-            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 2, priorities});
-        } else {
-            device_queue_create_infos.push_back({vk::DeviceQueueCreateFlags(), compute_queue_family_index, 1, priorities});
-        }
-        vk::DeviceCreateInfo device_create_info;
-        std::vector<const char *> device_extensions;
-        vk::PhysicalDeviceFeatures device_features = ctx->device->physical_device.getFeatures();
-
-        VkPhysicalDeviceFeatures2 device_features2;
-        device_features2.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_FEATURES_2;
-        device_features2.pNext = nullptr;
-        device_features2.features = (VkPhysicalDeviceFeatures)device_features;
-
-        VkPhysicalDeviceVulkan11Features vk11_features;
-        vk11_features.pNext = nullptr;
-        vk11_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_1_FEATURES;
-        device_features2.pNext = &vk11_features;
-
-        VkPhysicalDeviceVulkan12Features vk12_features;
-        vk12_features.pNext = nullptr;
-        vk12_features.sType = VK_STRUCTURE_TYPE_PHYSICAL_DEVICE_VULKAN_1_2_FEATURES;
-        vk11_features.pNext = &vk12_features;
-
-        vkGetPhysicalDeviceFeatures2(ctx->device->physical_device, &device_features2);
-
-        ctx->device->fp16 = ctx->device->fp16 && vk12_features.shaderFloat16;
-
-        if (!vk11_features.storageBuffer16BitAccess) {
-            std::cerr << "ggml_vulkan: device " << GGML_VK_NAME << idx << " does not support 16-bit storage." << std::endl;
-            throw std::runtime_error("Unsupported device");
-        }
-
-        device_extensions.push_back("VK_KHR_16bit_storage");
-
-#ifdef GGML_VULKAN_VALIDATE
-        device_extensions.push_back("VK_KHR_shader_non_semantic_info");
-#endif
-
-        if (ctx->device->fp16) {
-            device_extensions.push_back("VK_KHR_shader_float16_int8");
-        }
-        ctx->device->name = ctx->device->properties.deviceName.data();
-
-        device_create_info = {
-            vk::DeviceCreateFlags(),
-            device_queue_create_infos,
-            {},
-            device_extensions
-        };
-        device_create_info.setPNext(&device_features2);
-        ctx->device->device = ctx->device->physical_device.createDevice(device_create_info);
-
-        ctx->device->descriptor_set_mode = VK_DEVICE_DESCRIPTOR_POOL_MODE_UNKNOWN;
-
-        // Queues
-        ggml_vk_create_queue(ctx, ctx->device->compute_queue, compute_queue_family_index, 0, { vk::PipelineStageFlagBits::eComputeShader | vk::PipelineStageFlagBits::eTransfer });
-
-        // Shaders
-        ggml_vk_load_shaders(ctx);
-
-        if (!ctx->device->single_queue) {
-            const uint32_t transfer_queue_index = compute_queue_family_index == transfer_queue_family_index ? 1 : 0;
-            ggml_vk_create_queue(ctx, ctx->device->transfer_queue, transfer_queue_family_index, transfer_queue_index, { vk::PipelineStageFlagBits::eTransfer });
-        } else {
-            // TODO: Use pointer or reference to avoid copy
-            ctx->device->transfer_queue = ctx->device->compute_queue;
-        }
-
-        ctx->device->idx = dev_num;
-        ctx->device->initialized = true;
-    } else if (ctx->device->idx != dev_num) {
-        std::cerr << "ggml_vulkan: Device " << ctx->device->name << " already initialized with index " << ctx->device->idx << ", but trying to reinitialize with index " << dev_num << std::endl;
-        throw std::runtime_error("Device already initialized");
-    }
+    ctx->prealloc_size_x = 0;
+    ctx->prealloc_size_y = 0;
+    ctx->prealloc_size_split_k = 0;
 
     ctx->fence = ctx->device->device.createFence({});
 
+    ctx->staging_size = 0;
+    ctx->staging_offset = 0;
+
     ctx->compute_ctx = nullptr;
     ctx->transfer_ctx = nullptr;
 
-    ctx->initialized = true;
-
-    ctx->idx = idx;
-
 #ifdef GGML_VULKAN_CHECK_RESULTS
     const char* skip_checks = getenv("GGML_VULKAN_SKIP_CHECKS");
     vk_skip_checks = (skip_checks == NULL ? 0 : atoi(skip_checks));
@@ -2184,7 +2245,7 @@ static vk_buffer ggml_vk_pool_malloc(ggml_backend_vk_context * ctx, size_t size)
         ggml_vk_destroy_buffer(b);
     }
 
-    return ggml_vk_create_buffer_device(ctx, size);
+    return ggml_vk_create_buffer_device(ctx->device, size);
 }
 
 static void ggml_vk_pool_free(ggml_backend_vk_context * ctx, vk_buffer& buffer) {
@@ -2218,37 +2279,37 @@ static vk_buffer ggml_vk_create_buffer_temp(ggml_backend_vk_context * ctx, size_
     return buf;
 }
 
-static void * ggml_vk_host_malloc(ggml_backend_vk_context * ctx, size_t size) {
+static void * ggml_vk_host_malloc(vk_device& device, size_t size) {
     VK_LOG_MEMORY("ggml_vk_host_malloc(" << size << ")");
-    vk_buffer buf = ggml_vk_create_buffer(ctx, size,
+    vk_buffer buf = ggml_vk_create_buffer(device, size,
         vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
         vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
 
     if(!(buf->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible)) {
         fprintf(stderr, "WARNING: failed to allocate %.2f MB of pinned memory\n",
             size/1024.0/1024.0);
-        ctx->device->device.freeMemory(buf->device_memory);
-        ctx->device->device.destroyBuffer(buf->buffer);
+        device->device.freeMemory(buf->device_memory);
+        device->device.destroyBuffer(buf->buffer);
         return nullptr;
     }
 
-    ctx->pinned_memory.push_back(std::make_tuple(buf->ptr, size, buf));
+    device->pinned_memory.push_back(std::make_tuple(buf->ptr, size, buf));
 
     return buf->ptr;
 }
 
-static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) {
+static void ggml_vk_host_free(vk_device& device, void* ptr) {
     if (ptr == nullptr) {
         return;
     }
     VK_LOG_MEMORY("ggml_vk_host_free(" << ptr << ")");
     vk_buffer buf;
     size_t index;
-    for (size_t i = 0; i < ctx->pinned_memory.size(); i++) {
-        const uint8_t* addr = (const uint8_t*) std::get<0>(ctx->pinned_memory[i]);
-        const uint8_t* endr = addr + std::get<1>(ctx->pinned_memory[i]);
+    for (size_t i = 0; i < device->pinned_memory.size(); i++) {
+        const uint8_t* addr = (const uint8_t*) std::get<0>(device->pinned_memory[i]);
+        const uint8_t* endr = addr + std::get<1>(device->pinned_memory[i]);
         if (ptr >= addr && ptr < endr) {
-            buf = std::get<2>(ctx->pinned_memory[i]);
+            buf = std::get<2>(device->pinned_memory[i]);
             index = i;
             break;
         }
@@ -2260,26 +2321,26 @@ static void ggml_vk_host_free(ggml_backend_vk_context * ctx, void* ptr) {
 
     ggml_vk_destroy_buffer(buf);
 
-    ctx->pinned_memory.erase(ctx->pinned_memory.begin() + index);
+    device->pinned_memory.erase(device->pinned_memory.begin() + index);
 }
 
-static void ggml_vk_host_get(ggml_backend_vk_context * ctx, const void * ptr, vk_buffer& buf, size_t& buf_offset) {
+static void ggml_vk_host_get(vk_device& device, const void * ptr, vk_buffer& buf, size_t& buf_offset) {
     buf = nullptr;
     buf_offset = 0;
-    for (size_t i = 0; i < ctx->pinned_memory.size(); i++) {
-        const uint8_t* addr = (const uint8_t*) std::get<0>(ctx->pinned_memory[i]);
-        const uint8_t* endr = addr + std::get<1>(ctx->pinned_memory[i]);
+    for (size_t i = 0; i < device->pinned_memory.size(); i++) {
+        const uint8_t* addr = (const uint8_t*) std::get<0>(device->pinned_memory[i]);
+        const uint8_t* endr = addr + std::get<1>(device->pinned_memory[i]);
         if (ptr >= addr && ptr < endr) {
-            buf = std::get<2>(ctx->pinned_memory[i]);
+            buf = std::get<2>(device->pinned_memory[i]);
             buf_offset = ((const uint8_t *)ptr) - addr;
             break;
         }
     }
 }
 
-static vk_submission ggml_vk_begin_submission(ggml_backend_vk_context * ctx, vk_queue& q, bool one_time = true) {
+static vk_submission ggml_vk_begin_submission(vk_device& device, vk_queue& q, bool one_time = true) {
     vk_submission s;
-    s.buffer = ggml_vk_create_cmd_buffer(ctx, q);
+    s.buffer = ggml_vk_create_cmd_buffer(device, q);
     if (one_time) {
         s.buffer.begin({ vk::CommandBufferUsageFlagBits::eOneTimeSubmit });
     } else {
@@ -2339,13 +2400,13 @@ static void ggml_vk_ctx_end(vk_context * ctx) {
     ctx->s = nullptr;
 }
 
-static void ggml_vk_ctx_begin(ggml_backend_vk_context * ctx, vk_context * subctx) {
-    VK_LOG_DEBUG("ggml_vk_ctx_begin(" << ctx << ")");
+static void ggml_vk_ctx_begin(vk_device& device, vk_context * subctx) {
+    VK_LOG_DEBUG("ggml_vk_ctx_begin(" << device->name << ")");
     if (subctx->s != nullptr) {
         ggml_vk_ctx_end(subctx);
     }
 
-    subctx->seqs.push_back({ ggml_vk_begin_submission(ctx, *subctx->q) });
+    subctx->seqs.push_back({ ggml_vk_begin_submission(device, *subctx->q) });
     subctx->s = subctx->seqs[subctx->seqs.size() - 1].data();
 }
 
@@ -2362,11 +2423,11 @@ static void deferred_memcpy(void * dst, const void * src, size_t size, std::vect
     }
 }
 
-static void ggml_vk_ensure_sync_staging_buffer(ggml_backend_vk_context * ctx, size_t size) {
-    if (ctx->sync_staging == nullptr || ctx->sync_staging->size < size) {
+static void ggml_vk_ensure_sync_staging_buffer(vk_device& device, size_t size) {
+    if (device->sync_staging == nullptr || device->sync_staging->size < size) {
         VK_LOG_MEMORY("ggml_vk_ensure_sync_staging_buffer(" << size << ")");
-        ggml_vk_destroy_buffer(ctx->sync_staging);
-        ctx->sync_staging = ggml_vk_create_buffer_check(ctx, size,
+        ggml_vk_destroy_buffer(device->sync_staging);
+        device->sync_staging = ggml_vk_create_buffer_check(device, size,
             vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
             vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
     }
@@ -2383,7 +2444,7 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
     // Check if src is pinned memory
     vk_buffer buf;
     size_t buf_offset;
-    ggml_vk_host_get(ctx, tensor->data, buf, buf_offset);
+    ggml_vk_host_get(ctx->device, tensor->data, buf, buf_offset);
 
     const uint64_t ne0 = tensor->ne[0];
     const uint64_t ne1 = tensor->ne[1];
@@ -2441,9 +2502,9 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
     if (ctx->staging->size < ctx->staging_offset + copy_size) {
         if (sync_staging) {
             // Create temporary larger buffer
-            ggml_vk_ensure_sync_staging_buffer(ctx, copy_size);
+            ggml_vk_ensure_sync_staging_buffer(ctx->device, copy_size);
 
-            staging = ctx->sync_staging;
+            staging = ctx->device->sync_staging;
             staging_offset = 0;
         } else {
             GGML_ASSERT(false);
@@ -2477,11 +2538,8 @@ static void ggml_vk_buffer_write_nc_async(ggml_backend_vk_context * ctx, vk_cont
     }
 }
 
-static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, bool sync_staging = false) {
+static void ggml_vk_buffer_write_2d_async(vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_2d_async(" << width << ", " << height << ")");
-    // Make sure ctx owns the buffer
-    GGML_ASSERT(dst->ctx == ctx);
-
     // Buffer is already mapped
     if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
         std::cerr << "ggml_vulkan: buffer_write_async dst buffer is host_visible. Use synchronous write." << std::endl;
@@ -2490,7 +2548,7 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont
     // Check if src is pinned memory
     vk_buffer buf = nullptr;
     size_t buf_offset;
-    ggml_vk_host_get(ctx, src, buf, buf_offset);
+    ggml_vk_host_get(dst->device, src, buf, buf_offset);
 
     if (buf != nullptr) {
         // Memory is pinned, use as staging buffer
@@ -2516,14 +2574,12 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont
     VK_LOG_DEBUG("STAGING");
 
     // Staging buffer required
-    vk_buffer staging = ctx->staging;
-    size_t staging_offset = ctx->staging_offset;
     const size_t copy_size = width*height;
-    if (ctx->staging == nullptr || ctx->staging->size < ctx->staging_offset + copy_size) {
+    if (staging_buffer == nullptr || staging_buffer->size < staging_offset + copy_size) {
         if (sync_staging) {
-            ggml_vk_ensure_sync_staging_buffer(ctx, copy_size);
+            ggml_vk_ensure_sync_staging_buffer(dst->device, copy_size);
 
-            staging = ctx->sync_staging;
+            staging_buffer = dst->device->sync_staging;
             staging_offset = 0;
         } else {
             GGML_ASSERT(false);
@@ -2536,23 +2592,23 @@ static void ggml_vk_buffer_write_2d_async(ggml_backend_vk_context * ctx, vk_cont
         copy_size};
 
     ggml_vk_sync_buffers(subctx);
-    vkCmdCopyBuffer(subctx->s->buffer, staging->buffer, dst->buffer, 1, &buf_copy);
+    vkCmdCopyBuffer(subctx->s->buffer, staging_buffer->buffer, dst->buffer, 1, &buf_copy);
 
     if (width == spitch) {
-        deferred_memcpy((uint8_t *)staging->ptr + staging_offset, src, width * height, &subctx->in_memcpys);
+        deferred_memcpy((uint8_t *)staging_buffer->ptr + staging_offset, src, width * height, &subctx->in_memcpys);
     } else {
         for (size_t i = 0; i < height; i++) {
-            deferred_memcpy((uint8_t *)staging->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys);
+            deferred_memcpy((uint8_t *)staging_buffer->ptr + staging_offset + i * width, (const uint8_t *) src + i * spitch, width, &subctx->in_memcpys);
         }
     }
 }
 
-static void ggml_vk_buffer_write_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, bool sync_staging = false) {
+static void ggml_vk_buffer_write_async(vk_context * subctx, vk_buffer& dst, size_t offset, const void * src, size_t size, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_async(" << size << ")");
-    return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, size, size, 1, sync_staging);
+    return ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, size, size, 1, staging_buffer, staging_offset, sync_staging);
 }
 
-static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) {
+static void ggml_vk_buffer_write_2d(vk_buffer& dst, size_t offset, const void * src, size_t spitch, size_t width, size_t height) {
     VK_LOG_DEBUG("ggml_vk_buffer_write_2d(" << width << ", " << height << ")");
     // Buffer is already mapped
     if(dst->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
@@ -2562,38 +2618,38 @@ static void ggml_vk_buffer_write_2d(ggml_backend_vk_context * ctx, vk_buffer& ds
             memcpy((uint8_t *)dst->ptr + offset + i * width, (const uint8_t *) src + i * spitch, width);
         }
     } else {
-        vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-        ggml_vk_ctx_begin(ctx, subctx);
-        ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, src, spitch, width, height, true);
+        vk_context * subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue);
+        ggml_vk_ctx_begin(dst->device, subctx);
+        ggml_vk_buffer_write_2d_async(subctx, dst, offset, src, spitch, width, height, nullptr, 0, true);
         ggml_vk_ctx_end(subctx);
 
         for (auto& cpy : subctx->in_memcpys) {
             memcpy(cpy.dst, cpy.src, cpy.n);
         }
 
-        ggml_vk_submit(subctx, ctx->fence);
-        VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences");
-        ctx->device->device.resetFences({ ctx->fence });
+        ggml_vk_submit(subctx, dst->device->fence);
+        VK_CHECK(dst->device->device.waitForFences({ dst->device->fence }, true, UINT64_MAX), "vk_buffer_write_2d waitForFences");
+        dst->device->device.resetFences({ dst->device->fence });
+
+        delete subctx;
     }
 }
 
-static void ggml_vk_buffer_write(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, const void * src, size_t size) {
+static void ggml_vk_buffer_write(vk_buffer& dst, size_t offset, const void * src, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_write(" << size << ")");
-    ggml_vk_buffer_write_2d(ctx, dst, offset, src, 0, size, 1);
+    ggml_vk_buffer_write_2d(dst, offset, src, 0, size, 1);
 }
 
-static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, bool sync_staging = false) {
+static void ggml_vk_buffer_read_2d_async(vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t spitch, size_t dpitch, size_t width, size_t height, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) {
     VK_LOG_DEBUG("ggml_vk_buffer_read_2d_async(offset=" << offset << ", width=" << width << ", height=" << height << ")");
     GGML_ASSERT(width > 0);
     GGML_ASSERT(height > 0);
     GGML_ASSERT(src != nullptr);
-    // Make sure ctx owns the buffer
-    GGML_ASSERT(src->ctx == ctx);
 
     // Check if dst is pinned memory
     vk_buffer buf = nullptr;
     size_t buf_offset;
-    ggml_vk_host_get(ctx, dst, buf, buf_offset);
+    ggml_vk_host_get(src->device, dst, buf, buf_offset);
 
     std::vector<vk::BufferCopy> slices(1);
     if (width == spitch && width == dpitch) {
@@ -2620,55 +2676,56 @@ static void ggml_vk_buffer_read_2d_async(ggml_backend_vk_context * ctx, vk_conte
     VK_LOG_DEBUG("STAGING");
 
     // Fall back to staging buffer
-    vk_buffer staging = ctx->staging;
     const size_t copy_size = dpitch * height;
-    if (ctx->staging == nullptr || ctx->staging->size < ctx->staging_offset + copy_size) {
+    if (staging_buffer == nullptr || staging_buffer->size < staging_offset + copy_size) {
         if (sync_staging) {
             // Create temporary larger buffer
-            ggml_vk_ensure_sync_staging_buffer(ctx, copy_size);
+            ggml_vk_ensure_sync_staging_buffer(src->device, copy_size);
 
-            staging = ctx->sync_staging;
+            staging_buffer = src->device->sync_staging;
         } else {
             GGML_ASSERT(false);
         }
     }
 
     ggml_vk_sync_buffers(subctx);
-    subctx->s->buffer.copyBuffer(src->buffer, staging->buffer, slices);
+    subctx->s->buffer.copyBuffer(src->buffer, staging_buffer->buffer, slices);
 
-    deferred_memcpy(dst, staging->ptr, copy_size, &subctx->out_memcpys);
+    deferred_memcpy(dst, staging_buffer->ptr, copy_size, &subctx->out_memcpys);
 }
 
-static void ggml_vk_buffer_read_async(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t size, bool sync_staging = false) {
-    return ggml_vk_buffer_read_2d_async(ctx, subctx, src, offset, dst, size, size, size, 1, sync_staging);
+static void ggml_vk_buffer_read_async(vk_context * subctx, vk_buffer& src, size_t offset, void * dst, size_t size, vk_buffer staging_buffer, size_t staging_offset, bool sync_staging = false) {
+    return ggml_vk_buffer_read_2d_async(subctx, src, offset, dst, size, size, size, 1, staging_buffer, staging_offset, sync_staging);
 }
 
-static void ggml_vk_buffer_read(ggml_backend_vk_context * ctx, vk_buffer& src, size_t offset, void * dst, size_t size) {
+static void ggml_vk_buffer_read(vk_buffer& src, size_t offset, void * dst, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_read(" << offset << ", " << size << ")");
     if(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostVisible) {
         GGML_ASSERT(src->memory_property_flags & vk::MemoryPropertyFlagBits::eHostCoherent);
 
         memcpy(dst, (uint8_t *) src->ptr + offset, size);
     } else {
-        vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-        ggml_vk_ctx_begin(ctx, subctx);
-        ggml_vk_buffer_read_async(ctx, subctx, src, offset, dst, size, true);
+        vk_context * subctx = ggml_vk_create_temporary_context(src->device->transfer_queue);
+        ggml_vk_ctx_begin(src->device, subctx);
+        ggml_vk_buffer_read_async(subctx, src, offset, dst, size, nullptr, 0, true);
         ggml_vk_ctx_end(subctx);
 
-        ggml_vk_submit(subctx, ctx->fence);
-        VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences");
-        ctx->device->device.resetFences({ ctx->fence });
+        ggml_vk_submit(subctx, src->device->fence);
+        VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_read waitForFences");
+        src->device->device.resetFences({ src->device->fence });
 
         for (auto& cpy : subctx->out_memcpys) {
             memcpy(cpy.dst, cpy.src, cpy.n);
         }
+
+        delete subctx;
     }
 }
 
 static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_copy_async(" << size << ")");
-    // Make sure both buffers are on same ctx
-    GGML_ASSERT(src->ctx == dst->ctx);
+    // Make sure both buffers are on same device
+    GGML_ASSERT(src->device == dst->device);
 
     VkBufferCopy bc{ src_offset, dst_offset, size };
 
@@ -2676,101 +2733,46 @@ static void ggml_vk_buffer_copy_async(vk_context * ctx, vk_buffer& dst, size_t d
 }
 
 static void ggml_vk_buffer_copy(vk_buffer& dst, size_t dst_offset, vk_buffer& src, size_t src_offset, size_t size) {
-    if (src->ctx == dst->ctx) {
-    VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")");
+    if (src->device == dst->device) {
+        VK_LOG_DEBUG("ggml_vk_buffer_copy(SINGLE_DEVICE, " << size << ")");
         // Copy within the device
-        ggml_backend_vk_context * ctx = src->ctx;
-
-        vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-        ggml_vk_ctx_begin(ctx, subctx);
+        vk_context * subctx = ggml_vk_create_temporary_context(src->device->transfer_queue);
+        ggml_vk_ctx_begin(src->device, subctx);
         ggml_vk_buffer_copy_async(subctx, dst, dst_offset, src, src_offset, size);
         ggml_vk_ctx_end(subctx);
-        ggml_vk_submit(subctx, ctx->fence);
-        VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences");
-        ctx->device->device.resetFences({ ctx->fence });
-    } else {
-    VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")");
-        // Copy device to device
-        ggml_backend_vk_context * src_ctx = src->ctx;
-        ggml_backend_vk_context * dst_ctx = dst->ctx;
+        ggml_vk_submit(subctx, src->device->fence);
+        VK_CHECK(src->device->device.waitForFences({ src->device->fence }, true, UINT64_MAX), "vk_buffer_copy waitForFences");
+        src->device->device.resetFences({ src->device->fence });
 
-        ggml_vk_ensure_sync_staging_buffer(src_ctx, size);
-        ggml_vk_ensure_sync_staging_buffer(dst_ctx, size);
+        delete subctx;
+    } else {
+        VK_LOG_DEBUG("ggml_vk_buffer_copy(MULTI_DEVICE, " << size << ")");
+        // Copy device to device
+        ggml_vk_ensure_sync_staging_buffer(src->device, size);
+        ggml_vk_ensure_sync_staging_buffer(dst->device, size);
 
         // Copy to src staging buffer
-        ggml_vk_buffer_copy(src_ctx->sync_staging, 0, src, src_offset, size);
+        ggml_vk_buffer_copy(src->device->sync_staging, 0, src, src_offset, size);
         // memcpy to dst staging buffer
-        memcpy(dst_ctx->sync_staging->ptr, src_ctx->sync_staging->ptr, size);
+        memcpy(dst->device->sync_staging->ptr, src->device->sync_staging->ptr, size);
         // Copy to dst buffer
-        ggml_vk_buffer_copy(dst, dst_offset, dst_ctx->sync_staging, 0, size);
+        ggml_vk_buffer_copy(dst, dst_offset, dst->device->sync_staging, 0, size);
     }
 }
 
-static void ggml_vk_buffer_memset(ggml_backend_vk_context * ctx, vk_buffer& dst, size_t offset, uint32_t c, size_t size) {
+static void ggml_vk_buffer_memset(vk_buffer& dst, size_t offset, uint32_t c, size_t size) {
     VK_LOG_DEBUG("ggml_vk_buffer_memset(" << offset << ", " << c << ", " << size << ")");
-    // Make sure ctx owns the buffer
-    GGML_ASSERT(dst->ctx == ctx);
 
-    vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-    ggml_vk_ctx_begin(ctx, subctx);
+    vk_context * subctx = ggml_vk_create_temporary_context(dst->device->transfer_queue);
+    ggml_vk_ctx_begin(dst->device, subctx);
     subctx->s->buffer.fillBuffer(dst->buffer, offset, size, c);
     ggml_vk_ctx_end(subctx);
 
-    ggml_vk_submit(subctx, ctx->fence);
-    VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "vk_memset waitForFences");
-    ctx->device->device.resetFences({ ctx->fence });
-}
+    ggml_vk_submit(subctx, dst->device->fence);
+    VK_CHECK(dst->device->device.waitForFences({ dst->device->fence }, true, UINT64_MAX), "vk_memset waitForFences");
+    dst->device->device.resetFences({ dst->device->fence });
 
-static void ggml_vk_h2d_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& dst, size_t offset, const ggml_tensor * src, uint64_t i3, uint64_t i2, uint64_t i1) {
-    VK_LOG_DEBUG("ggml_vk_h2d_tensor_2d(dst=" << dst << ", offset=" << offset << ", src=" << src << ", i3=" << i3 << ", i2=" << i2 << ", i1=" << i1 << ")");
-    const uint64_t ne0 = src->ne[0];
-    const uint64_t ne1 = src->ne[1];
-    const uint64_t nb0 = src->nb[0];
-    const uint64_t nb1 = src->nb[1];
-    const uint64_t nb2 = src->nb[2];
-    const uint64_t nb3 = src->nb[3];
-    const enum ggml_type type = src->type;
-    const size_t ts = ggml_type_size(type);
-    const size_t bs = ggml_blck_size(type);
-    const size_t row_length = ts*ne0/bs;
-
-    const void * x = (const void *) ((const char *) src->data + i2*nb2 + i3*nb3);
-    if (nb0 == ts && nb1 == row_length) {
-        return ggml_vk_buffer_write_async(ctx, subctx, dst, offset, x, i1*nb1);
-    }
-    if (nb0 == ts && (i1 == ne1 || !ggml_is_permuted(src))) {
-        return ggml_vk_buffer_write_2d_async(ctx, subctx, dst, offset, x, nb1, row_length, i1);
-    }
-
-    GGML_ASSERT(i3 == 0);
-    GGML_ASSERT(i2 == 0);
-    GGML_ASSERT(i1 == (uint64_t) ggml_nrows(src));
-
-    return ggml_vk_buffer_write_nc_async(ctx, subctx, dst, offset, src);
-}
-
-static void ggml_vk_d2h_tensor_2d(ggml_backend_vk_context * ctx, vk_context * subctx, vk_buffer& src, size_t offset, const ggml_tensor * dst) {
-    VK_LOG_DEBUG("ggml_vk_d2h_tensor_2d()");
-    const uint64_t ne0 = dst->ne[0];
-    const uint64_t ne1 = dst->ne[1];
-    const uint64_t ne2 = dst->ne[2];
-    const uint64_t ne3 = dst->ne[3];
-    const uint64_t nb0 = dst->nb[0];
-    const uint64_t nb1 = dst->nb[1];
-    // const uint64_t nb2 = dst->nb[2];
-    // const uint64_t nb3 = dst->nb[3];
-    const enum ggml_type type = dst->type;
-    const size_t ts = ggml_type_size(type);
-    const size_t bs = ggml_blck_size(type);
-    const size_t row_length = ts*ne0/bs;
-
-    if (ggml_is_contiguous(dst)) {
-        return ggml_vk_buffer_read_async(ctx, subctx, src, offset, dst->data, ne1*nb1*ne2*ne3);
-    }
-    if (nb0 == ts) {
-        return ggml_vk_buffer_read_2d_async(ctx, subctx, src, offset, dst->data, nb1, nb1, row_length, ne1*ne2*ne3);
-    }
-    GGML_ASSERT(false);
+    delete subctx;
 }
 
 static uint32_t ggml_vk_guess_split_k(int m, int n, int k) {
@@ -2948,8 +2950,8 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
     bool src1_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
     }
@@ -3041,15 +3043,15 @@ static void ggml_vk_mul_mat_q_f16(ggml_backend_vk_context * ctx, vk_context * su
     GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr);  // NOLINT
 
     // Allocate descriptor sets
-    ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1);
     if (qx_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1);
     }
     if (qy_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, 1);
     }
     if (split_k > 1) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_matmul_split_k_reduce, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_matmul_split_k_reduce, 1);
     }
 
     if (x_non_contig) {
@@ -3125,8 +3127,8 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
     bool src1_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
     }
@@ -3201,12 +3203,12 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
 
     // Allocate descriptor sets
     if (qx_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1);
     }
     if (qy_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13);
     }
-    ggml_pipeline_allocate_descriptor_sets(ctx, dmmv, ne12 * ne13);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, dmmv, ne12 * ne13);
 
     if (x_non_contig) {
         GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, ctx->device->properties.limits.minStorageBufferOffsetAlignment));
@@ -3228,6 +3230,16 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
         stride_batch_y = src1->nb[0] / ggml_type_size(src1->type);
     }
 
+    const uint32_t max_groups_x = ctx->device->properties.limits.maxComputeWorkGroupCount[0];
+
+    uint32_t groups_x = ne01;
+    uint32_t groups_z = 1;
+
+    if (ne01 > max_groups_x) {
+        groups_z = 64;
+        groups_x /= groups_z;
+    }
+
     // compute
     const vk_mat_vec_push_constants pc = {
         (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
@@ -3235,11 +3247,13 @@ static void ggml_vk_mul_mat_vec_q_f16(ggml_backend_vk_context * ctx, vk_context
         (uint32_t)ne02, (uint32_t)ne12, (uint32_t)r2, (uint32_t)r3,
     };
     ggml_vk_sync_buffers(subctx);
-    ggml_vk_dispatch_pipeline(ctx, subctx, dmmv, { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} }, sizeof(vk_mat_vec_push_constants), &pc, { (uint32_t)ne01, (uint32_t)(ne12 * ne13), 1});
+    ggml_vk_dispatch_pipeline(ctx, subctx, dmmv,
+                              { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23} },
+                              sizeof(vk_mat_vec_push_constants), &pc, { groups_x, (uint32_t)(ne12 * ne13), groups_z });
 }
 
 static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
-    VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32((" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
+    VK_LOG_DEBUG("ggml_vk_mul_mat_p021_f16_f32(" << src0 << ", name=" << src0->name << ", type=" << src0->type << ", ne0=" << src0->ne[0] << ", ne1=" << src0->ne[1] << ", ne2=" << src0->ne[2] << ", ne3=" << src0->ne[3] << ", nb0=" << src0->nb[0] << ", nb1=" << src0->nb[1] << ", nb2=" << src0->nb[2] << ", nb3=" << src0->nb[3];
     std::cerr << "), (" << src1 << ", name=" << src1->name << ", type=" << src1->type << ", ne0=" << src1->ne[0] << ", ne1=" << src1->ne[1] << ", ne2=" << src1->ne[2] << ", ne3=" << src1->ne[3] << ", nb0=" << src1->nb[0] << ", nb1=" << src1->nb[1] << ", nb2=" << src1->nb[2] << ", nb3=" << src1->nb[3];
     std::cerr << "), (" << dst << ", name=" << dst->name << ", type=" << dst->type << ", ne0=" << dst->ne[0] << ", ne1=" << dst->ne[1] << ", ne2=" << dst->ne[2] << ", ne3=" << dst->ne[3] << ", nb0=" << dst->nb[0] << ", nb1=" << dst->nb[1] << ", nb2=" << dst->nb[2] << ", nb3=" << dst->nb[3] << "),)");
     GGML_ASSERT(ggml_is_permuted(src0) && ggml_is_permuted(src1));
@@ -3270,7 +3284,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
     bool src1_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
         src1_uma = d_Qy != nullptr;
     }
 
@@ -3295,7 +3309,7 @@ static void ggml_vk_mul_mat_vec_p021_f16_f32(ggml_backend_vk_context * ctx, vk_c
     }
 
     // Allocate descriptor sets
-    ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, 1);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_mul_mat_vec_p021_f16_f32, 1);
 
     const uint64_t qy_buffer_offset = (qy_buf_offset / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
     const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset;
@@ -3344,7 +3358,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
     bool src1_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
         src1_uma = d_Qy != nullptr;
     }
 
@@ -3370,7 +3384,7 @@ static void ggml_vk_mul_mat_vec_nc_f16_f32(ggml_backend_vk_context * ctx, vk_con
     }
 
     // Allocate descriptor sets
-    ggml_pipeline_allocate_descriptor_sets(ctx, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, 1);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, ctx->device->pipeline_mul_mat_vec_nc_f16_f32, 1);
 
     const uint64_t qy_buffer_offset = (qy_buf_offset / ctx->device->properties.limits.minStorageBufferOffsetAlignment) * ctx->device->properties.limits.minStorageBufferOffsetAlignment;
     const uint64_t qy_shader_offset = qy_buf_offset - qy_buffer_offset;
@@ -3448,9 +3462,9 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
     bool ids_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
-        ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset);
+        ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, ids->data, d_ids, ids_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
         ids_uma = d_ids != nullptr;
@@ -3545,12 +3559,12 @@ static void ggml_vk_mul_mat_id_q_f16(ggml_backend_vk_context * ctx, vk_context *
     GGML_ASSERT(!qy_needs_dequant || to_fp16_vk_1 != nullptr);  // NOLINT
 
     // Allocate descriptor sets
-    ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1);
     if (qx_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1);
     }
     if (qy_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, 1);
     }
 
     if (x_non_contig) {
@@ -3634,9 +3648,9 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     bool ids_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src0->data, d_Qx, qx_buf_offset);
-        ggml_vk_host_get(ctx, src1->data, d_Qy, qy_buf_offset);
-        ggml_vk_host_get(ctx, ids->data, d_ids, ids_buf_offset);
+        ggml_vk_host_get(ctx->device, src0->data, d_Qx, qx_buf_offset);
+        ggml_vk_host_get(ctx->device, src1->data, d_Qy, qy_buf_offset);
+        ggml_vk_host_get(ctx->device, ids->data, d_ids, ids_buf_offset);
         src0_uma = d_Qx != nullptr;
         src1_uma = d_Qy != nullptr;
         ids_uma = d_ids != nullptr;
@@ -3718,12 +3732,12 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
 
     // Allocate descriptor sets
     if (qx_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_0, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_0, 1);
     }
     if (qy_needs_dequant) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, to_fp16_vk_1, y_non_contig ? 1 : ne12 * ne13);
     }
-    ggml_pipeline_allocate_descriptor_sets(ctx, dmmv, ne12 * ne13);
+    ggml_pipeline_allocate_descriptor_sets(ctx->device, dmmv, ne12 * ne13);
 
     if (x_non_contig) {
         GGML_ASSERT(x_sz == ggml_vk_align_size(ggml_type_size(src0->type) * x_ne, ctx->device->properties.limits.minStorageBufferOffsetAlignment));
@@ -3740,6 +3754,16 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
         stride_batch_y = src1->nb[0] / ggml_type_size(src1->type);
     }
 
+    const uint32_t max_groups_x = ctx->device->properties.limits.maxComputeWorkGroupCount[0];
+
+    uint32_t groups_x = ne01;
+    uint32_t groups_z = 1;
+
+    if (ne01 > max_groups_x) {
+        groups_z = 64;
+        groups_x /= groups_z;
+    }
+
     // compute
     const vk_mat_vec_id_push_constants pc = {
         (uint32_t)ne00, (uint32_t)ne10, (uint32_t)ne10, (uint32_t)ne01,
@@ -3749,7 +3773,7 @@ static void ggml_vk_mul_mat_vec_id_q_f16(ggml_backend_vk_context * ctx, vk_conte
     ggml_vk_sync_buffers(subctx);
     ggml_vk_dispatch_pipeline(ctx, subctx, dmmv,
         { { d_X, x_buf_offset, x_sz * ne02 * ne03 }, { d_Y, y_buf_offset, y_sz * ne12 * ne13 }, { d_D, d_buf_offset, d_sz * ne22 * ne23}, { d_ids, ids_buf_offset, ids_sz } },
-        sizeof(vk_mat_vec_id_push_constants), &pc, { (uint32_t)ne01, (uint32_t)nei0, 1 });
+        sizeof(vk_mat_vec_id_push_constants), &pc, { groups_x, (uint32_t)nei0, groups_z });
 }
 
 static void ggml_vk_mul_mat_id(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, const ggml_tensor * src2, ggml_tensor * dst) {
@@ -4062,14 +4086,14 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
     bool src2_uma = false;
 
     if (ctx->device->uma) {
-        ggml_vk_host_get(ctx, src0->data, d_X, x_buf_offset);
+        ggml_vk_host_get(ctx->device, src0->data, d_X, x_buf_offset);
         src0_uma = d_X != nullptr;
         if (use_src1) {
-            ggml_vk_host_get(ctx, src1->data, d_Y, y_buf_offset);
+            ggml_vk_host_get(ctx->device, src1->data, d_Y, y_buf_offset);
             src1_uma = d_Y != nullptr;
         }
         if (use_src2) {
-            ggml_vk_host_get(ctx, src2->data, d_Z, z_buf_offset);
+            ggml_vk_host_get(ctx->device, src2->data, d_Z, z_buf_offset);
             src2_uma = d_Z != nullptr;
         }
     }
@@ -4129,7 +4153,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
 
     // Single call if dimension 2 is contiguous
     if (op_supports_incontiguous || (ggml_is_contiguous(src0) && (src1 == nullptr || ggml_is_contiguous(src1)))) {
-        ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, 1);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, 1);
 
         switch (dst->op) {
         case GGML_OP_NORM:
@@ -4205,7 +4229,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context * subctx, c
         GGML_ASSERT(op != GGML_OP_ARGSORT);
         GGML_ASSERT(!use_src2);
 
-        ggml_pipeline_allocate_descriptor_sets(ctx, pipeline, ne02 * ne03);
+        ggml_pipeline_allocate_descriptor_sets(ctx->device, pipeline, ne02 * ne03);
 
         switch (dst->op) {
         case GGML_OP_NORM:
@@ -4810,101 +4834,6 @@ static void ggml_vk_print_tensor_area(const ggml_tensor * tensor, int i0, int i1
     }
 }
 
-static void ggml_vk_test_h2d_nc(ggml_backend_vk_context * ctx, size_t ne0, size_t ne1, size_t ne2, size_t ne3) {
-    const size_t ne = ne0 * ne1 * ne2 * ne3;
-
-    ggml_init_params iparams = {
-        /*.mem_size   =*/ 1024*1024*1024,
-        /*.mem_buffer =*/ NULL,
-        /*.no_alloc   =*/ true,
-    };
-
-    ggml_context * ggml_ctx = ggml_init(iparams);
-
-    ggml_tensor * tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne2, ne1, ne3);  // NOLINT
-    ggml_tensor * result_tensor = ggml_new_tensor_4d(ggml_ctx, GGML_TYPE_F32, ne0, ne1, ne2, ne3);
-
-    float * data = (float *) ggml_vk_host_malloc(ctx, ggml_nbytes(tensor));
-    tensor->data = data;
-
-    float * result_data = (float *) malloc(ggml_nbytes(tensor));
-    result_tensor->data = result_data;
-
-    // Permute
-    {
-        size_t tmp = tensor->nb[2];
-        tensor->nb[2] = tensor->nb[1];
-        tensor->nb[1] = tmp;
-
-        tensor->ne[2] = ne2;
-        tensor->ne[1] = ne1;
-    }
-
-    for (size_t i = 0; i < ne; i++) {
-        data[i] = (rand() / (float)RAND_MAX) * 2.0f - 1.0f;
-    }
-
-    vk_context * subctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
-    ggml_vk_ctx_begin(ctx, subctx);
-
-    vk_buffer buffer = ggml_vk_create_buffer_check(ctx, ggml_nbytes(tensor), vk::MemoryPropertyFlagBits::eDeviceLocal);
-
-    ggml_vk_h2d_tensor_2d(ctx, subctx, buffer, 0, tensor, 0, 0, ggml_nrows(tensor));
-
-    ggml_vk_ctx_end(subctx);
-    ggml_vk_submit(subctx, ctx->fence);
-    VK_CHECK(ctx->device->device.waitForFences({ ctx->fence }, true, UINT64_MAX), "ggml_vk_test_h2d_nc waitForFences");
-    ctx->device->device.resetFences({ ctx->fence });
-
-    ggml_vk_buffer_read(ctx, buffer, 0, result_data, ggml_nbytes(tensor));
-
-    double avg_err = 0.0;
-    int first_err_i0 = -1;
-    int first_err_i1 = -1;
-    int first_err_i2 = -1;
-    int first_err_i3 = -1;
-
-    for (size_t i3 = 0; i3 < ne3; i3++) {
-        for (size_t i2 = 0; i2 < ne2; i2++) {
-            for (size_t i1 = 0; i1 < ne1; i1++) {
-                for (size_t i0 = 0; i0 < ne0; i0++) {
-                    float correct = *(float *) ((char *) data + i3*tensor->nb[3] + i2*tensor->nb[2] + i1*tensor->nb[1] + i0*tensor->nb[0]);
-                    float result = *(float *) ((char *) result_data + i3*ne2*ne1*ne0*sizeof(float) + i2*ne1*ne0*sizeof(float) + i1*ne0*sizeof(float) + i0*sizeof(float));
-                    double err = std::fabs(result - correct);
-
-                    avg_err += err;
-
-                    if (err > 0.05f && first_err_i0 == -1) {
-                        first_err_i0 = i0;
-                        first_err_i1 = i1;
-                        first_err_i2 = i2;
-                        first_err_i3 = i3;
-                    }
-                }
-            }
-        }
-    }
-
-    avg_err /= ne;
-
-    std::cerr << "TEST nc copy ne0=" << ne0 << " ne1=" << ne1 << " ne2=" << ne2 << " ne3=" << ne3 << " avg_err=" << avg_err << std::endl;
-
-    if (avg_err > 0.1) {
-        std::cerr << "i0 = " << first_err_i0 << " i1 = " << first_err_i1 << " i2 = " << first_err_i2 << " i3 = " << first_err_i3 << std::endl;
-        std::cerr << "Actual result: " << std::endl << std::endl;
-        ggml_vk_print_tensor_area(result_tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3);
-        std::cerr << "Expected result: " << std::endl << std::endl;
-        ggml_vk_print_tensor_area(tensor, first_err_i0, first_err_i1, first_err_i2, first_err_i3);
-    }
-
-    ggml_free(ggml_ctx);
-
-    ggml_vk_destroy_buffer(buffer);
-
-    ggml_vk_host_free(ctx, data);
-    free(result_data);
-}
-
 static void ggml_vk_test_transfer(ggml_backend_vk_context * ctx, size_t ne, bool pinned) {
     VK_LOG_DEBUG("ggml_vk_test_transfer(" << ne << ")");
     // Check transfers are correct
@@ -5515,7 +5444,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         if (ctx->prealloc_x != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_x);
         }
-        ctx->prealloc_x = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_x);
+        ctx->prealloc_x = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_x);
     }
     if (ctx->prealloc_y == nullptr || (ctx->prealloc_size_y > 0 && ctx->prealloc_y->size < ctx->prealloc_size_y)) {
         VK_LOG_MEMORY("ggml_vk_preallocate_buffers(y_size: " << ctx->prealloc_size_y << ")");
@@ -5523,7 +5452,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         if (ctx->prealloc_y != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_y);
         }
-        ctx->prealloc_y = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_y);
+        ctx->prealloc_y = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_y);
     }
     if (ctx->prealloc_split_k == nullptr || (ctx->prealloc_size_split_k > 0 && ctx->prealloc_split_k->size < ctx->prealloc_size_split_k)) {
         VK_LOG_MEMORY("ggml_vk_preallocate_buffers(split_k_size: " << ctx->prealloc_size_split_k << ")");
@@ -5531,7 +5460,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         if (ctx->prealloc_split_k != nullptr) {
             ggml_vk_destroy_buffer(ctx->prealloc_split_k);
         }
-        ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx, ctx->prealloc_size_split_k);
+        ctx->prealloc_split_k = ggml_vk_create_buffer_device(ctx->device, ctx->prealloc_size_split_k);
     }
     if (ctx->staging == nullptr || (ctx->staging_size > 0 && ctx->staging->size < ctx->staging_size)) {
         VK_LOG_MEMORY("ggml_vk_preallocate_buffers(staging_size: " << ctx->staging_size << ")");
@@ -5539,7 +5468,7 @@ static void ggml_vk_preallocate_buffers(ggml_backend_vk_context * ctx) {
         if (ctx->staging != nullptr) {
             ggml_vk_destroy_buffer(ctx->staging);
         }
-        ctx->staging = ggml_vk_create_buffer_check(ctx, ctx->staging_size,
+        ctx->staging = ggml_vk_create_buffer_check(ctx->device, ctx->staging_size,
             vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent | vk::MemoryPropertyFlagBits::eHostCached,
             vk::MemoryPropertyFlagBits::eHostVisible | vk::MemoryPropertyFlagBits::eHostCoherent);
     }
@@ -5607,7 +5536,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
 
     if (ctx->compute_ctx == nullptr) {
         ctx->compute_ctx = ggml_vk_create_context(ctx, ctx->device->compute_queue);
-        ggml_vk_ctx_begin(ctx, ctx->compute_ctx);
+        ggml_vk_ctx_begin(ctx->device, ctx->compute_ctx);
     }
 
     switch (node->op) {
@@ -5825,8 +5754,8 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
         ggml_pipeline_cleanup(pl);
     }
 
-    ggml_vk_queue_cleanup(ctx, ctx->device->compute_queue);
-    ggml_vk_queue_cleanup(ctx, ctx->device->transfer_queue);
+    ggml_vk_queue_cleanup(ctx->device, ctx->device->compute_queue);
+    ggml_vk_queue_cleanup(ctx->device, ctx->device->transfer_queue);
 
     for (size_t i = 0; i < ctx->gc.semaphores.size(); i++) {
         ctx->device->device.destroySemaphore({ ctx->gc.semaphores[i].s });
@@ -5854,14 +5783,13 @@ static void ggml_vk_graph_cleanup(ggml_backend_vk_context * ctx) {
 
 // Clean up on backend free
 static void ggml_vk_cleanup(ggml_backend_vk_context * ctx) {
-    VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->idx << ")");
+    VK_LOG_DEBUG("ggml_vk_cleanup(" << ctx->name << ")");
     ggml_vk_graph_cleanup(ctx);
 
     ggml_vk_destroy_buffer(ctx->prealloc_x);
     ggml_vk_destroy_buffer(ctx->prealloc_y);
     ggml_vk_destroy_buffer(ctx->prealloc_split_k);
     ggml_vk_destroy_buffer(ctx->staging);
-    ggml_vk_destroy_buffer(ctx->sync_staging);
 
     for (auto& buffer : ctx->buffer_pool) {
         ggml_vk_destroy_buffer(buffer);
@@ -5906,14 +5834,14 @@ GGML_CALL static void ggml_vk_get_device_description(int device, char * descript
 static void * const vk_ptr_base = (void *)(uintptr_t) 0x1000;  // NOLINT
 
 struct ggml_backend_vk_buffer_context {
-    ggml_backend_vk_context * ctx;
+    vk_device_ref device;
     vk_buffer dev_buffer;
     ggml_tensor_extra_gpu * temp_tensor_extras = nullptr;
     size_t temp_tensor_extra_index = 0;
     std::string name;
 
-    ggml_backend_vk_buffer_context(ggml_backend_vk_context * ctx, vk_buffer&& dev_buffer, std::string& name) :
-        ctx(ctx),
+    ggml_backend_vk_buffer_context(vk_device_ref device, vk_buffer&& dev_buffer, std::string& name) :
+        device(device),
         dev_buffer(dev_buffer),
         name(name) {
     }
@@ -5979,24 +5907,24 @@ GGML_CALL static void ggml_backend_vk_buffer_init_tensor(ggml_backend_buffer_t b
 
 GGML_CALL static void ggml_backend_vk_buffer_set_tensor(ggml_backend_buffer_t buffer, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
     VK_LOG_DEBUG("ggml_backend_vk_buffer_set_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
-    ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
-
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_write(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
+    ggml_vk_buffer_write(buf, extra->offset + tensor->view_offs + offset, data, size);
+
+    GGML_UNUSED(buffer);
 }
 
 GGML_CALL static void ggml_backend_vk_buffer_get_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
     VK_LOG_DEBUG("ggml_backend_vk_buffer_get_tensor(" << buffer << ", " << tensor << ", " << data << ", " << offset << ", " << size << ")");
-    ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
-
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_read(ctx->ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
+    ggml_vk_buffer_read(buf, extra->offset + tensor->view_offs + offset, data, size);
+
+    GGML_UNUSED(buffer);
 }
 
 GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t buffer, const ggml_tensor * src, ggml_tensor * dst) {
@@ -6019,7 +5947,7 @@ GGML_CALL static bool ggml_backend_vk_buffer_cpy_tensor(ggml_backend_buffer_t bu
 GGML_CALL static void ggml_backend_vk_buffer_clear(ggml_backend_buffer_t buffer, uint8_t value) {
     ggml_backend_vk_buffer_context * ctx = (ggml_backend_vk_buffer_context *)buffer->context;
 
-    ggml_vk_buffer_memset(ctx->ctx, ctx->dev_buffer, 0, value, buffer->size);
+    ggml_vk_buffer_memset(ctx->dev_buffer, 0, value, buffer->size);
 }
 
 static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = {
@@ -6035,11 +5963,6 @@ static ggml_backend_buffer_i ggml_backend_vk_buffer_interface = {
 };
 
 // vk buffer type
-struct ggml_backend_vk_buffer_type_context {
-    std::string name;
-    ggml_backend_vk_context * ctx;
-};
-
 GGML_CALL static const char * ggml_backend_vk_buffer_type_name(ggml_backend_buffer_type_t buft) {
     ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *)buft->context;
 
@@ -6052,24 +5975,24 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_buffer_type_alloc_buffer(
 
     vk_buffer dev_buffer = nullptr;
     try {
-        dev_buffer = ggml_vk_create_buffer_device(ctx->ctx, size);
+        dev_buffer = ggml_vk_create_buffer_device(ctx->device, size);
     } catch (const vk::SystemError& e) {
         return nullptr;
     }
 
-    ggml_backend_vk_buffer_context * bufctx = new ggml_backend_vk_buffer_context(ctx->ctx, std::move(dev_buffer), ctx->name);
+    ggml_backend_vk_buffer_context * bufctx = new ggml_backend_vk_buffer_context(ctx->device, std::move(dev_buffer), ctx->name);
 
     return ggml_backend_buffer_init(buft, ggml_backend_vk_buffer_interface, bufctx, size);
 }
 
 GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
     ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context;
-    return ctx->ctx->device->properties.limits.minStorageBufferOffsetAlignment;
+    return ctx->device->properties.limits.minStorageBufferOffsetAlignment;
 }
 
 GGML_CALL static size_t ggml_backend_vk_buffer_type_get_max_size(ggml_backend_buffer_type_t buft) {
     ggml_backend_vk_buffer_type_context * ctx = (ggml_backend_vk_buffer_type_context *) buft->context;
-    return ctx->ctx->device->max_memory_allocation_size;
+    return ctx->device->max_memory_allocation_size;
 }
 
 GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_buffer_type_t buft, const ggml_tensor * tensor) {
@@ -6078,25 +6001,14 @@ GGML_CALL static size_t ggml_backend_vk_buffer_type_get_alloc_size(ggml_backend_
     UNUSED(buft);
 }
 
-static ggml_backend_buffer_type_i ggml_backend_vk_buffer_type_interface = {
-    /* .get_name         = */ ggml_backend_vk_buffer_type_name,
-    /* .alloc_buffer     = */ ggml_backend_vk_buffer_type_alloc_buffer,
-    /* .get_alignment    = */ ggml_backend_vk_buffer_type_get_alignment,
-    /* .get_max_size     = */ ggml_backend_vk_buffer_type_get_max_size,
-    /* .get_alloc_size   = */ ggml_backend_vk_buffer_type_get_alloc_size,
-    /* .is_host          = */ NULL,
-};
-
 GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_buffer_type(size_t dev_num) {
     ggml_vk_instance_init();
 
     VK_LOG_DEBUG("ggml_backend_vk_buffer_type(" << dev_num << ")");
 
-    GGML_ASSERT(dev_num < vk_instance.device_indices.size());
+    vk_device dev = ggml_vk_get_device(dev_num);
 
-    ggml_backend_vk_init(dev_num);
-
-    return &vk_instance.buffer_types[dev_num];
+    return &dev->buffer_type;
 }
 
 // host buffer type
@@ -6115,15 +6027,16 @@ GGML_CALL static const char * ggml_backend_vk_host_buffer_name(ggml_backend_buff
 
 GGML_CALL static void ggml_backend_vk_host_buffer_free_buffer(ggml_backend_buffer_t buffer) {
     VK_LOG_MEMORY("ggml_backend_vk_host_buffer_free_buffer()");
-    ggml_vk_host_free(&vk_instance.contexts[0], buffer->context);
+    ggml_vk_host_free(vk_instance.devices[0], buffer->context);
 }
 
 GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_buffer(ggml_backend_buffer_type_t buft, size_t size) {
     VK_LOG_MEMORY("ggml_backend_vk_host_buffer_type_alloc_buffer(" << size << ")");
+
     size += 32;  // Behave like the CPU buffer type
     void * ptr = nullptr;
     try {
-        ptr = ggml_vk_host_malloc(&vk_instance.contexts[0], size);
+        ptr = ggml_vk_host_malloc(vk_instance.devices[0], size);
     } catch (vk::SystemError& e) {
         std::cerr << "ggml_vulkan: Failed to allocate pinned memory." << std::endl;
         std::cerr << "ggml_vulkan: " << e.what() << std::endl;
@@ -6137,14 +6050,18 @@ GGML_CALL static ggml_backend_buffer_t ggml_backend_vk_host_buffer_type_alloc_bu
     buffer->iface.free_buffer = ggml_backend_vk_host_buffer_free_buffer;
 
     return buffer;
-}
-
-GGML_CALL static size_t ggml_backend_vk_host_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
-    return vk_instance.contexts[0].device->properties.limits.minMemoryMapAlignment;
 
     UNUSED(buft);
 }
 
+GGML_CALL static size_t ggml_backend_vk_host_buffer_type_get_alignment(ggml_backend_buffer_type_t buft) {
+    return vk_instance.devices[0]->properties.limits.minMemoryMapAlignment;
+
+    UNUSED(buft);
+}
+
+// Should be changed to return device-specific host buffer type
+// but that probably requires changes in llama.cpp
 GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() {
     static struct ggml_backend_buffer_type ggml_backend_vk_buffer_type_host = {
         /* .iface    = */ {
@@ -6158,14 +6075,14 @@ GGML_CALL ggml_backend_buffer_type_t ggml_backend_vk_host_buffer_type() {
         /* .context  = */ nullptr,
     };
 
-    if (!vk_instance.contexts[0].initialized) {
-        // Fall back to CPU
-        return ggml_backend_cpu_buffer_type();
-    }
+    // Make sure device 0 is initialized
+    ggml_vk_instance_init();
+    ggml_vk_get_device(0);
 
     return &ggml_backend_vk_buffer_type_host;
 }
 
+
 // backend
 
 GGML_CALL static const char * ggml_backend_vk_name(ggml_backend_t backend) {
@@ -6178,74 +6095,65 @@ GGML_CALL static void ggml_backend_vk_free(ggml_backend_t backend) {
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
     VK_LOG_DEBUG("ggml_backend_vk_free(" << ctx->name << ")");
 
-    size_t idx = ctx->idx;
-
     ggml_vk_cleanup(ctx);
 
-    ctx->device.reset();
-    ctx->initialized = false;
-
-    vk_instance.initialized[idx] = false;
-    vk_instance.backends[idx] = nullptr;
-    memset(&vk_instance.buffer_types[idx], 0, sizeof(ggml_backend_buffer_type));
+    delete ctx;
     delete backend;
 }
 
 GGML_CALL static ggml_backend_buffer_type_t ggml_backend_vk_get_default_buffer_type(ggml_backend_t backend) {
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
 
-    GGML_ASSERT(ctx->initialized);
-
-    return ggml_backend_vk_buffer_type(ctx->idx);
+    return &ctx->device->buffer_type;
 }
 
 GGML_CALL static void ggml_backend_vk_set_tensor_async(ggml_backend_t backend, ggml_tensor * tensor, const void * data, size_t offset, size_t size) {
     VK_LOG_DEBUG("ggml_backend_vk_set_tensor_async(" << size << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-    GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
+    GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
     if (ctx->transfer_ctx == nullptr) {
         // Initialize new transfer context
         ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-        ggml_vk_ctx_begin(ctx, ctx->transfer_ctx);
+        ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx);
     }
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_write_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
+    ggml_vk_buffer_write_async(ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size, ctx->staging, ctx->staging_offset);
 }
 
 GGML_CALL static void ggml_backend_vk_get_tensor_async(ggml_backend_t backend, const ggml_tensor * tensor, void * data, size_t offset, size_t size) {
     VK_LOG_DEBUG("ggml_backend_vk_get_tensor_async(" << size << ")");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-    GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
+    GGML_ASSERT((tensor->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || tensor->buffer->buft == ggml_backend_vk_host_buffer_type()) && "unsupported buffer type");
 
     ggml_tensor_extra_gpu * extra = (ggml_tensor_extra_gpu *) tensor->extra;
 
     if (ctx->transfer_ctx == nullptr) {
         // Initialize new transfer context
         ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-        ggml_vk_ctx_begin(ctx, ctx->transfer_ctx);
+        ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx);
     }
 
     vk_buffer buf = extra->buffer_gpu.lock();
 
-    ggml_vk_buffer_read_async(ctx, ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size);
+    ggml_vk_buffer_read_async(ctx->transfer_ctx, buf, extra->offset + tensor->view_offs + offset, data, size, ctx->staging, ctx->staging_offset);
 }
 
 GGML_CALL static bool ggml_backend_vk_cpy_tensor_async(ggml_backend_t backend, const ggml_tensor * src, ggml_tensor * dst) {
     VK_LOG_DEBUG("ggml_backend_vk_cpy_tensor_async()");
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
-    if ((dst->buffer->buft == ggml_backend_vk_buffer_type(ctx->idx) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) {
+    if ((dst->buffer->buft == ggml_backend_vk_get_default_buffer_type(backend) || dst->buffer->buft == ggml_backend_vk_host_buffer_type()) && ggml_backend_buffer_is_vk(src->buffer)) {
         ggml_tensor_extra_gpu * src_extra = (ggml_tensor_extra_gpu *) src->extra;
         ggml_tensor_extra_gpu * dst_extra = (ggml_tensor_extra_gpu *) dst->extra;
 
         if (ctx->transfer_ctx == nullptr) {
             // Initialize new transfer context
             ctx->transfer_ctx = ggml_vk_create_context(ctx, ctx->device->transfer_queue);
-            ggml_vk_ctx_begin(ctx, ctx->transfer_ctx);
+            ggml_vk_ctx_begin(ctx->device, ctx->transfer_ctx);
         }
 
         vk_buffer src_buf = src_extra->buffer_gpu.lock();
@@ -6464,7 +6372,7 @@ GGML_CALL static bool ggml_backend_vk_supports_buft(ggml_backend_t backend, ggml
     ggml_backend_vk_buffer_type_context * buft_ctx = (ggml_backend_vk_buffer_type_context *)buft->context;
     ggml_backend_vk_context * ctx = (ggml_backend_vk_context *)backend->context;
 
-    return buft_ctx->ctx->idx == ctx->idx;
+    return buft_ctx->device == ctx->device;
 }
 
 // TODO: enable async and synchronize
@@ -6497,28 +6405,17 @@ static ggml_guid_t ggml_backend_vk_guid() {
 }
 
 GGML_CALL ggml_backend_t ggml_backend_vk_init(size_t dev_num) {
-    if (vk_instance.initialized[dev_num]) {
-        return vk_instance.backends[dev_num];
-    }
     VK_LOG_DEBUG("ggml_backend_vk_init(" << dev_num << ")");
 
-    ggml_backend_vk_context * ctx = &vk_instance.contexts[dev_num];
+    ggml_backend_vk_context * ctx = new ggml_backend_vk_context;
     ggml_vk_init(ctx, dev_num);
-    ctx->name = GGML_VK_NAME + std::to_string(dev_num);
-    vk_instance.buffer_types[dev_num] = {
-        /* .iface    = */ ggml_backend_vk_buffer_type_interface,
-        /* .context  = */ new ggml_backend_vk_buffer_type_context{ ctx->name, ctx },
-    };
-    vk_instance.initialized[dev_num] = true;
 
     ggml_backend_t vk_backend = new ggml_backend {
         /* .guid      = */ ggml_backend_vk_guid(),
         /* .interface = */ ggml_backend_vk_interface,
-        /* .context   = */ &vk_instance.contexts[ctx->idx],
+        /* .context   = */ ctx,
     };
 
-    vk_instance.backends[dev_num] = vk_backend;
-
     return vk_backend;
 }
 
diff --git a/vulkan-shaders/mul_mat_vec.comp b/vulkan-shaders/mul_mat_vec.comp
index 292ccfd74..15d2a8063 100644
--- a/vulkan-shaders/mul_mat_vec.comp
+++ b/vulkan-shaders/mul_mat_vec.comp
@@ -13,7 +13,7 @@ layout (constant_id = 0) const uint BLOCK_SIZE = 32;
 shared FLOAT_TYPE tmp[BLOCK_SIZE];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
     const uint tid = gl_LocalInvocationID.x;
 
     uint a_offset, b_offset, d_offset;
diff --git a/vulkan-shaders/mul_mat_vec_q2_k.comp b/vulkan-shaders/mul_mat_vec_q2_k.comp
index 27bf6d51c..4cd97799d 100644
--- a/vulkan-shaders/mul_mat_vec_q2_k.comp
+++ b/vulkan-shaders/mul_mat_vec_q2_k.comp
@@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
 shared FLOAT_TYPE tmp[32];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
 
     uint a_offset, b_offset, d_offset;
     get_offsets(a_offset, b_offset, d_offset);
diff --git a/vulkan-shaders/mul_mat_vec_q3_k.comp b/vulkan-shaders/mul_mat_vec_q3_k.comp
index 7c837fef2..a6e430ea0 100644
--- a/vulkan-shaders/mul_mat_vec_q3_k.comp
+++ b/vulkan-shaders/mul_mat_vec_q3_k.comp
@@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
 shared FLOAT_TYPE tmp[32];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
 
     uint a_offset, b_offset, d_offset;
     get_offsets(a_offset, b_offset, d_offset);
diff --git a/vulkan-shaders/mul_mat_vec_q4_k.comp b/vulkan-shaders/mul_mat_vec_q4_k.comp
index 1566f26d3..75569363c 100644
--- a/vulkan-shaders/mul_mat_vec_q4_k.comp
+++ b/vulkan-shaders/mul_mat_vec_q4_k.comp
@@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
 shared FLOAT_TYPE tmp[32];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
 
     uint a_offset, b_offset, d_offset;
     get_offsets(a_offset, b_offset, d_offset);
diff --git a/vulkan-shaders/mul_mat_vec_q5_k.comp b/vulkan-shaders/mul_mat_vec_q5_k.comp
index 4add64327..9be3645bd 100644
--- a/vulkan-shaders/mul_mat_vec_q5_k.comp
+++ b/vulkan-shaders/mul_mat_vec_q5_k.comp
@@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
 shared FLOAT_TYPE tmp[32];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
 
     uint a_offset, b_offset, d_offset;
     get_offsets(a_offset, b_offset, d_offset);
diff --git a/vulkan-shaders/mul_mat_vec_q6_k.comp b/vulkan-shaders/mul_mat_vec_q6_k.comp
index 8c550e7c3..d610cf030 100644
--- a/vulkan-shaders/mul_mat_vec_q6_k.comp
+++ b/vulkan-shaders/mul_mat_vec_q6_k.comp
@@ -7,7 +7,7 @@ layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
 shared FLOAT_TYPE tmp[32];
 
 void main() {
-    const uint row = gl_WorkGroupID.x;
+    const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
 
     uint a_offset, b_offset, d_offset;
     get_offsets(a_offset, b_offset, d_offset);

From b6b9a8e606da7764bd3649c2ea574979c85abd43 Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Sun, 23 Jun 2024 13:14:45 +0200
Subject: [PATCH 127/131] fix CI failures (#8066)

* test-backend-ops : increase cpy max nmse

* server ci : disable thread sanitizer
---
 .github/workflows/server.yml | 2 +-
 tests/test-backend-ops.cpp   | 4 ++++
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/server.yml b/.github/workflows/server.yml
index 6155e9415..311abf02a 100644
--- a/.github/workflows/server.yml
+++ b/.github/workflows/server.yml
@@ -30,7 +30,7 @@ jobs:
 
     strategy:
       matrix:
-        sanitizer: [ADDRESS, THREAD, UNDEFINED]
+        sanitizer: [ADDRESS, UNDEFINED] # THREAD is broken
         build_type: [RelWithDebInfo]
         include:
           - build_type: Release
diff --git a/tests/test-backend-ops.cpp b/tests/test-backend-ops.cpp
index 7c504e937..1ed74e543 100644
--- a/tests/test-backend-ops.cpp
+++ b/tests/test-backend-ops.cpp
@@ -785,6 +785,10 @@ struct test_cpy : public test_case {
         return VARS_TO_STR3(type_src, type_dst, ne);
     }
 
+    double max_nmse_err() override {
+        return 1e-6;
+    }
+
     size_t op_size(ggml_tensor * t) override {
         return ggml_nbytes(t) + ggml_nbytes(t->src[0]);
     }

From 11318d9aa1f668aa10407a5cb9614371af32f3ce Mon Sep 17 00:00:00 2001
From: Daniel Bevenius <daniel.bevenius@gmail.com>
Date: Sun, 23 Jun 2024 15:39:45 +0200
Subject: [PATCH 128/131] Fix typo in llama_set_embeddings comment (#8077)

---
 llama.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/llama.h b/llama.h
index 05d8b092b..53e06d9db 100644
--- a/llama.h
+++ b/llama.h
@@ -786,7 +786,7 @@ extern "C" {
     // Get the number of threads used for prompt and batch processing (multiple token).
     LLAMA_API uint32_t llama_n_threads_batch(struct llama_context * ctx);
 
-    // Set whether the model is in embeddings model or not
+    // Set whether the model is in embeddings mode or not
     // If true, embeddings will be returned but logits will not
     LLAMA_API void llama_set_embeddings(struct llama_context * ctx, bool embeddings);
 

From 6a2f298bd784403c5c33eebb822217ec5d9b5590 Mon Sep 17 00:00:00 2001
From: Aarni Koskela <akx@iki.fi>
Date: Sun, 23 Jun 2024 18:03:08 +0300
Subject: [PATCH 129/131] server : fix JSON-Scheme typo (#7975)

---
 examples/server/public/index-new.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/server/public/index-new.html b/examples/server/public/index-new.html
index 19c9f643d..5513e9121 100644
--- a/examples/server/public/index-new.html
+++ b/examples/server/public/index-new.html
@@ -634,12 +634,12 @@ return html`
       <div>
         <div class="grammar">
           <label for="template"></label>
-          <textarea id="grammar" name="grammar" placeholder="Use GBNF or JSON-Scheme + Converter" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
+          <textarea id="grammar" name="grammar" placeholder="Use GBNF or JSON Schema + Converter" value="${params.value.grammar}" rows=4 oninput=${updateParams}/>
         </div>
         <div class="grammar-columns">
           <div class="json-schema-controls">
             <input type="text" name="prop-order" placeholder="Order: prop1,prop2,prop3" oninput=${updateGrammarJsonSchemaPropOrder} />
-            <button type="button" class="button-grammar" onclick=${convertJSONSchemaGrammar}>Convert JSON-Scheme</button>
+            <button type="button" class="button-grammar" onclick=${convertJSONSchemaGrammar}>Convert JSON Schema</button>
           </div>
         </div>
       </div>

From e112b610a1a75cb7fa8351e1a933e2e7a755a5ce Mon Sep 17 00:00:00 2001
From: Eddie-Wang <wangjinheng1120@163.com>
Date: Mon, 24 Jun 2024 02:27:57 +0800
Subject: [PATCH 130/131] llama : add support for BitnetForCausalLM (#7931)

* hf bitnet v1

* hf bitnet e2e v2

* finish bitnet e2e

* finish f16 hf bitnet e2e

* remove unsed

* finish bitnet i2 e2e

* move i2s to quantize v1

* move i2 to quantize

* clean code

* clean code 2

* fix codestyle

* fix code

* fix

* fix code

* fix merge

* remove unused

* change table name

* fix whitespace

* delete redundant

* i2_s to absmax

* finish i2_s/i8_s vec_dot x86 simd

* i2s->q22

* fix code

* remove block scale

* add dequantize

* fix seq

* update avx2

* remove q2_2

* remove q22_grid

* fix whitespace

* reuse llm_build_kv

* fix bo

---------

Co-authored-by: root <root@wangjinheng>
---
 convert-hf-to-gguf.py          |  42 ++++++
 gguf-py/gguf/constants.py      |  21 +++
 gguf-py/gguf/tensor_mapping.py |   8 ++
 llama.cpp                      | 237 ++++++++++++++++++++++++++++++++-
 4 files changed, 307 insertions(+), 1 deletion(-)

diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 3107b69f7..8ce79d146 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -1404,6 +1404,48 @@ class LlamaModel(Model):
                 raise ValueError(f"Unprocessed experts: {experts}")
 
 
+@Model.register("BitnetForCausalLM")
+class BitnetModel(Model):
+    model_arch = gguf.MODEL_ARCH.BITNET
+
+    def set_vocab(self):
+        self._set_vocab_sentencepiece()
+
+    def set_gguf_parameters(self):
+        super().set_gguf_parameters()
+        self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.LINEAR)
+        self.gguf_writer.add_rope_scaling_factor(1.0)
+
+    def weight_quant(self, weight):
+        dtype = weight.dtype
+        weight = weight.float()
+        s = 1 / weight.abs().mean().clamp(min=1e-5)
+        weight = (weight * s).round().clamp(-1, 1) / s
+        scale = weight.abs().max().unsqueeze(0)
+        weight = torch.where(weight.abs().less(1e-6), 0, weight).type(dtype)
+        weight = torch.sign(weight).type(dtype)
+        return weight.type(dtype), scale.type(torch.float32)
+
+    def modify_tensors(self, data_torch: Tensor, name: str, bid: int | None) -> Iterable[tuple[str, Tensor]]:
+        new_name = self.map_tensor_name(name)
+
+        if any(self.match_model_tensor_name(new_name, key, bid) for key in [
+            gguf.MODEL_TENSOR.ATTN_Q,
+            gguf.MODEL_TENSOR.ATTN_K,
+            gguf.MODEL_TENSOR.ATTN_V,
+            gguf.MODEL_TENSOR.ATTN_OUT,
+            gguf.MODEL_TENSOR.FFN_UP,
+            gguf.MODEL_TENSOR.FFN_DOWN,
+            gguf.MODEL_TENSOR.FFN_GATE,
+        ]):
+            # transform weight into 1/0/-1 (in fp32)
+            weight_torch, scale_torch = self.weight_quant(data_torch)
+            yield (new_name, weight_torch)
+            yield (new_name.removesuffix(".weight") + ".scale", scale_torch)
+        else:
+            yield (new_name, data_torch)
+
+
 @Model.register("GrokForCausalLM")
 class GrokModel(Model):
     model_arch = gguf.MODEL_ARCH.GROK
diff --git a/gguf-py/gguf/constants.py b/gguf-py/gguf/constants.py
index fb20cfabb..d266fbd43 100644
--- a/gguf-py/gguf/constants.py
+++ b/gguf-py/gguf/constants.py
@@ -149,6 +149,7 @@ class MODEL_ARCH(IntEnum):
     OLMO       = auto()
     ARCTIC     = auto()
     DEEPSEEK2  = auto()
+    BITNET     = auto()
 
 
 class MODEL_TENSOR(IntEnum):
@@ -200,6 +201,8 @@ class MODEL_TENSOR(IntEnum):
     ATTN_KV_B          = auto()
     ATTN_Q_A_NORM      = auto()
     ATTN_KV_A_NORM     = auto()
+    FFN_SUB_NORM       = auto()
+    ATTN_SUB_NORM      = auto()
 
 
 MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
@@ -237,6 +240,7 @@ MODEL_ARCH_NAMES: dict[MODEL_ARCH, str] = {
     MODEL_ARCH.OLMO:           "olmo",
     MODEL_ARCH.ARCTIC:         "arctic",
     MODEL_ARCH.DEEPSEEK2:      "deepseek2",
+    MODEL_ARCH.BITNET:         "bitnet",
 }
 
 TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
@@ -288,6 +292,8 @@ TENSOR_NAMES: dict[MODEL_TENSOR, str] = {
     MODEL_TENSOR.ATTN_KV_B:          "blk.{bid}.attn_kv_b",
     MODEL_TENSOR.ATTN_Q_A_NORM:      "blk.{bid}.attn_q_a_norm",
     MODEL_TENSOR.ATTN_KV_A_NORM:     "blk.{bid}.attn_kv_a_norm",
+    MODEL_TENSOR.ATTN_SUB_NORM:      "blk.{bid}.attn_sub_norm",
+    MODEL_TENSOR.FFN_SUB_NORM:       "blk.{bid}.ffn_sub_norm",
 }
 
 MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
@@ -808,6 +814,21 @@ MODEL_TENSORS: dict[MODEL_ARCH, list[MODEL_TENSOR]] = {
         MODEL_TENSOR.FFN_DOWN_SHEXP,
         MODEL_TENSOR.FFN_UP_SHEXP,
     ],
+    MODEL_ARCH.BITNET: [
+        MODEL_TENSOR.ATTN_Q,
+        MODEL_TENSOR.ATTN_K,
+        MODEL_TENSOR.ATTN_V,
+        MODEL_TENSOR.TOKEN_EMBD,
+        MODEL_TENSOR.OUTPUT_NORM,
+        MODEL_TENSOR.ATTN_NORM,
+        MODEL_TENSOR.ATTN_OUT,
+        MODEL_TENSOR.FFN_NORM,
+        MODEL_TENSOR.FFN_GATE,
+        MODEL_TENSOR.FFN_DOWN,
+        MODEL_TENSOR.FFN_UP,
+        MODEL_TENSOR.ATTN_SUB_NORM,
+        MODEL_TENSOR.FFN_SUB_NORM,
+    ],
     # TODO
 }
 
diff --git a/gguf-py/gguf/tensor_mapping.py b/gguf-py/gguf/tensor_mapping.py
index 81b4992a5..350035bd9 100644
--- a/gguf-py/gguf/tensor_mapping.py
+++ b/gguf-py/gguf/tensor_mapping.py
@@ -413,6 +413,14 @@ class TensorNameMap:
         MODEL_TENSOR.ATTN_KV_A_NORM: (
             "model.layers.{bid}.self_attn.kv_a_layernorm", # deepseek2
         ),
+
+        MODEL_TENSOR.ATTN_SUB_NORM: (
+            "model.layers.{bid}.self_attn.inner_attn_ln",  # bitnet
+        ),
+
+        MODEL_TENSOR.FFN_SUB_NORM: (
+            "model.layers.{bid}.mlp.ffn_layernorm",  # bitnet
+        ),
     }
 
     # architecture-specific block mappings
diff --git a/llama.cpp b/llama.cpp
index a05a52b42..c710ef82b 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -225,6 +225,7 @@ enum llm_arch {
     LLM_ARCH_OLMO,
     LLM_ARCH_ARCTIC,
     LLM_ARCH_DEEPSEEK2,
+    LLM_ARCH_BITNET,
     LLM_ARCH_UNKNOWN,
 };
 
@@ -263,6 +264,7 @@ static const std::map<llm_arch, const char *> LLM_ARCH_NAMES = {
     { LLM_ARCH_OLMO,            "olmo"         },
     { LLM_ARCH_ARCTIC,          "arctic"       },
     { LLM_ARCH_DEEPSEEK2,       "deepseek2"    },
+    { LLM_ARCH_BITNET,          "bitnet"       },
     { LLM_ARCH_UNKNOWN,         "(unknown)"    },
 };
 
@@ -500,6 +502,8 @@ enum llm_tensor {
     LLM_TENSOR_ATTN_KV_B,
     LLM_TENSOR_ATTN_Q_A_NORM,
     LLM_TENSOR_ATTN_KV_A_NORM,
+    LLM_TENSOR_ATTN_SUB_NORM,
+    LLM_TENSOR_FFN_SUB_NORM,
 };
 
 static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NAMES = {
@@ -1113,6 +1117,24 @@ static const std::map<llm_arch, std::map<llm_tensor, std::string>> LLM_TENSOR_NA
             { LLM_TENSOR_FFN_UP_SHEXP,       "blk.%d.ffn_up_shexp" },
         },
     },
+    {
+        LLM_ARCH_BITNET,
+        {
+            { LLM_TENSOR_TOKEN_EMBD,         "token_embd" },
+            { LLM_TENSOR_OUTPUT_NORM,        "output_norm" },
+            { LLM_TENSOR_ATTN_Q,             "blk.%d.attn_q" },
+            { LLM_TENSOR_ATTN_K,             "blk.%d.attn_k" },
+            { LLM_TENSOR_ATTN_V,             "blk.%d.attn_v" },
+            { LLM_TENSOR_ATTN_OUT,           "blk.%d.attn_output" },
+            { LLM_TENSOR_ATTN_NORM,          "blk.%d.attn_norm" },
+            { LLM_TENSOR_ATTN_SUB_NORM,      "blk.%d.attn_sub_norm" },
+            { LLM_TENSOR_FFN_GATE,           "blk.%d.ffn_gate" },
+            { LLM_TENSOR_FFN_DOWN,           "blk.%d.ffn_down" },
+            { LLM_TENSOR_FFN_UP,             "blk.%d.ffn_up" },
+            { LLM_TENSOR_FFN_NORM,           "blk.%d.ffn_norm" },
+            { LLM_TENSOR_FFN_SUB_NORM,       "blk.%d.ffn_sub_norm" },
+        },
+    },
     {
         LLM_ARCH_UNKNOWN,
         {
@@ -2118,6 +2140,8 @@ struct llama_layer {
     struct ggml_tensor * attn_out_norm_b;
     struct ggml_tensor * attn_q_a_norm;
     struct ggml_tensor * attn_kv_a_norm;
+    struct ggml_tensor * attn_sub_norm;
+    struct ggml_tensor * ffn_sub_norm;
 
     // attention
     struct ggml_tensor * wq;
@@ -2185,6 +2209,15 @@ struct llama_layer {
     // long rope factors
     struct ggml_tensor * rope_long  = nullptr;
     struct ggml_tensor * rope_short = nullptr;
+
+    // bitnet scale
+    struct ggml_tensor * wq_scale;
+    struct ggml_tensor * wk_scale;
+    struct ggml_tensor * wv_scale;
+    struct ggml_tensor * wo_scale;
+    struct ggml_tensor * ffn_gate_scale;
+    struct ggml_tensor * ffn_up_scale;
+    struct ggml_tensor * ffn_down_scale;
 };
 
 struct llama_kv_cell {
@@ -4710,6 +4743,15 @@ static void llm_load_hparams(
                     default: model.type = e_model::MODEL_UNKNOWN;
                 }
             } break;
+        case LLM_ARCH_BITNET:
+            {
+                ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
+
+                switch (hparams.n_layer) {
+                    case 26: model.type = e_model::MODEL_3B; break;
+                    default: model.type = e_model::MODEL_UNKNOWN;
+                }
+            } break;
         default: (void)0;
     }
 
@@ -6655,6 +6697,44 @@ static bool llm_load_tensors(
                         }
                     }
                 } break;
+            case LLM_ARCH_BITNET:
+                {
+                    model.tok_embd = ml.create_tensor(ctx_input, tn(LLM_TENSOR_TOKEN_EMBD, "weight"), {n_embd, n_vocab});
+
+                    // output
+                    {
+                        model.output_norm = ml.create_tensor(ctx_output,       tn(LLM_TENSOR_OUTPUT_NORM, "weight"), {n_embd});
+                    }
+
+                    for (int i = 0; i < n_layer; ++i) {
+                        ggml_context * ctx_layer = ctx_for_layer(i);
+                        ggml_context * ctx_split = ctx_for_layer_split(i);
+
+                        auto & layer = model.layers[i];
+
+                        layer.attn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd});
+                        layer.attn_sub_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_SUB_NORM, "weight", i), {n_embd});
+
+                        layer.wq = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_Q, "weight", i), {n_embd, n_embd});
+                        layer.wq_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_Q, "scale", i), {1});
+                        layer.wk = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_K, "weight", i), {n_embd, n_embd_gqa});
+                        layer.wk_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_K, "scale", i), {1});
+                        layer.wv = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_V, "weight", i), {n_embd, n_embd_gqa});
+                        layer.wv_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_V, "scale", i), {1});
+                        layer.wo = ml.create_tensor(ctx_split, tn(LLM_TENSOR_ATTN_OUT, "weight", i), {n_embd, n_embd});
+                        layer.wo_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_ATTN_OUT, "scale", i), {1});
+
+                        layer.ffn_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_NORM, "weight", i), {n_embd});
+                        layer.ffn_sub_norm = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_SUB_NORM, "weight", i), {n_ff});
+
+                        layer.ffn_gate = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_GATE, "weight", i), {n_embd, n_ff});
+                        layer.ffn_gate_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_GATE, "scale", i), {1});
+                        layer.ffn_down = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_DOWN, "weight", i), {n_ff, n_embd});
+                        layer.ffn_down_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_DOWN, "scale", i), {1});
+                        layer.ffn_up   = ml.create_tensor(ctx_split, tn(LLM_TENSOR_FFN_UP,   "weight", i), {n_embd, n_ff});
+                        layer.ffn_up_scale = ml.create_tensor(ctx_layer, tn(LLM_TENSOR_FFN_UP, "scale", i), {1});
+                    }
+                } break;
             default:
                 throw std::runtime_error("unknown architecture");
         }
@@ -7295,7 +7375,10 @@ static struct ggml_tensor * llm_build_kqv(
 
     ggml_build_forward_expand(graph, cur);
 
-    cur = ggml_mul_mat(ctx, wo, cur);
+    if (wo) {
+        cur = ggml_mul_mat(ctx, wo, cur);
+    }
+
     if (wo_b) {
         cb(cur, "kqv_wo", il);
     }
@@ -11709,6 +11792,153 @@ struct llm_build_context {
         return gf;
     }
 
+    struct ggml_cgraph * build_bitnet() {
+        struct ggml_cgraph * gf = ggml_new_graph_custom(ctx0, LLAMA_MAX_NODES, false);
+
+        const int64_t n_embd_head = hparams.n_embd_head_v;
+        GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
+
+        struct ggml_tensor * cur;
+        struct ggml_tensor * inpL;
+
+        inpL = llm_build_inp_embd(ctx0, lctx, hparams, batch, model.tok_embd, cb);
+
+        // inp_pos - contains the positions
+        struct ggml_tensor * inp_pos = build_inp_pos();
+
+        // KQ_mask (mask for 1 head, it will be broadcasted to all heads)
+        struct ggml_tensor * KQ_mask = build_inp_KQ_mask();
+
+        for (int il = 0; il < n_layer; ++il) {
+            struct ggml_tensor * inpSA = inpL;
+
+            cur = llm_build_norm(ctx0, inpL, hparams,
+                    model.layers[il].attn_norm, NULL,
+                    LLM_NORM_RMS, cb, il);
+            cb(cur, "attn_norm", il);
+
+            // self-attention
+            {
+                // compute Q and K and RoPE them
+                struct ggml_tensor * Qcur = ggml_mul_mat(ctx0, model.layers[il].wq, cur);
+                Qcur = ggml_mul(ctx0, Qcur, model.layers[il].wq_scale);
+                cb(Qcur, "Qcur", il);
+                if (model.layers[il].bq) {
+                    Qcur = ggml_add(ctx0, Qcur, model.layers[il].bq);
+                    cb(Qcur, "Qcur", il);
+                }
+
+                // B1.K
+                struct ggml_tensor * Kcur = ggml_mul_mat(ctx0, model.layers[il].wk, cur);
+                Kcur = ggml_mul(ctx0, Kcur, model.layers[il].wk_scale);
+                cb(Kcur, "Kcur", il);
+                if (model.layers[il].bk) {
+                    Kcur = ggml_add(ctx0, Kcur, model.layers[il].bk);
+                    cb(Kcur, "Kcur", il);
+                }
+
+                // B1.V
+                struct ggml_tensor * Vcur = ggml_mul_mat(ctx0, model.layers[il].wv, cur);
+                Vcur = ggml_mul(ctx0, Vcur, model.layers[il].wv_scale);
+                cb(Vcur, "Vcur", il);
+                if (model.layers[il].bv) {
+                    Vcur = ggml_add(ctx0, Vcur, model.layers[il].bv);
+                    cb(Vcur, "Vcur", il);
+                }
+
+                Qcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Qcur, "Qcur", il);
+
+                Kcur = ggml_rope_ext(
+                    ctx0, ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens), inp_pos, nullptr,
+                    n_rot, rope_type, n_ctx_orig, freq_base, freq_scale,
+                    ext_factor, attn_factor, beta_fast, beta_slow
+                );
+                cb(Kcur, "Kcur", il);
+
+                cur = llm_build_kv(ctx0, model, hparams, cparams, kv_self, gf,
+                        nullptr, nullptr,
+                        Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f/sqrtf(float(n_embd_head)), cb, il);
+
+                cur = llm_build_norm(ctx0, cur, hparams,
+                        model.layers[il].attn_sub_norm, NULL,
+                        LLM_NORM_RMS, cb, il);
+                cb(cur, "attn_sub_norm", il);
+
+                cur = ggml_mul_mat(ctx0, model.layers[il].wo, cur);
+                cur = ggml_mul(ctx0, cur, model.layers[il].wo_scale);
+                if (model.layers[il].bo) {
+                    cur = ggml_add(ctx0, cur, model.layers[il].bo);
+                }
+                cb(cur, "attn_o_out", il);
+            }
+
+            if (il == n_layer - 1) {
+                // skip computing output for unused tokens
+                struct ggml_tensor * inp_out_ids = build_inp_out_ids();
+                cur   = ggml_get_rows(ctx0,   cur, inp_out_ids);
+                inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
+            }
+
+            struct ggml_tensor * ffn_inp = ggml_add(ctx0, cur, inpSA);
+            cb(ffn_inp, "ffn_inp", il);
+
+            // feed-forward forward
+            if (model.layers[il].ffn_gate_inp == nullptr) {
+                cur = llm_build_norm(ctx0, ffn_inp, hparams,
+                        model.layers[il].ffn_norm, NULL,
+                        LLM_NORM_RMS, cb, il);
+                cb(cur, "ffn_norm", il);
+
+                struct ggml_tensor *tmp = ggml_mul_mat(ctx0, model.layers[il].ffn_up, cur);
+                tmp = ggml_mul(ctx0, tmp, model.layers[il].ffn_up_scale);
+                cb(tmp, "ffn_up", il);
+
+                cur = ggml_mul_mat(ctx0, model.layers[il].ffn_gate, cur);
+                cur = ggml_mul(ctx0, cur, model.layers[il].ffn_gate_scale);
+                cb(cur, "ffn_gate", il);
+
+                cur = ggml_silu(ctx0, cur);
+                cb(cur, "ffn_silu", il);
+
+                cur = ggml_mul(ctx0, cur, tmp);
+                cb(cur, "ffn_gate_par", il);
+
+                cur = llm_build_norm(ctx0, cur, hparams,
+                                model.layers[il].ffn_sub_norm, NULL,
+                                LLM_NORM_RMS, cb, il);
+                cb(cur, "ffn_sub_norm", il);
+
+                cur = ggml_mul_mat(ctx0, model.layers[il].ffn_down, cur);
+                cur = ggml_mul(ctx0, cur, model.layers[il].ffn_down_scale);
+                cb(cur, "ffn_down", il);
+            }
+            cur = ggml_add(ctx0, cur, ffn_inp);
+            cb(cur, "l_out", il);
+
+            // input for next layer
+            inpL = cur;
+        }
+
+        cur = inpL;
+
+        cur = llm_build_norm(ctx0, cur, hparams,
+                model.output_norm, NULL,
+                LLM_NORM_RMS, cb, -1);
+        cb(cur, "result_norm", -1);
+
+        // lm_head
+        cur = ggml_mul_mat(ctx0, model.tok_embd, cur);
+        cb(cur, "result_output", -1);
+
+        ggml_build_forward_expand(gf, cur);
+        return gf;
+    }
+
 };
 
 static struct ggml_cgraph * llama_build_graph_defrag(llama_context & lctx, const std::vector<uint32_t> & ids) {
@@ -11932,6 +12162,10 @@ static struct ggml_cgraph * llama_build_graph(
             {
                 result = llm.build_deepseek2();
             } break;
+        case LLM_ARCH_BITNET:
+            {
+                result = llm.build_bitnet();
+            } break;
         default:
             GGML_ASSERT(false);
     }
@@ -16760,6 +16994,7 @@ enum llama_rope_type llama_rope_type(const struct llama_model * model) {
         case LLM_ARCH_BERT:
         case LLM_ARCH_NOMIC_BERT:
         case LLM_ARCH_STABLELM:
+        case LLM_ARCH_BITNET:
         case LLM_ARCH_QWEN:
         case LLM_ARCH_QWEN2:
         case LLM_ARCH_QWEN2MOE:

From 95f57bb5d5b18ef0beb2702a0d6c06e46804075c Mon Sep 17 00:00:00 2001
From: slaren <slarengh@gmail.com>
Date: Mon, 24 Jun 2024 03:07:59 +0200
Subject: [PATCH 131/131] ggml : remove ggml_task_type and GGML_PERF (#8017)

* ggml : remove ggml_task_type and GGML_PERF

* check abort_callback on main thread only

* vulkan : remove usage of ggml_compute_params

* remove LLAMA_PERF
---
 CMakeLists.txt  |    7 -
 Makefile        |    3 -
 ggml-vulkan.cpp |   36 +-
 ggml.c          | 1352 +++++++++++++----------------------------------
 ggml.h          |   35 +-
 llama.cpp       |    6 -
 sgemm.cpp       |   43 +-
 sgemm.h         |    2 +-
 8 files changed, 402 insertions(+), 1082 deletions(-)

diff --git a/CMakeLists.txt b/CMakeLists.txt
index 9cfe08d7b..49ba45356 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -144,9 +144,6 @@ option(LLAMA_BUILD_SERVER                    "llama: build server example"
 option(LLAMA_LASX                            "llama: enable lasx"                               ON)
 option(LLAMA_LSX                             "llama: enable lsx"                                ON)
 
-# add perf arguments
-option(LLAMA_PERF                            "llama: enable perf"                               OFF)
-
 # Required for relocatable CMake package
 include(${CMAKE_CURRENT_SOURCE_DIR}/scripts/build-info.cmake)
 
@@ -870,10 +867,6 @@ if (LLAMA_CPU_HBM)
     target_link_libraries(ggml PUBLIC memkind)
 endif()
 
-if (LLAMA_PERF)
-    add_compile_definitions(GGML_PERF)
-endif()
-
 function(get_flags CCID CCVER)
     set(C_FLAGS "")
     set(CXX_FLAGS "")
diff --git a/Makefile b/Makefile
index 4ea59c0b4..3aad77394 100644
--- a/Makefile
+++ b/Makefile
@@ -344,9 +344,6 @@ ifdef LLAMA_GPROF
 	MK_CFLAGS   += -pg
 	MK_CXXFLAGS += -pg
 endif
-ifdef LLAMA_PERF
-	MK_CPPFLAGS += -DGGML_PERF
-endif
 
 # Architecture specific
 # TODO: probably these flags need to be tweaked on some architectures
diff --git a/ggml-vulkan.cpp b/ggml-vulkan.cpp
index c31877403..101781ede 100644
--- a/ggml-vulkan.cpp
+++ b/ggml-vulkan.cpp
@@ -513,8 +513,8 @@ static size_t vk_skip_checks;
 static size_t vk_output_tensor;
 
 static void ggml_vk_print_tensor(ggml_backend * ctx, const ggml_tensor * tensor, const char * name);
-static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor);
-static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor);
+static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_tensor * tensor);
+static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_tensor * tensor);
 #endif
 
 typedef void (*ggml_vk_func_t)(ggml_backend_vk_context * ctx, vk_context * subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst);
@@ -5644,7 +5644,7 @@ static void ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
     }
 }
 
-static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor){
+static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor * tensor){
     ggml_tensor_extra_gpu * extra = nullptr;
 
     switch (tensor->op) {
@@ -5697,17 +5697,10 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_compute_
         return false;
     }
 
-    if (params->ith != 0) {
-        return true;
-    }
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return true;
-    }
-
     VK_LOG_DEBUG("ggml_vk_compute_forward(" << tensor << ", name=" << tensor->name << ", op=" << ggml_op_name(tensor->op) << ", type=" << tensor->type << ", ne0=" << tensor->ne[0] << ", ne1=" << tensor->ne[1] << ", ne2=" << tensor->ne[2] << ", ne3=" << tensor->ne[3] << ", nb0=" << tensor->nb[0] << ", nb1=" << tensor->nb[1] << ", nb2=" << tensor->nb[2] << ", nb3=" << tensor->nb[3] << ", view_src=" << tensor->view_src << ", view_offs=" << tensor->view_offs << ")");
 
 #ifdef GGML_VULKAN_CHECK_RESULTS
-    ggml_vk_check_results_0(ctx, params, tensor);
+    ggml_vk_check_results_0(ctx, tensor);
 #endif
 
     vk_context& subctx = ctx->gc.contexts[extra->ctx_idx];
@@ -6214,9 +6207,6 @@ GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backen
         ggml_vk_build_graph(ctx,cgraph->nodes[i], i == last_node);
     }
 
-    ggml_compute_params params = {};
-    params.type = GGML_TASK_TYPE_COMPUTE;
-    params.ith = 0;
     for (int i = 0; i < cgraph->n_nodes; i++) {
         ggml_tensor * node = cgraph->nodes[i];
 
@@ -6224,13 +6214,13 @@ GGML_CALL static ggml_status ggml_backend_vk_graph_compute(ggml_backend_t backen
             continue;
         }
 
-        bool ok = ggml_vk_compute_forward(ctx, &params, node);
+        bool ok = ggml_vk_compute_forward(ctx, node);
         if (!ok) {
             fprintf(stderr, "%s: error: op not supported %s (%s)\n", __func__, node->name, ggml_op_name(node->op));
         }
 #ifdef GGML_VULKAN_CHECK_RESULTS
         else {
-            ggml_vk_check_results_1(ctx, &params, node);
+            ggml_vk_check_results_1(ctx, node);
         }
 #endif
         GGML_ASSERT(ok);
@@ -6600,11 +6590,8 @@ void * comp_result;
 size_t comp_size;
 size_t comp_nb[GGML_MAX_DIMS];
 size_t check_counter = 0;
-static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor) {
-    if (params->ith != 0) {
-        return;
-    }
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE || tensor->op == GGML_OP_TRANSPOSE) {
+static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_tensor * tensor) {
+        if (tensor->op == GGML_OP_TRANSPOSE) {
         return;
     }
 
@@ -6908,11 +6895,8 @@ static void ggml_vk_check_results_0(ggml_backend_vk_context * ctx, ggml_compute_
     ggml_free(ggml_ctx);
 }
 
-static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_compute_params * params, ggml_tensor * tensor) {
-    if (params->ith != 0) {
-        return;
-    }
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE || tensor->op == GGML_OP_TRANSPOSE) {
+static void ggml_vk_check_results_1(ggml_backend_vk_context * ctx, ggml_tensor * tensor) {
+    if (tensor->op == GGML_OP_TRANSPOSE) {
         return;
     }
     if (!(vk_output_tensor > 0 && vk_output_tensor == check_counter) && check_counter <= vk_skip_checks) {
diff --git a/ggml.c b/ggml.c
index 778ca3fdf..f5502afbe 100644
--- a/ggml.c
+++ b/ggml.c
@@ -175,7 +175,6 @@ void ggml_print_backtrace(void) {
 }
 #endif
 
-/*#define GGML_PERF*/
 #define GGML_DEBUG 0
 #define GGML_GELU_FP16
 #define GGML_GELU_QUICK_FP16
@@ -293,7 +292,7 @@ inline static void * ggml_calloc(size_t num, size_t size) {
 #define GGML_FREE(ptr) free(ptr)
 
 #define UNUSED GGML_UNUSED
-#define SWAP(x, y, T) do { T SWAP = x; x = y; y = SWAP; } while (0)
+#define SWAP(x, y, T) do { T SWAP = x; (x) = y; (y) = SWAP; } while (0)
 
 #if defined(GGML_USE_ACCELERATE)
 #include <Accelerate/Accelerate.h>
@@ -474,18 +473,6 @@ int64_t ggml_cycles_per_ms(void) {
     return CLOCKS_PER_SEC/1000;
 }
 
-#ifdef GGML_PERF
-#define ggml_perf_time_ms()       ggml_time_ms()
-#define ggml_perf_time_us()       ggml_time_us()
-#define ggml_perf_cycles()        ggml_cycles()
-#define ggml_perf_cycles_per_ms() ggml_cycles_per_ms()
-#else
-#define ggml_perf_time_ms()       0
-#define ggml_perf_time_us()       0
-#define ggml_perf_cycles()        0
-#define ggml_perf_cycles_per_ms() 0
-#endif
-
 //
 // cross-platform UTF-8 file paths
 //
@@ -1730,8 +1717,8 @@ struct ggml_context {
 
     int    n_objects;
 
-    struct ggml_object* objects_begin;
-    struct ggml_object* objects_end;
+    struct ggml_object * objects_begin;
+    struct ggml_object * objects_end;
 
     struct ggml_scratch scratch;
     struct ggml_scratch scratch_save;
@@ -1744,11 +1731,8 @@ struct ggml_context_container {
 };
 
 struct ggml_compute_state_shared {
-    const struct ggml_cgraph* cgraph;
-    const struct ggml_cplan* cplan;
-
-    int64_t perf_node_start_cycles;
-    int64_t perf_node_start_time_us;
+    const struct ggml_cgraph * cgraph;
+    const struct ggml_cplan * cplan;
 
     int n_threads;
 
@@ -1757,16 +1741,28 @@ struct ggml_compute_state_shared {
     atomic_int n_barrier_passed;
 
     ggml_abort_callback abort_callback; // abort ggml_graph_compute when true
-    void* abort_callback_data;
+    void * abort_callback_data;
 
-    atomic_int current_chunk; // currently processing chunk during Mat_Mul, shared between all the threads.
+    atomic_int current_chunk; // currently processing chunk during mul_mat, shared between all the threads
+
+    enum ggml_status ec;
 };
 
 struct ggml_compute_state {
     ggml_thread_t thrd;
     int ith;
-    struct ggml_compute_state_shared* shared;
-    enum ggml_status ec;
+    struct ggml_compute_state_shared * shared;
+};
+
+struct ggml_compute_params {
+    // ith = thread index, nth = number of threads
+    int ith, nth;
+
+    // work buffer for all threads
+    size_t wsize;
+    void * wdata;
+
+    struct ggml_compute_state_shared * shared;
 };
 
 //
@@ -2814,42 +2810,6 @@ static_assert(GGML_UNARY_OP_COUNT == 13, "GGML_UNARY_OP_COUNT != 13");
 static_assert(sizeof(struct ggml_object)%GGML_MEM_ALIGN == 0, "ggml_object size must be a multiple of GGML_MEM_ALIGN");
 static_assert(sizeof(struct ggml_tensor)%GGML_MEM_ALIGN == 0, "ggml_tensor size must be a multiple of GGML_MEM_ALIGN");
 
-// WARN:
-// Mis-configuration can lead to problem that's hard to reason about:
-// * At best  it crash or talks nosense.
-// * At worst it talks slightly difference but hard to perceive.
-//
-// An op has to enable INIT or FINALIZE when any of it's branch needs that pass.
-// Take care about compile options (e.g., GGML_USE_xxx).
-static bool GGML_OP_HAS_INIT    [GGML_OP_COUNT] = { 0 };
-static bool GGML_OP_HAS_FINALIZE[GGML_OP_COUNT] = { 0 };
-
-static void ggml_setup_op_has_task_pass(void) {
-    {   // INIT
-        bool * p = GGML_OP_HAS_INIT;
-
-        p[GGML_OP_ACC                    ] = true;
-        p[GGML_OP_MUL_MAT                ] = true;
-        p[GGML_OP_MUL_MAT_ID             ] = true;
-        p[GGML_OP_OUT_PROD               ] = true;
-        p[GGML_OP_SET                    ] = true;
-        p[GGML_OP_GET_ROWS_BACK          ] = true;
-        p[GGML_OP_DIAG_MASK_INF          ] = true;
-        p[GGML_OP_DIAG_MASK_ZERO         ] = true;
-        p[GGML_OP_CONV_TRANSPOSE_1D      ] = true;
-        p[GGML_OP_CONV_TRANSPOSE_2D      ] = true;
-        p[GGML_OP_FLASH_ATTN_BACK        ] = true;
-        p[GGML_OP_CROSS_ENTROPY_LOSS     ] = true;
-        p[GGML_OP_ADD_REL_POS            ] = true;
-    }
-
-    {   // FINALIZE
-        bool * p = GGML_OP_HAS_FINALIZE;
-
-        p[GGML_OP_CROSS_ENTROPY_LOSS     ] = true;
-    }
-}
-
 //
 // NUMA support
 //
@@ -2888,7 +2848,7 @@ struct ggml_state {
 static struct ggml_state g_state;
 static atomic_flag g_state_critical = ATOMIC_FLAG_INIT;
 
-// barrier via spin lock
+// critical section via spin lock
 inline static void ggml_critical_section_start(void) {
     while (atomic_flag_test_and_set(&g_state_critical)) {
         // spin
@@ -2896,6 +2856,48 @@ inline static void ggml_critical_section_start(void) {
     }
 }
 
+#ifdef GGML_USE_OPENMP
+static void ggml_barrier(struct ggml_compute_state_shared * shared) {
+    if (shared->n_threads == 1) {
+        return;
+    }
+
+    #pragma omp barrier
+}
+#else
+static void ggml_barrier(struct ggml_compute_state_shared * shared) {
+    if (shared->n_threads == 1) {
+        return;
+    }
+
+    atomic_int * n_barrier = &shared->n_barrier;
+    atomic_int * n_barrier_passed = &shared->n_barrier_passed;
+
+    int n_threads = shared->n_threads;
+    int passed_old = atomic_load(n_barrier_passed);
+
+    if (atomic_fetch_add(n_barrier, 1) == n_threads - 1) {
+        // last thread
+        atomic_store(n_barrier, 0);
+        atomic_fetch_add(n_barrier_passed, 1);
+    } else {
+        // wait for other threads
+        const int n_spin_before_sleep = 100000;
+        while (true) {
+            for (int i = 0; i < n_spin_before_sleep; i++) {
+                if (atomic_load(n_barrier_passed) != passed_old) {
+                    return;
+                }
+            #if defined(__SSE3__)
+                _mm_pause();
+            #endif
+            }
+            sched_yield();
+        }
+    }
+}
+#endif
+
 // TODO: make this somehow automatically executed
 //       some sort of "sentry" mechanism
 inline static void ggml_critical_section_end(void) {
@@ -3000,7 +3002,7 @@ void ggml_numa_init(enum ggml_numa_strategy numa_flag) {
         }
     }
 #else
-    GGML_UNUSED(numa_flag);
+    UNUSED(numa_flag);
     // TODO
 #endif
 }
@@ -3106,9 +3108,7 @@ GGML_CALL const char * ggml_op_desc(const struct ggml_tensor * t) {
         enum ggml_unary_op uop = ggml_get_unary_op(t);
         return ggml_unary_op_name(uop);
     }
-    else {
-        return ggml_op_name(t->op);
-    }
+    return ggml_op_name(t->op);
 }
 
 GGML_CALL size_t ggml_element_size(const struct ggml_tensor * tensor) {
@@ -3375,8 +3375,6 @@ struct ggml_context * ggml_init(struct ggml_init_params params) {
             GGML_PRINT_DEBUG("%s: g_state initialized in %f ms\n", __func__, (t_end - t_start)/1000.0f);
         }
 
-        ggml_setup_op_has_task_pass();
-
         is_first_call = false;
     }
 
@@ -3643,15 +3641,12 @@ static struct ggml_tensor * ggml_new_tensor_impl(
         /*.flags        =*/ 0,
         /*.grad         =*/ NULL,
         /*.src          =*/ { NULL },
-        /*.perf_runs    =*/ 0,
-        /*.perf_cycles  =*/ 0,
-        /*.perf_time_us =*/ 0,
         /*.view_src     =*/ view_src,
         /*.view_offs    =*/ view_offs,
         /*.data         =*/ obj_alloc_size > 0 ? (void *)(result + 1) : data,
         /*.name         =*/ { 0 },
         /*.extra        =*/ NULL,
-        /*.padding      =*/ { 0 },
+        ///*.padding      =*/ { 0 },
     };
 
 #ifdef __clang__
@@ -7829,10 +7824,6 @@ static void ggml_compute_forward_dup_same_cont(
     GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0));
     GGML_ASSERT(src0->type == dst->type);
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const size_t nb00 = src0->nb[0];
     const size_t nb0 = dst->nb[0];
 
@@ -7861,10 +7852,6 @@ static void ggml_compute_forward_dup_f16(
 
     GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_UNARY_OP_LOCALS
 
     const int ith = params->ith; // thread index
@@ -8134,10 +8121,6 @@ static void ggml_compute_forward_dup_bf16(
 
     GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_UNARY_OP_LOCALS
 
     const int ith = params->ith; // thread index
@@ -8494,10 +8477,6 @@ static void ggml_compute_forward_dup_f32(
 
     GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_UNARY_OP_LOCALS
 
     const int ith = params->ith; // thread index
@@ -8817,10 +8796,6 @@ static void ggml_compute_forward_dup_bytes(
     GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
     GGML_ASSERT(src0->type == dst->type);
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     if (ggml_is_contiguous(src0) && ggml_is_contiguous(dst)) {
         ggml_compute_forward_dup_same_cont(params, dst);
         return;
@@ -9001,10 +8976,6 @@ static void ggml_compute_forward_add_f32(
 
     GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9080,10 +9051,6 @@ static void ggml_compute_forward_add_f16_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9159,10 +9126,6 @@ static void ggml_compute_forward_add_bf16_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9238,10 +9201,6 @@ static void ggml_compute_forward_add_f16_f16(
 
     GGML_ASSERT(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9294,10 +9253,6 @@ static void ggml_compute_forward_add_bf16_bf16(
 
     GGML_ASSERT(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9350,10 +9305,6 @@ static void ggml_compute_forward_add_q_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int nr  = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -9503,10 +9454,6 @@ static void ggml_compute_forward_add1_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -9557,10 +9504,6 @@ static void ggml_compute_forward_add1_f16_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scalar to add
     const float v = *(float *) src1->data;
 
@@ -9609,10 +9552,6 @@ static void ggml_compute_forward_add1_f16_f16(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scalar to add
     const float v = GGML_FP16_TO_FP32(*(ggml_fp16_t *) src1->data);
 
@@ -9661,10 +9600,6 @@ static void ggml_compute_forward_add1_q_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scalar to add
     const float v = *(float *) src1->data;
 
@@ -9730,10 +9665,6 @@ static void ggml_compute_forward_add1_bf16_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scalar to add
     const float v = *(float *) src1->data;
 
@@ -9782,10 +9713,6 @@ static void ggml_compute_forward_add1_bf16_bf16(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_is_scalar(src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scalar to add
     const float v = GGML_BF16_TO_FP32(*(ggml_bf16_t *) src1->data);
 
@@ -9910,20 +9837,16 @@ static void ggml_compute_forward_acc_f32(
     size_t offset  = ((int32_t *) dst->op_params)[3];
     bool   inplace = (bool) ((int32_t *) dst->op_params)[4];
 
-    if (!inplace && (params->type == GGML_TASK_TYPE_INIT)) {
-        if (params->ith != 0) {
-            return;
+    if (!inplace) {
+        if (params->ith == 0) {
+            // memcpy needs to be synchronized across threads to avoid race conditions.
+            // => do it in INIT phase
+            memcpy(
+                ((char *)  dst->data),
+                ((char *) src0->data),
+                ggml_nbytes(dst));
         }
-        // memcpy needs to be synchronized across threads to avoid race conditions.
-        // => do it in INIT phase
-        memcpy(
-            ((char *)  dst->data),
-            ((char *) src0->data),
-            ggml_nbytes(dst));
-    }
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
+        ggml_barrier(params->shared);
     }
 
     const int ith = params->ith;
@@ -10025,13 +9948,12 @@ static void ggml_compute_forward_sub_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    assert(params->ith == 0);
-    assert(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
+
     const int nr  = ggml_nrows(src0);
 
     GGML_TENSOR_BINARY_OP_LOCALS
@@ -10109,9 +10031,6 @@ static void ggml_compute_forward_mul_f32(
 
     GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -10206,10 +10125,6 @@ static void ggml_compute_forward_div_f32(
 
     GGML_ASSERT(ggml_can_repeat(src1, src0) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -10298,13 +10213,12 @@ static void ggml_compute_forward_sqr_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-    assert(ggml_are_same_shape(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_are_same_shape(src0, dst));
+
     const int n     = ggml_nrows(src0);
     const int nc    = src0->ne[0];
 
@@ -10344,13 +10258,12 @@ static void ggml_compute_forward_sqrt_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-    assert(ggml_are_same_shape(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_are_same_shape(src0, dst));
+
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -10390,13 +10303,12 @@ static void ggml_compute_forward_log_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-    GGML_ASSERT(ggml_are_same_shape(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    GGML_ASSERT(ggml_are_same_shape(src0, dst));
+
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -10436,13 +10348,13 @@ static void ggml_compute_forward_sum_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-    assert(ggml_is_scalar(dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_is_scalar(dst));
+
+
     assert(ggml_is_scalar(dst));
     assert(src0->nb[0] == sizeof(float));
 
@@ -10471,13 +10383,12 @@ static void ggml_compute_forward_sum_f16(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-    assert(ggml_is_scalar(dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_is_scalar(dst));
+
     assert(src0->nb[0] == sizeof(ggml_fp16_t));
 
     GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne)
@@ -10505,13 +10416,12 @@ static void ggml_compute_forward_sum_bf16(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-    assert(ggml_is_scalar(dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    assert(ggml_is_scalar(dst));
+
     assert(src0->nb[0] == sizeof(ggml_bf16_t));
 
     GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne)
@@ -10567,9 +10477,7 @@ static void ggml_compute_forward_sum_rows_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -10622,9 +10530,7 @@ static void ggml_compute_forward_mean_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -10681,9 +10587,7 @@ static void ggml_compute_forward_argmax_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -10731,13 +10635,12 @@ static void ggml_compute_forward_repeat_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-    GGML_ASSERT(ggml_can_repeat(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    GGML_ASSERT(ggml_can_repeat(src0, dst));
+
     GGML_TENSOR_UNARY_OP_LOCALS
 
     // guaranteed to be an integer due to the check in ggml_can_repeat
@@ -10776,13 +10679,12 @@ static void ggml_compute_forward_repeat_f16(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-    GGML_ASSERT(ggml_can_repeat(src0, dst));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    GGML_ASSERT(ggml_can_repeat(src0, dst));
+
     GGML_TENSOR_UNARY_OP_LOCALS
 
     // guaranteed to be an integer due to the check in ggml_can_repeat
@@ -10851,13 +10753,12 @@ static void ggml_compute_forward_repeat_back_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-    GGML_ASSERT(ggml_can_repeat(dst, src0));
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
+    GGML_ASSERT(ggml_can_repeat(dst, src0));
+
     GGML_TENSOR_UNARY_OP_LOCALS
 
     // guaranteed to be an integer due to the check in ggml_can_repeat
@@ -10931,10 +10832,6 @@ static void ggml_compute_forward_concat_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -11003,15 +10900,14 @@ static void ggml_compute_forward_abs_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11048,15 +10944,14 @@ static void ggml_compute_forward_sgn_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11093,15 +10988,14 @@ static void ggml_compute_forward_neg_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11138,15 +11032,14 @@ static void ggml_compute_forward_step_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11183,15 +11076,14 @@ static void ggml_compute_forward_tanh_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11228,15 +11120,14 @@ static void ggml_compute_forward_elu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11273,15 +11164,14 @@ static void ggml_compute_forward_relu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11318,15 +11208,14 @@ static void ggml_compute_forward_sigmoid_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11367,10 +11256,6 @@ static void ggml_compute_forward_gelu_f32(
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -11430,10 +11315,6 @@ static void ggml_compute_forward_gelu_quick_f32(
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -11493,10 +11374,6 @@ static void ggml_compute_forward_silu_f32(
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -11551,15 +11428,14 @@ static void ggml_compute_forward_leaky_relu_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11609,10 +11485,6 @@ static void ggml_compute_forward_silu_back_f32(
     assert(ggml_are_same_shape(src0, dst));
     assert(ggml_are_same_shape(src0, grad));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int ith = params->ith;
     const int nth = params->nth;
 
@@ -11668,15 +11540,14 @@ static void ggml_compute_forward_hardswish_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11710,15 +11581,14 @@ static void ggml_compute_forward_hardsigmoid_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -11758,10 +11628,6 @@ static void ggml_compute_forward_norm_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -11833,10 +11699,6 @@ static void ggml_compute_forward_rms_norm_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -11904,10 +11766,6 @@ static void ggml_compute_forward_rms_norm_back_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, dst) && ggml_are_same_shape(src0, src1));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -12082,10 +11940,6 @@ static void ggml_compute_forward_group_norm_f32(
 
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -12190,8 +12044,8 @@ static void ggml_compute_forward_mul_mat_one_chunk(
 
     const bool src1_cont = ggml_is_contiguous(src1);
 
-    ggml_vec_dot_t    const vec_dot = type_traits[type].vec_dot;
-    enum ggml_type    const vec_dot_type = type_traits[type].vec_dot_type;
+    ggml_vec_dot_t const vec_dot      = type_traits[type].vec_dot;
+    enum ggml_type const vec_dot_type = type_traits[type].vec_dot_type;
 
     // broadcast factors
     const int64_t r2 = ne12 / ne02;
@@ -12265,15 +12119,11 @@ static void ggml_compute_forward_mul_mat_one_chunk(
 
 static void ggml_compute_forward_mul_mat(
         const struct ggml_compute_params * params,
-              struct ggml_tensor * dst,
-              struct ggml_compute_state * state) {
+              struct ggml_tensor * dst) {
 
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -12300,16 +12150,14 @@ static void ggml_compute_forward_mul_mat(
     GGML_ASSERT(nb1 <= nb2);
     GGML_ASSERT(nb2 <= nb3);
 
-    // broadcast factors
-    const int64_t r2 = ne12 / ne02;
-    const int64_t r3 = ne13 / ne03;
-    UNUSED(r2);
-    UNUSED(r3);
-
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
 #if GGML_USE_LLAMAFILE
+    // broadcast factors
+    const int64_t r2 = ne12 / ne02;
+    const int64_t r3 = ne13 / ne03;
+
     const bool src1_cont = ggml_is_contiguous(src1);
 
     if (src1_cont) {
@@ -12323,7 +12171,6 @@ static void ggml_compute_forward_mul_mat(
                                      (char *)dst->data + i12*nb2 + i13*nb3,
                                      nb1/ggml_type_size(dst->type),
                                      ith, nth,
-                                     params->type,
                                      src0->type,
                                      src1->type,
                                      dst->type))
@@ -12333,36 +12180,34 @@ static void ggml_compute_forward_mul_mat(
 UseGgmlGemm1:;
 #endif
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
-        // Every thread starts at ith, so the first unprocessed chunk is nth.  This save a bit of coordination right at the start.
-        atomic_store(&state->shared->current_chunk, nth);
-        if (src1->type != vec_dot_type) {
-            char * wdata = params->wdata;
-            const size_t row_size = ggml_row_size(vec_dot_type, ne10);
+    if (src1->type != vec_dot_type) {
+        char * wdata = params->wdata;
 
-            assert(params->wsize >= ne11*ne12*ne13*row_size);
-            GGML_ASSERT(src1->type == GGML_TYPE_F32);
+        const size_t nbw1 = ggml_row_size(vec_dot_type, ne10);
+        const size_t nbw2 = nbw1*ne11;
+        const size_t nbw3 = nbw2*ne12;
 
-            for (int64_t i13 = 0; i13 < ne13; ++i13) {
-                for (int64_t i12 = 0; i12 < ne12; ++i12) {
-                    for (int64_t i11 = 0; i11 < ne11; ++i11) {
-                        from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11), (void *) wdata, ne10);
-                        wdata += row_size;
-                    }
+        assert(params->wsize >= ne13*nbw3);
+        GGML_ASSERT(src1->type == GGML_TYPE_F32);
+
+        for (int64_t i13 = 0; i13 < ne13; ++i13) {
+            for (int64_t i12 = 0; i12 < ne12; ++i12) {
+                for (int64_t i11 = ith; i11 < ne11; i11 += nth) {
+                    from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
+                                          (void *)               (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
+                                           ne10);
                 }
             }
         }
-
-        return;
     }
 
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
+    if (ith == 0) {
+        // Every thread starts at ith, so the first unprocessed chunk is nth.  This save a bit of coordination right at the start.
+        atomic_store(&params->shared->current_chunk, nth);
     }
 
+    ggml_barrier(params->shared);
+
 #if GGML_USE_LLAMAFILE
     if (src1->type != vec_dot_type) {
         const void* wdata = (src1->type == vec_dot_type) ? src1->data : params->wdata;
@@ -12378,7 +12223,6 @@ UseGgmlGemm1:;
                                      (char *)dst->data + i12*nb2 + i13*nb3,
                                      nb1/ggml_type_size(dst->type),
                                      ith, nth,
-                                     params->type,
                                      src0->type,
                                      vec_dot_type,
                                      dst->type))
@@ -12388,11 +12232,6 @@ UseGgmlGemm1:;
 UseGgmlGemm2:;
 #endif
 
-#ifdef GGML_PERF
-    int chunks_executed = 0;
-    UNUSED(chunks_executed);
-#endif
-
     // This is the size of the first dimension of the result, so we can iterate that way. (see the ASSERT above, these are the same numbers)
     const int64_t nr0 = ne0;
 
@@ -12434,9 +12273,6 @@ UseGgmlGemm2:;
     const int64_t dr0 = (nr0 + nchunk0 - 1) / nchunk0;
     const int64_t dr1 = (nr1 + nchunk1 - 1) / nchunk1;
 
-    //if (ith == 0)
-    //    printf("MUL_MAT = [%d, %d, %d, %d] x [%d, %d, %d, %d] = %d x %d = %d.  Fp Ops/Ch %d\n", ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, nchunk0, nchunk1, nchunk0 * nchunk1, ne00 * nr0 * nr1 / nchunk0 / nchunk1);
-
     // The first chunk comes from our thread_id, the rest will get auto-assigned.
     int current_chunk = ith;
 
@@ -12452,23 +12288,12 @@ UseGgmlGemm2:;
 
         ggml_compute_forward_mul_mat_one_chunk(params, dst, num_rows_per_vec_dot, ir0_start, ir0_end, ir1_start, ir1_end);
 
-#ifdef GGML_PERF
-        chunks_executed++;
-#endif
-
         if (nth >= nchunk0 * nchunk1) {
             break;
         }
 
-        current_chunk = atomic_fetch_add(&state->shared->current_chunk, 1);
+        current_chunk = atomic_fetch_add(&params->shared->current_chunk, 1);
     }
-
-#ifdef GGML_PERF
-    // These numbers are useful when trying to measure how well the threading scheduling works.
-    //int64_t workSize = (ne01 * ne11 * ne12 * ne13 * ne00) / nchunk0 / nchunk1;
-    //float time = (ggml_perf_time_us() - t0);
-    //printf("MUL_MAT = %f ms, [%d, %d, %d, %d] x [%d, %d, %d, %d] = %I64u, %f ops/usec in %d chunks.\n", time / 1000.0, ne00, ne01, ne02, ne03, ne10, ne11, ne12, ne13, workSize, (float)workSize/time, chunks_executed);
-#endif
 }
 
 // ggml_compute_forward_mul_mat_id
@@ -12520,32 +12345,33 @@ static void ggml_compute_forward_mul_mat_id(
     int64_t * matrix_row_counts = (int64_t *) (wdata_src1_end); // [n_as]
     struct mmid_row_mapping * matrix_rows = (struct mmid_row_mapping *)(matrix_row_counts + n_as); // [n_as][ne11]
 
-   if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (src1->type != vec_dot_type) {
         char * wdata = params->wdata;
-        if (src1->type != vec_dot_type) {
-            const size_t row_size = ggml_row_size(vec_dot_type, ne10);
 
-            assert(params->wsize >= ne11*ne12*ne13*row_size);
-            assert(src1->type == GGML_TYPE_F32);
+        const size_t nbw1 = ggml_row_size(vec_dot_type, ne10);
+        const size_t nbw2 = nbw1*ne11;
+        const size_t nbw3 = nbw2*ne12;
 
-            for (int64_t i13 = 0; i13 < ne13; ++i13) {
-                for (int64_t i12 = 0; i12 < ne12; ++i12) {
-                    for (int64_t i11 = 0; i11 < ne11; ++i11) {
-                        from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11), (void *) wdata, ne10);
-                        wdata += row_size;
-                    }
+        assert(params->wsize >= ne13*nbw3);
+        GGML_ASSERT(src1->type == GGML_TYPE_F32);
+
+        for (int64_t i13 = 0; i13 < ne13; ++i13) {
+            for (int64_t i12 = 0; i12 < ne12; ++i12) {
+                for (int64_t i11 = ith; i11 < ne11; i11 += nth) {
+                    from_float_to_vec_dot((float *)((char *) src1->data + i13*nb13 + i12*nb12 + i11*nb11),
+                                          (void *)               (wdata + i13*nbw3 + i12*nbw2 + i11*nbw1),
+                                           ne10);
                 }
             }
         }
-
-        // initialize matrix_row_counts
-        memset(matrix_row_counts, 0, n_as*sizeof(int64_t));
+    }
 
 #define MMID_MATRIX_ROW(row_id, i1) matrix_rows[(row_id)*ne12 + (i1)]
 
+    if (ith == 0) {
+        // initialize matrix_row_counts
+        memset(matrix_row_counts, 0, n_as*sizeof(int64_t));
+
         // group rows by src0 matrix
         for (int64_t iid1 = 0; iid1 < ids->ne[1]; ++iid1) {
             for (int id = 0; id < n_ids; ++id) {
@@ -12557,13 +12383,9 @@ static void ggml_compute_forward_mul_mat_id(
                 matrix_row_counts[i02] += 1;
             }
         }
-
-        return;
     }
 
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
+    ggml_barrier(params->shared);
 
     // compute each matrix multiplication in sequence
     for (int cur_a = 0; cur_a < n_as; ++cur_a) {
@@ -12662,9 +12484,6 @@ static void ggml_compute_forward_out_prod_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    // int64_t t0 = ggml_perf_time_us();
-    // UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -12689,17 +12508,10 @@ static void ggml_compute_forward_out_prod_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (ith == 0) {
         ggml_vec_set_f32(ne0*ne1*ne2*ne3, dst->data, 0);
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
     }
+    ggml_barrier(params->shared);
 
     // dst[:,:,:,:] = 0
     // for i2,i3:
@@ -12775,19 +12587,6 @@ static void ggml_compute_forward_out_prod_f32(
             }
         }
     }
-
-    //int64_t t1 = ggml_perf_time_us();
-    //static int64_t acc = 0;
-    //acc += t1 - t0;
-    //if (t1 - t0 > 10) {
-    //    printf("\n");
-    //    printf("ne00 = %5d, ne01 = %5d, ne02 = %5d, ne03 = %5d\n", ne00, ne01, ne02, ne03);
-    //    printf("nb00 = %5d, nb01 = %5d, nb02 = %5d, nb03 = %5d\n", nb00, nb01, nb02, nb03);
-    //    printf("ne10 = %5d, ne11 = %5d, ne12 = %5d, ne13 = %5d\n", ne10, ne11, ne12, ne13);
-    //    printf("nb10 = %5d, nb11 = %5d, nb12 = %5d, nb13 = %5d\n", nb10, nb11, nb12, nb13);
-
-    //    printf("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX task %d/%d: %d us, acc = %d\n", ith, nth, (int) (t1 - t0), (int) acc);
-    //}
 }
 
 static void ggml_compute_forward_out_prod_q_f32(
@@ -12797,9 +12596,6 @@ static void ggml_compute_forward_out_prod_q_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    // int64_t t0 = ggml_perf_time_us();
-    // UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS;
 
     const int ith = params->ith;
@@ -12830,17 +12626,10 @@ static void ggml_compute_forward_out_prod_q_f32(
     // nb01 >= nb00 - src0 is not transposed
     //   compute by src0 rows
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (ith == 0) {
         ggml_vec_set_f32(ne0*ne1*ne2*ne3, dst->data, 0);
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
     }
+    ggml_barrier(params->shared);
 
     // parallelize by last three dimensions
 
@@ -12887,19 +12676,6 @@ static void ggml_compute_forward_out_prod_q_f32(
             ggml_vec_mad_f32(ne0, d, wdata, *s1);
         }
     }
-
-    //int64_t t1 = ggml_perf_time_us();
-    //static int64_t acc = 0;
-    //acc += t1 - t0;
-    //if (t1 - t0 > 10) {
-    //    printf("\n");
-    //    printf("ne00 = %5d, ne01 = %5d, ne02 = %5d, ne03 = %5d\n", ne00, ne01, ne02, ne03);
-    //    printf("nb00 = %5d, nb01 = %5d, nb02 = %5d, nb03 = %5d\n", nb00, nb01, nb02, nb03);
-    //    printf("ne10 = %5d, ne11 = %5d, ne12 = %5d, ne13 = %5d\n", ne10, ne11, ne12, ne13);
-    //    printf("nb10 = %5d, nb11 = %5d, nb12 = %5d, nb13 = %5d\n", nb10, nb11, nb12, nb13);
-
-    //    printf("XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX task %d/%d: %d us, acc = %d\n", ith, nth, (int) (t1 - t0), (int) acc);
-    //}
 }
 
 static void ggml_compute_forward_out_prod(
@@ -12959,10 +12735,6 @@ static void ggml_compute_forward_scale_f32(
     GGML_ASSERT(ggml_is_contiguous(dst));
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // scale factor
     float v;
     memcpy(&v, dst->op_params, sizeof(float));
@@ -13031,20 +12803,16 @@ static void ggml_compute_forward_set_f32(
     size_t offset  = ((int32_t *) dst->op_params)[3];
     bool   inplace = (bool) ((int32_t *) dst->op_params)[4];
 
-    if (!inplace && (params->type == GGML_TASK_TYPE_INIT)) {
-        if (params->ith != 0) {
-            return;
+    if (!inplace) {
+        if (params->ith == 0) {
+            // memcpy needs to be synchronized across threads to avoid race conditions.
+            // => do it in INIT phase
+            memcpy(
+                ((char *)  dst->data),
+                ((char *) src0->data),
+                ggml_nbytes(dst));
         }
-        // memcpy needs to be synchronized across threads to avoid race conditions.
-        // => do it in INIT phase
-        memcpy(
-            ((char *)  dst->data),
-            ((char *) src0->data),
-            ggml_nbytes(dst));
-    }
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
+        ggml_barrier(params->shared);
     }
 
     const int ith = params->ith;
@@ -13193,10 +12961,6 @@ static void ggml_compute_forward_get_rows_q(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int64_t nc = ne00;
@@ -13241,10 +13005,6 @@ static void ggml_compute_forward_get_rows_f16(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int64_t nc = ne00;
@@ -13286,10 +13046,6 @@ static void ggml_compute_forward_get_rows_bf16(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int64_t nc = ne00;
@@ -13331,10 +13087,6 @@ static void ggml_compute_forward_get_rows_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int64_t nc = ne00;
@@ -13446,21 +13198,15 @@ static void ggml_compute_forward_get_rows_back_f32_f16(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    GGML_ASSERT(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     GGML_ASSERT(ggml_is_contiguous(dst));
 
     // ggml_compute_forward_dup_same_cont(params, opt0, dst);
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (params->ith != 0) {
-            return;
-        }
-        memset(dst->data, 0, ggml_nbytes(dst));
-    }
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
+    memset(dst->data, 0, ggml_nbytes(dst));
 
     const int nc = src0->ne[0];
     const int nr = ggml_nelements(src1);
@@ -13485,21 +13231,15 @@ static void ggml_compute_forward_get_rows_back_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    GGML_ASSERT(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     GGML_ASSERT(ggml_is_contiguous(dst));
 
     // ggml_compute_forward_dup_same_cont(params, opt0, dst);
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (params->ith != 0) {
-            return;
-        }
-        memset(dst->data, 0, ggml_nbytes(dst));
-    }
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
+    memset(dst->data, 0, ggml_nbytes(dst));
 
     const int nc = src0->ne[0];
     const int nr = ggml_nelements(src1);
@@ -13565,9 +13305,7 @@ static void ggml_compute_forward_diag_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    GGML_ASSERT(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -13636,22 +13374,18 @@ static void ggml_compute_forward_diag_mask_f32(
 
     GGML_ASSERT(n_past >= 0);
 
-    if (!inplace && (params->type == GGML_TASK_TYPE_INIT)) {
-        if (ith != 0) {
-            return;
+    if (!inplace) {
+        if (ith == 0) {
+            // memcpy needs to be synchronized across threads to avoid race conditions.
+            // => do it in INIT phase
+            GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
+            GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0));
+            memcpy(
+                ((char *)  dst->data),
+                ((char *) src0->data),
+                ggml_nbytes(dst));
         }
-        // memcpy needs to be synchronized across threads to avoid race conditions.
-        // => do it in INIT phase
-        GGML_ASSERT(ggml_nelements(dst) == ggml_nelements(src0));
-        GGML_ASSERT(ggml_is_contiguous(dst) && ggml_is_contiguous(src0));
-        memcpy(
-            ((char *)  dst->data),
-            ((char *) src0->data),
-            ggml_nbytes(dst));
-    }
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
+        ggml_barrier(params->shared);
     }
 
     // TODO: handle transposed/permuted matrices
@@ -13723,10 +13457,6 @@ static void ggml_compute_forward_soft_max_f32(
     assert(ggml_is_contiguous(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     float scale    = 1.0f;
     float max_bias = 0.0f;
 
@@ -13848,10 +13578,6 @@ static void ggml_compute_forward_soft_max_back_f32(
     GGML_ASSERT(ggml_are_same_shape(src0, dst));
     GGML_ASSERT(ggml_are_same_shape(src1, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // TODO: handle transposed/permuted matrices
 
     const int ith = params->ith;
@@ -13940,9 +13666,7 @@ static void ggml_compute_forward_clamp_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -14089,10 +13813,6 @@ static void ggml_compute_forward_rope_f32(
     const struct ggml_tensor * src1 = dst->src[1];
     const struct ggml_tensor * src2 = dst->src[2];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
     //const int n_past     = ((int32_t *) dst->op_params)[0];
@@ -14219,10 +13939,6 @@ static void ggml_compute_forward_rope_f16(
     const struct ggml_tensor * src1 = dst->src[1];
     const struct ggml_tensor * src2 = dst->src[2];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     float freq_base, freq_scale, ext_factor, attn_factor, beta_fast, beta_slow;
 
     //const int n_past     = ((int32_t *) dst->op_params)[0];
@@ -14397,9 +14113,6 @@ static void ggml_compute_forward_conv_transpose_1d_f16_f32(
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -14410,10 +14123,7 @@ static void ggml_compute_forward_conv_transpose_1d_f16_f32(
     GGML_ASSERT(nb00 == sizeof(ggml_fp16_t));
     GGML_ASSERT(nb10 == sizeof(float));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (ith == 0) {
         memset(params->wdata, 0, params->wsize);
 
         // permute kernel data (src0) from (K x Cout x Cin) to (Cin x K x Cout)
@@ -14446,13 +14156,8 @@ static void ggml_compute_forward_conv_transpose_1d_f16_f32(
 
         // need to zero dst since we are accumulating into it
         memset(dst->data, 0, ggml_nbytes(dst));
-
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
     }
+    ggml_barrier(params->shared);
 
     const int32_t s0 = ((const int32_t*)(dst->op_params))[0];
 
@@ -14496,9 +14201,6 @@ static void ggml_compute_forward_conv_transpose_1d_f32(
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -14509,10 +14211,7 @@ static void ggml_compute_forward_conv_transpose_1d_f32(
     GGML_ASSERT(nb00 == sizeof(float));
     GGML_ASSERT(nb10 == sizeof(float));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (ith == 0) {
         memset(params->wdata, 0, params->wsize);
 
         // prepare kernel data (src0) from (K x Cout x Cin) to (Cin x K x Cout)
@@ -14545,13 +14244,8 @@ static void ggml_compute_forward_conv_transpose_1d_f32(
 
         // need to zero dst since we are accumulating into it
         memset(dst->data, 0, ggml_nbytes(dst));
-
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
     }
+    ggml_barrier(params->shared);
 
     const int32_t s0 = ((const int32_t*)(dst->op_params))[0];
 
@@ -14620,9 +14314,6 @@ static void ggml_compute_forward_im2col_f32(
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS;
 
     const int32_t s0 = ((const int32_t *)(dst->op_params))[0];
@@ -14653,14 +14344,6 @@ static void ggml_compute_forward_im2col_f32(
     GGML_ASSERT(nb00 == sizeof(ggml_fp16_t));
     GGML_ASSERT(nb10 == sizeof(float));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // im2col: [N, IC, IH, IW] => [N, OH, OW, IC*KH*KW]
     {
         float * const wdata = (float *) dst->data;
@@ -14708,9 +14391,6 @@ static void ggml_compute_forward_im2col_f16(
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F16);
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS;
 
     const int32_t s0 = ((const int32_t *)(dst->op_params))[0];
@@ -14741,14 +14421,6 @@ static void ggml_compute_forward_im2col_f16(
     GGML_ASSERT(nb00 == sizeof(ggml_fp16_t));
     GGML_ASSERT(nb10 == sizeof(float));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // im2col: [N, IC, IH, IW] => [N, OH, OW, IC*KH*KW]
     {
         ggml_fp16_t * const wdata = (ggml_fp16_t *) dst->data;
@@ -14814,9 +14486,6 @@ static void ggml_compute_forward_conv_transpose_2d(
     GGML_ASSERT(src1->type == GGML_TYPE_F32);
     GGML_ASSERT( dst->type == GGML_TYPE_F32);
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_BINARY_OP_LOCALS
 
     const int ith = params->ith;
@@ -14827,10 +14496,7 @@ static void ggml_compute_forward_conv_transpose_2d(
     GGML_ASSERT(nb00 == sizeof(ggml_fp16_t));
     GGML_ASSERT(nb10 == sizeof(float));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith != 0) {
-            return;
-        }
+    if (ith == 0) {
         memset(params->wdata, 0, params->wsize);
 
         // permute kernel data (src0) from (Kw x Kh x Cout x Cin) to (Cin x Kw x Kh x Cout)
@@ -14865,13 +14531,8 @@ static void ggml_compute_forward_conv_transpose_2d(
         }
 
         memset(dst->data, 0, ggml_nbytes(dst));
-
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
     }
+    ggml_barrier(params->shared);
 
     const int32_t stride = ggml_get_op_params_i32(dst, 0);
 
@@ -14919,9 +14580,8 @@ static void ggml_compute_forward_pool_1d_sk_p0(
     const struct ggml_tensor * src = dst->src[0];
 
     assert(src->type == GGML_TYPE_F32);
-    assert(params->ith == 0);
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -14988,9 +14648,8 @@ static void ggml_compute_forward_pool_2d(
     const struct ggml_tensor * src = dst->src[0];
 
     GGML_ASSERT(src->type == GGML_TYPE_F32);
-    GGML_ASSERT(params->ith == 0);
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -15063,10 +14722,6 @@ static void ggml_compute_forward_upscale_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->type == GGML_TYPE_F32);
 
     const int ith = params->ith;
@@ -15127,10 +14782,6 @@ static void ggml_compute_forward_pad_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(src0->nb[0] == sizeof(float));
     GGML_ASSERT( dst->nb[0] == sizeof(float));
 
@@ -15187,10 +14838,6 @@ static void ggml_compute_forward_arange_f32(
     const struct ggml_compute_params * params,
     struct ggml_tensor * dst) {
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_ASSERT(dst->nb[0] == sizeof(float));
 
     const int ith = params->ith;
@@ -15229,10 +14876,6 @@ static void ggml_compute_forward_timestep_embedding_f32(
     const struct ggml_compute_params * params,
     struct ggml_tensor * dst) {
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const struct ggml_tensor * src0 = dst->src[0];
 
     GGML_ASSERT(src0->nb[0] == sizeof(float));
@@ -15288,10 +14931,6 @@ static void ggml_compute_forward_argsort_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_UNARY_OP_LOCALS
 
     GGML_ASSERT(nb0 == sizeof(float));
@@ -15352,8 +14991,6 @@ static void ggml_compute_forward_flash_attn_ext_f16(
         const struct ggml_tensor * v,
         const struct ggml_tensor * mask,
         struct ggml_tensor * dst) {
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
 
     GGML_TENSOR_LOCALS(int64_t, neq, q,   ne)
     GGML_TENSOR_LOCALS(size_t,  nbq, q,   nb)
@@ -15398,14 +15035,6 @@ static void ggml_compute_forward_flash_attn_ext_f16(
     const int64_t rv2 = neq2/nev2;
     const int64_t rv3 = neq3/nev3;
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // parallelize by q rows using ggml_vec_dot_f32
 
     // total rows in q
@@ -15588,9 +15217,6 @@ static void ggml_compute_forward_flash_attn_back_f32(
     const struct ggml_tensor * v = dst->src[2];
     const struct ggml_tensor * d = dst->src[3];
 
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     GGML_TENSOR_LOCALS(int64_t, neq, q,   ne)
     GGML_TENSOR_LOCALS(size_t,  nbq, q,   nb)
     GGML_TENSOR_LOCALS(int64_t, nek, k,   ne)
@@ -15637,16 +15263,10 @@ static void ggml_compute_forward_flash_attn_back_f32(
     GGML_ASSERT(nb1 <= nb2);
     GGML_ASSERT(nb2 <= nb3);
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith == 0) {
-            memset(dst->data, 0, nb0*ne0*ne1*ne2*ne3);
-        }
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
+    if (ith == 0) {
+        memset(dst->data, 0, nb0*ne0*ne1*ne2*ne3);
     }
+    ggml_barrier(params->shared);
 
     const int64_t elem_q = ggml_nelements(q);
     const int64_t elem_k = ggml_nelements(k);
@@ -15926,10 +15546,6 @@ static void ggml_compute_forward_flash_attn_back(
 static void ggml_compute_forward_ssm_conv_f32(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst) {
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const struct ggml_tensor * src0 = dst->src[0]; // conv_state
     const struct ggml_tensor * src1 = dst->src[1]; // x
     const struct ggml_tensor * src2 = dst->src[2]; // conv1d.weight
@@ -16052,10 +15668,6 @@ static void ggml_compute_forward_ssm_conv(
 static void ggml_compute_forward_ssm_scan_f32(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst) {
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const struct ggml_tensor * src0 = dst->src[0]; // s
     const struct ggml_tensor * src1 = dst->src[1]; // x
     const struct ggml_tensor * src2 = dst->src[2]; // dt
@@ -16177,13 +15789,10 @@ static void ggml_compute_forward_ssm_scan(
 static void ggml_compute_forward_win_part_f32(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst) {
+    UNUSED(params);
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne)
     GGML_TENSOR_LOCALS(int64_t, ne,  dst,  ne)
 
@@ -16243,13 +15852,10 @@ static void ggml_compute_forward_win_part(
 static void ggml_compute_forward_win_unpart_f32(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst) {
+    UNUSED(params);
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     GGML_TENSOR_LOCALS(int64_t, ne0, src0, ne)
     GGML_TENSOR_LOCALS(int64_t, ne,  dst,  ne)
 
@@ -16375,13 +15981,10 @@ static void ggml_compute_forward_unary(
 static void ggml_compute_forward_get_rel_pos_f16(
         const struct ggml_compute_params * params,
         struct ggml_tensor * dst) {
+    UNUSED(params);
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     // ref: https://github.com/facebookresearch/segment-anything/blob/main/segment_anything/modeling/image_encoder.py#L292-L322
 
     GGML_TENSOR_UNARY_OP_LOCALS
@@ -16431,20 +16034,12 @@ static void ggml_compute_forward_add_rel_pos_f32(
     const struct ggml_tensor * src2 = dst->src[2];
 
     const bool inplace = (bool) ((int32_t *) dst->op_params)[0];
-    if (!inplace && params->type == GGML_TASK_TYPE_INIT) {
-        if (params->ith != 0) {
-            return;
+    if (!inplace) {
+        if (params->ith == 0) {
+            memcpy((char *) dst->data, (char *) src0->data, ggml_nbytes(dst));
         }
-        memcpy((char *) dst->data, (char *) src0->data, ggml_nbytes(dst));
-        return;
+        ggml_barrier(params->shared);
     }
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
-    int64_t t0 = ggml_perf_time_us();
-    UNUSED(t0);
-
     // ref: https://github.com/facebookresearch/segment-anything/blob/main/segment_anything/modeling/image_encoder.py#L357-L359
 
     float * src1_data = (float *) src1->data;
@@ -16518,15 +16113,14 @@ static void ggml_compute_forward_map_unary_f32(
 
     const struct ggml_tensor * src0 = dst->src[0];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -16566,16 +16160,15 @@ static void ggml_compute_forward_map_binary_f32(
     const struct ggml_tensor * src0 = dst->src[0];
     const struct ggml_tensor * src1 = dst->src[1];
 
-    assert(params->ith == 0);
+    if (params->ith != 0) {
+        return;
+    }
+
     assert(ggml_is_contiguous_1(src0));
     assert(ggml_is_contiguous_1(src1));
     assert(ggml_is_contiguous_1(dst));
     assert(ggml_are_same_shape(src0, src1) && ggml_are_same_shape(src0, dst));
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const int n  = ggml_nrows(src0);
     const int nc = src0->ne[0];
 
@@ -16615,9 +16208,7 @@ static void ggml_compute_forward_map_custom1_f32(
 
     const struct ggml_tensor * a = dst->src[0];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -16634,9 +16225,7 @@ static void ggml_compute_forward_map_custom2_f32(
     const struct ggml_tensor * a = dst->src[0];
     const struct ggml_tensor * b = dst->src[1];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -16654,9 +16243,7 @@ static void ggml_compute_forward_map_custom3_f32(
     const struct ggml_tensor * b = dst->src[1];
     const struct ggml_tensor * c = dst->src[1];
 
-    assert(params->ith == 0);
-
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
+    if (params->ith != 0) {
         return;
     }
 
@@ -16671,10 +16258,6 @@ static void ggml_compute_forward_map_custom1(
 
     const struct ggml_tensor * a = dst->src[0];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     struct ggml_map_custom1_op_params p;
     memcpy(&p, dst->op_params, sizeof(p));
 
@@ -16690,10 +16273,6 @@ static void ggml_compute_forward_map_custom2(
     const struct ggml_tensor * a = dst->src[0];
     const struct ggml_tensor * b = dst->src[1];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     struct ggml_map_custom2_op_params p;
     memcpy(&p, dst->op_params, sizeof(p));
 
@@ -16710,10 +16289,6 @@ static void ggml_compute_forward_map_custom3(
     const struct ggml_tensor * b = dst->src[1];
     const struct ggml_tensor * c = dst->src[2];
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     struct ggml_map_custom3_op_params p;
     memcpy(&p, dst->op_params, sizeof(p));
 
@@ -16745,21 +16320,10 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
 
     GGML_ASSERT(params->wsize >= sizeof(float) * (nth + nth * nc));
 
-    if (params->type == GGML_TASK_TYPE_INIT) {
-        if (ith == 0) {
-            memset(sums, 0, sizeof(float) * (nth + nth * nc));
-        }
-        return;
-    }
-
-    if (params->type == GGML_TASK_TYPE_FINALIZE) {
-        if (ith == 0) {
-            float * dp = (float *) dst->data;
-            ggml_vec_sum_f32(nth, dp, sums);
-            dp[0] *= -1.0f / (float) nr;
-        }
-        return;
+    if (ith == 0) {
+        memset(sums, 0, sizeof(float) * (nth + nth * nc));
     }
+    ggml_barrier(params->shared);
 
     const double eps = 1e-9;
 
@@ -16807,7 +16371,13 @@ static void ggml_compute_forward_cross_entropy_loss_f32(
         }
 #endif
     }
+    ggml_barrier(params->shared);
 
+    if (ith == 0) {
+        float * dp = (float *) dst->data;
+        ggml_vec_sum_f32(nth, dp, sums);
+        dp[0] *= -1.0f / (float) nr;
+    }
 }
 
 static void ggml_compute_forward_cross_entropy_loss(
@@ -16847,10 +16417,6 @@ static void ggml_compute_forward_cross_entropy_loss_back_f32(
     const int64_t ith = params->ith;
     const int64_t nth = params->nth;
 
-    if (params->type == GGML_TASK_TYPE_INIT || params->type == GGML_TASK_TYPE_FINALIZE) {
-        return;
-    }
-
     const double eps = 1e-9;
 
     // TODO: handle transposed/permuted matrices
@@ -16921,7 +16487,7 @@ static void ggml_compute_forward_cross_entropy_loss_back(
 
 /////////////////////////////////
 
-static void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor, struct ggml_compute_state * state) {
+static void ggml_compute_forward(struct ggml_compute_params * params, struct ggml_tensor * tensor) {
     GGML_ASSERT(params);
 
     if (tensor->op == GGML_OP_NONE || ggml_is_empty(tensor)) {
@@ -17019,7 +16585,7 @@ static void ggml_compute_forward(struct ggml_compute_params * params, struct ggm
             } break;
         case GGML_OP_MUL_MAT:
             {
-                ggml_compute_forward_mul_mat(params, tensor, state);
+                ggml_compute_forward_mul_mat(params, tensor);
             } break;
         case GGML_OP_MUL_MAT_ID:
             {
@@ -18497,9 +18063,6 @@ struct ggml_cgraph * ggml_new_graph_custom(struct ggml_context * ctx, size_t siz
         /*.leafs        =*/ leafs_ptr,
         /*.hash_table   =*/ { hash_size, hash_keys_ptr },
         /*.order        =*/ GGML_CGRAPH_EVAL_ORDER_LEFT_TO_RIGHT,
-        /*.perf_runs    =*/ 0,
-        /*.perf_cycles  =*/ 0,
-        /*.perf_time_us =*/ 0,
     };
 
     return cgraph;
@@ -18519,9 +18082,6 @@ struct ggml_cgraph ggml_graph_view(struct ggml_cgraph * cgraph0, int i0, int i1)
         /*.leafs        =*/ NULL,
         /*.hash_table   =*/ { 0, NULL },
         /*.order        =*/ cgraph0->order,
-        /*.perf_runs    =*/ 0,
-        /*.perf_cycles  =*/ 0,
-        /*.perf_time_us =*/ 0,
     };
 
     return cgraph;
@@ -18715,16 +18275,7 @@ static void set_numa_thread_affinity(int thread_n) { UNUSED(thread_n);  }
 static void clear_numa_thread_affinity(void) {}
 #endif
 
-static void ggml_graph_compute_perf_stats_node(struct ggml_tensor * node, const struct ggml_compute_state_shared * st) {
-    int64_t cycles_cur  = ggml_perf_cycles()  - st->perf_node_start_cycles;
-    int64_t time_us_cur = ggml_perf_time_us() - st->perf_node_start_time_us;
-
-    node->perf_runs++;
-    node->perf_cycles  += cycles_cur;
-    node->perf_time_us += time_us_cur;
-}
-
-static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_threads) {
+static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads) {
     int n_tasks = 0;
 
     if (ggml_is_empty(node)) {
@@ -18767,8 +18318,8 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
                 case GGML_UNARY_OP_ELU:
                 case GGML_UNARY_OP_RELU:
                 case GGML_UNARY_OP_SIGMOID:
-                case GGML_UNARY_OP_HARDSWISH: // to opt for multiple threads
-                case GGML_UNARY_OP_HARDSIGMOID: // to opt for multiple threads
+                case GGML_UNARY_OP_HARDSWISH:
+                case GGML_UNARY_OP_HARDSIGMOID:
                     {
                         n_tasks = 1;
                     } break;
@@ -18791,33 +18342,18 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
         case GGML_OP_RMS_NORM_BACK:
         case GGML_OP_GROUP_NORM:
         case GGML_OP_CONCAT:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_MUL_MAT:
-            {
-                n_tasks = n_threads;
-
-                // TODO: use different scheduling for different matrix sizes
-                //const int nr0 = ggml_nrows(node->src[0]);
-                //const int nr1 = ggml_nrows(node->src[1]);
-
-                //n_tasks = MIN(n_threads, MAX(1, nr0/128));
-                //printf("nr0 = %8d, nr1 = %8d, nr0*nr1 = %8d, n_tasks%d\n", nr0, nr1, nr0*nr1, n_tasks);
-            } break;
         case GGML_OP_MUL_MAT_ID:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_OUT_PROD:
             {
                 n_tasks = n_threads;
             } break;
         case GGML_OP_GET_ROWS:
             {
-                // FIXME: the cost of launching additional threads decreases performance with GPU offloading
-                //n_tasks = MIN(n_threads, ggml_nelements(node->src[1]));
-                n_tasks = MIN(n_cur_threads, ggml_nelements(node->src[1]));
+                // FIXME: get_rows can use additional threads, but the cost of launching additional threads
+                // decreases performance with GPU offloading
+                //n_tasks = n_threads;
+                n_tasks = 1;
             } break;
         case GGML_OP_SCALE:
         case GGML_OP_SET:
@@ -18847,14 +18383,8 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
             {
                 n_tasks = MIN(n_threads, ggml_nrows(node->src[0]));
             } break;
-        case GGML_OP_CONV_TRANSPOSE_1D:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_IM2COL:
-            {
-                n_tasks = n_threads;
-            } break;
+        case GGML_OP_CONV_TRANSPOSE_1D:
         case GGML_OP_CONV_TRANSPOSE_2D:
             {
                 n_tasks = n_threads;
@@ -18865,33 +18395,12 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
                 n_tasks = 1;
             } break;
         case GGML_OP_UPSCALE:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_PAD:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_ARANGE:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_TIMESTEP_EMBEDDING:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_ARGSORT:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_FLASH_ATTN_EXT:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_FLASH_ATTN_BACK:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_SSM_CONV:
         case GGML_OP_SSM_SCAN:
             {
@@ -18939,9 +18448,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
                 }
             } break;
         case GGML_OP_CROSS_ENTROPY_LOSS:
-            {
-                n_tasks = n_threads;
-            } break;
         case GGML_OP_CROSS_ENTROPY_LOSS_BACK:
             {
                 n_tasks = n_threads;
@@ -18971,110 +18477,6 @@ static int ggml_get_n_tasks(struct ggml_tensor * node, int n_threads, int n_cur_
     return n_tasks;
 }
 
-#ifdef GGML_USE_OPENMP
-static void ggml_barrier(struct ggml_compute_state * state) {
-    if (state->shared->n_threads == 1) {
-        return;
-    }
-
-    #pragma omp barrier
-}
-#else
-static void ggml_barrier(struct ggml_compute_state * state) {
-    if (state->shared->n_threads == 1) {
-        return;
-    }
-
-    atomic_int * n_barrier = &state->shared->n_barrier;
-    atomic_int * n_barrier_passed = &state->shared->n_barrier_passed;
-
-    int n_threads = state->shared->n_threads;
-    int passed_old = atomic_load(n_barrier_passed);
-
-    if (atomic_fetch_add(n_barrier, 1) == n_threads - 1) {
-        // last thread
-        atomic_store(n_barrier, 0);
-        atomic_fetch_add(n_barrier_passed, 1);
-    } else {
-        // wait for other threads
-        //while (atomic_load(n_barrier_passed) == passed_old) {
-        //}
-        const int n_spin_before_sleep = 100000;
-        while (true) {
-            for (int i = 0; i < n_spin_before_sleep; i++) {
-                if (atomic_load(n_barrier_passed) != passed_old) {
-                    return;
-                }
-            #if defined(__SSE3__)
-                _mm_pause();
-            #endif
-            }
-            sched_yield();
-        }
-    }
-}
-#endif
-
-static thread_ret_t ggml_graph_compute_thread(void * data) {
-    struct ggml_compute_state * state = (struct ggml_compute_state *) data;
-
-    const struct ggml_cgraph * cgraph = state->shared->cgraph;
-    const struct ggml_cplan  * cplan  = state->shared->cplan;
-
-    const int ith       = state->ith;
-    const int n_threads = state->shared->n_threads;
-
-    set_numa_thread_affinity(ith);
-
-    struct ggml_compute_params params = {
-        /*.type  =*/ GGML_TASK_TYPE_INIT,
-        /*.ith   =*/ ith,
-        /*.nth   =*/ state->shared->n_threads,
-        /*.wsize =*/ cplan->work_size,
-        /*.wdata =*/ cplan->work_data,
-    };
-
-    for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) {
-        if (cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) {
-            state->ec = GGML_STATUS_ABORTED;
-            return 0;
-        }
-
-        struct ggml_tensor * node = cgraph->nodes[node_n];
-        const int n_tasks = ggml_get_n_tasks(node, n_threads, state->shared->n_threads);
-
-        params.nth = n_tasks;
-
-        /* INIT */
-        if (GGML_OP_HAS_INIT[node->op]) {
-            if (ith < n_tasks) {
-                params.type = GGML_TASK_TYPE_INIT;
-                ggml_compute_forward(&params, node, state);
-            }
-            ggml_barrier(state);
-        }
-
-        /* COMPUTE */
-        if (ith < n_tasks) {
-            params.type = GGML_TASK_TYPE_COMPUTE;
-            ggml_compute_forward(&params, node, state);
-        }
-
-        ggml_barrier(state);
-
-        /* FINALIZE */
-        if (GGML_OP_HAS_FINALIZE[node->op]) {
-            if (params.ith == 0) {
-                params.type = GGML_TASK_TYPE_FINALIZE;
-                ggml_compute_forward(&params, node, state);
-            }
-            ggml_barrier(state);
-        }
-    }
-
-    return 0;
-}
-
 struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threads) {
     if (n_threads <= 0) {
         n_threads = GGML_DEFAULT_N_THREADS;
@@ -19091,7 +18493,7 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
     for (int i = 0; i < cgraph->n_nodes; i++) {
         struct ggml_tensor * node = cgraph->nodes[i];
 
-        const int n_tasks = ggml_get_n_tasks(node, n_threads, 1);
+        const int n_tasks = ggml_get_n_tasks(node, n_threads);
 
         max_tasks = MAX(max_tasks, n_tasks);
 
@@ -19243,8 +18645,59 @@ struct ggml_cplan ggml_graph_plan(const struct ggml_cgraph * cgraph, int n_threa
     return cplan;
 }
 
-static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state * workers, int n_threads) {
-    enum ggml_status compute_status = GGML_STATUS_SUCCESS;
+static thread_ret_t ggml_graph_compute_thread(void * data) {
+    struct ggml_compute_state * state = (struct ggml_compute_state *) data;
+
+    const struct ggml_cgraph * cgraph = state->shared->cgraph;
+    const struct ggml_cplan  * cplan  = state->shared->cplan;
+
+    set_numa_thread_affinity(state->ith);
+
+    struct ggml_compute_params params = {
+        /*.ith   =*/ state->ith,
+        /*.nth   =*/ state->shared->n_threads,
+        /*.wsize =*/ cplan->work_size,
+        /*.wdata =*/ cplan->work_data,
+        /*.shared=*/ state->shared,
+    };
+
+    for (int node_n = 0; node_n < cgraph->n_nodes; node_n++) {
+        struct ggml_tensor * node = cgraph->nodes[node_n];
+
+        ggml_compute_forward(&params, node);
+
+        if (state->ith == 0 && cplan->abort_callback && cplan->abort_callback(cplan->abort_callback_data)) {
+            state->shared->ec = GGML_STATUS_ABORTED;
+        }
+
+        ggml_barrier(state->shared);
+
+        if (state->shared->ec != GGML_STATUS_SUCCESS) {
+            break;
+        }
+    }
+
+    return 0;
+}
+
+enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cplan * cplan) {
+    GGML_ASSERT(cplan);
+    GGML_ASSERT(cplan->n_threads > 0);
+    GGML_ASSERT(cplan->work_size == 0 || cplan->work_data != NULL);
+
+    int n_threads = cplan->n_threads;
+
+    struct ggml_compute_state_shared state_shared = {
+        /*.cgraph                  =*/ cgraph,
+        /*.cgraph_plan             =*/ cplan,
+        /*.n_threads               =*/ n_threads,
+        /*.n_barrier               =*/ 0,
+        /*.n_barrier_passed        =*/ 0,
+        /*.abort_callback          =*/ NULL,
+        /*.abort_callback_data     =*/ NULL,
+        /*.current_chunk           =*/ 0,
+        /*.ec                      =*/ GGML_STATUS_SUCCESS,
+    };
 
 #ifdef GGML_USE_OPENMP
     if (n_threads > 1) {
@@ -19254,21 +18707,40 @@ static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state *
             {
                 // update the number of threads from the actual number of threads that we got from OpenMP
                 n_threads = omp_get_num_threads();
-                workers[0].shared->n_threads = n_threads;
+                state_shared.n_threads = n_threads;
             }
-            ggml_graph_compute_thread(&workers[omp_get_thread_num()]);
+
+            struct ggml_compute_state worker = {
+                .thrd   = 0,
+                .ith    = omp_get_thread_num(),
+                .shared = &state_shared,
+            };
+            ggml_graph_compute_thread(&worker);
         }
     } else {
-        ggml_graph_compute_thread(&workers[0]);
+        struct ggml_compute_state worker = {
+            .thrd   = 0,
+            .ith    = 0,
+            .shared = &state_shared,
+        };
+        ggml_graph_compute_thread(&worker);
     }
 #else
+    struct ggml_compute_state * workers = alloca(sizeof(struct ggml_compute_state)*n_threads);
+
+    for (int j = 0; j < n_threads; ++j) {
+        workers[j] = (struct ggml_compute_state) {
+            .thrd   = 0,
+            .ith    = j,
+            .shared = &state_shared,
+        };
+    }
+
     // create thread pool
-    if (n_threads > 1) {
-        for (int j = 1; j < n_threads; ++j) {
-            const int rc = ggml_thread_create(&workers[j].thrd, NULL, ggml_graph_compute_thread, &workers[j]);
-            GGML_ASSERT(rc == 0);
-            UNUSED(rc);
-        }
+    for (int j = 1; j < n_threads; ++j) {
+        const int rc = ggml_thread_create(&workers[j].thrd, NULL, ggml_graph_compute_thread, &workers[j]);
+        GGML_ASSERT(rc == 0);
+        UNUSED(rc);
     }
 
     // this is a work thread too
@@ -19283,79 +18755,11 @@ static enum ggml_status ggml_graph_compute_parallel(struct ggml_compute_state *
         }
     }
 #endif
+
     // don't leave affinity set on the main thread
     clear_numa_thread_affinity();
 
-    for (int j = 0; j < n_threads; j++) {
-        if (workers[j].ec != GGML_STATUS_SUCCESS) {
-            compute_status = workers[j].ec;
-            break;
-        }
-    }
-    return compute_status;
-}
-
-enum ggml_status ggml_graph_compute(struct ggml_cgraph * cgraph, struct ggml_cplan * cplan) {
-    {
-        GGML_ASSERT(cplan);
-        GGML_ASSERT(cplan->n_threads > 0);
-
-        if (cplan->work_size > 0) {
-            GGML_ASSERT(cplan->work_data);
-        }
-    }
-
-    int n_threads = cplan->n_threads;
-
-#if defined(GGML_USE_OPENMP)
-    n_threads = MIN(n_threads, omp_get_max_threads());
-#endif
-
-    struct ggml_compute_state_shared state_shared = {
-        /*.cgraph                  =*/ cgraph,
-        /*.cgraph_plan             =*/ cplan,
-        /*.perf_node_start_cycles  =*/ 0,
-        /*.perf_node_start_time_us =*/ 0,
-        /*.n_threads               =*/ n_threads,
-        /*.n_barrier               =*/ 0,
-        /*.n_barrier_passed        =*/ 0,
-        /*.abort_callback          =*/ NULL,
-        /*.abort_callback_data     =*/ NULL,
-        /*.current_chunk;          =*/ 0,
-    };
-    struct ggml_compute_state * workers = alloca(sizeof(struct ggml_compute_state)*n_threads);
-    const int64_t perf_start_cycles  = ggml_perf_cycles();
-    const int64_t perf_start_time_us = ggml_perf_time_us();
-
-    for (int j = 0; j < n_threads; ++j) {
-        workers[j] = (struct ggml_compute_state) {
-            .thrd   = 0,
-            .ith    = j,
-            .shared = &state_shared,
-            .ec     = GGML_STATUS_SUCCESS,
-        };
-    }
-
-    enum ggml_status compute_status = ggml_graph_compute_parallel(workers, n_threads);
-
-    // performance stats (graph)
-    {
-        int64_t perf_cycles_cur  = ggml_perf_cycles()  - perf_start_cycles;
-        int64_t perf_time_us_cur = ggml_perf_time_us() - perf_start_time_us;
-
-        cgraph->perf_runs++;
-        cgraph->perf_cycles  += perf_cycles_cur;
-        cgraph->perf_time_us += perf_time_us_cur;
-
-        GGML_PRINT_DEBUG("%s: perf (%d) - cpu = %.3f / %.3f ms, wall = %.3f / %.3f ms\n",
-                __func__, cgraph->perf_runs,
-                (double) perf_cycles_cur      / (double) ggml_cycles_per_ms(),
-                (double) cgraph->perf_cycles  / (double) ggml_cycles_per_ms() / (double) cgraph->perf_runs,
-                (double) perf_time_us_cur     / 1000.0,
-                (double) cgraph->perf_time_us / 1000.0 / cgraph->perf_runs);
-    }
-
-    return compute_status;
+    return state_shared.ec;
 }
 
 enum ggml_status ggml_graph_compute_with_ctx(struct ggml_context * ctx, struct ggml_cgraph * cgraph, int n_threads) {
@@ -19854,24 +19258,16 @@ struct ggml_cgraph * ggml_graph_import(const char * fname, struct ggml_context *
 }
 
 void ggml_graph_print(const struct ggml_cgraph * cgraph) {
-    int64_t perf_total_per_op_us[GGML_OP_COUNT] = {0};
-
     GGML_PRINT("=== GRAPH ===\n");
 
     GGML_PRINT("n_nodes = %d\n", cgraph->n_nodes);
     for (int i = 0; i < cgraph->n_nodes; i++) {
         struct ggml_tensor * node = cgraph->nodes[i];
 
-        perf_total_per_op_us[node->op] += MAX(1, node->perf_time_us);
-
-        GGML_PRINT(" - %3d: [ %5" PRId64 ", %5" PRId64 ", %5" PRId64 "] %16s %s (%3d) cpu = %7.3f / %7.3f ms, wall = %7.3f / %7.3f ms\n",
+        GGML_PRINT(" - %3d: [ %5" PRId64 ", %5" PRId64 ", %5" PRId64 "] %16s %s\n",
                 i,
                 node->ne[0], node->ne[1], node->ne[2],
-                ggml_op_name(node->op), (node->flags & GGML_TENSOR_FLAG_PARAM) ? "x" : node->grad ? "g" : " ", node->perf_runs,
-                (double) node->perf_cycles  / (double) ggml_cycles_per_ms(),
-                (double) node->perf_cycles  / (double) ggml_cycles_per_ms() / (double) node->perf_runs,
-                (double) node->perf_time_us / 1000.0,
-                (double) node->perf_time_us / 1000.0 / node->perf_runs);
+                ggml_op_name(node->op), (node->flags & GGML_TENSOR_FLAG_PARAM) ? "x" : node->grad ? "g" : " ");
     }
 
     GGML_PRINT("n_leafs = %d\n", cgraph->n_leafs);
@@ -19885,14 +19281,6 @@ void ggml_graph_print(const struct ggml_cgraph * cgraph) {
                 ggml_get_name(node));
     }
 
-    for (int i = 0; i < GGML_OP_COUNT; i++) {
-        if (perf_total_per_op_us[i] == 0) {
-            continue;
-        }
-
-        GGML_PRINT("perf_total_per_op_us[%16s] = %7.3f ms\n", ggml_op_name(i), (double) perf_total_per_op_us[i] / 1000.0);
-    }
-
     GGML_PRINT("========================================\n");
 }
 
diff --git a/ggml.h b/ggml.h
index 2e8fd0dbc..d895c9acd 100644
--- a/ggml.h
+++ b/ggml.h
@@ -591,11 +591,7 @@ extern "C" {
         struct ggml_tensor * grad;
         struct ggml_tensor * src[GGML_MAX_SRC];
 
-        // performance
-        int     perf_runs;
-        int64_t perf_cycles;
-        int64_t perf_time_us;
-
+        // source tensor and offset for views
         struct ggml_tensor * view_src;
         size_t               view_offs;
 
@@ -605,7 +601,7 @@ extern "C" {
 
         void * extra; // extra things e.g. for ggml-cuda.cu
 
-        char padding[8];
+        // char padding[4];
     };
 
     static const size_t GGML_TENSOR_SIZE = sizeof(struct ggml_tensor);
@@ -652,11 +648,6 @@ extern "C" {
         struct ggml_hash_set visited_hash_table;
 
         enum ggml_cgraph_eval_order order;
-
-        // performance
-        int     perf_runs;
-        int64_t perf_cycles;
-        int64_t perf_time_us;
     };
 
     // scratch buffer
@@ -673,28 +664,6 @@ extern "C" {
         bool   no_alloc;   // don't allocate memory for the tensor data
     };
 
-
-    // compute types
-
-    // NOTE: the INIT or FINALIZE pass is not scheduled unless explicitly enabled.
-    // This behavior was changed since https://github.com/ggerganov/llama.cpp/pull/1995.
-    enum ggml_task_type {
-        GGML_TASK_TYPE_INIT = 0,
-        GGML_TASK_TYPE_COMPUTE,
-        GGML_TASK_TYPE_FINALIZE,
-    };
-
-    struct ggml_compute_params {
-        enum ggml_task_type type;
-
-        // ith = thread index, nth = number of threads
-        int ith, nth;
-
-        // work buffer for all threads
-        size_t wsize;
-        void * wdata;
-    };
-
     // numa strategies
     enum ggml_numa_strategy {
         GGML_NUMA_STRATEGY_DISABLED   = 0,
diff --git a/llama.cpp b/llama.cpp
index c710ef82b..49bc93c02 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -12785,12 +12785,6 @@ static int llama_decode_internal(
             }
         }
 
-#ifdef GGML_PERF
-        // print timing information per ggml operation (for debugging purposes)
-        // requires GGML_PERF to be defined
-        ggml_graph_print(gf);
-#endif
-
         // plot the computation graph in dot format (for debugging purposes)
         //if (n_past%100 == 0) {
         //    ggml_graph_dump_dot(gf, NULL, "llama.dot");
diff --git a/sgemm.cpp b/sgemm.cpp
index bbe263ddd..6626ceb26 100644
--- a/sgemm.cpp
+++ b/sgemm.cpp
@@ -249,9 +249,8 @@ class tinyBLAS {
         : A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
     }
 
-    void matmul(int64_t m, int64_t n, int task) {
-        if (task == GGML_TASK_TYPE_COMPUTE)
-            mnpack(0, m, 0, n);
+    void matmul(int64_t m, int64_t n) {
+        mnpack(0, m, 0, n);
     }
 
   private:
@@ -458,9 +457,8 @@ class tinyBLAS_Q0_ARM {
         : A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
     }
 
-    void matmul(int64_t m, int64_t n, int task) {
-        if (task == GGML_TASK_TYPE_COMPUTE)
-            mnpack(0, m, 0, n);
+    void matmul(int64_t m, int64_t n) {
+        mnpack(0, m, 0, n);
     }
 
   private:
@@ -596,9 +594,8 @@ class tinyBLAS_Q0_AVX {
         : A(A), B(B), C(C), k(k), lda(lda), ldb(ldb), ldc(ldc), ith(ith), nth(nth) {
     }
 
-    void matmul(int64_t m, int64_t n, int task) {
-        if (task == GGML_TASK_TYPE_COMPUTE)
-            mnpack(0, m, 0, n);
+    void matmul(int64_t m, int64_t n) {
+        mnpack(0, m, 0, n);
     }
 
   private:
@@ -829,7 +826,7 @@ class tinyBLAS_Q0_AVX {
  * For example, for single-threaded single-precision GEMM you can say
  *
  *     llamafile_sgemm(m, n, k, A, lda, B, ldb, C, ldc,
- *                     0, 1, GGML_TASK_TYPE_COMPUTE,
+ *                     0, 1,
  *                     GGML_TYPE_F32, GGML_TYPE_F32, GGML_TYPE_F32);
  *
  * @param m is rows in `A` and `C`
@@ -843,14 +840,13 @@ class tinyBLAS_Q0_AVX {
  * @param ldc is row stride of `C`
  * @param ith is thread id (must be less than `nth`)
  * @param nth is number of threads (must be greater than zero)
- * @param task is GGML task type
  * @param Atype is GGML data type of `A`
  * @param Btype is GGML data type of `B`
  * @param Ctype is GGML data type of `C`
  * @return true if this function was able to service the matmul request
  */
 bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda, const void *B, int64_t ldb, void *C,
-                     int64_t ldc, int ith, int nth, int task, int Atype, int Btype, int Ctype) {
+                     int64_t ldc, int ith, int nth, int Atype, int Btype, int Ctype) {
 
     assert(m >= 0);
     assert(n >= 0);
@@ -877,7 +873,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__AVX__) || defined(__AVX2__)
         if (k % 8)
@@ -887,7 +883,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__ARM_NEON)
         if (n < 4)
@@ -899,7 +895,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #else
         return false;
@@ -917,7 +913,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif (defined(__AVX__) || defined(__AVX2__)) && defined(__F16C__)
         if (k % 8)
@@ -929,7 +925,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC) && !defined(_MSC_VER)
         if (n < 8)
@@ -943,7 +939,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const ggml_fp16_t *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__ARM_NEON) && !defined(_MSC_VER)
         if (k % 4)
@@ -955,7 +951,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const float *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #else
         return false;
@@ -971,7 +967,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const block_q8_0 *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__ARM_FEATURE_DOTPROD)
         tinyBLAS_Q0_ARM<block_q8_0> tb{
@@ -979,7 +975,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const block_q8_0 *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #else
         return false;
@@ -995,7 +991,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const block_q8_0 *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #elif defined(__ARM_FEATURE_DOTPROD)
         tinyBLAS_Q0_ARM<block_q4_0> tb{
@@ -1003,7 +999,7 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
             (const block_q8_0 *)B, ldb,
             (float *)C, ldc,
             ith, nth};
-        tb.matmul(m, n, task);
+        tb.matmul(m, n);
         return true;
 #else
         return false;
@@ -1025,7 +1021,6 @@ bool llamafile_sgemm(int64_t m, int64_t n, int64_t k, const void *A, int64_t lda
     (void)ldc;
     (void)ith;
     (void)nth;
-    (void)task;
     (void)Atype;
     (void)Btype;
     (void)Ctype;
diff --git a/sgemm.h b/sgemm.h
index f29747d0a..caf6dd556 100644
--- a/sgemm.h
+++ b/sgemm.h
@@ -7,7 +7,7 @@ extern "C" {
 
 bool llamafile_sgemm(int64_t, int64_t, int64_t, const void *, int64_t,
                      const void *, int64_t, void *, int64_t, int, int,
-                     int, int, int, int);
+                     int, int, int);
 
 #ifdef __cplusplus
 }