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https://github.com/ggerganov/llama.cpp.git
synced 2024-10-29 22:20:15 +01:00
llama : allow overrides for tokenizer flags
ggml-ci
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22f281aa16
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57349e1db3
@ -3707,7 +3707,7 @@ struct llama_model_loader {
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}
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if (param_overrides_p != nullptr) {
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for (const struct llama_model_kv_override *p = param_overrides_p; p->key[0] != 0; p++) {
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for (const struct llama_model_kv_override * p = param_overrides_p; p->key[0] != 0; p++) {
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kv_overrides.insert({std::string(p->key), *p});
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}
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}
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@ -3875,7 +3875,7 @@ struct llama_model_loader {
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ftype = (llama_ftype) (ftype | LLAMA_FTYPE_GUESSED);
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{
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const int kid = gguf_find_key(meta, "general.file_type");
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const int kid = gguf_find_key(meta, "general.file_type"); // TODO: use LLM_KV
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if (kid >= 0) {
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ftype = (llama_ftype) gguf_get_val_u32(meta, kid);
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}
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@ -5369,6 +5369,7 @@ static void llm_load_vocab(
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if (merges_keyidx == -1) {
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throw std::runtime_error("cannot find tokenizer merges in model file\n");
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}
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const int n_merges = gguf_get_arr_n(ctx, merges_keyidx);
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for (int i = 0; i < n_merges; i++) {
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const std::string word = gguf_get_arr_str(ctx, merges_keyidx, i);
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@ -5407,16 +5408,6 @@ static void llm_load_vocab(
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vocab.special_cls_id = -1;
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vocab.special_mask_id = -1;
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const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
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if (add_space_prefix_keyidx != -1) {
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vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
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} // The default value of add_space_prefix is true.
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const int remove_extra_whitespaces_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_REMOVE_EXTRA_WS).c_str());
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if (remove_extra_whitespaces_keyidx != -1) {
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vocab.tokenizer_remove_extra_whitespaces = gguf_get_val_bool(ctx, remove_extra_whitespaces_keyidx);
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} // The default value of remove_extra_whitespaces is false.
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const int precompiled_charsmap_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_PRECOMPILED_CHARSMAP).c_str());
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if (precompiled_charsmap_keyidx != -1) {
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size_t n_precompiled_charsmap = gguf_get_arr_n(ctx, precompiled_charsmap_keyidx);
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@ -5553,10 +5544,8 @@ static void llm_load_vocab(
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vocab.type_pre = LLAMA_VOCAB_PRE_TYPE_DEFAULT;
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}
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const int add_space_prefix_keyidx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_ADD_PREFIX).c_str());
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if (add_space_prefix_keyidx != -1) {
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vocab.tokenizer_add_space_prefix = gguf_get_val_bool(ctx, add_space_prefix_keyidx);
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}
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ml.get_key(LLM_KV_TOKENIZER_ADD_PREFIX, vocab.tokenizer_add_space_prefix, false);
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ml.get_key(LLM_KV_TOKENIZER_REMOVE_EXTRA_WS, vocab.tokenizer_remove_extra_whitespaces, false);
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}
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const int token_idx = gguf_find_key(ctx, kv(LLM_KV_TOKENIZER_LIST).c_str());
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@ -18288,8 +18277,9 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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// copy the KV pairs from the input file
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gguf_set_kv (ctx_out, ml.meta);
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gguf_set_val_u32(ctx_out, "general.quantization_version", GGML_QNT_VERSION);
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gguf_set_val_u32(ctx_out, "general.file_type", ftype);
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gguf_set_val_u32(ctx_out, "general.quantization_version", GGML_QNT_VERSION); // TODO: use LLM_KV
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gguf_set_val_u32(ctx_out, "general.file_type", ftype); // TODO: use LLM_KV
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// Remove split metadata
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gguf_remove_key(ctx_out, ml.llm_kv(LLM_KV_SPLIT_NO).c_str());
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gguf_remove_key(ctx_out, ml.llm_kv(LLM_KV_SPLIT_COUNT).c_str());
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