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llama.cpp: add 4-bit/8-bit kv cache options

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oobabooga 2024-06-29 09:10:33 -07:00
parent 220c1797fc
commit 4ea260098f
3 changed files with 18 additions and 0 deletions
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7
modules/llamacpp_hf.py
View File

@ -221,6 +221,13 @@ class LlamacppHF(PreTrainedModel):
'flash_attn': shared.args.flash_attn 'flash_attn': shared.args.flash_attn
} }
if shared.args.cache_4bit:
params["type_k"] = 2
params["type_v"] = 2
elif shared.args.cache_8bit:
params["type_k"] = 8
params["type_v"] = 8
Llama = llama_cpp_lib().Llama Llama = llama_cpp_lib().Llama
model = Llama(**params) model = Llama(**params)

7
modules/llamacpp_model.py
View File

@ -100,6 +100,13 @@ class LlamaCppModel:
'flash_attn': shared.args.flash_attn 'flash_attn': shared.args.flash_attn
} }
if shared.args.cache_4bit:
params["type_k"] = 2
params["type_v"] = 2
elif shared.args.cache_8bit:
params["type_k"] = 8
params["type_v"] = 8
result.model = Llama(**params) result.model = Llama(**params)
if cache_capacity > 0: if cache_capacity > 0:
result.model.set_cache(LlamaCache(capacity_bytes=cache_capacity)) result.model.set_cache(LlamaCache(capacity_bytes=cache_capacity))

4
modules/loaders.py
View File

@ -30,6 +30,8 @@ loaders_and_params = OrderedDict({
'llama.cpp': [ 'llama.cpp': [
'n_ctx', 'n_ctx',
'n_gpu_layers', 'n_gpu_layers',
'cache_8bit',
'cache_4bit',
'tensor_split', 'tensor_split',
'n_batch', 'n_batch',
'threads', 'threads',
@ -51,6 +53,8 @@ loaders_and_params = OrderedDict({
'llamacpp_HF': [ 'llamacpp_HF': [
'n_ctx', 'n_ctx',
'n_gpu_layers', 'n_gpu_layers',
'cache_8bit',
'cache_4bit',
'tensor_split', 'tensor_split',
'n_batch', 'n_batch',
'threads', 'threads',