baalajimaestro/llama.cpp
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Merge pull request #604 from aliencaocao/main-1

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Add doc string for n_gpu_layers argument and make -1 offload all layers
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Andrei 2023-08-14 22:40:10 -04:00 committed by GitHub
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llama_cpp/llama.py
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@ -239,6 +239,7 @@ class Llama:
n_ctx: Maximum context size. n_ctx: Maximum context size.
n_parts: Number of parts to split the model into. If -1, the number of parts is automatically determined. n_parts: Number of parts to split the model into. If -1, the number of parts is automatically determined.
seed: Random seed. -1 for random. seed: Random seed. -1 for random.
n_gpu_layers: Number of layers to offload to GPU (-ngl). If -1, all layers are offloaded.
f16_kv: Use half-precision for key/value cache. f16_kv: Use half-precision for key/value cache.
logits_all: Return logits for all tokens, not just the last token. logits_all: Return logits for all tokens, not just the last token.
vocab_only: Only load the vocabulary no weights. vocab_only: Only load the vocabulary no weights.
@ -267,7 +268,7 @@ class Llama:
self.params = llama_cpp.llama_context_default_params() self.params = llama_cpp.llama_context_default_params()
self.params.n_ctx = n_ctx self.params.n_ctx = n_ctx
self.params.n_gpu_layers = n_gpu_layers self.params.n_gpu_layers = 0x7FFFFFFF if n_gpu_layers == -1 else n_gpu_layers # 0x7FFFFFFF is INT32 max, will be auto set to all layers
self.params.seed = seed self.params.seed = seed
self.params.f16_kv = f16_kv self.params.f16_kv = f16_kv
self.params.logits_all = logits_all self.params.logits_all = logits_all