Update llama.cpp
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2 changed files with 14 additions and 5 deletions
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@ -79,6 +79,10 @@ c_size_t_p = POINTER(c_size_t)
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# llama.h bindings
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GGML_USE_CUBLAS = hasattr(_lib, "ggml_init_cublas")
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GGML_CUDA_MAX_DEVICES = ctypes.c_int(16)
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LLAMA_MAX_DEVICES = GGML_CUDA_MAX_DEVICES if GGML_USE_CUBLAS else ctypes.c_int(1)
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# #define LLAMA_FILE_MAGIC_GGJT 0x67676a74u // 'ggjt'
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LLAMA_FILE_MAGIC_GGJT = ctypes.c_uint(0x67676A74)
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# #define LLAMA_FILE_MAGIC_GGLA 0x67676c61u // 'ggla'
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@ -143,7 +147,10 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
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# struct llama_context_params {
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# int n_ctx; // text context
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# int n_batch; // prompt processing batch size
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# int n_gpu_layers; // number of layers to store in VRAM
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# int main_gpu; // the GPU that is used for scratch and small tensors
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# float tensor_split[LLAMA_MAX_DEVICES]; // how to split layers across multiple GPUs
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# int seed; // RNG seed, -1 for random
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# bool f16_kv; // use fp16 for KV cache
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@ -153,7 +160,6 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
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# bool use_mlock; // force system to keep model in RAM
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# bool embedding; // embedding mode only
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# // called with a progress value between 0 and 1, pass NULL to disable
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# llama_progress_callback progress_callback;
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# // context pointer passed to the progress callback
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@ -162,7 +168,10 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
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class llama_context_params(Structure):
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_fields_ = [
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("n_ctx", c_int),
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("n_batch", c_int),
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("n_gpu_layers", c_int),
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("main_gpu", c_int),
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("tensor_split", c_float * LLAMA_MAX_DEVICES.value),
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("seed", c_int),
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("f16_kv", c_bool),
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(
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2
vendor/llama.cpp
vendored
2
vendor/llama.cpp
vendored
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@ -1 +1 @@
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Subproject commit f4c55d3bd7e124b101bc974cbbf0e0dbbc32d5a3
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Subproject commit 2d7bf110edd8c49209401a16132052cba706ffd0
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