baalajimaestro/llama.cpp
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Update llama.cpp

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This commit is contained in:
Andrei Betlen 2023-06-06 16:23:55 -04:00
parent 8b4968ea67
commit aad4b17f52
2 changed files with 14 additions and 5 deletions
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17
llama_cpp/llama_cpp.py
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@ -79,6 +79,10 @@ c_size_t_p = POINTER(c_size_t)
# llama.h bindings
GGML_USE_CUBLAS = hasattr(_lib, "ggml_init_cublas")
GGML_CUDA_MAX_DEVICES = ctypes.c_int(16)
LLAMA_MAX_DEVICES = GGML_CUDA_MAX_DEVICES if GGML_USE_CUBLAS else ctypes.c_int(1)
# #define LLAMA_FILE_MAGIC_GGJT 0x67676a74u // 'ggjt'
LLAMA_FILE_MAGIC_GGJT = ctypes.c_uint(0x67676A74)
# #define LLAMA_FILE_MAGIC_GGLA 0x67676c61u // 'ggla'
@ -142,9 +146,12 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
# struct llama_context_params {
# int n_ctx; // text context
# int n_gpu_layers; // number of layers to store in VRAM
# int seed; // RNG seed, -1 for random
# int n_ctx; // text context
# int n_batch; // prompt processing batch size
# int n_gpu_layers; // number of layers to store in VRAM
# int main_gpu; // the GPU that is used for scratch and small tensors
# float tensor_split[LLAMA_MAX_DEVICES]; // how to split layers across multiple GPUs
# int seed; // RNG seed, -1 for random
# bool f16_kv; // use fp16 for KV cache
# bool logits_all; // the llama_eval() call computes all logits, not just the last one
@ -153,7 +160,6 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
# bool use_mlock; // force system to keep model in RAM
# bool embedding; // embedding mode only
# // called with a progress value between 0 and 1, pass NULL to disable
# llama_progress_callback progress_callback;
# // context pointer passed to the progress callback
@ -162,7 +168,10 @@ llama_progress_callback = ctypes.CFUNCTYPE(None, c_float, c_void_p)
class llama_context_params(Structure):
_fields_ = [
("n_ctx", c_int),
("n_batch", c_int),
("n_gpu_layers", c_int),
("main_gpu", c_int),
("tensor_split", c_float * LLAMA_MAX_DEVICES.value),
("seed", c_int),
("f16_kv", c_bool),
(

2
vendor/llama.cpp vendored

@ -1 +1 @@
Subproject commit f4c55d3bd7e124b101bc974cbbf0e0dbbc32d5a3
Subproject commit 2d7bf110edd8c49209401a16132052cba706ffd0