baalajimaestro/llama.cpp
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feat: Update llama.cpp

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This commit is contained in:
Andrei Betlen 2024-03-03 11:27:04 -05:00
parent 13177aae0f
commit 87a6e5797e
2 changed files with 10 additions and 6 deletions
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14
llama_cpp/llama_cpp.py
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@ -320,10 +320,12 @@ LLAMA_ROPE_SCALING_TYPE_YARN = 2
LLAMA_ROPE_SCALING_TYPE_MAX_VALUE = LLAMA_ROPE_SCALING_TYPE_YARN
# enum llama_pooling_type {
# LLAMA_POOLING_TYPE_UNSPECIFIED = -1,
# LLAMA_POOLING_TYPE_NONE = 0,
# LLAMA_POOLING_TYPE_MEAN = 1,
# LLAMA_POOLING_TYPE_CLS = 2,
# };
LLAMA_POOLING_TYPE_UNSPECIFIED = -1
LLAMA_POOLING_TYPE_NONE = 0
LLAMA_POOLING_TYPE_MEAN = 1
LLAMA_POOLING_TYPE_CLS = 2
@ -547,7 +549,10 @@ class llama_model_params(ctypes.Structure):
# uint32_t n_batch; // prompt processing maximum batch size
# uint32_t n_threads; // number of threads to use for generation
# uint32_t n_threads_batch; // number of threads to use for batch processing
# int32_t rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
# enum llama_rope_scaling_type rope_scaling_type; // RoPE scaling type, from `enum llama_rope_scaling_type`
# enum llama_pooling_type pooling_type; // whether to pool (sum) embedding results by sequence id
# // (ignored if no pooling layer)
# // ref: https://github.com/ggerganov/llama.cpp/pull/2054
# float rope_freq_base; // RoPE base frequency, 0 = from model
@ -569,7 +574,6 @@ class llama_model_params(ctypes.Structure):
# bool logits_all; // the llama_decode() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
# bool embedding; // embedding mode only
# bool offload_kqv; // whether to offload the KQV ops (including the KV cache) to GPU
# bool do_pooling; // whether to pool (sum) embedding results by sequence id (ignored if no pooling layer)
# // Abort callback
# // if it returns true, execution of llama_decode() will be aborted
@ -587,6 +591,7 @@ class llama_context_params(ctypes.Structure):
n_threads (int): number of threads to use for generation
n_threads_batch (int): number of threads to use for batch processing
rope_scaling_type (int): RoPE scaling type, from `enum llama_rope_scaling_type`
pooling_type (int): whether to pool (sum) embedding results by sequence id (ignored if no pooling layer)
rope_freq_base (float): RoPE base frequency, 0 = from model
rope_freq_scale (float): RoPE frequency scaling factor, 0 = from model
yarn_ext_factor (float): YaRN extrapolation mix factor, negative = from model
@ -602,7 +607,6 @@ class llama_context_params(ctypes.Structure):
logits_all (bool): the llama_eval() call computes all logits, not just the last one (DEPRECATED - set llama_batch.logits instead)
embedding (bool): embedding mode only
offload_kqv (bool): whether to offload the KQV ops (including the KV cache) to GPU
do_pooling (bool): whether to pool (sum) embedding results by sequence id (ignored if no pooling layer)
abort_callback (ggml_abort_callback): abort callback if it returns true, execution of llama_decode() will be aborted
abort_callback_data (ctypes.ctypes.c_void_p): data for abort_callback
"""
@ -613,7 +617,8 @@ class llama_context_params(ctypes.Structure):
("n_batch", ctypes.c_uint32),
("n_threads", ctypes.c_uint32),
("n_threads_batch", ctypes.c_uint32),
("rope_scaling_type", ctypes.c_int32),
("rope_scaling_type", ctypes.c_int),
("pooling_type", ctypes.c_int),
("rope_freq_base", ctypes.c_float),
("rope_freq_scale", ctypes.c_float),
("yarn_ext_factor", ctypes.c_float),
@ -629,7 +634,6 @@ class llama_context_params(ctypes.Structure):
("logits_all", ctypes.c_bool),
("embedding", ctypes.c_bool),
("offload_kqv", ctypes.c_bool),
("do_pooling", ctypes.c_bool),
("abort_callback", ggml_abort_callback),
("abort_callback_data", ctypes.c_void_p),
]

2
vendor/llama.cpp vendored

@ -1 +1 @@
Subproject commit 9731134296af3a6839cd682e51d9c2109a871de5
Subproject commit 67be2ce1015d070b3b2cd488bcb041eefb61de72