baalajimaestro/llama.cpp
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity

feat: Update llama.cpp

Browse source
This commit is contained in:
Andrei Betlen 2024-02-27 12:22:17 -05:00
parent 4d574bd765
commit fea33c9b94
2 changed files with 6 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

5
llama_cpp/llama_cpp.py
View file

@ -264,6 +264,7 @@ LLAMA_TOKEN_TYPE_BYTE = 6
# LLAMA_FTYPE_MOSTLY_IQ3_M = 27, // except 1d tensors # LLAMA_FTYPE_MOSTLY_IQ3_M = 27, // except 1d tensors
# LLAMA_FTYPE_MOSTLY_IQ2_S = 28, // except 1d tensors # LLAMA_FTYPE_MOSTLY_IQ2_S = 28, // except 1d tensors
# LLAMA_FTYPE_MOSTLY_IQ2_M = 29, // except 1d tensors # LLAMA_FTYPE_MOSTLY_IQ2_M = 29, // except 1d tensors
# LLAMA_FTYPE_MOSTLY_IQ4_XS = 30, // except 1d tensors
# LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file # LLAMA_FTYPE_GUESSED = 1024, // not specified in the model file
# }; # };
@ -295,6 +296,7 @@ LLAMA_FTYPE_MOSTLY_IQ3_S = 26
LLAMA_FTYPE_MOSTLY_IQ3_M = 27 LLAMA_FTYPE_MOSTLY_IQ3_M = 27
LLAMA_FTYPE_MOSTLY_IQ2_S = 28 LLAMA_FTYPE_MOSTLY_IQ2_S = 28
LLAMA_FTYPE_MOSTLY_IQ2_M = 29 LLAMA_FTYPE_MOSTLY_IQ2_M = 29
LLAMA_FTYPE_MOSTLY_IQ4_XS = 30
LLAMA_FTYPE_GUESSED = 1024 LLAMA_FTYPE_GUESSED = 1024
# enum llama_rope_scaling_type { # enum llama_rope_scaling_type {
@ -548,6 +550,7 @@ class llama_model_params(ctypes.Structure):
# float yarn_beta_fast; // YaRN low correction dim # float yarn_beta_fast; // YaRN low correction dim
# float yarn_beta_slow; // YaRN high correction dim # float yarn_beta_slow; // YaRN high correction dim
# uint32_t yarn_orig_ctx; // YaRN original context size # uint32_t yarn_orig_ctx; // YaRN original context size
# float defrag_thold; // defragment the KV cache if holes/size > thold, < 0 disabled (default)
# ggml_backend_sched_eval_callback cb_eval; # ggml_backend_sched_eval_callback cb_eval;
# void * cb_eval_user_data; # void * cb_eval_user_data;
@ -580,6 +583,7 @@ class llama_context_params(ctypes.Structure):
yarn_beta_fast (float): YaRN low correction dim yarn_beta_fast (float): YaRN low correction dim
yarn_beta_slow (float): YaRN high correction dim yarn_beta_slow (float): YaRN high correction dim
yarn_orig_ctx (int): YaRN original context size yarn_orig_ctx (int): YaRN original context size
defrag_thold (float): defragment the KV cache if holes/size > thold, < 0 disabled (default)
cb_eval (ggml_backend_sched_eval_callback): callback for scheduling eval cb_eval (ggml_backend_sched_eval_callback): callback for scheduling eval
cb_eval_user_data (ctypes.ctypes.c_void_p): user data for cb_eval cb_eval_user_data (ctypes.ctypes.c_void_p): user data for cb_eval
type_k (int): data type for K cache type_k (int): data type for K cache
@ -605,6 +609,7 @@ class llama_context_params(ctypes.Structure):
("yarn_beta_fast", ctypes.c_float), ("yarn_beta_fast", ctypes.c_float),
("yarn_beta_slow", ctypes.c_float), ("yarn_beta_slow", ctypes.c_float),
("yarn_orig_ctx", ctypes.c_uint32), ("yarn_orig_ctx", ctypes.c_uint32),
("defrag_thold", ctypes.c_float),
("cb_eval", ggml_backend_sched_eval_callback), ("cb_eval", ggml_backend_sched_eval_callback),
("cb_eval_user_data", ctypes.c_void_p), ("cb_eval_user_data", ctypes.c_void_p),
("type_k", ctypes.c_int), ("type_k", ctypes.c_int),

2
vendor/llama.cpp vendored

@ -1 +1 @@
Subproject commit a33e6a0d2a66104ea9a906bdbf8a94d050189d91 Subproject commit cb49e0f8c906e5da49e9f6d64a57742a9a241c6a