baalajimaestro/llama.cpp
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Add rms_eps_norm

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This commit is contained in:
Andrei Betlen 2023-07-24 13:52:12 -04:00
parent e4431a6ade
commit 8cd64d4ac3
1 changed files with 19 additions and 4 deletions
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23
llama_cpp/llama.py
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@ -216,7 +216,6 @@ class Llama:
embedding: bool = False, embedding: bool = False,
n_threads: Optional[int] = None, n_threads: Optional[int] = None,
n_batch: int = 512, n_batch: int = 512,
n_gqa: Optional[int] = None, # must be 8 for llama2 70b
last_n_tokens_size: int = 64, last_n_tokens_size: int = 64,
lora_base: Optional[str] = None, lora_base: Optional[str] = None,
lora_path: Optional[str] = None, lora_path: Optional[str] = None,
@ -224,6 +223,8 @@ class Llama:
tensor_split: Optional[List[float]] = None, tensor_split: Optional[List[float]] = None,
rope_freq_base: float = 10000.0, rope_freq_base: float = 10000.0,
rope_freq_scale: float = 1.0, rope_freq_scale: float = 1.0,
n_gqa: Optional[int] = None, # (TEMPORARY) must be 8 for llama2 70b
rms_eps_norm: Optional[float] = None, # (TEMPORARY)
verbose: bool = True, verbose: bool = True,
): ):
"""Load a llama.cpp model from `model_path`. """Load a llama.cpp model from `model_path`.
@ -261,8 +262,6 @@ 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
if n_gqa is not None:
self.params.n_gqa = n_gqa
self.params.n_gpu_layers = n_gpu_layers self.params.n_gpu_layers = n_gpu_layers
self.params.seed = seed self.params.seed = seed
self.params.f16_kv = f16_kv self.params.f16_kv = f16_kv
@ -285,6 +284,12 @@ class Llama:
self.params.rope_freq_base = rope_freq_base self.params.rope_freq_base = rope_freq_base
self.params.rope_freq_scale = rope_freq_scale self.params.rope_freq_scale = rope_freq_scale
if n_gqa is not None:
self.params.n_gqa = n_gqa
if rms_eps_norm is not None:
self.params.rms_eps_norm = rms_eps_norm
self.last_n_tokens_size = last_n_tokens_size self.last_n_tokens_size = last_n_tokens_size
self.n_batch = min(n_ctx, n_batch) self.n_batch = min(n_ctx, n_batch)
@ -1526,6 +1531,10 @@ class Llama:
lora_base=self.lora_base, lora_base=self.lora_base,
lora_path=self.lora_path, lora_path=self.lora_path,
tensor_split=self.tensor_split, tensor_split=self.tensor_split,
### TEMPORARY ###
n_gqa=self.params.n_gqa,
rms_eps_norm=self.params.rms_eps_norm,
### TEMPORARY ###
### DEPRECATED ### ### DEPRECATED ###
n_parts=self.n_parts, n_parts=self.n_parts,
### DEPRECATED ### ### DEPRECATED ###
@ -1535,7 +1544,6 @@ class Llama:
self.__init__( self.__init__(
model_path=state["model_path"], model_path=state["model_path"],
n_ctx=state["n_ctx"], n_ctx=state["n_ctx"],
n_parts=state["n_parts"],
n_gpu_layers=state["n_gpu_layers"], n_gpu_layers=state["n_gpu_layers"],
seed=state["seed"], seed=state["seed"],
f16_kv=state["f16_kv"], f16_kv=state["f16_kv"],
@ -1551,7 +1559,14 @@ class Llama:
lora_base=state["lora_base"], lora_base=state["lora_base"],
lora_path=state["lora_path"], lora_path=state["lora_path"],
tensor_split=state["tensor_split"], tensor_split=state["tensor_split"],
n_gqa=state["n_gqa"],
### TEMPORARY ###
rms_eps_norm=state["rms_eps_norm"],
verbose=state["verbose"], verbose=state["verbose"],
### TEMPORARY ###
### DEPRECATED ###
n_parts=state["n_parts"],
### DEPRECATED ###
) )
def save_state(self) -> LlamaState: def save_state(self) -> LlamaState: