root/llama.cpp
1
0
Fork 0
mirror of https://github.com/ggerganov/llama.cpp.git synced 2024-09-22 21:16:20 +00:00
Code Issues Actions 16 Packages Projects Releases Wiki Activity

convert : enable the --use-temp-file cli flag (#6645)

Browse Source
This commit is contained in:
James A Capozzoli 2024-04-14 04:40:18 -04:00 committed by GitHub
parent de17e3f745
commit a4ec34e1cd
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
convert-hf-to-gguf.py
View File

@ -43,17 +43,18 @@ AnyModel = TypeVar("AnyModel", bound="type[Model]")
class Model(ABC):
_model_classes: dict[str, type[Model]] = {}
def __init__(self, dir_model: Path, ftype: int, fname_out: Path, is_big_endian: bool):
def __init__(self, dir_model: Path, ftype: int, fname_out: Path, is_big_endian: bool, use_temp_file: bool):
self.dir_model = dir_model
self.ftype = ftype
self.fname_out = fname_out
self.is_big_endian = is_big_endian
self.endianess = gguf.GGUFEndian.BIG if is_big_endian else gguf.GGUFEndian.LITTLE
self.use_temp_file = use_temp_file
self.is_safetensors = self._is_model_safetensors()
self.num_parts = Model.count_model_parts(self.dir_model, ".safetensors" if self.is_safetensors else ".bin")
self.part_names = self._get_part_names()
self.hparams = Model.load_hparams(self.dir_model)
self.gguf_writer = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[self.model_arch], endianess=self.endianess, use_temp_file=False)
self.gguf_writer = gguf.GGUFWriter(fname_out, gguf.MODEL_ARCH_NAMES[self.model_arch], endianess=self.endianess, use_temp_file=self.use_temp_file)
self.block_count = self.find_hparam(["n_layers", "num_hidden_layers", "n_layer"])
@property
@ -2459,6 +2460,7 @@ def parse_args() -> argparse.Namespace:
"model", type=Path,
help="directory containing model file",
)
parser.add_argument("--use-temp-file", action="store_true", help="use the tempfile library while processing (helpful when running out of memory, process killed)")
return parser.parse_args()
@ -2502,7 +2504,7 @@ def main() -> None:
with torch.inference_mode():
model_class = Model.from_model_architecture(hparams["architectures"][0])
model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian)
model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file)
print("Set model parameters")
model_instance.set_gguf_parameters()