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Use mmap in torch load #4202

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Nov 25, 2023
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2 changes: 1 addition & 1 deletion convert-hf-to-gguf.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ def get_tensors(self) -> Iterator[tuple[str, Tensor]]:
from safetensors import safe_open
ctx = cast(ContextManager[Any], safe_open(self.dir_model / part_name, framework="pt", device="cpu"))
else:
ctx = contextlib.nullcontext(torch.load(self.dir_model / part_name, map_location="cpu"))
ctx = contextlib.nullcontext(torch.load(str(self.dir_model / part_name), map_location="cpu", mmap=True, weights_only=True))

with ctx as model_part:
for name in model_part.keys():
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