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@@ -735,7 +735,7 @@ def lazy_load_safetensors_file(fp: IO[bytes], path: Path) -> ModelPlus:
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header: Dict[str, Dict[str, Any]] = json.loads(fp.read(header_size))
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# Use mmap for the actual data to avoid race conditions with the file offset.
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mapped = memoryview(mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ))
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- byte_buf = mapped[fp.tell():]
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+ byte_buf = mapped[8 + header_size:]
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def convert(info: Dict[str, Any]) -> LazyTensor:
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data_type = SAFETENSORS_DATA_TYPES[info['dtype']]
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@@ -761,7 +761,7 @@ def must_read(fp: IO[bytes], length: int) -> bytes:
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return ret
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-def lazy_load_ggml_file(fp: IO[bytes], path: Path) -> ModelPlus:
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+def lazy_load_ggml_file(fp: io.BufferedReader, path: Path) -> ModelPlus:
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magic = must_read(fp, 4)[::-1]
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if magic in (b'ggmf', b'ggjt'):
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version, = struct.unpack("i", must_read(fp, 4))
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@@ -795,7 +795,9 @@ def lazy_load_ggml_file(fp: IO[bytes], path: Path) -> ModelPlus:
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model: LazyModel = {}
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# Use mmap for the actual data to avoid race conditions with the file offset.
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+ off = fp.raw.tell()
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mapped = memoryview(mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ))
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+ fp.raw.seek(off) # needed on Windows
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def read_tensor() -> None: # this is a function so that variables captured in `load` don't change
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shape_len, name_len, ftype = struct.unpack("iii", must_read(fp, 12))
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