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convert.py: also look for plain model.safetensors (#4043)

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* add safetensors to convert.py help message

* Check for single-file safetensors model

* Update convert.py "model" option help message

* revert convert.py help message change
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afrideva 2023-11-13 17:03:40 -08:00 committed by GitHub
parent bd90eca237
commit b46d12f86d
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1 changed files with 3 additions and 2 deletions
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convert.py
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@ -1036,7 +1036,8 @@ def load_some_model(path: Path) -> ModelPlus:
# Be extra-friendly and accept either a file or a directory:
if path.is_dir():
# Check if it's a set of safetensors files first
files = list(path.glob("model-00001-of-*.safetensors"))
globs = ["model-00001-of-*.safetensors", "model.safetensors"]
files = [file for glob in globs for file in path.glob(glob)]
if not files:
# Try the PyTorch patterns too, with lower priority
globs = ["consolidated.00.pth", "pytorch_model-00001-of-*.bin", "*.pt", "pytorch_model.bin"]
@ -1123,7 +1124,7 @@ def main(args_in: list[str] | None = None) -> None:
parser.add_argument("--outtype", choices=output_choices, help="output format - note: q8_0 may be very slow (default: f16 or f32 based on input)")
parser.add_argument("--vocab-dir", type=Path, help="directory containing tokenizer.model, if separate from model file")
parser.add_argument("--outfile", type=Path, help="path to write to; default: based on input")
parser.add_argument("model", type=Path, help="directory containing model file, or model file itself (*.pth, *.pt, *.bin)")
parser.add_argument("model", type=Path, help="directory containing model file, or model file itself (*.pth, *.pt, *.bin, *.safetensors)")
parser.add_argument("--vocabtype", choices=["spm", "bpe"], help="vocab format (default: spm)", default="spm")
parser.add_argument("--ctx", type=int, help="model training context (default: based on input)")
parser.add_argument("--concurrency", type=int, help=f"concurrency used for conversion (default: {DEFAULT_CONCURRENCY})", default = DEFAULT_CONCURRENCY)