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small style fix

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This commit is contained in:
Xuan Son Nguyen
2025-04-08 17:03:14 +02:00
parent df95a3a7b3
commit 4f65762768
1 changed files with 4 additions and 4 deletions
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8
convert_hf_to_gguf.py
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@@ -5498,7 +5498,7 @@ def parse_args() -> argparse.Namespace:
) )
parser.add_argument( parser.add_argument(
"--remote", action="store_true", "--remote", action="store_true",
help="(Experimental) Read safetensors file remotely without downloading to disk. Config and tokenizer files will still be downloaded. To use this feature, you need to specify Hugging Face model repo name instead of a local directory. For example: 'HuggingFaceTB/SmolLM2-1.7B'", help="(Experimental) Read safetensors file remotely without downloading to disk. Config and tokenizer files will still be downloaded. To use this feature, you need to specify Hugging Face model repo name instead of a local directory. For example: 'HuggingFaceTB/SmolLM2-1.7B-Instruct'",
) )
args = parser.parse_args() args = parser.parse_args()
@@ -5542,9 +5542,8 @@ def main() -> None:
if args.remote: if args.remote:
from huggingface_hub import snapshot_download from huggingface_hub import snapshot_download
args.remote = str(dir_model)
local_dir = snapshot_download( local_dir = snapshot_download(
repo_id=args.remote, repo_id=str(dir_model),
allow_patterns=["LICENSE", "*.json", "*.md", "*.txt", "tokenizer.model"]) allow_patterns=["LICENSE", "*.json", "*.md", "*.txt", "tokenizer.model"])
dir_model = Path(local_dir) dir_model = Path(local_dir)
logger.info(f"Downloaded config and tokenizer to {local_dir}") logger.info(f"Downloaded config and tokenizer to {local_dir}")
@@ -5596,7 +5595,8 @@ def main() -> None:
metadata_override=args.metadata, model_name=args.model_name, metadata_override=args.metadata, model_name=args.model_name,
split_max_tensors=args.split_max_tensors, split_max_tensors=args.split_max_tensors,
split_max_size=split_str_to_n_bytes(args.split_max_size), dry_run=args.dry_run, split_max_size=split_str_to_n_bytes(args.split_max_size), dry_run=args.dry_run,
small_first_shard=args.no_tensor_first_split, remote_hf_model_id=args.remote or None) small_first_shard=args.no_tensor_first_split,
remote_hf_model_id=str(args.model) if args.remote else None)
if args.vocab_only: if args.vocab_only:
logger.info("Exporting model vocab...") logger.info("Exporting model vocab...")