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vllm_omni.model_executor.model_loader.weight_utils ¶

logger `module-attribute` ¶

logger = init_logger(__name__)

download_weights_from_hf_specific ¶

download_weights_from_hf_specific(
    model_name_or_path: str,
    cache_dir: str | None,
    allow_patterns: list[str],
    revision: str | None = None,
    ignore_patterns: str | list[str] | None = None,
    require_all: bool = False,
) -> str

Download model weights from Hugging Face Hub. Users can specify the allow_patterns to download only the necessary weights.

Parameters:

Name	Type	Description	Default
`model_name_or_path`	`str`	The model name or path.	required
`cache_dir`	`Optional[str]`	The cache directory to store the model weights. If None, will use HF defaults.	required
`allow_patterns`	`list[str]`	The allowed patterns for the weight files. Files matched by any of the patterns will be downloaded.	required
`revision`	`Optional[str]`	The revision of the model.	`None`
`ignore_patterns`	`Optional[Union[str, list[str]]]`	The patterns to filter out the weight files. Files matched by any of the patterns will be ignored.	`None`
`require_all`	`bool`	If True, will iterate through and download files matching all patterns in allow_patterns. If False, will stop after the first pattern that matches any files.	`False`

Returns:

Name	Type	Description
`str`	`str`	The path to the downloaded model weights.