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unslothai--unsloth/unsloth/utils/hf_hub.py
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chore: import upstream snapshot with attribution
2026-07-13 12:59:56 +08:00

77 lines
2.0 KiB
Python

from huggingface_hub import HfApi, ModelInfo
_HFAPI: HfApi = None
POPULARITY_PROPERTIES = [
"downloads",
"downloadsAllTime",
"trendingScore",
"likes",
]
THOUSAND = 1000
MILLION = 1000000
BILLION = 1000000000
def formatted_int(value: int) -> str:
if value < THOUSAND:
return str(value)
elif value < MILLION:
return f"{float(value) / 1000:,.1f}K"
elif value < BILLION:
return f"{float(value) / 1000000:,.1f}M"
else:
return f"{float(value) / 1000000000:,.1f}B"
def get_model_info(
model_id: str, properties: list[str] = ["safetensors", "lastModified"]
) -> ModelInfo:
"""
Get the model info for a specific model.
properties: see https://huggingface.co/docs/huggingface_hub/api-ref/hf_hub/hf_api/model_info
Defaults to minimal info; set to None for the full model information.
"""
global _HFAPI
if _HFAPI is None:
_HFAPI = HfApi()
try:
model_info: ModelInfo = _HFAPI.model_info(model_id, expand = properties)
except Exception as e:
print(f"Error getting model info for {model_id}: {e}")
model_info = None
return model_info
def list_models(
properties: list[str] = None,
full: bool = False,
sort: str = "downloads",
author: str = "unsloth",
search: str = None,
limit: int = 10,
) -> list[ModelInfo]:
"""
Retrieve model information from the Hugging Face Hub.
properties: see https://huggingface.co/docs/huggingface_hub/api-ref/hf_hub/hf_api/list_models
full: retrieve full model info; if True, properties is ignored.
sort/author/search: sort order, model author, and search filter.
"""
global _HFAPI
if _HFAPI is None:
_HFAPI = HfApi()
if full:
properties = None
models: list[ModelInfo] = _HFAPI.list_models(
author = author,
search = search,
sort = sort,
limit = limit,
expand = properties,
full = full,
)
return models