Xet
xet-451311f8·2 events·first seen 28d agoAliases: Xet
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Xet Storage Integration on Hugging Face Hub
Hugging Face has integrated Xet, a chunk-based deduplication storage backend, into the Hub to improve large model file storage and transfer efficiency. The integration aims to reduce redundant data storage and speed up uploads/downloads for large model weights by splitting files into content-addressed chunks. This is an infrastructure improvement relevant to the open-weights ecosystem where multi-gigabyte model files are common.
Migrating the Hugging Face Hub from Git LFS to Xet
Hugging Face is migrating its model and dataset hosting infrastructure from Git LFS to Xet, a content-addressed storage system designed for large binary files. The migration aims to improve upload/download speeds, deduplication, and storage efficiency for the large model weights and datasets hosted on the Hub. This represents a significant infrastructure change affecting how millions of AI artifacts are stored and accessed by the community.