From Files to Chunks: Improving HF Storage Efficiency
Hugging Face stores over 30 PB of data in Git LFS repositories, where file-level versioning causes costly full re-uploads on any change. The Xet team is implementing content-defined chunking (CDC) to break files into variable-sized chunks based on rolling hash. This enables deduplication (identical chunks stored once) and efficient handling of insertions/deletions (only modified chunks transferred). The approach is illustrated with examples, showing how it reduces storage bloating and iteration time for large files like GGUF (8GB+).
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