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Models, Spaces, and Datasets are hosted on the Hugging Face Hub as [Git repositories](https://git-scm.com/about), which means that version control and collaboration are core elements of the Hub. In a nutshell, a repository (also known as a **repo**) is a place where code and assets can be stored to back up your work, share it with the community, and work in a team.
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Unlike other collaboration platforms, our Git repositories are optimized for Machine Learning and AI files – large binary files, usually in specific file formats like Parquet and Safetensors, and up to Terabyte-scale sizes!
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Unlike other collaboration platforms, our Git repositories are optimized for Machine Learning and AI files – large binary files, usually in specific file formats like Parquet and Safetensors, and up to [Terabyte-scale sizes](https://huggingface.co/blog/from-files-to-chunks)!
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To achieve this, we built [Xet](./storage-backends), a modern custom storage system built specifically for AI/ML development, enabling chunk-level deduplication, smaller uploads, and faster downloads.
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