Improve model card with description, pipeline tag, and project page
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by
nielsr
HF Staff
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README.md
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license: mit
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# Spherical Leech Quantization for Visual Tokenization and Generation
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[](https://arxiv.org/abs/2512.14697)
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[](https://github.com/zhaoyue-zephyrus/InfinityCC)
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license: mit
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pipeline_tag: image-feature-extraction
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# Spherical Leech Quantization for Visual Tokenization and Generation
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[](https://arxiv.org/abs/2512.14697)
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[](https://cs.stanford.edu/~yzz/npq/)
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[](https://github.com/zhaoyue-zephyrus/InfinityCC)
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<!-- The following GitHub repository for 'bsqvit' seems less directly tied to the primary model checkpoint in this repository compared to 'InfinityCC', so it is commented out for clarity.
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[](https://github.com/zhaoyue-zephyrus/bsq-vit)
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This model implements **Spherical Leech Quantization ($\Lambda_{24}$-SQ)**, a novel non-parametric quantization method for visual tokenization and generation. Leveraging the high symmetry and even distribution of the Leech lattice, $\Lambda_{24}$-SQ simplifies training and improves reconstruction-compression trade-offs. It outperforms prior art (like BSQ) in image tokenization and compression tasks and extends its benefits to state-of-the-art autoregressive image generation frameworks.
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