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Use HF papers (#38184)

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Quentin Gallouédec
2025-06-13 13:07:09 +02:00
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docs/source/en/quantization/higgs.md
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# HIGGS
[HIGGS](https://arxiv.org/abs/2411.17525) is a zero-shot quantization algorithm that combines Hadamard preprocessing with MSE-Optimal quantization grids to achieve lower quantization error and state-of-the-art performance.
[HIGGS](https://huggingface.co/papers/2411.17525) is a zero-shot quantization algorithm that combines Hadamard preprocessing with MSE-Optimal quantization grids to achieve lower quantization error and state-of-the-art performance.
Runtime support for HIGGS is implemented through the [FLUTE](https://github.com/HanGuo97/flute) library. Only the 70B and 405B variants of Llama 3 and Llama 3.0, and the 8B and 27B variants of Gemma 2 are currently supported. HIGGS also doesn't support quantized training and backward passes in general at the moment.