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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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# AQLM
Additive Quantization of Language Models ([AQLM](https://arxiv.org/abs/2401.06118)) quantizes multiple weights together and takes advantage of interdependencies between them. AQLM represents groups of 8-16 weights as a sum of multiple vector codes.
Additive Quantization of Language Models ([AQLM](https://huggingface.co/papers/2401.06118)) quantizes multiple weights together and takes advantage of interdependencies between them. AQLM represents groups of 8-16 weights as a sum of multiple vector codes.
AQLM also supports fine-tuning with [LoRA](https://huggingface.co/docs/peft/package_reference/lora) with the [PEFT](https://huggingface.co/docs/peft) library, and is fully compatible with [torch.compile](https://pytorch.org/tutorials/intermediate/torch_compile_tutorial.html) for even faster inference and training.