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Paper

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

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AI summary

arXiv:2606. 10531v1 Announce Type: new Abstract: Quantization-aware training (QAT) is essential for extremely low-bit large language models (LLMs).