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Shuangyi Chen

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Multi-Bitwidth Quantization for LLMs Using Additive Codebooks

Drop-by-Drop is proposed, a novel multi-bitwidth post-training quantization framework enabling inference-time precision control over LLM weights from a single quantized model, and it is proved that Gaussian sources are successively refinable under a weighted mean squared error distortion motivated by LLM loss functions...

Liza Babaoglu, Shuangyi Chen, Ashish J. Khisti · 1 citation

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