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D-Quant: Driftable Entropy Coding for KV Cache Quantization

Su, Yi et al.
arXiv (All) · Papers
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computation-and-language
The KV cache has become a major bottleneck in deploying LLMs, as its memory footprint grows linearly with sequence length and batch size, imposing substantial pressure on both memory capacity and bandwidth. Among various KV cache compression techniques, quantization is particularly attractive due to
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