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GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices

Guo, Yipin et al.
arXiv (All) · Papers
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artificial-intelligence
Weight-only, lossy quantization substantially reduces the storage and memory requirements for serving large language models (LLMs), but the growing key-value (KV) cache remains a bottleneck for long-context inference on personal devices. We present Group-Adaptive Additive Codec (GAAC), a lossless KV
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