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GAAC:无损 KV 压缩方案,让长上下文推理更省内存
论文提出 Group-Adaptive Additive Codec(GAAC),一种无损 KV cache 压缩与服务系统,利用 BF16 指数冗余在不损失精度的前提下压缩 KV。在五个测试模型上,GAAC 对 BF16 KV 达到 1.405-1.407 倍无损压缩;对 FP8 E4M3 缓存为 1.09-1.14 倍,E5M2 为 1.25-1.30 倍。在 NVIDIA DGX Spark 上,64K token 上下文的解码注意力加速 1.19-1.27 倍,端到端 W4A16 解码步骤加速 1.04-1.15 倍,服务态 KV 常驻内存减少约 26%,吞吐提升 13-29%。在 Apple M4 上注意力加速 1.02-1.25 倍,证明方案可移植到 NVIDIA 之外的硬件。
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苹果和英伟达设备都能跑的无损 KV 压缩,内存省 26%、吞吐提 29%,做端侧长上下文推理的值得看看这套编解码思路。
9 sources42° AI heatLast updated 2026/10/28 03:03:51
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