SOURCE-LINKED INTELLIGENCE
Minima-KV: Retention-Preserving KV Cache Compression with Mixed-Format Paged Attention
The key-value (KV) cache is a primary capacity and bandwidth bottleneck in long-context LLM serving. We present Minima-KV, a retention-preserving hierarchy for mixed-format paged attention. Recent and protected Anchor pages remain in FP8, while older non-anchor pages move to packed TQ3; every live-request page remains addressable. Format-specific kernels compute partial attention states and combine them through a globally normalized online-softmax merge, enabling direct heterogeneous decode without a cache-sized dense shadow. Across separate, configuration-bound Qwen3.6-27B profiles on a singl
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-24T21:21:58.000Z
First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.