KV cache cut by ~45% with near‑same accuracy

Grouped Value Attention slashes transformer KV memory by roughly 45 % without hurting benchmark scores. By storing only grouped values and reconstructing keys on the fly, it eliminates the need to materialize a full key matrix during decode, cutting the persistent cache scalars dramatically. Before…

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1. 2026-09-25 05:00 · DEV Community — Machine Learning
   KV cache cut by ~45% with near‑same accuracy