Beacon queries cut KV memory by 40 %

Automated excerpt

Predicting which past key‑value (KV) entries will be revisited lets the attention module skip redundant lookups, cutting inference memory dramatically. BeaconKV’s beacon query mechanism turns that prediction into a 40 % reduction in peak KV consumption without harming answer quality. Before BeaconKV, KV cache compression relied on recent queries as proxies for future attention patterns, assuming that the next token would attend primarily to the most recent context.

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