Why it matters

KV compression stretches context. Long-context apps need it to fit in HBM.

Advertisement

The architecture

Techniques: low-rank, top-k retention, sink tokens, sliding window.

Trade quality for capacity.

KV compressionTechniqueslow-rank, top-kRetentionsink + slidingTrade-offquality vs capacityH2O, StreamingLLM, ScissorHands; open research area with rapid progress
KV compression.
Advertisement

How it works end to end

H2O keeps heavy hitters.

StreamingLLM adds sinks.

ScissorHands cluster+drop.