Why it matters
KV compression stretches context. Long-context apps need it to fit in HBM.
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The architecture
Techniques: low-rank, top-k retention, sink tokens, sliding window.
Trade quality for capacity.
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How it works end to end
H2O keeps heavy hitters.
StreamingLLM adds sinks.
ScissorHands cluster+drop.