SeKV: Adaptive KV Cache for Long-Context Inference
microsoft · hf · 2026-07-08
Microsoft proposes SeKV, a resolution-adaptive semantic KV cache method. It compresses context into entropy-guided spans with hierarchical storage across GPU-CPU memory. This enables efficient long-context processing with minimal memory overhead while preserving token-level details.
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