leank-kv-cache-pruning

Learning-based approach to reduce key-value cache memory during inference through static channel-wise sparsity masks. Achieves 70% K cache and 16-18% V cache memory reduction with 1.3x attention speedup.

Independent GitHub snapshot · Automated classification · Original documentation governs