KVBoost: A Drop-In Python Library for KV Cache Reuse in LLM Inference
By
pythongiant
Hard to chew. Probably not worth the jaw work.
Summary
KVBoost is a drop-in Python library for LLM inference that enables chunk-level KV cache reuse, eliminating redundant computation. It allows developers to warm a shared prefix once and reuse the cache across subsequent generation calls, achieving 80%+ KV reuse ratio without requiring any code rewrites.
Key quotes
· 3 pulledKVBoost: drop-in, no rewrites.
Warm a shared prefix once — All subsequent calls reuse cache
Chunk-level cache reuse eliminates redundant
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