KVBoost

KVBoost, a new inference optimization method detailed in an arXiv paper (arXiv:2608.21362), cuts time-to-first-token on Qwen2.5-3B by 4.49x, from 639.1 ms to 142.4 ms, with no accuracy loss. The techn…

KVBoost, a chunk-level key-value cache reuse system for HuggingFace-compatible decoder models, reduces time-to-first-token by 4.49x (142.4 ms vs. 639.1 ms) on Qwen/Qwen2.5-3B over 1,000 bug-localizati…

KVBoost is a new open-source Python library that accelerates HuggingFace LLM inference by implementing chunk-level KV cache reuse, achieving 3–5× faster time-to-first-token (TTFT) and up to 85% cache …