TareKV
Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

TareKV helps developers shrink AI memory without silently breaking answers. It checks a compressed cache, tries a shared-pattern repair when needed, and checks again. If it still fails, it falls back to higher precision. Our open-source tools support Qwen and Meta Llama in llama.cpp. The repository reports Qwen2.5-7B prediction agreement recovering from 6.5% to 95.0% with q4_0 repair. Our three-minute visual demo explains the mechanism and replays these reported results.