qev-0.8B: a tiny local decision model that picks moves in 3.5ms on 1.3GB
fajfas3 · reddit · 2026-10-21
Labqoat's qev-0.8b is a tiny "local decision model" claiming #1 of 27 peers (77.1% benchmark win rate), 3.5ms per decision, and a 1.3GB footprint on a Mac. Demos show it playing Snake in real time and acting as a LinkedIn-feed filter that batches marketing fluff into five questions per post — no search, no video watching.
More from Models
- X trends: SophontAI's Holon-S1 predicts gene activity from cancer slides; decision models rise — iScienceLuvr · 2026-10-21
- OpenAI's MultiLangBench: PHP scores highest (91.3%) at building a database engine from scratch — ricklamers · 2026-10-21
- 704-vote robotics Elo ranks Claude Opus 5.5 first at 1379; no model completes the task — qinzytech · 2026-10-21
- DeepSeek V4 called 'god-tier infra, 4th-tier ML': 7 tricks stacked, 20 patches to fix them — teortaxesTex · 2026-10-21
- GPT-6 Astra and Claude Fable 5.1 write $10,000 research papers — experts reject all — sayashk · 2026-10-21
- GitHub Copilot's HydraFusion Orchestrates Multiple Models Per Task — WirelessLife · 2026-10-21