AutoTune Distills Models Into Smaller Ones
AccBalanced · x · 2026-07-13
Sam Hogan announces that he is opening up **Inference AutoTune** to more users. This tool focuses on distilling frontier models into task-specific small models with **1–30B** parameters in just **25 lines of code**. It automatically routes requests to reduce costs and latency, which the author claims can achieve a **90%+** reduction in both. Training takes about **2 hours and costs under $250**, and users get full weight ownership. It is currently in **private beta**.
Related event: Inference AutoTune Distills Frontier Models into Small Models(2 posts)→
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