We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of code automatically route requests to reduce cost and latency by >90% ~2 hours and <$250 to train. You own the weights Available in private beta today
@brendaneich·Jul 11, 2026·3 sources·positive
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A new tool called Inference AutoTune allows users to distill frontier models into smaller, task-specific SLMs with reduced cost and latency.
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We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of code automatically route requests to reduce cost and latency by >90% ~2 hours and <$250 to train. You own the weights Available in private beta today
@brendaneich
Jul 11, 2026
RT @samhogan: We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of…
@brendaneich
Jul 11, 2026
RT @samhogan: We're releasing Inference AutoTune Distill any frontier model into a 1-30B parameter task-specific SLM with only 25 lines of…
@solanalegend
Jul 12, 2026