Thread

Clef: Open-weight decision models, and new RL fine-tuning platform

637 points · 217 comments · jasondavies

bityard · 1790874486 · focus · HN ↗
Clef is based on Qwen3.8-27B and Clef-flash is based on Qwen3.8-9B (edit: actually Qwen3.5-9B). So, similar in spirit to Kev by my understanding, but based on a newer model.
1. okpatil · 1790881581 · focus · HN ↗
  Atom is 60M Param (around 133x to 400x smaller).
  16ms latency. And locally run.
  <a href="https://at0m.pienomial.com/" rel="nofollow">https://at0m.pienomial.com/
  Why go big when you can go small ?
  1. ricardobeat · 1790932435 · focus · HN ↗
    Because with a tiny model you're skipping all the intelligence and world knowledge that makes it useful without fine tuning. `typed-decisions` is almost entirely text classification tasks.
    okpatil · 1790957344 · focus · HN ↗
    Don't assume. It has generic world knowledge. It is performing well on the benchmarks we didn't even train it on.

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