Kev: open decision models let AI agents choose without generating text
Developer Jared Palmer released Kev, a family of open decision models built on Qwen 3.5 with 0.8B, 4B and 9B parameters. Kev is prefill-only: it scores candidates in a single forward pass via a pointer head, skipping autoregressive decoding. Kev-9B reached 83.7% accuracy on the project's locked out-of-domain test.