Kev: Tiny decision models you can train and run on your own
Kev: Tiny Jev-like family of decision models built on top of Qwen3.5

Kev is a family of small decision models (0.8B, 4B, 9B) built on Qwen3.5 that answer yes/no, multiple-choice, and rating questions in a single request. They run on CUDA and Apple Silicon, and you can train your own using the provided code and data. The API matches TypeSafe's System One, so you can point their Python SDK at your local server. A web playground lets you test inputs and check how option order affects answers.
That is the point of getting probabilities back instead of a single label.