Small Jev-like decision models you can train and run yourself.

Kev is a family of small decision models built on Qwen3.5 and based on the architecture described in Jev's Architecture Unmasked . You can use the pretrained weights or train your own. The API matches TypeSafe's System One , so you can point their Python SDK at your local server.

Highlights

0.8B, 4B, and 9B models, with training code and evaluation data.

Yes/no ( noul ), multiple-choice ( choice ), and rating ( score ) questions in the same request.

Questions share the input text but can't read each other.

Runs on CUDA and Apple Silicon. The 4B and 9B models fit a 32 GB Mac using bf16; see Serving Performance for what to expect on a Mac.

A web playground for trying your own inputs and checking how option order affects the answers.…