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. Or try Kev-4B and Kev-0.8B in the browser at huggingface.co/spaces/jaredpalmer/kev , no install needed. Quick Start You'll need Python 3.12+ and uv .…