Kev

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, ROCm, and Apple Silicon (MLX). The 4B and 9B models fit a 32 GB Mac; see Serving Performance for what to expect.
• 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.