mini-Jev is a 0.6B agentic decision model specialized for finite-choice tool and action selection. Give it a state, a question, and candidate actions; it returns a probability for each candidate. It uses a Qwen3-0.6B backbone with an adapter and a compact decision head. Candidate scoring is permutation equivariant, and the model returns finite-choice probabilities rather than generated text or tool arguments. This is an early 10,626-update checkpoint. Training is planned through 50,000 updates; more training and broader decision supervision are coming. This interim release is not the final checkpoint. The current step-010626 checkpoint loads its adapter from adapter/, its decision-head…