Jehosephat is a non-autoregressive decision model that answers questions about text or structured data. It returns probability distributions over your supplied questions in one forward pass, without generating text. Several questions may be asked in parallel. Questions can select a category (choice), score ordered levels (score), or estimate the probability of a proposition (noul). The model architcture is a Qwen3-1.7B-Base backbone with a rank-32 LoRA adapter and a shared scalar decision head. Jehosephat is inspired by TypeSafe's Jev, and so the query schema draws on TypeSafe Primitives. Load Jehosephat and ask named questions: The model weights download automatically on first use.…