A typed decision model. Give it a state and named questions; it returns choices, scores and probabilities, never free-form text.
Docs GitHub Weights Training history
Each answer option maps to a single label token. Jet reads the next-token logits for those labels only, divides by a temperature fitted on held-out data, and applies softmax. One forward pass per question, no sampling. Answers always follow the requested type, but decisions can still be wrong.
| Type | Criteria | Answer |
|---|---|---|
choice | 2–255 named options | Selected key, probability per key |
score | 2–10 ordered levels | Fractional score, level, probabilities |
noul | None | Probability that the answer is yes |
The official leaderboard, run by its maintainers on the full suite: 110,201 requests across 42 benchmarks, published October 7, 2026. Qwen3.5-4B models shown; Jet v6.2 scores 40.01, rank 52 of 113.
The index weights public benchmarks 20%, same skills 50% and new domains 30%, after equating each part across models. Scores within 0.9 points are tied, as Jet is with its neighbors. Jet answered 109,958 requests; 243 exceed its 16,384-token prompt limit. Details · Leaderboard
Decision Index skill score per area.
Strongest at tools and retrieval, weakest at knowledge and reasoning. Calibration: 66% accurate at 80% mean confidence (ECE 0.14), so confidences run high.
914 fixed cases, full merged BF16 weights.
Small changes; not statistically significant. Financial sentiment measures SEntFiN transfer, not FinEntity.
Real outputs recorded in the model's reference file (Jet V5, Qwen3-0.6B, calibrated). Pick a case to see the request and the typed answer.
For live inference, run the model locally; see Run it.
The v6.2 release is self-contained: merged bf16 weights plus the CUDA runtime.
hf download michaljach/jet --revision v6.2.0 --local-dir jet
cd jet && python -m pip install -r requirements.txt
echo '{"state":"I was charged twice this month.",
"questions":{"billing":{"type":"noul",
"instructions":"Is this a billing issue?"}}}' | python jet.py