s1 is an open, calibrated System One decision model. Given a state (text or JSON) and a typed question, it returns a probability for every option in one forward pass, with no text generated: It is google/gemma-4-26B-A4B-it (mixture of experts, 26B total and about 4B active parameters) fine-tuned with LoRA on about 100,000 typed decision rows, and merged. Code, data and Held-out test sets. The released snapshot was chosen on separate dev splits by a rule fixed before training. - Mean accuracy over JevBench's 11 accuracy slices; ECE with 10 bins. Raw ECE is 0.083 (Jev: 0.081). - Paired against the untuned model on the same JevBench cases: 103 answers fixed, 58 broken (McNemar p = 0.0005).…
Independent publisher
Jayasimha
j-raghavan
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Models on Hugging Face1
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Published tasks: Text generation.
Reported licenses: apache-2.0. Open a record to review its specific license and conditions.
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