Zhiwei Li

An open 0.6B "System One" decision model aligned with the public Jev HTTP contract: state + questions in, complete calibrated probability distributions out, zero autoregressive decoding. GLM-5.3-flash structured teacher distillation, CE + Brier, best-step selection and calibration-split temperature fitting. One RTX 4080 SUPER, ~65 min, full recipe in the repo. - Results (fixed held-out websites): choice top-1-in-positives 0.380 (test) / 0.500 (ood) vs uniform 0.089; noul accuracy 0.84 / Brier 0.142; real Jev-1.13 reaches 0.543 / 0.610 on the same questions. Or serve the Jev-compatible HTTP API: python -m openjev.serve --checkpoint-dir --port 8123. Full pipeline (data synthesis → streaming…