Repo · Benchmarks & research
openJev-verdict-2.0
A 151M non-autoregressive decision engine, with its numbers published.
Open github.com ↗From the repository
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
agentic-aibrier-scorecalibrationdecision-enginedeep-learningencoderjevmachine-learningmodernbertnon-autoregressiveonnxopenjevrlcdselective-predictionstructured-outputssystem-onetext-classificationtypesafe-aiuncertainty-quantificationwebgpu
How builders describe it
Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE).
A ModernBERT-based open decision model that evaluates Choice, Score, and Noul schemas in one non-autoregressive pass; Verdict 2.0 reports 77.10% accuracy on 2,000 held-out enterprise decisions.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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