Repo · Benchmarks & research
Verdict-open-jev
An open 151M decision model on ModernBERT, with a WebGPU playground.
Open github.com ↗From the repository
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
brier-scorecalibrationdecision-engineedge-aigliclassjevmodernbertonnxrlcdstructured-outputssystem-1typesafe-aiwebgpuzero-token-generation
How builders describe it
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
An encoder-side reproduction of Jev built on a retrained GLiClass ModernBERT base (151M): it evaluates multiple typed questions in one non-autoregressive forward pass, returning choices, ordinal scores, and probabilities under 35 ms.
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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