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Heman10x-NGU/openJev-verdict-2.0

A 151M-parameter non-autoregressive decision model, inspired by Jev's approach but trained independently, evaluated on the LocalLLaMA typed-decisions benchmark at 77.10% accuracy, 0.0636 Brier score and 0.0144 expected calibration error.

JevBench Score Leaderboard: openJev Verdict v1.4
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Heman10x-NGU/openJev-verdict-2.0 on GitHub

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281
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42
Language
Python
Last push
20 Sep 2026

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