
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.





















