Home /Open models and replicas /Verdict-open-jev
Verdict-open-jev
Non-autoregressive decision engine on ModernBERT with calibrated uncertainty and an in-browser WebGPU playground.
From the readme
OpenJev (Verdict): Non-Autoregressive Decision Engine (151M) OpenJev (Verdict) is an open-source, post-trained foundational decision model designed for structured software workflows, inspired by TypeSafe AI\'s Jev and Reinforcement Learning for Calibrated Decisions (RLCD). Instead of generating free-form conversational text that software must parse and …
Details
- Section
- Open models and replicas
- owner
- Heman10x-NGU
- stars
- 32
- forks
- 5
- pushed
- 2026-09-18
- Language
- Python
- License
- NOASSERTION
What it is
- Form
- Library or SDK
- Host agent
- Standalone
- Audience
- App developers
Maturity
Docs
reports measured numbersmocked or unclear Jev call