Local alternative
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Details →★ 21,612
Verdict-open-jev
Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-17
- GitHub stars
- 94
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
**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)**.
Evidence commit: 30f15564821626ca5c1ad5b2638c4eb7078787dd
Discovered through: awesome-jev.
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