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.
ground-zero
Eval framework library to evaluate AI hallucinations, correctness, and instruction following, powered by Jev AI.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- GitHub stars
- 0
- 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.
> While Jev is a System One model and is smart enough to make decisions based on provided JSON schema without needing to train a model, it can make mistakes such as score discrepancies and contradicting results. The idea of LLM-as-a-Judge is still an evolving area, therefore after using this tool, you must manually validate the results.
Evidence commit: cccd02c4a0083ca912d158c08f93bdc291469a9b
Discovered through: github-search.
How we review →