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.
open-jev
Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results
Project facts
- Relationship to Jev
- Local alternative
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-16
- GitHub stars
- 39
- 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.
The goal is to explore how close an open diffusion model can get to TypeSafe AI's Jev on structured judgments. This is an independent experiment, not a reproduction of Jev's architecture, training, calibrated probabilities, or published workflow scores.
Evidence commit: 50d32c7e542dd714c89bb223e8fc8c0b2b3d0d9c
Discovered through: awesome-jev.
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