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.
qwen-rlcd
Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B
Project facts
- Relationship to Jev
- Local alternative
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-16
- GitHub stars
- 4
- 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.
A prototype of a "System One" decision model, inspired by TypeSafe AI's **Jev**. The model takes a **state** (context) and a set of **typed questions**. In a single forward pass it returns **calibrated probability distributions** over a fixed set of answers, with no text generation.
Evidence commit: dc826604e52ffd2af73982d0db440d2514254518
Discovered through: awesome-jev.
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