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.
TypeLLM
TypeLLM: LLMs with type-safe generation
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Apache-2.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-17
- GitHub stars
- 40
- 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.
TypeLLM was inspired by [TypeSafe AI's Jev], while pursuing a different goal: extending autoregressive LLMs with typed outputs and richer interaction patterns without changing their architecture or weights. It keeps the models’ original generation and reasoning capabilities while adding multiple output types. TypeLLM is built on [SGLang] and works with existing open models.
Evidence commit: 5ee9716892dd03eeaafd7c70b7b42f871c8820f5
Discovered through: awesome-jev.
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