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
jev-laya-benchmark
Speed and accuracy benchmark: TypeSafe's Jev API vs the local Laya MLX typed-decision model on synthetic tasks
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-21
- GitHub stars
- 3
- 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.
Speed and accuracy of [Jev] (TypeSafe's hosted System One model, `jev-1.13.0`) against [Laya] (open-weight typed-decision models, run locally with MLX on Apple silicon), on 1,470 synthetic items across eight typed-decision tasks, plus controlled latency and throughput sweeps.
Evidence commit: 0f977d20641e347bffee05745fed265858930489
Discovered through: github-search.
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