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-korean-benchmark
Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-17
- GitHub stars
- 6
- 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.
Can you use TypeSafe Jev on Korean text, or should you translate everything to English first? This is a small, frozen, reproducible check that tries to answer that — 100 questions per cell, drawn from four public test sets, with every response recorded. It is a sample check, not a benchmark: 100 questions give roughly ±8 points of uncertainty, so small differences here are not findings.
Evidence commit: 2c983b7f6e7f1c2baf7e078161eae3698420f3de
Discovered through: awesome-jev.
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