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.
jevbench
Benchmark TypeSafe JEV against LLMs, fine-tuned BERT, Laya and zero-shot NLI on text classification: accuracy, calibration, latency, throughput, cost
Project facts
- Relationship to Jev
- Local alternative
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- GitHub stars
- 5
- 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.
| `jev` | TypeSafe `typesafe/jev-1.13`, a "System One" model. One `choice` question per example, returns per-label probabilities. | OpenRouter **Decisions API** (`/api/alpha/decisions`, not chat completions) |
Evidence commit: c983cc4a7dd9fc142ca3b6c7a813cae0e963c902
Discovered through: awesome-jev.
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