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-spam-eval
Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Jupyter Notebook
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-17
- GitHub stars
- 2
- 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.
> **What zero-shot means here:** Jev's weights were not updated for these tasks, and its requests contained no labeled demonstrations. Some specifications and experiment choices were informed by earlier labeled errors, so this is zero-shot inference, not a claim of development without labeled feedback. Results are exploratory, use `jev-1.13.0`, and cannot establish whether the public corpora were unseen during pretraining.
Evidence commit: a3757a1b3412177a686c1b4d95227b50a8f73537
Discovered through: awesome-jev, typesafe-field-guide.
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