A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
jevfire: JEV-inspired parallel decisions for CUDA LLMs
kikoncuo/jevfire
VerifiedResearchDocumented
jevfire: JEV-inspired parallel decisions for CUDA LLMs. Explore the Jev references, JavaScript source code and similar projects.
Repository description: JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/kikoncuo/jevfire.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- JavaScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-16
- Last code update
- 2026-09-18
- GitHub stars
- 72
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
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.
we have not reproduced Jev's training or architecture. We read scores for verified
Evidence commit: 5df83b558bf635e006d31f8f2fc2798d0e3ff051
Discovered through: awesome-jev.
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