Yinsongxu / LLM2Jev
Turn local language models into Jev-style structured decision models. Get results from text and images with prefill alone—no token-by-token decoding required.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- No training or fine-tuning. use existing model weights to make Jev-style decisions with models supported by SGLang, Transformers, or MLX on Apple Silicon.
- Chat and decisions share a service and model. with the SGLang backend, chat and /v1/systemone use the same inference engine and loaded model.
- Chat and decisions share a client. Client and AsyncClient extend the OpenAI Python SDK with systemone.create(), preserving its existing interfaces, authentication, timeouts, and retries. Endpoint availability depends on the backend.
- Prefill-only scoring. Choice, Score, and Noul read yes/no logits without generating answers. Box generates normalized image coordinates.
- Text and image decisions. combine text and images in state or instructions for classification, evaluation, and action selection.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 27 days ago
- Stars
- 491
- +10 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.0
- Released 28 days ago
- Built with
- Python
- 91% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 4 merged
- 1 waiting
- Releases
- 2
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 91%
- CSS 4%
- Vue 3%
- TypeScript 1%
Topics
- jev
- llm
- mllm
Project record
- JobOther AI tools
- StatusListed
- Commits40
- Forks55
- Watching2
- Stars in 28 days+47
- CreatedSep 19, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026