LLM2Jev: Turn LLMs into Jev-Style Decision Models 简体中文 LLM2Jev adapts local language models to Jev-style structured decisions. It accepts runtime-defined , , and questions and returns typed answers with probabilities. LLM2Jev is an independent open-source project. It is not affiliated with or endorsed by Jev or TypeSafe. Installation Clone the repository: SGLang is the recommended backend on Linux with a supported NVIDIA GPU.
| Stars | 452 |
| Forks | 50 |
| Language | Python |
| Category | LLM 插件 |
| License | Apache-2.0 |
| Quality Score | 67.1920979487492/100 |
| Last Updated | 2026-10-16 |
| Created | 2026-09-19 |
| Platforms | python |
| Est. Tokens | ~14k |
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LLM2Jev is 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.. It is categorized as a LLM 插件 with 452 GitHub stars.
LLM2Jev is primarily written in Python. It covers topics such as jev, llm, mllm.
You can find installation instructions and usage details in the LLM2Jev GitHub repository at github.com/Yinsongxu/LLM2Jev. The project has 452 stars and 50 forks, indicating an active community.
LLM2Jev is released under the Apache-2.0 license, making it free to use and modify according to the license terms.