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.
- Stars
- 459
- Forks
- 50
- Open issues
- 0
- Last push
- 6d ago
About LLM2Jev
LLM2Jev is a free, open-source LLM chat app by Yinsongxu, written mainly in Python. 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 has 459 GitHub stars and 50 forks, and was last updated 6d ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Language
- Python
- Stars
- 459
- Last update
- 6d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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LLM2Jev FAQ
Is LLM2Jev free?
Yes. LLM2Jev is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does LLM2Jev run on a Mac?
Yes. According to the project, LLM2Jev works on macOS.
Does LLM2Jev need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is LLM2Jev still maintained?
Yes. It was last updated 6d ago and has 0 open issues on GitHub.
What are alternatives to LLM2Jev?
Similar free, open-source tools include Hands-On-Large-Language-Models, Qwen, gpt_academic, FinGPT.