kikoncuo/jevfire
JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
- Stars
- 76
- Forks
- 8
- Open issues
- 2
- Last push
- 1mo ago
jevfire star history
+0 this week
About jevfire
jevfire is a free, open-source AI inference tool by kikoncuo, written mainly in JavaScript. JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks. It has 76 GitHub stars and 8 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- JavaScript
- Stars
- 76
- Last update
- 1mo 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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jevfire FAQ
Can I use jevfire commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is jevfire free?
Yes. jevfire is open source and free to use. It's released under the MIT license, a standard open-source license.
Does jevfire run on a Mac?
Yes. According to the project, jevfire works on macOS.
Does jevfire need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is jevfire still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to jevfire?
Similar free, open-source tools include vllm, llm-action, ai-infra-book, mlc-llm.
Maintain jevfire?
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