jmaczan/tiny-vllm
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
- Stars
- 1.2k
- Forks
- 101
- Open issues
- 0
- Last push
- 28d ago
About tiny-vllm
tiny-vllm is a free, open-source AI inference tool by jmaczan, written mainly in C++. Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM. It has 1.2k GitHub stars and 101 forks, and was last updated 28d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- C++
- Stars
- 1,162
- Last update
- 28d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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tiny-vllm FAQ
Is tiny-vllm free?
Yes. tiny-vllm is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does tiny-vllm run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does tiny-vllm need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is tiny-vllm still maintained?
Yes. It was last updated 28d ago and has 0 open issues on GitHub.
What are alternatives to tiny-vllm?
Similar free, open-source tools include vllm, BentoML, llama.cpp, TensorRT-LLM.