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Inference & serving

localai-org/vllm.cpp

a community oriented 1:1, vLLM-alike (Continuous batching, paged KV) engine in C++ with additional features (GGUF, RadixAttention, Cache-aware scheduling, ...)

Really freeApache-2.0Runs on MacCPU only OKC++
Stars
453
Forks
54
Open issues
356
Last push
today

About vllm.cpp

vllm.cpp is a free, open-source AI inference tool by localai-org, written mainly in C++. a community oriented 1:1, vLLM-alike (Continuous batching, paged KV) engine in C++ with additional features (GGUF, RadixAttention, Cache-aware scheduling, ...). It has 453 GitHub stars and 54 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU and works on macOS.

License
Apache-2.0
Language
C++
Stars
453
Last update
today
Runs on Mac
Yes (as stated by the project)
GPU
Not needed (runs on CPU)
Paid API key
Not required
Self-hostable
Not stated

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vllm.cpp FAQ

Is vllm.cpp free?

Yes. vllm.cpp is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does vllm.cpp run on a Mac?

Yes. According to the project, vllm.cpp works on macOS.

Does vllm.cpp need a GPU?

No. According to the project, vllm.cpp runs on a regular CPU.

Is vllm.cpp still maintained?

Yes. It was last updated today and has 356 open issues on GitHub.

What are alternatives to vllm.cpp?

Similar free, open-source tools include vllm, TensorRT-LLM, nano-vllm, llama.cpp.

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