syv-ai/HyperQwen
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 1
- Stars
- 2.2k
- Forks
- 293
- Open issues
- 1
- Last push
- today
About HyperQwen
HyperQwen is a free, open-source AI inference tool by syv-ai, written mainly in Python. Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 1. It has 2.2k GitHub stars and 293 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 2,167
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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HyperQwen FAQ
Is HyperQwen free?
Yes. HyperQwen is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does HyperQwen run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does HyperQwen need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is HyperQwen still maintained?
Yes. It was last updated today and has 1 open issues on GitHub.
What are alternatives to HyperQwen?
Similar free, open-source tools include vllm, TensorRT-LLM, LMCache, BentoML.