ModelCloud/GPTQModel
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
- Stars
- 1.3k
- Forks
- 212
- Open issues
- 20
- Last push
- today
About GPTQModel
GPTQModel is a free, open-source AI inference tool by ModelCloud, written mainly in Python. LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang. It has 1.3k GitHub stars and 212 forks, and was last updated today. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.
- License
- Not detected
- Language
- Python
- Stars
- 1,275
- Last update
- today
- 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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GPTQModel FAQ
Is GPTQModel free?
Yes. GPTQModel is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does GPTQModel run on a Mac?
Yes. According to the project, GPTQModel works on macOS.
Does GPTQModel need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is GPTQModel still maintained?
Yes. It was last updated today and has 20 open issues on GitHub.
What are alternatives to GPTQModel?
Similar free, open-source tools include vllm, nano-vllm, sglang, TensorRT-LLM.