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.
Compress large language models to run faster on various types of computer hardware.
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Free · no card · unsubscribe anytimeLLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
GPTQModel has 1.2k stars on GitHub. It has been forked 192 times. GPTQModel is written mainly in Python. It has been in active development since 2024. Its main topics are gptq, optimum, peft, quantization.
What is 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.
Is GPTQModel open source?
GPTQModel is an open-source project.
Is GPTQModel free?
Yes. GPTQModel is free and open source — you can use, modify and self-host it.
What language is GPTQModel written in?
GPTQModel is written mainly in Python.
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