auto-round
A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
Optimize large language models for better performance with a specialized toolkit.
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Free · no card · unsubscribe anytimeA SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
auto-round has 1.5k stars on GitHub. It has been forked 155 times. auto-round is written mainly in Python. It has been in active development since 2024. auto-round is available under the Apache-2.0 license. Its main topics are diffusers, gguf, int4, llms.
What is auto-round?
A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.
Is auto-round open source?
auto-round is an open-source project. It is released under the Apache-2.0 license.
Is auto-round free?
Yes. auto-round is free and open source — you can use, modify and self-host it.
What license does auto-round use?
auto-round is available under the Apache-2.0 license.
What language is auto-round written in?
auto-round is written mainly in Python.
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