[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
Run a technique to reduce the size of large language models for better performance on your own hardware.
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OmniQuant has 911 stars on GitHub. It has been forked 87 times. OmniQuant is written mainly in Python. It has been in active development since 2023. OmniQuant is available under the MIT license. Its main topics are large-language-models, llm, quantization.
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
OmniQuant is an open-source project. It is released under the MIT license.
Yes. OmniQuant is free and open source — you can use, modify and self-host it.
OmniQuant is available under the MIT license.
OmniQuant is written mainly in Python.
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