llm tool to help with quantization


To decrease the size and memory footprint of machine learning models, a technique called quantization is employed. This method, akin to lossy image compression, converts model weights into lower precision formats such as 8-bit or 4-bit. While this significantly reduces resource demands, it's important to note that, like image compression, quantization can potentially lead to a reduction in the model's accuracy.

Tool that you can use are 

https://github.com/ModelCloud/GPTQModel

https://github.com/casper-hansen/AutoAWQ


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