The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...

I want to use pytorch-quantization to perform classification quantization of Deepstream7, which can be done normally in deepstream6. The process is to use torch ...

Quantization is a method of reducing the size of AI models so they can be run on more modest computers. The challenge is how to do this while still retaining as much of the model quality as possible, ...

Abstract: This study systematically investigates how quantization, a key technique for the efficient deployment of large language models (LLMs), affects model safety. We specifically focus on ...

Hi, thanks for the amazing work. I need some help understanding how to choose the layers for specific models, especially those without examples. I am currently looking at Qwen3-32b, which I see only ...