Reducing the size and increasing the speed of AI models is a key goal in today’s machine learning world. One effective way to do this is through model quantization, which minimizes the model’s memory footprint and boosts inference performance. This process is especially useful for deploying AI on resource-limited devices like gaming PCs or edge