Overview This post is divided into five parts; they are: • Asymmetric Affine Quantization • Post-Training Quantization with PyTorch • GPTQ and AWQ • Quantizing a Model to GGUF • Evaluating Weight-Only Quantization Note: The code examples in this post use TorchAO and require a CUDA-enabled PyTorch installation.
