Machine Learning, Transformers, Data Science, Python, Hugging Face.
models. What makes GPTQ stand out is its ability to quantize language models with hundreds of billions of parameters to the 3–4 bits/component range. This is a remarkable leap, as prior methods struggled to maintain accuracy below 8 bits and typically focused on smaller models. However, the study