Machine Learning, Transformers, Data Science, Python, Hugging Face.
Post-Training Quantization (PTQ): In PTQ, pre-trained models are quantized using relatively moderate resources, like a calibration dataset and a few hours of computational time. This method is particularly beneficial for large models, where full retraining or fine-tuning can be cost-prohibitive.