Large Language Models, Quantization, Machine Learning, Data Science, Hands On Tutorials.
bitsandbytes library to solve this issue. import numpy as np from copy import deepcopy # Store original weights weights = [param.data.clone() for param in model.parameters()] # Create model to quantize model_abs = deepcopy(model) # Quantize all model weights weights_abs = [] for param in