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 model_abs.parameters():
    _, dequantized = absmax_quantize(param.data)
    param.data = dequantized
    weights_abs.append(dequantized)

# Create model to quantize
model_zp = deepcopy(model)

# Quantize all model weights
weights_zp = []
for param in model_zp.parameters():
    _, dequantized = zeropoint_quantize(param.data)
    param.data = dequantized
    weights_zp.append(dequantized)