Details about the code

Really solid work!
I noticed that the proportion of non-zero parameters was counted after quantization. What is the motivation for this?
```
quant_sequential(model, dataloader, device)
for n, p in model.named_parameters():
    print(n, torch.mean((p == 0).float()))
    if "fc2" in n:
        break
```