I trained a model, but i need to modify one of the model state dict, so i use following code to modify the value of specified step key:
def modify_model_state_dict():
    path = f"/media/wwd/2THardDisk/models/base.pt"
    checkpoint = torch.load(path)  # my checkpoint contains two parts:  'model_state' and "optimizer_state"
    new_state_dict = checkpoint['model_state'].copy()
    new_state_dict['step'] = torch.tensor([1], device='cuda:0')  # reset the step to 1
    new_path = path[:-3] + '_new.pt'
    torch.save({
                "model_state": new_state_dict,
                "optimizer_state": checkpoint["optimizer_state"],
            }, new_path)

modify_model_state_dict()

After i saved the modified model, i checked its size, found that its size is 526,147,901 Bytes while original model size is 526,153,469 Bytes, so i am curious why the model size becomes smaller, where does the 5568 Bytes go ？ Does this means some infomation is lost ？