er storage, such as torch.float16, because it only requires half the bandwidth and storage to download. You can’t use this variant if you’re continuing training or using a CPU.
Non-exponential mean averaged (EMA) weights which shouldn’t be used for inference. You should use these to continue finetuning a model.
💡 When the checkpoints have identical model structures, but they were trained on different datasets and with a different training setup