chunk_content: s any tokens during generation either:
  
  
  	Copied
  model.config.forced_decoder_ids = None
  model.config.suppress_tokens = []
  To get the model ready for int8 quantization, use the utility function prepare_model_for_int8_training to handle the following:
  casts all the non int8 modules to full precision (fp32) for stability
  adds a forward hook to the input embedding layer to calculate the gradients of the input hidden states
  enables gradient checkpoi