chunk_content: update” matrices are added to the respective places.
  
  
  	Copied
  from peft import LoraConfig, get_peft_model
  
  config = LoraConfig(
      r=16,
      lora_alpha=16,
      target_modules=["query", "value"],
      lora_dropout=0.1,
      bias="none",
      modules_to_save=["classifier"],
  )
  lora_model = get_peft_model(model, config)
  print_trainable_parameters(lora_model)
  "trainable params: 667493 || all params: 86466149 || trainable%: 0.77"
  Let’s unpack what’s g