chunk_content: trainable.
  
  Wrap the base model as a PeftModel for LoRA training
  	
  To leverage the LoRa method, you need to wrap the base model as a PeftModel.  This involves two steps:
  Defining LoRa configuration with LoraConfig
  Wrapping the original model with get_peft_model() using the config defined in the step above.
  
  
  	Copied
  from peft import LoraConfig, get_peft_model
  
  config = LoraConfig(
      r=32,
      lora_alpha=32,
      target_modules=["query", "value