chunk_content: om peft import LoraConfig, get_peft_model
  
  config = LoraConfig(
      r=32,
      lora_alpha=32,
      target_modules=["query", "value"],
      lora_dropout=0.1,
      bias="lora_only",
      modules_to_save=["decode_head"],
  )
  lora_model = get_peft_model(model, config)
  print_trainable_parameters(lora_model)
  Let’s review the LoraConfig. To enable LoRA technique, we must define the target modules within LoraConfig so that
  PeftModel can update the necessary m