chunk_content: erence_mode": False,
  ...     "r": 8,
  ...     "target_modules": ["q", "v"],
  ...     "lora_alpha": 32,
  ...     "lora_dropout": 0.1,
  ...     "fan_in_fan_out": False,
  ...     "enable_lora": None,
  ...     "bias": "none",
  ... }
  
  >>> peft_config = get_peft_config(config)
  >>> model = AutoModelForSeq2SeqLM.from_pretrained("t5-base")
  >>> peft_model = PeftModelForSeq2SeqLM(model, peft_config)
  >>> peft_model.print_trainable_parameters()
  trainable params: 8