chunk_content: config = LoraConfig(
  ...     r=4, lora_alpha=16, target_modules=target_modules, lora_dropout=0.1, bias="none", task_type="CAUSAL_LM"
  ... )
  
  >>> model = transformers.GPTJForCausalLM.from_pretrained(
  ...     "kakaobrain/kogpt",
  ...     revision="KoGPT6B-ryan1.5b-float16",  # or float32 version: revision=KoGPT6B-ryan1.5b
  ...     pad_token_id=tokenizer.eos_token_id,
  ...     use_cache=False,
  ...     device_map={"": rank},
  ...     torch_dtype=torch.f