| """ | |
| CLI to run merge a trained LoRA into a base model | |
| """ | |
| from pathlib import Path | |
| import fire | |
| import transformers | |
| from axolotl.cli import do_merge_lora, load_cfg, print_axolotl_text_art | |
| from axolotl.common.cli import TrainerCliArgs | |
| def do_cli(config: Path = Path("examples/"), **kwargs): | |
| # pylint: disable=duplicate-code | |
| print_axolotl_text_art() | |
| parser = transformers.HfArgumentParser((TrainerCliArgs)) | |
| parsed_cli_args, _ = parser.parse_args_into_dataclasses( | |
| return_remaining_strings=True | |
| ) | |
| parsed_cli_args.merge_lora = True | |
| parsed_cfg = load_cfg( | |
| config, | |
| merge_lora=True, | |
| load_in_8bit=False, | |
| load_in_4bit=False, | |
| flash_attention=False, | |
| **kwargs, | |
| ) | |
| if not parsed_cfg.lora_model_dir and parsed_cfg.output_dir: | |
| parsed_cfg.lora_model_dir = parsed_cfg.output_dir | |
| if not Path(parsed_cfg.lora_model_dir).exists(): | |
| raise ValueError( | |
| f"Target directory for merge: `{parsed_cfg.lora_model_dir}` does not exist." | |
| ) | |
| parsed_cfg.load_in_4bit = False | |
| parsed_cfg.load_in_8bit = False | |
| parsed_cfg.flash_attention = False | |
| do_merge_lora(cfg=parsed_cfg, cli_args=parsed_cli_args) | |
| if __name__ == "__main__": | |
| fire.Fire(do_cli) | |