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"""
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."
)
do_merge_lora(cfg=parsed_cfg, cli_args=parsed_cli_args)
if __name__ == "__main__":
fire.Fire(do_cli)
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