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cli support for positional arguments model #979

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Merged
merged 1 commit into from
Nov 3, 2025
Merged

cli support for positional arguments model #979

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15 changes: 14 additions & 1 deletion auto_round/__main__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,10 +36,17 @@
class BasicArgumentParser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.add_argument(
"model",
default=None,
nargs="?",
help="Path to the pre-trained model or model identifier from huggingface.co/models. "
"Examples: 'facebook/opt-125m', 'bert-base-uncased', or local path like '/path/to/model'",
)
basic = self.add_argument_group("Basic Arguments")
basic.add_argument(
"--model",
"--model_name",
"--model",
"--model_name_or_path",
default="facebook/opt-125m",
help="Path to the pre-trained model or model identifier from huggingface.co/models. "
Expand Down Expand Up @@ -433,6 +440,9 @@ def setup_parser(recipe="default"):


def tune(args):
assert args.model or args.model_name, "[model] or --model MODEL_NAME should be set."
if args.model is None:
args.model = args.model_name
if args.eval_bs is None:
args.eval_bs = "auto"
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer
Expand Down Expand Up @@ -785,6 +795,9 @@ def setup_eval_parser():

def run_eval():
args = setup_eval_parser()
assert args.model or args.model_name, "[model] or --model MODEL_NAME should be set."
if args.model is None:
args.model = args.model_name
if args.eval_task_by_task:
eval_task_by_task(
model=args.model,
Expand Down
9 changes: 8 additions & 1 deletion auto_round/eval/eval_cli.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,8 +28,15 @@ class EvalArgumentParser(argparse.ArgumentParser):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.add_argument(
"--model",
"model",
default=None,
nargs="?",
help="Path to the pre-trained model or model identifier from huggingface.co/models. "
"Examples: 'facebook/opt-125m', 'bert-base-uncased', or local path like '/path/to/model'",
)
self.add_argument(
"--model_name",
"--model",
"--model_name_or_path",
default="facebook/opt-125m",
help="Path to the pre-trained model or model identifier from huggingface.co/models. "
Expand Down