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[misc] remove safe_serialization arg for transformers v5 compatibility (#10208)

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Co-authored-by: P. Clawmogorov <262173731+Alm0stSurely@users.noreply.github.com>
This commit is contained in:
P. Clawmogorov
2026-02-24 04:14:19 +01:00
committed by GitHub
parent a0f3ad0cee
commit 50599c719b
1 changed files with 19 additions and 8 deletions
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27
src/llamafactory/train/tuner.py
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@@ -24,7 +24,7 @@ from ..data import get_template_and_fix_tokenizer
from ..extras import logging
from ..extras.constants import V_HEAD_SAFE_WEIGHTS_NAME, V_HEAD_WEIGHTS_NAME
from ..extras.misc import find_available_port, get_device_name, get_torch_device, infer_optim_dtype
from ..extras.packages import is_mcore_adapter_available, is_ray_available
from ..extras.packages import is_mcore_adapter_available, is_ray_available, is_transformers_version_greater_than
from ..hparams import RayArguments, get_infer_args, get_ray_args, get_train_args, read_args
from ..model import load_model, load_tokenizer
from .callbacks import LogCallback, PissaConvertCallback, ReporterCallback
@@ -160,17 +160,28 @@ def export_model(args: Optional[dict[str, Any]] = None) -> None:
model = model.to(output_dtype)
logger.info_rank0(f"Convert model dtype to: {output_dtype}.")
model.save_pretrained(
save_directory=model_args.export_dir,
max_shard_size=f"{model_args.export_size}GB",
safe_serialization=(not model_args.export_legacy_format),
)
# Prepare save arguments (safe_serialization removed in transformers v5.0.0)
save_kwargs = {
"save_directory": model_args.export_dir,
"max_shard_size": f"{model_args.export_size}GB",
}
if not is_transformers_version_greater_than("5.0.0"):
save_kwargs["safe_serialization"] = not model_args.export_legacy_format
model.save_pretrained(**save_kwargs)
if model_args.export_hub_model_id is not None:
# Prepare push arguments (safe_serialization removed in transformers v5.0.0)
push_kwargs = {
"max_shard_size": f"{model_args.export_size}GB",
}
if not is_transformers_version_greater_than("5.0.0"):
push_kwargs["safe_serialization"] = not model_args.export_legacy_format
model.push_to_hub(
model_args.export_hub_model_id,
token=model_args.hf_hub_token,
max_shard_size=f"{model_args.export_size}GB",
safe_serialization=(not model_args.export_legacy_format),
**push_kwargs,
)
if finetuning_args.stage == "rm":