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[tests] add visual model save test (#8248)

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Co-authored-by: Yaowei Zheng <hiyouga@buaa.edu.cn>
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Kingsley 2025-06-05 20:38:01 +08:00 committed by GitHub
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tests/model/model_utils/test_visual.py
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@ -12,6 +12,8 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import pytest
import torch
from transformers import AutoConfig, AutoModelForVision2Seq
@ -76,3 +78,25 @@ def test_visual_lora(freeze_vision_tower: bool, freeze_language_model: bool):
assert (visual_param_name in trainable_params) != freeze_vision_tower
assert (language_param_name in trainable_params) != freeze_language_model
assert (merger_param_name in trainable_params) is False
def test_visual_model_save_load():
# check VLM's state dict: https://github.com/huggingface/transformers/pull/38385
model_args = ModelArguments(model_name_or_path="Qwen/Qwen2-VL-2B-Instruct")
finetuning_args = FinetuningArguments(finetuning_type="full")
config = AutoConfig.from_pretrained(model_args.model_name_or_path)
with torch.device("meta"):
model = AutoModelForVision2Seq.from_config(config)
model = init_adapter(config, model, model_args, finetuning_args, is_trainable=False)
loaded_model_weight = dict(model.named_parameters())
model.save_pretrained(os.path.join("output", "qwen2_vl"), max_shard_size="10GB", safe_serialization=False)
saved_model_weight = torch.load(os.path.join("output", "qwen2_vl", "pytorch_model.bin"), weights_only=False)
if is_transformers_version_greater_than("4.52.0"):
assert "model.language_model.layers.0.self_attn.q_proj.weight" in loaded_model_weight
else:
assert "model.layers.0.self_attn.q_proj.weight" in loaded_model_weight
assert "model.layers.0.self_attn.q_proj.weight" in saved_model_weight