System Info

• transformers version: 4.57.1
• Platform: Linux-6.14.0-29-generic-x86_64-with-glibc2.39
• Python version: 3.11.10
• Huggingface_hub version: 0.34.4
• Safetensors version: 0.6.2
• Accelerate version: 1.10.1
• Accelerate config: not found
• DeepSpeed version: not installed
• PyTorch version (accelerator?): 2.8.0+cu128 (CUDA)
• Tensorflow version (GPU?): not installed (NA)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Using distributed or parallel set-up in script?:
• Using GPU in script?:
• GPU type: NVIDIA GeForce RTX 4090

Who can help?

No response

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

import tempfile
from transformers import AutoConfig

cfg = AutoConfig.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
assert cfg.model_type == "qwen2_vl"

with tempfile.TemporaryDirectory() as tmp_dir:
    cfg.save_pretrained(tmp_dir)

    new_cfg = AutoConfig.from_pretrained(tmp_dir)

    assert new_cfg.model_type == "qwen2_vl"  # Expected "qwen2_vl", but got "qwen2_vl_text".

Expected behavior

when Qwen2VLConfig is saved and then loaded again.
Expected model_type is "qwen2_vl", but got "qwen2_vl_text".

Qwen2_5_VLConfig also has the same bug.

This bug is caused by PR#41158