Glm4vConfig object has no attribute 'hidden_size'

### 🐛 Describe the bug

I'm training GLM-4.6V-Flash with SFTTrainer and get this error when `use_liger_kernel=True`:

```
[rank0]: Traceback (most recent call last):
[rank0]: File "/opt/ml/models/train_lora_accelerate.py", line 362, in
[rank0]: trainer.train()
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/trainer.py", line 1424, in train
[rank0]: return inner_training_loop(
[rank0]: ^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/trainer.py", line 1506, in _inner_training_loop
[rank0]: self._run_epoch(
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/trainer.py", line 1734, in _run_epoch
[rank0]: tr_loss_step = self.training_step(model, inputs, num_items_in_batch)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/trl/trainer/sft_trainer.py", line 1338, in training_step
[rank0]: return super().training_step(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/trainer.py", line 1906, in training_step
[rank0]: loss = self.compute_loss(model, inputs, num_items_in_batch=num_items_in_batch)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/trl/trainer/sft_trainer.py", line 1234, in compute_loss
[rank0]: (loss, outputs) = super().compute_loss(
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/trainer.py", line 1978, in compute_loss
[rank0]: outputs = model(**inputs)
[rank0]: ^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1787, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/deepspeed/utils/nvtx.py", line 18, in wrapped_fn
[rank0]: ret_val = func(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/deepspeed/runtime/engine.py", line 1987, in forward
[rank0]: loss = self.module(*inputs, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1787, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/peft/peft_model.py", line 1923, in forward
[rank0]: return self.base_model(
[rank0]: ^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py", line 1787, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/peft/tuners/tuners_utils.py", line 311, in forward
[rank0]: return self.model.forward(*args, **kwargs)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/liger_kernel/transformers/model/glm4v.py", line 130, in lce_forward
[rank0]: hidden_size=self.config.hidden_size,
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: File "/usr/local/lib/python3.12/dist-packages/transformers/configuration_utils.py", line 164, in __getattribute__
[rank0]: return super().__getattribute__(key)
[rank0]: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]: AttributeError: 'Glm4vConfig' object has no attribute 'hidden_size'
```
Seems related to [this issue](https://github.com/linkedin/Liger-Kernel/issues/1012) but installing from source didn't fix the issue.

### Reproduce

_No response_

### Versions

Environment Report:
-------------------
Operating System: Linux-5.15.0-164-generic-x86_64-with-glibc2.35
Python version: 3.12.13
Liger Kernel version: 0.7.0
PyTorch version: 2.10.0+cu129
CUDA version: 12.9
HIP(ROCm) version: Not available
Triton version: 3.6.0
Transformers version: 5.3.0
XPU version: XPU Not Available

Start at liger_kernel/transformers/model/glm4v.py line 130, where lce_forward reads config.hidden_size, and compare the behavior with Glm4vConfig in the reported Transformers version. Reproduce with SFTTrainer and use_liger_kernel=True using the listed environment versions, then verify that GLM-4.6V-Flash training no longer raises this AttributeError.

Written by the indexing model from the issue text.