TypeError: CompressedLlamaDecoderLayer.forward() takes from 2 to 7 positional arguments but 8 were given
Author: qxpBlog
Pull request: no

### System Info

My version of ```transformers``` is ```4.42.0```.When i want to finetune a model, following problem happended:
```
Traceback (most recent call last):
  File "/home/iotsc01/xinpengq/LLM-Pruner-main/TransformerCompression-main/TransformerCompression-new/experiments/run_finetuning.py", line 388, in <module>
    finetuning_main(finetuning_args)
  File "/home/iotsc01/xinpengq/LLM-Pruner-main/TransformerCompression-main/TransformerCompression-new/experiments/run_finetuning.py", line 339, in finetuning_main
    trainer.train()
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/trainer.py", line 1932, in train
    return inner_training_loop(
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/trainer.py", line 2268, in _inner_training_loop
    tr_loss_step = self.training_step(model, inputs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/trainer.py", line 3307, in training_step
    loss = self.compute_loss(model, inputs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/trainer.py", line 3338, in compute_loss
    outputs = model(**inputs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/peft/peft_model.py", line 1003, in forward
    return self.base_model(
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/peft/tuners/tuners_utils.py", line 107, in forward
    return self.model.forward(*args, **kwargs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 1174, in forward
    outputs = self.model(
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 967, in forward
    layer_outputs = self._gradient_checkpointing_func(
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 249, in checkpoint
    return CheckpointFunction.apply(function, preserve, *args)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/autograd/function.py", line 506, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 107, in forward
    outputs = run_function(*args)
  File "/home/iotsc01/anaconda3/envs/xinpengq_env/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
TypeError: CompressedLlamaDecoderLayer.forward() takes from 2 to 7 positional arguments but 8 were given
```  

How can i address this problem?

### Who can help?

@amyeroberts@muellerzr @SunMarc

### 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

none

### Expected behavior

none

Comments:
Hi @qxpBlog, thanks for reporting an issue! 

Could you provide a minimal code snippet we could use to reproduce the error as well as more environment information (run `transformers-cli env` in the terminal and copy-paste the output)

> Hi @qxpBlog, thanks for reporting an issue!
> 
> Could you provide a minimal code snippet we could use to reproduce the error as well as more environment information (run `transformers-cli env` in the terminal and copy-paste the output)

Thanks for your answer，I have sloved this problem.

我也遇到了这个问题，请问如何解决？

> 我也遇到了这个问题，请问如何解决？

Just update all your packages

非常感谢您的回复。但我更新所有package以后仍然面临这个问题，烦请您发送一份pip list以便我能看到最合适的packages版本。 `pip freeze > requirements.txt`。期待您再次回复。

> 非常感谢您的回复。但我更新所有package以后仍然面临这个问题，烦请您发送一份pip list以便我能看到最合适的packages版本。 `pip freeze > requirements.txt`。期待您再次回复。

My version of package is same as ``` https://github.com/microsoft/TransformerCompression/blob/main/pyproject.toml ```

I fix this bug by adding a paprameter named "cache_position"
<img width="1053" alt="image" src="https://github.com/user-attachments/assets/bd71e041-af39-4682-8bb1-64d2d5e56e51">