modeling_llama - LlamaAttention attempts to subscript `None` position_ids
### System Info

- `transformers` version: 4.28.0.dev0
- Platform: Linux-5.15.0-67-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- Huggingface_hub version: 0.13.3
- Safetensors version: 0.3.0
- PyTorch version (GPU?): 2.0.0+cu117 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No

### Who can help?

@gante 

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

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

### Reproduction

When trying to convert llama weights with https://github.com/qwopqwop200/GPTQ-for-LLaMa I encountered the following:

```
❯ CUDA_VISIBLE_DEVICES=0 python llama.py ./models/hf/13B/llama-13b c4 --wbits 4 --true-sequential --act-order --new-eval --save_safetensors llama-13b-4bit.safetensors
Starting ...
Ready.
Traceback (most recent call last):
  File "./GPTQ-for-LLaMA/llama.py", line 449, in <module>
    quantizers = llama_sequential(model, dataloader, DEV)
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "./GPTQ-for-LLaMA/llama.py", line 100, in llama_sequential
    outs[j] = layer(inps[j].unsqueeze(0), attention_mask=attention_mask)[0]
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 311, in forward
    hidden_states, self_attn_weights, present_key_value = self.self_attn(
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 220, in forward
    query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids)
  File "./GPTQ-for-LLaMA/venv/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 132, in apply_rotary_pos_emb
    gather_indices = position_ids[:, None, :, None]  # [bs, 1, seq_len, 1]
TypeError: 'NoneType' object is not subscriptable
```

This appears to be due to a recent change in 7dcd8703ef904adc3ac19b47f769879221c33849 - LlamaAttention passes position_ids  to apply_rotary_pos_emb, but defaults them to `None` and does not generate them if missing (unlike LlamaModel, which appears to generate them).

### Expected behavior

`None` position_ids should not be passed to `apply_rotary_pos_emb`.

I'm not quite sure of what the right fix here is, but at a minimum, I suspect that if the caller is expected to provide them, defaulting to `None` is incorrect.
Sorry, I failed to autocomplete @gante 's handle on the inital ticket. Adding a comment for the tag.<|||||>Hey @cheald 👋 

For context, `position_ids` is required for correct behavior with left-padding, which in turn is needed for batched generation. Having a look at the issue!<|||||>Yup. I don't have the context to grok the proper place to be creating and passing them, but it seems like an interface error, at the minimum, to make a parameter optional and then use it non-optionally.<|||||>@cheald The issue stems from the `GPTQ-for-Llama` package, which should catch all intermediary inputs for proper quantization. I've [opened an issue there](https://github.com/qwopqwop200/GPTQ-for-LLaMa/issues/89). You can follow it and make the corresponding local changes, which should work 🤗 

However, the ball is on their side -- the changes we made are retrocompatible with our public API and, while we avoid creating these sort of issues, we have no bandwidth to fix problems regarding the use of internal variables/methods.

Is there anything else I can help you with? :)<|||||>All good. I'd suggest that an interface change to LlamaAttention to remove the `None` default value for `position_ids` would be appropriate, making the parameter required; it seems like a bit of a landmine to have a nominally optional argument which causes an exception if it's not provided (or, perhaps, at least an explicit check and exception if they're missing).

If the answer is "no, for the purposes of API compatibility", then that's fine, but at least then this ticket might help the next person to run into it!

Thanks so much - I realize this is cut-myself-on-the-bleeding-edge stuff, but I appreciate the swift help!<|||||>@cheald Due to Llama's popularity, I've made an exception -- [this PR](https://github.com/huggingface/transformers/pull/22409) should make it retrocompatible. Would you be able to test it on your end? 🤗 <|||||>I'll test it in a bit. Thank you so much (for this, and for all the amazing work you do on the transformers project!)<|||||>My quantization pass is still running (it takes quite some time), but it appears this is working as intended. Thank you! :tada: <|||||>@cheald hehe it turns out it is no longer needed, as the maintainers of `GPTQ-for-Llama` have pushed a fix on their end!