use untyped storage for dtensors due to deprecation
Author: winglian
Pull request: yes

# What does this PR do?

TypedStorge has been deprecated for a while now https://github.com/pytorch/pytorch/commit/ee28b865ee9c87cce4db0011987baf8d125cc857 and I'm getting this warning when using TP

```
/root/miniconda3/envs/py3.11/lib/python3.11/site-packages/transformers/pytorch_utils.py:302: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
```

similarly, the nbytes size should be based on the underlying storage similar to the accelerate implementation
https://github.com/huggingface/accelerate/blob/2f075c724ccb4e38fade64db3b0627ca167b5fd2/src/accelerate/utils/modeling.py#L201-L202

Fixes # (issue)


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Comments:
looks legit but cc @cyrilvallez for TP!

cc @S1ro1 for a quick check!

Will check this, talked about this with Wing and we have been experiencing some issues (maybe because of it), will revisit and improve, the deprecation warning is not pressing matter, as it's still around even in main torch.