Suggestion: Integrate DeepSpeed-Ulysses with Head Dimensional Splitting to Form a 5D Parallelism Scheme

Thank you for your excellent work and elegant code!

I noticed that your current implementation already supports various parallelism strategies, but if you could additionally integrate DeepSpeed-Ulysses with head dimensional splitting, it would form a **5D Parallelism** scheme. This would further enhance the scalability and efficiency of training large models.

I recommend considering our Ulysses + Ring Unified Sequence Parallelism (USP) approach, as described in our paper [USP: A Unified Sequence Parallelism Approach for Long Context Generative AI](https://arxiv.org/abs/2405.07719).

We have a Ulysses+Ring hybrid sequence parallel implementation here.

https://github.com/feifeibear/long-context-attention

No source file, test, or entry point is named in the issue. Start by reviewing Picotron's existing parallelism implementation, then read the linked USP paper and the long-context-attention repository to determine the intended integration scope; done should mean a defined and working 5D parallelism scheme with validation in the project's existing training paths.

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