Dream 7B

### Model/Pipeline/Scheduler description

https://hkunlp.github.io/blog/2025/dream/

> In short, Dream 7B:
>
> - consistently outperforms existing diffusion language models by a large margin;
> - matches or exceeds top-tier Autoregressive (AR) language models of similar size on the general, math, and coding > abilities;
> - demonstrates strong planning ability and inference flexibility that naturally benefits from the diffusion modeling.

Basically a new SotA diffusion-based LLM. It would be great to introduce LLMs to the library's roster.

### Open source status

- [x] The model implementation is available.
- [x] The model weights are available (Only relevant if addition is not a scheduler).

### Provide useful links for the implementation

**Team**: Jiacheng Ye*, Zhihui Xie*, Lin Zheng*, Jiahui Gao*, Zirui Wu, Xin Jiang, Zhenguo Li, and Lingpeng Kong.
**Affiliations**: The University of Hong Kong, Huawei Noah’s Ark Lab

[Base HF Link](https://huggingface.co/Dream-org/Dream-v0-Base-7B)
[Instruction-tuned HF Link](https://huggingface.co/Dream-org/Dream-v0-Instruct-7B)
[Codebase](https://github.com/HKUNLP/Dream)

リンクされている Dream のコードベースと、Hugging Face の Base および Instruction-tuned モデルページから始めて、実装と利用可能な重みを理解してください。Dream 7B モデルが diffusers ライブラリに導入され、ドキュメントに記載された使用方法がサポートされれば完了です。

索引モデルが issue の本文から書いたものです。