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Large World Model and Ring Attention
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上游 issue 正文
### Model description
Ring Attention is a new kind of attention that can expand the context size reliably (tested with precise needle search) up to several _million_ tokens. See https://arxiv.org/abs/2310.01889.
One of the models trained with RingAttention is multimodal Large World Model https://largeworldmodel.github.io/
I believe this attention replacement can be crucial for future LLMs (and not only), and should be included with the Transformers library
### Open source status
- [X] The model implementation is available
- [X] The model weights are available
### Provide useful links for the implementation
LWM checkpoints https://huggingface.co/LargeWorldModel
Ring Attention in PyTorch by Lucidrains https://github.com/lucidrains/ring-attention-pytorch
LWM in Jax https://github.com/LargeWorldModel/LWM
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