Sumi: Open Uniform Diffusion Language Model from Scratch
Researchers have proposed Sumi, an open uniform diffusion language model trained from scratch with large parameter scale and token budget. Sumi aims to fill the gap in uniform diffusion models, which currently lack large-scale pretrained counterparts. The model enables flexible generation by allowing any token to be updated at any step. You can study Sumi's architecture and performance on language modeling tasks.
Key takeaways
- Sumi is a uniform diffusion language model pretrained from scratch.
- It allows flexible generation by updating any token at any step.
- No large-scale pretrained uniform diffusion models existed before Sumi.
Researchers have proposed Sumi, an open uniform diffusion language model trained from scratch with large parameter scale and token budget. Sumi aims to fill the gap in uniform diffusion models, which currently lack large-scale pretrained counterparts. The model enables flexible generation by allowing any token to be updated at any step. You can study Sumi's architecture and performance on language modeling tasks.
Key takeaways
- Sumi is a uniform diffusion language model pretrained from scratch.
- It allows flexible generation by updating any token at any step.
- No large-scale pretrained uniform diffusion models existed before Sumi.