OpenGVLab / SDLM
[Accepted By EMNLP 2026 Main Conference] Sequential Diffusion Language Model (SDLM) enhances pre-trained autoregressive language models by adaptively determining generation length and maintaining KV-cache compatibility, achieving high efficiency and throughput.
Why this job: matched by what the repo talks about: diffusion, model, generation, train
What it does
In the following table, we provide an overview of the SDLM series.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 100
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
Topics
- diffusion-models
- gpt
- language-model
- llm
Project record
- JobImage generation
- StatusListed
- Commits13
- Forks5
- Watching0
- Stars in 28 days+1
- CreatedAug 25, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026