MegaDLMs
GPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 training.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeGPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 training.
MegaDLMs has 344 stars on GitHub. It has been forked 36 times. MegaDLMs is written mainly in Python. It has been in active development since 2025. Its main topics are diffusion, large-language-models.
What is MegaDLMs?
GPU-optimized framework for training diffusion language models at any scale. The backend of Quokka, Super Data Learners, and OpenMoE 2 training.
Is MegaDLMs open source?
MegaDLMs is an open-source project.
Is MegaDLMs free?
Yes. MegaDLMs is free and open source — you can use, modify and self-host it.
What language is MegaDLMs written in?
MegaDLMs is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jinjieni-megadlms.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.