ZHZisZZ/dllm
dLLM: Simple Diffusion Language Modeling
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 2 contributors on GitHub.
Gained 75% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Implements scalable training, finetuning, and evaluation pipelines for diffusion-based language models using Python.
- Unifies diffusion language model workflows with support for advanced distributed training and open-weight model recipes.
- Use for developing and experimenting with state-of-the-art diffusion language models like LLaDA and Dream.
- Use for converting autoregressive or BERT models into diffusion models for novel NLP applications.
- Use for educational purposes to learn and extend diffusion language modeling techniques including edit operations.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
- Owned by an individual account with only 2 contributors on GitHub; plan for bus-factor risk.
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Simple Diffusion Language Modeling
[2025/12] 🤗
Tiny-A2D: We released a collection of SOTA small (0.5B/0.6B) diffusion models adapted from AR models, with fully open recipes for converting ANY AR model (e.g., Qwen, LLaMA, and GPT-2) into a diffusion model. Seeexamples/a2dfor training / inference / evaluation instructions.[2025/11] 🤗
BERT-Chat: We released a collection of BERTs finetuned to chat with diffusion, with open recipes for turning ANY BERT encoder (e.g., BERT, RoBERTa, ModernBERT) into a diffusion model. Seeexamples/bertfor training / inference / evaluation instructions.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
282+1
Open issues
21+1
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| ZHZisZZ/dllm | 2.7K | — | 6 | — |
| Category median | 113.6K | +5.5K | 60 | — |
Discover Repositories
Search across tracked repositories by name or description