vladimirrott / mojo-dllm
Local inference for diffusion language models (LLaDA, Dream), written in Mojo
Why this job: says: local inference; topics: gguf, inference
What it does
The GGUF reader, the tokenizer, the quantized matrix multiply, the GPU kernels, the transformer and the denoising loop are all Mojo. The build/mojo-dllm binary needs no Python at runtime, and the GPU is optional. The ./mojo-dllm launcher that builds and starts it is a Python script run by uv.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 495
- +285 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 36 days ago
- Built with
- Python
- 49% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 25% closed
- 94 still open
- Pull requests
- 59 merged
- 6 waiting
- Releases
- 1
- 1 in the last year
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| swellweb / reame | 114 | 28 days ago | MIT | Mac, Linux |
| timtoole02 / Camelid | 220 | 24 days ago | MIT | Mac, Windows, Linux |
| antirez / gguf-tools | 373 | 5 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 49%
- Mojo 47%
- Shell 2%
- C++ 2%
Topics
- cpu
- diffusion-models
- gguf
- inference
- llada
- llm
- mojo
Project record
- JobLocal LLMs
- StatusListed
- Commits324
- Forks6
- Watching1
- Stars in 28 days+495
- CreatedOct 4, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026