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Inference & serving

vladimirrott/mojo-dllm

Local inference for diffusion language models (LLaDA, Dream), written in Mojo

Really freeCommercial OK · Apache-2.0Setup: Hard · build from sourceMojo
Open on GitHub Website
Stars
235
Forks
2
Open issues
37
Last push
4d ago

mojo-dllm star history

+159 this week

235 ★
30 Oct2 Nov
mojo-dllm went from 76 to 235 GitHub stars over the last 3 days (+159, about 53 a day).

Get mojo-dllm running

Setup: Hard · build from source, typically 1–3 hours

Full install steps in the README →

Can I sell what I build with it?

Yes

A guide, not legal advice.

About mojo-dllm

mojo-dllm is a free, open-source AI inference tool by vladimirrott, written mainly in Mojo. Local inference for diffusion language models (LLaDA, Dream), written in Mojo. It has 235 GitHub stars and 2 forks, and was last updated 4d ago. It's released under the Apache-2.0 license, a standard open-source license.

License
Apache-2.0
Commercial use
Commercial OK
Language
Mojo
Stars
235
Last update
4d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not required
Self-hostable
Not stated

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mojo-dllm FAQ

Can I use mojo-dllm commercially?

Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is mojo-dllm free?

Yes. mojo-dllm is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does mojo-dllm run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does mojo-dllm need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is mojo-dllm still maintained?

Yes. It was last updated 4d ago and has 37 open issues on GitHub.

How hard is mojo-dllm to set up?

Hard: typically 1–3 hours, using build from source.

What are alternatives to mojo-dllm?

Similar free, open-source tools include llm-action, sglang, PowerInfer, inference.

Maintain mojo-dllm?

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