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Training & fine-tuning

datamllab/OpenEBFM

Train and scale energy-based foundation models for language generation.

No licenseSetup: Hard · build from sourcePython
Stars
234
Forks
19
Open issues
2
Last push
4d ago

OpenEBFM star history

+57 this week

234 ★
21 Oct2 Nov
OpenEBFM went from 111 to 234 GitHub stars over the last 12 days (+123, about 10 a day).

Get OpenEBFM running

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

Full install steps in the README →

Can I sell what I build with it?

Check first

A guide, not legal advice.

About OpenEBFM

OpenEBFM is a free, open-source machine learning tool by datamllab, written mainly in Python. Train and scale energy-based foundation models for language generation. It has 234 GitHub stars and 19 forks, and was last updated 4d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.

License
Not detected
Commercial use
No license
Language
Python
Stars
234
Last update
4d ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not required
Self-hostable
Yes

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OpenEBFM FAQ

Can I use OpenEBFM commercially?

Unclear. No license was detected, which legally means all rights are reserved. Ask the author before using it commercially. This is a plain-English summary, not legal advice.

Is OpenEBFM free?

Yes. OpenEBFM is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.

Does OpenEBFM run on a Mac?

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

Does OpenEBFM need a GPU?

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

Is OpenEBFM still maintained?

Yes. It was last updated 4d ago and has 2 open issues on GitHub.

How hard is OpenEBFM to set up?

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

What are alternatives to OpenEBFM?

Similar free, open-source tools include transformers, LlamaFactory, pytorch-lightning, unilm.

Maintain OpenEBFM?

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