Compare NLLB and MADLAD-400
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research
- Dominant language
- Python
- Stars
- 39
- Forks
- 7
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 5
Description
Use the set of experiments provided by the projects team to compare the two models.
We'll want to test single-GPU (using LoRA for MADLAD) and multi-GPU performance (NLLB 3.3B and full MADLAD).
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the set of experiments provided by the projects team and the Python entry points used to run them. Compare single-GPU performance using LoRA for MADLAD, then multi-GPU performance for NLLB 3.3B and full MADLAD; done means the requested model comparisons are complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100