Lightning-AI / Lightning-AI/litgpt
Support for mini-omni and mini-omni2 pre training, fine tuning on custom dataset.
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question
- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.5k
- Avg merge
- 15h 37m
- Merged PRs (30d)
- 1
Description
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Contributor guide
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
The issue names no files, tests, or entry points; its body only requests support for mini-omni and mini-omni2 pretraining and fine-tuning on custom datasets. Start by clarifying the required training workflows and acceptance criteria, then identify the existing pretraining and fine-tuning entry points to extend. Done requires agreed support and validation for both models and dataset workflows.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100