OptimalScale / OptimalScale/LMFlow
How to train a multimodal model with LMFlow?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 822
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thank you for your contributions. I'm considering aligning multimodal models with LMFlow. However, I only found run_finetune_multi_modal_stage1.sh related to multimodal in the GitHub repository, and didn't find multimodal training scripts for other stages. So I'd like to ask if there is a complete open-source process for training multimodal models now?
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
Start by reading run_finetune_multi_modal_stage1.sh and inspect the repository for multimodal training entry points or scripts covering later stages. Confirm whether a complete open-source workflow exists; done means the available stages and any missing pieces are clearly identified for the requester.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100