OptimalScale / OptimalScale/LMFlow
Pre-training
Open
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- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 822
- PR merge metrics
- No merged PRs in 30d
Description
Can your fine-tuning code be used for pre-training of the model? That is, the unsupervised fine-tuning stage of knowledge injection. If so, can you tell me the corresponding code file? Thank you!
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
No file or test is named in the issue. Start by locating the repository's fine-tuning entry point and checking whether it supports the requested unsupervised pre-training workflow; done means identifying the corresponding file and documenting whether and how it can be used.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100