deepspeedai / deepspeedai/DeepSpeedExamples
Question: Why did you implemented LoRA on your hand instead of using peft?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6.8k
- Forks
- 1.1k
- Avg merge
- 2d 16h
- Merged PRs (30d)
- 1
Description
Peft looks more convenient to integrate LoRA.
Is it because of policy of your company or is there any reason?
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
No file, test, or entry point is identified in the issue. Start by locating the repository's LoRA example and reviewing how it handles integration; done would require a maintainer-supported explanation of why PEFT was not used, or a specific documentation update if that rationale is established.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100