OptimalScale / OptimalScale/LMFlow
Discussion about LISA
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- Python
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Description
In the article, only the comparison of the average weight paradigm of each layer during lora fine-tuning is given.
- But what if their weights are different before fine-tuning?
- Using the weighted averaging method, is it possible that there are differences in the intermediate iteration process?
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 files, tests, or entry points are named. Start by reading the referenced LISA article and tracing how LoRA layer weights are initialized and averaged; the issue is not ready for implementation until the desired clarification or experiment and its acceptance criteria are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100