Lightning-AI / Lightning-AI/lit-llama
combine adapter weights with the base model
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- Dominant language
- Python
- Stars
- 6.1k
- Forks
- 517
- PR merge metrics
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Description
Hello! Great work! Since I want to evaluate the entire finetuned model, I am wondering how to combine adapter weights with the base model and save it as a new model weight?
Thank you very much.
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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.
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Research direction
No files, tests, or entry points are identified in the issue. Start by locating the adapter-weight loading and model-saving paths, then determine the expected behavior for combining adapter and base weights; done means the merged model can be saved and evaluated as a standalone model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100