custom model path local when load the open source model from huggingface
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- Python
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Description
I using fastchat.serve.model_worker ModelWorker to create a worker, but when I read the source code this project, I can't find anywhere to use the parameters cache_dir in AutoXXX.from_pretrained(), so this
project only load the open sources model to the loacl dir "/.cache"? or do I have any approach for customizing the save path when loading the model(especially the model is over 8G almost)
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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.
- Open a pull request that references the issue number.
Research direction
Start with fastchat.serve.model_worker.ModelWorker and inspect the AutoXXX.from_pretrained() calls mentioned in the issue. Check how model-loading options are passed and whether cache_dir can be exposed for a custom local path. Done means the supported loading path is documented or configurable and works for a large model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100