OptimalScale / OptimalScale/LMFlow
"trust_remote_code=True" problem
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8.5k
- Forks
- 822
- PR merge metrics
- No merged PRs in 30d
Description
Hi author, when I use your project to fine-tune a local model, I get the following prompt
"trust_remote_code=True"
Where should I change the code? Can you provide an example?
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, test, or entry point is identified in the issue. Start by reproducing fine-tuning with a local model and search the project for trust_remote_code=True; done should include a clear location to change it and a working example for local-model fine-tuning.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100