LAION-AI / LAION-AI/Open-Assistant
Supervised Fine-tuning with Vicuna
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- Dominant language
- Python
- Stars
- 37.4k
- Forks
- 3.3k
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Description
Hi, I've seen vicuna model here. It seems like a pretty good model and supports lots of other languages (like Persian) other of the box. It speaks farsi but not that good.
I want to fine-tune it using supervised fine-tuning. How is it possible?
I've seen that you we can do an SFT here. But is there any tutorial?
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
Start by reviewing model/model_training/trainer_sft.py and the linked Vicuna and Open Assistant materials. Determine what supervised fine-tuning steps are currently documented and what a Vicuna tutorial would need to cover. Done means adding a clear tutorial or documented procedure for fine-tuning Vicuna with the existing project workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100