fine-tuning data problem
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- Dominant language
- Python
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Description
Could you please provide information about the fine-tuning data used for the vicuna-13b-delta-v1.1 weight:
- Is it fine-tuned on multi-turn dialogues or single-turn dialogues?
- Does it include data with tokens > 2048?
- How many languages are supported?
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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
The issue names the vicuna-13b-delta-v1.1 weight but no files, tests, or entry points. Check the project's existing model or training documentation and release records for the three requested facts; done means documenting authoritative answers about dialogue format, token lengths, and supported languages.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100