Can it support multi-gpu int-8 quantization?
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bug
good first issue
- Dominant language
- Python
- Stars
- 39.5k
- Forks
- 4.8k
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/lm-sys/FastChat/blob/9cc2c2ee6c5ca7fc0dffc920fcc07f4b17794cca/fastchat/model/model_adapter.py#L143
Contributor guide
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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 by reading fastchat/model/model_adapter.py around line 143 and trace how quantization is currently handled. The issue does not name tests, entry points, or acceptance criteria, so clarify the intended multi-GPU behavior and validation plan before assessing what done looks like.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100