inference with GPTQ
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- Dominant language
- Python
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Description
hello, to do inference using GPTQ is it better to use the library in these docs or is AutoGPTQ better? elsewhere I have come across more mentions of AutoGPTQ than the library in the above mentioned docs.
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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 docs/gptq.md and review how FastChat documents GPTQ inference. Compare that guidance with AutoGPTQ usage, then clarify which option the project recommends and update the documentation if a decision is made.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100