bytedance / bytedance/AffineQuant
The 4W4A LLaMa2 results on six zero-shot datasets
Open
- Dominant language
- Python
- Stars
- 31
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
Hi, I notice in your paper there are only 4W4A LLaMa1 results on six zero-shot datasets. May i ask do you have 4W4A LLaMa2 results on zero-shot tasks. Thanks.
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Research direction
The issue names no files, tests, or implementation entry point. Start by reviewing the paper and repository for the existing 4W4A LLaMa1 evaluation artifacts, then determine whether comparable LLaMa2 results can be produced; done means providing the requested six zero-shot dataset results or documenting why they are unavailable.
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
- 20/100