[Feature]: Improve the performance of FP8 models
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feature request
Low Precision
- Dominant language
- Python
- Stars
- 14.7k
- Forks
- 2.8k
- Avg merge
- 2d 23h
- Merged PRs (30d)
- 489
Description
🚀 The feature, motivation and pitch
nvidia/Llama-3.1-8B-Instruct-FP8 is 2x slower than PT
Alternatives
No response
Additional context
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Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
Start by reproducing the reported performance difference for nvidia/Llama-3.1-8B-Instruct-FP8 versus the non-FP8 model, using the repository's documented examples and benchmarks. No files, tests, or entry points are named, and the issue does not define a target measurement or acceptance criteria; done would require demonstrating improved FP8 performance against the reported baseline.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100