Lightning-AI / Lightning-AI/lightning-thunder
Automated litgpt benchmarks
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- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
- PR merge metrics
- No merged PRs in 30d
Description
## 🚀 Feature
As suggested by @Borda it would be nice to have automated litgpt benchmarks for thunder, in the same format as the HF model benchmarked through https://github.com/Lightning-AI/lightning-thunder/blob/main/.github/run-benchmark-as-lit-jobs.py.
### Motivation
More coverage from automated benchmarks, giving a better overview of thunder's performance.
cc @borda
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 with .github/run-benchmark-as-lit-jobs.py and examine how the existing HF model benchmarks are structured. Define the corresponding automated LitGPT benchmark coverage in that format, with completion shown by LitGPT results being included in the automated benchmark overview.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ci-cd, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100