Request for Megatron benchmark harness
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- Dominant language
- Python
- Stars
- 300
- Forks
- 30
- Avg merge
- 3m
- Merged PRs (30d)
- 1
Description
Thanks for open sourcing ForgeTrain! Could you share the benchmark harness used for the reported ~10% MFU improvement over Megatron-LM?
The env details (Megatron-LM commit, configs and launch scripts), hardware topology, and measurement methodology would help enable with validation when using this new library.
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
The issue does not name any files, tests, or entry points. Start by locating the benchmark setup behind the reported Megatron-LM MFU comparison, then identify the commit, configs, launch scripts, hardware topology, and measurement method. Done means the harness and reproducible environment details are available for validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100