megatron-LM support?
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start with the FSDP backend example and trace how backend support is represented. Check whether Megatron-LM tensor parallelism (TP) and pipeline parallelism (PP) parameter segmentation are supported; done should be a clear support answer or an agreed implementation scope.
Written by the indexing model from the issue text.
Description
Great job！ I saw the example only FSDP backend, is megatron-LM backend supported (like TP, PP parameter segmentation)?
- Dominant language
- Python
- Stars
- 290
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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.
More from ByteDance-Seed/ByteCheckpoint
-
Bug: `FSDPLoadPlanner` passes `strict` as the first positional argument to `DefaultLoadPlanner` Open
Difficulty 1/5 Under an hour Newbie friendliness 86/100
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
All issues in ByteDance-Seed/ByteCheckpoint
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
enhancement
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 74/100