linkedin / linkedin/Liger-Kernel
MoE kernel
Open
Nobody has claimed this yet.
feature
- Dominant language
- Python
- Stars
- 6.6k
- Forks
- 603
- Avg merge
- 1d 20h
- Merged PRs (30d)
- 47
Description
### 🚀 The feature, motivation and pitch
Currently the most popular library might be https://github.com/databricks/megablocks. Would be interesting if we can implement it in triton and make it HF compatible
### Alternatives
_No response_
### Additional context
_No response_
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.
Research direction
The issue names no files, tests, or entry points. Start by comparing the requested Triton implementation with Megablocks and clarify the expected Hugging Face compatibility; done would require an agreed MoE kernel implementation and validation criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100