Home/Model Training/Liger-Kernel
Liger-Kernel logo

Liger-Kernel

Enrichment pending
linkedin/Liger-Kernel

Efficient Triton Kernels for LLM Training

GraphCanon updated today · GitHub synced today

6.5k
Stars
554
Forks
161
Open issues
54
Watchers
5d
Last push
Python BSD-2-ClauseCreated Aug 6, 2024

Trust & integrity

Full report
Maintenance
Very active (4d since push)
As of today · Source: github_public_v1
Provenance
Not a fork · Organization account
As of today · Source: github_public_v1
Security (OSV)
No lockfile
As of today · Source: none

Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.

Overview

Efficient Triton Kernels for LLM Training

Capability facts

Languages
python

Source: github.language+pyproject.toml · Jul 12, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

pip install -e .
Source link

Tags

README

On ROCm, install ROCm PyTorch first from the PyTorch ROCm index.

pip install -e .


Or install cuTile with the optional tileiras compiler

pip install -e ".[cutile-tileiras]"


---

## Getting Started

There are a couple of ways to apply Liger kernels, depending on the level of customization required.

---

## Contributing, Acknowledgements, and License

- [Contributing Guidelines](https://github.com/linkedin/Liger-Kernel/blob/main/docs/contributing.md)
- [Acknowledgements](https://github.com/linkedin/Liger-Kernel/blob/main/docs/acknowledgement.md)
- [License Information](https://github.com/linkedin/Liger-Kernel/blob/main/docs/license.md)