STACKQUADRANT

linkedin/Liger-Kernel

Fine-tuning Tools

Efficient Triton Kernels for LLM Training

7.6
GitHub Metrics
Stars
6.4k
Forks
535
Open Issues
146
Watchers
56
Contributors
146
Weekly Commits
0
Language
Python
License
BSD-2-Clause
Last Commit
Jun 1, 2026
Created
Aug 6, 2024
Latest Release
v0.8.0
Release Date
May 1, 2026
Synced: Jun 3, 2026
Quality Scores
Documentation Qualityw: 20%
7.4

Has docs site (https://linkedin.github.io/Liger-Kernel/). Description: 41 chars. Stars signal: 6,403. Contributors: 146. Score: 7.4/10

Community Healthw: 20%
7.6

Stars: 6,403. Contributors: 146. Watchers: 56. Forks: 535. Issue ratio: 2.3%. Score: 7.6/10

Maintenance Velocityw: 15%
7.6

Last commit: 2d ago. Weekly commits: 0. Latest release: v0.8.0. Maturity bonus: 1.8y old. Score: 7.6/10

API Design & DXw: 20%
7.5

Stars/issues ratio: 44. Dynamic language: Python. Has documentation site. Permissive license: BSD-2-Clause. Popularity signal: 6,403 stars. Score: 7.5/10

Production Readinessw: 15%
7.6

Battle-tested: 6,403 stars. Peer review: 146 contributors. Versioned: v0.8.0. Licensed: BSD-2-Clause. Age: 1.8 years. Maintenance: last commit 2d ago. Score: 7.6/10

Ecosystem Integrationw: 10%
8.0

Fork interest: 535. Major ecosystem: Python. Integration-friendly: BSD-2-Clause. Adoption: 6,403 stars. Has web presence. Score: 8/10

Tags
finetuninggemma2hacktoberfestllamallama3llm-trainingllmsmistralphi3triton
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration