STACKQUADRANT

linkedin/Liger-Kernel

Fine-tuning Tools

Efficient Triton Kernels for LLM Training

7.7
GitHub Metrics
Stars
6.7k
Forks
626
Open Issues
195
Watchers
54
Contributors
185
Weekly Commits
0
Language
Python
License
BSD-2-Clause
Last Commit
Oct 17, 2026
Created
Aug 6, 2024
Latest Release
v0.8.4
Release Date
Sep 30, 2026
Synced: Oct 18, 2026
Quality Scores
Documentation Qualityw: 20%
7.5

Has docs site (https://linkedin.github.io/Liger-Kernel/). Description: 41 chars. Stars signal: 6,664. Contributors: 185. Score: 7.5/10

Community Healthw: 20%
7.8

Stars: 6,664. Contributors: 185. Watchers: 54. Forks: 626. Issue ratio: 2.9%. Score: 7.8/10

Maintenance Velocityw: 15%
7.6

Last commit: 1d ago. Weekly commits: 0. Latest release: v0.8.4. Maturity bonus: 2.2y old. Score: 7.6/10

API Design & DXw: 20%
7.5

Stars/issues ratio: 34. Dynamic language: Python. Has documentation site. Permissive license: BSD-2-Clause. Popularity signal: 6,664 stars. Score: 7.5/10

Production Readinessw: 15%
7.9

Battle-tested: 6,664 stars. Peer review: 185 contributors. Versioned: v0.8.4. Licensed: BSD-2-Clause. Age: 2.2 years. Maintenance: last commit 1d ago. Score: 7.9/10

Ecosystem Integrationw: 10%
8.0

Fork interest: 626. Major ecosystem: Python. Integration-friendly: BSD-2-Clause. Adoption: 6,664 stars. Has web presence. Score: 8/10

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