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linkedin/Liger-Kernel

Fine-tuning Tools

Efficient Triton Kernels for LLM Training

7.5
GitHub Metrics
Stars
6.3k
Forks
513
Open Issues
140
Watchers
55
Contributors
140
Weekly Commits
0
Language
Python
License
BSD-2-Clause
Last Commit
Apr 16, 2026
Created
Aug 6, 2024
Latest Release
v0.7.0
Release Date
Feb 12, 2026
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
7.4

Has docs site (https://linkedin.github.io/Liger-Kernel/). Description: 41 chars. Stars signal: 6,279. Contributors: 140. Score: 7.4/10

Community Healthw: 20%
7.6

Stars: 6,279. Contributors: 140. Watchers: 55. Forks: 513. Issue ratio: 2.2%. Score: 7.6/10

Maintenance Velocityw: 15%
7.4

Last commit: 0d ago. Weekly commits: 0. Latest release: v0.7.0. Maturity bonus: 1.7y old. Score: 7.4/10

API Design & DXw: 20%
7.5

Stars/issues ratio: 45. Dynamic language: Python. Has documentation site. Permissive license: BSD-2-Clause. Popularity signal: 6,279 stars. Score: 7.5/10

Production Readinessw: 15%
7.6

Battle-tested: 6,279 stars. Peer review: 140 contributors. Versioned: v0.7.0. Licensed: BSD-2-Clause. Age: 1.7 years. Maintenance: last commit 0d ago. Score: 7.6/10

Ecosystem Integrationw: 10%
7.9

Fork interest: 513. Major ecosystem: Python. Integration-friendly: BSD-2-Clause. Adoption: 6,279 stars. Has web presence. Score: 7.9/10

Tags
finetuninggemma2hacktoberfestllamallama3llm-trainingllmsmistralphi3triton
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration
linkedin/Liger-Kernel — 7.5/10 — AI/LLM Repository Review — StackQuadrant