STACKQUADRANT

opendilab/LightRFT

Fine-tuning Tools

LightRFT: Light, Efficient, Omni-modal & Reward-model Driven Reinforcement Fine-Tuning Framework

5.2
GitHub Metrics
Stars
295
Forks
10
Open Issues
14
Watchers
2
Contributors
6
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Apr 19, 2026
Created
Dec 23, 2025
Latest Release
v0.1.1
Release Date
Jan 23, 2026
Synced: Apr 21, 2026
Quality Scores
Documentation Qualityw: 20%
5.6

Has docs site (https://opendilab.github.io/LightRFT). Description: 96 chars. Stars signal: 295. Contributors: 6. Score: 5.6/10

Community Healthw: 20%
3.0

Stars: 295. Contributors: 6. Watchers: 2. Forks: 10. Issue ratio: 4.7%. Score: 3/10

Maintenance Velocityw: 15%
7.1

Last commit: 2d ago. Weekly commits: 0. Latest release: v0.1.1. Score: 7.1/10

API Design & DXw: 20%
6.8

Stars/issues ratio: 21. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 295 stars. Score: 6.8/10

Production Readinessw: 15%
3.5

Battle-tested: 295 stars. Peer review: 6 contributors. Versioned: v0.1.1. Licensed: Apache-2.0. Age: 0.3 years. Maintenance: last commit 2d ago. Score: 3.5/10

Ecosystem Integrationw: 10%
5.2

Fork interest: 10. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 295 stars. Has web presence. Score: 5.2/10

Tags
dapogrpollmllm-trainingmulti-modalreinforcement-learningreward-modelrftvlm
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration