STACKQUADRANT

opendilab/LightRFT

Fine-tuning Tools

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

5.1
GitHub Metrics
Stars
340
Forks
11
Open Issues
13
Watchers
2
Contributors
6
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Apr 29, 2026
Created
Dec 23, 2025
Latest Release
v0.1.1
Release Date
Jan 23, 2026
Synced: Jun 5, 2026
Quality Scores
Documentation Qualityw: 20%
5.6

Has docs site (https://opendilab.github.io/LightRFT). Description: 96 chars. Stars signal: 340. Contributors: 6. Score: 5.6/10

Community Healthw: 20%
3.0

Stars: 340. Contributors: 6. Watchers: 2. Forks: 11. Issue ratio: 3.8%. Score: 3/10

Maintenance Velocityw: 15%
6.5

Last commit: 37d ago. Weekly commits: 0. Latest release: v0.1.1. Score: 6.5/10

API Design & DXw: 20%
6.9

Stars/issues ratio: 26. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 340 stars. Score: 6.9/10

Production Readinessw: 15%
3.3

Battle-tested: 340 stars. Peer review: 6 contributors. Versioned: v0.1.1. Licensed: Apache-2.0. Age: 0.5 years. Maintenance: last commit 37d ago. Score: 3.3/10

Ecosystem Integrationw: 10%
5.3

Fork interest: 11. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 340 stars. Has web presence. Score: 5.3/10

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