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opendilab/LightRFT

Fine-tuning Tools

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

5.0
GitHub Metrics
Stars
397
Forks
12
Open Issues
14
Watchers
2
Contributors
6
Weekly Commits
0
Language
Python
License
Apache-2.0
Last Commit
Sep 7, 2026
Created
Dec 23, 2025
Latest Release
v0.1.1
Release Date
Jan 23, 2026
Synced: Oct 19, 2026
Quality Scores
Documentation Qualityw: 20%
5.7

Has docs site (https://opendilab.github.io/LightRFT). Description: 96 chars. Stars signal: 397. Contributors: 6. Score: 5.7/10

Community Healthw: 20%
3.1

Stars: 397. Contributors: 6. Watchers: 2. Forks: 12. Issue ratio: 3.5%. Score: 3.1/10

Maintenance Velocityw: 15%
5.4

Last commit: 42d ago. Weekly commits: 0. Latest release: v0.1.1. Score: 5.4/10

API Design & DXw: 20%
6.9

Stars/issues ratio: 28. Dynamic language: Python. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 397 stars. Score: 6.9/10

Production Readinessw: 15%
3.5

Battle-tested: 397 stars. Peer review: 6 contributors. Versioned: v0.1.1. Licensed: Apache-2.0. Age: 0.8 years. Maintenance: last commit 42d ago. Score: 3.5/10

Ecosystem Integrationw: 10%
5.3

Fork interest: 12. Major ecosystem: Python. Integration-friendly: Apache-2.0. Adoption: 397 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
opendilab/LightRFT — 5.0/10 — AI/LLM Repository Review — StackQuadrant