# GitHub - DAPO: Open-source RL System from ByteDance and Tsinghua

> ByteDance and Tsinghua release open-source RL system DAPO achieving 50% on AIME 2024.
- Title: GitHub - DAPO: Open-source RL System from ByteDance and…
- Summary: ByteDance and Tsinghua release open-source RL system DAPO achieving 50% on AIME 2024. ByteDance and Tsinghua open-source DAPO, an RL system that solves 50%…
- Keywords: da po, bytedance, tsinghua, qwen2.5-32b, aime 2024, rl system, open source, technology, startups, GitHub, DAPO, Open-source
- Source: GitHub — https://github.com/BytedTsinghua-SIA/DAPO
- Read time: 1 min
- Topics: da po, bytedance, tsinghua, qwen2.5-32b, aime 2024, rl system, open source, technology, startups
## DAPO Launch
ByteDance and Tsinghua release open-source RL system DAPO.
## AIME 2024 Results
DAPO achieves 50 points on AIME 2024 using Qwen2.5-32B.
## Key Improvements
DAPO uses token-level policy loss and dynamic sampling for better performance.
## Training Details
DAPO trained on 17k math problems with 50% AIME 2024 accuracy.
## Model Evaluation
DAPO-Qwen-32B solves complex math problems step by step.
## Reproducibility
Full training code and datasets available for community use.
## Next Steps
DAPO will be fully open-sourced on GitHub with detailed documentation.
## Community Support
Researchers can submit issues for DAPO on GitHub for discussion.
## Key takeaway

ByteDance and Tsinghua open-source DAPO, an RL system that solves 50% of AIME 2024 problems using Qwen2.5-32B.