| ## Introduction | |
| Qwen2.5-32B-DialogueReason is a dialogue-based reasoning model built on Qwen2.5-32B-Base. | |
| We train the model using [Open-Reasoner-Zero](https://github.com/Open-Reasoner-Zero/Open-Reasoner-Zero) data through rule-based reinforcement learning. | |
| ## 🧠 Key Features | |
| - Qwen2.5-32B-Base as the foundation. | |
| - Use Rule-Based RL to achieve dialogue reasoning. | |
| - With dynamic agent initialization to adapt to various scenarios. | |
| - With flexible environment configuration to set up task-specific contexts. | |
| - With multi-turn dialogue reasoning to incrementally solve problems. |