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 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.