File size: 585 Bytes
e40c27b |
1 2 3 4 5 6 7 8 9 10 |
## 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. |