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