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OpAgent-32B

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by zhugekongkong - opened 15 days ago

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@@ -25,7 +25,7 @@ tags:
 <!-- Provide a longer summary of what this model is. -->
 - **Base Model:** `Qwen3-VL-32B-Thinking`
-- **Fine-tuning Strategy:** Hierarchical Multi-Task SFT followed by Online Agentic RL with a Hybrid Reward mechanism.
 - **Primary Task:** Autonomous web navigation and task execution.
 - **Input:** A combination of a natural language task description and a webpage screenshot.
 - **Output:** A JSON-formatted action (e.g., `click`, `type`, `scroll`) or a final answer.

 <!-- Provide a longer summary of what this model is. -->
 - **Base Model:** `Qwen3-VL-32B-Thinking`
+- **Fine-tuning Strategy:** Online Agentic RL with a Hybrid Reward mechanism.
 - **Primary Task:** Autonomous web navigation and task execution.
 - **Input:** A combination of a natural language task description and a webpage screenshot.
 - **Output:** A JSON-formatted action (e.g., `click`, `type`, `scroll`) or a final answer.