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- en
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base_model:
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- Qwen/Qwen2.5-VL-3B-Instruct
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---
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# DriveFusionQA Model Card
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Unlike general-purpose models, DriveFusionQA is specifically optimized to answer the "why" behind driving maneuvers, making it an essential tool for safety analysis, simulation, and interactive driving support.
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### Core Capabilities
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* **Scenario Explanation:** Identifies traffic participants, road signs, and environmental hazards.
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* **Decision Reasoning:** Justifies driving actions (e.g., "Braking due to a pedestrian entering the crosswalk").
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- en
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base_model:
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- Qwen/Qwen2.5-VL-3B-Instruct
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tags:
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- VLM
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- LLM
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- drivefusion
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- DriveFusion
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---
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# DriveFusionQA Model Card
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Unlike general-purpose models, DriveFusionQA is specifically optimized to answer the "why" behind driving maneuvers, making it an essential tool for safety analysis, simulation, and interactive driving support.
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## 🔗 GitHub Repository
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Find the full implementation, training scripts, and preprocessing logic here:
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* **Main Model Code:** [DriveFusion/drivefusion](https://github.com/DriveFusion/drivefusion)
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* **Data Pipeline:** [DriveFusion/data-preprocessing](https://github.com/DriveFusion/data-preprocessing)
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### Core Capabilities
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* **Scenario Explanation:** Identifies traffic participants, road signs, and environmental hazards.
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* **Decision Reasoning:** Justifies driving actions (e.g., "Braking due to a pedestrian entering the crosswalk").
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