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  # TBAC-VLR1-3B-preview
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- Trained by TencentBAC on Qwen2.5-VL-3B-Instruct through GRPO
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-
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  ## Performance
 
 
 
 
 
 
 
 
 
 
 
 
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- | Model | **Average** | **MathVista** | **MathVision** | **MathVerse** | **DynaMath** | **WeMath** | **LogicVista** |
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- | :-------------------: | :---------: | :-------: | :------------: | :-----------: | :-----------: | :-------: | :----------: |
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- | Taichu-VLR-3B | 33.6 | 64.9 | 23.1 | 32.1 | 12.6 | 30.4 | 38.7 |
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- | VLAA-Thinker-Qwen2.5VL-3B | 35.4 | 61 | 24.4 | 36.4 | 18.2 | 33.8 | 38.5 |
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- | **TBAC-VLR1-3B-preview** | **35.7** | 64.8 | 25.0 | 33.2 | 17.7 | 32.4 | 40.8 |
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- ![Performance](./assets/performance.png)
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  ## Usage
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  ```python
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  ## Citation
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  If you find our model useful in your research, please consider giving ❤️ and citations. Thanks!
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  ```
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- @misc{Xu2025bacvlr1,
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  title={TBAC-VLR1-3B-preview},
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  author={Junzhe Xu and Yuyang yin},
 
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  year={2025},
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  }
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  ```
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  **About**
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- Created by the Tencent BAC Group. All rights reserved.
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-
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- **License**
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-
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- This work is licensed under a [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/).
 
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+ ---
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+ license: apache-2.0
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+ language:
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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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+ pipeline_tag: visual-question-answering
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+ ---
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  # TBAC-VLR1-3B-preview
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  ## Performance
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+ | Model | **Average** | **MathVista**| **MathVision** | **MathVerse** | **DynaMath** | **WeMath**| **LogicVista** |
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+ | :-------------------: | :---------: | :-----------:| :------------: | :-----------: | :-----------: | :-------: | :----------: |
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+ | Qwen2-VL-2B | 20.5 | 48.0 | 16.1 | 17.5 | 3.8 | 10.8 | 26.6 |
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+ | InternVL2.5-2B | 21.2 | 51.1 | 14.0 | 22.3 | 4.4 | 8.0 | 27.3 |
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+ | InternVL3-2B | 29.1 | 57.6 | 20.2 | 24.5 | 14.8 | 22.9 | 40.3 |
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+ | Qwen2.5-VL-3B | 31.8 | 61.2 | 21.9 | 31.2 | 13.2 | 22.9 | 40.3 |
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+ | VLM-R1-3B-Math-0305 | 33.4 | 62.7 | 21.9 | 32.2 | 13.0 | 30.0 | 40.5 |
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+ | Taichu-VLR-3B | 33.6 | 64.9 | 23.1 | 32.1 | 12.6 | 30.4 | 38.7 |
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+ | VLAA-Thinker-Qwen2.5VL-3B | 35.4 | 61.0 | 24.4 | 36.4 | 18.2 | 33.8 | 38.5 |
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+ | **TBAC-VLR1-3B-preview** | **35.7** | 64.8 | 25.0 | 33.2 | 17.7 | 32.4 | 40.8 |
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+
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+ ![Performance](./assets/performance.png)
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+ The compared results are sourced from https://opencompass.org.cn.
 
 
 
 
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+ The results of our model are self-reported, obtained by running evaluations offline on each benchmark.
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  ## Usage
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  ```python
 
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  ## Citation
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  If you find our model useful in your research, please consider giving ❤️ and citations. Thanks!
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  ```
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+ @misc{Xu2025tbacvlr1,
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  title={TBAC-VLR1-3B-preview},
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  author={Junzhe Xu and Yuyang yin},
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+ url={https://huggingface.co/TencentBAC/TBAC-VLR1-3B-preview},
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  year={2025},
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  }
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  ```
 
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  **About**
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+ Created by the Tencent BAC Group. All rights reserved.