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Open-R1-Mini-Experimental-GGUF

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  ![zfdsdfg.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/WgW-xws4vzFJj48x2niWX.gif)
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  # **Open-R1-Mini-Experimental-GGUF**
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  The **Open-R1-Mini-Experimental-GGUF** model is a fine-tuned version of **Qwen/Qwen2-VL-2B-Instruct**, specifically designed for **reasoning tasks**, **context reasoning**, and **multi-modal understanding** based on the **R1 reasoning logits data**. This model integrates a conversational approach with deep reasoning capabilities to handle complex multi-modal tasks efficiently.
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  * **Multilingual Support**: Supports text understanding in various languages within images, including English, Chinese, Japanese, Korean, Arabic, most European languages, and Vietnamese.
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- ### Sample Inference
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- ![open-r1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Ay3lb1nG7D-S56fV6qakg.png)
 
 
 
 
 
 
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- `Demo:` https://huggingface.co/prithivMLmods/Open-R1-Mini-Experimental/blob/main/open-r1-reasoner-doc-py/open-r1-exp.ipynb
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  ### How to Use
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  ![zfdsdfg.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/WgW-xws4vzFJj48x2niWX.gif)
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+ > [!WARNING]
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+ > **Note:** This model contains artifacts and may perform poorly in some cases.
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  # **Open-R1-Mini-Experimental-GGUF**
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  The **Open-R1-Mini-Experimental-GGUF** model is a fine-tuned version of **Qwen/Qwen2-VL-2B-Instruct**, specifically designed for **reasoning tasks**, **context reasoning**, and **multi-modal understanding** based on the **R1 reasoning logits data**. This model integrates a conversational approach with deep reasoning capabilities to handle complex multi-modal tasks efficiently.
 
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  * **Multilingual Support**: Supports text understanding in various languages within images, including English, Chinese, Japanese, Korean, Arabic, most European languages, and Vietnamese.
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+ # **Sample Inference**
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+ | Example | Image |
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+ |---------|-------|
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+ | **Example 1** | ![lkdfgnlhbnpf.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/LujbI0bFBqrrvMSmiz4Kt.png) |
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+ | **Example 2** | ![open-r1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Ay3lb1nG7D-S56fV6qakg.png) |
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+ | **Example 3** | ![1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/oOR-sIIdg1ZW6c_2MKb4M.png) |
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+ | **Example 4** | ![3.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/CX9B001c9IOfhfFCx2qhP.png) |
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+ | **Example 5** | ![4.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/LYGGRiaoOEozW0GQECTGW.png) |
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+ **Demo:** https://huggingface.co/prithivMLmods/Open-R1-Mini-Experimental/blob/main/open-r1-reasoner-doc-py/open-r1-exp.ipynb
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  ### How to Use
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