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@@ -19,7 +19,7 @@ pipeline_tag: visual-question-answering
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  **What's new in Vintern-3B-beta!**
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  - **We successfully reproduced the training process of InternVL from scratch.**
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  - The model is the result of integrating [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) and [InternViT-300M-448px](https://huggingface.co/OpenGVLab/InternViT-300M-448px) through an MLP layer.
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- - Trained with more than 10 Milion Vietnamese QnAs, Descriptions, and 10% English Data from [OpenGVLab/InternVL-Chat-V1-2-SFT-Data](https://huggingface.co/datasets/OpenGVLab/InternVL-Chat-V1-2-SFT-Data).
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  ## Model Details
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  **What's new in Vintern-3B-beta!**
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  - **We successfully reproduced the training process of InternVL from scratch.**
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  - The model is the result of integrating [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) and [InternViT-300M-448px](https://huggingface.co/OpenGVLab/InternViT-300M-448px) through an MLP layer.
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+ - Trained with more than 10 Milion Vietnamese QnAs, Descriptions, and 10% English, Chinese Data from [OpenGVLab/InternVL-Chat-V1-2-SFT-Data](https://huggingface.co/datasets/OpenGVLab/InternVL-Chat-V1-2-SFT-Data).
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  ## Model Details
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