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@@ -27,7 +27,7 @@ pipeline_tag: visual-question-answering
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  - **Model Type:** multimodal large language model (MLLM)
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  - **Model Stats:**
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  - Architecture: [InternViT-6B-448px-V1-5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5) + MLP + [InternLM2-Chat-20B](https://huggingface.co/internlm/internlm2-chat-20b)
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- - Image size: dynamic resolution, max to 32 tiles of 448 x 448 (4K resolution) during inference.
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  - Params: 25.5B
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  - **Training Strategy:**
 
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  - **Model Type:** multimodal large language model (MLLM)
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  - **Model Stats:**
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  - Architecture: [InternViT-6B-448px-V1-5](https://huggingface.co/OpenGVLab/InternViT-6B-448px-V1-5) + MLP + [InternLM2-Chat-20B](https://huggingface.co/internlm/internlm2-chat-20b)
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+ - Image size: dynamic resolution, max to 32 tiles of 448 x 448 (4K resolution).
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  - Params: 25.5B
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  - **Training Strategy:**