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InternVL-Chat-V1-1

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Transformers
PyTorch
multilingual
internvl_chat
feature-extraction
internvl
custom_code
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@@ -50,25 +50,21 @@ TODO
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  **MultiModal Benchmark**
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- | model | MME | MMB<sub>dev/test</sub> | MMB-CN<sub>dev/test</sub> | POPE |
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- | --------------------------------------------------------------------------------- | -------------- | ---------------------- | ------------------------- | ---- |
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- | [InternVL-Chat-V1.1](https://huggingface.co/OpenGVLab/InternVL-Chat-Chinese-V1.1) | 1672.3 / 341.1 | 76.6 / 75.4 | 71.5 / 70.1 | 87.2 |
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-
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- | model | MMMU<sub>val/test</sub> | CMMMU<sub>val/test</sub> | Tiny<sub>LVLM</sub> | LLaVA<sub>bench</sub> |
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- | --------------------------------------------------------------------------------- | ----------------------- | ------------------------ | ------------------- | --------------------- |
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- | [InternVL-Chat-V1.1](https://huggingface.co/OpenGVLab/InternVL-Chat-Chinese-V1.1) | 39.1 / 35.3 | | 344.5 | 76.3 |
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  **Visual Question Answering**
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- | model | VQAv2<sub>test</sub> | OKVQA<sub>val</sub> | TextVQA<sub>val</sub> | VizWiz<sub>val/test</sub> | AI2D<sub>test</sub> | GQA<sub>test</sub> | SQA<sub>test</sub> |
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- | --------------------------------------------------------------------------------- | -------------------- | ------------------- | --------------------- | ------------------------- | ------------------- | ------------------ | ------------------ |
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- | [InternVL-Chat-V1.1](https://huggingface.co/OpenGVLab/InternVL-Chat-Chinese-V1.1) | 80.9 | 64.2 | 65.8 | 58.3 / 57.3 | 70.23 | 62.4 | 91.2 |
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  **Image Captioning**
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- | model | COCO<sub>test</sub> | Flickr30K<sub>test</sub> | NoCaps<sub>val</sub> |
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- | --------------------------------------------------------------------------------- | ------------------- | ------------------------ | -------------------- |
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- | [InternVL-Chat-V1.1](https://huggingface.co/OpenGVLab/InternVL-Chat-Chinese-V1.1) | 141.8 | 84.3 | 120.4 |
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  ## Citation
 
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  **MultiModal Benchmark**
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+ | MME | MMB<sub>dev/test</sub> | MMB-CN<sub>dev/test</sub> | POPE | MMMU<sub>val/test</sub> | CMMMU<sub>val/test</sub> | Tiny<sub>LVLM</sub> | LLaVA<sub>bench</sub> |
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+ | -------------- | ---------------------- | ------------------------- | ---- | ----------------------- | ------------------------ | ------------------- | --------------------- |
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+ | 1672.3 / 341.1 | 76.6 / 75.4 | 71.5 / 70.1 | 87.2 | 39.1 / 35.3 | TODO | 344.5 | 76.3 |
 
 
 
 
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  **Visual Question Answering**
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+ | VQAv2<sub>test</sub> | OKVQA<sub>val</sub> | TextVQA<sub>val</sub> | VizWiz<sub>val/test</sub> | AI2D<sub>test</sub> | GQA<sub>test</sub> | SQA<sub>test</sub> |
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+ | -------------------- | ------------------- | --------------------- | ------------------------- | ------------------- | ------------------ | ------------------ |
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+ | 80.9 | 64.2 | 65.8 | 58.3 / 57.3 | 70.23 | 62.4 | 91.2 |
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  **Image Captioning**
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+ | COCO<sub>test</sub> | Flickr30K<sub>test</sub> | NoCaps<sub>val</sub> |
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+ | ------------------- | ------------------------ | -------------------- |
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+ | 141.8 | 84.3 | 120.4 |
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  ## Citation