Weiyun1025
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README.md
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@@ -49,10 +49,10 @@ This model exhibits enhanced multimodal reasoning abilities and fewer hallucinat
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| LLaVA-OneVision-7B | 52.3 | 63.2 | 18.4 | 51.4 | 79.9 | 88.4 | 73.7 | 3.1 |
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| InternVL2-26B | 58.2 | 59.4 | 23.4 | 62.1 | 92.3 | 88.0 | 75.6 | 3.7 |
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| InternVL2-40B | 63.6 | 63.7 | 21.4 | 65.5 | 100.5 | 88.4 | 77.3 | 3.9 |
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| InternVL2-76B | 65.4 |
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| InternVL2-Pro | 65.6 | 66.3 | 18.8 | 69.4 | 99.5 | 88.2 | 77.6 | 3.7 |
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| InternVL2-8B | 59.3 | 58.3 | 20.4 | 54.2 | 73.2 | 86.9 | 75.0 | 3.3 |
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| InternVL2-8B-MPO (ours) | 79.2 |
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### Invitation to Evaluate InternVL
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We welcome MLLM benchmark developers to assess our InternVL1.5 and InternVL2 series models. If you need to add your evaluation results here, please contact me at [[email protected]](mailto:[email protected]).
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@@ -541,10 +541,10 @@ InternVL2-8B-MPO基于[InternVL2-8B](https://huggingface.co/OpenGVLab/InternVL2-
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| LLaVA-OneVision-7B | 52.3 | 63.2 | 18.4 | 51.4 | 79.9 | 88.4 | 73.7 | 3.1 |
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| InternVL2-26B | 58.2 | 59.4 | 23.4 | 62.1 | 92.3 | 88.0 | 75.6 | 3.7 |
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| InternVL2-40B | 63.6 | 63.7 | 21.4 | 65.5 | 100.5 | 88.4 | 77.3 | 3.9 |
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| InternVL2-76B | 65.4 |
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| InternVL2-Pro | 65.6 | 66.3 | 18.8 | 69.4 | 99.5 | 88.2 | 77.6 | 3.7 |
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| InternVL2-8B | 59.3 | 58.3 | 20.4 | 54.2 | 73.2 | 86.9 | 75.0 | 3.3 |
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| InternVL2-8B-MPO (ours) | 79.2 |
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### 邀请评测 InternVL
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我们欢迎各位 MLLM benchmark 的开发者对我们的 InternVL2-8B-MPO 模型进行评测。如果需要在此处添加评测结果,请与我联系([[email protected]](mailto:[email protected]))。
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| LLaVA-OneVision-7B | 52.3 | 63.2 | 18.4 | 51.4 | 79.9 | 88.4 | 73.7 | 3.1 |
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| InternVL2-26B | 58.2 | 59.4 | 23.4 | 62.1 | 92.3 | 88.0 | 75.6 | 3.7 |
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| InternVL2-40B | 63.6 | 63.7 | 21.4 | 65.5 | 100.5 | 88.4 | 77.3 | 3.9 |
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| InternVL2-76B | 65.4 | 67.5 | 23.7 | 65.7 | 99.3 | 89.0 | 77.8 | 3.8 |
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| InternVL2-Pro | 65.6 | 66.3 | 18.8 | 69.4 | 99.5 | 88.2 | 77.6 | 3.7 |
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| InternVL2-8B | 59.3 | 58.3 | 20.4 | 54.2 | 73.2 | 86.9 | 75.0 | 3.3 |
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| InternVL2-8B-MPO (ours) | 79.2 | 67.0 | 25.7 | 56.2 | 76.7 | 88.1 | 75.4 | 3.5 |
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### Invitation to Evaluate InternVL
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We welcome MLLM benchmark developers to assess our InternVL1.5 and InternVL2 series models. If you need to add your evaluation results here, please contact me at [[email protected]](mailto:[email protected]).
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| LLaVA-OneVision-7B | 52.3 | 63.2 | 18.4 | 51.4 | 79.9 | 88.4 | 73.7 | 3.1 |
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| InternVL2-26B | 58.2 | 59.4 | 23.4 | 62.1 | 92.3 | 88.0 | 75.6 | 3.7 |
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| InternVL2-40B | 63.6 | 63.7 | 21.4 | 65.5 | 100.5 | 88.4 | 77.3 | 3.9 |
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| InternVL2-76B | 65.4 | 67.5 | 23.7 | 65.7 | 99.3 | 89.0 | 77.8 | 3.8 |
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| InternVL2-Pro | 65.6 | 66.3 | 18.8 | 69.4 | 99.5 | 88.2 | 77.6 | 3.7 |
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| InternVL2-8B | 59.3 | 58.3 | 20.4 | 54.2 | 73.2 | 86.9 | 75.0 | 3.3 |
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| InternVL2-8B-MPO (ours) | 79.2 | 67.0 | 25.7 | 56.2 | 76.7 | 88.1 | 75.4 | 3.5 |
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548 |
|
549 |
### 邀请评测 InternVL
|
550 |
我们欢迎各位 MLLM benchmark 的开发者对我们的 InternVL2-8B-MPO 模型进行评测。如果需要在此处添加评测结果,请与我联系([[email protected]](mailto:[email protected]))。
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