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@@ -55,13 +55,13 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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  ### Video Benchmarks
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- | Benchmark | VideoChat2-HD-Mistral | Video-CCAM-9B | InternVL2-4B | InternVL2-8B |
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- | :-------------------------: | :-------------------: | :-----------: | :----------: | :----------: |
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- | Model Size | 7B | 9B | 4.2B | 8.1B |
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- | | | | | |
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- | MVBench | 60.4 | 60.7 | 63.7 | 66.4 |
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- | Video-MME<sub>wo subs</sub> | 42.3 | 50.6 | TBD | TBD |
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- | Video-MME<sub>w/ subs</sub> | 54.6 | 54.9 | TBD | TBD |
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  - We evaluate our models on MVBench by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
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@@ -468,13 +468,13 @@ InternVL 2.0 是一个多模态大语言模型系列,包含各种规模的模
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  ### 视频相关评测
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- | 评测数据集 | VideoChat2-HD-Mistral | Video-CCAM-9B | InternVL2-4B | InternVL2-8B |
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- | :-------------------------: | :-------------------: | :-----------: | :----------: | :----------: |
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- | 模型大小 | 7B | 9B | 4.2B | 8.1B |
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- | | | | | |
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- | MVBench | 60.4 | 60.7 | 63.7 | 66.4 |
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- | Video-MME<sub>wo subs</sub> | 42.3 | 50.6 | TBD | TBD |
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- | Video-MME<sub>w/ subs</sub> | 54.6 | 54.9 | TBD | TBD |
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  - 我们通过从每个视频中提取16帧来评估我们的模型在MVBench上的性能,每个视频帧被调整为448x448的图像。
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  ### Video Benchmarks
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58
+ | Benchmark | VideoChat2-HD-Mistral | Video-CCAM-9B | InternVL2-4B | InternVL2-8B |
59
+ | :------------------: | :-------------------: | :-----------: | :----------: | :----------: |
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+ | Model Size | 7B | 9B | 4.2B | 8.1B |
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+ | | | | | |
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+ | MVBench | 60.4 | 60.7 | 63.7 | 66.4 |
63
+ | Video-MME<br>wo subs | 42.3 | 50.6 | TBD | TBD |
64
+ | Video-MME<br>w/ subs | 54.6 | 54.9 | TBD | TBD |
65
 
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  - We evaluate our models on MVBench by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
67
 
 
468
 
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  ### 视频相关评测
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471
+ | 评测数据集 | VideoChat2-HD-Mistral | Video-CCAM-9B | InternVL2-4B | InternVL2-8B |
472
+ | :------------------: | :-------------------: | :-----------: | :----------: | :----------: |
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+ | 模型大小 | 7B | 9B | 4.2B | 8.1B |
474
+ | | | | | |
475
+ | MVBench | 60.4 | 60.7 | 63.7 | 66.4 |
476
+ | Video-MME<br>wo subs | 42.3 | 50.6 | TBD | TBD |
477
+ | Video-MME<br>w/ subs | 54.6 | 54.9 | TBD | TBD |
478
 
479
  - 我们通过从每个视频中提取16帧来评估我们的模型在MVBench上的性能,每个视频帧被调整为448x448的图像。
480