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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-Phi3 | VideoChat2-HD-Mistral | Mini-InternVL-4B-1-5 | InternVL2-4B |
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- | :-------------------------: | :-------------: | :-------------------: | :------------------: | :----------: |
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- | Model Size | 4B | 7B | 4.2B | 4.2B |
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- | | | | | |
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- | MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
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- | Video-MME<sub>wo subs</sub> | - | 42.3 | TBD | TBD |
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- | Video-MME<sub>w/ subs</sub> | - | 54.6 | 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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@@ -369,13 +369,13 @@ 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-Phi3 | VideoChat2-HD-Mistral | Mini-InternVL-4B-1-5 | InternVL2-4B |
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- | :-------------------------: | :-------------: | :-------------------: | :------------------: | :----------: |
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- | 模型大小 | 4B | 7B | 4.2B | 4.2B |
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- | | | | | |
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- | MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
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- | Video-MME<sub>wo subs</sub> | - | 42.3 | TBD | TBD |
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- | Video-MME<sub>w/ subs</sub> | - | 54.6 | 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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+ | Benchmark | VideoChat2-Phi3 | VideoChat2-HD-Mistral | Mini-InternVL-4B-1-5 | InternVL2-4B |
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+ | :------------------: | :-------------: | :-------------------: | :------------------: | :----------: |
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+ | Model Size | 4B | 7B | 4.2B | 4.2B |
61
+ | | | | | |
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+ | MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
63
+ | Video-MME<br>wo subs | - | 42.3 | TBD | TBD |
64
+ | Video-MME<br>w/ subs | - | 54.6 | 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
 
 
369
 
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  ### 视频相关评测
371
 
372
+ | 评测数据集 | VideoChat2-Phi3 | VideoChat2-HD-Mistral | Mini-InternVL-4B-1-5 | InternVL2-4B |
373
+ | :------------------: | :-------------: | :-------------------: | :------------------: | :----------: |
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+ | 模型大小 | 4B | 7B | 4.2B | 4.2B |
375
+ | | | | | |
376
+ | MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
377
+ | Video-MME<br>wo subs | - | 42.3 | TBD | TBD |
378
+ | Video-MME<br>w/ subs | - | 54.6 | TBD | TBD |
379
 
380
  - 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。
381