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README.md
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@@ -37,7 +37,7 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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### Image Benchmarks
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| Benchmark | PaliGemma-3B | Phi-3-Vision | Mini-InternVL-4B-1
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| :--------------------------: | :----------: | :----------: | :------------------: | :----------: |
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| Model Size | 2.9B | 4.2B | 4.2B | 4.2B |
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### Video Benchmarks
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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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### 图像相关评测
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| 评测数据集 | PaliGemma-3B | Phi-3-Vision | Mini-InternVL-4B-1
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| :--------------------------: | :----------: | :----------: | :------------------: | :----------: |
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| 模型大小 | 2.9B | 4.2B | 4.2B | 4.2B |
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### 视频相关评测
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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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### Image Benchmarks
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| Benchmark | PaliGemma-3B | Phi-3-Vision | Mini-InternVL-4B-1-5 | InternVL2-4B |
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| :--------------------------: | :----------: | :----------: | :------------------: | :----------: |
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| Model Size | 2.9B | 4.2B | 4.2B | 4.2B |
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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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| MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
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| MMBench-Video<sub>8f</sub> | - | - | 1.06 | 1.10 |
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| MMBench-Video<sub>16f</sub> | - | - | 1.10 | 1.18 |
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| Video-MME<br>wo subs | - | 42.3 | TODO | TODO |
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| Video-MME<br>w/ subs | - | 54.6 | TODO | TODO |
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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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### 图像相关评测
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| 评测数据集 | PaliGemma-3B | Phi-3-Vision | Mini-InternVL-4B-1-5 | InternVL2-4B |
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| :--------------------------: | :----------: | :----------: | :------------------: | :----------: |
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| 模型大小 | 2.9B | 4.2B | 4.2B | 4.2B |
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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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| MVBench | 55.1 | 60.4 | 46.9 | 63.7 |
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| MMBench-Video<sub>8f</sub> | - | - | 1.06 | 1.10 |
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| MMBench-Video<sub>16f</sub> | - | - | 1.10 | 1.18 |
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| Video-MME<br>wo subs | - | 42.3 | TODO | TODO |
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| Video-MME<br>w/ subs | - | 54.6 | TODO | TODO |
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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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