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@@ -115,4 +115,4 @@ We evaluate the multimodal performance across a variety of datasets: **VizWiz**,
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  | MiniGPT-v2 | LLaMA-7B | 448 | - | - | - | - | 60.3 | 12.2 | - | - | - |
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  | LLaVA-v1.5-13B | Vicuna-13B | 336 | 53.6 | 71.6 | 61.3 | 85.9 | 63.3 | 67.7 | 63.6 | 35.4 | 1531.3 |
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  | MobileVLM 1.7 | MobileLLaMA 1.4B | 336 | 26.3 | 54.7 | 41.5 | 84.5 | 56.1 | 53.2 | 16.67 | 21.7 | 1196.2 |
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- | **Xmodel-VLM** | Xmodel-LM 1.1B | 336 | 41.7 | 53.3 | 39.9 | 85.9 | 58.3 | 52.0 | 45.7 | 21.8 | 1250.7 |
 
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  | MiniGPT-v2 | LLaMA-7B | 448 | - | - | - | - | 60.3 | 12.2 | - | - | - |
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  | LLaVA-v1.5-13B | Vicuna-13B | 336 | 53.6 | 71.6 | 61.3 | 85.9 | 63.3 | 67.7 | 63.6 | 35.4 | 1531.3 |
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  | MobileVLM 1.7 | MobileLLaMA 1.4B | 336 | 26.3 | 54.7 | 41.5 | 84.5 | 56.1 | 53.2 | 16.67 | 21.7 | 1196.2 |
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+ | **Xmodel-VLM** | **Xmodel-LM 1.1B** | **336** | **41.7** | **53.3** | **39.9** | **85.9** | **58.3** | **52.0** | **45.7** | **21.8** | **1250.7** |