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@@ -40,7 +40,7 @@ To further enhance the model's multimodal capabilities, we employ trainable spec
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  OmniFusion-1.1 was benchmarked against the latest multimodal SOTA models. It excelled in generative metrics and classification benchmarks like Text-VQA.
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  <p align="left">
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- <img src="https://github.com/AIRI-Institute/OmniFusion/blob/main/content/radar_plot_gigachat.png" width="70%">
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  </p>
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  OmniFusion-1.1 was benchmarked against the latest multimodal SOTA models. It excelled in generative metrics and classification benchmarks like Text-VQA.
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  <p align="left">
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+ <img src="https://raw.githubusercontent.com/AIRI-Institute/OmniFusion/main/content/radar_plot_gigachat.png" width="70%">
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  </p>
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