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OmniVLM-968M

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@@ -52,7 +52,7 @@ Generating captions for a 1046×1568 image on M4 Pro Macbook takes **< 2s proces
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  Below we demonstrate a figure to show how OmniVLM performs against nanollava. In all the tasks, OmniVLM outperforms the previous world's smallest vision-language model.
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- <img src="benchmark.png" alt="Benchmark Radar Chart" style="width:500px;"/>
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  We have conducted a series of experiments on benchmark datasets, including MM-VET, ChartQA, MMMU, ScienceQA, POPE to evaluate the performance of OmniVLM.
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  Below we demonstrate a figure to show how OmniVLM performs against nanollava. In all the tasks, OmniVLM outperforms the previous world's smallest vision-language model.
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  We have conducted a series of experiments on benchmark datasets, including MM-VET, ChartQA, MMMU, ScienceQA, POPE to evaluate the performance of OmniVLM.
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