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README.md
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@@ -77,7 +77,7 @@ To evaluate the model’s responses, the **[LLM-as-Juries](https://arxiv.org/abs
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Here’s a visualization of the results:
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** in terms of accuracy and efficiency, despite having a smaller parameter size.
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Here’s a visualization of the results:
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
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In comparison, this model outperforms **[HuggingFaceM4/Idefics3-8B-Llama3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3)** in terms of accuracy and efficiency, despite having a smaller parameter size.
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