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paligemma-3b-ft-tablevqa-896-lora

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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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- ![constellation](https://i.postimg.cc/t4tjhy6b/constellation-0.png)
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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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  Here’s a visualization of the results:
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+ ![constellation](https://i.postimg.cc/y6tkYg9F/constellation-03.png)
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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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