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@@ -169,7 +169,7 @@ We built upon LLaVA (https://llava-vl.github.io) to train our model. We use mult
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  **Training Data:**
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- Overall, our training data is largely comprised of two key sources: (1) publicly available datasets (2) internally created synthetic data targeting specific capabilities including document understanding tasks. A detailed attribution of datasets can be found in the [technical report](https://arxiv.org/abs/2502.09927).
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  **Infrastructure:**
 
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  **Training Data:**
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+ Overall, our training data is largely comprised of two key sources: (1) publicly available datasets (2) internally created synthetic data targeting specific capabilities including document understanding tasks. A detailed attribution of datasets can be found on our [github page](https://github.com/ibm-granite/granite-vision-models) and also in the [technical report](https://arxiv.org/abs/2502.09927).
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  **Infrastructure:**