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@@ -17,13 +17,13 @@ ColSmolVLM is a model based on a novel model architecture and training strategy
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  It is a SmolVLM extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.
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  It was introduced in the paper [ColPali: Efficient Document Retrieval with Vision Language Models](https://arxiv.org/abs/2407.01449) and first released in [this repository](https://github.com/ManuelFay/colpali)
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- <p align="center"><img width=800 src="https://github.com/illuin-tech/colpali/blob/main/assets/colpali_architecture.webp?raw=true"/></p>
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- ## Version specificity
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- This version is trained with the commit b983e40 of the Colpali repository. (main branch from the repo)
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- Data is the same as the ColPali data described in the paper.
 
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  ## Model Training
 
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  It is a SmolVLM extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.
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  It was introduced in the paper [ColPali: Efficient Document Retrieval with Vision Language Models](https://arxiv.org/abs/2407.01449) and first released in [this repository](https://github.com/ManuelFay/colpali)
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+ This version is the untrained base version to guarantee deterministic projection layer initialization.
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+ ## Usage
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+ > [!WARNING]
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+ > This version should not be used: it is solely the base version useful for deterministic LoRA initialization.
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  ## Model Training