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  ## ColVintern-1B-v1 🇻🇳 ❄️ - Colpali version for Vietnamese.
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  **What's new in ColVintern-1B-v1!**
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- - We coded and successfully trained the **Colpali pipeline** for **Vintern-1B-v2**. The model supports RAG by extracting vector embeddings for questions and images containing related information.
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  - This is the first experimental version, trained on the [**Colpali dataset**](https://huggingface.co/datasets/vidore/colpali_train_set) for English and **5%** of the image-based question-answer pairs we have for Vietnamese.
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  - The model achieves results nearly equivalent to Colpali version 1, with strong support for Vietnamese texts and only 1 billion parameters compared to current 2B-3B Colpali models.
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  ## ColVintern-1B-v1 🇻🇳 ❄️ - Colpali version for Vietnamese.
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  **What's new in ColVintern-1B-v1!**
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+ - We coded and successfully trained the **Colpali pipeline** for **Vintern-1B-v2**. The model supports RAG by extracting embedding vectors for questions and images containing related information.
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  - This is the first experimental version, trained on the [**Colpali dataset**](https://huggingface.co/datasets/vidore/colpali_train_set) for English and **5%** of the image-based question-answer pairs we have for Vietnamese.
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  - The model achieves results nearly equivalent to Colpali version 1, with strong support for Vietnamese texts and only 1 billion parameters compared to current 2B-3B Colpali models.
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