clarify VLM model used? (#1)

- clarify VLM model used? (610c4f95543e0364216d3c66e7c975cd5198697a)

Co-authored-by: Daniel van Strien <davanstrien@users.noreply.huggingface.co>

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@@ -8,7 +8,7 @@ tags:
 - colpali
 - vidore
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-# ColQwen2: Visual Retriever based on PaliGemma-3B with ColBERT strategy
 ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
 It is a [Qwen2-VL-2B](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.

 - colpali
 - vidore
 ---
+# ColQwen2: Visual Retriever based on Qwen2-VL-2B-Instruct with ColBERT strategy
 ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
 It is a [Qwen2-VL-2B](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.