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README.md

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 # ColQwen2: Visual Retriever based on Qwen2-VL-2B-Instruct with ColBERT strategy
 
-### This is the with the 7B base version trained with batch_size 32 for 1 epoch
+### This is the with the 7B base version trained with batch_size 32 for 1 epoch. It is much more demanding in RAM and not as good as ColQwen2-v1.0 so this is essentially for experimental purposes.
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 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.