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@@ -29,6 +29,9 @@ Our model is being trained on MMEB-train and evaluated on MMEB-eval with contras
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  - [MMEB.lora8.bs1024](https://huggingface.co/TIGER-Lab/MMEB.lora8.bs1024/)
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  - [MMEB.fullmodel.bs2048](https://huggingface.co/TIGER-Lab/MMEB.fullmodel.bs2048/)
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  ### Experimental Results
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  Our model can outperform the existing baselines by a huge margin.
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  <img width="900" alt="abs" src="https://raw.githubusercontent.com/TIGER-AI-Lab/VLM2Vec/refs/heads/main/figures//vlm2vec_results.png">
 
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  - [MMEB.lora8.bs1024](https://huggingface.co/TIGER-Lab/MMEB.lora8.bs1024/)
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  - [MMEB.fullmodel.bs2048](https://huggingface.co/TIGER-Lab/MMEB.fullmodel.bs2048/)
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+ ### Github
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+ - [Github](https://github.com/TIGER-AI-Lab/VLM2Vec)
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+
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  ### Experimental Results
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  Our model can outperform the existing baselines by a huge margin.
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  <img width="900" alt="abs" src="https://raw.githubusercontent.com/TIGER-AI-Lab/VLM2Vec/refs/heads/main/figures//vlm2vec_results.png">