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@@ -10,7 +10,7 @@ Introducing DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) V
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  DeepSeek-VL2 achieves competitive or state-of-the-art performance with similar or fewer activated parameters compared to existing open-source dense and MoE-based models.
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- [DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding](https://github.com/deepseek-ai/DeepSeek-VL2/DeepSeek_VL2_paper.pdf)
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  [**Github Repository**](https://github.com/deepseek-ai/DeepSeek-VL2)
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  DeepSeek-VL2 achieves competitive or state-of-the-art performance with similar or fewer activated parameters compared to existing open-source dense and MoE-based models.
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+ [DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding](https://github.com/deepseek-ai/DeepSeek-VL2/blob/main/DeepSeek_VL2_paper.pdf)
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  [**Github Repository**](https://github.com/deepseek-ai/DeepSeek-VL2)
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