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@@ -12,7 +12,7 @@ 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://
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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://arxiv.org/abs/2412.10302)
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[**Github Repository**](https://github.com/deepseek-ai/DeepSeek-VL2)
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