Update README.md

README.md

@@ -10,14 +10,14 @@ Introducing DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) V
 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.
 
 
-[DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding]()
+[DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding](https://github.com/deepseek-ai/DeepSeek-VL2/DeepSeek_VL2_paper.pdf)
 
 [**Github Repository**](https://github.com/deepseek-ai/DeepSeek-VL2)
 
 
 Zhiyu Wu*, Xiaokang Chen*, Zizheng Pan*, Xingchao Liu*, Wen Liu**, Damai Dai, Huazuo Gao, Yiyang Ma, Chengyue Wu, Bingxuan Wang, Zhenda Xie, Yu Wu, Kai Hu, Jiawei Wang, Yaofeng Sun, Yukun Li, Yishi Piao, Kang Guan, Aixin Liu, Xin Xie, Yuxiang You, Kai Dong, Xingkai Yu, Haowei Zhang, Liang Zhao, Yisong Wang, Chong Ruan*** (* Equal Contribution, ** Project Lead, *** Corresponding author)
 
-![](https://github.com/deepseek-ai/DeepSeek-VL2/tree/main/images/vl2_teaser.jpeg)
+![](https://github.com/deepseek-ai/DeepSeek-VL2/images/vl2_teaser.jpeg)
 
 
 ### 2. Model Summary