Update README.md

README.md

@@ -27,7 +27,7 @@ We achieved the top ranking on the MMEB leaderboard using only a small amount of
 
 
 ## Model Performance
-LLaVE-7B achieved the SOTA performance on MMEB using only 662K training pairs.
+LLaVE-2B achieved excellent performance on MMEB using fewer parameters and 662K training pairs.
 ![MMEB](./figures/results.png)
 
 Although LLaVE is trained on image-text data, it can generalize to text-video retrieval tasks in a zero-shot manner and achieve strong performance, demonstrating its remarkable potential for transfer to other embedding tasks.