update readme

README.md

@@ -13,7 +13,7 @@ The [MMBench](https://mmbench.opencompass.org.cn/) benchmark contains 20 categor
 
 After fine-tuning the 20 LoRAs, they are merged with the InternVL-Chat-V1-5 model using the TIES method. 
 
-Thanks to the OpenCompass MMBench team for updating the [leaderboard](https://mmbench.opencompass.org.cn/leaderboard) on August 27, 2024. We have collected the ranks and scores from the leaderboard for reference. For example, a ranking of "7/82.1" indicates a 7th place finish with a score of 82.1 in that category. We chose GPT-4o (0513, detail-high) because it is the best-performing GPT-4o model in the MMBench Test (CN).
+A huge thank you to the OpenCompass MMBench team for updating the [leaderboard](https://mmbench.opencompass.org.cn/leaderboard) on August 27, 2024. We have collected the ranks and scores from the leaderboard for reference. For example, a ranking of "7/82.1" indicates a 7th place finish with a score of 82.1 in that category. We chose GPT-4o (0513, detail-high) because it is the best-performing GPT-4o model in the MMBench Test (CN).
 
 | Model      | MMBench Test (CN) |MMBench v1.1 Test (CN) |CCBench dev |MMBench Test |MMBench v1.1 Test |
 | ----------- | ----------- | ----------- | ----------- | ----------- |----------- |