Update README.md

README.md

@@ -36,7 +36,7 @@ It is _**the largest open-source vision/vision-language foundation model (14B)**
     - Note: In this stage, we load the pretrained weights of InternViT-6B-224px and interpolate its position embedding to the size corresponding to 448 x 448 pixels. Moreover, in order to reduce the number of visual tokens, we use a pixel shuffle to reduce 1024 tokens to 256 tokens.
   - SFT Stage
     - Learnable Component: MLP + LLM
-    - Data: A comprehensive collection of open-source SFT datasets, along with their Chinese translation versions, totaling approximately 10M samples.
+    - Data: A comprehensive collection of open-source SFT datasets, along with their Chinese translation versions, totaling approximately 6M samples.
 
 
 ## Model Usage