diff --git a/README.md b/README.md
index 0d3945b..5a68966 100644
--- a/README.md
+++ b/README.md
@@ -59,7 +59,7 @@
 训练过程究竟难不难？那么现在，探索它们的答案，一起感受创造的乐趣吧！
 
 > [!TIP]
-> （截至2026-02-15）MiniMind-V 系列已完成了以下型号模型训练，最小仅需67M (0.067B)，即可具备识图和对话的能力！
+> （截至2026-04-20）MiniMind-V 系列已完成了以下型号模型训练，最小仅需67M (0.067B)，即可具备识图和对话的能力！
 
 | 模型 (大小) | release |
 |---|---|
diff --git a/README_en.md b/README_en.md
index 9a6f17f..fe0b9d9 100644
--- a/README_en.md
+++ b/README_en.md
@@ -61,7 +61,7 @@ Is it really as complex as imagined to build a VLM-based multimodal large model?
 Is the training process difficult? Now, let's explore the answers and feel the joy of creation together!
 
 > [!TIP]
-> (As of 2026-02-15) The MiniMind-V series has completed the training of the following model versions, with the smallest
+> (As of 2026-04-20) The MiniMind-V series has completed the training of the following model versions, with the smallest
 > requiring only 67M (0.067B) parameters, capable of both image recognition and conversation!
 
 | Model (Size) | Release |