From 6e9cd28ef9b34a0a10afbdf6f59e65cb6e628efb Mon Sep 17 00:00:00 2001
From: gongjy <2474590974@qq.com>
Date: Fri, 13 Dec 2024 20:08:59 +0800
Subject: [PATCH] update readme

---
 README.md    |  3 ++-
 README_en.md | 16 ++++++----------
 2 files changed, 8 insertions(+), 11 deletions(-)

diff --git a/README.md b/README.md
index 5b1c248..4b9dbf5 100644
--- a/README.md
+++ b/README.md
@@ -770,7 +770,8 @@ minimind模型本身没有使用较大的数据集训练，也没有针对回答
 > 您的支持就是持续改进项目的动力
 
 > [!NOTE]
-> 众擎易举。如果您已经尝试训练了新的MiniMind型号，欢迎在Discussions或Issues中分享您的模型权重<br/>
+> 众人拾柴火焰高
+> 如果您已经尝试训练了新的MiniMind型号，欢迎在Discussions或Issues中分享您的模型权重<br/>
 > 可以是在特定下游任务或垂直领域（例如情感识别、医疗、心理、金融、法律问答等）的MiniMind新模型版本<br/>
 > 也可以是拓展训练后（例如探索更长文本序列、更大体积（0.1B+）或更大的数据集）的MiniMind新模型版本<br/>
 > 任何分享都视作独一无二的，所有尝试都具有价值，并受到鼓励<br/>
diff --git a/README_en.md b/README_en.md
index f2e0aff..4cb7904 100644
--- a/README_en.md
+++ b/README_en.md
@@ -849,16 +849,12 @@ your model with third-party UIs, such as fastgpt, OpenWebUI, etc.
 
 
 > [!NOTE]
-> An individual's resources, energy, and time are limited, so we encourage everyone to participate and contribute
-> collectively. If you have trained model weights, you are welcome to share them in the Discussions or Issues
-> sections.<br/>
-> These models can be new versions of MiniMind tailored for specific downstream tasks or vertical domains (such as
-> sentiment recognition, healthcare, psychology, finance, legal Q&A, etc.).<br/>
-> They can also be new versions of MiniMind models that have undergone extended training, exploring longer text
-> sequences, larger volumes (such as 0.1B+), or more extensive datasets.<br/>
-> Each contribution is unique, and all attempts are valuable and encouraged.<br/>
-> Any shared contributions will be promptly recognized and compiled in the acknowledgments list. Thank you once again
-> for everyone's support!
+> Many hands make light work.
+> If you have already tried training a new MiniMind model, you are welcome to share your model weights in Discussions or Issues. <br/>
+> This can be a new version of MiniMind for a specific downstream task or vertical domain (e.g., sentiment recognition, healthcare, psychology, finance, legal Q&A, etc.). <br/>
+> It can also be a new version of MiniMind after extended training (e.g., exploring longer text sequences, larger sizes (0.1B+), or larger datasets). <br/>
+> Any contribution is considered unique and valuable, and all attempts are encouraged. <br/>
+> These contributions will be promptly discovered and compiled in the acknowledgment list. Thank you again for all the support!
 
 ## 🤝[Contributors](https://github.com/jingyaogong/minimind/graphs/contributors)