From 20a43d7db0138718b54de89aa3a50c3a9500000d Mon Sep 17 00:00:00 2001
From: jingyaogong <gongjy.cs@qq.com>
Date: Wed, 7 Jan 2026 00:58:38 +0800
Subject: [PATCH] [update] readme

---
 README.md    | 12 ++++++++++--
 README_en.md | 11 +++++++++--
 2 files changed, 19 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index d9415a6..8ecc4c5 100644
--- a/README.md
+++ b/README.md
@@ -1665,13 +1665,13 @@ MiniMind模型本身预训练数据集小的可怜，也没有针对性的对测
 
 # 📌 Others
 
-## 模型转换
+## 🔧 模型转换
 
 * [./scripts/convert_model.py](./scripts/convert_model.py)可以实现`torch / transformers`模型的互相转换
 * 如无特别说明，`MiniMind2`模型均默认为`Transformers`格式的模型，需提前`t2t`转换！
 
 
-## 基于MiniMind-API服务接口
+## 🖥️ 基于MiniMind-API服务接口
 
 * [./scripts/serve_openai_api.py](./scripts/serve_openai_api.py)完成了兼容openai-api的最简聊天接口，方便将自己的模型接入第三方UI
   例如FastGPT、OpenWebUI、Dify等等。
@@ -1712,6 +1712,14 @@ MiniMind模型本身预训练数据集小的可怜，也没有针对性的对测
     }'
     ```
 
+## 👨‍💻 更多
+
+* <a href="https://github.com/jingyaogong/minimind/discussions/618">🔗从MiniMind-LLM微调扩散语言模型</a>
+
+* <a href="https://github.com/jingyaogong/minimind/discussions/611">🔗模型的generate方法说明</a>
+
+---
+
 ## <img src="https://avatars.githubusercontent.com/u/136984999" height="28" style="vertical-align: middle;"/> [vllm](https://github.com/vllm-project/vllm)
 
 vLLM是极其流行的高效推理框架，支持大模型快速部署，优化显存利用与吞吐量。
diff --git a/README_en.md b/README_en.md
index 296cfda..b495a53 100644
--- a/README_en.md
+++ b/README_en.md
@@ -1599,14 +1599,14 @@ Models generally achieve baseline performance due to small parameter scales and
 
 # 📌 Others
 
-## Model Conversion
+## 🔧 Model Conversion
 
 * [./scripts/convert_model.py](./scripts/convert_model.py) enables mutual conversion of `torch / transformers` models
 * Unless otherwise specified, `MiniMind2` models are by default in `Transformers` format and require `t2t` conversion beforehand!
 
 
 
-## OpenAI-API Based MiniMind Service Interface
+## 🖥️ OpenAI-API Based MiniMind Service Interface
 
 * [./scripts/serve_openai_api.py](./scripts/serve_openai_api.py) provides extremely simple OpenAI-API compatible chat interface, convenient for integration with third-party UIs like FastGPT, Open-WebUI, Dify, etc.
 
@@ -1646,6 +1646,13 @@ Models generally achieve baseline performance due to small parameter scales and
     }'
     ```
 
+## 👨‍💻 More
+
+* <a href="https://github.com/jingyaogong/minimind/discussions/618">🔗Fine-tuning Diffusion Language Models from MiniMind-LLM</a>
+* <a href="https://github.com/jingyaogong/minimind/discussions/611">🔗Model generate method explanation</a>
+
+---
+
 ## <img src="https://avatars.githubusercontent.com/u/136984999" height="28" style="vertical-align: middle;"/> [vllm](https://github.com/vllm-project/vllm)
 
 vLLM is an extremely popular efficient inference framework supporting fast deployment of large models, optimizing GPU memory usage and throughput.