diff --git a/README.md b/README.md
index 600b876..1aa932a 100644
--- a/README.md
+++ b/README.md
@@ -126,9 +126,6 @@
   - [Efficient Inference with llama.cpp, ollama, vLLM](#efficient-inference-with-llamacpp-ollama-vllm)
 - [Fine-tuning](#fine-tuning)
 - [MiniCPM-V \& o Cookbook](#minicpm-v--o-cookbook)
-  - [Easy Usage Documentation](#easy-usage-documentation)
-  - [Broad User Spectrum](#broad-user-spectrum)
-  - [Versatile Deployment Scenarios](#versatile-deployment-scenarios)
 - [Awesome work using MiniCPM-V \& MiniCPM-o](#awesome-work-using-minicpm-v--minicpm-o)
 - [FAQs](#faqs)
 - [Limitations](#limitations)
@@ -2572,12 +2569,12 @@ Best Practices：[MiniCPM-V 1.0](https://github.com/modelscope/swift/blob/main/d
 
 Discover comprehensive, ready-to-deploy solutions for the MiniCPM-V and MiniCPM-o model series in our structured [Cookbook](https://github.com/OpenSQZ/MiniCPM-V-CookBook), which empowers developers to rapidly implement multimodal AI applications with integrated vision, speech, and live-streaming capabilities. Key features include:
 
-### Easy Usage Documentation
+**Easy Usage Documentation**
 
 Our comprehensive [documentation website](https://minicpm-o.readthedocs.io/en/latest/index.html) presents every recipe in a clear, well-organized manner.
 All features are displayed at a glance, making it easy for you to quickly find exactly what you need.
 
-### Broad User Spectrum
+**Broad User Spectrum**
 
 We support a wide range of users, from individuals to enterprises and researchers.
 
@@ -2585,7 +2582,7 @@ We support a wide range of users, from individuals to enterprises and researcher
 * **Enterprises**: Achieve high-throughput, scalable performance with [vLLM](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/deployment/vllm/minicpm-v4_vllm.md) and [SGLang](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/deployment/sglang/MiniCPM-v4_sglang.md).
 * **Researchers**: Leverage advanced frameworks including [Transformers](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/finetune_full.md), [LLaMA-Factory](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/finetune_llamafactory.md), [SWIFT](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/swift.md), and [Align-anything](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/align_anything.md) to enable flexible model development and cutting-edge experimentation.
 
-### Versatile Deployment Scenarios
+**Versatile Deployment Scenarios**
 
 Our ecosystem delivers optimal solution for a variety of hardware environments and deployment demands.
 
diff --git a/README_zh.md b/README_zh.md
index a273b26..3267c9d 100644
--- a/README_zh.md
+++ b/README_zh.md
@@ -113,9 +113,6 @@
   - [基于 llama.cpp、ollama、vLLM 的高效推理](#基于-llamacppollamavllm-的高效推理)
 - [微调](#微调)
 - [MiniCPM-V \& o 使用手册](#minicpm-v--o-使用手册)
-  - [易用的文档](#易用的文档)
-  - [广泛的用户支持](#广泛的用户支持)
-  - [多样化的部署场景](#多样化的部署场景)
 - [基于 MiniCPM-V \& MiniCPM-o 的更多项目](#基于-minicpm-v--minicpm-o-的更多项目)
 - [FAQs](#faqs)
 - [模型局限性](#模型局限性)
@@ -2456,11 +2453,11 @@ pip install vllm
 
 欢迎探索我们整理的[使用手册 (Cookbook)](https://github.com/OpenSQZ/MiniCPM-V-CookBook)，其中提供了针对 MiniCPM-V 和 MiniCPM-o 模型系列的全面、开箱即用的解决方案。本手册赋能开发者快速构建集成了视觉、语音和直播能力的多模态 AI 应用。主要特性包括：
 
-### 易用的文档
+**易用的文档**
 
 我们的详尽[文档网站](https://minicpm-o.readthedocs.io/en/latest/index.html)以清晰、条理分明的方式呈现每一份解决方案。
 
-### 广泛的用户支持
+**广泛的用户支持**
 
 我们支持从个人用户到企业和研究者的广泛用户群体。
 
@@ -2468,7 +2465,7 @@ pip install vllm
 *   **企业用户**：通过[vLLM](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/deployment/vllm/minicpm-v4_vllm.md)和[SGLang](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/deployment/sglang/MiniCPM-v4_sglang.md)实现高吞吐量、可扩展的高性能部署。
 *   **研究者**：利用包括[Transformers](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/finetune_full.md)、[LLaMA-Factory](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/finetune_llamafactory.md)、[SWIFT](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/swift.md)和[Align-anything](https://github.com/OpenSQZ/MiniCPM-V-CookBook/blob/main/finetune/align_anything.md)在内的先进框架，进行灵活的模型开发和前沿实验。
 
-### 多样化的部署场景
+**多样化的部署场景**
 
 我们的生态系统为各种硬件环境和部署需求提供最优解决方案。