diff --git a/README.md b/README.md
index edd6156..9974a9c 100644
--- a/README.md
+++ b/README.md
@@ -23,14 +23,13 @@ Our vision for KTransformers is to serve as a flexible platform for experimentin
 
 <h2 id="Updates">🔥 Updates</h2>
 
-* **Feb 10, 2025**: Support Deepseek-R1 and V3 on single (24GB VRAM)/multi gpu and 382G DRAM, up to 3~28x speedup. The detailed tutorial is [here](./doc/en/DeepseekR1_V3_tutorial.md).
-* **Aug 28, 2024**: Support 1M context under the InternLM2.5-7B-Chat-1M model, utilizing 24GB of VRAM and 150GB of DRAM. The detailed tutorial is [here](./doc/en/long_context_tutorial.md).
+* **Feb 10, 2025**: Support Deepseek-R1 and V3 on single (24GB VRAM)/multi gpu and 382G DRAM, up to 3~28x speedup. For detailed show case and reproduction tutorial, see [here](./doc/en/DeepseekR1_V3_tutorial.md).
 * **Aug 28, 2024**: Decrease DeepseekV2's required VRAM from 21G to 11G.
-* **Aug 15, 2024**: Update detailed [TUTORIAL](doc/en/injection_tutorial.md) for injection and multi-GPU. 
+* **Aug 15, 2024**: Update detailed [tutorial](doc/en/injection_tutorial.md) for injection and multi-GPU. 
 * **Aug 14, 2024**: Support llamfile as linear backend. 
 * **Aug 12, 2024**: Support multiple GPU; Support new model: mixtral 8\*7B  and 8\*22B; Support q2k, q3k, q5k dequant on gpu.
 * **Aug 9, 2024**: Support windows native.
-
+<!-- * **Aug 28, 2024**: Support 1M context under the InternLM2.5-7B-Chat-1M model, utilizing 24GB of VRAM and 150GB of DRAM. The detailed tutorial is [here](./doc/en/long_context_tutorial.md). -->
 <h2 id="show-cases">🌟 Show Cases</h2>
 
 <div>
@@ -105,11 +104,6 @@ Getting started with KTransformers is simple! Follow the steps below to set up a
 
 To install KTransformers, follow the official [Installation Guide](https://kvcache-ai.github.io/ktransformers/).
 
-Alternatively, you can install it directly via pip:
-
-```bash
-pip install ktransformers
-```
 
 <h2 id="tutorial">📃 Brief Injection Tutorial</h2>
 At the heart of KTransformers is a user-friendly, template-based injection framework. 
diff --git a/doc/SUMMARY.md b/doc/SUMMARY.md
index 4686212..c2461fc 100644
--- a/doc/SUMMARY.md
+++ b/doc/SUMMARY.md
@@ -6,10 +6,10 @@
 
 # Tutorial 
 - [Deepseek-R1/V3 Show Case](en/DeepseekR1_V3_tutorial.md)
-- [Why Ktransformers So Fast](en/deepseek-v2-injection.md)
+- [Why KTransformers So Fast](en/deepseek-v2-injection.md)
 - [Injection Tutorial](en/injection_tutorial.md)
 - [Multi-GPU Tutorial](en/multi-gpu-tutorial.md)
-# Server
+# Server(Temperary Deprected)
   - [Server](en/api/server/server.md)
   - [Website](en/api/server/website.md)
   - [Tabby](en/api/server/tabby.md)
diff --git a/doc/en/install.md b/doc/en/install.md
index 8c516a0..a191d22 100644
--- a/doc/en/install.md
+++ b/doc/en/install.md
@@ -1,6 +1,6 @@
 
 # How to Run DeepSeek-R1
-In this document, we will show you how to run the local_chat.py script to test the DeepSeek-R1's performance. There are two versions: 
+In this document, we will show you how to install and run KTransformers on your local machine. There are two versions: 
 * V0.2 is the current main branch.
 * V0.3 is a preview version only provides binary distribution for now.
 * To reproduce our DeepSeek-R1/V3 results, please refer to [Deepseek-R1/V3 Tutorial](./DeepseekR1_V3_tutorial.md) for more detail settings after installation.