From 1d62ac21f709d8c005ea126294e9df8ef3f1c96b Mon Sep 17 00:00:00 2001
From: Jiaqi Liao <30439460+SkqLiao@users.noreply.github.com>
Date: Fri, 5 Dec 2025 23:08:02 +0800
Subject: [PATCH] Update Kimi-K2-Thinking-Native.md (#1673)

---
 doc/en/Kimi-K2-Thinking-Native.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/doc/en/Kimi-K2-Thinking-Native.md b/doc/en/Kimi-K2-Thinking-Native.md
index 8ce8d27..446b7e0 100644
--- a/doc/en/Kimi-K2-Thinking-Native.md
+++ b/doc/en/Kimi-K2-Thinking-Native.md
@@ -14,6 +14,7 @@ This tutorial demonstrates how to run Kimi-K2 model inference using SGLang integ
 
 **Minimum Configuration:**
 - **GPU**: NVIDIA RTX 4090 48GB (or equivalent with at least 48GB VRAM available)
+- **CPU**: Intel Xeon with AMX support (e.g., Sapphire Rapids)
 - **RAM**: At least 650GB system memory
 - **Storage**: ~600GB for model weights (native INT4 weight, same weight dir for CPU and GPU)
 
@@ -40,8 +41,6 @@ git checkout kimi_k2
 pip install -e "python[all]"
 ```
 
-
-
 3. **CUDA toolkit** - Compatible with your GPU (CUDA 11.8+ recommended)
 4. **Hugging Face CLI** - For downloading models:
    ```bash