diff --git a/README.md b/README.md
index 084d2822..d2ab19b9 100644
--- a/README.md
+++ b/README.md
@@ -28,7 +28,7 @@
 - [2023/10] `bigdl-llm` now supports [FastChat serving](python/llm/src/bigdl/llm/serving) on on both Intel CPU and GPU.
 - [2023/09] `bigdl-llm` now supports [Intel GPU](python/llm/example/GPU) (including iGPU, Arc, Flex and MAX).
 - [2023/09] `bigdl-llm` [tutorial](https://github.com/intel-analytics/bigdl-llm-tutorial) is released.
-- [2023/09] Over 30 models have been optimized/verified on `bigdl-llm`, including *LLaMA/LLaMA2, ChatGLM2/ChatGLM3, Mistral, Falcon, MPT, LLaVA, WizardCoder, Dolly, Whisper, Baichuan/Baichuan2, InternLM, Skywork, QWen/Qwen-VL, Aquila, MOSS,* and more; see the complete list [here](#verified-models).
+- [2023/09] Over 40 models have been optimized/verified on `bigdl-llm`, including *LLaMA/LLaMA2, ChatGLM2/ChatGLM3, Mistral, Falcon, MPT, LLaVA, WizardCoder, Dolly, Whisper, Baichuan/Baichuan2, InternLM, Skywork, QWen/Qwen-VL, Aquila, MOSS,* and more; see the complete list [here](#verified-models).
      
 ### `bigdl-llm` Demos
 See the ***optimized performance*** of `chatglm2-6b` and `llama-2-13b-chat` models on 12th Gen Intel Core CPU and Intel Arc GPU below.
@@ -70,10 +70,11 @@ See the ***optimized performance*** of `chatglm2-6b` and `llama-2-13b-chat` mode
 #### CPU INT4
 ##### Install
 You may install **`bigdl-llm`** on Intel CPU as follows:
+> Note: See the [CPU installation guide](https://bigdl.readthedocs.io/en/latest/doc/LLM/Overview/install_cpu.html) for more details.
 ```bash
 pip install --pre --upgrade bigdl-llm[all]
 ```
-> Note: `bigdl-llm` has been tested on Python 3.9
+> Note: `bigdl-llm` has been tested on Python 3.9, 3.10 and 3.11
 
 ##### Run Model
 You may apply INT4 optimizations to any Hugging Face *Transformers* models as follows.
@@ -100,7 +101,7 @@ You may install **`bigdl-llm`** on Intel GPU as follows:
 # below command will install intel_extension_for_pytorch==2.1.10+xpu as default
 pip install --pre --upgrade bigdl-llm[xpu] -f https://developer.intel.com/ipex-whl-stable-xpu
 ```
-> Note: `bigdl-llm` has been tested on Python 3.9
+> Note: `bigdl-llm` has been tested on Python 3.9, 3.10 and 3.11
 
 ##### Run Model
 You may apply INT4 optimizations to any Hugging Face *Transformers* models as follows.
diff --git a/docs/readthedocs/source/doc/LLM/Overview/install_cpu.md b/docs/readthedocs/source/doc/LLM/Overview/install_cpu.md
index 5c2642db..4285327d 100644
--- a/docs/readthedocs/source/doc/LLM/Overview/install_cpu.md
+++ b/docs/readthedocs/source/doc/LLM/Overview/install_cpu.md
@@ -17,7 +17,7 @@ Please refer to [Environment Setup](#environment-setup) for more information.
 
 .. important::
 
-   ``bigdl-llm`` is tested with Python 3.9, which is recommended for best practices.
+   ``bigdl-llm`` is tested with Python 3.9, 3.10 and 3.11; Python 3.9 is recommended for best practices.
 ```
 
 ## Recommended Requirements
@@ -70,4 +70,4 @@ Then for running a LLM model with BigDL-LLM optimizations (taking an `example.py
          # e.g. for a server with 48 cores per socket
          export OMP_NUM_THREADS=48
          numactl -C 0-47 -m 0 python example.py
-```
\ No newline at end of file
+```