diff --git a/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral/README.md b/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral/README.md
index 793e01af..dc37c835 100644
--- a/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral/README.md
+++ b/python/llm/example/CPU/HF-Transformers-AutoModels/Model/mistral/README.md
@@ -4,6 +4,8 @@ In this directory, you will find examples on how you could apply BigDL-LLM INT4
 ## Requirements
 To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
+**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
+
 ## Example: Predict Tokens using `generate()` API
 In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations.
 ### 1. Install
diff --git a/python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md b/python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md
index 9f6ff419..900815d0 100644
--- a/python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md
+++ b/python/llm/example/CPU/PyTorch-Models/Model/mistral/README.md
@@ -4,6 +4,8 @@ In this directory, you will find examples on how you could use BigDL-LLM `optimi
 ## Requirements
 To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
+**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
+
 ## Example: Predict Tokens using `generate()` API
 In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations.
 ### 1. Install
diff --git a/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md b/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md
index 0487bbb0..f01efdaa 100644
--- a/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md
+++ b/python/llm/example/GPU/HF-Transformers-AutoModels/Model/mistral/README.md
@@ -4,6 +4,8 @@ In this directory, you will find examples on how you could apply BigDL-LLM INT4
 ## Requirements
 To run these examples with BigDL-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
+**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
+
 ## Example: Predict Tokens using `generate()` API
 In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations on Intel GPUs.
 ### 1. Install
diff --git a/python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md b/python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md
index 54488863..0713eb8c 100644
--- a/python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md
+++ b/python/llm/example/GPU/PyTorch-Models/Model/mistral/README.md
@@ -4,6 +4,8 @@ In this directory, you will find examples on how you could use BigDL-LLM `optimi
 ## Requirements
 To run these examples with BigDL-LLM on Intel GPUs, we have some recommended requirements for your machine, please refer to [here](../README.md#recommended-requirements) for more information.
 
+**Important: According to [Mistral Troubleshooting](https://huggingface.co/mistralai/Mistral-7B-v0.1#troubleshooting), please make sure you have installed `transformers==4.34.0` to run the example.**
+
 ## Example: Predict Tokens using `generate()` API
 In the example [generate.py](./generate.py), we show a basic use case for a Mistral model to predict the next N tokens using `generate()` API, with BigDL-LLM INT4 optimizations on Intel GPUs.
 ### 1. Install