diff --git a/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ/README.md b/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ/README.md
index ed329582..d899a914 100644
--- a/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ/README.md
+++ b/python/llm/example/GPU/HF-Transformers-AutoModels/Advanced-Quantizations/AWQ/README.md
@@ -4,6 +4,7 @@ This example shows how to directly run 4-bit AWQ models using BigDL-LLM on Intel
 
 ## Verified Models
 
+### Auto-AWQ Backend
 - [Llama-2-7B-Chat-AWQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-AWQ)
 - [CodeLlama-7B-AWQ](https://huggingface.co/TheBloke/CodeLlama-7B-AWQ)
 - [Mistral-7B-Instruct-v0.1-AWQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-AWQ)
@@ -15,6 +16,10 @@ This example shows how to directly run 4-bit AWQ models using BigDL-LLM on Intel
 - [Yi-34B-AWQ](https://huggingface.co/TheBloke/Yi-34B-AWQ)
 - [Mixtral-8x7B-Instruct-v0.1-AWQ](https://huggingface.co/ybelkada/Mixtral-8x7B-Instruct-v0.1-AWQ)
 
+### llm-AWQ Backend
+
+- [vicuna-7b-1.5-awq](https://huggingface.co/ybelkada/vicuna-7b-1.5-awq)
+
 ## Requirements
 
 To run these examples with BigDL-LLM, we have some recommended requirements for your machine, please refer to [here](../../../README.md#requirements) for more information.