diff --git a/intel_extension_for_transformers/neural_chat/README.md b/intel_extension_for_transformers/neural_chat/README.md
index e5aba9f997b..df8d7099afc 100644
--- a/intel_extension_for_transformers/neural_chat/README.md
+++ b/intel_extension_for_transformers/neural_chat/README.md
@@ -144,6 +144,7 @@ The table below displays the validated model list in NeuralChat for both inferen
 |LLaMA2 series| ✅| ✅|✅| ✅    |
 |MPT series| ✅| ✅|✅| ✅    |
 |Mistral| ✅| ✅|✅| ✅    |
+|Mixtral-8x7b-v0.1| ✅| ✅|✅| ✅    |
 |ChatGLM series| ✅| ✅|✅| ✅    |
 |Qwen series| ✅| ✅|✅| ✅    |
 |StarCoder series|   |   |   | ✅ |
diff --git a/intel_extension_for_transformers/neural_chat/chatbot.py b/intel_extension_for_transformers/neural_chat/chatbot.py
index 57d7daefcbc..855c6837ade 100644
--- a/intel_extension_for_transformers/neural_chat/chatbot.py
+++ b/intel_extension_for_transformers/neural_chat/chatbot.py
@@ -96,7 +96,8 @@ def build_chatbot(config: PipelineConfig=None):
          "bloom" in config.model_name_or_path.lower() or \
          "starcoder" in config.model_name_or_path.lower() or \
          "codegen" in config.model_name_or_path.lower() or \
-         "magicoder" in config.model_name_or_path.lower():
+         "magicoder" in config.model_name_or_path.lower() or \
+         "mixtral" in config.model_name_or_path.lower():
         from .models.base_model import BaseModel
         adapter = BaseModel()
     else:
diff --git a/intel_extension_for_transformers/neural_chat/models/model_utils.py b/intel_extension_for_transformers/neural_chat/models/model_utils.py
index 014e68e38bf..ed132dbd90f 100644
--- a/intel_extension_for_transformers/neural_chat/models/model_utils.py
+++ b/intel_extension_for_transformers/neural_chat/models/model_utils.py
@@ -499,6 +499,7 @@ def load_model(
             or config.model_type == "mpt"
             or config.model_type == "llama"
             or config.model_type == "mistral"
+            or config.model_type == "mixtral"
         ) and not ipex_int8) or config.model_type == "opt":
             with smart_context_manager(use_deepspeed=use_deepspeed):
                 model = AutoModelForCausalLM.from_pretrained(
@@ -553,7 +554,7 @@ def load_model(
                 )
         else:
             raise ValueError(f"unsupported model name or path {model_name}, \
-            only supports FLAN-T5/LLAMA/MPT/GPT/BLOOM/OPT/QWEN/NEURAL-CHAT/MISTRAL/CODELLAMA/STARCODER/CODEGEN now.")
+            only supports t5/llama/mpt/gptj/bloom/opt/qwen/mistral/mixtral/gpt_bigcode model type now.")
     except EnvironmentError as e:
         logging.error(f"Exception: {e}")
         if "not a local folder and is not a valid model identifier" in str(e):