diff --git a/langport/model/executor/huggingface.py b/langport/model/executor/huggingface.py
index 229c4cc..51f442c 100644
--- a/langport/model/executor/huggingface.py
+++ b/langport/model/executor/huggingface.py
@@ -259,14 +259,17 @@ def load_model(
             # raises an error on incompatible platforms
             from transformers import BitsAndBytesConfig
 
-            if "max_memory" in kwargs:
-                kwargs["max_memory"]["cpu"] = (
-                    str(math.floor(psutil.virtual_memory().available / 2**20)) + "Mib"
-                )
+            if "max_memory" not in kwargs:
+                kwargs["max_memory"] = {}
+            kwargs["max_memory"]["cpu"] = (
+                str(math.floor(psutil.virtual_memory().available / 2**20)) + "Mib"
+            )
             kwargs["quantization_config"] = BitsAndBytesConfig(
-                load_in_8bit_fp32_cpu_offload=cpu_offloading
+                llm_int8_enable_fp32_cpu_offload = cpu_offloading,
+                load_in_8bit = quantization.lower() in ["8", "8bit", "8-bit", "8bits", "8-bits"],
+                load_in_4bit = quantization.lower() in ["4", "4bit", "4-bit", "4bits", "4-bits"],
             )
-            kwargs["load_in_8bit"] = quantization!=None
+            kwargs["device_map"] = "auto"
             # Load model
             model, tokenizer = self._load_hf_model(adapter, model_path, kwargs)
         elif quantization is not None or gptq: