diff --git a/modeling/inference_models/generic_hf_torch/class.py b/modeling/inference_models/generic_hf_torch/class.py
index dbe1d038..35ad1a55 100644
--- a/modeling/inference_models/generic_hf_torch/class.py
+++ b/modeling/inference_models/generic_hf_torch/class.py
@@ -11,6 +11,7 @@ from transformers import AutoModelForCausalLM, GPTNeoForCausalLM, GPT2LMHeadMode
 import utils
 import modeling.lazy_loader as lazy_loader
 import koboldai_settings
+import importlib
 from logger import logger
 
 
@@ -26,17 +27,21 @@ class model_backend(HFTorchInferenceModel):
 
     def get_requested_parameters(self, model_name, model_path, menu_path, parameters = {}):
         requested_parameters = super().get_requested_parameters(model_name, model_path, menu_path, parameters = {})
-        requested_parameters.append({
-                                    "uitype": "toggle",
-                                    "unit": "bool",
-                                    "label": "Use 4-bit",
-                                    "id": "use_4_bit",
-                                    "default": False,
-                                    "tooltip": "Whether or not to use BnB's 4-bit mode",
-                                    "menu_path": "Layers",
-                                    "extra_classes": "",
-                                    "refresh_model_inputs": False
-                                })
+        dependency_exists = importlib.util.find_spec("bitsandbytes")
+        if dependency_exists:
+            requested_parameters.append({
+                                        "uitype": "toggle",
+                                        "unit": "bool",
+                                        "label": "Use 4-bit",
+                                        "id": "use_4_bit",
+                                        "default": False,
+                                        "tooltip": "Whether or not to use BnB's 4-bit mode",
+                                        "menu_path": "Layers",
+                                        "extra_classes": "",
+                                        "refresh_model_inputs": False
+                                    })
+        else:
+            logger.warning("Bitsandbytes is not installed, you can not use Huggingface models in 4-bit")
         return requested_parameters
  
     def set_input_parameters(self, parameters):