diff --git a/aiserver.py b/aiserver.py
index e08662db..61d497e4 100644
--- a/aiserver.py
+++ b/aiserver.py
@@ -3222,6 +3222,8 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
         if item not in presets:
             presets[item] = preset_others[item]
     
+    presets['Default'] = koboldai_vars.default_preset
+    
     koboldai_vars.uid_presets = presets
     #We want our data to be a 2 deep dict. Top level is "Recommended", "Same Class", "Model 1", "Model 2", etc
     #Next layer is "Official", "Custom"
@@ -3230,7 +3232,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
     to_use = OrderedDict()
     
     to_use["Recommended"] = {
-                                "Official": [koboldai_vars.default_preset] + [presets[x] for x in presets if presets[x]['Match'] == "Recommended" and presets[x]['Preset Category'] == "Official"], 
+                                "Official": [presets[x] for x in presets if presets[x]['Match'] == "Recommended" and presets[x]['Preset Category'] == "Official"], 
                                 "Custom": [presets[x] for x in presets if presets[x]['Match'] == "Recommended" and presets[x]['Preset Category'] == "Custom"], 
                             }
     to_use["Same Class"] = {
diff --git a/koboldai_settings.py b/koboldai_settings.py
index 29fd1e81..a654f7c8 100644
--- a/koboldai_settings.py
+++ b/koboldai_settings.py
@@ -2248,6 +2248,8 @@ default_rep_range = [1.75, 2]
 default_preset = {
         "preset": "Default",
         "description": "Known working settings.",
+        "Match": "Recommended",
+        "Preset Category": "Official",
         "temp": 0.5,
         "genamt": 80,
         "top_k": 0,