diff --git a/.gitignore b/.gitignore
index 2d007efe..12f94ba0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -24,3 +24,4 @@ settings.json
 img_bot*
 img_me*
 prompts/[0-9]*
+models/config-user.yaml
diff --git a/modules/models.py b/modules/models.py
index 3467f4f2..2a9007e0 100644
--- a/modules/models.py
+++ b/modules/models.py
@@ -45,17 +45,14 @@ def load_model(model_name):
     shared.is_RWKV = 'rwkv-' in model_name.lower()
     shared.is_llamacpp = len(list(Path(f'{shared.args.model_dir}/{model_name}').glob('ggml*.bin'))) > 0
 
-    # Default settings
+    # Load the model in simple 16-bit mode by default
     if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.wbits, shared.args.auto_devices, shared.args.disk, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.deepspeed, shared.args.flexgen, shared.is_RWKV, shared.is_llamacpp]):
-        if any(size in shared.model_name.lower() for size in ('13b', '20b', '30b')):
-            model = AutoModelForCausalLM.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}"), device_map='auto', load_in_8bit=True)
+        model = AutoModelForCausalLM.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.bfloat16 if shared.args.bf16 else torch.float16)
+        if torch.has_mps:
+            device = torch.device('mps')
+            model = model.to(device)
         else:
-            model = AutoModelForCausalLM.from_pretrained(Path(f"{shared.args.model_dir}/{shared.model_name}"), low_cpu_mem_usage=True, torch_dtype=torch.bfloat16 if shared.args.bf16 else torch.float16)
-            if torch.has_mps:
-                device = torch.device('mps')
-                model = model.to(device)
-            else:
-                model = model.cuda()
+            model = model.cuda()
 
     # FlexGen
     elif shared.args.flexgen:
diff --git a/server.py b/server.py
index fee8902a..ecc89320 100644
--- a/server.py
+++ b/server.py
@@ -21,6 +21,7 @@ from pathlib import Path
 import gradio as gr
 import psutil
 import torch
+import yaml
 from PIL import Image
 
 import modules.extensions as extensions_module
@@ -233,7 +234,7 @@ def get_model_specific_settings(model):
     model_settings = {}
 
     for pat in settings:
-        if re.match(pat, model.lower()):
+        if re.match(pat.lower(), model.lower()):
             for k in settings[pat]:
                 model_settings[k] = settings[pat][k]
 
@@ -249,6 +250,29 @@ def load_model_specific_settings(model, state, return_dict=False):
     return state
 
 
+def save_model_settings(model, state):
+    if model == 'None':
+        yield ("Not saving the settings because no model is loaded.")
+        return
+
+    with Path(f'{shared.args.model_dir}/config-user.yaml') as p:
+        if p.exists():
+            user_config = yaml.safe_load(open(p, 'r').read())
+        else:
+            user_config = {}
+
+        if model not in user_config:
+            user_config[model] = {}
+
+        for k in ui.list_model_elements():
+            user_config[model][k] = state[k]
+
+        with open(p, 'w') as f:
+            f.write(yaml.dump(user_config))
+
+        yield (f"Settings for {model} saved to {p}")
+
+
 def create_model_menus():
     # Finding the default values for the GPU and CPU memories
     total_mem = []
@@ -285,10 +309,12 @@ def create_model_menus():
                         ui.create_refresh_button(shared.gradio['lora_menu'], lambda: None, lambda: {'choices': get_available_loras(), 'value': shared.lora_names}, 'refresh-button')
 
         with gr.Column():
-            shared.gradio['lora_menu_apply'] = gr.Button(value='Apply the selected LoRAs')
+            with gr.Row():
+                shared.gradio['lora_menu_apply'] = gr.Button(value='Apply the selected LoRAs')
             with gr.Row():
                 unload = gr.Button("Unload the model")
                 reload = gr.Button("Reload the model")
+                save_settings = gr.Button("Save current settings for this model")
 
     with gr.Row():
         with gr.Column():
@@ -344,7 +370,11 @@ def create_model_menus():
         unload_model, None, None).then(
         ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
         update_model_parameters, shared.gradio['interface_state'], None).then(
-        load_model_wrapper, shared.gradio['model_menu'], shared.gradio['model_status'], show_progress=True)
+        load_model_wrapper, shared.gradio['model_menu'], shared.gradio['model_status'], show_progress=False)
+
+    save_settings.click(
+        ui.gather_interface_values, [shared.gradio[k] for k in shared.input_elements], shared.gradio['interface_state']).then(
+        save_model_settings, [shared.gradio[k] for k in ['model_menu', 'interface_state']], shared.gradio['model_status'], show_progress=False)
 
     shared.gradio['lora_menu_apply'].click(load_lora_wrapper, shared.gradio['lora_menu'], shared.gradio['model_status'], show_progress=False)
     shared.gradio['download_model_button'].click(download_model_wrapper, shared.gradio['custom_model_menu'], shared.gradio['model_status'], show_progress=False)