add "none" optimizations

app.py

@@ -69,9 +69,7 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
     ].apply(
         lambda x: "BetterTransformer"
         if x[0] == True
-        else (
-            "LLM.int8" if x[1] == True else ("NF4" if x[2] == True else "")
-        ),
+        else ("LLM.int8" if x[1] == True else ("NF4" if x[2] == True else "None")),
         axis=1,
     )
 
@@ -204,6 +202,12 @@ with demo:
             info="🔍 Search for a model name",
             elem_id="search-bar",
         )
+        score_slider = gr.Slider(
+            label="Average Open LLM Score 📈",
+            info="🎚️ Slide to minimum Average Open LLM score",
+            value=0.0,
+            elem_id="threshold-slider",
+        )
 
     with gr.Row():
         backend_checkboxes = gr.CheckboxGroup(
@@ -222,20 +226,12 @@ with demo:
         )
         optimizations_checkboxes = gr.CheckboxGroup(
             label="Optimizations 🛠️",
-            choices=["BetterTransformer", "LLM.int8", "NF4"],
+            choices=["None", "BetterTransformer", "LLM.int8", "NF4"],
             value=[],
             info="☑️ Select the optimizations",
             elem_id="optimizations-checkboxes",
         )
 
-    with gr.Row():
-        score_slider = gr.Slider(
-            label="Average Open LLM Score 📈",
-            info="🎚️ Slide to minimum Average Open LLM score",
-            value=0.0,
-            elem_id="threshold-slider",
-        )
-
     with gr.Row():
         filter_button = gr.Button(
             value="Filter 🚀",