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tofu_leaderboard

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pratyushmaini commited on Dec 5, 2023

Commit

fc4805a

•

1 Parent(s): 06649c3

testing

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Files changed (5) hide show

app.py +56 -125
app_old.py +128 -0
versions/{v1.0.csv → llama.csv} +0 -0
versions/phi.csv +32 -0
versions/stable-lm.csv +32 -0

app.py CHANGED Viewed

@@ -1,128 +1,59 @@
 import gradio as gr
-from src.assets.text_content import TITLE, INTRODUCTION_TEXT
-from src.utils import get_data, compare_plots, filter_search
-############################ For Leaderboards #############################
-DATA_PATH = 'versions'
-latest_flag = True #Set flag to iclude latest data in Details and Versions Tab
-latest_df, latest_vname, previous_df, previous_vname = get_data(DATA_PATH, latest_flag)
-global prev_df
-prev_df = previous_df[0]
-def select_prev_df(name):
-    ind = previous_vname.index(name)
-    prev_df = previous_df[ind]
-    return prev_df
-############################ For Plots ####################################
-global plot_df, MODEL_COLS
-plot_df = latest_df[0]
-MODEL_COLS = list(plot_df['Model'].unique())
-############# MAIN APPLICATION ######################
 demo = gr.Blocks()
-with demo:
-    gr.HTML(TITLE)
-    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
-    with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🥇 TOFU Leaderboard", elem_id="llm-benchmark-tab-table", id=0):
-            with gr.Row():
-                search_bar = gr.Textbox(
-                    placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
-                    show_label=False,
-                    elem_id="search-bar",
-                )
-            leaderboard_table = gr.components.Dataframe(
-                value=latest_df[0],
-                elem_id="leaderboard-table",
-                interactive=False,
-                visible=True,
-            )
-            # Add a dummy leaderboard to handle search queries from the latest_df and not update latest_df
-            dummy_leaderboard_table = gr.components.Dataframe(
-                value=latest_df[0],
-                elem_id="leaderboard-table",
-                interactive=False,
-                visible=False,
-            )
-            search_bar.submit(
-                filter_search,
-                [dummy_leaderboard_table, search_bar],
-                leaderboard_table,
-                queue=True
-            )
-        with gr.TabItem("📈 Plot", id=3):
-            with gr.Row():
-                model_cols = gr.CheckboxGroup(
-                    MODEL_COLS,
-                    label="Select Models 🤖",
-                    value=[],
-                    elem_id="column-select",
-                    interactive=True,
-                )
-            with gr.Row():
-                plot_grdf = gr.DataFrame(
-                    value=plot_df,
-                    visible=False
-                )
-            with gr.Row():
-                # Output block for the plot
-                plot_output = gr.Plot()
-            model_cols.change(
-                compare_plots,
-                [plot_grdf, model_cols],
-                plot_output,
-                queue=True
-            )
-        with gr.TabItem("🔄 Versions and Details", elem_id="details", id=2):
-            with gr.Row():
-                ver_selection = gr.Dropdown(
-                    previous_vname, label="Select Version 🕹️", value=previous_vname[0]
-                )
-            with gr.Row():
-                search_bar_prev = gr.Textbox(
-                    placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
-                    show_label=False,
-                    elem_id="search-bar-2",
-                )
-            prev_table = gr.components.Dataframe(
-                value=prev_df,
-                elem_id="leaderboard-table",
-                interactive=False,
-                visible=True,
-            )
-            dummy_prev_table = gr.components.Dataframe(
-                value=prev_df,
-                elem_id="leaderboard-table",
-                interactive=False,
-                visible=False,
-            )
-            search_bar_prev.submit(
-                filter_search,
-                [dummy_prev_table, search_bar_prev],
-                prev_table,
-                queue=True
-            )
-            ver_selection.change(
-                select_prev_df,
-                [ver_selection],
-                prev_table,
-                queue=True
-            )
-    demo.load()
-demo.queue()
-demo.launch()

 import gradio as gr
+import pandas as pd
+# Function to load data from a given CSV file
+def load_data(version):
+    file_path = f'versions/{version}.csv'  # Assuming filenames are version1.csv, version2.csv, version3.csv
+    return pd.read_csv(file_path)
+# Function for searching in the leaderboard
+def search_leaderboard(df, query):
+    if query == "":
+        return df
+    else:
+        return df[df['Method'].str.contains(query)]
+# Function to change the version of the leaderboard
+def change_version(version):
+    new_df = load_data(version)
+    return new_df
+# Initialize Gradio app
 demo = gr.Blocks()
+with demo:
+    gr.Markdown("## Radio Leaderboard")
+    with gr.Row():
+        version_dropdown = gr.Dropdown(
+            options=["llama", "phi", "stable-lm"],
+            label="Select Version",
+            value="llama",
+        )
+    with gr.Row():
+        search_bar = gr.Textbox(
+            placeholder="Search for methods...",
+            show_label=False,
+        )
+    leaderboard_table = gr.components.Dataframe(
+        value=load_data(1),  # Load initial version (version 1)
+        interactive=True,
+        visible=True,
+    )
+    version_dropdown.change(
+        change_version,
+        inputs=version_dropdown,
+        outputs=leaderboard_table
+    )
+    search_bar.change(
+        search_leaderboard,
+        inputs=[leaderboard_table, search_bar],
+        outputs=leaderboard_table
+    )
+# Launch the app
+demo.launch()

app_old.py ADDED Viewed

	@@ -0,0 +1,128 @@

+import gradio as gr
+from src.assets.text_content import TITLE, INTRODUCTION_TEXT
+from src.utils import get_data, compare_plots, filter_search
+############################ For Leaderboards #############################
+DATA_PATH = 'versions'
+latest_flag = True #Set flag to iclude latest data inz Details and Versions Tab
+latest_df, latest_vname, previous_df, previous_vname = get_data(DATA_PATH, latest_flag)
+global prev_df
+prev_df = previous_df[0]
+def select_prev_df(name):
+    ind = previous_vname.index(name)
+    prev_df = previous_df[ind]
+    return prev_df
+############################ For Plots ####################################
+global plot_df, MODEL_COLS
+plot_df = latest_df[0]
+MODEL_COLS = list(plot_df['Model'].unique())
+############# MAIN APPLICATION ######################
+demo = gr.Blocks()
+with demo:
+    gr.HTML(TITLE)
+    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
+    with gr.Tabs(elem_classes="tab-buttons") as tabs:
+        with gr.TabItem("🥇 TOFU Leaderboard", elem_id="llm-benchmark-tab-table", id=0):
+            with gr.Row():
+                search_bar = gr.Textbox(
+                    placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
+                    show_label=False,
+                    elem_id="search-bar",
+                )
+            leaderboard_table = gr.components.Dataframe(
+                value=latest_df[0],
+                elem_id="leaderboard-table",
+                interactive=False,
+                visible=True,
+            )
+            # Add a dummy leaderboard to handle search queries from the latest_df and not update latest_df
+            dummy_leaderboard_table = gr.components.Dataframe(
+                value=latest_df[0],
+                elem_id="leaderboard-table",
+                interactive=False,
+                visible=False,
+            )
+            search_bar.submit(
+                filter_search,
+                [dummy_leaderboard_table, search_bar],
+                leaderboard_table,
+                queue=True
+            )
+        with gr.TabItem("📈 Plot", id=3):
+            with gr.Row():
+                model_cols = gr.CheckboxGroup(
+                    MODEL_COLS,
+                    label="Select Models 🤖",
+                    value=[],
+                    elem_id="column-select",
+                    interactive=True,
+                )
+            with gr.Row():
+                plot_grdf = gr.DataFrame(
+                    value=plot_df,
+                    visible=False
+                )
+            with gr.Row():
+                # Output block for the plot
+                plot_output = gr.Plot()
+            model_cols.change(
+                compare_plots,
+                [plot_grdf, model_cols],
+                plot_output,
+                queue=True
+            )
+        with gr.TabItem("🔄 Versions and Details", elem_id="details", id=2):
+            with gr.Row():
+                ver_selection = gr.Dropdown(
+                    previous_vname, label="Select Version 🕹️", value=previous_vname[0]
+                )
+            with gr.Row():
+                search_bar_prev = gr.Textbox(
+                    placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...",
+                    show_label=False,
+                    elem_id="search-bar-2",
+                )
+            prev_table = gr.components.Dataframe(
+                value=prev_df,
+                elem_id="leaderboard-table",
+                interactive=False,
+                visible=True,
+            )
+            dummy_prev_table = gr.components.Dataframe(
+                value=prev_df,
+                elem_id="leaderboard-table",
+                interactive=False,
+                visible=False,
+            )
+            search_bar_prev.submit(
+                filter_search,
+                [dummy_prev_table, search_bar_prev],
+                prev_table,
+                queue=True
+            )
+            ver_selection.change(
+                select_prev_df,
+                [ver_selection],
+                prev_table,
+                queue=True
+            )
+    demo.load()
+demo.queue()
+demo.launch()

versions/{v1.0.csv → llama.csv} RENAMED Viewed

File without changes

versions/phi.csv ADDED Viewed

	@@ -0,0 +1,32 @@

+,-,all,all,imagegame,imagegame,imagegame,privateshared,privateshared,privateshared,referencegame,referencegame,referencegame,taboo,taboo,taboo,wordle,wordle,wordle,wordle_withclue,wordle_withclue,wordle_withclue,wordle_withcritic,wordle_withcritic,wordle_withcritic
+,clemscore,Average % Played,Average Quality Score,% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std)
+model,,,,,,,,,,,,,,,,,,,,,,,,
+CodeLlama-34b-Instruct-hf-t0.0--CodeLlama-34b-Instruct-hf-t0.0,10.34,23.96,43.15,7.5,37.67,36.83,0.0,,,15.0,83.33,40.82,74.58,29.55,44.87,53.33,0.0,0.0,13.33,8.33,16.66,4.0,100.0,
+Mistral-7B-Instruct-v0.1-t0.0--Mistral-7B-Instruct-v0.1-t0.0,2.72,17.5,15.56,,,,20.0,0.0,0.0,,,,50.85,46.67,49.01,0.0,,,16.67,0.0,0.0,0.0,,
+Wizard-Vicuna-13B-Uncensored-HF-t0.0--Wizard-Vicuna-13B-Uncensored-HF-t0.0,2.06,9.49,21.71,0.0,,,0.0,,,7.5,66.67,57.74,22.03,30.77,48.04,3.33,0.0,,30.0,11.11,33.33,3.57,0.0,
+WizardLM-13b-v1.2-t0.0--WizardLM-13b-v1.2-t0.0,7.82,40.49,19.31,0.0,,,26.0,21.37,20.34,100.0,35.0,48.3,47.46,51.79,48.08,33.33,0.0,0.0,43.33,7.69,27.74,33.33,0.0,0.0
+WizardLM-70b-v1.0-t0.0--WizardLM-70b-v1.0-t0.0,16.7,51.65,32.34,0.0,,,24.0,62.3,19.84,100.0,32.5,47.43,62.71,67.57,47.46,60.0,0.0,0.0,70.0,21.43,40.53,44.83,10.26,28.49
+claude-2-t0.0--claude-2-t0.0,33.71,82.12,41.05,0.0,,,100.0,75.89,18.57,100.0,45.0,50.38,91.53,73.15,39.71,100.0,0.0,0.0,90.0,21.6,36.56,93.33,30.65,43.22
+claude-2.1-t0.0--claude-2.1-t0.0,36.38,83.08,43.79,0.0,,,100.0,73.01,23.8,100.0,55.0,50.38,94.92,69.35,41.41,100.0,0.67,3.65,93.33,29.29,40.95,93.33,35.42,41.74
+claude-instant-1.2-t0.0--claude-instant-1.2-t0.0,15.44,59.61,25.91,0.0,,,96.0,34.37,30.79,0.0,,,77.97,60.51,44.77,100.0,0.0,0.0,90.0,18.52,37.08,53.33,16.15,28.94
+claude-v1.3-t0.0--claude-v1.3-t0.0,37.64,74.24,50.7,0.0,,,100.0,84.99,18.63,100.0,85.0,36.16,79.66,72.34,37.31,96.67,0.0,0.0,100.0,31.11,39.81,43.33,30.77,48.04
+command-t0.0--command-t0.0,3.12,10.01,31.13,0.0,,,0.0,,,2.5,0.0,,47.46,17.86,39.0,0.0,,,16.67,6.67,14.91,3.45,100.0,
+falcon-7b-instruct-t0.0--falcon-7b-instruct-t0.0,0.0,14.29,0.0,0.0,,,0.0,,,0.0,,,0.0,,,100.0,0.0,0.0,0.0,,,0.0,,
+gpt-3.5-turbo-0613-t0.0--gpt-3.5-turbo-0613-t0.0,32.53,91.96,35.37,97.5,62.49,30.09,91.84,21.17,25.65,100.0,55.0,50.38,64.41,63.16,47.48,100.0,0.0,0.0,100.0,21.38,38.8,90.0,24.38,35.8
+gpt-3.5-turbo-1106-t0.0--gpt-3.5-turbo-1106-t0.0,30.45,77.12,39.49,40.0,51.25,34.69,46.94,27.41,33.38,100.0,52.5,50.57,72.88,76.74,39.86,100.0,0.0,0.0,86.67,30.9,44.36,93.33,37.62,45.9
+gpt-4-0314-t0.0--gpt-4-0314-t0.0,58.81,93.79,62.7,65.0,88.92,16.24,100.0,91.12,7.48,100.0,77.5,42.29,91.53,79.63,32.48,100.0,2.78,7.37,100.0,50.78,41.69,100.0,48.17,41.42
+gpt-4-0613-t0.0--gpt-4-0613-t0.0,60.9,97.22,62.64,97.5,97.28,10.38,100.0,97.34,5.02,100.0,80.0,40.51,83.05,81.97,29.03,100.0,4.25,8.62,100.0,46.11,41.85,100.0,31.5,38.1
+gpt-4-1106-preview-t0.0--gpt-4-1106-preview-t0.0,60.33,97.95,61.59,97.5,94.15,14.85,100.0,83.25,12.51,100.0,90.0,30.38,88.14,83.97,29.88,100.0,7.5,13.01,100.0,49.11,42.93,100.0,23.17,37.74
+gpt4all-13b-snoozy-t0.0--gpt4all-13b-snoozy-t0.0,0.0,2.92,0.0,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,13.33,0.0,0.0,7.14,0.0,0.0
+koala-13B-HF-t0.0--koala-13B-HF-t0.0,1.25,23.22,5.38,0.0,,,0.0,,,0.0,,,52.54,16.13,37.39,100.0,0.0,0.0,10.0,0.0,0.0,0.0,,
+llama-2-13b-chat-hf-t0.0--llama-2-13b-chat-hf-t0.0,1.89,3.43,55.09,0.0,,,24.0,55.09,33.68,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,
+llama-2-70b-chat-hf-t0.0--llama-2-70b-chat-hf-t0.0,1.39,3.79,36.74,0.0,,,14.0,13.48,11.98,12.5,60.0,54.77,0.0,,,0.0,,,0.0,,,0.0,,
+llama-2-7b-chat-hf-t0.0--llama-2-7b-chat-hf-t0.0,0.24,6.05,4.0,0.0,,,0.0,,,0.0,,,42.37,4.0,20.0,0.0,,,0.0,,,0.0,,
+oasst-sft-4-pythia-12b-epoch-3.5-t0.0--oasst-sft-4-pythia-12b-epoch-3.5-t0.0,0.0,14.76,0.0,0.0,,,0.0,,,0.0,,,0.0,,,100.0,0.0,0.0,3.33,0.0,,0.0,,
+sheep-duck-llama-2-13b-t0.0--sheep-duck-llama-2-13b-t0.0,6.74,34.86,19.34,0.0,,,0.0,,,97.5,33.33,47.76,89.83,0.0,0.0,0.0,,,23.33,19.05,37.8,33.33,25.0,42.49
+sheep-duck-llama-2-70b-v1.1-t0.0--sheep-duck-llama-2-70b-v1.1-t0.0,17.12,40.82,41.93,40.0,23.19,28.06,0.0,,,35.0,57.14,51.36,59.32,74.29,44.34,34.78,0.0,0.0,63.33,43.86,43.82,53.33,53.12,49.9
+vicuna-13b-v1.5-t0.0--vicuna-13b-v1.5-t0.0,7.21,34.74,20.74,0.0,,,24.0,0.0,0.0,80.0,28.12,45.68,49.15,37.93,49.38,26.67,0.0,0.0,36.67,30.3,45.84,26.67,28.12,45.19
+vicuna-33b-v1.3-t0.0--vicuna-33b-v1.3-t0.0,9.15,17.47,52.36,15.0,23.67,24.34,40.0,34.58,26.47,0.0,,,37.29,50.0,51.18,0.0,,,23.33,53.57,46.61,6.67,100.0,0.0
+vicuna-7b-v1.5-t0.0--vicuna-7b-v1.5-t0.0,3.46,12.86,26.91,0.0,,,4.0,0.0,0.0,0.0,,,62.71,24.32,43.5,0.0,,,13.33,50.0,57.74,10.0,33.33,57.74
+zephyr-7b-alpha-t0.0--zephyr-7b-alpha-t0.0,0.75,7.51,10.0,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,33.33,20.0,42.16,19.23,0.0,0.0
+zephyr-7b-beta-t0.0--zephyr-7b-beta-t0.0,1.23,3.95,31.25,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,13.33,25.0,50.0,14.29,37.5,47.87

versions/stable-lm.csv ADDED Viewed

	@@ -0,0 +1,32 @@

+,-,all,all,imagegame,imagegame,imagegame,privateshared,privateshared,privateshared,referencegame,referencegame,referencegame,taboo,taboo,taboo,wordle,wordle,wordle,wordle_withclue,wordle_withclue,wordle_withclue,wordle_withcritic,wordle_withcritic,wordle_withcritic
+,clemscore,Average % Played,Average Quality Score,% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std),% Played,Quality Score,Quality Score (std)
+model,,,,,,,,,,,,,,,,,,,,,,,,
+CodeLlama-34b-Instruct-hf-t0.0--CodeLlama-34b-Instruct-hf-t0.0,10.34,23.96,43.15,7.5,37.67,36.83,0.0,,,15.0,83.33,40.82,74.58,29.55,44.87,53.33,0.0,0.0,13.33,8.33,16.66,4.0,100.0,
+Mistral-7B-Instruct-v0.1-t0.0--Mistral-7B-Instruct-v0.1-t0.0,2.72,17.5,15.56,,,,20.0,0.0,0.0,,,,50.85,46.67,49.01,0.0,,,16.67,0.0,0.0,0.0,,
+Wizard-Vicuna-13B-Uncensored-HF-t0.0--Wizard-Vicuna-13B-Uncensored-HF-t0.0,2.06,9.49,21.71,0.0,,,0.0,,,7.5,66.67,57.74,22.03,30.77,48.04,3.33,0.0,,30.0,11.11,33.33,3.57,0.0,
+WizardLM-13b-v1.2-t0.0--WizardLM-13b-v1.2-t0.0,7.82,40.49,19.31,0.0,,,26.0,21.37,20.34,100.0,35.0,48.3,47.46,51.79,48.08,33.33,0.0,0.0,43.33,7.69,27.74,33.33,0.0,0.0
+WizardLM-70b-v1.0-t0.0--WizardLM-70b-v1.0-t0.0,16.7,51.65,32.34,0.0,,,24.0,62.3,19.84,100.0,32.5,47.43,62.71,67.57,47.46,60.0,0.0,0.0,70.0,21.43,40.53,44.83,10.26,28.49
+claude-2-t0.0--claude-2-t0.0,33.71,82.12,41.05,0.0,,,100.0,75.89,18.57,100.0,45.0,50.38,91.53,73.15,39.71,100.0,0.0,0.0,90.0,21.6,36.56,93.33,30.65,43.22
+claude-2.1-t0.0--claude-2.1-t0.0,36.38,83.08,43.79,0.0,,,100.0,73.01,23.8,100.0,55.0,50.38,94.92,69.35,41.41,100.0,0.67,3.65,93.33,29.29,40.95,93.33,35.42,41.74
+claude-instant-1.2-t0.0--claude-instant-1.2-t0.0,15.44,59.61,25.91,0.0,,,96.0,34.37,30.79,0.0,,,77.97,60.51,44.77,100.0,0.0,0.0,90.0,18.52,37.08,53.33,16.15,28.94
+claude-v1.3-t0.0--claude-v1.3-t0.0,37.64,74.24,50.7,0.0,,,100.0,84.99,18.63,100.0,85.0,36.16,79.66,72.34,37.31,96.67,0.0,0.0,100.0,31.11,39.81,43.33,30.77,48.04
+command-t0.0--command-t0.0,3.12,10.01,31.13,0.0,,,0.0,,,2.5,0.0,,47.46,17.86,39.0,0.0,,,16.67,6.67,14.91,3.45,100.0,
+falcon-7b-instruct-t0.0--falcon-7b-instruct-t0.0,0.0,14.29,0.0,0.0,,,0.0,,,0.0,,,0.0,,,100.0,0.0,0.0,0.0,,,0.0,,
+gpt-3.5-turbo-0613-t0.0--gpt-3.5-turbo-0613-t0.0,32.53,91.96,35.37,97.5,62.49,30.09,91.84,21.17,25.65,100.0,55.0,50.38,64.41,63.16,47.48,100.0,0.0,0.0,100.0,21.38,38.8,90.0,24.38,35.8
+gpt-3.5-turbo-1106-t0.0--gpt-3.5-turbo-1106-t0.0,30.45,77.12,39.49,40.0,51.25,34.69,46.94,27.41,33.38,100.0,52.5,50.57,72.88,76.74,39.86,100.0,0.0,0.0,86.67,30.9,44.36,93.33,37.62,45.9
+gpt-4-0314-t0.0--gpt-4-0314-t0.0,58.81,93.79,62.7,65.0,88.92,16.24,100.0,91.12,7.48,100.0,77.5,42.29,91.53,79.63,32.48,100.0,2.78,7.37,100.0,50.78,41.69,100.0,48.17,41.42
+gpt-4-0613-t0.0--gpt-4-0613-t0.0,60.9,97.22,62.64,97.5,97.28,10.38,100.0,97.34,5.02,100.0,80.0,40.51,83.05,81.97,29.03,100.0,4.25,8.62,100.0,46.11,41.85,100.0,31.5,38.1
+gpt-4-1106-preview-t0.0--gpt-4-1106-preview-t0.0,60.33,97.95,61.59,97.5,94.15,14.85,100.0,83.25,12.51,100.0,90.0,30.38,88.14,83.97,29.88,100.0,7.5,13.01,100.0,49.11,42.93,100.0,23.17,37.74
+gpt4all-13b-snoozy-t0.0--gpt4all-13b-snoozy-t0.0,0.0,2.92,0.0,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,13.33,0.0,0.0,7.14,0.0,0.0
+koala-13B-HF-t0.0--koala-13B-HF-t0.0,1.25,23.22,5.38,0.0,,,0.0,,,0.0,,,52.54,16.13,37.39,100.0,0.0,0.0,10.0,0.0,0.0,0.0,,
+llama-2-13b-chat-hf-t0.0--llama-2-13b-chat-hf-t0.0,1.89,3.43,55.09,0.0,,,24.0,55.09,33.68,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,
+llama-2-70b-chat-hf-t0.0--llama-2-70b-chat-hf-t0.0,1.39,3.79,36.74,0.0,,,14.0,13.48,11.98,12.5,60.0,54.77,0.0,,,0.0,,,0.0,,,0.0,,
+llama-2-7b-chat-hf-t0.0--llama-2-7b-chat-hf-t0.0,0.24,6.05,4.0,0.0,,,0.0,,,0.0,,,42.37,4.0,20.0,0.0,,,0.0,,,0.0,,
+oasst-sft-4-pythia-12b-epoch-3.5-t0.0--oasst-sft-4-pythia-12b-epoch-3.5-t0.0,0.0,14.76,0.0,0.0,,,0.0,,,0.0,,,0.0,,,100.0,0.0,0.0,3.33,0.0,,0.0,,
+sheep-duck-llama-2-13b-t0.0--sheep-duck-llama-2-13b-t0.0,6.74,34.86,19.34,0.0,,,0.0,,,97.5,33.33,47.76,89.83,0.0,0.0,0.0,,,23.33,19.05,37.8,33.33,25.0,42.49
+sheep-duck-llama-2-70b-v1.1-t0.0--sheep-duck-llama-2-70b-v1.1-t0.0,17.12,40.82,41.93,40.0,23.19,28.06,0.0,,,35.0,57.14,51.36,59.32,74.29,44.34,34.78,0.0,0.0,63.33,43.86,43.82,53.33,53.12,49.9
+vicuna-13b-v1.5-t0.0--vicuna-13b-v1.5-t0.0,7.21,34.74,20.74,0.0,,,24.0,0.0,0.0,80.0,28.12,45.68,49.15,37.93,49.38,26.67,0.0,0.0,36.67,30.3,45.84,26.67,28.12,45.19
+vicuna-33b-v1.3-t0.0--vicuna-33b-v1.3-t0.0,9.15,17.47,52.36,15.0,23.67,24.34,40.0,34.58,26.47,0.0,,,37.29,50.0,51.18,0.0,,,23.33,53.57,46.61,6.67,100.0,0.0
+vicuna-7b-v1.5-t0.0--vicuna-7b-v1.5-t0.0,3.46,12.86,26.91,0.0,,,4.0,0.0,0.0,0.0,,,62.71,24.32,43.5,0.0,,,13.33,50.0,57.74,10.0,33.33,57.74
+zephyr-7b-alpha-t0.0--zephyr-7b-alpha-t0.0,0.75,7.51,10.0,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,33.33,20.0,42.16,19.23,0.0,0.0
+zephyr-7b-beta-t0.0--zephyr-7b-beta-t0.0,1.23,3.95,31.25,0.0,,,0.0,,,0.0,,,0.0,,,0.0,,,13.33,25.0,50.0,14.29,37.5,47.87