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piotr-szleg-bards-ai commited on
Commit
96a59f8
·
1 Parent(s): da3a772

2024-02-06 15:37:17 Publish script update

Browse files
Files changed (3) hide show
  1. app.py +1 -1
  2. data/2024-02-06 15:35:24.490454_general_plot.csv +452 -0
  3. pipeline/models.py +2 -0
app.py CHANGED
@@ -48,7 +48,7 @@ output_types_df = pd.DataFrame({
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  summary_df: pd.DataFrame = pd.read_csv("data/2024-02-05 23:33:22.947120_summary.csv")
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  time_of_day_comparison_df = pd.read_csv("data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv")
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- general_plots = pd.read_csv("data/2024-02-06 13:51:35.085414_general_plot.csv")
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  model_costs_df = pd.read_csv("data/2024-02-05 12:03:45.281624_model_costs.csv")
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48
 
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  summary_df: pd.DataFrame = pd.read_csv("data/2024-02-05 23:33:22.947120_summary.csv")
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  time_of_day_comparison_df = pd.read_csv("data/2024-02-06 09:49:19.637072_time_of_day_comparison.csv")
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+ general_plots = pd.read_csv("data/2024-02-06 15:35:24.490454_general_plot.csv")
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  model_costs_df = pd.read_csv("data/2024-02-05 12:03:45.281624_model_costs.csv")
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data/2024-02-06 15:35:24.490454_general_plot.csv ADDED
@@ -0,0 +1,452 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ path,plot_object,header,description,plot_json
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+ ./html/plots/response_times.html,"Figure({
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+ 'data': [{'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
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+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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+ 'name': 'Mistral-7B-Instruct-v0.2',
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+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([3.27102681]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
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+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
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+ 'name': 'Mixtral-8x7B-Instruct-v0.1',
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+ 'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([4.83500647]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
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+ 'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([1.79273835]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison',
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+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison',
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+ 'offsetgroup': 'chat-bison',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['chat-bison'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([3.89024363]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison (PaLM 2)',
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+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison (PaLM 2)',
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+ 'offsetgroup': 'chat-bison (PaLM 2)',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['chat-bison (PaLM 2)'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([2.66830386]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison-32k',
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+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison-32k',
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+ 'offsetgroup': 'chat-bison-32k',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['chat-bison-32k'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([4.12817777]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison-32k (PaLM 2 32K)',
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+ 'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([6.73886213]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'gemini-pro',
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+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
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+ 'name': 'gemini-pro',
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+ 'offsetgroup': 'gemini-pro',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gemini-pro'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([3.03678889]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'gpt-3.5-turbo',
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+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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+ 'name': 'gpt-3.5-turbo',
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+ 'offsetgroup': 'gpt-3.5-turbo',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gpt-3.5-turbo'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([4.29307391]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'gpt-4',
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+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
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+ 'name': 'gpt-4',
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+ 'offsetgroup': 'gpt-4',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gpt-4'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([14.32373439]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'gpt-4-turbo',
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+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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+ 'name': 'gpt-4-turbo',
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+ 'offsetgroup': 'gpt-4-turbo',
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+ 'orientation': 'v',
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+ 'showlegend': True,
151
+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gpt-4-turbo'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([15.5354884]),
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+ 'yaxis': 'y'},
157
+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'llama-2-70b-chat',
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+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
161
+ 'name': 'llama-2-70b-chat',
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+ 'offsetgroup': 'llama-2-70b-chat',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['llama-2-70b-chat'], dtype=object),
168
+ 'xaxis': 'x',
169
+ 'y': array([3.6742315]),
170
+ 'yaxis': 'y'},
171
+ {'alignmentgroup': 'True',
172
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'zephyr-7b-beta',
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+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
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+ 'name': 'zephyr-7b-beta',
176
+ 'offsetgroup': 'zephyr-7b-beta',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['zephyr-7b-beta'], dtype=object),
182
+ 'xaxis': 'x',
183
+ 'y': array([3.6370095]),
184
+ 'yaxis': 'y'}],
185
+ 'layout': {'barmode': 'relative',
186
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
187
+ 'template': '...',
188
+ 'title': {'text': 'Model endpoints response times'},
189
+ 'xaxis': {'anchor': 'y',
190
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
191
+ Mixtral-8x7B-Instruct-v0.1,
192
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
193
+ chat-bison, chat-bison (PaLM 2), chat-
194
+ bison-32k, chat-bison-32k (PaLM 2 32K),
195
+ gemini-pro, gpt-3.5-turbo, gpt-4,
196
+ gpt-4-turbo, llama-2-70b-chat,
197
+ zephyr-7b-beta],
198
+ 'categoryorder': 'array',
199
+ 'domain': [0.0, 1.0],
200
+ 'title': {'text': 'Model'}},
201
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
202
+ })",Model endpoints response times,"This plot shows averaged response time for one query for each model.
203
+
204
+ We used `time.time()` result saved to variable before making the call to API and compared it to `time.time()` result after receiving the results.
205
+
206
+ It is also important to note that we used litellm python library for all of the models which adds some overhead compared to pure curl calls.","{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""Mistral-7B-Instruct-v0.2"",""marker"":{""color"":""#636efa"",""pattern"":{""shape"":""""}},""name"":""Mistral-7B-Instruct-v0.2"",""offsetgroup"":""Mistral-7B-Instruct-v0.2"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""Mistral-7B-Instruct-v0.2""],""xaxis"":""x"",""y"":[3.271026806036631],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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+
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pipeline/models.py CHANGED
@@ -146,6 +146,8 @@ MODELS = [
146
  ),
147
  ]
148
 
 
149
  MODELS = [model for model in MODELS
150
  if model.model_name=="together_ai/mistralai/Mixtral-8x7B-Instruct-v0.1"
151
  or model.model_name=="huggingface/HuggingFaceH4/zephyr-7b-beta"]
 
 
146
  ),
147
  ]
148
 
149
+ """
150
  MODELS = [model for model in MODELS
151
  if model.model_name=="together_ai/mistralai/Mixtral-8x7B-Instruct-v0.1"
152
  or model.model_name=="huggingface/HuggingFaceH4/zephyr-7b-beta"]
153
+ """