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piotr-szleg-bards-ai commited on
Commit
1a7567e
•
1 Parent(s): 46c6a41

2024-01-26 15:19:42 Publish script update

Browse files
Files changed (9) hide show
  1. app.py +1 -1
  2. data/2024-01-26 11:01:41.169428_general_plot.csv +398 -0
  3. data/2024-01-26 11:04:35.555342_general_plot.csv +398 -0
  4. data/2024-01-26 11:06:20.415218_general_plot.csv +398 -0
  5. data/2024-01-26 11:19:58.683853_general_plot.csv +398 -0
  6. data/2024-01-26 11:20:49.179382_general_plot.csv +398 -0
  7. data/2024-01-26 11:22:32.771167_general_plot.csv +398 -0
  8. pipeline/config.py +3 -3
  9. pipeline/models.py +2 -2
app.py CHANGED
@@ -22,7 +22,7 @@ Models are asked to summarize a text in different languages and using different
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  summary_df: pd.DataFrame = pd.read_csv("data/2024-01-25 13:30:17.207984_summary.csv")
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  time_of_day_comparison_df = pd.read_csv("data/2024-01-25 13:30:20.959750_time_of_day_comparison.csv")
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- general_plots = pd.read_csv("data/2024-01-25 12:22:00.759762_general_plot.csv")
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  with open("data/time_of_day_plot.json", "r") as f:
 
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  summary_df: pd.DataFrame = pd.read_csv("data/2024-01-25 13:30:17.207984_summary.csv")
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  time_of_day_comparison_df = pd.read_csv("data/2024-01-25 13:30:20.959750_time_of_day_comparison.csv")
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+ general_plots = pd.read_csv("data/2024-01-26 11:22:32.771167_general_plot.csv")
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  with open("data/time_of_day_plot.json", "r") as f:
data/2024-01-26 11:01:41.169428_general_plot.csv ADDED
@@ -0,0 +1,398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ path,plot_object,description,comment,plot_json
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+ ./html/plots/response_times.html,"Figure({
3
+ 'data': [{'alignmentgroup': 'True',
4
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
5
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
6
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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+ 'name': 'Mistral-7B-Instruct-v0.2',
8
+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
9
+ 'orientation': 'v',
10
+ 'showlegend': True,
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+ 'textposition': 'auto',
12
+ 'type': 'bar',
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+ 'x': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
14
+ 'xaxis': 'x',
15
+ 'y': array([3.17454003]),
16
+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
18
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
19
+ 'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
20
+ '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([7.14219763]),
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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([1.29026454]),
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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-32k',
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+ 'marker': {'color': '#FFA15A', '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',
74
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
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+ 'legendgroup': 'gemini-pro',
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+ 'marker': {'color': '#19d3f3', '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),
84
+ 'xaxis': 'x',
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+ 'y': array([4.72138064]),
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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': '#FF6692', 'pattern': {'shape': ''}},
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+ 'name': 'gpt-3.5-turbo',
92
+ 'offsetgroup': 'gpt-3.5-turbo',
93
+ 'orientation': 'v',
94
+ 'showlegend': True,
95
+ 'textposition': 'auto',
96
+ 'type': 'bar',
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+ 'x': array(['gpt-3.5-turbo'], dtype=object),
98
+ 'xaxis': 'x',
99
+ 'y': array([5.28237349]),
100
+ 'yaxis': 'y'},
101
+ {'alignmentgroup': 'True',
102
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
103
+ 'legendgroup': 'gpt-4',
104
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
105
+ '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',
111
+ 'x': array(['gpt-4'], dtype=object),
112
+ 'xaxis': 'x',
113
+ 'y': array([15.52184566]),
114
+ 'yaxis': 'y'},
115
+ {'alignmentgroup': 'True',
116
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
117
+ 'legendgroup': 'gpt-4-turbo',
118
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
119
+ 'name': 'gpt-4-turbo',
120
+ 'offsetgroup': 'gpt-4-turbo',
121
+ 'orientation': 'v',
122
+ 'showlegend': True,
123
+ 'textposition': 'auto',
124
+ 'type': 'bar',
125
+ 'x': array(['gpt-4-turbo'], dtype=object),
126
+ 'xaxis': 'x',
127
+ 'y': array([14.00852903]),
128
+ 'yaxis': 'y'},
129
+ {'alignmentgroup': 'True',
130
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
131
+ 'legendgroup': 'llama-2-70b-chat',
132
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
133
+ 'name': 'llama-2-70b-chat',
134
+ 'offsetgroup': 'llama-2-70b-chat',
135
+ 'orientation': 'v',
136
+ 'showlegend': True,
137
+ 'textposition': 'auto',
138
+ 'type': 'bar',
139
+ 'x': array(['llama-2-70b-chat'], dtype=object),
140
+ 'xaxis': 'x',
141
+ 'y': array([6.0658799]),
142
+ 'yaxis': 'y'},
143
+ {'alignmentgroup': 'True',
144
+ 'hovertemplate': 'Model=%{x}<br>Execution time (s)=%{y}<extra></extra>',
145
+ 'legendgroup': 'zephyr-7b-beta',
146
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
147
+ 'name': 'zephyr-7b-beta',
148
+ 'offsetgroup': 'zephyr-7b-beta',
149
+ 'orientation': 'v',
150
+ 'showlegend': True,
151
+ 'textposition': 'auto',
152
+ 'type': 'bar',
153
+ 'x': array(['zephyr-7b-beta'], dtype=object),
154
+ 'xaxis': 'x',
155
+ 'y': array([3.23879932]),
156
+ 'yaxis': 'y'}],
157
+ 'layout': {'barmode': 'relative',
158
+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
159
+ 'template': '...',
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+ 'title': {'text': 'Model endpoints response times'},
161
+ 'xaxis': {'anchor': 'y',
162
+ 'categoryarray': [Mistral-7B-Instruct-v0.2,
163
+ Mixtral-8x7B-Instruct-v0.1,
164
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
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+ chat-bison, chat-bison-32k, gemini-pro,
166
+ gpt-3.5-turbo, gpt-4, gpt-4-turbo,
167
+ llama-2-70b-chat, zephyr-7b-beta],
168
+ 'categoryorder': 'array',
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+ 'domain': [0.0, 1.0],
170
+ 'title': {'text': 'Model'}},
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+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution time (s)'}}}
172
+ })",Model endpoints response times,,"{""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"":[3.174540030956268],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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(s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""TinyLlama\u002fTinyLlama-1.1B-Chat-v1.0"",""marker"":{""color"":""#00cc96"",""pattern"":{""shape"":""""}},""name"":""TinyLlama\u002fTinyLlama-1.1B-Chat-v1.0"",""offsetgroup"":""TinyLlama\u002fTinyLlama-1.1B-Chat-v1.0"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""TinyLlama\u002fTinyLlama-1.1B-Chat-v1.0""],""xaxis"":""x"",""y"":[1.2902645373344421],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'x': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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+ 'name': 'gemini-pro',
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+ 'offsetgroup': 'gemini-pro',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gemini-pro'], dtype=object),
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+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
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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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+ 'y': array([0.]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison-32k (PaLM 2 32K)',
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+ 'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'orientation': 'v',
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+ 'textposition': 'auto',
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+ 'x': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
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+ 'layout': {'barmode': 'relative',
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+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
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+ 'template': '...',
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+ 'title': {'text': 'Costs of execution of 39 test queries per model'},
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+ 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}},
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+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution cost ($)'}}}
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'x': array(['llama-2-70b-chat'], dtype=object),
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'x': array(['zephyr-7b-beta'], dtype=object),
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+ 'xaxis': 'x',
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+ 'y': array([0.]),
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'textposition': 'auto',
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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([0.]),
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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+ 'name': 'gemini-pro',
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+ 'offsetgroup': 'gemini-pro',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'type': 'bar',
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+ 'x': array(['gemini-pro'], dtype=object),
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+ 'xaxis': 'x',
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison (PaLM 2)',
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+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
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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([0.]),
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+ 'yaxis': 'y'},
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+ {'alignmentgroup': 'True',
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+ 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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+ 'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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+ 'name': 'chat-bison-32k (PaLM 2 32K)',
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+ 'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
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+ 'orientation': 'v',
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+ 'showlegend': True,
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+ 'textposition': 'auto',
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+ 'x': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
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+ 'xaxis': 'x',
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+ 'layout': {'barmode': 'relative',
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+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
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+ 'template': '...',
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+ 'title': {'text': 'Costs of execution of 39 test queries per model'},
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+ 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}},
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+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution cost ($)'}}}
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+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
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+ 'offsetgroup': 'Mistral-7B-Instruct-v0.2',
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+ 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
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+ 'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
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+ 'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
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+ 'orientation': 'v',
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+ 'layout': {'barmode': 'relative',
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+ 'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
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+ 'template': '...',
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+ 'title': {'text': 'Model sizes in billions of parameters'},
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pipeline/config.py CHANGED
@@ -55,9 +55,9 @@ class TimeOfDayComparisonConfig(Config):
55
  class GeneralPlotConfig(Config):
56
  plots_dir: str = "./html/plots/"
57
  saving_path: str = "data/"
58
- endpoint_startup_time_minutes: int = 2
59
- endpoint_cleanup_time_minutes: int = 2
 
60
  seconds_per_token: float = 184 / 6
61
  input_size: int = 100
62
  expected_output_size: int = 50
63
- queries: int = 1000
 
55
  class GeneralPlotConfig(Config):
56
  plots_dir: str = "./html/plots/"
57
  saving_path: str = "data/"
58
+ # turned out cleanup/startup time for now
59
+ endpoint_startup_time_minutes: int = 0
60
+ endpoint_cleanup_time_minutes: int = 0
61
  seconds_per_token: float = 184 / 6
62
  input_size: int = 100
63
  expected_output_size: int = 50
 
pipeline/models.py CHANGED
@@ -123,7 +123,7 @@ MODELS = [
123
  cost_per_million_output_tokens=0.5,
124
  ),
125
  Model(
126
- "chat-bison",
127
  "chat-bison",
128
  None,
129
  "Google VertexAI",
@@ -132,7 +132,7 @@ MODELS = [
132
  cost_per_million_output_tokens=0.5,
133
  ),
134
  Model(
135
- "chat-bison-32k",
136
  "chat-bison-32k",
137
  None,
138
  "Google VertexAI",
 
123
  cost_per_million_output_tokens=0.5,
124
  ),
125
  Model(
126
+ "chat-bison (PaLM 2)",
127
  "chat-bison",
128
  None,
129
  "Google VertexAI",
 
132
  cost_per_million_output_tokens=0.5,
133
  ),
134
  Model(
135
+ "chat-bison-32k (PaLM 2 32K)",
136
  "chat-bison-32k",
137
  None,
138
  "Google VertexAI",