diff --git "a/data/general_plots.csv" "b/data/general_plots.csv"
--- "a/data/general_plots.csv"
+++ "b/data/general_plots.csv"
@@ -1,9 +1,79 @@
-path,plot_object,header,description,plot_json
+path,plot_object,header,description,plot_json,arguments,df
./html/plots/response_times.html,"Figure({
'data': [{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'legendgroup': '01-ai Yi Chat (34B)',
'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': '01-ai Yi Chat (34B)',
+ 'offsetgroup': '01-ai Yi Chat (34B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['01-ai Yi Chat (34B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([nan]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Chronos Hermes (13B)',
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'name': 'Chronos Hermes (13B)',
+ 'offsetgroup': 'Chronos Hermes (13B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Chronos Hermes (13B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.16887414]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Falcon Instruct (7B)',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'Falcon Instruct (7B)',
+ 'offsetgroup': 'Falcon Instruct (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Falcon Instruct (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.07813787]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'LLaMA-2 Chat (7B)',
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'LLaMA-2 Chat (7B)',
+ 'offsetgroup': 'LLaMA-2 Chat (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['LLaMA-2 Chat (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.68668771]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral (7B) Instruct v0.2 (Together AI)',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'Mistral (7B) Instruct v0.2 (Together AI)',
+ 'offsetgroup': 'Mistral (7B) Instruct v0.2 (Together AI)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Mistral (7B) Instruct v0.2 (Together AI)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.77096045]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Mistral-7B-Instruct-v0.2',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
'name': 'Mistral-7B-Instruct-v0.2',
'offsetgroup': 'Mistral-7B-Instruct-v0.2',
'orientation': 'v',
@@ -17,7 +87,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
- 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
'name': 'Mixtral-8x7B-Instruct-v0.1',
'offsetgroup': 'Mixtral-8x7B-Instruct-v0.1',
'orientation': 'v',
@@ -28,10 +98,66 @@ path,plot_object,header,description,plot_json
'xaxis': 'x',
'y': array([4.83500647]),
'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'OpenHermes-2.5-Mistral (7B)',
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'name': 'OpenHermes-2.5-Mistral (7B)',
+ 'offsetgroup': 'OpenHermes-2.5-Mistral (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['OpenHermes-2.5-Mistral (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.33096337]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Qwen 1.5 Chat (7B)',
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'name': 'Qwen 1.5 Chat (7B)',
+ 'offsetgroup': 'Qwen 1.5 Chat (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Qwen 1.5 Chat (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([nan]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'RedPajama-INCITE Chat (7B)',
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'name': 'RedPajama-INCITE Chat (7B)',
+ 'offsetgroup': 'RedPajama-INCITE Chat (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['RedPajama-INCITE Chat (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([1.34753919]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Snorkel Mistral PairRM DPO (7B)',
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'name': 'Snorkel Mistral PairRM DPO (7B)',
+ 'offsetgroup': 'Snorkel Mistral PairRM DPO (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Snorkel Mistral PairRM DPO (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([4.39964783]),
+ 'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
'orientation': 'v',
@@ -44,8 +170,50 @@ path,plot_object,header,description,plot_json
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
- 'legendgroup': 'chat-bison',
+ 'legendgroup': 'Upstage SOLAR Instruct v1 (11B)',
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'name': 'Upstage SOLAR Instruct v1 (11B)',
+ 'offsetgroup': 'Upstage SOLAR Instruct v1 (11B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Upstage SOLAR Instruct v1 (11B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([nan]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'Vicuna v1.5 (7B)',
'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
+ 'name': 'Vicuna v1.5 (7B)',
+ 'offsetgroup': 'Vicuna v1.5 (7B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['Vicuna v1.5 (7B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([nan]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'WizardLM v1.2 (13B)',
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'name': 'WizardLM v1.2 (13B)',
+ 'offsetgroup': 'WizardLM v1.2 (13B)',
+ 'orientation': 'v',
+ 'showlegend': True,
+ 'textposition': 'auto',
+ 'type': 'bar',
+ 'x': array(['WizardLM v1.2 (13B)'], dtype=object),
+ 'xaxis': 'x',
+ 'y': array([3.35003853]),
+ 'yaxis': 'y'},
+ {'alignmentgroup': 'True',
+ 'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
+ 'legendgroup': 'chat-bison',
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
'name': 'chat-bison',
'offsetgroup': 'chat-bison',
'orientation': 'v',
@@ -59,7 +227,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'chat-bison (PaLM 2)',
- 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
'name': 'chat-bison (PaLM 2)',
'offsetgroup': 'chat-bison (PaLM 2)',
'orientation': 'v',
@@ -73,7 +241,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'chat-bison-32k',
- 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
'name': 'chat-bison-32k',
'offsetgroup': 'chat-bison-32k',
'orientation': 'v',
@@ -87,7 +255,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
- 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
'name': 'chat-bison-32k (PaLM 2 32K)',
'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
'orientation': 'v',
@@ -101,7 +269,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'gemini-pro',
- 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
'name': 'gemini-pro',
'offsetgroup': 'gemini-pro',
'orientation': 'v',
@@ -115,7 +283,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'gpt-3.5-turbo',
- 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
'name': 'gpt-3.5-turbo',
'offsetgroup': 'gpt-3.5-turbo',
'orientation': 'v',
@@ -129,7 +297,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'gpt-4',
- 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
'name': 'gpt-4',
'offsetgroup': 'gpt-4',
'orientation': 'v',
@@ -143,7 +311,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'gpt-4-turbo',
- 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
'name': 'gpt-4-turbo',
'offsetgroup': 'gpt-4-turbo',
'orientation': 'v',
@@ -157,7 +325,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'llama-2-70b-chat',
- 'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
'name': 'llama-2-70b-chat',
'offsetgroup': 'llama-2-70b-chat',
'orientation': 'v',
@@ -171,7 +339,7 @@ path,plot_object,header,description,plot_json
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{x}
Execution time (s)=%{y}',
'legendgroup': 'zephyr-7b-beta',
- 'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
'name': 'zephyr-7b-beta',
'offsetgroup': 'zephyr-7b-beta',
'orientation': 'v',
@@ -187,10 +355,18 @@ path,plot_object,header,description,plot_json
'template': '...',
'title': {'text': 'Model endpoints response times'},
'xaxis': {'anchor': 'y',
- 'categoryarray': [Mistral-7B-Instruct-v0.2,
+ 'categoryarray': [01-ai Yi Chat (34B), Chronos Hermes
+ (13B), Falcon Instruct (7B), LLaMA-2
+ Chat (7B), Mistral (7B) Instruct v0.2
+ (Together AI), Mistral-7B-Instruct-v0.2,
Mixtral-8x7B-Instruct-v0.1,
+ OpenHermes-2.5-Mistral (7B), Qwen 1.5
+ Chat (7B), RedPajama-INCITE Chat (7B),
+ Snorkel Mistral PairRM DPO (7B),
TinyLlama/TinyLlama-1.1B-Chat-v1.0,
- chat-bison, chat-bison (PaLM 2), chat-
+ Upstage SOLAR Instruct v1 (11B), Vicuna
+ v1.5 (7B), WizardLM v1.2 (13B), chat-
+ bison, chat-bison (PaLM 2), chat-
bison-32k, chat-bison-32k (PaLM 2 32K),
gemini-pro, gpt-3.5-turbo, gpt-4,
gpt-4-turbo, llama-2-70b-chat,
@@ -203,7 +379,33 @@ path,plot_object,header,description,plot_json
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.
-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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(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"":[1.7927383464436197],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""chat-bison"",""marker"":{""color"":""#ab63fa"",""pattern"":{""shape"":""""}},""name"":""chat-bison"",""offsetgroup"":""chat-bison"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""chat-bison""],""xaxis"":""x"",""y"":[3.890243631601334],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""chat-bison (PaLM 2)"",""marker"":{""color"":""#FFA15A"",""pattern"":{""shape"":""""}},""name"":""chat-bison (PaLM 2)"",""offsetgroup"":""chat-bison (PaLM 2)"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""chat-bison (PaLM 2)""],""xaxis"":""x"",""y"":[2.668303858522159],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""chat-bison-32k"",""marker"":{""color"":""#19d3f3"",""pattern"":{""shape"":""""}},""name"":""chat-bison-32k"",""offsetgroup"":""chat-bison-32k"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""chat-bison-32k""],""xaxis"":""x"",""y"":[4.128177767992019],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""chat-bison-32k (PaLM 2 32K)"",""marker"":{""color"":""#FF6692"",""pattern"":{""shape"":""""}},""name"":""chat-bison-32k (PaLM 2 32K)"",""offsetgroup"":""chat-bison-32k (PaLM 2 32K)"",""orientation"":""v"",""showlegend"":true,""textposition"":""auto"",""x"":[""chat-bison-32k (PaLM 2 32K)""],""xaxis"":""x"",""y"":[6.738862129823485],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{x}\u003cbr\u003eExecution time 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'data': [{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{y}
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@@ -215,7 +417,7 @@ It is also important to note that we used litellm python library for all of the
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array([0.04228]),
+ 'x': array([0.00105]),
'xaxis': 'x',
'y': array(['gpt-3.5-turbo'], dtype=object),
'yaxis': 'y'},
@@ -229,7 +431,7 @@ It is also important to note that we used litellm python library for all of the
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array([0.4148]),
+ 'x': array([0.0125]),
'xaxis': 'x',
'y': array(['gpt-4-turbo'], dtype=object),
'yaxis': 'y'},
@@ -243,7 +445,7 @@ It is also important to note that we used litellm python library for all of the
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array([1.0644]),
+ 'x': array([0.0315]),
'xaxis': 'x',
'y': array(['gpt-4'], dtype=object),
'yaxis': 'y'},
@@ -257,7 +459,7 @@ It is also important to note that we used litellm python library for all of the
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.002529]),
'xaxis': 'x',
'y': array(['llama-2-70b-chat'], dtype=object),
'yaxis': 'y'},
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.000855]),
'xaxis': 'x',
'y': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'Model=%{y}
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- 'legendgroup': 'zephyr-7b-beta',
- 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
- 'name': 'zephyr-7b-beta',
- 'offsetgroup': 'zephyr-7b-beta',
- 'orientation': 'h',
- 'showlegend': True,
- 'textposition': 'auto',
- 'type': 'bar',
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- 'xaxis': 'x',
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- 'yaxis': 'y'},
- {'alignmentgroup': 'True',
- 'hovertemplate': 'Model=%{y}
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- 'legendgroup': 'Mistral-7B-Instruct-v0.2',
- 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
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- 'showlegend': True,
- 'textposition': 'auto',
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- 'xaxis': 'x',
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- 'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{y}
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'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
- 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
'offsetgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
'orientation': 'h',
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'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.00031001]),
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'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{y}
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'legendgroup': 'gemini-pro',
- 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
'name': 'gemini-pro',
'offsetgroup': 'gemini-pro',
'orientation': 'h',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.0002825]),
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'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{y}
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'legendgroup': 'chat-bison (PaLM 2)',
- 'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
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'offsetgroup': 'chat-bison (PaLM 2)',
'orientation': 'h',
'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.0002825]),
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'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=%{y}
Execution cost ($)=%{x}',
'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
- 'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
+ 'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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'offsetgroup': 'chat-bison-32k (PaLM 2 32K)',
'orientation': 'h',
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'layout': {'barmode': 'relative',
'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
'template': '...',
- 'title': {'text': 'Costs of execution of 800 test queries per model'},
+ 'title': {'text': 'Costs of execution of 20 test queries per model'},
'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Execution cost ($)'}},
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}}}
-})",Costs of execution of 800 test queries per model,"Costs of experiments carried out to create this table, 800 test queries per model.
+ 'yaxis': {'anchor': 'x',
+ 'categoryarray': [chat-bison-32k (PaLM 2 32K), chat-bison
+ (PaLM 2), gemini-pro,
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,
+ Mixtral-8x7B-Instruct-v0.1,
+ llama-2-70b-chat, gpt-4, gpt-4-turbo,
+ gpt-3.5-turbo],
+ 'categoryorder': 'array',
+ 'domain': [0.0, 1.0],
+ 'title': {'text': 'Model'}}}
+})",Costs of execution of 20 test queries per model,"Costs of experiments carried out to create this table, 20 test queries per model.
Note that pause and resume time cost was not included in the cost calculation for the models billed hourly.
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