piotr-szleg-bards-ai commited on
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ab58251
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1 Parent(s): e2a0c87

2024-02-08 10:37:21 Publish script update

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  1. data/general_plots.csv +33 -33
data/general_plots.csv CHANGED
@@ -206,7 +206,7 @@ We used `time.time()` result saved to variable before making the call to API and
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- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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  'legendgroup': 'gpt-4',
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  'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
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  'name': 'gpt-4',
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- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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  'legendgroup': 'llama-2-70b-chat',
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  'name': 'llama-2-70b-chat',
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@@ -271,12 +271,12 @@ It is also important to note that we used litellm python library for all of the
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  'showlegend': True,
272
  'textposition': 'auto',
273
  'type': 'bar',
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- 'x': array([0.03186]),
275
  'xaxis': 'x',
276
  'y': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
277
  'yaxis': 'y'},
278
  {'alignmentgroup': 'True',
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- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
280
  'legendgroup': 'zephyr-7b-beta',
281
  'marker': {'color': '#19d3f3', 'pattern': {'shape': ''}},
282
  'name': 'zephyr-7b-beta',
@@ -285,12 +285,12 @@ It is also important to note that we used litellm python library for all of the
285
  'showlegend': True,
286
  'textposition': 'auto',
287
  'type': 'bar',
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- 'x': array([0.05998004]),
289
  'xaxis': 'x',
290
  'y': array(['zephyr-7b-beta'], dtype=object),
291
  'yaxis': 'y'},
292
  {'alignmentgroup': 'True',
293
- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
294
  'legendgroup': 'Mistral-7B-Instruct-v0.2',
295
  'marker': {'color': '#FF6692', 'pattern': {'shape': ''}},
296
  'name': 'Mistral-7B-Instruct-v0.2',
@@ -299,12 +299,12 @@ It is also important to note that we used litellm python library for all of the
299
  'showlegend': True,
300
  'textposition': 'auto',
301
  'type': 'bar',
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- 'x': array([0.06023522]),
303
  'xaxis': 'x',
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  'y': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
305
  'yaxis': 'y'},
306
  {'alignmentgroup': 'True',
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- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
308
  'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
309
  'marker': {'color': '#B6E880', 'pattern': {'shape': ''}},
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  'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
@@ -313,12 +313,12 @@ It is also important to note that we used litellm python library for all of the
313
  'showlegend': True,
314
  'textposition': 'auto',
315
  'type': 'bar',
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- 'x': array([0.01752953]),
317
  'xaxis': 'x',
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  'y': array(['TinyLlama/TinyLlama-1.1B-Chat-v1.0'], dtype=object),
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  'yaxis': 'y'},
320
  {'alignmentgroup': 'True',
321
- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
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  'legendgroup': 'gemini-pro',
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  'marker': {'color': '#FF97FF', 'pattern': {'shape': ''}},
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  'name': 'gemini-pro',
@@ -327,12 +327,12 @@ It is also important to note that we used litellm python library for all of the
327
  'showlegend': True,
328
  'textposition': 'auto',
329
  'type': 'bar',
330
- 'x': array([0.01077]),
331
  'xaxis': 'x',
332
  'y': array(['gemini-pro'], dtype=object),
333
  'yaxis': 'y'},
334
  {'alignmentgroup': 'True',
335
- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
336
  'legendgroup': 'chat-bison (PaLM 2)',
337
  'marker': {'color': '#FECB52', 'pattern': {'shape': ''}},
338
  'name': 'chat-bison (PaLM 2)',
@@ -341,12 +341,12 @@ It is also important to note that we used litellm python library for all of the
341
  'showlegend': True,
342
  'textposition': 'auto',
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  'type': 'bar',
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- 'x': array([0.01324]),
345
  'xaxis': 'x',
346
  'y': array(['chat-bison (PaLM 2)'], dtype=object),
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  'yaxis': 'y'},
348
  {'alignmentgroup': 'True',
349
- 'hovertemplate': 'Model=%{x}<br>Execution cost ($)=%{y}<extra></extra>',
350
  'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
351
  'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
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  'name': 'chat-bison-32k (PaLM 2 32K)',
@@ -355,7 +355,7 @@ It is also important to note that we used litellm python library for all of the
355
  'showlegend': True,
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  'textposition': 'auto',
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  'type': 'bar',
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- 'x': array([0.01626]),
359
  'xaxis': 'x',
360
  'y': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
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  'yaxis': 'y'}],
@@ -363,16 +363,16 @@ It is also important to note that we used litellm python library for all of the
363
  'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
364
  'template': '...',
365
  'title': {'text': 'Costs of execution of 800 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 ($)'}}}
368
  })",Costs of execution of 800 test queries per model,"Costs of experiments carried out to create this table, 800 test queries per model.
369
 
370
  Note that pause and resume time cost was not included in the cost calculation for the models billed hourly.
371
 
372
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373
  ./html/plots/model_sizes.html,"Figure({
374
  'data': [{'alignmentgroup': 'True',
375
- 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
376
  'legendgroup': 'llama-2-70b-chat',
377
  'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
378
  'name': 'llama-2-70b-chat',
@@ -386,7 +386,7 @@ Also although Gemini-Pro model is free for under 60 queries per minute we calcul
386
  'y': array(['llama-2-70b-chat'], dtype=object),
387
  'yaxis': 'y'},
388
  {'alignmentgroup': 'True',
389
- 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
390
  'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
391
  'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
392
  'name': 'Mixtral-8x7B-Instruct-v0.1',
@@ -400,7 +400,7 @@ Also although Gemini-Pro model is free for under 60 queries per minute we calcul
400
  'y': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
401
  'yaxis': 'y'},
402
  {'alignmentgroup': 'True',
403
- 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
404
  'legendgroup': 'zephyr-7b-beta',
405
  'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
406
  'name': 'zephyr-7b-beta',
@@ -414,7 +414,7 @@ Also although Gemini-Pro model is free for under 60 queries per minute we calcul
414
  'y': array(['zephyr-7b-beta'], dtype=object),
415
  'yaxis': 'y'},
416
  {'alignmentgroup': 'True',
417
- 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
418
  'legendgroup': 'Mistral-7B-Instruct-v0.2',
419
  'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
420
  'name': 'Mistral-7B-Instruct-v0.2',
@@ -428,7 +428,7 @@ Also although Gemini-Pro model is free for under 60 queries per minute we calcul
428
  'y': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
429
  'yaxis': 'y'},
430
  {'alignmentgroup': 'True',
431
- 'hovertemplate': 'Model=%{x}<br>Model size (B params)=%{y}<extra></extra>',
432
  'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
433
  'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
434
  'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
@@ -445,8 +445,8 @@ Also although Gemini-Pro model is free for under 60 queries per minute we calcul
445
  'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
446
  'template': '...',
447
  'title': {'text': 'Model sizes in billions of parameters'},
448
- 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}},
449
- 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Model size (B params)'}}}
450
  })",Model sizes in billions of parameters,"Model sizes based on release blogs and documentation of their respective developers.
451
 
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206
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  'showlegend': True,
342
  'textposition': 'auto',
343
  'type': 'bar',
344
+ 'x': array([0.04731]),
345
  'xaxis': 'x',
346
  'y': array(['chat-bison (PaLM 2)'], dtype=object),
347
  'yaxis': 'y'},
348
  {'alignmentgroup': 'True',
349
+ 'hovertemplate': 'Model=%{y}<br>Execution cost ($)=%{x}<extra></extra>',
350
  'legendgroup': 'chat-bison-32k (PaLM 2 32K)',
351
  'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
352
  'name': 'chat-bison-32k (PaLM 2 32K)',
 
355
  'showlegend': True,
356
  'textposition': 'auto',
357
  'type': 'bar',
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+ 'x': array([0.04454]),
359
  'xaxis': 'x',
360
  'y': array(['chat-bison-32k (PaLM 2 32K)'], dtype=object),
361
  'yaxis': 'y'}],
 
363
  'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
364
  'template': '...',
365
  'title': {'text': 'Costs of execution of 800 test queries per model'},
366
+ 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Execution cost ($)'}},
367
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}}}
368
  })",Costs of execution of 800 test queries per model,"Costs of experiments carried out to create this table, 800 test queries per model.
369
 
370
  Note that pause and resume time cost was not included in the cost calculation for the models billed hourly.
371
 
372
+ Also although Gemini-Pro model is free for under 60 queries per minute we calculated the full cost for generating the tokens.","{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{y}\u003cbr\u003eExecution cost ($)=%{x}\u003cextra\u003e\u003c\u002fextra\u003e"",""legendgroup"":""gpt-3.5-turbo"",""marker"":{""color"":""#636efa"",""pattern"":{""shape"":""""}},""name"":""gpt-3.5-turbo"",""offsetgroup"":""gpt-3.5-turbo"",""orientation"":""h"",""showlegend"":true,""textposition"":""auto"",""x"":[0.22948],""xaxis"":""x"",""y"":[""gpt-3.5-turbo""],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=%{y}\u003cbr\u003eExecution cost 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373
  ./html/plots/model_sizes.html,"Figure({
374
  'data': [{'alignmentgroup': 'True',
375
+ 'hovertemplate': 'Model=%{y}<br>Model size (B params)=%{x}<extra></extra>',
376
  'legendgroup': 'llama-2-70b-chat',
377
  'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
378
  'name': 'llama-2-70b-chat',
 
386
  'y': array(['llama-2-70b-chat'], dtype=object),
387
  'yaxis': 'y'},
388
  {'alignmentgroup': 'True',
389
+ 'hovertemplate': 'Model=%{y}<br>Model size (B params)=%{x}<extra></extra>',
390
  'legendgroup': 'Mixtral-8x7B-Instruct-v0.1',
391
  'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
392
  'name': 'Mixtral-8x7B-Instruct-v0.1',
 
400
  'y': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
401
  'yaxis': 'y'},
402
  {'alignmentgroup': 'True',
403
+ 'hovertemplate': 'Model=%{y}<br>Model size (B params)=%{x}<extra></extra>',
404
  'legendgroup': 'zephyr-7b-beta',
405
  'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
406
  'name': 'zephyr-7b-beta',
 
414
  'y': array(['zephyr-7b-beta'], dtype=object),
415
  'yaxis': 'y'},
416
  {'alignmentgroup': 'True',
417
+ 'hovertemplate': 'Model=%{y}<br>Model size (B params)=%{x}<extra></extra>',
418
  'legendgroup': 'Mistral-7B-Instruct-v0.2',
419
  'marker': {'color': '#ab63fa', 'pattern': {'shape': ''}},
420
  'name': 'Mistral-7B-Instruct-v0.2',
 
428
  'y': array(['Mistral-7B-Instruct-v0.2'], dtype=object),
429
  'yaxis': 'y'},
430
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431
+ 'hovertemplate': 'Model=%{y}<br>Model size (B params)=%{x}<extra></extra>',
432
  'legendgroup': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
433
  'marker': {'color': '#FFA15A', 'pattern': {'shape': ''}},
434
  'name': 'TinyLlama/TinyLlama-1.1B-Chat-v1.0',
 
445
  'legend': {'title': {'text': 'Model'}, 'tracegroupgap': 0},
446
  'template': '...',
447
  'title': {'text': 'Model sizes in billions of parameters'},
448
+ 'xaxis': {'anchor': 'y', 'domain': [0.0, 1.0], 'title': {'text': 'Model size (B params)'}},
449
+ 'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Model'}}}
450
  })",Model sizes in billions of parameters,"Model sizes based on release blogs and documentation of their respective developers.
451
 
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