piotr-szleg-bards-ai commited on
Commit
29c05f7
·
1 Parent(s): 95117cd

2024-02-19 12:35:33 Publish script update

Browse files
data/2024-02-19 12:29:08.685556_time_of_day_comparison.csv ADDED
@@ -0,0 +1,104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ model,time_of_day,execution_time,characters_count,words_count
2
+ Chronos Hermes (13B),night,4.168874144554138,360.0,58.5
3
+ Falcon Instruct (7B),night,1.0781378746032715,42.0,7.5
4
+ LLaMA-2 Chat (7B),night,1.686687707901001,377.5,61.5
5
+ Mistral (7B) Instruct v0.2 (Together AI),early morning,3.704360596338908,511.9375,65.41666666666667
6
+ Mistral (7B) Instruct v0.2 (Together AI),morning,3.7677523457274145,501.96153846153845,64.25
7
+ Mistral (7B) Instruct v0.2 (Together AI),afternoon,3.757694815480432,497.45652173913044,62.95652173913044
8
+ Mistral (7B) Instruct v0.2 (Together AI),late afternoon,3.6062831030951608,546.7083333333334,64.79166666666667
9
+ Mistral (7B) Instruct v0.2 (Together AI),evening,6.8871185249752465,543.9473684210526,67.8157894736842
10
+ Mistral (7B) Instruct v0.2 (Together AI),late evening,3.389268308877945,511.20454545454544,67.29545454545455
11
+ Mistral (7B) Instruct v0.2 (Together AI),midnight,5.064655106118384,533.3541666666666,67.29166666666667
12
+ Mistral (7B) Instruct v0.2 (Together AI),night,4.0049218302187715,498.2,63.12
13
+ Mistral-7B-Instruct-v0.2,morning,3.734026002883911,362.9,58.35
14
+ Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,222.0625,32.25
15
+ Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,219.8625,31.8
16
+ Mistral-7B-Instruct-v0.2,evening,3.397640073299408,261.18333333333334,40.1
17
+ Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,175.79375,25.68125
18
+ Mistral-7B-Instruct-v0.2,midnight,1.9149879813194275,37.8,2.95
19
+ Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,285.045,41.86
20
+ Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,304.82,47.28
21
+ Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,369.3192307692308,54.353846153846156
22
+ Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,347.9681818181818,47.27272727272727
23
+ Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,326.69,48.545
24
+ Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,395.15714285714284,49.02857142857143
25
+ Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,323.0394736842105,42.69210526315789
26
+ Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,301.24545454545455,42.21818181818182
27
+ OpenHermes-2.5-Mistral (7B),night,3.330963373184204,179.5,28.0
28
+ RedPajama-INCITE Chat (7B),night,1.3475391864776611,34.5,5.0
29
+ Snorkel Mistral PairRM DPO (7B),night,4.399647831916809,404.5,60.5
30
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,372.13,62.53
31
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,372.05,62.6
32
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,308.795,51.08
33
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,285.17857142857144,46.9
34
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,313.99,51.96
35
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,192.78333333333333,31.261111111111113
36
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,210.2,34.2
37
+ TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,372.05,62.6
38
+ WizardLM v1.2 (13B),night,3.350038528442383,162.0,26.0
39
+ chat-bison,midnight,3.890243631601334,398.075,49.0
40
+ chat-bison (PaLM 2),early morning,2.4665334616388592,381.9214285714286,60.892857142857146
41
+ chat-bison (PaLM 2),morning,2.488477897644043,381.73,60.88
42
+ chat-bison (PaLM 2),afternoon,2.6460144804074215,376.28076923076924,55.965384615384615
43
+ chat-bison (PaLM 2),late afternoon,3.0387172081253744,381.1363636363636,53.35454545454545
44
+ chat-bison (PaLM 2),evening,2.688272579908371,367.07,55.89
45
+ chat-bison (PaLM 2),late evening,2.7250528037548065,382.725,52.95
46
+ chat-bison (PaLM 2),midnight,2.468383938074112,381.95,60.9
47
+ chat-bison (PaLM 2),night,2.460119960308075,381.92,60.94
48
+ chat-bison-32k,midnight,4.128177767992019,389.925,48.025
49
+ chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,335.75,53.85
50
+ chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,335.75,53.85
51
+ chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,339.3692307692308,49.323076923076925
52
+ chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,348.65909090909093,48.35454545454545
53
+ chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,329.46,49.5
54
+ chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,349.95,47.805
55
+ chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,335.75,53.85
56
+ chat-bison-32k (PaLM 2 32K),night,6.491292915344238,335.75,53.85
57
+ gemini-pro,early morning,2.7453590130460435,381.2214285714286,60.964285714285715
58
+ gemini-pro,morning,2.497767536007628,371.93,59.39
59
+ gemini-pro,afternoon,2.816922114008949,360.62307692307695,53.25769230769231
60
+ gemini-pro,late afternoon,2.9268629640903114,364.57272727272726,50.1
61
+ gemini-pro,evening,2.86901999375759,366.4,55.045
62
+ gemini-pro,late evening,3.7189874940246117,390.9142857142857,51.35
63
+ gemini-pro,midnight,3.338477972348531,369.825,55.9125
64
+ gemini-pro,night,2.8375814715210272,374.8,60.04
65
+ gpt-3.5-turbo,early morning,3.787998208734724,403.74444444444447,47.34444444444444
66
+ gpt-3.5-turbo,morning,3.126271222697364,389.9888888888889,50.93888888888889
67
+ gpt-3.5-turbo,afternoon,3.9458200880459375,381.4428571428571,43.76190476190476
68
+ gpt-3.5-turbo,late afternoon,4.384064777692159,396.4357142857143,43.28333333333333
69
+ gpt-3.5-turbo,evening,3.5153889304115657,385.18095238095236,46.01428571428571
70
+ gpt-3.5-turbo,late evening,5.110168156187617,422.73510971786834,45.358934169278996
71
+ gpt-3.5-turbo,midnight,3.822115447632102,426.71923076923076,49.05
72
+ gpt-3.5-turbo,night,6.062970260473398,418.6192307692308,44.926923076923075
73
+ gpt-4,early morning,14.348626694414351,323.5388888888889,40.544444444444444
74
+ gpt-4,morning,12.759107512468733,338.18333333333334,46.85
75
+ gpt-4,afternoon,16.002364798386893,318.3095238095238,38.77142857142857
76
+ gpt-4,late afternoon,16.80607506932254,313.3595238095238,37.49285714285714
77
+ gpt-4,evening,13.841120740345547,318.0809523809524,40.19285714285714
78
+ gpt-4,late evening,14.298642643005493,314.336,37.012
79
+ gpt-4,midnight,12.3578163115329,334.075,41.35
80
+ gpt-4,night,12.813134506115546,316.93461538461537,37.93076923076923
81
+ gpt-4-turbo,early morning,11.555620827939775,357.65555555555557,47.21666666666667
82
+ gpt-4-turbo,morning,13.686854598257277,381.8888888888889,55.02777777777778
83
+ gpt-4-turbo,afternoon,13.997754749229976,351.01190476190476,46.03333333333333
84
+ gpt-4-turbo,late afternoon,22.320911452883767,381.65714285714284,47.35476190476191
85
+ gpt-4-turbo,evening,16.550320884159632,382.31666666666666,48.45
86
+ gpt-4-turbo,late evening,14.592236209392548,413.61,44.8
87
+ gpt-4-turbo,midnight,13.770663784850727,382.7613636363636,47.61818181818182
88
+ gpt-4-turbo,night,14.254795966698573,352.54615384615386,46.37692307692308
89
+ llama-2-70b-chat,early morning,2.8660141522424265,289.6642857142857,44.614285714285714
90
+ llama-2-70b-chat,morning,2.872361832027194,283.35,43.45
91
+ llama-2-70b-chat,afternoon,4.234376892130426,375.44615384615383,55.238461538461536
92
+ llama-2-70b-chat,late afternoon,3.6833307104881365,433.6636363636364,59.445454545454545
93
+ llama-2-70b-chat,evening,2.9706250462084185,317.245,47.4
94
+ llama-2-70b-chat,late evening,4.719581684340602,572.1689655172414,79.83103448275862
95
+ llama-2-70b-chat,midnight,3.249819871626402,346.8875,52.06875
96
+ llama-2-70b-chat,night,2.8264514451677147,313.71,48.42
97
+ zephyr-7b-beta,early morning,3.937663261095683,273.03333333333336,43.45
98
+ zephyr-7b-beta,morning,4.056525647640228,386.3,63.35
99
+ zephyr-7b-beta,afternoon,3.5789777278900146,277.6,44.016666666666666
100
+ zephyr-7b-beta,late afternoon,3.4592524923459447,248.59,38.9
101
+ zephyr-7b-beta,evening,3.5673056403795878,273.3666666666667,43.5
102
+ zephyr-7b-beta,late evening,3.45343524068594,176.23125,27.21875
103
+ zephyr-7b-beta,midnight,3.7253047794103624,217.82083333333333,33.67916666666667
104
+ zephyr-7b-beta,night,3.6954557319482166,216.55833333333334,33.46666666666667
data/time_of_day_plots.csv CHANGED
The diff for this file is too large to render. See raw diff
 
pipeline/models.py CHANGED
@@ -11,7 +11,7 @@ class Model(object):
11
  hourly_cost: int = None
12
  cost_description: str = None
13
  supports_functions: str = False
14
- size_billion_parameters: int = None # in billion paramters
15
  cost_per_million_tokens: int = None
16
  cost_per_million_input_tokens: int = None
17
  cost_per_million_output_tokens: int = None
 
11
  hourly_cost: int = None
12
  cost_description: str = None
13
  supports_functions: str = False
14
+ size_billion_parameters: int = None
15
  cost_per_million_tokens: int = None
16
  cost_per_million_input_tokens: int = None
17
  cost_per_million_output_tokens: int = None