diff --git "a/data/time_of_day_plots.csv" "b/data/time_of_day_plots.csv"
--- "a/data/time_of_day_plots.csv"
+++ "b/data/time_of_day_plots.csv"
@@ -13,7 +13,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([ 9.13007492, 9.2439955 , 12.25532367, 9.41765652, 8.16779063,
+ 'y': array([ 9.13007492, 11.17056058, 12.25532367, 9.41765652, 8.16779063,
9.68003317, 9.31174723, 9.62552055]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -29,8 +29,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([8.06354256, 8.22105715, 6.65112005, 7.63030321, 6.46873097, 7.71056165,
- 7.71001099, 7.90736183]),
+ 'y': array([ 8.06354256, 6.32047439, 6.65112005, 7.63030321, 6.46873097,
+ 7.71056165, 7.71001099, 16.54423102]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': ('Model=Falcon Instruct (7B)
' ... 'n Time (s)=%{y}'),
@@ -61,7 +61,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.82099881, 2.67823627, 3.54754964, 2.77556086, 2.96089393, 2.86933 ,
+ 'y': array([2.82099881, 2.32547838, 3.54754964, 2.77556086, 2.96089393, 2.86933 ,
2.88702445, 4.64552507]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -77,7 +77,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([3.62720179, 3.67250515, 3.25550906, 3.54229803, 5.49634713, 3.39331886,
+ 'y': array([3.62720179, 3.45762844, 3.25550906, 3.54229803, 5.49634713, 3.39331886,
4.51018944, 3.54516785]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -93,7 +93,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([4.62575221, 3.734026 , 3.22897372, 3.20486431, 3.39764007, 2.79692073,
+ 'y': array([4.62575221, 3.734026 , 3.22897372, 3.20486431, 3.39764007, 3.38928457,
2.69724945, 4.60935074]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -109,8 +109,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([3.79191233, 3.9661055 , 5.36290398, 5.27209627, 3.64351196, 4.79296463,
- 4.27443185, 4.00943934]),
+ 'y': array([4.52696824, 3.7867753 , 5.36290398, 5.80184749, 3.64351196, 5.62397657,
+ 4.6390108 , 4.00943934]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': ('Model=OpenHermes-2.5-Mistral (' ... 'n Time (s)=%{y}'),
@@ -125,7 +125,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.84954498, 2.46380607, 3.38280375, 2.52796064, 2.7269539 , 2.72056076,
+ 'y': array([2.84954498, 2.58613386, 3.38280375, 2.52796064, 2.7269539 , 2.72056076,
2.80865475, 2.74707159]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -141,7 +141,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.16750781, 1.83591799, 2.539413 , 2.07159797, 2.32537794, 1.9339115 ,
+ 'y': array([2.16750781, 2.251271 , 2.539413 , 2.07159797, 2.32537794, 1.9339115 ,
2.28249075, 1.98169334]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -157,7 +157,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.14931231, 1.75581684, 1.8110082 , 1.74369213, 1.96449791, 2.25810586,
+ 'y': array([2.14931231, 1.48038655, 1.8110082 , 1.74369213, 1.96449791, 2.25810586,
2.07292815, 2.02201844]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -173,8 +173,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([4.51893911, 4.73589717, 5.83125898, 4.48167375, 4.24140276, 4.53245011,
- 4.32758487, 4.38489988]),
+ 'y': array([20.89257616, 14.71105941, 34.58626312, 22.35323154, 24.74852074,
+ 24.12095545, 22.67028365, 21.55497247]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': ('Model=TinyLlama/TinyLlama-1.1B' ... 'n Time (s)=%{y}'),
@@ -189,7 +189,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.02733486, 1.90412102, 1.83819055, 1.75471139, 1.79841879, 1.58754229,
+ 'y': array([2.02733486, 1.90306302, 1.83819055, 1.75471139, 1.79841879, 1.58754229,
1.63412483, 2.01280102]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -205,7 +205,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([3.38919752, 5.20414183, 3.67057666, 3.76860036, 3.08168554, 3.77937591,
+ 'y': array([3.38919752, 3.40127092, 3.67057666, 3.76860036, 3.08168554, 3.77937591,
3.81649607, 3.64865534]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -221,7 +221,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([5.29058644, 4.69548333, 7.01990617, 4.93535215, 4.93998982, 5.11581134,
+ 'y': array([5.29058644, 5.89973909, 7.01990617, 4.93535215, 4.93998982, 5.11581134,
5.25510893, 5.41100251]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -253,7 +253,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([9.14141711, 7.70355038, 4.63767499, 4.50473623, 7.73321949, 7.431328 ,
+ 'y': array([9.14141711, 7.70355038, 5.01445865, 4.50473623, 7.73321949, 7.79684106,
7.74982665, 6.49129292]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -269,7 +269,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.74535901, 2.49776754, 2.81692211, 2.92686296, 2.86901999, 3.71898749,
+ 'y': array([2.74535901, 2.55226377, 2.81692211, 2.92686296, 2.86901999, 3.71898749,
3.33847797, 2.83758147]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -285,8 +285,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([3.88487245, 3.12627122, 3.94582009, 4.38406478, 3.51538893, 4.16635523,
- 3.82211545, 3.7583212 ]),
+ 'y': array([3.88487245, 3.41166792, 3.94582009, 4.38406478, 3.51538893, 5.11016816,
+ 3.82211545, 6.06297026]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=gpt-4
Time of day=%{x}
Execution Time (s)=%{y}',
@@ -301,8 +301,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([14.04406389, 12.75910751, 16.0023648 , 16.80607507, 13.84112074,
- 14.13558831, 12.35781631, 12.81313451]),
+ 'y': array([14.04406389, 12.84163384, 16.0023648 , 16.80607507, 13.84112074,
+ 14.29864264, 12.35781631, 12.81313451]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': 'Model=gpt-4-turbo
Time of day=%{x}
Execution Time (s)=%{y}',
@@ -317,8 +317,8 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([ 9.22923647, 8.3819149 , 11.31825494, 11.02497504, 10.29442503,
- 9.51469426, 9.43996841, 7.81635426]),
+ 'y': array([11.14260587, 13.53141775, 13.99775475, 22.32091145, 16.55032088,
+ 14.59223621, 13.77066378, 14.25479597]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
'hovertemplate': ('Model=llama-2-70b-chat
Time' ... 'n Time (s)=%{y}'),
@@ -333,7 +333,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([2.86601415, 2.87236183, 4.23437689, 3.68333071, 2.97062505, 4.33722698,
+ 'y': array([2.86601415, 2.67879801, 4.23437689, 3.68333071, 2.97062505, 4.71958168,
3.24981987, 2.82645145]),
'yaxis': 'y'},
{'alignmentgroup': 'True',
@@ -349,7 +349,7 @@ plot_object,header,plot_json,description,df,arguments
'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
'late evening', 'midnight', 'night'], dtype=object),
'xaxis': 'x',
- 'y': array([3.93766326, 4.05652565, 3.57897773, 3.45925249, 3.56730564, 2.84533834,
+ 'y': array([3.93766326, 4.05652565, 3.57897773, 3.45925249, 3.56730564, 3.45343524,
3.72530478, 3.69545573]),
'yaxis': 'y'}],
'layout': {'barmode': 'group',
@@ -364,236 +364,243 @@ plot_object,header,plot_json,description,df,arguments
'domain': [0.0, 1.0],
'title': {'text': 'Time of day'}},
'yaxis': {'anchor': 'x', 'domain': [0.0, 1.0], 'title': {'text': 'Execution Time (s)'}}}
-})",Time of the day plot,"{""data"":[{""alignmentgroup"":""True"",""hovertemplate"":""Model=01-ai Yi Chat (34B)\u003cbr\u003eTime of day=%{x}\u003cbr\u003eExecution Time (s)=%{y}\u003cextra\u003e\u003c\u002fextra\u003e"",""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"",""x"":[""early morning"",""morning"",""afternoon"",""late afternoon"",""evening"",""late evening"",""midnight"",""night""],""xaxis"":""x"",""y"":[9.13007491738049,9.243995500647504,12.255323665086614,9.417656523840767,8.16779062861488,9.680033167203268,9.311747227774726,9.625520552260966],""yaxis"":""y"",""type"":""bar""},{""alignmentgroup"":""True"",""hovertemplate"":""Model=Chronos Hermes (13B)\u003cbr\u003eTime of day=%{x}\u003cbr\u003eExecution Time 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-0,01-ai Yi Chat (34B),early morning,9.13007491738049,2.8026041984558105,21.131053924560547,426.6268656716418,294.0,584.0,43.656716417910445,6.0,89.0,Together AI
-1,01-ai Yi Chat (34B),morning,9.243995500647504,3.012052059173584,20.919682502746582,428.3478260869565,294.0,584.0,42.391304347826086,6.0,82.0,Together AI
-2,01-ai Yi Chat (34B),afternoon,12.255323665086614,2.0155816078186035,54.017855167388916,571.9418604651163,124.0,1627.0,57.593023255813954,4.0,272.0,Together AI
-3,01-ai Yi Chat (34B),late afternoon,9.417656523840767,3.0440945625305176,20.902742624282837,439.95238095238096,297.0,584.0,45.857142857142854,15.0,82.0,Together AI
-4,01-ai Yi Chat (34B),evening,8.16779062861488,2.884411573410034,19.63676166534424,412.3809523809524,294.0,584.0,45.0,6.0,82.0,Together AI
-5,01-ai Yi Chat (34B),late evening,9.680033167203268,2.7506120204925537,20.657597303390503,424.5,294.0,584.0,40.875,6.0,82.0,Together AI
-6,01-ai Yi Chat (34B),midnight,9.311747227774726,2.620687961578369,21.379272937774658,423.53333333333336,294.0,584.0,43.111111111111114,6.0,89.0,Together AI
-7,01-ai Yi Chat (34B),night,9.625520552260966,2.8000857830047607,23.83119535446167,426.9493670886076,294.0,584.0,41.9746835443038,6.0,89.0,Together AI
-8,Chronos Hermes (13B),early morning,8.063542557544396,1.3158385753631592,31.60169529914856,549.4426229508197,155.0,1442.0,59.114754098360656,5.0,227.0,Together AI
-9,Chronos Hermes (13B),morning,8.221057146787643,1.262566089630127,31.414015531539917,595.375,155.0,1442.0,64.5,5.0,227.0,Together AI
-10,Chronos Hermes (13B),afternoon,6.651120054020601,1.5965147018432617,28.716880559921265,609.3176470588236,64.0,3031.0,85.95294117647059,2.0,539.0,Together AI
-11,Chronos Hermes (13B),late afternoon,7.630303209478205,1.3507373332977295,30.631603956222534,594.1363636363636,155.0,1442.0,68.54545454545455,5.0,227.0,Together AI
-12,Chronos Hermes (13B),evening,6.468730966250102,2.2841973304748535,28.56206250190735,603.3888888888889,322.0,1442.0,80.16666666666667,5.0,227.0,Together AI
-13,Chronos Hermes (13B),late evening,7.710561646355523,2.432551383972168,30.597865104675293,517.1666666666666,155.0,1442.0,56.611111111111114,5.0,227.0,Together AI
-14,Chronos Hermes (13B),midnight,7.710010987520218,1.3517813682556152,31.449679374694824,559.5,155.0,1442.0,63.175,5.0,227.0,Together AI
-15,Chronos Hermes (13B),night,7.907361829784555,1.278723955154419,33.31306838989258,586.4929577464789,153.0,1442.0,67.12676056338029,5.0,227.0,Together AI
-16,Falcon Instruct (7B),early morning,1.2471453740046574,0.418881893157959,4.323866844177246,51.276923076923076,3.0,101.0,9.492307692307692,1.0,17.0,Together AI
-17,Falcon Instruct (7B),morning,1.4012710821060907,0.42804694175720215,3.9746317863464355,54.04761904761905,3.0,101.0,10.0,1.0,17.0,Together AI
-18,Falcon Instruct (7B),afternoon,1.5774729509611387,0.38842058181762695,4.269047021865845,47.95945945945946,3.0,101.0,9.108108108108109,1.0,19.0,Together AI
-19,Falcon Instruct (7B),late afternoon,1.0884015900748116,0.4407048225402832,3.778937816619873,50.095238095238095,3.0,101.0,9.333333333333334,1.0,17.0,Together AI
-20,Falcon Instruct (7B),evening,0.7874892950057983,0.410703182220459,2.426168918609619,43.55555555555556,3.0,101.0,8.222222222222221,1.0,17.0,Together AI
-21,Falcon Instruct (7B),late evening,1.2339241071180864,0.42011547088623047,3.741771697998047,51.04545454545455,3.0,101.0,9.5,1.0,17.0,Together AI
-22,Falcon Instruct (7B),midnight,0.9382020387894068,0.417522668838501,3.5052387714385986,47.43589743589744,3.0,101.0,8.948717948717949,1.0,17.0,Together AI
-23,Falcon Instruct (7B),night,1.2997726936862892,0.40680432319641113,4.247479677200317,51.56164383561644,3.0,101.0,9.575342465753424,1.0,17.0,Together AI
-24,LLaMA-2 Chat (7B),early morning,2.8209988124230327,1.035428762435913,6.023603439331055,470.8970588235294,325.0,985.0,64.42647058823529,4.0,149.0,Together AI
-25,LLaMA-2 Chat (7B),morning,2.678236266841059,1.0565335750579834,4.452203035354614,474.82608695652175,325.0,985.0,63.43478260869565,4.0,149.0,Together AI
-26,LLaMA-2 Chat (7B),afternoon,3.5475496424569024,1.0705671310424805,14.094016075134277,509.81111111111113,152.0,1510.0,56.67777777777778,4.0,213.0,Together AI
-27,LLaMA-2 Chat (7B),late afternoon,2.7755608558654785,1.3516404628753662,4.1744301319122314,506.4117647058824,325.0,985.0,73.11764705882354,4.0,149.0,Together AI
-28,LLaMA-2 Chat (7B),evening,2.9608939344232734,2.064330577850342,4.3006792068481445,471.59090909090907,325.0,985.0,68.0,4.0,149.0,Together AI
-29,LLaMA-2 Chat (7B),late evening,2.869330001913983,1.160935640335083,5.1047961711883545,472.39130434782606,325.0,985.0,65.82608695652173,4.0,149.0,Together AI
-30,LLaMA-2 Chat (7B),midnight,2.8870244533457656,1.0700302124023438,5.987953424453735,470.468085106383,325.0,985.0,64.51063829787235,4.0,149.0,Together AI
-31,LLaMA-2 Chat (7B),night,4.6455250724417265,1.1601483821868896,22.316121816635132,453.88524590163934,325.0,985.0,62.39344262295082,4.0,149.0,Together AI
-32,Mistral (7B) Instruct v0.2 (Together AI),early morning,3.627201789248306,0.9703679084777832,11.814799070358276,547.0530973451328,171.0,1784.0,69.01769911504425,4.0,234.0,Together AI
-33,Mistral (7B) Instruct v0.2 (Together AI),morning,3.6725051470205816,0.8738787174224854,11.855232238769531,536.0985915492957,181.0,1784.0,68.2394366197183,4.0,234.0,Together AI
-34,Mistral (7B) Instruct v0.2 (Together AI),afternoon,3.255509059895914,0.9155564308166504,18.82912302017212,514.8994708994709,181.0,3014.0,64.97883597883597,2.0,285.0,Together AI
-35,Mistral (7B) Instruct v0.2 (Together AI),late afternoon,3.542298033617545,0.9134914875030518,8.720620393753052,567.1449275362319,181.0,1784.0,68.5072463768116,2.0,234.0,Together AI
-36,Mistral (7B) Instruct v0.2 (Together AI),evening,5.496347131400273,0.8985519409179688,54.58949375152588,542.4827586206897,181.0,1784.0,68.17241379310344,2.0,234.0,Together AI
-37,Mistral (7B) Instruct v0.2 (Together AI),late evening,3.3933188574654713,0.8962244987487793,9.048192739486694,556.1746031746031,181.0,1784.0,71.73015873015873,4.0,234.0,Together AI
-38,Mistral (7B) Instruct v0.2 (Together AI),midnight,4.510189438914205,0.8941171169281006,25.338401079177856,545.7692307692307,181.0,1784.0,68.74725274725274,4.0,234.0,Together AI
-39,Mistral (7B) Instruct v0.2 (Together AI),night,3.5451678467578573,0.8892025947570801,12.310133695602417,533.1065573770492,171.0,1784.0,66.94262295081967,4.0,234.0,Together AI
-40,Mistral-7B-Instruct-v0.2,early morning,4.625752210617065,3.949249505996704,5.039102077484131,214.0,95.0,377.0,29.75,3.0,61.0,Hugging Face Inference Endpoint
-41,Mistral-7B-Instruct-v0.2,morning,3.734026002883911,2.8412067890167236,4.190511226654053,362.9,252.0,482.0,58.35,39.0,77.0,Hugging Face Inference Endpoint
-42,Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,0.7488498687744141,4.515047550201416,222.0625,0.0,503.0,32.25,0.0,77.0,Hugging Face Inference Endpoint
-43,Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,0.7534739971160889,4.48244833946228,219.8625,0.0,503.0,31.8,0.0,77.0,Hugging Face Inference Endpoint
-44,Mistral-7B-Instruct-v0.2,evening,3.397640073299408,0.7322485446929932,7.530469655990601,261.18333333333334,0.0,482.0,40.1,0.0,77.0,Hugging Face Inference Endpoint
-45,Mistral-7B-Instruct-v0.2,late evening,2.796920734381526,0.7476711273193359,5.995672702789307,174.32704402515722,0.0,503.0,25.440251572327043,0.0,77.0,Hugging Face Inference Endpoint
-46,Mistral-7B-Instruct-v0.2,midnight,2.6972494465964183,0.7803714275360107,5.025636196136475,88.14285714285714,0.0,377.0,10.607142857142858,0.0,61.0,Hugging Face Inference Endpoint
-47,Mistral-7B-Instruct-v0.2,night,4.609350740909576,3.91265869140625,4.975342035293579,214.0,95.0,377.0,29.75,3.0,61.0,Hugging Face Inference Endpoint
-48,Mixtral-8x7B-Instruct-v0.1,early morning,3.791912331725612,1.3495268821716309,21.078988790512085,428.6666666666667,190.0,2033.0,62.93181818181818,2.0,310.0,Together AI
-49,Mixtral-8x7B-Instruct-v0.1,morning,3.9661054956285575,1.3714869022369385,18.827024698257446,401.07894736842104,208.0,646.0,62.21052631578947,32.0,104.0,Together AI
-50,Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,1.2343645095825195,21.06575345993042,452.938679245283,190.0,2033.0,66.66037735849056,2.0,310.0,Together AI
-51,Mixtral-8x7B-Instruct-v0.1,late afternoon,5.272096274973272,1.49995756149292,27.44243097305298,418.75824175824175,173.0,1271.0,56.82967032967033,1.0,216.0,Together AI
-52,Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,1.3169512748718262,18.395429134368896,416.1656050955414,190.0,1269.0,61.84076433121019,2.0,214.0,Together AI
-53,Mixtral-8x7B-Instruct-v0.1,late evening,4.792964628468389,1.255105972290039,23.370755672454834,478.80434782608694,173.0,2618.0,59.6695652173913,1.0,413.0,Together AI
-54,Mixtral-8x7B-Instruct-v0.1,midnight,4.274431848884525,1.3257741928100586,36.458353757858276,459.8721804511278,190.0,1290.0,60.744360902255636,1.0,192.0,Together AI
-55,Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,1.3533086776733398,13.848145723342896,436.0131578947368,190.0,1231.0,61.10526315789474,2.0,188.0,Together AI
-56,OpenHermes-2.5-Mistral (7B),early morning,2.8495449788040585,1.1569948196411133,5.551050662994385,281.0416666666667,141.0,374.0,32.125,1.0,64.0,Together AI
-57,OpenHermes-2.5-Mistral (7B),morning,2.46380607287089,1.0310070514678955,4.353039741516113,277.875,141.0,374.0,32.125,1.0,64.0,Together AI
-58,OpenHermes-2.5-Mistral (7B),afternoon,3.382803752858152,0.9008805751800537,18.957056999206543,369.35483870967744,82.0,2991.0,33.8494623655914,1.0,99.0,Together AI
-59,OpenHermes-2.5-Mistral (7B),late afternoon,2.52796063820521,0.9257056713104248,4.2641379833221436,281.125,141.0,374.0,32.125,1.0,64.0,Together AI
-60,OpenHermes-2.5-Mistral (7B),evening,2.7269538966092197,1.0407700538635254,4.872406721115112,277.1818181818182,141.0,374.0,29.363636363636363,1.0,64.0,Together AI
-61,OpenHermes-2.5-Mistral (7B),late evening,2.720560759305954,1.1110494136810303,4.519970893859863,281.125,141.0,374.0,32.125,1.0,64.0,Together AI
-62,OpenHermes-2.5-Mistral (7B),midnight,2.8086547496470997,1.2991385459899902,4.7419211864471436,279.27659574468083,141.0,374.0,31.48936170212766,1.0,64.0,Together AI
-63,OpenHermes-2.5-Mistral (7B),night,2.7470715910196306,1.1750683784484863,5.954946756362915,281.275,141.0,374.0,32.1,1.0,64.0,Together AI
-64,Qwen 1.5 Chat (7B),early morning,2.167507814036475,0.9619903564453125,4.920398473739624,269.0416666666667,177.0,400.0,30.125,1.0,67.0,Together AI
-65,Qwen 1.5 Chat (7B),morning,1.8359179911406145,0.8541216850280762,2.7175967693328857,264.69565217391306,177.0,400.0,28.73913043478261,1.0,67.0,Together AI
-66,Qwen 1.5 Chat (7B),afternoon,2.539412996504042,0.8583283424377441,9.480445384979248,360.26666666666665,123.0,1083.0,39.03333333333333,1.0,182.0,Together AI
-67,Qwen 1.5 Chat (7B),late afternoon,2.0715979735056558,1.233666181564331,4.4187798500061035,269.0,177.0,400.0,30.125,1.0,67.0,Together AI
-68,Qwen 1.5 Chat (7B),evening,2.325377941131592,1.2237350940704346,4.710259199142456,266.59090909090907,177.0,400.0,29.727272727272727,1.0,67.0,Together AI
-69,Qwen 1.5 Chat (7B),late evening,1.9339114997697913,1.0104713439941406,4.516375303268433,264.69565217391306,177.0,400.0,28.73913043478261,1.0,67.0,Together AI
-70,Qwen 1.5 Chat (7B),midnight,2.2824907505765872,1.069124698638916,4.83498215675354,267.72340425531917,171.0,400.0,29.638297872340427,1.0,67.0,Together AI
-71,Qwen 1.5 Chat (7B),night,1.98169333812518,0.8611364364624023,4.549734115600586,269.2692307692308,171.0,400.0,30.17948717948718,1.0,67.0,Together AI
-72,RedPajama-INCITE Chat (7B),early morning,2.149312309920788,0.9338541030883789,4.298100709915161,60.328125,51.0,78.0,5.0,4.0,7.0,Together AI
-73,RedPajama-INCITE Chat (7B),morning,1.7558168431986934,0.92230224609375,2.5155436992645264,59.869565217391305,51.0,78.0,5.0,4.0,7.0,Together AI
-74,RedPajama-INCITE Chat (7B),afternoon,1.8110081959854474,0.9110820293426514,4.171107292175293,62.96590909090909,51.0,83.0,5.784090909090909,2.0,14.0,Together AI
-75,RedPajama-INCITE Chat (7B),late afternoon,1.7436921298503876,0.9146637916564941,2.4647669792175293,59.625,51.0,78.0,5.0,4.0,7.0,Together AI
-76,RedPajama-INCITE Chat (7B),evening,1.964497913013805,0.9337396621704102,4.010848760604858,60.13636363636363,51.0,78.0,5.0,4.0,7.0,Together AI
-77,RedPajama-INCITE Chat (7B),late evening,2.258105857031686,0.9757111072540283,4.155341148376465,60.42857142857143,51.0,78.0,5.0,4.0,7.0,Together AI
-78,RedPajama-INCITE Chat (7B),midnight,2.072928147845798,0.9375200271606445,4.163625478744507,60.0,51.0,78.0,5.0,4.0,7.0,Together AI
-79,RedPajama-INCITE Chat (7B),night,2.0220184448437815,0.9105582237243652,4.773882150650024,59.96153846153846,51.0,78.0,5.064102564102564,4.0,10.0,Together AI
-80,Snorkel Mistral PairRM DPO (7B),early morning,4.5189391105405745,1.3401362895965576,9.995759010314941,840.5,443.0,1251.0,103.11290322580645,70.0,177.0,Together AI
-81,Snorkel Mistral PairRM DPO (7B),morning,4.7358971663883755,1.996814489364624,10.112697124481201,844.4285714285714,443.0,1251.0,104.28571428571429,70.0,177.0,Together AI
-82,Snorkel Mistral PairRM DPO (7B),afternoon,5.831258978599157,1.2519428730010986,25.606034755706787,1203.423076923077,402.0,4847.0,147.0897435897436,15.0,750.0,Together AI
-83,Snorkel Mistral PairRM DPO (7B),late afternoon,4.481673751558576,2.059854507446289,9.038954973220825,844.4285714285714,443.0,1251.0,104.28571428571429,70.0,177.0,Together AI
-84,Snorkel Mistral PairRM DPO (7B),evening,4.241402758492364,1.5848162174224854,9.025120496749878,828.3888888888889,443.0,1251.0,105.61111111111111,70.0,177.0,Together AI
-85,Snorkel Mistral PairRM DPO (7B),late evening,4.532450111288774,1.3126277923583984,10.296067953109741,818.7894736842105,443.0,1251.0,96.63157894736842,70.0,177.0,Together AI
-86,Snorkel Mistral PairRM DPO (7B),midnight,4.327584865616589,1.3062994480133057,9.743696689605713,838.4878048780488,443.0,1251.0,102.51219512195122,70.0,177.0,Together AI
-87,Snorkel Mistral PairRM DPO (7B),night,4.384899883559256,1.2272593975067139,10.19804573059082,821.7424242424242,391.0,1251.0,100.96969696969697,58.0,177.0,Together AI
-88,TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,1.6510882377624512,2.396561861038208,372.13,280.0,448.0,62.53,38.0,74.0,Hugging Face Inference Endpoint
-89,TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9041210174560548,1.6700537204742432,2.252462148666382,372.05,280.0,448.0,62.6,38.0,74.0,Hugging Face Inference Endpoint
-90,TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,0.7359745502471924,3.315751552581787,308.795,0.0,448.0,51.08,0.0,75.0,Hugging Face Inference Endpoint
-91,TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,0.7477977275848389,2.7170450687408447,285.17857142857144,0.0,448.0,46.9,0.0,75.0,Hugging Face Inference Endpoint
-92,TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,0.7911210060119629,2.242867946624756,313.99,0.0,448.0,51.96,0.0,75.0,Hugging Face Inference Endpoint
-93,TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,0.7482233047485352,3.0341005325317383,192.78333333333333,0.0,448.0,31.261111111111113,0.0,75.0,Hugging Face Inference Endpoint
-94,TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,0.7456190586090088,2.231257200241089,210.2,0.0,448.0,34.2,0.0,74.0,Hugging Face Inference Endpoint
-95,TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,1.78045654296875,2.3337035179138184,372.05,280.0,448.0,62.6,38.0,74.0,Hugging Face Inference Endpoint
-96,Vicuna v1.5 (7B),early morning,3.3891975168596233,1.4861681461334229,8.496459245681763,327.3157894736842,165.0,385.0,37.70175438596491,1.0,66.0,Together AI
-97,Vicuna v1.5 (7B),morning,5.204141834507817,1.4868037700653076,22.59853982925415,321.7826086956522,165.0,385.0,34.26086956521739,1.0,66.0,Together AI
-98,Vicuna v1.5 (7B),afternoon,3.670576659115878,0.9365975856781006,13.137462615966797,385.25,102.0,1137.0,47.77272727272727,1.0,198.0,Together AI
-99,Vicuna v1.5 (7B),late afternoon,3.768600355495106,1.5326943397521973,8.839621782302856,324.27272727272725,165.0,385.0,35.77272727272727,1.0,66.0,Together AI
-100,Vicuna v1.5 (7B),evening,3.0816855430603027,1.4715464115142822,6.439850091934204,329.0,165.0,385.0,42.833333333333336,1.0,66.0,Together AI
-101,Vicuna v1.5 (7B),late evening,3.779375910758972,1.4631173610687256,8.507975101470947,319.1363636363636,165.0,385.0,32.86363636363637,1.0,66.0,Together AI
-102,Vicuna v1.5 (7B),midnight,3.8164960656847273,1.5271682739257812,8.805369853973389,329.9047619047619,165.0,385.0,37.214285714285715,1.0,66.0,Together AI
-103,Vicuna v1.5 (7B),night,3.648655335108439,1.4535038471221924,8.702306270599365,321.81944444444446,165.0,385.0,34.541666666666664,1.0,66.0,Together AI
-104,WizardLM v1.2 (13B),early morning,5.290586443914884,1.9142282009124756,11.821624279022217,309.17391304347825,119.0,917.0,35.17391304347826,1.0,131.0,Together AI
-105,WizardLM v1.2 (13B),morning,4.6954833320949385,2.2222862243652344,8.487712860107422,261.04347826086956,119.0,396.0,28.652173913043477,1.0,66.0,Together AI
-106,WizardLM v1.2 (13B),afternoon,7.0199061699127885,0.5244314670562744,44.715752840042114,338.5168539325843,3.0,1662.0,30.03370786516854,1.0,124.0,Together AI
-107,WizardLM v1.2 (13B),late afternoon,4.935352149217025,2.327338218688965,8.531365871429443,265.0869565217391,119.0,396.0,29.043478260869566,1.0,66.0,Together AI
-108,WizardLM v1.2 (13B),evening,4.939989816058766,2.3061435222625732,8.714090824127197,262.1818181818182,119.0,396.0,28.136363636363637,1.0,66.0,Together AI
-109,WizardLM v1.2 (13B),late evening,5.11581133660816,1.962632417678833,9.275582075119019,258.57142857142856,119.0,396.0,26.285714285714285,1.0,66.0,Together AI
-110,WizardLM v1.2 (13B),midnight,5.255108930847862,1.6706929206848145,11.424241065979004,283.20454545454544,119.0,917.0,30.681818181818183,1.0,131.0,Together AI
-111,WizardLM v1.2 (13B),night,5.411002513689873,1.687584400177002,13.038219928741455,319.5128205128205,119.0,917.0,36.84615384615385,1.0,131.0,Together AI
-112,chat-bison (PaLM 2),early morning,2.4665334616388592,2.0992136001586914,3.2351021766662598,381.9214285714286,124.0,873.0,60.892857142857146,25.0,129.0,Google VertexAI
-113,chat-bison (PaLM 2),morning,2.488477897644043,1.9684116840362549,3.46305775642395,381.73,124.0,873.0,60.88,25.0,129.0,Google VertexAI
-114,chat-bison (PaLM 2),afternoon,2.6460144804074215,1.8480100631713867,6.029164552688599,376.28076923076924,124.0,1416.0,55.965384615384615,6.0,227.0,Google VertexAI
-115,chat-bison (PaLM 2),late afternoon,3.0387172081253744,2.1669023036956787,10.080488443374634,381.1363636363636,106.0,1416.0,53.35454545454545,4.0,227.0,Google VertexAI
-116,chat-bison (PaLM 2),evening,2.688272579908371,2.1424288749694824,8.430241346359253,367.07,124.0,873.0,55.89,6.0,129.0,Google VertexAI
-117,chat-bison (PaLM 2),late evening,2.7250528037548065,1.8091888427734375,5.203229904174805,382.725,110.0,1416.0,52.95,4.0,227.0,Google VertexAI
-118,chat-bison (PaLM 2),midnight,2.468383938074112,2.146925687789917,3.8768985271453857,381.95,124.0,873.0,60.9,25.0,129.0,Google VertexAI
-119,chat-bison (PaLM 2),night,2.460119960308075,2.13185977935791,4.069646596908569,381.92,124.0,873.0,60.94,25.0,129.0,Google VertexAI
-120,chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,2.3653366565704346,73.6822509765625,335.75,124.0,607.0,53.85,25.0,91.0,Google VertexAI
-121,chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,2.2696146965026855,58.11552977561951,335.75,124.0,607.0,53.85,25.0,91.0,Google VertexAI
-122,chat-bison-32k (PaLM 2 32K),afternoon,4.637674991688673,1.7499048709869385,56.01672887802124,339.73359073359075,0.0,1405.0,49.37065637065637,0.0,160.0,Google VertexAI
-123,chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,2.5358686447143555,54.873910903930664,348.65909090909093,107.0,1405.0,48.35454545454545,5.0,160.0,Google VertexAI
-124,chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,1.9094345569610596,71.89037847518921,329.46,124.0,1405.0,49.5,6.0,91.0,Google VertexAI
-125,chat-bison-32k (PaLM 2 32K),late evening,7.431327997140549,2.328852415084839,74.75657105445862,350.40201005025125,107.0,1405.0,47.81909547738694,5.0,160.0,Google VertexAI
-126,chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,2.1571295261383057,79.42942953109741,335.75,124.0,607.0,53.85,25.0,91.0,Google VertexAI
-127,chat-bison-32k (PaLM 2 32K),night,6.491292915344238,2.1961522102355957,64.5129017829895,335.75,124.0,607.0,53.85,25.0,91.0,Google VertexAI
-128,gemini-pro,early morning,2.7453590130460435,1.9099113941192627,4.615639686584473,386.7463768115942,158.0,849.0,61.84782608695652,21.0,125.0,Google VertexAI
-129,gemini-pro,morning,2.497767536007628,1.8429582118988037,3.7975666522979736,379.5204081632653,154.0,974.0,60.60204081632653,27.0,166.0,Google VertexAI
-130,gemini-pro,afternoon,2.816922114008949,1.8365321159362793,11.142733573913574,372.07142857142856,85.0,781.0,54.948412698412696,4.0,137.0,Google VertexAI
-131,gemini-pro,late afternoon,2.9268629640903114,1.6890861988067627,7.8114728927612305,378.3301886792453,117.0,868.0,51.990566037735846,1.0,137.0,Google VertexAI
-132,gemini-pro,evening,2.86901999375759,1.938537836074829,8.93311882019043,375.79487179487177,93.0,879.0,56.45641025641026,4.0,135.0,Google VertexAI
-133,gemini-pro,late evening,3.7189874940246117,1.8872959613800049,19.177364349365234,417.7709923664122,120.0,3077.0,54.87786259541985,1.0,494.0,Google VertexAI
-134,gemini-pro,midnight,3.338477972348531,1.8768093585968018,13.734686613082886,394.48,58.0,1044.0,59.64,4.0,159.0,Google VertexAI
-135,gemini-pro,night,2.8375814715210272,1.851557731628418,8.02761721611023,382.44897959183675,189.0,647.0,61.265306122448976,32.0,101.0,Google VertexAI
-136,gpt-3.5-turbo,early morning,3.884872453212738,1.044034481048584,25.384448051452637,397.935,45.0,2089.0,47.315,1.0,235.0,OpenAI
-137,gpt-3.5-turbo,morning,3.126271222697364,1.1247034072875977,27.072819709777832,389.9888888888889,72.0,2518.0,50.93888888888889,1.0,283.0,OpenAI
-138,gpt-3.5-turbo,afternoon,3.9458200880459375,0.9733002185821533,29.636699676513672,381.4428571428571,47.0,1516.0,43.76190476190476,1.0,189.0,OpenAI
-139,gpt-3.5-turbo,late afternoon,4.384064777692159,1.116605520248413,28.255154848098755,396.4357142857143,39.0,2234.0,43.28333333333333,1.0,306.0,OpenAI
-140,gpt-3.5-turbo,evening,3.5153889304115657,0.9087526798248291,29.323059797286987,385.18095238095236,39.0,2382.0,46.01428571428571,1.0,266.0,OpenAI
-141,gpt-3.5-turbo,late evening,4.166355226842148,0.8945813179016113,32.65510892868042,425.5339652448657,49.0,2333.0,45.62875197472354,1.0,284.0,OpenAI
-142,gpt-3.5-turbo,midnight,3.822115447632102,0.8915491104125977,29.661185264587402,430.02713178294573,7.0,2092.0,49.43023255813954,1.0,345.0,OpenAI
-143,gpt-3.5-turbo,night,3.7583211977969726,1.0493357181549072,28.81316113471985,418.4942084942085,67.0,1952.0,44.81467181467181,1.0,239.0,OpenAI
-144,gpt-4,early morning,14.044063893556595,3.3942410945892334,50.56782078742981,328.725,86.0,720.0,41.66,1.0,115.0,OpenAI
-145,gpt-4,morning,12.759107512468733,4.081010580062866,49.05775475502014,340.07262569832403,83.0,602.0,47.11173184357542,1.0,94.0,OpenAI
-146,gpt-4,afternoon,16.002364798386893,4.019714117050171,71.8665201663971,318.3095238095238,74.0,786.0,38.77142857142857,1.0,118.0,OpenAI
-147,gpt-4,late afternoon,16.80607506932254,3.969972610473633,75.70255947113037,314.85885167464113,76.0,694.0,37.67224880382775,1.0,110.0,OpenAI
-148,gpt-4,evening,13.841120740345547,4.07988715171814,41.534831285476685,318.0809523809524,84.0,667.0,40.19285714285714,1.0,110.0,OpenAI
-149,gpt-4,late evening,14.135588308695096,2.7110557556152344,56.553797006607056,315.61971830985914,85.0,719.0,37.23138832997988,1.0,120.0,OpenAI
-150,gpt-4,midnight,12.3578163115329,2.3194186687469482,46.18606233596802,336.36842105263156,93.0,1060.0,41.63386727688787,1.0,167.0,OpenAI
-151,gpt-4,night,12.813134506115546,2.3531341552734375,65.33208322525024,316.93461538461537,81.0,618.0,37.93076923076923,1.0,107.0,OpenAI
-152,gpt-4-turbo,early morning,9.229236473940839,1.2326269149780273,62.002402544021606,332.75757575757575,2.0,3064.0,44.28787878787879,0.0,491.0,OpenAI
-153,gpt-4-turbo,morning,8.381914901462467,1.2959718704223633,55.72310924530029,338.22159090909093,2.0,2407.0,51.28977272727273,0.0,382.0,OpenAI
-154,gpt-4-turbo,afternoon,11.318254935023296,1.331334114074707,77.09595465660095,343.74939759036147,1.0,3169.0,46.2144578313253,0.0,472.0,OpenAI
-155,gpt-4-turbo,late afternoon,11.024975039472627,1.437279462814331,65.85150051116943,342.29353233830847,2.0,3446.0,45.16417910447761,0.0,502.0,OpenAI
-156,gpt-4-turbo,evening,10.294425025763593,1.4023358821868896,79.08030676841736,359.74695863746956,3.0,4617.0,47.38929440389295,0.0,472.0,OpenAI
-157,gpt-4-turbo,late evening,9.514694256112435,1.1116414070129395,78.97449040412903,353.9368635437882,1.0,3581.0,45.54175152749491,0.0,554.0,OpenAI
-158,gpt-4-turbo,midnight,9.439968414174492,1.2613868713378906,78.63678312301636,363.84988452655887,2.0,3370.0,47.01154734411085,0.0,473.0,OpenAI
-159,gpt-4-turbo,night,7.816354261556633,1.3317677974700928,52.49111771583557,333.12252964426875,2.0,3221.0,46.92885375494071,0.0,473.0,OpenAI
-160,llama-2-70b-chat,early morning,2.8660141522424265,1.683544397354126,6.075578689575195,355.7280701754386,211.0,582.0,54.78947368421053,31.0,102.0,Together AI
-161,llama-2-70b-chat,morning,2.872361832027194,1.5270755290985107,5.8158605098724365,358.67088607594934,211.0,582.0,55.0,31.0,102.0,Together AI
-162,llama-2-70b-chat,afternoon,4.234376892130426,1.5692036151885986,16.153216123580933,415.3872340425532,65.0,1360.0,61.11489361702127,2.0,220.0,Together AI
-163,llama-2-70b-chat,late afternoon,3.6833307104881365,1.5582563877105713,23.04676628112793,481.8484848484849,65.0,2621.0,66.05050505050505,1.0,435.0,Together AI
-164,llama-2-70b-chat,evening,2.9706250462084185,1.680816650390625,8.144080400466919,350.54696132596683,65.0,759.0,52.3756906077348,2.0,124.0,Together AI
-165,llama-2-70b-chat,late evening,4.3372269847176295,0.9715635776519775,23.42638874053955,597.4690909090909,0.0,7395.0,84.14909090909092,0.0,1278.0,Together AI
-166,llama-2-70b-chat,midnight,3.249819871626402,1.1929240226745605,10.860423564910889,365.14473684210526,0.0,855.0,54.80921052631579,0.0,136.0,Together AI
-167,llama-2-70b-chat,night,2.8264514451677147,1.512779712677002,5.105381965637207,356.4886363636364,211.0,582.0,55.02272727272727,31.0,102.0,Together AI
-168,zephyr-7b-beta,early morning,3.937663261095683,0.7500736713409424,5.431238174438477,273.03333333333336,0.0,473.0,43.45,0.0,75.0,Hugging Face Inference Endpoint
-169,zephyr-7b-beta,morning,4.056525647640228,3.4508540630340576,4.232520341873169,386.3,278.0,473.0,63.35,51.0,75.0,Hugging Face Inference Endpoint
-170,zephyr-7b-beta,afternoon,3.5789777278900146,0.7476871013641357,4.351201772689819,277.6,0.0,490.0,44.016666666666666,0.0,75.0,Hugging Face Inference Endpoint
-171,zephyr-7b-beta,late afternoon,3.4592524923459447,0.7312085628509521,4.547306537628174,251.1010101010101,0.0,490.0,39.292929292929294,0.0,75.0,Hugging Face Inference Endpoint
-172,zephyr-7b-beta,evening,3.5673056403795878,0.7499518394470215,4.394542217254639,273.3666666666667,0.0,473.0,43.5,0.0,75.0,Hugging Face Inference Endpoint
-173,zephyr-7b-beta,late evening,2.845338335577047,0.7462735176086426,4.675246477127075,174.874213836478,0.0,490.0,26.955974842767297,0.0,75.0,Hugging Face Inference Endpoint
-174,zephyr-7b-beta,midnight,3.7253047794103624,0.7638051509857178,8.057972431182861,217.82083333333333,0.0,490.0,33.67916666666667,0.0,75.0,Hugging Face Inference Endpoint
-175,zephyr-7b-beta,night,3.6954557319482166,0.76888108253479,5.414386987686157,216.55833333333334,0.0,473.0,33.46666666666667,0.0,75.0,Hugging Face Inference Endpoint
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+4,01-ai Yi Chat (34B),evening,8.16779062861488,3.7767345905303955,4.79024338722229,9.425769329071045,13.293262481689453,412.3809523809524,297.0,425.0,471.0,481.0,45.0,16.0,16.0,59.0,82.0,Together AI
+5,01-ai Yi Chat (34B),late evening,9.680033167203268,4.015563917160034,5.033138418197632,11.343994951248169,15.70482234954834,424.5,328.6,425.0,471.0,483.0,40.875,15.0,16.0,51.0,82.0,Together AI
+6,01-ai Yi Chat (34B),midnight,9.311747227774726,4.052314758300781,4.877615356445313,10.888091945648194,15.254117584228515,423.53333333333336,338.2,425.0,471.0,483.0,43.111111111111114,15.0,16.0,59.0,82.0,Together AI
+7,01-ai Yi Chat (34B),night,9.625520552260966,3.8614964962005613,5.0270007133483885,11.518787574768066,15.092712736129762,426.9493670886076,339.0,425.0,470.8,485.0,41.9746835443038,15.0,16.0,59.0,80.80000000000001,Together AI
+8,Chronos Hermes (13B),early morning,8.063542557544396,2.4645144939422607,2.6510868072509766,2.99411678314209,15.657413005828857,549.4426229508197,322.0,358.0,375.0,609.0,59.114754098360656,20.0,55.0,55.0,66.0,Together AI
+9,Chronos Hermes (13B),morning,6.32047438621521,2.6101768970489503,3.704946565628052,4.96811203956604,8.575554895401002,586.09375,323.8,412.20000000000005,543.4,746.0,75.0625,44.60000000000001,59.2,67.8,92.80000000000004,Together AI
+10,Chronos Hermes (13B),afternoon,6.651120054020601,2.548703145980835,3.27475643157959,5.613623809814453,9.93179965019226,609.3176470588236,322.0,389.8,544.4,745.0,85.95294117647059,30.600000000000005,56.2,75.19999999999999,105.4,Together AI
+11,Chronos Hermes (13B),late afternoon,7.630303209478205,2.3594475746154786,2.6113294124603272,2.7819708824157714,10.656519556045534,594.1363636363636,322.0,338.2,375.0,1177.0,68.54545454545455,25.0,55.0,59.8,66.0,Together AI
+12,Chronos Hermes (13B),evening,6.468730966250102,2.5155254364013673,2.6828935623168944,2.8508810520172116,8.361930227279663,603.3888888888889,325.0,358.0,375.0,949.8000000000009,80.16666666666667,55.0,55.0,63.0,66.0,Together AI
+13,Chronos Hermes (13B),late evening,7.710561646355523,2.572637176513672,2.74330358505249,2.978392314910889,12.687815237045296,517.1666666666666,323.2,351.40000000000003,375.0,609.0,56.611111111111114,22.0,55.0,56.599999999999994,64.80000000000001,Together AI
+14,Chronos Hermes (13B),midnight,7.710010987520218,2.3319817066192625,2.5218401908874513,2.825849103927612,11.518855381011978,559.5,322.0,344.80000000000007,375.0,1177.0,63.175,24.000000000000004,55.0,58.19999999999999,66.0,Together AI
+15,Chronos Hermes (13B),night,16.544231017430622,2.443719482421875,2.8155813694000242,3.634097862243652,16.203236627578736,586.28,322.0,348.8,375.0,1177.0,68.62666666666667,25.0,55.0,63.0,66.0,Together AI
+16,Falcon Instruct (7B),early morning,1.2471453740046574,0.43880372047424315,0.6281569957733154,0.8937359809875486,1.824258041381836,51.276923076923076,3.0,3.0,83.0,86.0,9.492307692307692,1.0,1.0,14.0,17.0,Together AI
+17,Falcon Instruct (7B),morning,1.4012710821060907,0.44109678268432617,0.6249697208404541,1.7307429313659668,1.833695650100708,54.04761904761905,3.0,73.0,83.0,86.0,10.0,1.0,14.0,14.0,17.0,Together AI
+18,Falcon Instruct (7B),afternoon,1.5774729509611387,0.49752764701843266,0.7844372272491456,1.694784927368164,1.9687790870666506,47.95945945945946,3.0,33.20000000000002,77.0,84.0,9.108108108108109,1.0,6.0,14.0,16.0,Together AI
+19,Falcon Instruct (7B),late afternoon,1.0884015900748116,0.44518136978149414,0.5059421062469482,0.6950340270996094,1.7596561908721924,50.095238095238095,3.0,3.0,83.0,84.0,9.333333333333334,1.0,1.0,14.0,17.0,Together AI
+20,Falcon Instruct (7B),evening,0.7874892950057983,0.43637809753417967,0.47094168663024905,0.6579598426818848,0.7088933944702148,43.55555555555556,3.0,3.0,73.0,83.6,8.222222222222221,1.0,1.0,14.0,16.200000000000003,Together AI
+21,Falcon Instruct (7B),late evening,1.2339241071180864,0.4471440315246582,0.5254935741424561,1.5033053874969482,1.8500621318817139,51.04545454545455,3.0,31.000000000000025,83.0,85.6,9.5,1.0,6.200000000000005,14.0,16.6,Together AI
+22,Falcon Instruct (7B),midnight,0.9382020387894068,0.440291166305542,0.6245289802551269,0.697472095489502,1.158624267578125,47.43589743589744,3.0,3.0,73.0,84.0,8.948717948717949,1.0,1.0,14.0,17.0,Together AI
+23,Falcon Instruct (7B),night,1.2997726936862892,0.4490640163421631,0.6728991985321046,1.1550201416015622,1.866230630874634,51.56164383561644,3.0,3.0,83.0,86.0,9.575342465753424,1.0,1.0,14.0,17.0,Together AI
+24,LLaMA-2 Chat (7B),early morning,2.8209988124230327,2.186510753631592,2.31485333442688,2.902680778503418,3.3846433639526365,470.8970588235294,326.0,382.0,390.0,576.0,64.42647058823529,11.0,59.0,61.0,99.0,Together AI
+25,LLaMA-2 Chat (7B),morning,2.3254783834729875,1.7513995170593262,2.1321896076202393,2.3646205425262448,2.8455467700958255,506.7142857142857,363.8,416.40000000000003,509.59999999999997,621.2,70.88888888888889,52.6,61.0,73.19999999999999,97.0,Together AI
+26,LLaMA-2 Chat (7B),afternoon,3.5475496424569024,2.2166762828826903,2.4947509288787844,3.18677978515625,4.409502410888672,509.81111111111113,325.0,387.6,512.8,636.2000000000002,56.67777777777778,11.8,39.00000000000002,66.0,93.80000000000001,Together AI
+27,LLaMA-2 Chat (7B),late afternoon,2.7755608558654785,2.1486106395721434,2.3446810245513916,3.1260400295257567,3.501351308822632,506.4117647058824,326.0,350.20000000000005,436.0,576.0,73.11764705882354,56.0,59.0,64.6,99.0,Together AI
+28,LLaMA-2 Chat (7B),evening,2.9608939344232734,2.1979090213775634,2.286650037765503,3.350849914550781,4.046070337295532,471.59090909090907,326.0,350.20000000000005,390.0,576.0,68.0,56.0,59.0,64.6,99.0,Together AI
+29,LLaMA-2 Chat (7B),late evening,2.869330001913983,2.20103497505188,2.3568904876708983,2.9004031658172607,3.4293576717376713,472.39130434782606,326.0,371.40000000000003,399.2,576.0,65.82608695652173,29.000000000000014,59.0,62.199999999999996,99.0,Together AI
+30,LLaMA-2 Chat (7B),midnight,2.8870244533457656,2.1818199157714844,2.3481732845306396,3.0668535232543945,3.816838264465333,470.468085106383,326.0,382.0,390.0,576.0,64.51063829787235,11.0,59.0,61.0,99.0,Together AI
+31,LLaMA-2 Chat (7B),night,4.6455250724417265,2.110830783843994,2.762953281402588,3.8129801750183105,5.8875720500946045,453.88524590163934,326.0,382.0,390.0,576.0,62.39344262295082,11.0,59.0,61.0,99.0,Together AI
+32,Mistral (7B) Instruct v0.2 (Together AI),early morning,3.627201789248306,1.9568378925323486,2.339451122283936,3.372861623764038,4.58324556350708,547.0530973451328,294.0,345.0,416.0,514.0,69.01769911504425,6.0,50.0,59.0,73.0,Together AI
+33,Mistral (7B) Instruct v0.2 (Together AI),morning,3.4576284369906864,1.9805867671966553,2.479144334793091,3.364946126937866,4.417264699935913,562.1981981981982,313.0,394.0,469.0,671.0,74.25225225225225,45.0,59.0,68.0,92.0,Together AI
+34,Mistral (7B) Instruct v0.2 (Together AI),afternoon,3.255509059895914,1.170797872543335,1.7924258708953857,2.6285008907318117,4.487909364700319,514.8994708994709,294.0,345.0,449.0,547.0,64.97883597883597,39.0,50.0,67.6,74.0,Together AI
+35,Mistral (7B) Instruct v0.2 (Together AI),late afternoon,3.542298033617545,1.7197493076324464,2.296134614944458,3.5079473495483393,4.537663221359255,567.1449275362319,301.20000000000005,345.0,421.0,514.0,68.5072463768116,7.200000000000003,48.400000000000006,60.0,73.0,Together AI
+36,Mistral (7B) Instruct v0.2 (Together AI),evening,5.496347131400273,2.0290706157684326,2.284267807006836,3.367908000946045,6.334114122390747,542.4827586206897,298.8,345.0,417.0,514.0,68.17241379310344,24.600000000000012,50.0,60.0,73.0,Together AI
+37,Mistral (7B) Instruct v0.2 (Together AI),late evening,3.3933188574654713,1.5389206886291504,2.3081408977508544,3.2702637195587156,4.495786094665528,556.1746031746031,313.0,345.0,450.0,514.0,71.73015873015873,45.0,50.0,68.0,73.0,Together AI
+38,Mistral (7B) Instruct v0.2 (Together AI),midnight,4.510189438914205,2.221144199371338,2.746429681777954,3.95231556892395,5.9356536865234375,545.7692307692307,294.0,345.0,416.0,514.0,68.74725274725274,6.0,50.0,59.0,73.0,Together AI
+39,Mistral (7B) Instruct v0.2 (Together AI),night,3.5451678467578573,1.7408261299133303,2.261455821990967,3.3799757957458496,4.892568922042848,533.1065573770492,294.0,345.0,416.0,514.0,66.94262295081967,6.0,50.0,59.0,73.0,Together AI
+40,Mistral-7B-Instruct-v0.2,early morning,4.625752210617065,4.575008821487427,4.661143350601196,4.697483682632447,4.74144606590271,214.0,97.0,99.0,282.0,339.0,29.75,3.0,5.0,48.0,59.0,Hugging Face Inference Endpoint
+41,Mistral-7B-Instruct-v0.2,morning,3.734026002883911,3.334194850921631,3.6873255729675294,4.045523738861084,4.105937862396241,362.9,294.4,337.6,395.6,431.0,58.35,48.8,53.6,60.4,70.0,Hugging Face Inference Endpoint
+42,Mistral-7B-Instruct-v0.2,afternoon,3.228973722457886,0.8020155429840088,3.8286522388458253,4.1212786674499515,4.287619972229004,222.0625,0.0,102.0,304.4,421.2,32.25,0.0,3.0,50.8,66.2,Hugging Face Inference Endpoint
+43,Mistral-7B-Instruct-v0.2,late afternoon,3.2048643112182615,0.838294506072998,3.8415285110473634,4.12097692489624,4.237715482711792,219.8625,0.0,101.6,304.4,421.2,31.8,0.0,3.0,50.8,66.2,Hugging Face Inference Endpoint
+44,Mistral-7B-Instruct-v0.2,evening,3.397640073299408,3.0089535236358644,3.560943269729614,4.059507369995117,4.1680100440979,261.18333333333334,97.0,275.20000000000005,333.4,410.00000000000006,40.1,3.0,46.400000000000006,53.4,68.0,Hugging Face Inference Endpoint
+45,Mistral-7B-Instruct-v0.2,late evening,3.389284573495388,0.854732084274292,2.315276288986208,4.109760761260986,4.2783270359039305,175.79375,0.0,51.60000000000012,262.0,398.0,25.68125,0.0,1.8000000000000043,42.0,62.2,Hugging Face Inference Endpoint
+46,Mistral-7B-Instruct-v0.2,midnight,2.6972494465964183,0.8847384929656983,0.9363711833953857,4.271179580688477,4.602821731567383,88.14285714285714,0.0,0.0,97.2,102.0,10.607142857142858,0.0,0.0,3.0,5.0,Hugging Face Inference Endpoint
+47,Mistral-7B-Instruct-v0.2,night,4.609350740909576,4.585418796539306,4.647099351882934,4.686774873733521,4.740107870101928,214.0,97.0,99.0,282.0,339.0,29.75,3.0,5.0,48.0,59.0,Hugging Face Inference Endpoint
+48,Mixtral-8x7B-Instruct-v0.1,early morning,4.526968242530536,1.8919459342956544,2.3256708145141602,3.0963687896728516,5.805924749374391,428.6390977443609,300.0,386.0,434.8,468.0,62.94736842105263,43.0,57.0,66.0,74.0,Together AI
+49,Mixtral-8x7B-Instruct-v0.1,morning,3.786775301242697,1.9155490398406982,2.4697306156158447,3.0977609157562256,4.808599472045898,457.4655172413793,303.0,408.0,457.0,537.0,67.56896551724138,48.0,59.0,69.0,78.0,Together AI
+50,Mixtral-8x7B-Instruct-v0.1,afternoon,5.362903979589355,2.0265902519226073,2.7234819412231444,5.094383001327515,8.19847416877747,452.938679245283,300.0,388.80000000000007,457.0,546.0,66.66037735849056,43.0,58.20000000000002,69.0,88.80000000000001,Together AI
+51,Mixtral-8x7B-Instruct-v0.1,late afternoon,5.80184749175942,2.1974987030029296,3.0992554187774655,5.215971851348877,7.946981716156006,418.3224043715847,298.0,380.79999999999995,433.0,490.0,56.830601092896174,33.99999999999999,48.0,63.400000000000006,77.0,Together AI
+52,Mixtral-8x7B-Instruct-v0.1,evening,3.6435119574237023,1.9721095561981201,2.4149227619171145,3.1797213077545163,4.92767472267151,416.1656050955414,298.0,385.4,433.0,487.0,61.84076433121019,41.0,55.20000000000002,66.0,76.40000000000003,Together AI
+53,Mixtral-8x7B-Instruct-v0.1,late evening,5.62397656769588,1.9343807697296143,2.408257007598877,4.018872165679931,7.493381118774417,476.91379310344826,300.0,376.6000000000001,448.4,589.0,59.172413793103445,7.200000000000003,46.0,62.0,84.80000000000007,Together AI
+54,Mixtral-8x7B-Instruct-v0.1,midnight,4.639010797279158,1.9257502079010012,2.5336658000946044,3.8406158924102782,6.568124961853028,459.7565543071161,298.0,376.80000000000007,457.0,612.0,60.760299625468164,15.0,48.0,66.0,96.60000000000002,Together AI
+55,Mixtral-8x7B-Instruct-v0.1,night,4.009439338194697,1.9190558910369873,2.3876732349395753,3.3867024421691894,6.5049797534942675,436.0131578947368,298.0,375.2000000000001,438.4,492.0,61.10526315789474,33.000000000000014,54.0,66.0,79.60000000000002,Together AI
+56,OpenHermes-2.5-Mistral (7B),early morning,2.8495449788040585,2.0497443675994873,2.3496197700500487,2.9056718826293944,3.602103996276857,281.0416666666667,144.0,287.0,343.0,371.0,32.125,4.0,7.0,57.0,62.0,Together AI
+57,OpenHermes-2.5-Mistral (7B),morning,2.5861338563263416,1.9361390113830566,2.341088151931763,2.7727932929992676,3.219662952423097,385.78125,280.6,344.0,376.4,487.6,51.40625,27.000000000000014,54.400000000000006,58.8,66.20000000000002,Together AI
+58,OpenHermes-2.5-Mistral (7B),afternoon,3.382803752858152,1.9604182720184327,2.2988375663757323,2.848426008224487,3.8551052570343027,369.35483870967744,159.00000000000006,286.8,349.2,475.8,33.8494623655914,4.0,6.6000000000000085,49.0,63.60000000000001,Together AI
+59,OpenHermes-2.5-Mistral (7B),late afternoon,2.52796063820521,1.68584885597229,2.1943514347076416,2.7274121284484862,3.434289741516114,281.125,144.0,287.0,343.0,371.0,32.125,4.0,7.0,57.0,62.0,Together AI
+60,OpenHermes-2.5-Mistral (7B),evening,2.7269538966092197,2.242070960998535,2.4532580852508543,2.736237621307373,3.264935827255249,277.1818181818182,144.0,287.0,343.0,348.0,29.363636363636363,4.0,5.200000000000001,57.0,58.0,Together AI
+61,OpenHermes-2.5-Mistral (7B),late evening,2.720560759305954,2.250868368148804,2.5327273845672607,2.8688658714294433,3.159437894821168,281.125,144.0,287.0,343.0,371.0,32.125,4.0,7.0,57.0,62.0,Together AI
+62,OpenHermes-2.5-Mistral (7B),midnight,2.8086547496470997,2.0280110836029053,2.6033748626708983,2.958510684967041,3.4229323863983154,279.27659574468083,144.0,287.0,343.0,371.0,31.48936170212766,4.0,7.0,57.0,62.0,Together AI
+63,OpenHermes-2.5-Mistral (7B),night,2.7470715910196306,1.8118998527526855,2.4643975257873536,2.7990838527679442,3.451723146438599,281.275,144.0,287.0,343.0,371.0,32.1,4.0,7.0,57.0,62.0,Together AI
+64,Qwen 1.5 Chat (7B),early morning,2.167507814036475,1.3716964721679688,1.9782586574554444,2.1421773433685303,2.5200764179229735,269.0416666666667,183.0,236.0,296.0,368.0,30.125,1.0,4.0,49.0,62.0,Together AI
+65,Qwen 1.5 Chat (7B),morning,2.2512709980919245,1.4333404064178468,1.9432880401611328,2.1577938556671143,2.521956014633179,424.77777777777777,250.4,309.6,397.59999999999997,496.0,55.73015873015873,27.400000000000006,49.0,57.39999999999999,67.6,Together AI
+66,Qwen 1.5 Chat (7B),afternoon,2.539412996504042,1.8534220695495607,2.05458722114563,2.2894588470458985,3.316272544860841,360.26666666666665,197.6,299.0,342.4,442.6,39.03333333333333,3.0,4.0,52.0,67.0,Together AI
+67,Qwen 1.5 Chat (7B),late afternoon,2.0715979735056558,1.4847597122192382,1.9961623191833497,2.1920745372772217,2.350381946563721,269.0,183.0,236.0,296.0,368.0,30.125,1.0,4.0,49.0,62.0,Together AI
+68,Qwen 1.5 Chat (7B),evening,2.325377941131592,1.5857502937316896,2.07436785697937,2.1726004600524904,2.583091640472412,266.59090909090907,183.0,236.0,296.0,355.40000000000003,29.727272727272727,1.6000000000000005,4.0,49.0,59.400000000000006,Together AI
+69,Qwen 1.5 Chat (7B),late evening,1.9339114997697913,1.3509828567504882,1.4851758480072021,2.1028024196624755,2.3062386512756348,264.69565217391306,183.0,226.20000000000005,296.0,342.80000000000007,28.73913043478261,1.0,4.0,49.0,58.40000000000001,Together AI
+70,Qwen 1.5 Chat (7B),midnight,2.2824907505765872,1.469894313812256,2.006262016296387,2.2383018493652345,2.56543288230896,267.72340425531917,183.0,236.0,296.0,368.0,29.638297872340427,1.0,4.0,49.0,62.0,Together AI
+71,Qwen 1.5 Chat (7B),night,1.98169333812518,1.2986116886138916,1.5336131572723388,2.126609468460083,2.4843666553497314,269.2692307692308,183.0,236.0,296.0,368.0,30.17948717948718,1.0,4.0,49.0,62.0,Together AI
+72,RedPajama-INCITE Chat (7B),early morning,2.149312309920788,1.0630450248718262,2.0389476299285887,2.158130168914795,2.622494173049927,60.328125,54.0,54.0,54.0,78.0,5.0,4.0,5.0,5.0,5.0,Together AI
+73,RedPajama-INCITE Chat (7B),morning,1.4803865485721164,0.9543989181518555,1.0027932167053222,1.5951005458831768,2.1152745723724364,59.01587301587302,54.0,54.0,54.0,68.0,5.412698412698413,5.0,5.0,5.0,5.0,Together AI
+74,RedPajama-INCITE Chat (7B),afternoon,1.8110081959854474,1.0464420795440674,1.3511402606964111,2.065592861175537,2.2278335571289065,62.96590909090909,54.0,54.0,57.0,78.0,5.784090909090909,4.0,5.0,5.0,7.0,Together AI
+75,RedPajama-INCITE Chat (7B),late afternoon,1.7436921298503876,1.0311846733093262,2.0036316871643067,2.0985609531402587,2.2179235458374023,59.625,54.0,54.0,54.0,78.0,5.0,4.0,5.0,5.0,5.0,Together AI
+76,RedPajama-INCITE Chat (7B),evening,1.964497913013805,1.0379676342010498,2.0008397102355957,2.0600441455841065,2.1418700218200684,60.13636363636363,54.0,54.0,54.0,78.0,5.0,4.0,5.0,5.0,5.0,Together AI
+77,RedPajama-INCITE Chat (7B),late evening,2.258105857031686,1.0331692695617676,2.0418362617492676,2.116027593612671,3.810591220855713,60.42857142857143,54.0,54.0,54.0,78.0,5.0,4.0,5.0,5.0,5.0,Together AI
+78,RedPajama-INCITE Chat (7B),midnight,2.072928147845798,1.0425399780273437,2.0462307929992676,2.123409461975098,2.2389921665191657,60.0,54.0,54.0,54.0,78.0,5.0,4.0,5.0,5.0,5.0,Together AI
+79,RedPajama-INCITE Chat (7B),night,2.0220184448437815,1.0452874660491944,2.007957410812378,2.078788995742798,2.2428071022033693,59.96153846153846,54.0,54.0,54.0,78.0,5.064102564102564,4.0,5.0,5.0,5.0,Together AI
+80,Snorkel Mistral PairRM DPO (7B),early morning,20.892576156343733,2.556242084503174,3.7271701335906986,5.358461332321166,8.898035669326783,4378.842857142857,464.0,845.0,1088.0,1251.0,103.32857142857142,71.0,80.0,105.0,133.0,Together AI
+81,Snorkel Mistral PairRM DPO (7B),morning,14.711059410125017,4.0283173561096195,4.922686767578125,5.645612335205078,7.975491571426393,3375.03125,926.6000000000001,1151.0,1374.1999999999998,1953.2000000000003,202.640625,105.0,159.0,185.6,235.2000000000001,Together AI
+82,Snorkel Mistral PairRM DPO (7B),afternoon,34.586263124148054,2.558345317840576,4.329371929168701,6.282438659667968,15.324156856536867,6091.4111111111115,657.0,888.2,1251.0,2315.0,577.1555555555556,75.4,104.6,138.0,230.80000000000007,Together AI
+83,Snorkel Mistral PairRM DPO (7B),late afternoon,22.353231539328892,2.429702568054199,3.603127813339234,5.212990999221802,8.90522346496582,4714.0,464.0,845.0,1088.0,1251.0,104.375,71.0,80.0,105.0,133.0,Together AI
+84,Snorkel Mistral PairRM DPO (7B),evening,24.748520737602597,2.34138822555542,3.571380853652954,5.162211179733276,8.841630220413208,5253.047619047619,464.0,845.0,1088.0,1251.0,105.52380952380952,71.0,80.0,105.0,133.0,Together AI
+85,Snorkel Mistral PairRM DPO (7B),late evening,24.120955445549704,2.325694036483765,3.240026903152466,5.769892024993896,8.792698669433594,5043.636363636364,464.0,773.6,1091.6,1251.0,97.77272727272727,71.0,77.6,105.0,123.0,Together AI
+86,Snorkel Mistral PairRM DPO (7B),midnight,22.670283652366475,2.323270893096924,3.7170748710632333,5.51384973526001,8.769575691223144,4791.148936170212,464.0,845.0,1088.0,1251.0,102.82978723404256,71.0,80.0,105.0,133.0,Together AI
+87,Snorkel Mistral PairRM DPO (7B),night,21.554972467422484,2.380740785598755,3.338300323486328,5.203608655929566,8.923078727722169,4539.253333333333,464.0,797.4000000000002,1088.0,1251.0,101.45333333333333,71.0,78.4,105.0,133.0,Together AI
+88,TinyLlama/TinyLlama-1.1B-Chat-v1.0,early morning,2.0273348593711855,1.900433397293091,1.9704366207122803,2.0509723663330077,2.1658658027648925,372.13,334.0,350.0,396.0,420.20000000000005,62.53,57.8,61.0,63.4,72.0,Hugging Face Inference Endpoint
+89,TinyLlama/TinyLlama-1.1B-Chat-v1.0,morning,1.9030630230903625,1.8348802089691163,1.8834499359130858,1.904430341720581,1.9469316005706787,358.875,310.6,342.0,394.0,415.4,59.5,48.8,59.0,62.4,71.0,Hugging Face Inference Endpoint
+90,TinyLlama/TinyLlama-1.1B-Chat-v1.0,afternoon,1.8381905496120452,1.8016767978668213,1.9038204669952392,1.9715147495269776,2.0281569480896,308.795,280.0,335.8,358.4,415.0,51.08,38.0,57.60000000000001,62.0,71.0,Hugging Face Inference Endpoint
+91,TinyLlama/TinyLlama-1.1B-Chat-v1.0,late afternoon,1.7547113946505954,1.7235632419586182,1.8873783588409423,1.9246160984039307,1.9911770820617676,285.17857142857144,85.2,334.0,354.4,412.6,46.9,3.8000000000000007,55.6,61.0,71.0,Hugging Face Inference Endpoint
+92,TinyLlama/TinyLlama-1.1B-Chat-v1.0,evening,1.7984187936782836,1.772254180908203,1.8798622608184814,1.9122614860534668,1.9810049057006835,313.99,280.0,338.0,359.0,417.0,51.96,38.0,59.0,62.0,72.0,Hugging Face Inference Endpoint
+93,TinyLlama/TinyLlama-1.1B-Chat-v1.0,late evening,1.5875422928068372,0.8799705028533936,1.675227117538452,1.9031693458557128,2.0034618377685547,192.78333333333333,0.0,76.20000000000002,318.0,363.0,31.261111111111113,0.0,3.0,54.0,62.0,Hugging Face Inference Endpoint
+94,TinyLlama/TinyLlama-1.1B-Chat-v1.0,midnight,1.6341248273849487,0.8688469886779785,1.912255334854126,2.0132920265197756,2.119899129867554,210.2,0.0,87.80000000000001,334.0,395.0,34.2,0.0,3.6000000000000014,57.4,63.2,Hugging Face Inference Endpoint
+95,TinyLlama/TinyLlama-1.1B-Chat-v1.0,night,2.0128010153770446,1.8813746452331543,1.9569619655609132,2.042378377914429,2.157229471206665,372.05,334.0,350.0,396.0,420.20000000000005,62.6,57.8,61.0,63.4,72.0,Hugging Face Inference Endpoint
+96,Vicuna v1.5 (7B),early morning,3.3891975168596233,1.60922212600708,2.0776685714721683,2.7636775970458984,5.4549774646759035,327.3157894736842,267.0,349.0,355.0,376.0,37.70175438596491,1.0,4.0,62.0,64.0,Together AI
+97,Vicuna v1.5 (7B),morning,3.4012709193759494,1.606896209716797,2.099214839935303,2.5562299728393554,4.044596385955811,388.4920634920635,268.4,349.0,376.0,443.8,50.38095238095238,28.8,48.0,61.0,66.0,Together AI
+98,Vicuna v1.5 (7B),afternoon,3.670576659115878,2.174506139755249,2.6995410442352297,3.5413179397583003,5.232729816436768,385.25,241.8,336.0,381.0,497.20000000000005,47.77272727272727,2.400000000000002,39.40000000000001,63.0,78.60000000000001,Together AI
+99,Vicuna v1.5 (7B),late afternoon,3.768600355495106,1.6033197879791259,2.519843244552612,3.867197561264038,5.926239156723023,324.27272727272725,278.40000000000003,349.0,354.6,376.0,35.77272727272727,4.0,4.0,61.6,64.0,Together AI
+100,Vicuna v1.5 (7B),evening,3.0816855430603027,1.6141672611236573,1.6617256164550782,3.833245277404785,4.436551856994629,329.0,289.8,354.0,355.0,376.0,42.833333333333336,2.200000000000001,61.0,62.0,64.0,Together AI
+101,Vicuna v1.5 (7B),late evening,3.779375910758972,1.6539848804473878,3.149325180053711,4.361717987060547,5.288036727905274,319.1363636363636,267.0,334.0,354.0,376.0,32.86363636363637,1.0,4.0,61.0,64.0,Together AI
+102,Vicuna v1.5 (7B),midnight,3.8164960656847273,1.6210388660430908,2.529152774810791,4.475259590148926,5.888407230377198,329.9047619047619,278.40000000000003,349.0,355.0,376.0,37.214285714285715,1.6000000000000032,4.0,62.0,64.0,Together AI
+103,Vicuna v1.5 (7B),night,3.648655335108439,1.6238388538360595,2.704656982421875,4.319886350631714,5.733144855499268,321.81944444444446,267.0,349.0,354.0,376.0,34.541666666666664,1.0,4.0,61.0,64.0,Together AI
+104,WizardLM v1.2 (13B),early morning,5.290586443914884,3.126491403579712,3.6899030685424807,5.478811454772949,7.6742314338684094,309.17391304347825,202.0,282.0,305.4,381.0,35.17391304347826,5.0,12.0,48.8,55.0,Together AI
+105,WizardLM v1.2 (13B),morning,5.899739087574066,3.329628658294678,3.9913763046264648,4.60016131401062,5.909883880615235,458.44444444444446,265.8,353.6,427.99999999999994,510.6,71.98412698412699,20.600000000000005,51.0,62.39999999999999,69.6,Together AI
+106,WizardLM v1.2 (13B),afternoon,7.0199061699127885,2.5672261238098146,4.129473257064819,5.420607757568359,8.864709854125977,338.5168539325843,119.0,246.2,311.0,514.2,30.03370786516854,2.0,7.0,22.19999999999999,62.400000000000006,Together AI
+107,WizardLM v1.2 (13B),late afternoon,4.935352149217025,2.9690490245819094,3.663859987258911,5.598448467254638,7.145665264129639,265.0869565217391,202.0,263.0,286.0,311.0,29.043478260869566,5.0,10.600000000000005,46.599999999999994,54.0,Together AI
+108,WizardLM v1.2 (13B),evening,4.939989816058766,2.9392529010772708,3.6680859565734862,5.270061779022217,7.265015745162964,262.1818181818182,202.0,263.0,279.6,311.0,28.136363636363637,5.0,7.8000000000000025,46.0,54.0,Together AI
+109,WizardLM v1.2 (13B),late evening,5.11581133660816,3.2692251205444336,3.8308560848236084,5.560052156448364,7.539101839065552,258.57142857142856,202.0,263.0,286.0,311.0,26.285714285714285,5.0,5.0,45.0,54.0,Together AI
+110,WizardLM v1.2 (13B),midnight,5.255108930847862,3.1566482543945313,4.014303731918335,5.88462200164795,7.7009649753570555,283.20454545454544,202.0,263.0,286.0,311.0,30.681818181818183,5.0,8.799999999999997,46.0,54.0,Together AI
+111,WizardLM v1.2 (13B),night,5.411002513689873,3.2144352436065673,3.8306023597717287,5.623324060440063,8.31432375907898,319.5128205128205,219.60000000000002,285.0,309.4,388.20000000000005,36.84615384615385,5.0,12.0,49.0,61.600000000000016,Together AI
+112,chat-bison (PaLM 2),early morning,2.4665334616388592,2.3049097537994383,2.37662878036499,2.4524997234344483,2.5413723945617677,381.9214285714286,271.2,330.8,407.5999999999997,468.40000000000003,60.892857142857146,43.400000000000006,56.0,65.19999999999997,71.80000000000001,Google VertexAI
+113,chat-bison (PaLM 2),morning,2.488477897644043,2.3304410934448243,2.3861887454986572,2.452661418914795,2.571202039718628,381.73,271.2,330.8,407.59999999999997,468.40000000000003,60.88,43.400000000000006,56.0,65.19999999999999,71.80000000000001,Google VertexAI
+114,chat-bison (PaLM 2),afternoon,2.6460144804074215,2.3701786041259765,2.4414886951446535,2.5810309410095216,2.809173345565796,376.28076923076924,258.0,329.0,392.0,482.0,55.965384615384615,25.0,50.0,64.0,75.0,Google VertexAI
+115,chat-bison (PaLM 2),late afternoon,3.0387172081253744,2.3950292110443114,2.5149539947509765,2.7947920322418214,3.3921805858612064,381.1363636363636,260.0,329.0,392.4,467.20000000000005,53.35454545454545,25.0,49.0,64.0,71.0,Google VertexAI
+116,chat-bison (PaLM 2),evening,2.688272579908371,2.3742778301239014,2.447777843475342,2.5543516635894776,2.8649479866027834,367.07,258.0,329.0,392.0,465.0,55.89,39.0,50.0,64.0,71.0,Google VertexAI
+117,chat-bison (PaLM 2),late evening,2.7250528037548065,2.364246368408203,2.4498497009277345,2.609333801269531,3.047693204879761,382.725,259.6,329.0,404.0,482.80000000000007,52.95,25.0,48.0,64.0,71.0,Google VertexAI
+118,chat-bison (PaLM 2),midnight,2.468383938074112,2.3290175914764406,2.387459325790405,2.430591583251953,2.5517006397247313,381.95,271.2,330.8,407.5999999999997,469.20000000000005,60.9,43.400000000000006,56.0,65.19999999999997,71.80000000000001,Google VertexAI
+119,chat-bison (PaLM 2),night,2.460119960308075,2.296553611755371,2.3889822006225585,2.43837251663208,2.540234899520874,381.92,271.2,330.8,407.59999999999997,469.20000000000005,60.94,43.400000000000006,56.0,65.19999999999999,71.80000000000001,Google VertexAI
+120,chat-bison-32k (PaLM 2 32K),early morning,9.141417106560299,2.6841554641723633,2.8603085041046143,3.1312095165252685,6.370184373855592,335.75,244.2,274.2,323.39999999999975,462.40000000000003,53.85,40.6,45.0,57.0,71.4,Google VertexAI
+121,chat-bison-32k (PaLM 2 32K),morning,7.7035503840446475,2.6868295669555664,2.860622835159302,3.1511935710906984,5.278187990188603,335.75,244.2,274.2,323.4,462.40000000000003,53.85,40.6,45.0,57.0,71.4,Google VertexAI
+122,chat-bison-32k (PaLM 2 32K),afternoon,5.014458654477046,2.7426559925079346,2.885803747177124,3.151959848403931,3.615654516220093,339.3692307692308,231.0,277.0,342.0,460.0,49.323076923076925,32.20000000000004,45.0,55.80000000000001,71.0,Google VertexAI
+123,chat-bison-32k (PaLM 2 32K),late afternoon,4.5047362284226855,2.7416682720184324,2.913498449325562,3.177761459350586,4.069248628616333,348.65909090909093,241.0,277.0,344.40000000000003,472.0,48.35454545454545,31.800000000000004,45.0,54.0,71.0,Google VertexAI
+124,chat-bison-32k (PaLM 2 32K),evening,7.7332194912433625,2.7396387577056887,2.947340488433838,3.21867995262146,5.093518543243415,329.46,239.00000000000006,270.0,311.0,460.0,49.5,37.0,45.0,57.0,71.0,Google VertexAI
+125,chat-bison-32k (PaLM 2 32K),late evening,7.796841062307358,2.7586358547210694,2.9897059917449953,3.3219719886779786,6.034687948226929,349.95,239.00000000000006,277.0,348.4,472.0,47.805,25.0,44.0,53.39999999999999,71.0,Google VertexAI
+126,chat-bison-32k (PaLM 2 32K),midnight,7.7498266498247785,2.6849449634552003,2.841596508026123,3.096329116821289,3.754457473754883,335.75,244.2,274.2,323.39999999999975,462.40000000000003,53.85,40.6,45.0,57.0,71.4,Google VertexAI
+127,chat-bison-32k (PaLM 2 32K),night,6.491292915344238,2.688665819168091,2.857192039489746,3.145037078857422,4.080263996124268,335.75,244.2,274.2,323.4,462.40000000000003,53.85,40.6,45.0,57.0,71.4,Google VertexAI
+128,gemini-pro,early morning,2.7453590130460435,2.2898879051208496,2.4930419921875,2.73421893119812,3.2018725395202643,386.7463768115942,292.0,332.8,387.2,486.0,61.84782608695652,48.0,54.0,61.2,76.0,Google VertexAI
+129,gemini-pro,morning,2.552263767664669,2.196598529815674,2.3861966133117676,2.5183777809143066,3.018606185913086,408.1297709923664,290.0,343.0,403.0,495.0,62.54961832061068,47.0,54.0,61.0,73.0,Google VertexAI
+130,gemini-pro,afternoon,2.816922114008949,2.2006062984466555,2.3862349510192873,2.6984471797943117,3.3357447147369386,372.07142857142856,275.2,324.8,382.2,476.20000000000005,54.948412698412696,41.0,51.0,62.0,75.0,Google VertexAI
+131,gemini-pro,late afternoon,2.9268629640903114,2.199513244628906,2.3799704551696776,2.582952356338501,3.5084349155426033,378.3301886792453,269.2,330.0,382.0,481.8,51.990566037735846,35.2,49.0,59.0,71.0,Google VertexAI
+132,gemini-pro,evening,2.86901999375759,2.314052677154541,2.5094053745269775,2.7460020065307615,3.2915334701538086,375.79487179487177,278.8,332.20000000000005,392.2,463.6,56.45641025641026,43.0,53.0,61.0,72.0,Google VertexAI
+133,gemini-pro,late evening,3.7189874940246117,2.372242975234985,2.7115640163421633,3.359907865524292,4.631186199188233,417.7709923664122,275.4,333.4,396.59999999999997,496.0,54.87786259541985,11.200000000000003,48.0,59.599999999999994,74.0,Google VertexAI
+134,gemini-pro,midnight,3.338477972348531,2.3561188220977782,2.54406418800354,2.85723443031311,3.655383348464966,394.48,283.8,329.6,387.2,485.6,59.64,43.8,53.0,61.39999999999999,75.2,Google VertexAI
+135,gemini-pro,night,2.8375814715210272,2.3033328533172606,2.471330404281616,2.8146450996398924,3.259158134460449,382.44897959183675,295.40000000000003,333.40000000000003,385.2,458.6,61.265306122448976,49.0,54.800000000000004,62.0,72.20000000000002,Google VertexAI
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+143,gpt-3.5-turbo,night,6.062970260473398,1.5983599185943604,1.9397829532623292,2.8167493820190432,5.2579593658447275,418.6192307692308,244.8,297.6,412.6,519.6,44.926923076923075,1.0,39.0,55.0,76.0,OpenAI
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+146,gpt-4,afternoon,16.002364798386893,8.038974475860597,10.440681934356691,14.344744396209716,24.78238425254822,318.3095238095238,214.0,281.6,330.0,412.8000000000002,38.77142857142857,1.0,41.0,53.0,65.20000000000005,OpenAI
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+148,gpt-4,evening,13.841120740345547,7.064423084259033,8.831003713607789,11.685237216949464,21.826131153106697,318.0809523809524,221.8,286.0,333.4,410.20000000000005,40.19285714285714,1.0,43.0,54.39999999999998,65.0,OpenAI
+149,gpt-4,late evening,14.298642643005493,6.543574333190918,8.919902849197388,12.943699979782105,23.03813428878784,315.5983935742972,215.0,273.8,330.0,419.0,37.16064257028113,1.0,26.000000000000284,53.0,67.0,OpenAI
+150,gpt-4,midnight,12.3578163115329,5.635044145584106,8.056099367141725,11.609123849868773,17.864221715927123,336.36842105263156,224.0,284.4,338.0,435.0,41.63386727688787,1.0,42.0,55.0,68.0,OpenAI
+151,gpt-4,night,12.813134506115546,6.1236782550811775,8.166000318527221,11.773015832901002,18.83016529083252,316.93461538461537,221.60000000000002,282.0,337.0,420.20000000000005,37.93076923076923,1.0,40.60000000000001,54.0,66.0,OpenAI
+152,gpt-4-turbo,early morning,11.142605865001679,3.9159236907958985,5.781412267684937,7.572056007385253,11.42907643318177,345.05,147.8,281.20000000000005,358.0,440.20000000000005,45.135,1.0,39.0,52.39999999999999,66.0,OpenAI
+153,gpt-4-turbo,morning,13.531417746977372,4.869662284851074,6.702779722213745,8.65960807800293,12.018202924728396,383.5863636363636,240.0,314.8,381.4,445.0,54.9,35.0,48.60000000000001,57.0,66.0,OpenAI
+154,gpt-4-turbo,afternoon,13.997754749229976,4.34612717628479,6.371346712112427,9.331586408615111,15.885145711898806,351.01190476190476,192.40000000000003,280.6,359.19999999999993,447.0,46.03333333333333,3.8000000000000114,39.60000000000002,53.0,67.20000000000005,OpenAI
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+156,gpt-4-turbo,evening,16.550320884159632,4.094121646881104,5.7816534519195555,7.8970251083374015,14.118882179260256,382.31666666666666,206.00000000000006,297.6,363.0,456.0,48.45,3.8000000000000114,42.0,55.0,69.20000000000005,OpenAI
+157,gpt-4-turbo,late evening,14.592236209392548,3.699828004837036,4.998922681808472,7.392157745361327,13.814279460906983,413.61,203.60000000000002,291.0,361.0,453.60000000000014,44.8,2.0,36.200000000000045,52.0,66.0,OpenAI
+158,gpt-4-turbo,midnight,13.770663784850727,3.6464269638061526,4.955322504043579,7.001602125167845,12.311533260345465,382.7613636363636,200.8,295.20000000000005,377.4,458.4000000000001,47.61818181818182,3.0,39.0,55.0,69.20000000000005,OpenAI
+159,gpt-4-turbo,night,14.254795966698573,3.4461984157562258,4.772410726547242,6.590600490570068,12.257953500747684,352.54615384615386,117.80000000000001,287.0,375.0,447.0,46.37692307692308,1.0,39.60000000000001,55.400000000000006,67.0,OpenAI
+160,llama-2-70b-chat,early morning,2.8660141522424265,2.252003002166748,2.5588028907775877,2.866885948181152,3.3538597583770753,355.7280701754386,281.0,303.0,349.0,469.0,54.78947368421053,43.0,46.0,51.0,71.0,Together AI
+161,llama-2-70b-chat,morning,2.6787980123728263,1.9940367698669434,2.3450462341308596,2.6430736064910887,3.3015005588531494,386.12605042016804,281.0,310.2,391.79999999999995,480.0,57.403361344537814,43.0,46.0,55.8,73.00000000000003,Together AI
+162,llama-2-70b-chat,afternoon,4.234376892130426,2.2855687141418457,2.7579305171966553,3.8900455951690676,6.170413398742677,415.3872340425532,255.0,303.0,376.0,553.0,61.11489361702127,34.0,46.0,62.0,81.2000000000001,Together AI
+163,llama-2-70b-chat,late afternoon,3.6833307104881365,2.2703349590301514,2.6599215507507323,3.1460047721862794,4.00149941444397,481.8484848484849,267.20000000000016,310.0,376.0,582.0,66.05050505050505,34.0,45.0,53.0,79.60000000000002,Together AI
+164,llama-2-70b-chat,evening,2.9706250462084185,2.3251545429229736,2.602426767349243,2.9736311435699463,3.518934726715088,350.54696132596683,255.0,300.0,338.0,469.0,52.3756906077348,34.0,45.0,51.0,71.0,Together AI
+165,llama-2-70b-chat,late evening,4.719581684340602,2.4600090980529785,2.9465444087982178,3.631521224975586,5.516965627670288,601.1920289855072,281.0,311.0,473.0,707.0,83.8804347826087,34.0,46.0,65.0,102.0,Together AI
+166,llama-2-70b-chat,midnight,3.249819871626402,2.2821081638336183,2.6177178382873536,2.9772785186767576,3.9292076110839846,365.14473684210526,255.0,300.0,349.0,473.0,54.80921052631579,34.0,45.0,53.0,77.0,Together AI
+167,llama-2-70b-chat,night,2.8264514451677147,2.1450907707214357,2.5386868476867677,2.966430997848511,3.449947023391724,356.4886363636364,281.0,303.0,349.0,469.0,55.02272727272727,43.0,46.0,51.39999999999999,71.0,Together AI
+168,zephyr-7b-beta,early morning,3.937663261095683,3.9492252349853514,4.371797418594361,4.507887315750122,4.795662927627563,273.03333333333336,86.8,321.20000000000005,376.6,404.80000000000007,43.45,3.0,51.0,60.0,68.0,Hugging Face Inference Endpoint
+169,zephyr-7b-beta,morning,4.056525647640228,4.067356967926026,4.103496074676514,4.111767244338989,4.127487230300903,386.3,354.8,377.4,397.2,434.6,63.35,54.8,61.800000000000004,67.0,71.2,Hugging Face Inference Endpoint
+170,zephyr-7b-beta,afternoon,3.5789777278900146,3.701544761657715,4.1053015232086185,4.16576886177063,4.2883219718933105,277.6,86.8,322.0,386.4,422.4,44.016666666666666,3.0,53.6,62.4,68.0,Hugging Face Inference Endpoint
+171,zephyr-7b-beta,late afternoon,3.4592524923459447,2.378071928024296,4.1054285049438475,4.143296527862549,4.255803108215332,251.1010101010101,48.600000000000115,147.60000000000048,375.0,406.4,39.292929292929294,0.6000000000000014,27.000000000000085,59.8,68.0,Hugging Face Inference Endpoint
+172,zephyr-7b-beta,evening,3.5673056403795878,3.713316535949707,4.0996331691741945,4.1397500991821286,4.223864793777466,273.3666666666667,86.8,321.20000000000005,376.6,404.80000000000007,43.5,3.0,51.0,61.199999999999996,68.0,Hugging Face Inference Endpoint
+173,zephyr-7b-beta,late evening,3.45343524068594,0.8169618606567383,2.4506575584411654,4.131957244873047,4.292169427871704,176.23125,0.0,48.600000000000115,180.19999999999862,396.0,27.21875,0.0,0.6000000000000014,32.999999999999744,65.0,Hugging Face Inference Endpoint
+174,zephyr-7b-beta,midnight,3.7253047794103624,1.2049674987792969,4.328699159622192,4.623009824752808,4.870654821395874,217.82083333333333,0.0,91.0,359.4,403.0,33.67916666666667,0.0,3.6000000000000085,58.0,67.0,Hugging Face Inference Endpoint
+175,zephyr-7b-beta,night,3.6954557319482166,1.013876724243164,4.408831071853638,4.585428762435913,4.776888847351074,216.55833333333334,0.0,98.0,350.0,396.6,33.46666666666667,0.0,3.6000000000000014,54.39999999999999,67.0,Hugging Face Inference Endpoint
+","{""x"": ""time_of_day"", ""y"": ""execution_time_mean"", ""color"": ""model"", ""barmode"": ""group"", ""category_orders"": {""time_of_day"": [""early morning"", ""morning"", ""afternoon"", ""late afternoon"", ""evening"", ""late evening"", ""midnight"", ""night""]}, ""labels"": {""time_of_day"": ""Time of day"", ""execution_time_mean"": ""Execution Time (s)"", ""model"": ""Model""}, ""title"": ""Execution time for different times of the day""}"
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'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
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'x': array(['early morning', 'morning', 'afternoon', 'late afternoon', 'evening',
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- 'layout': {'legend': {'title': {'text': 'Provider'}},
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+ 'text': 'Hugging Face Inference Endpoint',
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+ 'showlegend': False,
'template': '...',
'title': {'text': 'Execution time for different times of the day for different providers'},
- 'xaxis': {'title': {'text': 'Time of day'}},
- 'yaxis': {'title': {'text': 'Execution Time (s)'}}}
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([10.22375663]),
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
- 'x': array([1.96728881]),
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'y': array(['LLaMA-2 Chat (7B)'], dtype=object),
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([2.15833553]),
'xaxis': 'x',
'y': array(['Mixtral-8x7B-Instruct-v0.1'], dtype=object),
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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+ 'x': array([0.85484311]),
'xaxis': 'x',
'y': array(['OpenHermes-2.5-Mistral (7B)'], dtype=object),
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'showlegend': True,
'textposition': 'auto',
'type': 'bar',
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'xaxis': 'x',
'y': array(['Qwen 1.5 Chat (7B)'], dtype=object),
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'textposition': 'auto',
'type': 'bar',
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'y': array(['RedPajama-INCITE Chat (7B)'], dtype=object),
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'textposition': 'auto',
'type': 'bar',
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+ 'x': array([19.87520371]),
'xaxis': 'x',
'y': array(['Snorkel Mistral PairRM DPO (7B)'], dtype=object),
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'textposition': 'auto',
'type': 'bar',
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'y': array(['Vicuna v1.5 (7B)'], dtype=object),
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'textposition': 'auto',
'type': 'bar',
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+ 'x': array([1.16672373]),
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'showlegend': True,
'textposition': 'auto',
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'textposition': 'auto',
'type': 'bar',
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+ 'x': array([11.17830559]),
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'textposition': 'auto',
'type': 'bar',
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+ 'x': array([2.04078367]),
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'textposition': 'auto',
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+ 'x': array([0.60309041]),
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