Upload perf-df-bnb-1xT4.csv with huggingface_hub

perf-df-bnb-1xT4.csv

@@ -6336,7 +6336,7 @@ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 416.00 MiB. GPU 0
     raise RuntimeError(f""Isolated process exited with non-zero code {isolated_process.exitcode}"")
 RuntimeError: Isolated process exited with non-zero code -9
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6358,9 +6358,9 @@ ChildProcessError: Traceback (most recent call last):
     return self.pretrained_model.generate(**inputs, **kwargs)
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
     return func(*args, **kwargs)
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
     result = self._sample(
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
     outputs = self(**model_inputs, return_dict=True)
   File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
     return self._call_impl(*args, **kwargs)
@@ -6407,7 +6407,7 @@ ChildProcessError: Traceback (most recent call last):
 RuntimeError: FlashAttention only supports Ampere GPUs or newer.
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6429,9 +6429,9 @@ ChildProcessError: Traceback (most recent call last):
     return self.pretrained_model.generate(**inputs, **kwargs)
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
     return func(*args, **kwargs)
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
     result = self._sample(
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
     outputs = self(**model_inputs, return_dict=True)
   File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
     return self._call_impl(*args, **kwargs)
@@ -6480,7 +6480,7 @@ RuntimeError: FlashAttention only supports Ampere GPUs or newer.
 ",True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B-Instruct,meta-llama/Meta-Llama-3-8B-Instruct,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,True,MB,880.959488,6477.971456,0.0,6075.449344,6044.13184,s,1,16.61744921875,16.61744921875,0.0,16.61744921875,16.61744921875,16.61744921875,16.61744921875,[16.61744921875],,kWh,0.00023311559083750427,2.570710072197138e-05,7.476561536799708e-05,0.0003335883069274727,,MB,1402.728448,7002.259456,0.0,6587.154432,6470.128128,s,10,10.377251586914063,1.0377251586914062,0.004119444769134758,1.0376526489257811,1.0427670166015623,1.0430039916992186,1.0431935717773437,"[1.0290411376953126, 1.0338621826171874, 1.0355106201171875, 1.036467529296875, 1.039693603515625, 1.0374874267578125, 1.0414158935546876, 1.04271435546875, 1.03781787109375, 1.043240966796875]",tokens/s,246.6934504342378,kWh,3.0326203891664817e-05,3.3444434319524646e-06,2.014868278559928e-05,5.381933010921656e-05,tokens/kWh,4756655.266434838,MB,1440.11264,7016.93952,0.0,6599.737344,6470.130688,s,10,50.342291015625,5.0342291015625005,0.012947574995243238,5.037735595703126,5.045789843750001,5.0465294433593755,5.0471211230468755,"[5.00603564453125, 5.02252880859375, 5.04562548828125, 5.01968310546875, 5.04454833984375, 5.0438623046875, 5.03726708984375, 5.0378349609375, 5.04726904296875, 5.03763623046875]",tokens/s,12.514329151298726,kWh,0.0001476985999095848,1.629138896290381e-05,9.707304988060133e-05,0.0002610630387530899,tokens/kWh,241321.02461116528,,s,630,50.33960965728759,0.07990414231315492,0.0015563375116845655,0.0799221305847168,0.08084493255615234,0.08103640327453614,0.08969681533813478,"[0.0893713607788086, 0.08033798217773437, 0.07961837005615234, 0.07921036529541016, 0.07883209228515625, 0.08017334747314453, 0.07944525146484376, 0.0790450210571289, 0.07874800109863281, 0.07860224151611328, 0.07852425384521484, 0.07850588989257813, 0.07859977722167968, 0.07848191833496093, 0.07856550598144531, 0.0785052490234375, 0.07860095977783203, 0.07864729309082032, 0.07861357116699219, 0.08034774780273438, 0.07995785522460938, 0.07975347137451172, 0.07956710052490235, 0.07934070587158203, 0.07898403167724609, 0.07869644927978516, 0.07864857482910156, 0.07868083190917968, 0.07877632141113282, 0.07866777801513672, 0.07862598419189454, 0.07873209381103516, 0.07863910675048828, 0.0786698226928711, 0.0805212173461914, 0.07980646514892578, 0.07932077026367187, 0.08053587341308593, 0.08000102233886719, 0.0797675552368164, 0.0797470703125, 0.07979212951660156, 0.07941939544677734, 0.07921376037597656, 0.07870543670654297, 0.0788214111328125, 0.07892313385009765, 0.07895126342773437, 0.07879590606689453, 0.07891830444335937, 0.07888416290283203, 0.07886019134521484, 0.07868294525146484, 0.07887049865722656, 0.08102912139892578, 0.07998242950439453, 0.07944742584228516, 0.08059136199951172, 0.08014876556396484, 0.08090214538574218, 0.08002764892578125, 0.07964230346679688, 0.08094751739501953, 0.09087590026855469, 0.08030534362792968, 0.07947481536865235, 0.07911804962158203, 0.07869974517822266, 0.07846272277832031, 0.07843840026855468, 0.07873334503173827, 0.07961971282958985, 0.07851840209960938, 0.08023622131347656, 0.07960588836669921, 0.08018685150146485, 0.0796365737915039, 0.07918447875976563, 0.0795895004272461, 0.07891104125976563, 0.07873999786376953, 0.07847119903564453, 0.07858585357666016, 0.0784865951538086, 0.0785083236694336, 0.07856400299072265, 0.0787783660888672, 0.07860224151611328, 0.07867391967773438, 0.08056422424316406, 0.08010342407226563, 0.0805879669189453, 0.07999680328369141, 0.08062457275390625, 0.08001331329345703, 0.08099635314941406, 0.08012995147705078, 0.08056636810302735, 0.08003724670410156, 0.0805771484375, 0.08066252899169922, 0.0800235824584961, 0.07941110229492188, 0.07969171142578126, 0.079085693359375, 0.07870054626464844, 0.07881635284423828, 0.07889193725585937, 0.07880089569091797, 0.07874790191650391, 0.07880063629150391, 0.0786690902709961, 0.07888764953613281, 0.07889647674560547, 0.07902809906005859, 0.08075958251953125, 0.08014848327636719, 0.07937593841552734, 0.08061382293701172, 0.0797939224243164, 0.07924463653564454, 0.08079043579101562, 0.0809144287109375, 0.08075263977050781, 0.08015257263183594, 0.08139724731445312, 0.09085724639892578, 0.08022077178955078, 0.07947984313964844, 0.07892066955566407, 0.07847245025634765, 0.0784271011352539, 0.07844226837158202, 0.0784131851196289, 0.07833462524414063, 0.07846476745605468, 0.08017737579345703, 0.07945625305175781, 0.08071376037597656, 0.08039344024658203, 0.07984204864501954, 0.0791695327758789, 0.07837619018554688, 0.07847090911865234, 0.07846112060546875, 0.07880544281005859, 0.07863744354248046, 0.07860018920898437, 0.07857308959960937, 0.07873174285888672, 0.07857917022705078, 0.0786949462890625, 0.08089958190917969, 0.08021580505371094, 0.07920486450195313, 0.08096092987060546, 0.08025379180908203, 0.08056547546386719, 0.07989532470703126, 0.08086486053466797, 0.08060150146484375, 0.0801641616821289, 0.0810400619506836, 0.08043724822998047, 0.08104291534423828, 0.08032105255126953, 0.08060723114013672, 0.08004402923583985, 0.08100045013427734, 0.08042655944824219, 0.08066502380371093, 0.08075059509277344, 0.08007884979248046, 0.08107615661621094, 0.08035266876220704, 0.08109318542480469, 0.08142803192138671, 0.08011619567871094, 0.07940716552734375, 0.08104959869384766, 0.08047756958007812, 0.08133081817626953, 0.08025526428222657, 0.08059027099609375, 0.07983309173583984, 0.0808594207763672, 0.08009318542480469, 0.08073567962646484, 0.08091216278076171, 0.09024307250976563, 0.08032621002197265, 0.0794972152709961, 0.07883942413330078, 0.07837267303466797, 0.0783839340209961, 0.07839884948730469, 0.07851471710205078, 0.07847248077392578, 0.07843122863769532, 0.08022016143798828, 0.07958889770507813, 0.08014486694335937, 0.07948639678955079, 0.08084867095947265, 0.08018819427490234, 0.08043859100341796, 0.08023625946044922, 0.07928479766845703, 0.07868386840820313, 0.07849440002441406, 0.07857526397705078, 0.07870432281494141, 0.07861875152587891, 0.07861875152587891, 0.07873280334472656, 0.07864604949951172, 0.07874364471435547, 0.08036137390136719, 0.07978182220458985, 0.07899705505371094, 0.08097392272949219, 0.08029647827148438, 0.0793958740234375, 0.08095830535888672, 0.080382080078125, 0.08054386901855469, 0.08062073516845703, 0.07996896362304687, 0.07947853088378906, 0.0797841567993164, 0.07912451171875, 0.0787988510131836, 0.07897293090820312, 0.07882704162597656, 0.0787911376953125, 0.07897293090820312, 0.07892527770996094, 0.07873139190673828, 0.07918358612060547, 0.08042371368408203, 0.07991696166992188, 0.078716796875, 0.07883148956298829, 0.08055014038085938, 0.0799754867553711, 0.07901280212402344, 0.08070108795166016, 0.07998294067382812, 0.07948697662353515, 0.08113362884521484, 0.08082044982910157, 0.08026902770996094, 0.08945664215087891, 0.08039212799072265, 0.07967257690429687, 0.07907615661621094, 0.07839315032958985, 0.07829523468017578, 0.07839148712158203, 0.07851535797119141, 0.07846320343017578, 0.07847161865234376, 0.07852851104736328, 0.0785041275024414, 0.08082003021240235, 0.08045731353759765, 0.08084726715087891, 0.08034480285644531, 0.08038848114013672, 0.08035318756103516, 0.07976140594482421, 0.07920025634765625, 0.07840544128417969, 0.07853485107421875, 0.07859977722167968, 0.07858998107910156, 0.07855449676513672, 0.07857020568847656, 0.07859251403808594, 0.07963113403320313, 0.08002444458007812, 0.07957222747802735, 0.08039244842529297, 0.07969446563720703, 0.07881932830810547, 0.08029388427734375, 0.07964604949951172, 0.08113775634765626, 0.08024736022949219, 0.08065023803710937, 0.07999433898925781, 0.08101273345947266, 0.0805311050415039, 0.08001216125488281, 0.0806297607421875, 0.08079296112060547, 0.08000576019287109, 0.08073625946044923, 0.08072796630859375, 0.0807895965576172, 0.08075059509277344, 0.08072601318359375, 0.08064940643310547, 0.08076985931396484, 0.08068505859375, 0.08071372985839843, 0.08022220611572266, 0.0811704330444336, 0.08038377380371094, 0.0811337890625, 0.08081407928466797, 0.08036147308349609, 0.08113270568847657, 0.08043344116210938, 0.08082268524169922, 0.08979491424560547, 0.080544189453125, 0.07973478698730468, 0.07918313598632812, 0.0784719009399414, 0.07849139404296875, 0.07845503997802734, 0.07849065399169922, 0.07846514892578126, 0.07857635498046875, 0.07849382019042969, 0.07865753936767578, 0.08082431793212891, 0.08051302337646485, 0.08085094451904297, 0.08056752014160157, 0.07997277069091797, 0.08089379119873047, 0.08041935729980469, 0.0809697265625, 0.0805212173461914, 0.079998046875, 0.08085308837890624, 0.08056448364257812, 0.08045545959472657, 0.07983216094970703, 0.07919945526123047, 0.07862451171875, 0.078598876953125, 0.07865753936767578, 0.07866777801513672, 0.07871897888183593, 0.07855427551269531, 0.07863523101806641, 0.07954467010498047, 0.0802306900024414, 0.0794438705444336, 0.07953174591064453, 0.08010765075683594, 0.07955046081542969, 0.0786250228881836, 0.08074034881591798, 0.08011743927001953, 0.07950982666015625, 0.08099635314941406, 0.08032665252685547, 0.08076697540283204, 0.08016690826416016, 0.08108646392822266, 0.08039993286132813, 0.08069686126708984, 0.08009616088867187, 0.08103900909423828, 0.08076528167724609, 0.08071372985839843, 0.08020156860351563, 0.0812136001586914, 0.08056537628173828, 0.08080268859863281, 0.08036576080322265, 0.08071968078613281, 0.08020377349853515, 0.08082022094726563, 0.0900283203125, 0.08041267395019532, 0.07966989135742188, 0.08025881958007812, 0.07961830139160156, 0.08069686126708984, 0.08029436492919922, 0.0796753921508789, 0.07927548980712891, 0.0784936294555664, 0.07847907257080078, 0.07852518463134765, 0.07845094299316406, 0.07850994873046875, 0.07849775695800781, 0.07849132537841796, 0.07872956848144531, 0.08021196746826172, 0.07916748809814453, 0.08094515228271484, 0.08039833831787109, 0.07973836517333985, 0.08023433685302735, 0.0795798110961914, 0.08077926635742187, 0.08047331237792969, 0.07994038391113281, 0.079287841796875, 0.07852067565917968, 0.0786228485107422, 0.0787066879272461, 0.078712158203125, 0.07867868804931641, 0.07861862182617188, 0.07906098937988282, 0.08030413055419922, 0.0796049575805664, 0.07953488159179688, 0.08010761260986328, 0.07958499145507812, 0.07876012420654296, 0.08071987152099609, 0.07985731506347657, 0.07918831634521484, 0.08083763122558593, 0.08020457458496094, 0.08074988555908204, 0.08017919921875, 0.0806286392211914, 0.08006012725830078, 0.08060546875, 0.08080105590820312, 0.0800157470703125, 0.08076943969726562, 0.08018425750732422, 0.08123689270019531, 0.08040045166015625, 0.07956687927246094, 0.08124416351318359, 0.08058879852294921, 0.079425537109375, 0.08113267517089844, 0.08092556762695312, 0.09004425811767579, 0.0803642578125, 0.07971839904785157, 0.08036457824707031, 0.08034156799316407, 0.08034550476074219, 0.08036351776123046, 0.08048982238769531, 0.07969382476806641, 0.07901651000976563, 0.07950748443603516, 0.07891359710693359, 0.07849369812011718, 0.07851132965087891, 0.07869315338134765, 0.07863724517822265, 0.0785098876953125, 0.07858175659179688, 0.07942691040039063, 0.08028598022460938, 0.07967167663574219, 0.07862067413330077, 0.08078083038330078, 0.08016355133056641, 0.07919590759277344, 0.08084467315673828, 0.08024076843261718, 0.08094080352783203, 0.08019379425048828, 0.08091964721679687, 0.08063593292236328, 0.08061353302001953, 0.08050953674316406, 0.08066675567626953, 0.08059903717041016, 0.08074034881591798, 0.08056845092773438, 0.08050265502929688, 0.08000476837158203, 0.0793603515625, 0.07868415832519532, 0.07880016326904297, 0.07870079803466797, 0.07884028625488282, 0.07878383636474609, 0.07875651550292968, 0.07968934631347656, 0.08017549133300782, 0.0795525131225586, 0.07971356964111329, 0.08020563507080078, 0.07978486633300781, 0.07879065704345703, 0.07890739440917968, 0.08067276763916016, 0.07997235107421875, 0.079048095703125, 0.08082492828369141, 0.08011488342285156, 0.07935469055175781, 0.08068726348876953, 0.08015392303466796, 0.0812806396484375, 0.0906153564453125, 0.08045203399658203, 0.07964454650878906, 0.07913075256347656, 0.07840518188476563, 0.07845318603515625, 0.07846918487548828, 0.07848502349853516, 0.078363037109375, 0.07848127746582031, 0.07853897857666016, 0.07890729522705078, 0.08039014434814454, 0.08081798553466797, 0.08041696166992188, 0.08039622497558593, 0.07977513885498047, 0.08083318328857422, 0.08019129943847657, 0.08092598724365234, 0.08057539367675781, 0.08049254608154296, 0.0804653091430664, 0.08056073760986328, 0.07987197113037109, 0.07925504302978516, 0.07967411041259766, 0.07908124542236328, 0.07865958404541015, 0.07872041320800781, 0.07865721893310547, 0.0787239990234375, 0.07861862182617188, 0.08006479644775391, 0.07993023681640625, 0.07936700439453125, 0.07870777893066407, 0.07988114929199219, 0.08074649810791015, 0.08031600189208984, 0.07931536102294921, 0.08104755401611329, 0.08005836486816406, 0.08076812744140625, 0.079939453125, 0.0806526107788086, 0.07996896362304687, 0.08059903717041016, 0.08057142639160156, 0.08077967834472656, 0.08065270233154297, 0.08075689697265626, 0.07997599792480468, 0.08090000152587891, 0.08071222686767578, 0.0812072982788086, 0.08072509002685548, 0.08076175689697265, 0.08069222259521484, 0.0808622055053711, 0.08084793853759766, 0.08088195037841797, 0.08022083282470703, 0.08940134429931641, 0.08038604736328125, 0.07965033721923828, 0.08052169799804687, 0.0803082275390625, 0.0803691177368164, 0.08037551879882812, 0.08033148956298829, 0.07969091033935546, 0.07916835021972657, 0.07851123046875, 0.07850396728515625, 0.07850080108642578, 0.07855718231201173, 0.07844659423828125, 0.07847430419921875, 0.07977670288085938, 0.0799537582397461, 0.07913897705078125, 0.07985104370117188, 0.07987452697753906, 0.079388671875, 0.08044134521484375, 0.07985356903076171, 0.07886844635009765, 0.08058582305908203, 0.08053968048095703, 0.08058354949951171, 0.08044547271728515, 0.08048668670654296, 0.08067417907714844, 0.08069113922119141, 0.08063632202148438, 0.07992729949951172, 0.08051302337646485, 0.08007244873046875, 0.07974527740478515, 0.07917772674560547, 0.07872512054443359, 0.0786698226928711, 0.0786800308227539, 0.07881501007080079, 0.07868402862548828, 0.07983497619628906, 0.08025936126708984, 0.07976166534423829, 0.07962361907958984, 0.08013894653320312, 0.07973264312744141, 0.07884796905517578, 0.0787694091796875, 0.08059811401367188, 0.07982249450683594, 0.07908080291748047, 0.0806550064086914, 0.0801239013671875, 0.08103321838378906, 0.08042700958251953, 0.08078704071044922, 0.08022233581542969, 0.08062799835205078, 0.08017100524902344, 0.08083865356445312]",tokens/s,12.514995731771547,,
 8bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,MB,15403.962368,9514.647552,0.0,9112.12544,9086.72256,s,1,35.12304296875,35.12304296875,0.0,35.12304296875,35.12304296875,35.12304296875,35.12304296875,[35.12304296875],,kWh,0.0007710414321458302,8.504451619075104e-05,0.0002495143662780003,0.0011056003146145816,,MB,4078.477312,9692.905472,0.0,9269.41184,9235.912192,s,10,1.2643746795654298,0.12643746795654298,0.0008266481532012924,0.12620406341552734,0.12767002182006837,0.12787409629821778,0.1280373558807373,"[0.12762467193603516, 0.12654662322998048, 0.1252915496826172, 0.12807817077636718, 0.12610284423828125, 0.12630528259277343, 0.1258170852661133, 0.12603833770751954, 0.125698974609375, 0.1268711395263672]",tokens/s,2024.7162817906803,kWh,3.6699333617188756e-06,4.047275636755525e-07,2.4366825049000966e-06,6.511343430294525e-06,tokens/kWh,39316003.33180713,MB,4082.7904,9705.488384,0.0,9281.994752,9177.194496,s,10,79.25482861328125,7.925482861328125,0.015173426462082461,7.926976806640624,7.94667998046875,7.94768544921875,7.94848982421875,"[7.9286318359375, 7.94869091796875, 7.92532177734375, 7.906017578125, 7.94645654296875, 7.93572509765625, 7.912375, 7.90211865234375, 7.932205078125, 7.9172861328125]",tokens/s,7.949042487670294,kWh,0.0002307615320328636,2.5454131798180985e-05,0.00010394504148929907,0.0003601607053203436,tokens/kWh,174921.91421594672,,s,630,79.25221926879877,0.12579717344253782,0.0012254419671425979,0.12554127883911131,0.12692436294555665,0.1276180290222168,0.13009891815185548,"[0.1263271026611328, 0.12606870269775391, 0.12606451416015624, 0.12568182373046874, 0.12513670349121095, 0.1253614044189453, 0.12664752197265625, 0.1258278045654297, 0.12613868713378906, 0.12495737457275391, 0.12534758758544923, 0.12616067504882814, 0.12517750549316406, 0.12503091430664062, 0.12513516998291016, 0.1255519027709961, 0.12699942779541015, 0.1254746551513672, 0.1258967056274414, 0.12543612670898438, 0.12557244873046874, 0.12724393463134764, 0.1267208023071289, 0.12601897430419923, 0.12668489837646485, 0.12598470306396484, 0.12687423706054687, 0.12492147064208985, 0.12500243377685546, 0.12512035369873048, 0.12518211364746093, 0.12980239868164062, 0.12647203063964843, 0.12535708618164063, 0.1255864028930664, 0.1269391326904297, 0.1261465606689453, 0.12578966522216797, 0.12534598541259764, 0.12577008056640626, 0.12642281341552736, 0.12564620971679688, 0.12571529388427735, 0.12516780853271484, 0.12621190643310548, 0.12807781982421876, 0.1254933090209961, 0.12570582580566406, 0.12614009857177735, 0.12582160186767577, 0.12522905731201173, 0.12445491027832031, 0.12717670440673828, 0.12555372619628907, 0.12553462219238282, 0.12564918518066406, 0.12557920074462892, 0.12551798248291016, 0.12564470672607422, 0.12479923248291015, 0.12510514831542968, 0.12517273712158203, 0.12558131408691406, 0.1264614715576172, 0.1261470413208008, 0.1257922592163086, 0.12557129669189454, 0.12646963500976563, 0.12613251495361327, 0.1261710433959961, 0.12728125, 0.12605232238769531, 0.12554601287841796, 0.12898162841796876, 0.12586383819580077, 0.1259781723022461, 0.1260668182373047, 0.1369582061767578, 0.1262525100708008, 0.12648300933837892, 0.12630342102050782, 0.12571846771240233, 0.12550374603271483, 0.12627375793457032, 0.1255383071899414, 0.12526019287109375, 0.12556492614746093, 0.12726886749267577, 0.12549324798583986, 0.12647583770751952, 0.12533155059814452, 0.12561775970458985, 0.12495263671875, 0.12494509124755859, 0.12596588897705077, 0.12632886505126953, 0.12469395446777344, 0.12639679718017577, 0.12511901092529296, 0.12595410919189454, 0.1261443862915039, 0.12563043212890626, 0.1255118408203125, 0.12543795013427733, 0.12499539184570313, 0.12707449340820312, 0.12524095916748046, 0.12563394927978516, 0.1248675537109375, 0.1249771499633789, 0.12955661010742187, 0.12600032043457032, 0.1255390090942383, 0.12608306884765624, 0.12756358337402343, 0.12603616333007814, 0.1254133758544922, 0.12588179016113282, 0.1256552963256836, 0.12658675384521484, 0.12538822174072264, 0.12609024047851564, 0.1258287353515625, 0.12697638702392577, 0.1257902069091797, 0.125623779296875, 0.12601347351074219, 0.1259139175415039, 0.12568716430664062, 0.12955523681640624, 0.1261868133544922, 0.12573340606689454, 0.12532313537597656, 0.12525965118408203, 0.1257019500732422, 0.12488716888427734, 0.12557561492919922, 0.1254742431640625, 0.12547318267822266, 0.12600717163085937, 0.12582288360595703, 0.1259440612792969, 0.12640230560302734, 0.1254048309326172, 0.1256085433959961, 0.12612713623046876, 0.1261209259033203, 0.1254316177368164, 0.1253698272705078, 0.12588925170898438, 0.12586803436279298, 0.1251635208129883, 0.1257573471069336, 0.12574217224121093, 0.12750294494628905, 0.12913494873046874, 0.12692272186279296, 0.1252919692993164, 0.1259728012084961, 0.12495702362060547, 0.12505497741699217, 0.12597254180908204, 0.12656813049316407, 0.12505318450927735, 0.12460441589355468, 0.12476227569580078, 0.12570995330810547, 0.12589180755615234, 0.1252526092529297, 0.12493004608154297, 0.12513005065917968, 0.1247607650756836, 0.12495404815673829, 0.1276354217529297, 0.12628428649902343, 0.12507059478759766, 0.12576204681396486, 0.12583340454101563, 0.12679977416992189, 0.12568185424804687, 0.1253020477294922, 0.1252992935180664, 0.1261343002319336, 0.12756966400146486, 0.12487094116210938, 0.12528781127929686, 0.12591590118408202, 0.12527206420898437, 0.12447539520263672, 0.12913568115234375, 0.12544300842285155, 0.13083001708984374, 0.12601366424560548, 0.12531107330322266, 0.12564412689208984, 0.12587503814697265, 0.1256824951171875, 0.12565100860595704, 0.1260082550048828, 0.12472013092041015, 0.12592371368408203, 0.12552995300292968, 0.12518048095703124, 0.12533577728271483, 0.12558537292480468, 0.12554576110839843, 0.12475437164306641, 0.12729776000976561, 0.12720137786865235, 0.12594790649414062, 0.12645756530761718, 0.1251740493774414, 0.12515062713623046, 0.12427938842773438, 0.12457369232177734, 0.12421875, 0.1246787872314453, 0.12459414672851563, 0.12489859008789063, 0.12498214721679687, 0.12460838317871094, 0.12496691131591797, 0.12432550048828125, 0.12474992370605469, 0.1265964813232422, 0.1274028778076172, 0.12582450866699219, 0.12664067077636718, 0.12596540832519532, 0.12522793579101563, 0.12465084838867188, 0.12444022369384766, 0.12445388793945313, 0.12450816345214843, 0.1282455291748047, 0.12565430450439452, 0.12551673889160156, 0.12544818878173827, 0.12479049682617188, 0.12483612823486329, 0.12575846099853516, 0.126129150390625, 0.12468560028076171, 0.12494732666015625, 0.12574908447265626, 0.12488317108154297, 0.12452227020263672, 0.12396940612792968, 0.12448780822753906, 0.12471091461181641, 0.12446063995361328, 0.12495200347900391, 0.12558963012695312, 0.12586380767822267, 0.1244912338256836, 0.12516172790527344, 0.1256799011230469, 0.12499075317382813, 0.12511273956298827, 0.12513292694091796, 0.12506336212158203, 0.12704755401611328, 0.1252721939086914, 0.12480620574951172, 0.12488829040527344, 0.1247609634399414, 0.12666499328613282, 0.13116064453125, 0.1254092788696289, 0.12483379364013672, 0.13022003173828126, 0.12535603332519532, 0.1268326416015625, 0.12661145782470704, 0.12575698852539063, 0.12721196746826172, 0.12646351623535157, 0.12654208374023437, 0.12494457244873047, 0.12675689697265624, 0.12565299224853516, 0.12563375854492187, 0.12520047760009764, 0.1268303680419922, 0.1265489273071289, 0.1250386276245117, 0.1288805694580078, 0.1264425277709961, 0.12597142028808594, 0.12558745574951172, 0.1252080307006836, 0.12621862030029296, 0.12568943786621095, 0.12505760192871093, 0.12499116516113282, 0.12468067169189453, 0.12551545715332033, 0.1251022415161133, 0.12545228576660156, 0.1272647705078125, 0.12596150207519533, 0.12568006134033202, 0.1254028778076172, 0.12633280181884765, 0.12609910583496095, 0.12566770935058594, 0.12584204864501952, 0.12590006256103517, 0.12551395416259767, 0.1372677764892578, 0.12566726684570312, 0.12514918518066406, 0.12883091735839844, 0.1260481948852539, 0.12523363494873047, 0.12642678070068358, 0.1257209243774414, 0.1258881607055664, 0.125210205078125, 0.12513075256347655, 0.1250516815185547, 0.1254191665649414, 0.12633094024658204, 0.12631068420410158, 0.12615475463867187, 0.12579580688476563, 0.12668572998046876, 0.12525363159179687, 0.12558745574951172, 0.12599513244628907, 0.12642221069335938, 0.12626399993896484, 0.12592546844482422, 0.12533907318115234, 0.1252254409790039, 0.12548614501953126, 0.1255044479370117, 0.12504598236083983, 0.12582991790771483, 0.12702105712890624, 0.1257260513305664, 0.12545203399658203, 0.1253297576904297, 0.12507193756103516, 0.12484403228759766, 0.12823960876464843, 0.1265950698852539, 0.12611283111572266, 0.12926792907714843, 0.12672073364257813, 0.125591552734375, 0.1256871337890625, 0.12552873229980469, 0.12553011322021485, 0.12618137359619142, 0.12601548767089843, 0.1261529312133789, 0.1264985885620117, 0.12631654357910158, 0.12599212646484376, 0.12563673400878905, 0.12531804656982423, 0.12649417877197267, 0.12598294067382812, 0.12916268920898438, 0.12683881378173828, 0.1262086410522461, 0.126312255859375, 0.12549683380126953, 0.12565891265869142, 0.12625433349609375, 0.12695468902587892, 0.12553632354736327, 0.12513833618164064, 0.12524169921875, 0.12535276794433595, 0.12486605072021484, 0.12514134216308595, 0.1255690231323242, 0.12530397033691407, 0.1260486068725586, 0.1254118423461914, 0.12556082916259764, 0.12538211059570312, 0.12545692443847656, 0.1257465591430664, 0.12543244934082032, 0.12496281433105469, 0.12588646697998046, 0.1284475555419922, 0.12698483276367187, 0.1252539520263672, 0.12529488372802736, 0.12546018981933593, 0.125085693359375, 0.12498662567138671, 0.12689273834228515, 0.1255895690917969, 0.12544185638427735, 0.12510249328613282, 0.12484130859375, 0.1253619842529297, 0.12520716857910155, 0.12499878692626953, 0.12484928131103516, 0.12547225952148439, 0.12504637145996095, 0.125330078125, 0.12548655700683595, 0.12578787231445313, 0.12595603179931641, 0.12505996704101563, 0.1270128631591797, 0.1259768295288086, 0.1250260467529297, 0.12544931030273437, 0.12544403076171876, 0.12515017700195313, 0.12683609771728516, 0.12456614685058594, 0.12452044677734375, 0.125279296875, 0.12533856201171875, 0.12488915252685547, 0.1280021514892578, 0.125544189453125, 0.12772566223144532, 0.12875570678710938, 0.12528428649902343, 0.12566329956054687, 0.12540428924560548, 0.12553919982910156, 0.12502207946777344, 0.1253229751586914, 0.12530934143066405, 0.12464128112792969, 0.12550745391845702, 0.12529990386962891, 0.12525663757324218, 0.12480239868164063, 0.12483036804199218, 0.1252311019897461, 0.13083853149414063, 0.12545142364501954, 0.12593548583984376, 0.12619615936279296, 0.12494518280029297, 0.12493545532226563, 0.1256822738647461, 0.1256197738647461, 0.1250392303466797, 0.12474073791503906, 0.12502828979492187, 0.12581037139892579, 0.12461974334716797, 0.12454204559326172, 0.12547110748291015, 0.12480876922607421, 0.12561504364013673, 0.12542054748535156, 0.1255225296020508, 0.12537404632568358, 0.12531385803222655, 0.1245902099609375, 0.12555474853515625, 0.12440147399902343, 0.125329345703125, 0.12482099151611328, 0.12898976135253906, 0.12558348846435546, 0.1253763198852539, 0.12503478240966798, 0.12541929626464843, 0.12467779541015625, 0.12529698944091797, 0.12437299346923827, 0.12488678741455078, 0.12480850982666016, 0.1250635223388672, 0.12569229125976564, 0.12588668823242188, 0.12477340698242187, 0.12459011077880859, 0.12471794891357423, 0.12477037048339844, 0.12445855712890624, 0.12616544342041017, 0.12525520324707032, 0.1251332778930664, 0.12417638397216797, 0.12530912017822265, 0.12543920135498046, 0.12548770904541015, 0.12586361694335937, 0.12537635040283204, 0.12505750274658203, 0.1269863967895508, 0.12458905792236329, 0.12555126190185548, 0.12539513397216798, 0.1251530227661133, 0.12611135864257814, 0.12482624053955078, 0.12875386047363283, 0.12868421936035157, 0.1273826217651367, 0.12517469024658204, 0.12574908447265626, 0.12548851013183593, 0.12557584381103515, 0.12700685119628907, 0.12641267395019531, 0.12507484436035157, 0.12759677124023439, 0.12688668823242188, 0.12582784271240235, 0.12552700805664063, 0.12610050964355468, 0.1263472671508789, 0.12565193939208985, 0.1270292510986328, 0.12726841735839844, 0.12580908966064452, 0.12636569976806641, 0.1255016326904297, 0.12532723236083984, 0.12621202850341798, 0.1258532485961914, 0.1266888961791992, 0.12605494689941407, 0.1254648666381836, 0.12528025817871094, 0.12537036895751952, 0.12559123229980468, 0.12640198516845702, 0.12530572509765625, 0.12528025817871094, 0.12703238677978515, 0.12606723022460936, 0.12582339477539062, 0.12593663787841797, 0.12508697509765626, 0.12874032592773438, 0.12650688171386718, 0.12488384246826172, 0.12529603576660156, 0.1253200988769531, 0.12734012603759765, 0.12520992279052734, 0.12524972534179687, 0.12593353271484375, 0.12617935943603514, 0.12560243225097656, 0.12584659576416016, 0.1255433578491211, 0.12503858947753907, 0.12521826934814453, 0.12500374603271486, 0.1256546859741211, 0.12539997100830078, 0.1251962890625, 0.12548006439208984, 0.12464217376708984, 0.12468428802490235, 0.125517822265625, 0.12516966247558595, 0.12605030059814454, 0.1251412124633789, 0.12548915100097657, 0.12589875030517578, 0.1252864990234375, 0.12535533142089844, 0.12540787506103515, 0.1260703353881836, 0.126974365234375, 0.12516716766357422, 0.12566278076171875, 0.12499033355712891, 0.12505702209472655, 0.12500991821289062, 0.12522291564941407, 0.1296753845214844, 0.12528832244873048, 0.1295626220703125, 0.12641280364990234, 0.12498738861083984, 0.1262551040649414, 0.12584483337402344, 0.12549001312255859, 0.12592723083496093, 0.1249587173461914, 0.1255014419555664, 0.12703475189208985, 0.1260175018310547, 0.12540995025634766, 0.12463513946533203, 0.12524339294433592, 0.12616489410400392, 0.12482733154296875, 0.12925698852539064, 0.1260011215209961, 0.12578482818603515, 0.12508297729492188, 0.12502031707763672, 0.12458665466308594, 0.12520243072509765, 0.12478668975830078, 0.1252085723876953, 0.12521865844726562, 0.12611190032958985, 0.12484963226318359, 0.12449846649169923, 0.1242576675415039, 0.125304931640625, 0.12393116760253907, 0.12482701110839843, 0.12590566253662108, 0.1253678436279297, 0.1252027816772461, 0.1249423370361328, 0.12480028533935547, 0.12529737854003906, 0.12455897521972656, 0.1253392333984375, 0.12603472137451172, 0.1333043212890625, 0.12607103729248048, 0.12426563262939454, 0.1244964828491211, 0.12554774475097658]",tokens/s,7.949304206400029,,
-8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,llama,meta-llama/Meta-Llama-3-8B,meta-llama/Meta-Llama-3-8B,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6502,9 +6502,9 @@ ChildProcessError: Traceback (most recent call last):
     return self.pretrained_model.generate(**inputs, **kwargs)
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
     return func(*args, **kwargs)
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
     result = self._sample(
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
     outputs = self(**model_inputs, return_dict=True)
   File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
     return self._call_impl(*args, **kwargs)
@@ -6670,7 +6670,7 @@ RuntimeError: FlashAttention only supports Ampere GPUs or newer.
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 4bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,True,MB,837.922816,2872.967168,0.0,2470.445056,2459.375616,s,1,12.88734765625,12.88734765625,0.0,12.88734765625,12.88734765625,12.88734765625,12.88734765625,[12.88734765625],,kWh,0.00011988901446665445,1.3217349060009837e-05,3.823003058400082e-05,0.00017133639411066512,,MB,1352.945664,3479.044096,0.0,3063.939072,2984.869888,s,10,5.1870249633789065,0.5187024963378907,0.000950797694764596,0.5187325744628907,0.5197865661621094,0.5201598541259767,0.5204584844970703,"[0.51970361328125, 0.518352294921875, 0.516720458984375, 0.5180075073242187, 0.5188209838867187, 0.5186906127929688, 0.5187745361328125, 0.5184530029296875, 0.5189688110351562, 0.5205331420898438]",tokens/s,493.53917092629086,kWh,1.540033515416665e-05,1.6983810847779514e-06,1.0184774229683724e-05,2.728349046862832e-05,tokens/kWh,9382963.67520715,MB,1386.221568,3481.141248,0.0,3063.939072,2984.872448,s,10,35.0078583984375,3.5007858398437497,0.009475212726746488,3.5002600097656247,3.509337939453125,3.5152982421875003,3.520066484375,"[3.499208740234375, 3.49437255859375, 3.521258544921875, 3.490714599609375, 3.4970302734375, 3.4857138671875, 3.50404345703125, 3.508013427734375, 3.501311279296875, 3.506191650390625]",tokens/s,17.995959445154714,kWh,0.00010311770732083575,1.1374328907165619e-05,5.9579670470716334e-05,0.0001740717066987177,tokens/kWh,361919.8156598765,,s,630,35.00567852401733,0.0555645690857418,0.0006791711685449121,0.05540334510803223,0.056234456634521486,0.056638946914672854,0.05879137928009034,"[0.05650070571899414, 0.0558837776184082, 0.05617007827758789, 0.056721824645996094, 0.05601279830932617, 0.055769088745117185, 0.05729833602905274, 0.05559561538696289, 0.05565977478027344, 0.055577342987060546, 0.055959072113037106, 0.05528009414672851, 0.055267200469970704, 0.05531615829467774, 0.05568780899047852, 0.055082817077636716, 0.055177440643310545, 0.05576230239868164, 0.05542105484008789, 0.05513779067993164, 0.05579964828491211, 0.05547068786621094, 0.05525539016723633, 0.05486905670166015, 0.055031742095947266, 0.05705625534057617, 0.05809766387939453, 0.05870979309082031, 0.0552077751159668, 0.05542067337036133, 0.055109279632568356, 0.05513724899291992, 0.055826560974121094, 0.055312255859375, 0.05516035079956055, 0.054857215881347655, 0.05594416046142578, 0.054761760711669924, 0.05486153411865234, 0.05641401672363281, 0.05544713592529297, 0.05479280090332031, 0.05525680160522461, 0.055047679901123046, 0.05495859146118164, 0.054974750518798826, 0.05495337677001953, 0.05496464157104492, 0.05560483169555664, 0.05501910400390625, 0.054776256561279296, 0.05533657455444336, 0.05486278533935547, 0.05567484664916992, 0.05524486541748047, 0.05507171249389648, 0.055121185302734375, 0.05530799865722656, 0.05519974517822265, 0.05578342437744141, 0.0558040657043457, 0.05494972610473633, 0.05525219345092774, 0.057079807281494144, 0.055787521362304686, 0.055629825592041014, 0.05675417709350586, 0.05528780746459961, 0.055241825103759766, 0.05539728164672852, 0.05521379089355469, 0.05525503921508789, 0.0551611213684082, 0.05518854522705078, 0.05543360137939453, 0.05560335922241211, 0.055613311767578125, 0.0566890869140625, 0.05541897583007813, 0.05604755020141602, 0.05534668731689453, 0.05578604888916015, 0.05542502212524414, 0.05497577667236328, 0.05561401748657226, 0.05516304016113281, 0.05508025741577149, 0.054973121643066405, 0.055027584075927734, 0.05484966278076172, 0.05581340789794922, 0.055032543182373043, 0.05492095947265625, 0.054943519592285155, 0.05477833557128906, 0.05509529495239258, 0.05499699020385742, 0.05495772933959961, 0.05511993789672852, 0.0553331527709961, 0.05651456069946289, 0.05539583969116211, 0.055865856170654295, 0.055100513458251954, 0.05526620864868164, 0.055228416442871096, 0.055134239196777346, 0.05543423843383789, 0.05564483261108399, 0.05525740814208984, 0.055621631622314455, 0.05564147186279297, 0.05515532684326172, 0.05494534301757813, 0.054986785888671875, 0.05583686447143555, 0.05580729675292969, 0.05576492691040039, 0.05569839859008789, 0.05599846267700195, 0.056698654174804686, 0.055648479461669925, 0.05553164672851563, 0.05523862457275391, 0.055142303466796876, 0.055553375244140626, 0.05706752014160156, 0.05819827270507812, 0.05634841537475586, 0.056561279296875, 0.05623027038574219, 0.05562531280517578, 0.056348545074462894, 0.05646390533447266, 0.05628518295288086, 0.05563187026977539, 0.055416831970214846, 0.05545555114746094, 0.05562572860717773, 0.055429409027099606, 0.055258689880371095, 0.05542287826538086, 0.055632320404052735, 0.055592414855957034, 0.05594972610473633, 0.05592281723022461, 0.05554755020141602, 0.0554700813293457, 0.055546207427978514, 0.055358623504638674, 0.055279678344726565, 0.055376670837402345, 0.055424415588378906, 0.055241310119628906, 0.055377246856689454, 0.05562771224975586, 0.055136993408203126, 0.055191551208496094, 0.05540214538574219, 0.05537766265869141, 0.05518191909790039, 0.055580673217773435, 0.055901470184326174, 0.05610755157470703, 0.0560043830871582, 0.05632601547241211, 0.05584076690673828, 0.055560737609863284, 0.05566873550415039, 0.05551276779174805, 0.05521440124511719, 0.055406593322753904, 0.05573836898803711, 0.05616844940185547, 0.0555601921081543, 0.05572217559814453, 0.0555618896484375, 0.05564432144165039, 0.059172863006591796, 0.05560432052612305, 0.05534563064575195, 0.05606649780273437, 0.055811264038085937, 0.05625468826293945, 0.05623814392089844, 0.05544806289672852, 0.05677878570556641, 0.057450496673583984, 0.058347518920898435, 0.05654118347167969, 0.05567465591430664, 0.05564992141723633, 0.055365665435791016, 0.05512044906616211, 0.05511372756958008, 0.055398494720458984, 0.05515599822998047, 0.05521267318725586, 0.05502975845336914, 0.05492326354980469, 0.05492736053466797, 0.05509734344482422, 0.055209983825683595, 0.055139457702636716, 0.055081855773925784, 0.05579980850219726, 0.055096736907958986, 0.05525974273681641, 0.0554881591796875, 0.05559331130981445, 0.05525436782836914, 0.055081375122070314, 0.055271678924560544, 0.05515468978881836, 0.05532876968383789, 0.05543529510498047, 0.05567881774902344, 0.05551020812988281, 0.05588848114013672, 0.05555971145629883, 0.05539827346801758, 0.05536016082763672, 0.05573625564575195, 0.05523852920532227, 0.054870494842529295, 0.05494988632202148, 0.05545779037475586, 0.05561548614501953, 0.055968799591064454, 0.055503841400146484, 0.05577536010742187, 0.05551251220703125, 0.05541654586791992, 0.05559497451782226, 0.055401374816894534, 0.05535728073120117, 0.05550284957885742, 0.05550694274902344, 0.056641696929931644, 0.05520780944824219, 0.05516025543212891, 0.0558515510559082, 0.05522227096557617, 0.05536486434936523, 0.05543958282470703, 0.05573020935058594, 0.055487102508544925, 0.055543838500976564, 0.05508694458007812, 0.05535696029663086, 0.05522016143798828, 0.05498223876953125, 0.05882470321655273, 0.056438785552978515, 0.05615411376953125, 0.05547212982177734, 0.05592623901367187, 0.055218273162841794, 0.05547462463378906, 0.056123390197753906, 0.05585286331176758, 0.05532281494140625, 0.05552742385864258, 0.05582233428955078, 0.055414783477783204, 0.055201793670654295, 0.05496409606933594, 0.05524067306518555, 0.05494185638427734, 0.055318145751953124, 0.05520528030395508, 0.05635945510864258, 0.05603350448608398, 0.05537606430053711, 0.055387359619140625, 0.05542995071411133, 0.05499903869628906, 0.05530624008178711, 0.05503180694580078, 0.05497782516479492, 0.05507702255249024, 0.05547462463378906, 0.0552940788269043, 0.05560659027099609, 0.05535801696777344, 0.05527369689941406, 0.05520169448852539, 0.05525449752807617, 0.05773366546630859, 0.056606048583984374, 0.05637295913696289, 0.05533545684814453, 0.05561401748657226, 0.05607408142089844, 0.05584691238403321, 0.05565625762939453, 0.05536582565307617, 0.055093246459960936, 0.0547852783203125, 0.05499478530883789, 0.05503683090209961, 0.055093246459960936, 0.0549378890991211, 0.055196670532226565, 0.05517548751831055, 0.05502163314819336, 0.05486627197265625, 0.055276927947998045, 0.05575904083251953, 0.055412544250488284, 0.05493404769897461, 0.055160926818847655, 0.055330814361572264, 0.05523251342773437, 0.05502361679077149, 0.05624889755249023, 0.0563138542175293, 0.05663558578491211, 0.05600387191772461, 0.055376415252685544, 0.054935550689697264, 0.055504894256591795, 0.054975807189941404, 0.054923969268798827, 0.055144447326660156, 0.05526534271240234, 0.055328704833984374, 0.055188575744628904, 0.05507984161376953, 0.054861598968505856, 0.05546006393432617, 0.055479488372802734, 0.05544537734985352, 0.055043006896972654, 0.05551513671875, 0.055943168640136716, 0.05636710357666016, 0.055183040618896485, 0.055626049041748046, 0.056741886138916016, 0.05542652893066406, 0.057385440826416015, 0.05499283218383789, 0.05480857467651367, 0.055381824493408206, 0.055162239074707034, 0.05519251251220703, 0.055116031646728514, 0.05519113540649414, 0.05490713500976562, 0.05512796783447266, 0.05484051132202149, 0.054997825622558595, 0.056234046936035155, 0.05545331192016602, 0.05501984024047851, 0.05518457412719727, 0.0550838394165039, 0.05501337432861328, 0.054994335174560545, 0.05532505416870117, 0.05508086395263672, 0.05490118408203125, 0.055190494537353516, 0.05521321487426758, 0.055150367736816405, 0.05530771255493164, 0.05518150329589844, 0.055204513549804685, 0.054842239379882814, 0.05474150466918945, 0.05538623809814453, 0.055212223052978515, 0.05511167907714844, 0.05469785690307617, 0.05483663940429687, 0.05475187301635742, 0.055244895935058595, 0.056884639739990236, 0.05594940948486328, 0.056449535369873044, 0.055914081573486325, 0.0561176643371582, 0.055613567352294925, 0.05535878372192383, 0.05533078384399414, 0.05566320037841797, 0.05538127899169922, 0.055314910888671874, 0.05512015914916992, 0.05659971237182617, 0.05548524856567383, 0.05540454483032226, 0.056038753509521484, 0.05537843322753906, 0.05533929443359375, 0.05505606460571289, 0.05489273452758789, 0.056043521881103515, 0.05568044662475586, 0.05576556777954102, 0.055076862335205076, 0.05518915176391601, 0.055081279754638675, 0.0551440315246582, 0.05514284896850586, 0.05499859237670898, 0.05481868743896484, 0.05485830307006836, 0.05504735946655273, 0.05489337539672851, 0.05532467269897461, 0.05966412734985352, 0.05732172775268555, 0.05601046371459961, 0.055544097900390624, 0.05603440093994141, 0.05536767959594727, 0.05551196670532227, 0.055554046630859374, 0.0557704963684082, 0.05565856170654297, 0.05545151901245117, 0.05551993560791016, 0.05616025543212891, 0.055504894256591795, 0.055424671173095706, 0.05553180694580078, 0.05535136032104492, 0.055973888397216794, 0.055379615783691404, 0.05573462295532226, 0.05527532958984375, 0.05568531036376953, 0.05585919952392578, 0.05609881591796875, 0.05596556854248047, 0.05517119979858399, 0.05512716674804687, 0.05491801452636719, 0.054902782440185545, 0.06077433776855469, 0.056752574920654296, 0.056231552124023435, 0.0560766716003418, 0.056199169158935545, 0.05596899032592773, 0.05563228988647461, 0.05532710266113281, 0.05550630569458008, 0.055206432342529296, 0.05533091354370117, 0.0553963508605957, 0.05526323318481445, 0.055465984344482425, 0.055303199768066406, 0.05537891387939453, 0.055035903930664064, 0.05558988952636719, 0.05533363342285156, 0.055058017730712894, 0.055359840393066406, 0.05572025680541992, 0.055547904968261716, 0.055387840270996094, 0.055204158782958986, 0.05479372787475586, 0.05483737564086914, 0.05483763122558594, 0.05482495880126953, 0.055054336547851565, 0.05508095932006836, 0.05550662231445312, 0.055553375244140626, 0.05558700942993164, 0.05528236770629883, 0.055406719207763674, 0.0558612174987793, 0.05621894454956055, 0.05605635070800781, 0.05608995056152344, 0.055802497863769535, 0.055543872833251955, 0.055400577545166016, 0.055039710998535156, 0.05499523162841797, 0.055510814666748044, 0.05534332656860352, 0.055482368469238284, 0.05588582229614258, 0.05558249664306641, 0.05522454452514648, 0.05569945526123047, 0.05503395080566406, 0.05577308654785156, 0.055142398834228515, 0.05520608139038086, 0.055699264526367184, 0.055955265045166014, 0.05576828765869141, 0.05892195129394531, 0.055624832153320314, 0.05525910568237305, 0.05886374282836914, 0.05647974395751953, 0.05635289764404297, 0.05560224151611328, 0.05577299118041992, 0.05538265609741211, 0.0551325454711914, 0.05501449584960937, 0.055032958984375, 0.05508415985107422, 0.05514307022094726, 0.054978561401367185, 0.054902782440185545, 0.05498448181152344, 0.055281982421875, 0.05524854278564453, 0.055118080139160155, 0.05533695983886719, 0.05534310531616211, 0.055037086486816406, 0.055370590209960935, 0.05507193756103516, 0.056412353515625, 0.055511199951171875, 0.05506505584716797, 0.05472051239013672, 0.054994430541992184, 0.05555014419555664, 0.05551340866088867, 0.055158782958984375, 0.055520927429199216, 0.05529651260375976, 0.055341983795166014, 0.055186336517333984, 0.055299297332763675, 0.05553644943237305, 0.055567615509033205, 0.05945113754272461, 0.05606838226318359, 0.05565216064453125, 0.05638032150268555, 0.05642444610595703, 0.05588918304443359, 0.055773246765136716, 0.05620095825195313, 0.05554064178466797, 0.05527072143554688, 0.05515852737426758, 0.05684320068359375, 0.055103488922119144, 0.05522604751586914, 0.05631935882568359, 0.055382976531982424, 0.05587353515625, 0.05658582305908203, 0.05590585708618164, 0.055935775756835934, 0.055109535217285156, 0.05544668960571289, 0.05531862258911133, 0.055127071380615233, 0.054939521789550784, 0.05649513626098633, 0.05531523132324219, 0.05801571273803711, 0.05600732803344727, 0.05537411117553711, 0.055838623046875, 0.05587260818481445, 0.05598310470581055, 0.05553919982910156, 0.055269214630126955, 0.05553424072265625, 0.05574879837036133, 0.05592655944824219, 0.05559699249267578, 0.05591027069091797, 0.05571196746826172, 0.05583987045288086, 0.0556960334777832, 0.055202014923095705, 0.05532380676269531, 0.055913505554199217, 0.05741654586791992, 0.0552652473449707, 0.05557164764404297, 0.05551699066162109, 0.0551464958190918, 0.055070720672607425, 0.05511999893188477, 0.05574639892578125, 0.055388191223144534, 0.055504894256591795, 0.055541728973388674, 0.05519555282592774, 0.055126144409179685, 0.055432960510253905, 0.05585027313232422, 0.05587385559082031, 0.05710300827026367, 0.05586454391479492, 0.05568796920776367, 0.05492464065551758, 0.05618960189819336, 0.05660467147827149, 0.05593267059326172, 0.05558531188964844, 0.055473377227783206, 0.05557030487060547, 0.05526796722412109, 0.05554604721069336, 0.055199295043945315, 0.055013633728027346, 0.055316478729248046, 0.055998271942138675, 0.05537401580810547, 0.05568511962890625, 0.05550688171386719, 0.05548652648925781, 0.05571993637084961, 0.05521641540527344, 0.055170303344726564, 0.055593246459960936, 0.05597187042236328, 0.05529337692260742, 0.05520457458496094, 0.05539430236816406]",tokens/s,17.99708008995621,,
-8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+8bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6692,9 +6692,9 @@ ChildProcessError: Traceback (most recent call last):
     return self.pretrained_model.generate(**inputs, **kwargs)
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
     return func(*args, **kwargs)
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
     result = self._sample(
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
     outputs = self(**model_inputs, return_dict=True)
   File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
     return self._call_impl(*args, **kwargs)
@@ -6741,7 +6741,7 @@ ChildProcessError: Traceback (most recent call last):
 RuntimeError: FlashAttention only supports Ampere GPUs or newer.
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+4bit-bnb-flash_attention_2,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,flash_attention_2,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6763,9 +6763,9 @@ ChildProcessError: Traceback (most recent call last):
     return self.pretrained_model.generate(**inputs, **kwargs)
   File ""/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py"", line 116, in decorate_context
     return func(*args, **kwargs)
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2048, in generate
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 2047, in generate
     result = self._sample(
-  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3008, in _sample
+  File ""/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py"", line 3007, in _sample
     outputs = self(**model_inputs, return_dict=True)
   File ""/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py"", line 1553, in _wrapped_call_impl
     return self._call_impl(*args, **kwargs)
@@ -6813,7 +6813,7 @@ RuntimeError: FlashAttention only supports Ampere GPUs or newer.
 
 ",True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
 8bit-bnb-eager,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,eager,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,,,MB,8724.11136,4515.037184,0.0,4112.515072,4056.160256,s,1,22.604189453125,22.604189453125,0.0,22.604189453125,22.604189453125,22.604189453125,22.604189453125,[22.604189453125],,kWh,0.0004040408390375167,4.4561447858412135e-05,0.0001301873263720027,0.0005787896132679316,,MB,2056.462336,4898.816,0.0,4475.322368,4373.26336,s,10,0.9307263183593749,0.09307263183593749,0.0029256204593348526,0.09225484466552734,0.09331636123657226,0.09755691566467285,0.10094935920715332,"[0.10179747009277344, 0.09192726135253906, 0.09124150085449219, 0.09227510070800782, 0.09223458862304687, 0.09222991943359375, 0.0923463363647461, 0.09237401580810548, 0.09228873443603515, 0.09201139068603516]",tokens/s,2750.54003470387,kWh,2.6929739797782285e-06,2.9697888643981385e-07,1.7894942960183002e-06,4.779447162236343e-06,tokens/kWh,53562680.224341154,MB,2069.938176,4900.913152,0.0,4475.322368,4344.50176,s,10,58.55696630859375,5.855696630859375,0.012584317840700344,5.854067138671875,5.868887988281251,5.87427919921875,5.87859216796875,"[5.8501884765625, 5.84744921875, 5.86768994140625, 5.85794580078125, 5.86663037109375, 5.860470703125, 5.84160400390625, 5.87967041015625, 5.84901220703125, 5.83630517578125]",tokens/s,10.758754076840589,kWh,0.0001702749199798042,1.8781967096819756e-05,7.00103964771815e-05,0.0002590672835538055,tokens/kWh,243180.06942360813,,s,630,58.552865600585925,0.09294105650886657,0.0008694255140964443,0.09280662536621094,0.0937010971069336,0.09424003372192383,0.09583510910034179,"[0.09241990661621094, 0.09280941009521484, 0.09376054382324218, 0.09285513305664063, 0.09753961944580078, 0.09307129669189453, 0.09262147521972657, 0.09267814636230469, 0.09282355499267578, 0.09258710479736328, 0.09241203308105468, 0.09608477020263671, 0.0930035171508789, 0.09292352294921875, 0.09255999755859375, 0.09350678253173828, 0.092391357421875, 0.09268720245361328, 0.0927693099975586, 0.09271327972412109, 0.09254889678955078, 0.09333439636230469, 0.09232179260253906, 0.09226649475097656, 0.09241600036621093, 0.09222758483886719, 0.09204230499267578, 0.09270681762695313, 0.09383177947998046, 0.09259164428710938, 0.09225901031494141, 0.0921396484375, 0.09191321563720703, 0.09192095947265624, 0.09213174438476562, 0.09264335632324219, 0.09272525024414062, 0.09245081329345703, 0.09214495849609375, 0.09275865936279297, 0.09287071990966797, 0.09403724670410156, 0.09275059509277343, 0.09194806671142577, 0.09186748504638671, 0.09320716857910157, 0.09216393280029297, 0.0927213134765625, 0.09250956726074219, 0.09218726348876953, 0.09251548767089844, 0.0927649917602539, 0.09320246124267578, 0.0930365447998047, 0.0947240982055664, 0.09351577758789062, 0.09331916809082032, 0.09303411102294921, 0.09283779144287109, 0.09295423889160156, 0.09244758605957032, 0.09273343658447265, 0.092857666015625, 0.09262882995605469, 0.09189737701416016, 0.09230332946777343, 0.093538818359375, 0.09228902435302734, 0.09314918518066406, 0.09224192047119141, 0.09228006744384766, 0.09246310424804688, 0.09307577514648438, 0.0928025894165039, 0.09276918029785156, 0.09406646728515625, 0.09345455932617187, 0.09281321716308594, 0.09288508605957031, 0.09271501159667969, 0.09235033416748047, 0.09236259460449218, 0.09236918640136718, 0.09356082916259766, 0.09331302642822266, 0.0927088623046875, 0.09233612823486329, 0.09265065765380859, 0.0925409927368164, 0.09233484649658204, 0.09281897735595702, 0.09241036987304688, 0.09269379425048828, 0.09270105743408204, 0.092846435546875, 0.09297673797607423, 0.09242870330810547, 0.09259622192382813, 0.09333900451660156, 0.09251222229003907, 0.09250473785400391, 0.09308159637451172, 0.09225596618652344, 0.09214147186279296, 0.0923689956665039, 0.09288835144042969, 0.09336934661865234, 0.09227878570556641, 0.0924483871459961, 0.09292192077636718, 0.0930552978515625, 0.09667110443115234, 0.09363314819335937, 0.0927088623046875, 0.09267609405517578, 0.09261670684814453, 0.09235250854492187, 0.09296249389648438, 0.095919677734375, 0.09290118408203125, 0.0926666259765625, 0.09222297668457032, 0.09243097686767578, 0.0923095703125, 0.09229312133789062, 0.09228902435302734, 0.09279808044433593, 0.09302719879150391, 0.09259740447998047, 0.09272838592529296, 0.09252384185791016, 0.09265363311767578, 0.09279923248291015, 0.0930797119140625, 0.09350553894042969, 0.09317375946044922, 0.0928680648803711, 0.09298512268066406, 0.0933096923828125, 0.09303961944580078, 0.09330735778808594, 0.09245772552490235, 0.09246864318847656, 0.09303065490722656, 0.09293801879882813, 0.09258428955078125, 0.09332121276855469, 0.0930672607421875, 0.09342156982421874, 0.09308544158935547, 0.09283309173583984, 0.09287570953369141, 0.09262899017333984, 0.09270066833496093, 0.09295667266845703, 0.0925450210571289, 0.09263900756835937, 0.09567036437988281, 0.09231775665283203, 0.09322038269042969, 0.09497654724121093, 0.09312617492675782, 0.09254755401611328, 0.09317581176757812, 0.09394697570800781, 0.09327094268798829, 0.0933349151611328, 0.09328704071044921, 0.09327568054199219, 0.09325615692138672, 0.09268019104003906, 0.09261798095703125, 0.09360009765625, 0.09303081512451172, 0.09306304168701172, 0.09330636596679688, 0.09249222564697265, 0.09254112243652343, 0.09306931304931641, 0.09304268646240234, 0.09316867065429688, 0.09286959838867187, 0.09578201293945313, 0.09360259246826172, 0.09284207916259765, 0.09383116912841796, 0.09358512115478515, 0.09305104064941407, 0.0936849594116211, 0.09261443328857422, 0.09369961547851563, 0.09259613037109375, 0.09304271697998047, 0.09280384063720704, 0.09269657897949218, 0.09232793426513672, 0.09281692504882813, 0.09244924926757812, 0.09244207763671874, 0.0920499496459961, 0.09220841979980468, 0.09301033782958984, 0.09258425903320312, 0.09291571044921874, 0.0936377944946289, 0.09309426879882812, 0.09230595397949219, 0.092970947265625, 0.09269049835205079, 0.09241593933105469, 0.09212928009033203, 0.09273548889160156, 0.09261055755615234, 0.092368896484375, 0.09304064178466796, 0.09276374053955078, 0.0942391357421875, 0.09384754943847656, 0.09251580810546875, 0.09260015869140625, 0.09238803100585938, 0.09194416046142578, 0.09206864166259765, 0.09263667297363282, 0.10436662292480468, 0.09320649719238282, 0.09285017395019532, 0.09255020904541016, 0.09350444793701172, 0.09245481872558593, 0.09272739410400391, 0.09322086334228516, 0.09259986877441406, 0.09320492553710938, 0.0939599380493164, 0.09300812530517578, 0.09262079620361328, 0.09306313323974609, 0.0926781768798828, 0.09355216217041015, 0.09315074920654297, 0.09321746826171876, 0.09224217224121094, 0.09254438018798829, 0.09231603240966797, 0.09292006683349609, 0.09268633270263672, 0.09221324920654297, 0.0928025894165039, 0.09280953979492187, 0.09331283569335938, 0.09251398468017578, 0.09425711822509765, 0.09299846649169922, 0.09233293151855469, 0.0922051544189453, 0.0925453109741211, 0.09263507080078125, 0.09287129974365234, 0.0930439682006836, 0.0940115509033203, 0.09285692596435546, 0.09244166564941406, 0.09257660675048827, 0.09244681549072266, 0.09424076843261718, 0.09448384094238281, 0.09353270721435547, 0.09301001739501953, 0.09314214324951171, 0.0935146255493164, 0.09335721588134765, 0.09333987426757813, 0.09293478393554687, 0.09292374420166015, 0.09269590759277344, 0.09242707061767579, 0.09375334167480469, 0.09366876983642577, 0.09257635498046875, 0.09236070251464844, 0.09380217742919922, 0.09304201507568359, 0.09257820892333984, 0.09277702331542968, 0.09282559967041015, 0.09274777221679688, 0.09550748443603516, 0.0950708770751953, 0.09293254089355468, 0.09334259033203125, 0.09400972747802734, 0.09312089538574218, 0.09270448303222656, 0.09292797088623046, 0.09274425506591796, 0.09289727783203125, 0.09254297637939453, 0.09225968170166016, 0.09312429046630859, 0.0925992660522461, 0.092446044921875, 0.09329670715332031, 0.0935348129272461, 0.0931942367553711, 0.09263894653320312, 0.09300816345214843, 0.09277849578857422, 0.0927457275390625, 0.09319136047363281, 0.09385657501220702, 0.09280281829833985, 0.09295037078857422, 0.09320285034179687, 0.09384060668945313, 0.09274745941162109, 0.0951053466796875, 0.09325103759765625, 0.09251593780517578, 0.09214771270751954, 0.0924865951538086, 0.0928951644897461, 0.09492896270751953, 0.09303190612792969, 0.09340694427490234, 0.09365792083740235, 0.09273452758789062, 0.09235346984863281, 0.09277030181884766, 0.09483993530273438, 0.09779472351074218, 0.09278691101074218, 0.0922603530883789, 0.09272659301757813, 0.09309398651123046, 0.09312271881103516, 0.09323101043701172, 0.09269213104248047, 0.09346038055419922, 0.09288706970214844, 0.09218294525146484, 0.0929817886352539, 0.09264259338378907, 0.09215049743652344, 0.09210675048828125, 0.09273926544189454, 0.09353855895996094, 0.09272531127929687, 0.09279897308349609, 0.09336000061035156, 0.09226866912841797, 0.09211872100830078, 0.09284435272216797, 0.09252454376220703, 0.09286809539794921, 0.0929359359741211, 0.09259699249267578, 0.09285222625732421, 0.09397452545166016, 0.09221324920654297, 0.09273139190673828, 0.09199616241455078, 0.09238527679443359, 0.09305244445800781, 0.09255369567871094, 0.09238470458984376, 0.09280329895019532, 0.09236908721923828, 0.09277244567871094, 0.092917724609375, 0.09320851135253906, 0.09282575988769531, 0.09523814392089844, 0.0935198745727539, 0.09244608306884766, 0.09272723388671875, 0.09342806243896484, 0.09337071990966797, 0.0932515869140625, 0.0931954574584961, 0.09354528045654296, 0.09275801849365234, 0.09251248168945313, 0.09346975708007813, 0.09284681701660157, 0.09235763549804688, 0.09209548950195312, 0.09287407684326172, 0.09305760192871093, 0.09276179504394531, 0.09290509033203125, 0.0931725082397461, 0.09338819122314453, 0.09560944366455078, 0.0936377944946289, 0.09314201354980468, 0.09326092529296875, 0.09327267456054687, 0.09226390075683594, 0.09227529907226563, 0.09238278198242188, 0.09259059143066406, 0.0925880355834961, 0.09161740875244141, 0.09151222229003907, 0.09192723083496093, 0.09189311981201172, 0.09159049224853516, 0.09190691375732422, 0.09146057891845703, 0.09204112243652343, 0.09204822540283203, 0.09203024291992187, 0.09198870086669922, 0.09187260437011718, 0.09259894561767579, 0.0928194580078125, 0.09252812957763672, 0.09264383697509766, 0.092295166015625, 0.09233309173583984, 0.09208930969238281, 0.09218457794189452, 0.09226834869384766, 0.09285171508789063, 0.09271347045898437, 0.09276025390625, 0.09273750305175782, 0.09456416320800781, 0.0945830078125, 0.0930027847290039, 0.09268323516845703, 0.09258972930908203, 0.09189615631103516, 0.09254208374023437, 0.09279551696777344, 0.09332310485839844, 0.09442278289794923, 0.09284470367431641, 0.09293977355957031, 0.09304029083251954, 0.09303836822509766, 0.09261260986328125, 0.09237443542480468, 0.09309609222412109, 0.0929952621459961, 0.09305174255371093, 0.09292288208007812, 0.09318287658691406, 0.09281523132324218, 0.09343398284912109, 0.09393561553955078, 0.09414041900634766, 0.09320230102539062, 0.09304486083984374, 0.09324476623535156, 0.09364723205566407, 0.09331910705566407, 0.09285187530517579, 0.09302291107177735, 0.09293734741210938, 0.09340579223632813, 0.09326620483398437, 0.09339836883544922, 0.0941021728515625, 0.09291980743408203, 0.09272505950927734, 0.09326595306396485, 0.09295887756347657, 0.09282559967041015, 0.09294028472900391, 0.09257772827148437, 0.09291494750976563, 0.0930558090209961, 0.09433216094970703, 0.09420877075195312, 0.09258377838134765, 0.09380265808105469, 0.09585679626464844, 0.09327353668212891, 0.09297090911865234, 0.09349715423583985, 0.09343865966796874, 0.0934993896484375, 0.09347789001464844, 0.09309900665283204, 0.09290505981445313, 0.09339126586914062, 0.09303798675537109, 0.09341398620605469, 0.09380659484863281, 0.09270066833496093, 0.09302425384521484, 0.09302979278564454, 0.09334025573730469, 0.09376563262939454, 0.09344569396972656, 0.09310457611083985, 0.09322467041015625, 0.09506025695800781, 0.09360969543457032, 0.0942553939819336, 0.0933431396484375, 0.09343366241455078, 0.09227648162841796, 0.09275801849365234, 0.09250342559814453, 0.09341110229492187, 0.09215062713623047, 0.0923884506225586, 0.09295702362060547, 0.09238175964355469, 0.09250201416015626, 0.09242124938964844, 0.09232383728027344, 0.09242835235595703, 0.09209696197509766, 0.09213910675048828, 0.09251715087890625, 0.09249295806884765, 0.0926114273071289, 0.09322434997558594, 0.09306787109375, 0.09282073974609376, 0.09238604736328125, 0.09307135772705079, 0.09252454376220703, 0.09201254272460938, 0.09238057708740234, 0.09248745727539062, 0.09241069030761719, 0.09207177734375, 0.09170336151123047, 0.09228092956542969, 0.09530092620849609, 0.09393017578125, 0.09234432220458984, 0.09244057464599609, 0.09296076965332031, 0.09236406707763672, 0.09236534118652344, 0.09173216247558594, 0.094060546875, 0.09290310668945312, 0.0937265625, 0.09318777465820313, 0.0934612808227539, 0.09299075317382813, 0.09290825653076172, 0.09320652770996093, 0.09332681274414062, 0.09277471923828125, 0.0924428482055664, 0.09371443176269531, 0.09297837066650391, 0.09353094482421875, 0.0929928970336914, 0.09379657745361328, 0.093999267578125, 0.0934010238647461, 0.09266617584228516, 0.09298880004882812, 0.09248627471923829, 0.09255321502685547, 0.09318195343017578, 0.09279686737060547, 0.09424272155761719, 0.09215955352783203, 0.09205987548828125, 0.09247142028808594, 0.09263967895507813, 0.0921145248413086, 0.09179587554931641, 0.09156559753417969, 0.09244515228271484, 0.09225625610351562, 0.09259129333496094, 0.0929201889038086, 0.0928543701171875, 0.09197555541992188, 0.09208675384521485, 0.09205094146728515, 0.09191404724121094, 0.09350406646728515, 0.09284416198730469, 0.09239961242675782, 0.0921777572631836, 0.09285401916503906, 0.09290396881103516, 0.09244009399414063, 0.092631103515625, 0.09258195495605469, 0.09232434844970704, 0.09227001953125, 0.09165494537353516, 0.09401344299316407, 0.09528678131103516, 0.0925040283203125, 0.09248617553710937, 0.09295053100585937, 0.09219417572021485, 0.09271155548095703, 0.09298124694824218, 0.09299353790283203, 0.09266738891601563, 0.09436726379394532, 0.09434786987304687, 0.09268262481689453, 0.09270681762695313, 0.09272223663330079, 0.09342047882080078, 0.09220095825195312, 0.0922460174560547, 0.09206374359130859, 0.09256755065917968, 0.09284194946289062, 0.09190576171875, 0.09241776275634765, 0.09198857879638672, 0.09204239654541016, 0.09261551666259765, 0.09288038635253906, 0.09249148559570312, 0.09245148468017578, 0.09293750762939453, 0.09357398223876953, 0.09199801635742187, 0.09264351654052734, 0.09409126281738281, 0.0924254379272461]",tokens/s,10.75950755847713,,
-8bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+8bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,True,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch
@@ -6848,7 +6848,7 @@ ChildProcessError: Traceback (most recent call last):
 ValueError: Phi3ForCausalLM does not support an attention implementation through torch.nn.functional.scaled_dot_product_attention yet. Please request the support for this architecture: https://github.com/huggingface/transformers/issues/28005. If you believe this error is a bug, please open an issue in Transformers GitHub repository and load your model with the argument `attn_implementation=""eager""` meanwhile. Example: `model = AutoModel.from_pretrained(""openai/whisper-tiny"", attn_implementation=""eager"")`
 
 ",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
-4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.1,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
+4bit-bnb-sdpa,pytorch,2.4.1+cu124,optimum_benchmark.backends.pytorch.backend.PyTorchBackend,text-generation,transformers,phi3,microsoft/Phi-3-mini-4k-instruct,microsoft/Phi-3-mini-4k-instruct,cuda,0,42,,,True,True,,float16,True,False,,sdpa,,False,,False,forward,bnb,0.0,,False,,inference,optimum_benchmark.scenarios.inference.scenario.InferenceScenario,10,10,10,1,2,256,,True,True,True,64,64,process,optimum_benchmark.launchers.process.launcher.ProcessLauncher,True,kill,False,spawn, Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz,8,33163.759616,Linux,x86_64,Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35,x86_64,3.10.12,['Tesla T4'],1,16106127360,0.5.0,,4.45.2,,0.34.2,,,,1.22.0,,,,0.13.0,,"Traceback (most recent call last):
   File ""/workspace/src/common/benchmark_runner.py"", line 118, in execute_and_log_benchmark
     benchmark_report = Benchmark.launch(benchmark_config)
   File ""/usr/local/lib/python3.10/dist-packages/optimum_benchmark/benchmark/base.py"", line 47, in launch