Hugging Face's logo

Datasets:
optimum-benchmark
/
pytorch-llama

Dataset card Files Community
pytorch-llama / benchmarks /pytorch-llama-2.3.0-float16.json
IlyasMoutawwakil's picture
IlyasMoutawwakil HF staff
Upload benchmarks/pytorch-llama-2.3.0-float16.json with huggingface_hub
614dafc verified
raw
history blame contribute delete
21.4 kB
{
"config": {
"name": "pytorch-llama",
"backend": {
"name": "pytorch",
"version": "2.3.0",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model": "meta-llama/Llama-2-7b-hf",
"processor": "meta-llama/Llama-2-7b-hf",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"model_kwargs": {},
"processor_kwargs": {},
"hub_kwargs": {},
"no_weights": true,
"device_map": null,
"torch_dtype": "float16",
"eval_mode": true,
"to_bettertransformer": false,
"low_cpu_mem_usage": null,
"attn_implementation": null,
"cache_implementation": null,
"autocast_enabled": false,
"autocast_dtype": null,
"torch_compile": false,
"torch_compile_target": "forward",
"torch_compile_config": {},
"quantization_scheme": null,
"quantization_config": {},
"deepspeed_inference": false,
"deepspeed_inference_config": {},
"tensor_parallel": false,
"peft_type": null,
"peft_config": {}
},
"scenario": {
"name": "inference",
"_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario",
"iterations": 10,
"duration": 10,
"warmup_runs": 10,
"input_shapes": {
"batch_size": 1,
"num_choices": 2,
"sequence_length": 128
},
"new_tokens": null,
"latency": true,
"memory": true,
"energy": false,
"forward_kwargs": {},
"generate_kwargs": {
"max_new_tokens": 32,
"min_new_tokens": 32
},
"call_kwargs": {}
},
"launcher": {
"name": "process",
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
"device_isolation": true,
"device_isolation_action": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7742 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 540671.627264,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.4.0-166-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"NVIDIA A100-SXM4-80GB",
"NVIDIA A100-SXM4-80GB",
"NVIDIA A100-SXM4-80GB",
"NVIDIA DGX Display",
"NVIDIA A100-SXM4-80GB"
],
"gpu_count": 5,
"gpu_vram_mb": 347892350976,
"optimum_benchmark_version": "0.2.1",
"optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c",
"transformers_version": "4.41.1",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": null,
"diffusers_commit": null,
"optimum_version": "1.20.0",
"optimum_commit": null,
"timm_version": null,
"timm_commit": null,
"peft_version": "0.11.1",
"peft_commit": null
}
},
"report": {
"prefill": {
"memory": {
"unit": "MB",
"max_ram": 1227.485184,
"max_global_vram": 15218.966528,
"max_process_vram": 14292.09088,
"max_reserved": 13759.414272,
"max_allocated": 13578.50368
},
"latency": {
"unit": "s",
"count": 11,
"total": 0.33348883247375494,
"mean": 0.030317166588523178,
"stdev": 0.0006808782450806106,
"p50": 0.030200544357299804,
"p90": 0.030986015319824218,
"p95": 0.03135895919799805,
"p99": 0.03165731430053711,
"values": [
0.03173190307617187,
0.030948896408081055,
0.03068956756591797,
0.030453184127807616,
0.029873664855957032,
0.030986015319824218,
0.030200544357299804,
0.029642112731933595,
0.029924224853515625,
0.029542335510253905,
0.029496383666992188
]
},
"throughput": {
"unit": "tokens/s",
"value": 4222.030433690182
},
"energy": null,
"efficiency": null
},
"decode": {
"memory": {
"unit": "MB",
"max_ram": 1227.485184,
"max_global_vram": 15218.966528,
"max_process_vram": 14292.09088,
"max_reserved": 13759.414272,
"max_allocated": 13657.83552
},
"latency": {
"unit": "s",
"count": 11,
"total": 10.365610290527345,
"mean": 0.9423282082297586,
"stdev": 0.011083219201782932,
"p50": 0.9396575927734375,
"p90": 0.9554216918945313,
"p95": 0.9603456420898437,
"p99": 0.9642848022460938,
"values": [
0.9652695922851563,
0.9370484619140625,
0.9452354736328125,
0.9422606811523437,
0.9396575927734375,
0.9554216918945313,
0.9331040649414063,
0.932161865234375,
0.9298218383789062,
0.931310546875,
0.9543184814453125
]
},
"throughput": {
"unit": "tokens/s",
"value": 32.89724294493536
},
"energy": null,
"efficiency": null
},
"per_token": {
"memory": null,
"latency": {
"unit": "s",
"count": 340,
"total": 10.636115966796876,
"mean": 0.03128269401999081,
"stdev": 0.005345889653283576,
"p50": 0.030132224082946777,
"p90": 0.03119851493835449,
"p95": 0.03183129644393921,
"p99": 0.060970833816528326,
"values": [
0.031073280334472656,
0.03139891242980957,
0.031197183609008788,
0.03141119956970215,
0.031120384216308594,
0.031143936157226562,
0.03181977653503418,
0.03158118438720703,
0.031438848495483396,
0.031048704147338867,
0.03205017471313477,
0.03077836799621582,
0.029928447723388672,
0.0299683837890625,
0.029938688278198244,
0.030219263076782226,
0.03061452865600586,
0.031148031234741212,
0.031123455047607423,
0.031510528564453126,
0.03125657653808594,
0.031118335723876952,
0.03124019241333008,
0.031086591720581053,
0.031032320022583007,
0.03147776031494141,
0.03156377601623535,
0.03160678482055664,
0.03129958343505859,
0.03143475151062012,
0.06258687973022461,
0.030999551773071288,
0.03094118309020996,
0.030883840560913086,
0.030267391204833984,
0.030338048934936523,
0.030442495346069336,
0.030108671188354492,
0.029937664031982423,
0.030014463424682617,
0.029875200271606447,
0.03015782356262207,
0.030728191375732423,
0.030130176544189452,
0.030060543060302734,
0.02998374366760254,
0.029997055053710937,
0.029501440048217774,
0.029851648330688478,
0.02997452735900879,
0.029884416580200194,
0.030724096298217773,
0.03058995246887207,
0.03017318344116211,
0.03034419250488281,
0.02992639923095703,
0.02996121597290039,
0.029831167221069335,
0.030067712783813476,
0.029856767654418945,
0.02995609664916992,
0.061211647033691405,
0.03102822494506836,
0.030716928482055664,
0.030514175415039063,
0.030458879470825196,
0.0307589111328125,
0.030826496124267577,
0.03038924789428711,
0.030666751861572264,
0.030298112869262695,
0.030434303283691407,
0.03059404754638672,
0.03057459259033203,
0.030996480941772462,
0.031040512084960937,
0.03078451156616211,
0.030276607513427735,
0.03031449508666992,
0.030518272399902343,
0.030305280685424804,
0.0301977596282959,
0.030195711135864257,
0.030451711654663087,
0.030279680252075194,
0.02997657585144043,
0.03019161605834961,
0.03021004867553711,
0.030331903457641602,
0.030256128311157225,
0.030503936767578125,
0.030621696472167968,
0.06128844833374023,
0.02996019172668457,
0.030069759368896484,
0.02996326446533203,
0.0301711368560791,
0.029783039093017577,
0.03156172752380371,
0.033949695587158206,
0.03012505531311035,
0.02991001510620117,
0.030093311309814453,
0.030284799575805665,
0.03017932891845703,
0.029879295349121093,
0.030256128311157225,
0.0304005126953125,
0.030342144012451173,
0.03034316825866699,
0.030423040390014647,
0.030135295867919923,
0.030357503890991212,
0.03017932891845703,
0.030473215103149414,
0.030493696212768553,
0.03035238456726074,
0.029899776458740233,
0.03038515281677246,
0.030277631759643556,
0.030272512435913085,
0.030552064895629883,
0.03040358352661133,
0.06059417724609375,
0.030332927703857423,
0.03003392028808594,
0.030119935989379884,
0.030078975677490235,
0.030011392593383788,
0.030120960235595705,
0.03017728042602539,
0.030134271621704102,
0.029839359283447265,
0.030063615798950196,
0.02993971252441406,
0.030225408554077147,
0.030040063858032227,
0.029928447723388672,
0.030212095260620117,
0.030067712783813476,
0.030315519332885742,
0.02980147171020508,
0.030082048416137694,
0.0299683837890625,
0.02997555160522461,
0.030086143493652344,
0.03022643280029297,
0.03098931121826172,
0.031122432708740235,
0.031247360229492187,
0.030840831756591795,
0.030888959884643553,
0.030846975326538087,
0.03121049690246582,
0.06288896179199219,
0.030744575500488282,
0.030449663162231445,
0.030307327270507813,
0.030925823211669923,
0.0303687686920166,
0.03053670310974121,
0.03036672019958496,
0.030291967391967774,
0.031016960144042968,
0.03396710586547851,
0.03447091293334961,
0.036863998413085936,
0.03136716842651367,
0.030459903717041017,
0.030306304931640625,
0.03062579154968262,
0.03041279983520508,
0.030220287322998047,
0.03019161605834961,
0.029807615280151366,
0.029896703720092774,
0.029883392333984377,
0.029868032455444334,
0.030216192245483397,
0.03000115203857422,
0.030040063858032227,
0.029864959716796875,
0.03014963150024414,
0.030023679733276368,
0.029954048156738283,
0.06057574462890625,
0.030092287063598632,
0.030130176544189452,
0.029865983963012696,
0.02995199966430664,
0.029914112091064454,
0.030035968780517577,
0.02997964859008789,
0.029929471969604493,
0.02998681640625,
0.030136320114135744,
0.0299683837890625,
0.030291967391967774,
0.030308351516723633,
0.030095359802246095,
0.03037798309326172,
0.03021107292175293,
0.030259199142456054,
0.030108671188354492,
0.030082048416137694,
0.029981695175170898,
0.029929471969604493,
0.03001753616333008,
0.030266368865966797,
0.030030847549438477,
0.030266368865966797,
0.030010368347167967,
0.030010368347167967,
0.030051328659057616,
0.030102527618408204,
0.03037900733947754,
0.06019379043579102,
0.0299233283996582,
0.029826047897338868,
0.030074880599975585,
0.02995814323425293,
0.030268415451049805,
0.030028799057006835,
0.029857791900634766,
0.02976563262939453,
0.03001651191711426,
0.030003200531005858,
0.029874176025390626,
0.029899776458740233,
0.029820928573608397,
0.02999091148376465,
0.02996121597290039,
0.03000831985473633,
0.030050304412841795,
0.03018137550354004,
0.030297088623046874,
0.030274560928344726,
0.029936639785766602,
0.030139392852783203,
0.030418943405151368,
0.030254079818725587,
0.030128128051757814,
0.030045183181762695,
0.03017215919494629,
0.03002572822570801,
0.030071807861328126,
0.03037286376953125,
0.06049075317382813,
0.030277631759643556,
0.03034419250488281,
0.0304005126953125,
0.030069759368896484,
0.029916160583496092,
0.030072832107543947,
0.030270463943481447,
0.03060326385498047,
0.03036262321472168,
0.029912063598632813,
0.03002060890197754,
0.029829120635986327,
0.029920255661010742,
0.030039039611816407,
0.029895679473876953,
0.02982707214355469,
0.02999398422241211,
0.029929471969604493,
0.02956287956237793,
0.029930496215820314,
0.02997145652770996,
0.02993561553955078,
0.02977177619934082,
0.02993971252441406,
0.029663232803344725,
0.029641727447509765,
0.02961408042907715,
0.02999398422241211,
0.02982809638977051,
0.02976870346069336,
0.05970022583007813,
0.02977689552307129,
0.02978713607788086,
0.02999295997619629,
0.02973593521118164,
0.02979327964782715,
0.030005247116088866,
0.029825023651123047,
0.02998067283630371,
0.030058496475219725,
0.02972876739501953,
0.029978624343872072,
0.03019161605834961,
0.029885440826416015,
0.03017932891845703,
0.030027776718139648,
0.030219263076782226,
0.030219263076782226,
0.030051328659057616,
0.030044160842895507,
0.030073856353759764,
0.030535680770874023,
0.030113792419433592,
0.030079999923706056,
0.030076927185058593,
0.030318592071533205,
0.03016703987121582,
0.03002572822570801,
0.030102527618408204,
0.030123008728027343,
0.030062591552734375,
0.059947006225585936,
0.03017728042602539,
0.029688831329345702,
0.02992742347717285,
0.030006271362304687,
0.02955571174621582,
0.029641727447509765,
0.029493247985839844,
0.029463552474975587,
0.02935398483276367,
0.029277183532714843,
0.029447168350219727,
0.029500415802001953,
0.02940928077697754,
0.029488128662109377,
0.029711360931396483,
0.029430784225463868,
0.029405183792114258,
0.029677568435668947,
0.02954035186767578,
0.04206284713745117,
0.04883148956298828,
0.031104000091552734,
0.0303503360748291,
0.029662208557128908,
0.029731840133666993,
0.029820928573608397,
0.03002470397949219,
0.029973503112792968,
0.030058496475219725,
0.030078975677490235
]
},
"throughput": {
"unit": "tokens/s",
"value": 31.966556312604112
},
"energy": null,
"efficiency": null
}
}
}