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Upload emissions-2b4-instruct.csv with huggingface_hub
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emissions-2b4-instruct.csv
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timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue,n_nodes
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2024-11-06T19:20:52,Tucano-sft,5f0d1e08-8524-40ab-adeb-92401acb0afa,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,31672.27382905176,9.94885293271022,0.0003141186826815232,112.5,1402.2599449871632,1462.5000000000002,0.9897571840361336,12.270581318401753,12.855563670314986,26.115902172752907,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-284.30.1.el9_2.x86_64-x86_64-with-glibc2.34,3.11.3,2.7.1,512,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.1178,50.7246,3900,machine,N,1.0,4
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2024-11-09T17:17:45,Tucano-dpo,6121fbd2-bea2-4942-8000-ac07bf388c86,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,12777.643057700712,2.476683906212117,0.0001938294797427051,112.5,351.3174231090531,365.62500000000006,0.39930072949185036,4.805598554475765,1.2964366031884842,6.501335887156102,Germany,DEU,north rhine-westphalia,,,Linux-5.14.0-284.30.1.el9_2.x86_64-x86_64-with-glibc2.34,3.11.3,2.7.2,128,AMD EPYC 7713 64-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.1178,50.7246,975,machine,N,1.0,1
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