answers111/OpenCarbonEval

Repo for OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models

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Experimental

This framework helps AI development teams and sustainability officers accurately measure the carbon emissions generated by training large-scale AI models. It takes details about your model architecture, workload, and hardware used during training, and outputs a precise estimate of carbon emissions (in tCO2eq). This is designed for organizations and researchers building or deploying large AI models who need to report on their environmental impact.

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Use this if you need to calculate and report the environmental footprint of your large-scale AI model training, especially when dynamic hardware usage makes simple estimates inaccurate.

Not ideal if you are working with smaller AI models or primarily concerned with the operational emissions of deployed models rather than training.

AI sustainability Carbon footprinting Machine learning operations Environmental reporting Model development
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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May 21, 2024

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