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XeroGhost/green-ai-carbon-audit
green-ai-carbon-audit is a machine learning model from XeroGhost. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Carbon accounting for an assigned GPU training run, documented for downstream verification of the model's environmental metadata.
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Updated Aug 28, 2026
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From the Hugging Face model README
Carbon accounting for an assigned GPU training run, documented for downstream verification of the model's environmental metadata.
| Field | Value |
|---|---|
| GPU type | NVIDIA A100 |
| GPUs | 8 |
| GPU hours | 176.1 |
| Region | us-east1 |
| Power usage effectiveness (PUE) | 1.52 |
| Training type | pre-training |
Reference values: NVIDIA A100 TDP = 400 W, us-east1 grid intensity = 420 gCO2eq/kWh.
energy_kWh = (TDP_watts * num_gpus * gpu_hours * PUE) / 1000
= (400 * 8 * 176.1 * 1.52) / 1000
= 856.5504 kWh
co2_kg = (energy_kWh * grid_gCO2_per_kWh) / 1000
= (856.5504 * 420) / 1000
= 359.751168 kg CO2eq
= 359.751 kg CO2eq (rounded to 3 decimals)
Total energy: 856.5504 kWh — Total emissions: 359.751 kg CO2eq