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carbon-audit-22f3000233
majidpaleri/carbon-audit-22f3000233
carbon-audit-22f3000233 is a machine learning model from majidpaleri. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository documents the carbon footprint of a fine-tuning run, computed from the assigned GPU training run log (carbonrunlog22f3000233.json).
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Updated Aug 23, 2026
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At a glance
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 5b1e7d23
Model card
From the Hugging Face model README
Carbon Accounting Model Card
This repository documents the carbon footprint of a fine-tuning run, computed
from the assigned GPU training run log (carbon_run_log_22f3000233.json).
Run details
- GPU: NVIDIA RTX 4090 (TDP 450 W)
- Number of GPUs: 5
- GPU hours: 200.1
- Power Usage Effectiveness (PUE): 1.4
- Region: europe-west4 (grid carbon intensity 200 gCO2eq/kWh)
- Training type: fine-tuning
Calculations
Total energy (kWh):
energy_kWh = (TDP_watts * num_gpus * gpu_hours * PUE) / 1000
= (450 * 5 * 200.1 * 1.4) / 1000
= 630.315 kWh
Carbon emissions (kg CO2eq):
co2_kg = (energy_kWh * region_carbon_intensity_gCO2_per_kWh) / 1000
= (630.315 * 200) / 1000
= 126.063 kg CO2eq
Results
- Total energy: 630.315 kWh
- Total emissions: 126.063 kg CO2eq
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026