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carbon-emissions-model-card
dev-verma/carbon-emissions-model-card
carbon-emissions-model-card is a machine learning model from dev-verma. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Carbon emissions for this training run were estimated using the methodology described in Lacoste et al. (2019), Quantifying the Carbon Emissions of Machine Learning, based on the formulas below.
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Updated Aug 28, 2026
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At a glance
- Access
- Public
- Created
- Aug 28, 2026
- Updated
- Aug 28, 2026
- SHA
- 3cf9f1b9
Model card
From the Hugging Face model README
Model Card
Environmental Impact
Carbon emissions for this training run were estimated using the methodology described in Lacoste et al. (2019), Quantifying the Carbon Emissions of Machine Learning, based on the formulas below.
- Hardware Type: NVIDIA L40S (TDP: 350 W)
- Number of GPUs: 7
- GPU Hours: 377.8
- Power Usage Effectiveness (PUE): 1.53
- Total Energy Consumed: 1416.183 kWh
- Geographical Location: europe-north1
- Grid Carbon Intensity: 120 gCO2eq/kWh
- Carbon Emitted: 169.942 kg CO2eq
Calculation
energy_kWh = (TDP_watts * num_gpus * gpu_hours * PUE) / 1000
= (350 * 7 * 377.8 * 1.53) / 1000
= 1416.183 kWh
co2_kg = (energy_kWh * region_carbon_intensity_gCO2_per_kWh) / 1000
= (1416.183 * 120) / 1000
= 169.942 kg CO2eq
Training Type
fine-tuning
- Created
- Aug 28, 2026
- Updated
- Aug 28, 2026