Model Card

Environmental Impact

This model was trained with the following estimated environmental footprint, calculated using standard Green AI carbon accounting methodology (GPU TDP × count × runtime × datacenter PUE, multiplied by regional grid carbon intensity).

Metric	Value
Hardware	5x NVIDIA T4
GPU-hours	413.4
Power Usage Effectiveness (PUE)	1.13
Region	ap-southeast1
Total Energy Consumed	163.500 kWh
Carbon Emitted	78.480 kg CO2eq
Training Type	pre-training

Emissions were calculated as follows:

energy_kWh = (70 W * 5 GPUs * 413.4 h * 1.13 PUE) / 1000 = 163.500 kWh co2_kg = (163.500 kWh * 480 gCO2eq/kWh) / 1000 = 78.480 kg CO2eq

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support