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# Commercial Models – Green AI Analysis
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This folder contains the **comparative sustainability analysis** of several
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large language models (LLMs) used in commercial applications.
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It is part of the **ELO2 Green AI project**, focusing on estimating
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the **energy, carbon, and water footprints** of each model.
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---
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## 📄 Contents
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- **models.md** – Main document providing technical summaries and
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sustainability estimates for:
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- GPT-4 (OpenAI)
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- Claude 3 Haiku (Anthropic)
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- Gemini Nano (Google)
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## 🎯 Purpose
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This documentation:
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- Highlights how **different LLM architectures and deployments**
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affect energy and water use.
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- Demonstrates how **model size and hosting** influence environmental impact.
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- Supports ongoing evaluation of **Green AI strategies** for efficient computing.
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