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feat: update non-profit mentions
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README.md

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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1VxrpJ5xuWZKQLsSN12kdqUqkppHRct3G?usp=sharing)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15601289.svg)](https://doi.org/10.5281/zenodo.15601289)
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EcoLogits was created and is actively maintained by the **[GenAI Impact](https://genai-impact.org/) non-profit**.
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Read the full **documentation on [ecologits.ai](https://ecologits.ai/)**.
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EcoLogits is part of the **[CodeCarbon](https://codecarbon.io/) non-profit**.
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2020

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## ⚙️ Installation
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docs/index.md

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![EcoLogits](assets/logo_dark.png#only-dark){ width="500" }
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<figcaption>
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<p class="hero-logo__tagline">Estimate and track the environmental footprint of GenAI models at inference.</p>
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<p class="hero-logo__team">Made with 💚 by <a href="https://genai-impact.org/">GenAI Impact</a> non-profit.</p>
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</figcaption>
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</figure>
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[Become a sponsor :octicons-heart-fill-24:{ .heart }](https://tally.so/r/wvLePd){ .md-button }
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</div>
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## About GenAI Impact
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<div style="display: flex; align-items: center; gap: 40px; flex-wrap: wrap;">
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<div style="flex: 1; min-width: 400px;">
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<p><b><a href="https://genai-impact.org" target="_blank">GenAI Impact</a> is a non-profit</b> dedicated to creating digital commons for sustainable AI.</p>
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<p>We are building open-source methodologies and tools to better assess and limit the environmental footprint of generative AI. </p>
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</div>
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<div style="flex-shrink: 0; min-width: 200px;">
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<img style="width: 200px; display: block; margin: 0 auto;" src="https://github.com/genai-impact/.github/blob/main/profile/assets/logo.png?raw=true" alt="GenAI Impact" width="200">
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</div>
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</div>
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## Acknowledgements
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We extend our gratitude to [Data For Good :octicons-link-external-16:](https://dataforgood.fr/) and [Boavizta :octicons-link-external-16:](https://boavizta.org/en) for supporting the development of this project. Their contributions of tools, best practices, and expertise in environmental impact assessment have been invaluable.

docs/methodology/index.md

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<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/by.svg?ref=chooser-v1" alt="">
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<img style="height:22px!important;margin-left:3px;vertical-align:text-bottom;" src="https://mirrors.creativecommons.org/presskit/icons/sa.svg?ref=chooser-v1" alt="">
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Please ensure that you adhere to the license terms and properly cite the authors and the GenAI Impact non-profit organization when utilizing this work. Each methodology has an associated paper with specific citation requirements.
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Please ensure that you adhere to the license terms and properly cite EcoLogits and its authors when using this work. Each methodology has an associated paper with specific citation requirements.

docs/methodology/llm_inference.md

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## :material-bookshelf: Citation
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Please cite **GenAI Impact** non-profit organization and **link to this documentation page**.
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Please cite **EcoLogits** and **link to this documentation page**.
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```bibtex
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@article{ecologits,

mkdocs.yml

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social:
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- icon: fontawesome/brands/github
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link: https://github.com/genai-impact
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name: GenAI Impact GitHub organization
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name: GitHub organization
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- icon: fontawesome/brands/linkedin
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link: https://www.linkedin.com/company/genai-impact/
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name: GenAI Impact LinkedIn
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name: EcoLogits LinkedIn
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extra_css:
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- css/extra.css

pyproject.toml

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version = "0.9.1"
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description = "EcoLogits tracks and estimates the energy consumption and environmental impacts of using generative AI models through APIs."
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authors = [
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{name = "GenAI Impact"}
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{name = "Samuel Rincé", email = "[email protected]"},
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{name = "Adrien Banse"},
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]
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license = "MPL-2.0"
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readme = "README.md"

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