main-database/EuroLLM.yaml at preview · Language-Technology-Assessment/main-database · GitHub

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---
# Thank you for contributing!
# In filling out this yaml file, please follow the criteria as described here:
# https://osai-index.eu/contribute

# You're free to build on this work and reuse the data. It is licensed under CC-BY 4.0, with the
# stipulation that attribution should come in the form of a link to https://osai-index.eu/
# and a citation to the peer-reviewed paper in which the dataset & criteria were published:

# Liesenfeld, A. and Dingemanse, M., 2024. Rethinking open source generative AI: open-washing and the EU AI Act. In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (pp. 1774-1787).

# Organization tags:
# - National origin: International
# - Contributor type: Academic (Research community)

# Training compute:
# - Base model training compute: ~5.28e+23 FLOP +- 0.5 OoM (param count & dataset size)
# - End model training compute: unknown (likely negligible)

system:
    name: EuroLLM
    link: https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512
    type: text
    performanceclass: full
    basemodelname: EuroLLM-22B-2512
    endmodelname: EuroLLM-22B-Instruct-2512
    endmodellicense: Apache-2.0
    releasedate: 2025-12
    notes: Highly multilingual LLM funded by the European Union.

org:
    name: UTTER
    link: https://he-utter.eu/
    notes: Collaborative Research and Innovation Project funded under Horizon Europe.

# availability:
datasources_basemodel:
    class: open
    link: https://arxiv.org/pdf/2602.05879
    notes: Pretraining datasets described with versions in the technical report.

datasources_endmodel:
    class: open
    link: https://huggingface.co/datasets/utter-project/EuroBlocks-SFT-2512
    notes: Supervised fine-tuning dataset published on HuggingFace.

weights_basemodel:
    class: open
    link: https://huggingface.co/utter-project/EuroLLM-22B-2512
    notes: Base model published on HuggingFace with an open license.

weights_endmodel:
    class: open
    link: https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512
    notes: End model published on HuggingFace with an open license.

trainingcode:
    class: open
    link: https://github.com/axolotl-ai-cloud/axolotl
    notes: Training makes use of a public framework.

# documentation:
code:
    class: open
    link: https://github.com/axolotl-ai-cloud/axolotl
    notes: Framework is well-documented.

hardware_architecture:
    class: open
    link: https://arxiv.org/pdf/2602.05879
    notes: Preprint shows architecture, providing details about design decisions and hyperparameters.

preprint:
    class: open
    link: https://arxiv.org/abs/2602.05879
    notes: Preprint published on arXiv.

paper:
    class: closed
    link:
    notes: No peer-reviewed version of preprint found.

modelcard:
    class: open
    link: https://huggingface.co/utter-project/EuroLLM-22B-Instruct-2512
    notes: Model card contains the requisite information.

datasheet:
    class: closed
    link:
    notes: No datasheet found.

# access:
licenses:
    class: partial
    link: ["https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu", "https://huggingface.co/datasets/togethercomputer/RedPajama-Data-V2", "https://huggingface.co/datasets/nvidia/Nemotron-CC-v2", "https://huggingface.co/datasets/HPLT/HPLT3.0", "https://huggingface.co/datasets/allenai/MADLAD-400", "https://huggingface.co/datasets/uonlp/CulturaX", "https://huggingface.co/datasets/allenai/c4"]
    notes: "Weights: Apache-2.0. Code: Apache-2.0. Data: ODC-BY, NVIDIA Open Data License Agreement, CC0, OSCAR license."