main-database/OLMo.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: United States
# - Contributor type: Academic (Research institution)

system:
    name: OLMo
    link: https://huggingface.co/allenai/Olmo-3.1-32B-Think
    type: text
    performanceclass: full
    basemodelname: Olmo-3-1125-32B
    endmodelname: Olmo-3.1-32B-Think
    endmodellicense: Apache-2.0
    releasedate: 2025-12
    notes: Open LLM trained from scratch by Allen AI.

org:
    name: Ai2
    link: https://allenai.org
    notes: Allen Institute for AI (non-profit research institute)

# availability:
datasources_basemodel:
    class: open
    link: ["https://huggingface.co/datasets/allenai/dolma3_mix-5.5T-1125", "https://huggingface.co/datasets/allenai/dolma3_longmino_mix-100B-1125", "https://huggingface.co/datasets/allenai/dolma3_dolmino_mix-100B-1125"]
    notes: Training data for base model released and use documented.

datasources_endmodel:
    class: open
    link: https://huggingface.co/datasets/allenai/Dolci-Think-RL-32B
    notes: Data for fine-tuning published in a well-organized manner.

weights_basemodel:
    class: open
    link: https://huggingface.co/allenai/Olmo-3-1125-32B
    notes: Model weights made available on HuggingFace.

weights_endmodel:
    class: open
    link: https://huggingface.co/allenai/Olmo-3.1-32B-Think
    notes: Model weights made available on HuggingFace.

trainingcode:
    class: open
    link: ["https://github.com/allenai/open-instruct", "https://github.com/allenai/OLMo-core"]
    notes: Multiple repos with training, architecture and fine-tuning code available.

# documentation:
code:
    class: open
    link: ["https://github.com/allenai/open-instruct", "https://github.com/allenai/OLMo-core"]
    notes: Repositories and code well-described, commented and documented.

hardware_architecture:
    class: open
    link: https://aclanthology.org/2024.acl-long.841/
    notes: Architecture documented in requisite detail.

preprint:
    class: open
    link: https://huggingface.co/papers/2512.13961
    notes: Pre-print goes into impressive detail about the data, training process, architecture, and evaluation.

paper:
    class: partial
    link: https://openreview.net/forum?id=2ezugTT9kU#discussion
    notes: Conference paper published in COLM 2025. More under review?

modelcard:
    class: open
    link: https://huggingface.co/allenai/Olmo-3.1-32B-Think
    notes: Model card provides broad overview and links to full details.

datasheet:
    class: open
    link: ["https://huggingface.co/datasets/allenai/dolma3_mix-5.5T-1125", "https://huggingface.co/datasets/allenai/dolma3_longmino_mix-100B-1125", "https://huggingface.co/datasets/allenai/dolma3_dolmino_mix-100B-1125","https://huggingface.co/datasets/allenai/Dolci-Think-RL-32B", "https://huggingface.co/datasets/allenai/Dolci-Instruct-RL-7B", "https://huggingface.co/datasets/allenai/Dolci-Think-DPO-32B", "https://huggingface.co/datasets/allenai/Dolci-Instruct-DPO-7B", "https://huggingface.co/datasets/allenai/Dolci-Think-SFT-32B", "https://huggingface.co/datasets/allenai/Dolci-Instruct-SFT-7B"]
    notes: Data sheets are well-documented and provide requisite info.

# access:
licenses:
    class: open
    link: https://huggingface.co/allenai/Olmo-3.1-32B-Think#model-description
    notes: Apache 2.0, an OSI-approved license.