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Model family

OLMo

OLMo is a model family from Ai2 (Allen Institute for AI)12, with 3 assessed releases in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the Apache License 2.0.

OLMo (styled Olmo in recent releases) is Ai2's series of open language models. Releases have included the first OLMo 1B and 7B models (February 2024), OLMoE (September 2024), OLMo 2 (November 2024 to May 2025), and Olmo 3 at 7B and 32B (November 2025), with Olmo 3.1 32B checkpoints added in December 2025. In March 2026 Ai2 also released Olmo Hybrid, a 7B model that mixes attention layers with linear RNN layers.156

Last reviewedEntry updated Documented release Feb 1, 2024

Releases assessed

Each release is assessed on its own. This family has no family-wide openness label.
Releases in the OLMo family
ReleaseWeightsTier (USASI rubric v0.2)LicenseReleased
Olmo 3 7B (base)Weights: PublicModel-disclosure tier (USASI rubric v0.2): Open-stackApache-2.0, Apache-2.0Nov 20, 2025
Olmo 3 7B InstructWeights: PublicModel-disclosure tier (USASI rubric v0.2): Open-stackApache-2.0, Apache-2.0, Apache-2.0Nov 20, 2025
Olmo 3.1 32B ThinkWeights: PublicModel-disclosure tier (USASI rubric v0.2): Open-stackApache-2.0, Apache-2.0, Apache-2.0Dec 12, 2025

What it is useful for

Ai2 presents the series as a way to study how language models are built, publishing training data, code, intermediate checkpoints, and evaluation tools alongside the weights. The current Olmo 3 line includes base, Instruct (chat and tool use), and Think (reasoning) variants.24

Organization context

Provenance and derivatives

Olmo 3 is pretrained on Dolma 3, the latest version of Ai2's Dolma corpus, and post-trained on the Dolci datasets. Earlier 2024 releases used earlier Dolma versions (for example, Dolma v1.7 for OLMo 7B April 2024).231

  • Derived from: Dolma — Ai2 pretraining corpus family (v1 to v1.7, Dolma 3).

In the news

Dated, sourced updates in this catalog's news that mention this entry.
  1. · Release

    Ai2 releases OLMo-core 3, its open training library, with mixture-of-experts support

    Ai2 released version 3 of OLMo-core, the PyTorch training library behind its Olmo models, on October 1, 2026. The release redesigns the library's mixture-of-experts training system, adding expert and pipeline parallelism, a distributed optimizer, grouped matrix multiplication for experts, and support for the MXFP8 number format; Ai2 says it is designed to scale mixture-of-experts training into the trillion-parameter range. The code is licensed under Apache 2.0, and the repository includes Ai2's official training scripts for Olmo 3.

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S. nonprofit or lab

The OLMo models are developed by Ai2 (Allen Institute for AI), which describes itself as a Seattle-based non-profit AI research institute. Eligibility of each release is assessed on the release record.17

Assessed Sep 29, 2026

Sources

  1. 1.
  2. 2.
    Olmo | Ai2 platform documentation (external site: docs.allenai.org)

    Ai2 · Documentation · accessed Sep 29, 2026

  3. 3.
  4. 4.
    Olmo from Ai2 (external site: allenai.org)

    Ai2 · Official page · accessed Sep 29, 2026

  5. 5.
    Olmo 3: Charting a path through the model flow to lead open-source AI (external site: allenai.org)

    Ai2 · Announcement · published Nov 20, 2025 · accessed Sep 29, 2026

  6. 6.
  7. 7.
    About us | Ai2 (external site: allenai.org)

    Ai2 · Official page · accessed Sep 29, 2026

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USASI. (2026, September 29). OLMo. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/olmo/

BibTeX

@misc{usasi_olmo,
  author = {{USASI}},
  title = {OLMo},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/olmo/}},
  note = {United States of America Superintelligence. Last updated 2026-09-29}
}

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