Model release

Olmo 3 7B (base)

Olmo 3 7B (base) is an open-stack model release in the OLMo family from Ai2 (Allen Institute for AI)1, version Olmo-3-1025-7B, released Nov 20, 2025. Its weights, inference and training code, and training recipe are public1; the weights are under the Apache License 2.01.

The pretrained base model at the 7B scale in Ai2's Olmo 3 release, trained in three stages (pretraining, mid-training, and long-context extension) on Dolma 3 data. The model card lists 5.93 trillion training tokens, 32 layers, and a 65,536-token context length.1 10

On AI on Hugging Face: allenai/Olmo-3-1025-7B, allenai/dolma3_mix-6T-1025-7B

Last reviewedSep 29, 2026Entry updated Sep 30, 2026Documented release Nov 20, 2025

Availability and license

Overall availability

Public

Downloadable from Hugging Face without gating. The card says the model is intended for research and educational use in line with Ai2's Responsible Use Guidelines.1

Availability fact review: not separately recorded

Availability is separate from permission: read the license before using or redistributing.

Apache License 2.0 (external site: huggingface.co)1
Applies to: Weights · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0
Apache License 2.0 (OLMo-core) (external site: raw.githubusercontent.com)3
Applies to: Code · SPDX Apache-2.0 · on the rubric’s OSI-approved software-license list · fact-level rights review not recorded
Plain-language guide to the Apache License 2.0

The model card states that the code and model are released under Apache 2.0 and that the model is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines, which list categories of prohibited use.1 9

Component reuse rights

A readable or downloadable component is not automatically reusable. These indicators concern recorded license evidence, not system certification.

weights: Unknown — no complete fact-level rights review
code: Unknown — no complete fact-level rights review
data: Unknown — no complete fact-level rights review
documentation: Unknown — no complete fact-level rights review

No complete system-rights review is recorded for this release.

Model-disclosure tier

Computed from the checklist below using USASI rubric v0.2. An editorial category, not a certification.

Open-stack

Open-weight, plus published inference code, training code, and training recipe, and at least documented training-data composition.

How tiers are computed

Public materials checklist

Items for a model under USASI rubric v0.2. Unknown means unassessed or insufficient evidence.

Public materials checklist for Olmo 3 7B (base)
Item	Status	Notes and evidence
WeightsCan the general public download the model parameters for this release?	Public	Final weights and staged intermediate checkpoints are published on Hugging Face.1
Inference codeIs code for running the model published?	Public	The model card documents inference with Hugging Face Transformers and lists OLMo-core as the core repository for training, inference, and fine-tuning.1 2
Training codeIs the code used to train the model published?	Public	OLMo-core publishes the official Olmo 3 7B pretraining, mid-training, and long-context scripts.2 3
Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness.	Partial	The release model card describes three training stages and links the corresponding data mixtures and training resources. This review confirms disclosure, not completeness across every provenance, acquisition, labeling and processing requirement.1
Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable.	Unknown	Not assessed.
Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient.	Unknown	Not assessed.
Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above.	Partial	The Dolma 3 Mix used for pretraining is downloadable under ODC-BY, but its dataset card says some olmOCR science PDFs were redacted after Olmo 3 7B was trained (marked [REMOVED]) and that this affects reproducibility. Mid-training and long-context mixes are linked from the model card.4 1
Training recipeAre the training configuration and procedure documented in enough detail to follow?	Public	The technical report documents stages, schedules, and configurations, and the OLMo-core scripts encode the official runs.5 2
Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only.	Public	The model card publishes base-model evaluation results; OLMES documents commands for running the task suites from the Olmo 3 technical report.1 6

What it is useful for

Ai2 documents base models as starting points for custom fine-tuning and for research on pretrained models; the model card publishes intermediate checkpoints from each training stage and fine-tuning instructions using OLMo-core.1 7

Run and use notes

Documented facts only. No hardware or performance claims are made without a cited source and stated assumptions.

The model card documents inference with Hugging Face Transformers version 4.57.0 or later, and optional 8-bit loading through bitsandbytes.1
Intermediate checkpoints are available as Hugging Face repository revisions named stage1-stepXXX (pretraining), stage2-stepXXX (mid-training), and stage3-stepXXX (long context).1

Organization context

Ai2 (Allen Institute for AI)

Provenance and derivatives

Trained from scratch by Ai2. Per the model card, stage 1 used the Dolma 3 Mix (5.93T tokens), stage 2 used the Dolma 3 Dolmino Mix (100B tokens), and stage 3 used the Dolma 3 Longmino Mix (50B tokens).1 4

Derived from: Dolma 3 Mix (6T, 1025) — Stage 1 pretraining data.
Derived from: Dolma 3 Dolmino Mix (100B, 1025) — Stage 2 mid-training data.
Derived from: Dolma 3 Longmino Mix (50B, 1025) — Stage 3 long-context data.

Catalog records that name this entry in their provenance:

Olmo 3 7B Instruct

Other releases in the OLMo family

Olmo 3 7B InstructModel-disclosure tier (USASI rubric v0.2): Open-stack
Olmo 3.1 32B ThinkModel-disclosure tier (USASI rubric v0.2): Open-stack

OLMo family overview

What this catalog does not know

Unknown means the sources reviewed for this record do not document it. It is not evidence that something does not exist.

Training-data access: unknown.
Complete training pipeline: unknown.

Have a primary source? How to report a correction.

U.S. eligibility

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

Eligible · basis: U.S. nonprofit or lab

The model card states the model was developed by the Allen Institute for AI (Ai2), which describes itself as a Seattle-based non-profit AI research institute.1 8

Assessed Sep 29, 2026

Sources

1.
allenai/Olmo-3-1025-7B model card (external site: huggingface.co)
Ai2 · Model card · accessed Sep 30, 2026 · evidence reviewed Sep 30, 2026
2.
OLMo-core official Olmo 3 training scripts (src/scripts/official/OLMo3) (external site: github.com)
Ai2 · Repository · accessed Sep 29, 2026
3.
OLMo-core LICENSE (external site: raw.githubusercontent.com)
Ai2 · License · accessed Sep 29, 2026
4.
allenai/dolma3_mix-6T-1025-7B dataset card (external site: huggingface.co)
Ai2 · Dataset card · accessed Sep 29, 2026
5.
Olmo 3 (arXiv 2512.13961v2) (external site: arxiv.org)
Team Olmo (Ai2) · Paper · published Apr 14, 2026 · accessed Sep 29, 2026
6.
allenai/olmes (external site: github.com)
Ai2 · Repository · accessed Sep 29, 2026
7.
Olmo | Ai2 platform documentation (external site: docs.allenai.org)
Ai2 · Documentation · accessed Sep 29, 2026
8.
About us | Ai2 (external site: allenai.org)
Ai2 · Official page · accessed Sep 29, 2026
9.
Responsible use guidelines | Ai2 (external site: allenai.org)
Ai2 · Official page · accessed Sep 29, 2026
10.
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

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APA style

USASI. (2026, September 30). Olmo 3 7B (base). United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/olmo-3-1025-7b/

BibTeX

@misc{usasi_olmo_3_1025_7b,
  author = {{USASI}},
  title = {Olmo 3 7B (base)},
  year = {2026},
  month = sep,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/olmo-3-1025-7b/}},
  note = {United States of America Superintelligence. Last updated 2026-09-30}
}

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