OLMo
by Allen Institute for AI
At a glance
Fully open large language model family from Ai2, released with its training data, code, and weights.
open-source llm research
- Licence
- Apache-2.0
- Category
- Open Models
- Business model
- Open (open weights/source)
- Availability
- Global
- Launched
- 2024-02
Overview
OLMo is a fully open large language model family from the Allen Institute for AI (Ai2), released with its complete training data, code, evaluation suites, and weights. Designed for transparent, reproducible research, later generations like OLMo 2 and OLMo 3 are competitive with similarly sized open-weight models. Everything is free under Apache 2.0.
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Key features
- Fully open: weights, data, code, and checkpoints
- Dolma training corpus openly released
- Reproducible training and evaluation pipelines
- Apache 2.0 licensing for commercial use
Use cases
- Academic research on LLM training dynamics
- Auditing model behavior against known training data
- Building on a transparent, commercially usable base
Pricing
OLMo models, data, and code are entirely free under Apache 2.0; users bear only their own compute costs.
Record details
Provenance, dates and links are kept here so the main sections stay about the product itself.
Links, dates and provenance
- Record updated
- 2026-10-10
- Model family
- OLMo
- Founded
- 2014
- Headquarters
- US
- Canonical URL
- https://globalaiproductindex.com/products/olmo/
Selection profile
Every field says where its value comes from. "Unknown" means we have not confirmed it — it does not mean the product lacks the feature.
Selection profile11 fields5 unknown
- Tasks it fits
- Running models yourself
Derived from the record: category "open-models".
Suggest a correction - How you use it
- Self-run service
Open-source project without a tag describing its delivery form; run it yourself.
Suggest a correction - Runs on
- Not recorded
No platform support is stated in the record.
Suggest a correction - Where it runs
- Not recorded
Open-source record without a hosting signal; deployment target not recorded.
Suggest a correction - Works offline
- Not recorded
The record contains no offline-operation claim.
Suggest a correction - Official service region
- Global
Mirrors the availability field already on the record ("global").
Suggest a correction - Public API
- Not recorded
The record does not state whether a public API exists.
Suggest a correction - Licence
- Apache-2.0
Mirrors the licence already recorded on the product record; not re-verified against the licence text by this migration.
Suggest a correction - Commercial use
- Permitted
Recorded licence allows commercial use (copyleft obligations may still apply).
Suggest a correction - Interface languages
- Not recorded
No vendor page read in this pass states the product's own interface languages; the key exists so the field can be answered later rather than left absent.
Suggest a correction - Billing
- Open source Free Free allowance: Yes Subscription required: No
Prices are the vendor’s advertised entry price and exclude taxes; always confirm on the vendor’s own page.
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Where each value comes from
- Tasks it fits
- Our inference
- How you use it
- Our inference
- Runs on
- Our inference
- Where it runs
- Our inference
- Works offline
- Our inference
- Official service region
- Our inference
- Public API
- Our inference
- Licence
- Our inference
- Commercial use
- Our inference
- Interface languages
- Unknown
Frequently asked questions
What makes OLMo different from other open models?
OLMo releases the full stack—training data, code, logs, and weights—not just the final model, enabling true reproducibility.
Who develops OLMo?
The Allen Institute for AI (Ai2), a non-profit research institute in Seattle.
Can OLMo be used commercially?
Yes, everything is released under the permissive Apache 2.0 license.
What does OLMo not record?
OLMo has no documentation or pricing page of its own recorded; the vendor site offered no same-site page that could be confirmed, so paid costs are not established.
Similar products
- Gemma — Google's family of lightweight open-weight models derived from the same research as Gemini, currently in the Gemma 4 generation.
- Phi — Family of small open-weight language models from Microsoft, designed for strong reasoning at compact sizes.
- Aleph Alpha — German AI company that builds sovereign large language models and enterprise AI platforms for industry, public-sector, and defense customers.
- Amazon Bedrock — Managed AWS service for building applications with foundation models from multiple providers via one API.
- Amazon Nova — AWS portfolio of Amazon-built foundation models and services for text, multimodal, speech, custom model building, and UI-automating agents.
- Baichuan — Open-weight bilingual LLM family from Beijing-based Baichuan Intelligence, now focused on medical AI with its Baichuan-M reasoning models.
Related guides
Sources
This record was last reviewed on 2026-10-10.
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