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OLMo models: Versions, specs, GPU requirements & hosting

AI2 OLMo emphasizes transparent open language-model releases with official checkpoints and reproducible deployment metadata.

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Technical deployment reference illustration for OLMo
Reference deployment flow; exact architecture facts are listed separately.

Overview and history

OLMo is an official Allen AI model family represented here through independently verified release, checkpoint, license, runtime and hardware evidence. AI2 OLMo emphasizes transparent open language-model releases with official checkpoints and reproducible deployment metadata. Current public releases are grouped by the General tracks so sibling sizes and specialist branches are not presented as false chronological generations.

FusionPointAI currently tracks 2 certified public OLMo releases. The catalogue preserves release dates and evaluates Current, Recent, Previous and Legacy status within each model track rather than by database insertion order.

Transparent open development
Official checkpoint lineage
Research reproducibility

Architecture and model range

The verified public range spans 32B to 32.2B total parameters and context windows up to 131,072 tokens. Each release states whether it is dense or mixture-of-experts and records active parameters separately when the official source publishes them.

Public releases2
Model tracks1
Current generationOLMo 3.1 32B Instruct
Last verified2026-08-26T00:00:00.000000Z

Generations, tracks and variants

General

OLMo 2

Recent generation
OLMo 2 32B

32.0B parameters · 131,072 context

Dense Dense Transformer

OLMo 3.1

Current generation
OLMo 3.1 32B Instruct

32.2B parameters · 65,536 context

Dense Olmo3ForCausalLM

Deployment ecosystem

Choose a specific OLMo release and certified checkpoint before sizing hardware. FusionPointAI rejects unknown runtime configurations, calculates resident memory from total model weights, then distinguishes globally compatible GPUs from currently rentable inventory.

Validate the exact checkpoint license, runtime version, precision kernel, context length, concurrency and multi-GPU topology. Active MoE parameters affect compute, but resident model memory continues to use total stored weights.

Common use cases

Language-model research
Private inference
Controlled fine-tuning

License overview

Licenses are certified per release, not inferred from the provider. Review the release page before commercial deployment because terms can differ between generations and variants.

Commercial-use status is a source-backed catalogue classification, not legal advice. Follow the linked official license and attribution requirements.

Release timeline

allenai/olmo/olmo-2-32b

Source details

Official source

Source revision: 2ffcf0f2dd7e3031db114c8c22b11fa11a22fdba8cf1717f6b77d9682700c572

allenai/olmo/olmo-3-1-32b-instruct

Source details

Official source

Source revision: 9e999954a0666e13fba0f4b721679ef514c444755fd494c5588c5dd220fb11eb

Frequently asked questions

Which OLMo release is current?

Current releases are OLMo 3.1 32B Instruct, evaluated within their respective tracks.

Can OLMo be self-hosted?

Only releases with a verified official checkpoint and supported runtime configuration are presented as deployable.

Which GPU should run OLMo?

GPU selection depends on the exact variant, checkpoint precision, context length and concurrency; use the release hardware recommendations rather than the family name alone.

Official references

Last verified: 2026-08-26