AI
Allen Institute for AI
Language model · United States ·Feb 2024

OLMo-1B

Language Open (Restricted)
1B
Parameters

About OLMo-1B

OLMo-1B is an AI model developed by Allen Institute for AI, in the language category, released in 2024, made available as an open-weights model with 1B params.

On this page you'll find OLMo-1B's full specifications. Review provider pricing and benchmark scores below, or compare OLMo-1B head-to-head with other language models.

Links

Run OLMo-1B locally — what to buy

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Sized to what OLMo-1B actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is OLMo-1B?

OLMo-1B is an AI model developed by Allen Institute for AI, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created OLMo-1B?

OLMo-1B was developed by Allen Institute for AI and released in 2024.

Is OLMo-1B open source or proprietary?

OLMo-1B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does OLMo-1B cost?

Pricing for OLMo-1B depends on the provider. See the providers table on this page for the latest API rates.

How does OLMo-1B perform on benchmarks?

Benchmark scores for OLMo-1B are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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