MA
Meta AI
Language model · United States ·Jun 2022

OPT-2.7B

Language Open Weights
2.7B
Parameters

About OPT-2.7B

OPT-2.7B is an AI model developed by Meta AI, in the language category, released in 2022, made available as an open-weights model with 2.7B params.

On this page you'll find OPT-2.7B's full specifications. Review provider pricing and benchmark scores below, or compare OPT-2.7B head-to-head with other language models.

Links

Run OPT-2.7B locally — what to buy

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Sized to what OPT-2.7B 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 OPT-2.7B?

OPT-2.7B is an AI model developed by Meta AI, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created OPT-2.7B?

OPT-2.7B was developed by Meta AI and released in 2022.

Is OPT-2.7B open source or proprietary?

OPT-2.7B 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 OPT-2.7B cost?

Pricing for OPT-2.7B depends on the provider. See the providers table on this page for the latest API rates.

How does OPT-2.7B perform on benchmarks?

Benchmark scores for OPT-2.7B 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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