UO
University of Minnesota
Language model · United States ·May 2023

CoEdiT-xxl

Language Open Weights
11B
Parameters

About CoEdiT-xxl

CoEdiT-xxl is an AI model developed by University of Minnesota, in the language category, released in 2023, made available as an open-weights model with 11B params.

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

Links

Run CoEdiT-xxl locally — what to buy

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Sized to what CoEdiT-xxl 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 CoEdiT-xxl?

CoEdiT-xxl is an AI model developed by University of Minnesota, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created CoEdiT-xxl?

CoEdiT-xxl was developed by University of Minnesota and released in 2023.

Is CoEdiT-xxl open source or proprietary?

CoEdiT-xxl 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 CoEdiT-xxl cost?

Pricing for CoEdiT-xxl depends on the provider. See the providers table on this page for the latest API rates.

How does CoEdiT-xxl perform on benchmarks?

Benchmark scores for CoEdiT-xxl 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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