ZU
Zhejiang University (ZJU)
Language model · United States ·Jan 2022

OntoProtein

Language Open (Restricted)
420M
Parameters

About OntoProtein

OntoProtein is an AI model developed by Zhejiang University (ZJU), in the language category, released in 2022, made available as an open-weights model with 0.4B params.

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

Links

Run OntoProtein locally — what to buy

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Sized to what OntoProtein 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 OntoProtein?

OntoProtein is an AI model developed by Zhejiang University (ZJU), in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created OntoProtein?

OntoProtein was developed by Zhejiang University (ZJU) and released in 2022.

Is OntoProtein open source or proprietary?

OntoProtein 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 OntoProtein cost?

Pricing for OntoProtein depends on the provider. See the providers table on this page for the latest API rates.

How does OntoProtein perform on benchmarks?

Benchmark scores for OntoProtein 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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