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ProteinBERT
About ProteinBERT
ProteinBERT is an AI model developed by Hebrew University of Jerusalem, in the language category, released in 2022, made available as an open-weights model with 0B params.
On this page you'll find ProteinBERT's full specifications. Review provider pricing and benchmark scores below, or compare ProteinBERT head-to-head with other language models.
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Run ProteinBERT locally — what to buy
Share this build ↗Sized to what ProteinBERT 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 ProteinBERT? ▶
ProteinBERT is an AI model developed by Hebrew University of Jerusalem, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created ProteinBERT? ▶
ProteinBERT was developed by Hebrew University of Jerusalem and released in 2022.
Is ProteinBERT open source or proprietary? ▶
ProteinBERT 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 ProteinBERT cost? ▶
Pricing for ProteinBERT depends on the provider. See the providers table on this page for the latest API rates.
How does ProteinBERT perform on benchmarks? ▶
Benchmark scores for ProteinBERT 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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