WU
Waseda University
Language model · Japan ·Apr 2022

BERT-RBP

Language Open Weights
110M
Parameters

About BERT-RBP

BERT-RBP is an AI model developed by Waseda University, in the language category, released in 2022, made available as an open-weights model with 0.1B params.

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

Links

Run BERT-RBP locally — what to buy

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Sized to what BERT-RBP 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 BERT-RBP?

BERT-RBP is an AI model developed by Waseda University, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created BERT-RBP?

BERT-RBP was developed by Waseda University and released in 2022.

Is BERT-RBP open source or proprietary?

BERT-RBP 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 BERT-RBP cost?

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

How does BERT-RBP perform on benchmarks?

Benchmark scores for BERT-RBP 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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