SU
Stanford University
Language model · United States ·May 2020

rTop-k(distributed setting)

Language Proprietary
69M
Parameters

About rTop-k(distributed setting)

rTop-k(distributed setting) is an AI model developed by Stanford University, in the language category, released in 2020, made available as a proprietary (API-only) model with 0.1B params.

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

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Frequently asked questions

What is rTop-k(distributed setting)? ▶

rTop-k(distributed setting) is an AI model developed by Stanford University, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created rTop-k(distributed setting)? ▶

rTop-k(distributed setting) was developed by Stanford University and released in 2020.

Is rTop-k(distributed setting) open source or proprietary? ▶

rTop-k(distributed setting) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does rTop-k(distributed setting) cost? ▶

Pricing for rTop-k(distributed setting) depends on the provider. See the providers table on this page for the latest API rates.

How does rTop-k(distributed setting) perform on benchmarks? ▶

Benchmark scores for rTop-k(distributed setting) 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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