JH
Johns Hopkins University
Language model · United States ·Oct 2022

Verbatim Memory Transformer (117M)

Language Proprietary
117M
Parameters

About Verbatim Memory Transformer (117M)

Verbatim Memory Transformer (117M) is an AI model developed by Johns Hopkins University, in the language category, released in 2022, made available as a proprietary (API-only) model with 0.1B params.

On this page you'll find Verbatim Memory Transformer (117M)'s full specifications. Review provider pricing and benchmark scores below, or compare Verbatim Memory Transformer (117M) head-to-head with other language models.

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Frequently asked questions

What is Verbatim Memory Transformer (117M)? ▶

Verbatim Memory Transformer (117M) is an AI model developed by Johns Hopkins University, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Verbatim Memory Transformer (117M)? ▶

Verbatim Memory Transformer (117M) was developed by Johns Hopkins University and released in 2022.

Is Verbatim Memory Transformer (117M) open source or proprietary? ▶

Verbatim Memory Transformer (117M) is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Verbatim Memory Transformer (117M) cost? ▶

Pricing for Verbatim Memory Transformer (117M) depends on the provider. See the providers table on this page for the latest API rates.

How does Verbatim Memory Transformer (117M) perform on benchmarks? ▶

Benchmark scores for Verbatim Memory Transformer (117M) 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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