CM
Carnegie Mellon University (CMU)
Language model · United States ·Oct 2018

TrellisNet

Language Proprietary
180M
Parameters

About TrellisNet

TrellisNet is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2018, made available as a proprietary (API-only) model with 0.2B params.

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

→ More models by Carnegie Mellon University (CMU) → All language models → AI benchmarks leaderboard

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Frequently asked questions

What is TrellisNet? ▶

TrellisNet is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2018. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created TrellisNet? ▶

TrellisNet was developed by Carnegie Mellon University (CMU) and released in 2018.

Is TrellisNet open source or proprietary? ▶

TrellisNet is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does TrellisNet cost? ▶

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

How does TrellisNet perform on benchmarks? ▶

Benchmark scores for TrellisNet 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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