MQ
Mila - Quebec AI (originally Montreal Institute for Learning Algorithms)
Language model · United States ·Feb 2024

Structure-Informed Protein Language Model

Language Proprietary
650M
Parameters

About Structure-Informed Protein Language Model

Structure-Informed Protein Language Model is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), in the language category, released in 2024, made available as a proprietary (API-only) model with 0.7B params.

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

→ More models by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms) → All language models → AI benchmarks leaderboard

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Frequently asked questions

What is Structure-Informed Protein Language Model? ▶

Structure-Informed Protein Language Model is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Structure-Informed Protein Language Model? ▶

Structure-Informed Protein Language Model was developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms) and released in 2024.

Is Structure-Informed Protein Language Model open source or proprietary? ▶

Structure-Informed Protein Language Model is a proprietary model. It is accessed through an API rather than by downloading the weights.

How much does Structure-Informed Protein Language Model cost? ▶

Pricing for Structure-Informed Protein Language Model depends on the provider. See the providers table on this page for the latest API rates.

How does Structure-Informed Protein Language Model perform on benchmarks? ▶

Benchmark scores for Structure-Informed Protein Language Model 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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