esm2 t48 15B UR50D EU AI Act Compliance Profile

[!NOTE] This model has been optimized using NVIDIA's TransformerEngine library. Slight numerical differences may be observed between the original model and the optimized version. For instructions on how to install TransformerEngine, please refer to the official documentation.

ESM-2 (TransformerEngine-Optimized) Overview

Description:

ESM-2 is a state-of-the-art protein model trained on a masked language modelling objective. It predicts protein structures from amino acid sequences, leveraging a transformer-based architecture for accurate 3D modeling. It is suitable for fine-tuning on a wide range of tasks that take protein sequences as input.

This version of the ESM-2 model is optimized with NVIDIA's TransformerEngine library. It is based on the original ESM-2 model from Facebook Research, and (within numerical precision) has identical weights and outputs.

This model is ready for commercial/non-commercial use.

Third-Party Community Consideration

This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA Model Card ESM-2 Model Card.

License/Terms of Use:

ESM-2 is licensed under the MIT license.

Deployment Geography:

Global

Use Case:

Protein structure prediction, specifically predicting 3D protein structures from amino acid sequences.

Release Date:

Hugging Face 07/29/2025 via https://huggingface.co/nvidia/esm2_t48_15B_UR50D

Reference(s):

• [Evolutionary-scale prediction of atomic level protein structure with a language model](https://www.biorxiv.org/content/10.1101

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