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Openfold2

Openfold2

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Description
OpenFold2 is a protein structure prediction model from the OpenFold Consortium and the Alquraishi Laboratory. 
Publisher
NVIDIA
Latest Tag
1.0
Modified
May 3, 2025
Compressed Size
11.61 GB
Multinode Support
No
Multi-Arch Support
No
1.0 (Latest) Security Scan Results

Linux / amd64

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NIM Overview

Description:

OpenFold2 is a protein structure prediction model from the OpenFold Consortium and the Alquraishi Laboratory. OpenFold2 is a pytorch re-implementation of Google Deepmind's AlphaFold2, with support for both training and inference. OpenFold2 demonstrates accuracy parity with AlphaFold2, and improved speed. For more information, please visit the OpenFold repository see the OpenFold repository https://github.com/aqlaboratory/openfold.

This model is available for 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.

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for AI Products; and the use of this model is governed by the NVIDIA Community Model License. ADDITIONAL INFORMATION: Apache 2.0 License.

You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.

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Ethical Considerations:

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. Please report security vulnerabilities or NVIDIA AI Concerns here.