ModelGo Attribution-ResponsibleAI License 2.0 (MG-BY-RAI-2.0)

Text version: https://ids.nus.edu.sg/docs/modelgo/v2/MG-BY-RAI/LICENSE

ModelGo Attribution-ResponsibleAI License

Version 2.0, May 2025

By exercising the rights granted in Section 2.1, You acknowledge and agree that You have read, understood, and agree to be bound by the terms and conditions of this License. If You do not agree to any terms and/or conditions of this License, then the Licensor grants You no rights under this License.

1. DEFINITIONS

"Complementary Materials" means the source code and scripts used to define, run, load, benchmark and/or evaluate the Model, and prepare data for the purpose of training, pretraining, fine-tuning and/or evaluation of the Model, and any tutorials, operating manuals, user guides and/or documentation that guide users in using, operating, implementing and/or customising the Model.

"Derivative Materials" means all improvements, modifications or derivative works to the Licensed Material or any part thereof, which are created or developed by You (either by Yourself or jointly with other third parties), including any derivative model developed by transferring patterns of weights, parameters, activations and/or Output from the Model, such as through distillation methods or synthetic data generation techniques, in order to replicate, approximate, or otherwise achieve functional behavior that is similar to the Model.

"Distribution" (or "Distribute") means any transmission, publication, public performance, sharing, or other methods of making the Licensed Materials, Derivative Materials and/or Output available to a third party, including providing the Licensed Materials or any part thereof as a hosted service or remotely accessible service, such as API-based access or web access.

"Licensor" means the rights owner that is granting the License.

"Licensed Materials" means the Model and Complementary Materials that are Distributed by the Licensor under this License. The Licensed Materials do not include any datasets used for pretraining, training, adapting, or evaluating the Model, which may or may not be made available under a separate license.

"Model" means the machine-learning constructs and/or assemblies licensed by the Licensor under this License, including any checkpoints, learned weights, parameters (including optimizer states) and the model architecture.

"Output" means any information, data, and/or content, including but not limited to images, text, text effects, audio files, and/or video files, generated through operation of the Model, or through operation of any new model developed by transferring patterns from the Model.

"You" (or "Your") means you, or any other person or entity you are entering into this license on behalf of, provided you have the legal authority to bind such person or entity.

2. LICENSE RIGHTS

2.1 Grant of Rights

  1. Subject to the conditions in Section 2.2 of this License, the Licensor hereby grants to You a non-exclusive, non-sublicensable, revocable, royalty-free, worldwide license under the relevant copyrights, patent rights, database rights, and any other intellectual property rights to:
    1. make, have made, use, reproduce, sell, offer to sell, import and Distribute the Licensed Materials;
    2. use the Licensed Materials to create Derivative Materials; and
    3. make, have made, use, reproduce, sell, offer to sell, import and Distribute Derivative Materials.

2.2 Conditions

  1. If You Distribute any of the Licensed Materials or Derivative Materials, You shall:
    1. provide a copy of this License with the Licensed Material or Derivative Materials;
    2. in the case of Distributing Derivative Materials, provide as part of the Distribution, prominent notices stating that You have modified the Licensed Materials and the relevant date of such modification;
    3. retain as part of the Distribution any existing copyright notice, attribution notice, and/or any notice identifying the authors of the Licensed Materials and any Derivative Materials.
  2. You agree not to use the Licensed Materials or any Derivative Materials:
    1. for any illegal or unlawful purposes, including in any way that violates any applicable national, federal, state, local, or international law or regulation;
    2. for the purpose of exploiting, harming, or attempting to exploit or harm minors in any way;
    3. for the purpose of generating, transmitting and/or disseminating computer code, files, scripts and programs, including any malware and/or software, that is intended or known to be harmful, destructive, disabling or which assists in or enables theft, alteration, denial of service, unauthorised disclosure or destruction or corruption of data, including viruses, worms, spyware, adware, keyloggers, trojans, ransomware and any other type of threats;
    4. for any fraudulent purpose, such as generating, transmitting and/or disseminating verifiably false information and/or content;
    5. for the purpose of generating, transmitting and/or disseminating personal data with the purpose of harming others;
    6. for the purpose of generating, transmitting and/or disseminating information (including, but not limited to, images, code, posts, articles), and placing the information in any public context (including, but not limited to, bot generating tweets) without expressly and intelligibly disclaiming that the information and/or content is machine generated;
    7. for any libelous, defamatory, obscene or threatening purposes;
    8. for the purpose of impersonating or attempting to impersonate human beings for the purposes of deception;
    9. for the purpose of enabling and/or facilitating fully automated decision-making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation without expressly and intelligibly disclaiming that the creation or modification of the obligation is machine generated;
    10. for the purpose of enabling and/or facilitating discrimination and/or harm against individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
    11. for the purpose of exploiting any of the vulnerabilities of a specific group of persons based on their age, social, physical, or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
    12. for the purpose of enabling and/or facilitating discrimination against individuals or groups based on legally protected characteristics or categories;
    13. for the purpose of providing medical advice or medical results interpretation that is intended to be a substitute for professional medical advice, diagnosis, or treatment; and
    14. for the purpose of enabling and/or facilitating fully automated decision-making in the administration of justice, law enforcement, immigration, or asylum processes.

2.3 Reservation of Rights

You shall not refer to the Licensor or use the Licensor's trademarks, trade names, and service marks, for any publicity, advertising or marketing purposes, without the Licensor's prior written consent.

3. DISCLAIMER

To the maximum extent permissible under applicable law, the Licensed Materials are provided on an "as is" and "as available" basis without any representation or warranty of any kind (whether express, implied, statutory or otherwise), including of merchantability, satisfactory quality, fitness for a particular purpose, title, accuracy, correctness, absence of error, reliability, timeliness, non-infringement of or compliance with any laws, regulations and/or third-party rights, all of which are expressly disclaimed by the Licensor.

4. LIMITATION OF LIABILITY

To the maximum extent permissible under applicable law, the Licensor shall not be liable for any claims, damages, or any other liabilities, in any way arising out of or in connection with the Licensed Materials, Derivative Materials, and/or Output, whether on an action or claim in contract, tort (including negligence), breach of statutory duty or otherwise, even if the Licensor has been advised of the possibility of such damages.

5. TERMINATION

This License shall terminate immediately if You breach any material term and/or condition of this License, or if You initiate any legal action against the Licensor alleging that the Licensed Materials and/or Derivative Materials infringe any patent worldwide. Sections 3, 4 and 6 shall survive the termination of this License.

6. MODIFICATION OF THIS LICENSE

This License is Copyright © 2024 National University of Singapore. Permission is granted to copy, distribute, or communicate this License without modification. Nothing in this License permits You to modify this License as applied to the Licensed Materials. However, You may modify the text of this License and copy, distribute or communicate Your modified version and apply it to other original works of authorship, provided that You do not use the name "ModelGo" for your version of the license and furnish a readable notice describing Your modifications to this License.


Model Sheet

Grant of Rights Use, Reproduce, Distribute Licensed Materials
Create Derivative Materials
Distribute Derivative Materials
Sublicensable License
Revocable License
Commercial Use of Licensed Materials and/or Derivative Materials
Responsible AI Use Restrictions (RAI) on Licensed Materials and Derivative Materials
Requirements Relating to Distribution of Licensed Materials, Derivative Materials, Output Provide a Copy of Original License when Distributing Licensed Materials
Provide a Copy of Original License when Distributing Derivative Materials
Retain Original Attribution Notice when Distributing Licensed Materials
Retain Original Attribution Notice when Distributing Derivative Materials
Indicate Modifications when Distributing Derivative Materials
Disclosure of Distributed Licensed Materials and/or Derivative Materials in Source Code Form
Licensing Distributed Derivative Materials on Same Terms as License
Include a Notice of Provenance when Distributing Output as Dataset