[License-review] [2nd Resubmission] ModelGo Attribution License, Version 2.0

[Moming Duan]

Hi Josh,


My legal assistant agrees with this clarification of the definition of Licensed Materials. I’ve made the quick fix accordingly, as shown in the attached file below. Thanks.


Best,
Moming

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ModelGo Attribution 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

(a)	Subject to the conditions in Section 2.2 of this License, the Licensor hereby grants to 
You a non-exclusive, sublicensable, irrevocable, royalty-free, worldwide license under 
the relevant copyrights, patent rights, database rights, and any other intellectual property 
rights to:

(i)	make, have made, use, reproduce, sell, offer to sell, import and Distribute the 
Licensed Materials;

(ii)	use the Licensed Materials to create Derivative Materials; and

(iii)	make, have made, use, reproduce, sell, offer to sell, import and Distribute 
Derivative Materials.

2.2	Conditions

(a)	If You Distribute any of the Licensed Materials or Derivative Materials, You shall:

(i)	provide a copy of this License with the Licensed Material or Derivative Materials;

(ii)	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;

(iii)	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.

2.3	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.
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> On 3 Jul 2025, at 4:43 AM, Josh Berkus <josh at berkus.org> wrote:
> 
> Moming,
> 
> Just a clairity in wording suggestion:
> 
> "For the avoidance of doubt, the Licensed Materials do not include any datasets used for pretraining, training, adapting, or evaluating the Model."
> 
> Suggestion:
> 
> "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."
> 
> Reason:
> 
> First, the phrase "for the avoidance of doubt" is awkward and not really necessary.  Second, this rephrase makes it clear that this license takes no stance on the licensing of datasets, it's just stating that they are not included under this license.
> 
> -- 
> Josh Berkus
> 
> _______________________________________________
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