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.
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. 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.