Third Party Licenses

Last updated: December 2025

Tethr uses open source software components. We are grateful to the developers and communities who have made their work available. Below is a list of third-party software used in our application along with their respective licenses.

Open Source Libraries

MIT License

llama.cpp

Port of Facebook's LLaMA model in C/C++ for efficient inference on consumer hardware.

https://github.com/ggerganov/llama.cpp

MIT License Copyright (c) 2023 Georgi Gerganov Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

MIT License

LLM.swift

Swift wrapper for llama.cpp enabling on-device LLM inference on Apple platforms.

https://github.com/eastriverlee/LLM.swift

MIT License Copyright (c) 2024 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Apache 2.0 License

Gemma

Google's Gemma family of lightweight, open models built from the same research and technology used to create the Gemini models.

https://ai.google.dev/gemma

Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

MIT License

KeychainAccess

Simple Swift wrapper for Keychain that works on iOS, watchOS, tvOS and macOS.

https://github.com/kishikawakatsumi/KeychainAccess

MIT License

Yams

A sweet and swifty YAML parser built on top of LibYAML.

https://github.com/jpsim/Yams

Apache 2.0 License

Swift Collections

Data structure implementations for Swift.

https://github.com/apple/swift-collections

Apache 2.0 License

Swift Algorithms

Sequence and collection algorithms for Swift.

https://github.com/apple/swift-algorithms

Public Domain

SQLite

A C-language library that implements a small, fast, self-contained SQL database engine.

https://www.sqlite.org/

Apple Frameworks

Tethr uses the following Apple frameworks, provided under Apple developer terms:

Swift - The programming language
SwiftUI - Declarative UI framework
UIKit - User interface framework
CoreML - Machine learning framework

Fonts

OFL License

Urbanist

A low-contrast, geometric sans-serif typeface inspired by Modernist design.

https://fonts.google.com/specimen/Urbanist

Copyright 2021 The Urbanist Project Authors (https://github.com/coreyhu/Urbanist) This Font Software is licensed under the SIL Open Font License, Version 1.1. This license is available with a FAQ at: https://scripts.sil.org/OFL

AI Models

Tethr uses quantized versions of open-weight AI models for on-device inference. These models are used in accordance with their respective licenses and terms:

Gemma Terms of Use

Gemma Models

A lightweight, state-of-the-art open model family from Google, optimized for on-device deployment.

https://ai.google.dev/gemma/terms

LLaMA License

LLaMA Models

Large Language Model Meta AI, optimized for efficient on-device inference.

https://ai.meta.com/llama/license/

Apache 2.0 License

Qwen Models

Open-weight language models from Alibaba Cloud.

https://github.com/QwenLM/Qwen

MIT License

Phi Models

Small language models from Microsoft Research.

https://huggingface.co/microsoft/phi-2

Apache 2.0 License

Mistral Models

Open-weight language models from Mistral AI.

https://mistral.ai/

Assets

Tethr uses the following assets:

MidJourney - Image generation for companion artwork
Self-produced artwork - Original illustrations and graphics
Music - "The Backrooms Music Vol. 9" produced by Sascha Ende (https://ende.app/en/song/13294-the-backrooms-music-vol-9)
Self-produced audio - Original audio assets

Additional Acknowledgments

We also want to thank:

The Swift and iOS developer community for their invaluable resources and support
Apple for providing excellent development tools and frameworks
The open-source AI community for advancing accessible AI technology
Our beta testers and early users for their feedback and patience

Questions?

If you have questions about our use of third-party software or believe we have missed an attribution, please contact us at legal@tethr.chat.