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License

Mono Quant is licensed under the MIT License.

MIT License

Copyright (c) 2026 thatAverageGuy

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.

What This Means

You are free to: - ✅ Use Mono Quant in any project (commercial or personal) - ✅ Modify the source code - ✅ Distribute the software - ✅ Sublicense the software - ✅ Use in proprietary software

Under the conditions: - ⚠️ Include the copyright notice - ⚠️ Include the license text - ⚠️ The software is provided "as is" without warranty

Third-Party Licenses

Mono Quant depends on the following packages:

Required Dependencies

  • PyTorch - BSD 3-Clause License
  • NumPy - BSD 3-Clause License
  • Python Standard Library - Python Software Foundation License

Optional Dependencies

  • Safetensors - Apache 2.0 License
  • Click - BSD 3-Clause License
  • TQDM - MPL 2.0 License
  • MkDocs/Material - MIT License

Attribution

If you use Mono Quant in your research or project, attribution is appreciated but not required:

@software{mono_quant,
  title = {Mono Quant: Ultra-Lightweight Model Quantization for PyTorch},
  author = {thatAverageGuy},
  year = {2026},
  url = {https://github.com/thatAverageGuy/mono-quant}
}