NOTICE

LLM Compressor

This product includes software developed in association with the vLLM Project (https://github.com/vllm-project).

Source code in this repository is variously licensed under the Apache License
Version 2.0, an Apache-compatible license.

* For a copy of the Apache License Version 2.0, please see [Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0).

* For a copy of all other Apache-compatible licenses and notices,
  they will be listed below.

========================================================================
NOTICES
========================================================================

Package dependencies are defined in the Python setup.py file in this repository's top-level directory and have their own Apache-compatible licenses and terms.

Hugging Face Transformers License https://github.com/huggingface/transformers/blob/master/LICENSE

Some model implementations subclass and include code snippets from Hugging Face Transformers.
These snippets include and are subject to the Hugging Face Copyright and are
provided under the Apache License, Version 2.0 https://github.com/huggingface/transformers/blob/master/LICENSE

PyTorch License https://github.com/pytorch/pytorch/blob/master/LICENSE

Sample images are provided under a Creative Commons Attribution License
https://creativecommons.org/licenses/by/4.0/legalcode
```
@article{cocodataset,
  author    = {Tsung{-}Yi Lin and Michael Maire and Serge J. Belongie and Lubomir D. Bourdev and Ross B. Girshick and James Hays and Pietro Perona and Deva Ramanan and Piotr Doll{'{a} }r and C. Lawrence Zitnick},
  title     = {Microsoft {COCO:} Common Objects in Context},
  journal   = {CoRR},
  volume    = {abs/1405.0312},
  year      = {2014},
  url       = {http://arxiv.org/abs/1405.0312},
  archivePrefix = {arXiv},
  eprint    = {1405.0312},
  timestamp = {Mon, 13 Aug 2018 16:48:13 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/LinMBHPRDZ14},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

Sample audio is provided under a Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/legalcode
```
@article{DBLP:journals/corr/abs-2111-09344,
  author    = {Daniel Galvez and
               Greg Diamos and
               Juan Ciro and
               Juan Felipe Cer{\'{o}}n and
               Keith Achorn and
               Anjali Gopi and
               David Kanter and
               Maximilian Lam and
               Mark Mazumder and
               Vijay Janapa Reddi},
  title     = {The People's Speech: {A} Large-Scale Diverse English Speech Recognition
               Dataset for Commercial Usage},
  journal   = {CoRR},
  volume    = {abs/2111.09344},
  year      = {2021},
  url       = {https://arxiv.org/abs/2111.09344},
  eprinttype = {arXiv},
  eprint    = {2111.09344},
  timestamp = {Mon, 22 Nov 2021 16:44:07 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2111-09344.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

Other external dependencies, if referenced in this repository's various subdirectories, are subject to their associated licenses and terms.