NOTICE

Copyright 2023 and 2024 by llmware

NOTICE - Overview

LLMWare Models.  This software contains links to the LLMWare public model repository currently hosted on Huggingface (www.huggingface.co/llmware).  LLMWare models in this repository are generally licensed under a separate Apache License 2.0 license, e.g., https://www.apache.org/licenses/LICENSE-2.0.  Where there are any exceptions to Apache 2.0, it is noted on the Model Card, e.g., Llama 2 Community License or CC-BY-SA-4.0, and is following licensing conditions of the underlying base models.   All of the LLMWare models that are listed in the ModelCatalog in this repository are permissively licensed and may be used for commercial purposes in conjunction with llmware, subject to the license terms found with the model cards.

3rd Party Models.  The llmware software package also provides the ability to use other 3rd party models in conjunction with the llmware software.  Use of any third party models is subject to the licensing terms of those models.

Sample Testing Files.  This software includes sample files that are made available for testing, including documents and audio files.   These files have either been derived from open public domain sources, or produced as original materials by the llmware team to be used as test samples and  examples.  These files are made available solely for purposes of testing and illustrating the use of key llmware functions, and should not be used, distributed or published in any other manner.   The audio files, in particular, may be subject to copyright protections that preclude any other form of publishing beyond limited 'fair use' as testing files.

Compiled Enabling Components.  This software consists primarily of Python source code, but also includes back-end enabling components consisting of prebuilt compiled C/C++ shared libraries and supporting 3rd party dependencies:

    * libpdf_llmware - this is a PDF parser written in C developed and copyrighted separately by llmware, which implements the ISO-32000 specification.  The compiled parser is provided as a shared library as part of the llmware software package, under an Apache 2.0 license, but the source code has not been provided in the llmware project currently.  The interfaces to the shared library are in the Python source code in the Parser module, which enable the user to access, configure and control the behavior of the PDF parser as part of building applications and other solutions with llmware.
    
    * liboffice_llmware - this is an Office XML parser written in C developed and copyrighted by llmware, which implements the ISO-29500 Office Open XML specification for documents that conform with Word, Powerpoint and Excel formats.   The compiled parser is provided as a shared library as part of the llmware software package, under an Apache 2.0 license, but the source code has not been provided in the llmware project currently.  The interfaces to the shared library are in the Python source code in the Parser module, which enable the user to access, configure and control the behavior of the Office parser as part of building applications and other solutions with llmware.
    
    * libgraph_llmware - this module provides a set of NLP-based utility functions, written in C developed and copyrighted by llmware, and exposed in the Python code in the graph module.   The compiled code is provided as a shared library as part of the llmware software package, under an Apache 2.0 license, but the source code has not been released in the llmware project currently.
    
    * llama.cpp / GGUF - this a prebuilt shared library implementation of Llama.CPP and associated GGML middleware components, licensed under a MIT license with the source code and all other information in the repository:  www.github.com/ggerganov/llama.cpp.git.  The llmware implementation generally follows the core Python interface for Llama.CPP as provided in the repository:  www.github.com/abetlen/llama-cpp-python.git, although there will be differences from time-to-time, and llmware may have additional features not found in other Python interfaces and vice versa.   The llmware shared library implementation is regularly updated and re-compiled, and tested for integration into llmware, but may depart from the current source code of llama.cpp.
    
    * whisper.cpp / GGML - this is a prebuilt shared library implementation of Whisper.CPP and associated GGML middleware components, licensed under a MIT license with the source code and all other information in the repository:  www.github.com/ggerganov/whisper.cpp.git.   The llmware Python interface for Whisper.CPP was developed originally, but took inspiration from www.github.com/carloscdias/whisper-cpp-python.git, which is provided under a MIT license.  The llmware shared library implementation is regularly updated and recompiled, and tested for integration into llmware, but may depart from the current source code of whisper.cpp.

    Why shared libraries rather than source code?  The objective of including these prebuilt shared libraries in this project is to enable a complete LLM-based pipeline development framework that works "out of the box" on multiple platforms, and also enables a developer to rapidly and intuitively scale to large, complex solutions.   We view these shared libraries as enabling components with the core of the llmware project consisting of the higher-level classes and functions exposed in the Python source code.  In the future, we may revisit the decision to publish the source code for the llmware parsers (e.g., libpdf_llmware, liboffice_llmware, libgraph_llmware), and/or provide under a separate project repository focused on lower-level components and in C/C++.   Generally, these parsers are complex, standalone, low-level code that implements the arcane rules of various ISO standards, and for the foreseeable future, we do not have the bandwidth to manage a full open source documentation, testing, and lifecycle around that source code base - without it overwhelming the main objective of llmware.

Vector Databases.  This software provides integration to a wide variety of vector database resources, using the open source Python drivers and associated SDKs provided by the vector database vendor with the licensing details outlined below.  Users need to install any vector databases separately and independently, subject to the licensing terms from those vendors.  llmware does not provide any licenses to vector databases, and llmware does not require the use of a vector database for a wide range of use cases.  In several Fast Start examples, we demonstrate how to use "no-install" vector databases, such as FAISS (MIT license), ChromaDB (Apache 2.0 license - www.github.com/chroma-core/chroma.git) and LanceDB (Apache 2.0 license - www.github.com/lancedb/lancedb.git), but no license is provided to those separate resources.

General Purpose Databases.  This software provides integration to three core database resources - Postgres, MongoDB and SQLite.  llmware connects to these resources using open source Python and C drivers.  Users need to install these databases separately and indendently, subject to the licensing terms from those vendors.  llmware does not provide any licenses to databases, and llmware does not require the use of a database for a wide range of use cases.

Huggingface Integration.  This software provides features and functions that enable access to models, tokenizers and datasets hosted in Huggingface repositories and accessible via the Huggingface transformers, tokenizers, datasets and huggingface-hub libraries.  In providing interfaces to these resources, llmware uses transformers, in particular, which is provided by Huggingface under an Apache 2.0 license (see www.github.com/huggingface/transformers.git).  In addition, related to these interfaces, llmware provides code that was influenced, derived, and in a few limited cases, copied, from transformers source code to facilitate the integration.   Some of this transformers code, especially the underlying model class code, is subject to additional copyright notices from HuggingFace, Google AI, EleutherAI, NVIDIA and potentially others for specific models.  For use of any individual third party model, accessed through a Huggingface repository, we recommend reviewing the individual model card to confirm the licensing terms and other associated copyrights.

=================================================================================================

Open Source Dependencies and Optional Components

Please note that the list below includes 'first-level' dependencies but does not include potential 'second-level' dependencies included within the components outlined below.

3rd Party Open Source libraries, drivers and tools in Python (pip install) and C/C++ dependencies used in conjunction for the llmware software package:
   
3-clause BSD License (https://opensource.org/license/bsd-3-clause/)
   * Software: libzip (https://libzip.org/)  [C library]
   * Software: numpy (https://github.com/numpy/numpy) [Python pip install]
   * Software: torch (https://github.com/pytorch/pytorch) [Python pip install]
   * Software: colorama (https://github.com/tartley/colorama) [Python pip install]
   * Software - Optional - lxml (https://github.com/lxml/lxml) [Optional / Python pip install]

Apache License 2.0 (https://www.apache.org/licenses/LICENSE-2.0)
   * Software: boto3 (https://github.com/boto/boto3) [Python pip install]
   * Software: mongo-c-driver (https://github.com/mongodb/mongo-c-driver) [C library]
   * Software: pymongo (http://github.com/mongodb/mongo-python-driver)  [Python pip install]
   * Software: tokenizers (https://github.com/huggingface/tokenizers) [Python pip install]
   * Software: transformers (https://github.com/huggingface/transformers) [Python pip install]
   * Software: huggingface-hub (https://github.com/huggingface/huggingface-hub) [Python pip install]
   * Software: requests (https://github.com/psf/requests) [Python pip install]
   * Software - Optional - pymilvus (https://github.com/milvus-io/pymilvus)  [Optional / Python pip install]
   * Software - Optional - pytesseract (https://github.com/madmaze/pytesseract)  [Optional / Python pip install]
   * Software - Optional - datasets (https://github.com/huggingface/datasets) [Optional / Python pip install]
   * Software - Optional - sentence-transformers (https://github.com/UKPLabs/sentence-transformers) [Optional / Python pip install]
   * Software - Optional - yfinance (https://github.com/ranaroussi/yfinance) [Optional / Python pip install]
   * Software - Optional - chromadb (https://github.com/chroma-core/chroma) [Optional / Python pip install]
   * Optional - Optional - neo4j-python-driver (https://github.com/neo4j/neo4j-python-driver) [Optional / Python pip install]
   * Optional - Optional - Tiny-Llama base model (https://github.com/jzhang38/TinyLlama) [Separate Download and install]
   * Optional - Optional - tesseract (https://github.com/tesseract-ocr/tesseract) [Optional / not included / C library]
   
ICS License (https://opensource.org/license/isc-license-txt)
   * Software: librosa - source code and license at: https://github.com/librosa/librosa [Python pip install]


Database Drivers used in llmware
   * Mongo C driver - libmongoc / libbson - Apache 2.0 (https://www.github.com/mongodb/mongo-c-driver) [C library]
   * PostgreSQL C driver - libpq - PostgresSQL Global Development Group (https://www.github.com/postgres/postgres/blob/master/copyright) [C library]
   * PostgreSQL psycopg - unmodified and linked dynamically from pypi release - GNU Lesser General Public License (https://www.github.com/psyocopg/psycopg/LICENSE.txt) [Python pip install]
   * SQLite C driver - libsqlite3 - (https://www.github.com/LuaDist/libsqlite3) [C library]
   * psycopg2 & psycopg2-binary - GNU Lesser General Public License - no modifications - it is provided through pip install as standard python library


PNG Reference Library License
   * libpng: source code and license (https://github.com/pnggroup/libpng) [C library]
   
libtiff License (https://spdx.org/licenses/libtiff.html)
   * Software: libtiff (http://www.libtiff.org/) [C library]

MIT License (https://opensource.org/license/mit/)
   * Software: libxml2 (https://github.com/GNOME/libxml2) [C library]
   * Software: llama.cpp (https://github.com/ggerganov/llama.cpp) [C/C++ library]
   * Software: whisper.cpp (https://github.com/ggerganov/whisper.cpp) [C/C++ library]
   * Software: openai (https://github.com/openai/openai-python) [Python pip install]
   * Software: Wikipedia-API (https://github.com/martin-majlis/Wikipedia-API) [Python pip install]
   * Software: einops (https://github.com/arogozhinov/einops) [Python pip install]
   * Software - Optional - beautifulsoup4 (https://pypi.org/project/beautifulsoup4/) [Optional / Python pip install]
   * Software - Optional - Whisper models - openai (https://github.com/openai/whisper) [Separate download and install]
   * Software - Optional - anthropic (https://github.com/anthropics/anthropic-sdk-python) [Optional / Python pip install]
   * Software - Optional - faise-cpu (https://github.com/kyamagu/faiss-wheels) [Optional / Python pip install]
   * Software - Optional - cohere (https://github.com/cohere-ai/cohere-python) [Optional / Python pip install]
   * Software - Optional - tabulate (https://github.com/astanin/python-tabulate) [Optional / Python pip install]
   * Software - Optional - pdf2image (https://github.com/Belval/pdf2image)  [Optional / Python pip install]
   * Software - Optional - word2number (https://github.com/akshaynagpal/w2n) [Optional / Python pip install]
   
zlib License (https://github.com/madler/zlib/blob/develop/LICENSE)
   * Software: zlib (https://www.zlib.net/) [C library]

Databases - separate and optional components that may be used in conjunction with llmware and require user to license and install independently:

   * Postgres: source code for Postgres database provided at: https://github.com/postgres.  Copyright is by PostgreSQL Global Development Group and Regents of the University of California - (https://github.com/postgres/postgres/blob/master/copyright) - with license terms outlined below in the Copyright Notices section.  [Separate download and install]
   
   * MongoDB: source code for Community edition provided at: https://github.com/mongodb/mongo - "MongoDB is free and the source is available" subject to the Server Side Public License (SSPL) v1 - (https://github.com/mongodb/mongo/blob/master/LICENSE-Community.txt).  [Separate download and install]
   
   * SQLite: source code provided at: https://github.com/sqlite/sqlite - not subject to copyright - "May you share freely, never taking more than you give."   [Separate download and install]

Vector Databases - separate and optional open source components that may be used in conjunction with llmware and require user to license and install independently:

   * Milvus:    Apache 2.0 license - source code and license at: https://github.com/milvus-io/milvus
   * Qdrant:    Apache 2.0 license - source code and license at: https://github.com/qdrant/qdrant
   * ChromaDB:  Apache 2.0 license - source code and license at: https://github.com/chroma-core/chroma
   * PGVector:  Postgres Development Group license - source code and license at: https://github.com/pgvector/pgvector
   * Neo4J:     GPL-3.0 license - source and license at: https://github.com/neo4j/neo4j
   * FAISS:     MIT license - source code and license at: https://github.com/facebookresearch/faiss
   * LanceDB:   Apache 2.0 license - source code and license at:  www.github.com/lancedb/lancedb.git

=================================================================================================

Required Copyright Notices Per Open Source Licenses for Components Distributed Directly with a Full Clone of the Repository - does not include components installed through a separate pip install process, or additional components used in conjunction with LLMWare, but installed independently from this repository.

Name: llama.cpp
License: MIT

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.


Name: whisper.cpp
License: MIT

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.


Name: libxml2
License: MIT

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.


Name: einops
License: MIT

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.


Name: wikipedia-api
License: MIT

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.


Name: openai (python sdk)
License: MIT

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.



Name: mongo-c-driver (libmongoc and libbson)
License: Apache 2.0 Copyright Notice

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.


Name: pymongo
License: Apache 2.0 Copyright Notice

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.


Name: boto3
License: Apache 2.0 Copyright Notice

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.


Name: requests
License: Apache 2.0 Copyright Notice

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.


Name: transformers (Huggingface)
License: Apache 2.0 Copyright Notice

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.


Name: tokenizers (Huggingface)
License: Apache 2.0 Copyright Notice

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.


Name: huggingface_hub (HuggingFace)
License: Apache 2.0 Copyright Notice

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.


Name: librosa
License: ISC License
Copyright (c) 2013--2023, librosa development team.
Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.


Name: psycopg  [no modifications - it is provided through pip install as standard python library]
License: Lesser GPL

psycopg2 is free software: you can redistribute it and/or modify it
under the terms of the GNU Lesser General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

psycopg2 is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public
License for more details.

In addition, as a special exception, the copyright holders give
permission to link this program with the OpenSSL library (or with
modified versions of OpenSSL that use the same license as OpenSSL),
and distribute linked combinations including the two.

You must obey the GNU Lesser General Public License in all respects for
all of the code used other than OpenSSL. If you modify file(s) with this
exception, you may extend this exception to your version of the file(s),
but you are not obligated to do so. If you do not wish to do so, delete
this exception statement from your version. If you delete this exception
statement from all source files in the program, then also delete it here.

You should have received a copy of the GNU Lesser General Public License
along with psycopg2 (see the doc/ directory.)
If not, see <https://www.gnu.org/licenses/>.



Name: numpy
License: BSD-3-Clause

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Name: torch
License: BSD-3-Clause

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Name: colorama
License: BSD-3-Clause

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

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Name: libzip
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Name: pgvector
License: Postgres License

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Name: libpq
License: GNU LESSER GENERAL PUBLIC LICENSE & Postgres License

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Copyright © 2007 Free Software Foundation, Inc. <https://fsf.org/>

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Name: libpng
License: PNG Reference Library Copyright Noticee and License version 2

 * Copyright (c) 1995-2024 The PNG Reference Library Authors.
 * Copyright (c) 2018-2024 Cosmin Truta.
 * Copyright (c) 2000-2002, 2004, 2006-2018 Glenn Randers-Pehrson.
 * Copyright (c) 1996-1997 Andreas Dilger.
 * Copyright (c) 1995-1996 Guy Eric Schalnat, Group 42, Inc.

The software is supplied "as is", without warranty of any kind,
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Permission is hereby granted to use, copy, modify, and distribute
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 1. The origin of this software must not be misrepresented; you
    must not claim that you wrote the original software.  If you
    use this software in a product, an acknowledgment in the product
    documentation would be appreciated, but is not required.

 2. Altered source versions must be plainly marked as such, and must
    not be misrepresented as being the original software.

 3. This Copyright notice may not be removed or altered from any
    source or altered source distribution.
    
Name: libtiff
License: Custom (https://github.com/libsdl-org/libtiff)

Silicon Graphics has seen fit to allow us to give this work away. It is free. There is no support or guarantee of any sort as to its operations, correctness, or whatever. If you do anything useful with all or parts of it you need to honor the copyright notices. I would also be interested in knowing about it and, hopefully, be acknowledged.

The legal way of saying that is:

Copyright (c) 1988-1997 Sam Leffler Copyright (c) 1991-1997 Silicon Graphics, Inc.

Permission to use, copy, modify, distribute, and sell this software and its documentation for any purpose is hereby granted without fee, provided that (i) the above copyright notices and this permission notice appear in all copies of the software and related documentation, and (ii) the names of Sam Leffler and Silicon Graphics may not be used in any advertising or publicity relating to the software without the specific, prior written permission of Sam Leffler and Silicon Graphics.

THE SOFTWARE IS PROVIDED "AS-IS" AND WITHOUT WARRANTY OF ANY KIND, EXPRESS, IMPLIED OR OTHERWISE, INCLUDING WITHOUT LIMITATION, ANY WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.

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Name: zlib
License: Custom (https://github.com/madler/zlib?tab=License-1-ov-file)

Copyright notice:

 (C) 1995-2024 Jean-loup Gailly and Mark Adler

  This software is provided 'as-is', without any express or implied
  warranty.  In no event will the authors be held liable for any damages
  arising from the use of this software.

  Permission is granted to anyone to use this software for any purpose,
  including commercial applications, and to alter it and redistribute it
  freely, subject to the following restrictions:

  1. The origin of this software must not be misrepresented; you must not
     claim that you wrote the original software. If you use this software
     in a product, an acknowledgment in the product documentation would be
     appreciated but is not required.
  2. Altered source versions must be plainly marked as such, and must not be
     misrepresented as being the original software.
  3. This notice may not be removed or altered from any source distribution.

  Jean-loup Gailly        Mark Adler
  jloup@gzip.org          madler@alumni.caltech.edu
  
  
=================================================================================================

Citations for Open Source Software, Models and Research used in the development of llmware:

Transformers - https://github.com/huggingface/transformers

@inproceedings{wolf-etal-2020-transformers,
    title = "Transformers: State-of-the-Art Natural Language Processing",
    author = "Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick von Platen and Clara Ma and Yacine Jernite and Julien Plu and Canwen Xu and Teven Le Scao and Sylvain Gugger and Mariama Drame and Quentin Lhoest and Alexander M. Rush",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.emnlp-demos.6",
    pages = "38--45"
}

Sentence Transformers - https://github.com/UKPLab/sentence-transformers

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}

Pytorch - https://github.com/pytorch/blob/main/CITATION.cff  (with full and updated contributor list)

    title: PyTorch
    authors:  PyTorch Team
    url: https://pytorch.org
    type: conference-paper
    title: "PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation"
    collection-title: "29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS '24)"
    collection-type: proceedings
    month: 4
    year: 2024
  publisher:
    name: ACM
  url: "https://pytorch.org/assets/pytorch2-2.pdf"
  
  Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., & Chintala, S. (2019). PyTorch: An Imperative Style, High-Performance Deep Learning Library [Conference paper]. Advances in Neural Information Processing Systems 32, 8024–8035. http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf


Whisper - OpenAI - https://github.com/openai/whisper & www.huggingface.co/openai/whisper

@misc{radford2022whisper,
  doi = {10.48550/ARXIV.2212.04356},
  url = {https://arxiv.org/abs/2212.04356},
  author = {Radford, Alec and Kim, Jong Wook and Xu, Tao and Brockman, Greg and McLeavey, Christine and Sutskever, Ilya},
  title = {Robust Speech Recognition via Large-Scale Weak Supervision},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

BERT
Turc, Iulia; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina. Well-Read Students Learn Better: On the Importance of Pre-training Compact Models, arXiv preprint arXiv:1908.08962v2 (2019).

Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, arXiv preprint arXiv:1810.04805 (2018).

GPT2
Radford, Alec; Wu, Jeff; Child, Rewon; Luan, David; Amodei, Dario; Sutskever, Ilya.  Language Models are Unsupervised Multitask Learners. (2019)

Tiny Llama
@misc{zhang2024tinyllama,
      title={TinyLlama: An Open-Source Small Language Model},
      author={Peiyuan Zhang and Guangtao Zeng and Tianduo Wang and Wei Lu},
      year={2024},
      eprint={2401.02385},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

StableLM-3b-4e1t Model (StabilityAI)
@misc{StableLM-3B-4E1T,
      url={[https://huggingface.co/stabilityai/stablelm-3b-4e1t](https://huggingface.co/stabilityai/stablelm-3b-4e1t)},
      title={StableLM 3B 4E1T},
      author={Tow, Jonathan and Bellagente, Marco and Mahan, Dakota and Riquelme, Carlos}
}

Sheared Llama
@article{xia2023sheared, title={Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning}, author={Xia, Mengzhou and Gao, Tianyu, and Zeng Zhiyuan, and Chen Danqi}, year={2023} }


FAISS
@article{douze2024faiss,
      title={The Faiss library},
      author={Matthijs Douze and Alexandr Guzhva and Chengqi Deng and Jeff Johnson and Gergely Szilvasy and Pierre-Emmanuel Mazaré and Maria Lomeli and Lucas Hosseini and Hervé Jégou},
      year={2024},
      eprint={2401.08281},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}