Update to dual license: Apache 2.0 (Research) + Commercial License
- Changed from Apache 2.0 only to dual license model - Apache 2.0 for research, education, and non-commercial use - Commercial license required for profit-making use - Added citation requirement as condition of use for academic purposes - Created CITATION.cff file for automatic citation suggestions - Updated LICENSE, LICENSE.txt, README.md, and documentation - Citation formats provided (BibTeX and text) - Contact information for commercial licensing inquiries
This commit is contained in:
Carlos Gutierrez
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CITATION.cff
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CITATION.cff
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cff-version: 1.2.0
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message: "If you use this software, please cite it as below."
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title: "SheepOp LLM: Transformer-based Language Model Implementation"
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version: "1.0.0"
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date-released: "2024-11-06"
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authors:
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- given-names: "Carlos"
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family-names: "Gutierrez"
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email: "carlos.gutierrez@carg.dev"
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keywords:
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- "language model"
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- "transformer"
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- "deep learning"
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- "neural networks"
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- "LLM"
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license: "Apache-2.0"
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repository-code: "https://github.com/CarGDev/sheepOp"
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abstract: "A modern language model implementation from scratch, incorporating insights from recent research papers. Complete transformer implementation with training pipeline, optimized inference, and multi-format data processing."
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44
LICENSE
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LICENSE
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Apache License
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Version 2.0, January 2004
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http://www.apache.org/licenses/
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Dual License: Apache 2.0 (Research) + Commercial License (Commercial Use)
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Copyright (c) 2024 Carlos Gutierrez
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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This software is available under two licenses:
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1. APACHE 2.0 LICENSE (for research and non-commercial use)
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at:
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http://www.apache.org/licenses/LICENSE-2.0
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This license applies to:
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- Academic research
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- Educational purposes
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- Personal projects
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- Open source contributions
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- Non-commercial use
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2. COMMERCIAL LICENSE (for commercial/profit-making use)
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For commercial use, including but not limited to:
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- Commercial products or services
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- SaaS applications
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- Revenue-generating applications
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- Internal business use
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- Any use that generates profit
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Please contact: carlos.gutierrez@carg.dev
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Subject: Commercial License Inquiry - SheepOp
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Commercial licensing terms will be provided upon request.
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3. CITATION REQUIREMENT (for academic use)
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If you use this software in academic research or publications, you MUST cite:
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Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
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Implementation. https://github.com/[your-username]/sheepOp
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Citation is a condition of use for academic purposes under this license.
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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distributed under the Apache License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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See the Apache License for the specific language governing permissions and
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limitations under the License.
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102
LICENSE.txt
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LICENSE.txt
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DUAL LICENSE: APACHE 2.0 (RESEARCH) + COMMERCIAL LICENSE (COMMERCIAL USE)
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Copyright (c) 2024 Carlos Gutierrez
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================================================================================
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PART 1: APACHE 2.0 LICENSE (FOR RESEARCH AND NON-COMMERCIAL USE)
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================================================================================
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This software is licensed under the Apache License, Version 2.0 for research,
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academic, educational, and non-commercial purposes.
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Apache License
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Version 2.0, January 2004
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http://www.apache.org/licenses/
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@@ -138,8 +149,8 @@
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6. Trademarks. This License does not grant permission to use the trade
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names, trademarks, service marks, or product names of the Licensor,
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except as required for reasonable and customary use in describing the
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origin of the Work and reproducing the content of the NOTICE file.
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except as required for reasonable and customary use in describing
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the origin of the Work and reproducing the content of the NOTICE file.
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7. Disclaimer of Warranty. Unless required by applicable law or
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agreed to in writing, Licensor provides the Work (and each
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@@ -174,29 +185,76 @@
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incurred by, or claims asserted against, such Contributor by reason
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of your accepting any such warranty or additional liability.
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END OF TERMS AND CONDITIONS
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END OF APACHE LICENSE TERMS
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APPENDIX: How to apply the Apache License to your work.
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================================================================================
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PART 2: COMMERCIAL USE RESTRICTIONS
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================================================================================
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To apply the Apache License to your work, attach the following
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boilerplate notice, with the fields enclosed by brackets "[]"
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replaced with your own identifying information. (Don't include
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the brackets!) The text should be enclosed in the appropriate
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comment syntax for the file format. We also recommend that a
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file or class name and description of purpose be included on the
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same "printed page" as the copyright notice for easier
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identification within third-party archives.
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RESTRICTION: The Apache 2.0 license above applies ONLY to:
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- Academic research
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- Educational purposes
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- Personal projects
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- Open source contributions
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- Non-commercial use
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Copyright [yyyy] [name of copyright owner]
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COMMERCIAL USE REQUIRES A SEPARATE LICENSE:
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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For any commercial use, including but not limited to:
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- Commercial products or services
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- SaaS applications
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- Revenue-generating applications
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- Internal business use (for profit-making entities)
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- Any use that generates profit or revenue
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- Integration into commercial software products
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http://www.apache.org/licenses/LICENSE-2.0
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You MUST obtain a commercial license from the copyright holder.
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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implied. See the License for the specific language governing
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permissions and limitations under the License.
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To obtain a commercial license, please contact:
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Email: carlos.gutierrez@carg.dev
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Subject: Commercial License Inquiry - SheepOp
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Please include in your inquiry:
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- Intended use case
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- Expected usage volume
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- Company/Organization name
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- Contact information
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Commercial licensing terms, including pricing, will be provided upon request.
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================================================================================
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CITATION REQUIREMENT FOR ACADEMIC USE
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================================================================================
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IMPORTANT: If you use this software in academic research, publications, or
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any scholarly work, you MUST cite this work.
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This is a condition of use under the Apache 2.0 license for academic purposes.
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Required Citation Format:
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@software{sheepop2024,
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title = {SheepOp LLM: Transformer-based Language Model Implementation},
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author = {Gutierrez, Carlos},
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year = {2024},
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url = {https://github.com/[your-username]/sheepOp},
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version = {1.0}
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}
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Or in text format:
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Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
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Implementation. https://github.com/[your-username]/sheepOp
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Failure to cite this work in academic publications constitutes a violation of
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the terms of use for academic purposes.
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================================================================================
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SUMMARY
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================================================================================
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✅ Research/Education/Non-commercial: Apache 2.0 (free)
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⚠️ Commercial use: Requires commercial license (contact for terms)
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📝 Citation: Please cite in academic publications
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For questions about licensing, contact: carlos.gutierrez@carg.dev
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71
README.md
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README.md
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**Author:** Carlos Gutierrez
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**Email:** carlos.gutierrez@carg.dev
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**License:** Apache 2.0
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**License:** Dual License - Apache 2.0 (Research) + Commercial License (Commercial Use)
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A modern language model implementation from scratch, incorporating insights from recent research papers.
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@@ -344,18 +344,69 @@ All detailed documentation is available in the [`docs/`](docs/) folder:
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## License
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This project is licensed under the **Apache License 2.0**.
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This project is available under a **dual license**:
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### Apache 2.0 License (Research & Non-Commercial Use)
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**Free for:**
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- ✅ Academic research
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- ✅ Educational purposes
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- ✅ Personal projects
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- ✅ Open source contributions
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- ✅ Non-commercial use
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**Terms:**
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- Free to use, modify, and distribute
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- Patent grant included
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- Must include license and copyright notice
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- Must state changes if modifying
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### Commercial License (Commercial Use)
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**Requires a commercial license for:**
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- ⚠️ Commercial products or services
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- ⚠️ SaaS applications
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- ⚠️ Revenue-generating applications
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- ⚠️ Internal business use (for profit-making entities)
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- ⚠️ Any use that generates profit or revenue
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**To obtain a commercial license:**
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Contact: **carlos.gutierrez@carg.dev**
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Subject: Commercial License Inquiry - SheepOp
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Please include:
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- Intended use case
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- Expected usage volume
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- Company/Organization name
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- Contact information
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### Citation Requirement
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**IMPORTANT:** If you use this software in academic research or publications, you **MUST cite** this work. This is a condition of use for academic purposes.
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**Required Citation Format:**
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BibTeX:
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```bibtex
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@software{sheepop2024,
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title = {SheepOp LLM: Transformer-based Language Model Implementation},
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author = {Gutierrez, Carlos},
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year = {2024},
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url = {https://github.com/[your-username]/sheepOp},
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version = {1.0}
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}
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```
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Text format:
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```
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Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
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Implementation. https://github.com/[your-username]/sheepOp
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```
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**Note:** Citation is required for academic use. Failure to cite constitutes a violation of the terms of use.
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See [LICENSE](LICENSE) or [LICENSE.txt](LICENSE.txt) for the full license text.
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**Summary:**
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- ✅ Free to use, modify, and distribute
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- ✅ Commercial use allowed
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- ✅ Patent grant included
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- ✅ Private use allowed
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- ⚠️ Must include license and copyright notice
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- ⚠️ Must state changes if modifying
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---
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## Contact
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@@ -4,18 +4,24 @@ A modern language model implementation from scratch, incorporating insights from
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## License
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This project is licensed under the **Apache License 2.0**.
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This project is available under a **dual license**:
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### Apache 2.0 License (Research & Non-Commercial Use)
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**Free for:** Academic research, educational purposes, personal projects, open source contributions, and non-commercial use.
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### Commercial License (Commercial Use)
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**Requires a commercial license for:** Commercial products, SaaS applications, revenue-generating applications, and any profit-making use.
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**Contact:** carlos.gutierrez@carg.dev for commercial licensing inquiries.
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### Citation
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Please cite this work in academic publications.
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See [LICENSE](../LICENSE) or [LICENSE.txt](../LICENSE.txt) for the full license text.
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**Summary:**
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- ✅ Free to use, modify, and distribute
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- ✅ Commercial use allowed
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- ✅ Patent grant included
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- ✅ Private use allowed
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- ⚠️ Must include license and copyright notice
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- ⚠️ Must state changes if modifying
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## Table of Contents
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- [What is This?](#what-is-this)
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