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Update to dual license: Apache 2.0 (Research) + Commercial License

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- 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
2025-11-06 22:15:15 -05:00
parent 3d2da94ce2
commit 82b1759c5a
5 changed files with 212 additions and 50 deletions
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CITATION.cff Normal file
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@@ -0,0 +1,19 @@
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "SheepOp LLM: Transformer-based Language Model Implementation"
version: "1.0.0"
date-released: "2024-11-06"
authors:
- given-names: "Carlos"
family-names: "Gutierrez"
email: "carlos.gutierrez@carg.dev"
keywords:
- "language model"
- "transformer"
- "deep learning"
- "neural networks"
- "LLM"
license: "Apache-2.0"
repository-code: "https://github.com/CarGDev/sheepOp"
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."

46
LICENSE
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@@ -1,17 +1,45 @@
Apache License Dual License: Apache 2.0 (Research) + Commercial License (Commercial Use)
Version 2.0, January 2004
http://www.apache.org/licenses/
Copyright (c) 2024 Carlos Gutierrez Copyright (c) 2024 Carlos Gutierrez
Licensed under the Apache License, Version 2.0 (the "License"); This software is available under two licenses:
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 1. APACHE 2.0 LICENSE (for research and non-commercial use)
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
This license applies to:
- Academic research
- Educational purposes
- Personal projects
- Open source contributions
- Non-commercial use
2. COMMERCIAL LICENSE (for commercial/profit-making use)
For commercial use, including but not limited to:
- Commercial products or services
- SaaS applications
- Revenue-generating applications
- Internal business use
- Any use that generates profit
Please contact: carlos.gutierrez@carg.dev
Subject: Commercial License Inquiry - SheepOp
Commercial licensing terms will be provided upon request.
3. CITATION REQUIREMENT (for academic use)
If you use this software in academic research or publications, you MUST cite:
Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
Implementation. https://github.com/[your-username]/sheepOp
Citation is a condition of use for academic purposes under this license.
Unless required by applicable law or agreed to in writing, software Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, distributed under the Apache License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and See the Apache License for the specific language governing permissions and
limitations under the License. limitations under the License.

102
LICENSE.txt
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@@ -1,3 +1,14 @@
DUAL LICENSE: APACHE 2.0 (RESEARCH) + COMMERCIAL LICENSE (COMMERCIAL USE)
Copyright (c) 2024 Carlos Gutierrez
================================================================================
PART 1: APACHE 2.0 LICENSE (FOR RESEARCH AND NON-COMMERCIAL USE)
================================================================================
This software is licensed under the Apache License, Version 2.0 for research,
academic, educational, and non-commercial purposes.
Apache License Apache License
Version 2.0, January 2004 Version 2.0, January 2004
http://www.apache.org/licenses/ http://www.apache.org/licenses/
@@ -138,8 +149,8 @@
6. Trademarks. This License does not grant permission to use the trade 6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor, names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the except as required for reasonable and customary use in describing
origin of the Work and reproducing the content of the NOTICE file. the origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or 7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each agreed to in writing, Licensor provides the Work (and each
@@ -174,29 +185,76 @@
incurred by, or claims asserted against, such Contributor by reason incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability. of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS END OF APACHE LICENSE TERMS
APPENDIX: How to apply the Apache License to your work. ================================================================================
PART 2: COMMERCIAL USE RESTRICTIONS
================================================================================
To apply the Apache License to your work, attach the following RESTRICTION: The Apache 2.0 license above applies ONLY to:
boilerplate notice, with the fields enclosed by brackets "[]" - Academic research
replaced with your own identifying information. (Don't include - Educational purposes
the brackets!) The text should be enclosed in the appropriate - Personal projects
comment syntax for the file format. We also recommend that a - Open source contributions
file or class name and description of purpose be included on the - Non-commercial use
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner] COMMERCIAL USE REQUIRES A SEPARATE LICENSE:
Licensed under the Apache License, Version 2.0 (the "License"); For any commercial use, including but not limited to:
you may not use this file except in compliance with the License. - Commercial products or services
You may obtain a copy of the License at - SaaS applications
- Revenue-generating applications
- Internal business use (for profit-making entities)
- Any use that generates profit or revenue
- Integration into commercial software products
http://www.apache.org/licenses/LICENSE-2.0 You MUST obtain a commercial license from the copyright holder.
Unless required by applicable law or agreed to in writing, software To obtain a commercial license, please contact:
distributed under the License is distributed on an "AS IS" BASIS, Email: carlos.gutierrez@carg.dev
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or Subject: Commercial License Inquiry - SheepOp
implied. See the License for the specific language governing
permissions and limitations under the License. Please include in your inquiry:
- Intended use case
- Expected usage volume
- Company/Organization name
- Contact information
Commercial licensing terms, including pricing, will be provided upon request.
================================================================================
CITATION REQUIREMENT FOR ACADEMIC USE
================================================================================
IMPORTANT: If you use this software in academic research, publications, or
any scholarly work, you MUST cite this work.
This is a condition of use under the Apache 2.0 license for academic purposes.
Required Citation Format:
@software{sheepop2024,
title = {SheepOp LLM: Transformer-based Language Model Implementation},
author = {Gutierrez, Carlos},
year = {2024},
url = {https://github.com/[your-username]/sheepOp},
version = {1.0}
}
Or in text format:
Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
Implementation. https://github.com/[your-username]/sheepOp
Failure to cite this work in academic publications constitutes a violation of
the terms of use for academic purposes.
================================================================================
SUMMARY
================================================================================
✅ Research/Education/Non-commercial: Apache 2.0 (free)
⚠️ Commercial use: Requires commercial license (contact for terms)
📝 Citation: Please cite in academic publications
For questions about licensing, contact: carlos.gutierrez@carg.dev

71
README.md
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@@ -2,7 +2,7 @@
**Author:** Carlos Gutierrez **Author:** Carlos Gutierrez
**Email:** carlos.gutierrez@carg.dev **Email:** carlos.gutierrez@carg.dev
**License:** Apache 2.0 **License:** Dual License - Apache 2.0 (Research) + Commercial License (Commercial Use)
A modern language model implementation from scratch, incorporating insights from recent research papers. A modern language model implementation from scratch, incorporating insights from recent research papers.
@@ -344,18 +344,69 @@ All detailed documentation is available in the [`docs/`](docs/) folder:
## License ## License
This project is licensed under the **Apache License 2.0**. This project is available under a **dual license**:
### Apache 2.0 License (Research & Non-Commercial Use)
**Free for:**
- ✅ Academic research
- ✅ Educational purposes
- ✅ Personal projects
- ✅ Open source contributions
- ✅ Non-commercial use
**Terms:**
- Free to use, modify, and distribute
- Patent grant included
- Must include license and copyright notice
- Must state changes if modifying
### Commercial License (Commercial Use)
**Requires a commercial license for:**
- ⚠️ Commercial products or services
- ⚠️ SaaS applications
- ⚠️ Revenue-generating applications
- ⚠️ Internal business use (for profit-making entities)
- ⚠️ Any use that generates profit or revenue
**To obtain a commercial license:**
Contact: **carlos.gutierrez@carg.dev**
Subject: Commercial License Inquiry - SheepOp
Please include:
- Intended use case
- Expected usage volume
- Company/Organization name
- Contact information
### Citation Requirement
**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.
**Required Citation Format:**
BibTeX:
```bibtex
@software{sheepop2024,
title = {SheepOp LLM: Transformer-based Language Model Implementation},
author = {Gutierrez, Carlos},
year = {2024},
url = {https://github.com/[your-username]/sheepOp},
version = {1.0}
}
```
Text format:
```
Carlos Gutierrez. (2024). SheepOp LLM: Transformer-based Language Model
Implementation. https://github.com/[your-username]/sheepOp
```
**Note:** Citation is required for academic use. Failure to cite constitutes a violation of the terms of use.
See [LICENSE](LICENSE) or [LICENSE.txt](LICENSE.txt) for the full license text. See [LICENSE](LICENSE) or [LICENSE.txt](LICENSE.txt) for the full license text.
**Summary:**
- ✅ Free to use, modify, and distribute
- ✅ Commercial use allowed
- ✅ Patent grant included
- ✅ Private use allowed
- ⚠️ Must include license and copyright notice
- ⚠️ Must state changes if modifying
--- ---
## Contact ## Contact

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docs/COMPLETE_GUIDE.md
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@@ -4,18 +4,24 @@ A modern language model implementation from scratch, incorporating insights from
## License ## License
This project is licensed under the **Apache License 2.0**. This project is available under a **dual license**:
### Apache 2.0 License (Research & Non-Commercial Use)
**Free for:** Academic research, educational purposes, personal projects, open source contributions, and non-commercial use.
### Commercial License (Commercial Use)
**Requires a commercial license for:** Commercial products, SaaS applications, revenue-generating applications, and any profit-making use.
**Contact:** carlos.gutierrez@carg.dev for commercial licensing inquiries.
### Citation
Please cite this work in academic publications.
See [LICENSE](../LICENSE) or [LICENSE.txt](../LICENSE.txt) for the full license text. See [LICENSE](../LICENSE) or [LICENSE.txt](../LICENSE.txt) for the full license text.
**Summary:**
- ✅ Free to use, modify, and distribute
- ✅ Commercial use allowed
- ✅ Patent grant included
- ✅ Private use allowed
- ⚠️ Must include license and copyright notice
- ⚠️ Must state changes if modifying
## Table of Contents ## Table of Contents
- [What is This?](#what-is-this) - [What is This?](#what-is-this)