Document Version: 1.0.0
Last Updated: 2024-09-21
Review Date: 2024-12-21
Maintained By: SpiralGang Development Team
This document provides comprehensive attribution, licensing information, and references for all external sources, libraries, frameworks, and resources used in the VARIABOT project. Proper attribution ensures compliance with open-source licenses and intellectual property requirements.
-
HuggingFace Hub - Model hosting and API access
- Repository: https://github.com/huggingface/huggingface_hub
- License: Apache License 2.0
- Usage: Model API access and authentication
- Citation: Hugging Face. (2024). HuggingFace Hub Python Library. Retrieved from https://huggingface.co/docs/huggingface_hub/
-
Gradio Client - Model interface client
- Repository: https://github.com/gradio-app/gradio
- License: Apache License 2.0
- Version: 0.16.0
- Usage: Remote model interaction and API calls
- Citation: Abid, A., Abdalla, A., Abid, A., Khan, D., Alfozan, A., & Zou, J. (2019). Gradio: Hassle-free sharing and testing of ML models in the web. arXiv preprint arXiv:1906.02569.
- Streamlit - Web application framework
- Repository: https://github.com/streamlit/streamlit
- License: Apache License 2.0
- Version: 1.24.0
- Usage: User interface and web application hosting
- Citation: Streamlit Inc. (2024). Streamlit: The fastest way to build and share data apps. Retrieved from https://streamlit.io/
-
Qwen1.5-110B-Chat
- Provider: Alibaba Cloud
- HuggingFace: https://huggingface.co/Qwen/Qwen1.5-110B-Chat-demo
- License: Custom License (see model page)
- Paper: Bai, J., et al. (2023). Qwen Technical Report. arXiv preprint arXiv:2309.16609.
- Usage: Large language model for chat interactions
-
Qwen1.5-MoE-A2.7B-Chat
- Provider: Alibaba Cloud
- HuggingFace: https://huggingface.co/Qwen/qwen1.5-MoE-A2.7B-Chat-demo
- License: Custom License (see model page)
- Architecture: Mixture of Experts (MoE)
- Usage: Efficient chat model with expert routing
- Phi-3-mini-128k-instruct
- Provider: Microsoft Research
- HuggingFace: https://huggingface.co/eswardivi/Phi-3-mini-128k-instruct
- License: MIT License
- Paper: Abdin, M., et al. (2024). Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. arXiv preprint arXiv:2404.14219.
- Context Length: 128,000 tokens
- Usage: Compact model for resource-constrained environments
- OpenELM-3B
- Provider: Apple Inc.
- HuggingFace: https://huggingface.co/Norod78/OpenELM_3B_Demo
- License: Apple Sample Code License
- Paper: Mehta, S., et al. (2024). OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework. arXiv preprint arXiv:2404.14619.
- Usage: Efficient language model with optimized architecture
@article{vaswani2017attention,
title={Attention is all you need},
author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia},
journal={Advances in neural information processing systems},
volume={30},
year={2017},
url={https://arxiv.org/abs/1706.03762}
}@article{brown2020language,
title={Language models are few-shot learners},
author={Brown, Tom and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared D and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and others},
journal={Advances in neural information processing systems},
volume={33},
pages={1877--1901},
year={2020},
url={https://arxiv.org/abs/2005.14165}
}@article{fedus2022switch,
title={Switch transformer: Scaling to trillion parameter models with simple and efficient sparsity},
author={Fedus, William and Zoph, Barret and Shazeer, Noam},
journal={Journal of Machine Learning Research},
volume={23},
number={120},
pages={1--39},
year={2022},
url={https://arxiv.org/abs/2101.03961}
}- Python - Programming language
- Version: 3.8+
- License: Python Software Foundation License
- URL: https://www.python.org/
- Usage: Core programming language
-
Black - Code formatter
- Repository: https://github.com/psf/black
- License: MIT License
- Usage: Automated code formatting
-
Pylint - Static code analysis
- Repository: https://github.com/PyCQA/pylint
- License: GPL v2
- Usage: Code quality analysis and linting
-
MyPy - Static type checker
- Repository: https://github.com/python/mypy
- License: MIT License
- Usage: Type checking and validation
- Pytest - Testing framework
- Repository: https://github.com/pytest-dev/pytest
- License: MIT License
- Usage: Unit and integration testing
-
Qwen Logo -
qwen100logo.png,qwenMoElogo.png- Source: Alibaba Cloud official assets
- Usage: Model identification in UI
- License: Used with permission for educational/research purposes
-
Phi-3 Logo -
Phi3mini128-logo.png- Source: Microsoft official assets
- Usage: Model identification in UI
- License: Used under Microsoft brand guidelines
-
OpenELM Logo -
OpenELMlogo.png- Source: Apple official assets
- Usage: Model identification in UI
- License: Used under Apple brand guidelines
- GIF Demonstrations - Various
.giffiles- Creator: VARIABOT development team
- License: MIT License (same as project)
- Purpose: Usage demonstrations and documentation
- Service: HuggingFace Inference API
- Documentation: https://huggingface.co/docs/api-inference/
- Terms of Service: https://huggingface.co/terms-of-service
- Privacy Policy: https://huggingface.co/privacy
- Rate Limits: Varies by model and subscription tier
- Authentication: API token required
-
Qwen Spaces:
- Qwen/Qwen1.5-110B-Chat-demo
- Qwen/qwen1.5-MoE-A2.7B-Chat-demo
-
Phi-3 Spaces:
- eswardivi/Phi-3-mini-128k-instruct
-
OpenELM Spaces:
- Norod78/OpenELM_3B_Demo
- Streamlit Documentation - https://docs.streamlit.io/
- Gradio Documentation - https://gradio.app/docs/
- HuggingFace Documentation - https://huggingface.co/docs/
- Python Documentation - https://docs.python.org/
- Python PEP 8 - https://pep8.org/
- Google Python Style Guide - https://google.github.io/styleguide/pyguide.html
- Semantic Versioning - https://semver.org/
- Conventional Commits - https://conventionalcommits.org/
- OWASP Top 10 - https://owasp.org/www-project-top-ten/
- NIST Cybersecurity Framework - https://www.nist.gov/cyberframework
- CIS Controls - https://www.cisecurity.org/controls/
-
GDPR - General Data Protection Regulation
- URL: https://gdpr.eu/
- Relevance: Data privacy compliance for EU users
-
CCPA - California Consumer Privacy Act
- URL: https://oag.ca.gov/privacy/ccpa
- Relevance: Privacy compliance for California users
- ISO/IEC 25010 - Systems and software Quality Requirements and Evaluation (SQuaRE)
- IEEE 829 - Standard for Software and System Test Documentation
- ISO/IEC 27001 - Information Security Management Systems
- ISO/IEC 23053 - Framework for AI risk management
- IEEE 2857 - Privacy engineering for software and systems
- ISO/IEC 23094 - Artificial Intelligence Risk Management
Note: Specific training data for external models is not directly used by VARIABOT, but the following references provide context:
-
Common Crawl - Web crawl data used by many LLMs
- URL: https://commoncrawl.org/
- License: Various (depends on source)
-
OpenWebText - Open-source recreation of GPT-2 training data
- URL: https://github.com/jcpeterson/openwebtext
- License: Various (depends on source)
- HuggingFace Community - https://huggingface.co/community
- Streamlit Community - https://discuss.streamlit.io/
- Python Software Foundation - https://www.python.org/community/
- Stack Overflow - https://stackoverflow.com/questions/tagged/huggingface
- GitHub Issues - Project-specific issue tracking
- Discord/Slack - Real-time community support
When using external code snippets or adapting implementations:
# Adapted from: [Source URL]
# Original Author: [Author Name]
# License: [License Type]
# Modifications: [Description of changes made]When using AI model outputs:
# Model: [Model Name] by [Provider]
# Version: [Model Version]
# License: [Model License]
# Accessed: [Date]- Monthly: Dependency version checks
- Quarterly: License compliance review
- Annually: Comprehensive attribution audit
- All new dependencies must be approved and documented
- License changes require legal review
- Attribution updates tracked in audit trail
- Automated license scanning in CI/CD pipeline
- Regular audits of external resource usage
- Legal review for commercial deployment
- Legal Team: [Contact via project maintainers]
- Compliance Officer: [Contact via project maintainers]
- Open Source Coordinator: [Contact via project maintainers]
- GitHub Issues: https://github.com/spiralgang/VARIABOT/issues
- Project Maintainers: See README.md for current contacts
Disclaimer: This document represents our best effort to provide accurate attribution and licensing information. If you believe any attribution is incorrect or missing, please contact the project maintainers immediately for correction.
Legal Notice: Use of external models and services is subject to their respective terms of service and licensing agreements. Users are responsible for ensuring compliance with all applicable terms when deploying VARIABOT in their environment.