scripts/tools/RELEASE_INFO.md

BitTransformerLM v0.1.0 - Experimental Research Release

Release Date: August 2025
Status: Open Source Research Implementation
License: AGPLv3 + Commercial Licensing Available

What's Included

This release provides a complete experimental framework for bit-native language modeling research:

• Core Architecture: 57 Python files implementing bit-native transformer with reversible layers
• Safety Systems: Real-time K/C/S telemetry and monitoring
• Research Tools: Interactive dashboard, distributed training, comprehensive testing
• Documentation: Professional model card, research status, and validation reports

Important Notes

⚠️ Experimental Status: This is research code requiring rigorous baseline validation
⚠️ Not Production Ready: Needs extensive evaluation vs standard transformers
⚠️ Research Use Only: Intended for academic investigation and experimentation

Licensing

• Open Source: AGPLv3 for research and open source use
• Commercial: Contact contact@wcnegentropy.com for commercial licensing

Next Steps

The research community is invited to:

1. Conduct rigorous baseline comparisons vs standard transformers
2. Evaluate on established language modeling benchmarks
3. Validate (or refute) claimed memory efficiency benefits
4. Share findings openly to advance the field

Research responsibly. Validate rigorously. Share openly.