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a1f8d56 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | # 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.**
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