🚀 Refined BitTransformerLM: Organized codebase with best practices

scripts/tools/RELEASE_INFO.md

@@ -0,0 +1,35 @@
+# 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.**