# BitTransformerLM v2.0 - Production Release 🚀

## Major Optimizations Implemented

✅ **Performance Enhancements**
- Optimized run-length encoding with batch processing and parallel compression
- Memory-efficient chunked attention for long sequences with gradient checkpointing
- Advanced pipeline parallelism with load balancing and memory management

✅ **Code Quality Improvements**  
- Unified CLI flag naming conventions across all scripts
- Standardized function signatures with comprehensive type hints
- Comprehensive error recovery system with fallback mechanisms

✅ **Production Readiness**
- Enhanced distributed training with FSDP and advanced communication optimization
- Robust error handling with graceful degradation
- Memory monitoring and automatic optimization

## Key Features
- **Bit-native Architecture**: Efficient processing of binary sequences
- **Safety Telemetry**: K/C/S metrics for model behavior monitoring  
- **Reversible Layers**: Memory-efficient transformer architecture
- **Multi-format Support**: Run-length encoding, bit packing, diffusion mode
- **Distributed Training**: Advanced parallelism with automatic load balancing

Ready for production deployment and large-scale training workloads.