| # 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. | |