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.