π Add release notes for v2.0 production release
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RELEASE_NOTES.md
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# BitTransformerLM v2.0 - Production Release π
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## Major Optimizations Implemented
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β
**Performance Enhancements**
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- Optimized run-length encoding with batch processing and parallel compression
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- Memory-efficient chunked attention for long sequences with gradient checkpointing
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- Advanced pipeline parallelism with load balancing and memory management
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β
**Code Quality Improvements**
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- Unified CLI flag naming conventions across all scripts
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- Standardized function signatures with comprehensive type hints
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- Comprehensive error recovery system with fallback mechanisms
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β
**Production Readiness**
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- Enhanced distributed training with FSDP and advanced communication optimization
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- Robust error handling with graceful degradation
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- Memory monitoring and automatic optimization
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## Key Features
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- **Bit-native Architecture**: Efficient processing of binary sequences
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- **Safety Telemetry**: K/C/S metrics for model behavior monitoring
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- **Reversible Layers**: Memory-efficient transformer architecture
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- **Multi-format Support**: Run-length encoding, bit packing, diffusion mode
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- **Distributed Training**: Advanced parallelism with automatic load balancing
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Ready for production deployment and large-scale training workloads.
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