🚀 Refined BitTransformerLM: Organized codebase with best practices

scripts/README.md

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+# BitTransformerLM Scripts
+
+This directory contains organized scripts for BitTransformerLM development, training, and evaluation.
+
+## Directory Structure
+
+```
+scripts/
+├── training/          # Training scripts and experiments
+├── examples/          # Example usage and demonstrations
+├── testing/           # Test scripts and validation
+├── benchmarks/        # Performance benchmarks
+└── tools/             # Utility scripts and data processing
+```
+
+## Training Scripts (`training/`)
+
+- **basic_training.py** - Simple training setup for small models
+- **breakthrough_training.py** - Advanced training with breakthrough techniques
+- **cpu_edge_training.py** - CPU-optimized training for edge deployment
+- **final_breakthrough_training.py** - Production training pipeline
+- **full_attention_training.py** - Full attention mechanism training
+- **full_bits_train.py** - Complete bit-level training
+- **production_training.py** - Production-ready training script
+- **progressive_scaleup.py** - Progressive model scaling
+- **quick_training_run.py** - Fast training for development
+
+## Example Scripts (`examples/`)
+
+- **example.py** - Basic usage example
+- **better_sampling.py** - Advanced sampling techniques
+- **debug_generation.py** - Generation debugging utilities
+- **raw_generation.py** - Low-level generation examples
+- **simple_test.py** - Simple model testing
+
+## Testing Scripts (`testing/`)
+
+- **code_test.py** - Code functionality testing
+- **diffusion_tests.py** - Diffusion mode testing
+- **enhanced_generation_test.py** - Advanced generation testing
+- **full_attention_inference_test.py** - Attention mechanism tests
+- **test_conversation.py** - Conversational AI testing
+
+## Benchmark Scripts (`benchmarks/`)
+
+- **wikitext_benchmark.py** - WikiText dataset benchmarking
+- **wikitext_schedule.py** - WikiText training schedule
+
+## Utility Tools (`tools/`)
+
+- **build_full_bits.py** - Bit sequence construction
+- **create_dataset.py** - Dataset creation utilities
+- **enhanced_checkpoint_system.py** - Advanced checkpointing
+- **integration_flow.py** - Integration workflow
+- **integration_schedule.py** - Integration scheduling
+- **sync_to_hf.py** - HuggingFace synchronization
+- **unified_workflow.py** - Unified training workflow
+- **watcher.py** - File system monitoring
+
+## Usage
+
+All scripts support the standardized CLI interface provided by `bit_transformer.cli_standards`. Use `--help` with any script to see available options.
+
+### Quick Start
+
+```bash
+# Train a small model
+python scripts/training/basic_training.py --model-size small --epochs 5
+
+# Run a simple test
+python scripts/examples/simple_test.py --d-model 64
+
+# Benchmark on WikiText
+python scripts/benchmarks/wikitext_benchmark.py --dataset-name wikitext-2
+```
+
+### Environment Variables
+
+Scripts support configuration via environment variables with `BT_` prefix:
+
+```bash
+export BT_D_MODEL=128
+export BT_NUM_LAYERS=4
+export BT_BATCH_SIZE=16
+python scripts/training/basic_training.py
+```
+
+## Development Guidelines
+
+- All scripts should use `bit_transformer.cli_standards` for argument parsing
+- Include proper logging and error handling
+- Support both CPU and GPU execution
+- Follow the naming conventions established in existing scripts
+- Add documentation for any new hyperparameters or features