Cli . py

[Leoleojames1]

The unsloth-cli.py is a powerful interface for building local applications with Unsloth. After building the CLI into the backend of my dataset construction tool, I realized that heavy modifications were needed in order to support the finetuning pipeline I had constructed. The following is my proposal for unsloth-cli-2.py, an enhanced feature set for the unsloth CLI:

Key Features:

1. Flexible Data Handling:

   • Support for Parquet, JSON, and other data formats
   • Custom data parsing and processing pipelines

2. Advanced Model Management:

   • Load and save models in various formats (Hugging Face, GGUF)
   • Quantization options for memory-efficient training and inference
   • Dequantization capabilities for precision-sensitive operations

3. Comprehensive Training Pipeline:

   • Support for train, validation, and test datasets
   • Customizable training parameters (batch size, learning rate, etc.)
   • Integration with popular optimization techniques (LoRA, gradient checkpointing)

4. Merging and Adaptation:

   • Merge LoRA adapters with base models
   • Dequantization options for merging quantized models

5. Deployment and Sharing:

   • GGUF conversion for optimized model deployment
   • Direct integration with Hugging Face Hub for easy model sharing

6. Robust Error Handling and Logging:

   • Detailed error messages and logging for easier debugging
   • Fallback options for model loading and processing