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- Updated caching methods in MLX, PyTorch, and backend to ensure models are fully downloaded before being marked as cached. - Improved progress tracking to filter out non-download progress and provide accurate feedback during model downloads. - Enhanced HFProgressTracker to skip non-byte progress bars and ensure meaningful progress reporting. - Refactored progress initialization to provide immediate feedback while fetching metadata from HuggingFace. - Added error handling and logging for better debugging during cache checks and download processes.