Jamie Pine 17106b1e40 Add progress tracking and caching checks for model downloads ...

- Introduced methods to check if models are cached locally in MLX and PyTorch backends.
- Enhanced progress tracking during model loading to filter out non-download progress when models are cached.
- Updated HFProgressTracker to conditionally report progress based on download status.
- Added test scripts for monitoring SSE events during model downloads and verifying progress tracking functionality.
- Improved overall error handling and logging for better debugging during model download processes.

2026-01-30 16:47:54 -08:00

..

__init__.py

Enhance MLX and PyTorch Backend Integration

2026-01-29 23:11:48 -08:00

mlx_backend.py

Add progress tracking and caching checks for model downloads

2026-01-30 16:47:54 -08:00

pytorch_backend.py

Add progress tracking and caching checks for model downloads

2026-01-30 16:47:54 -08:00