Advanced Checkpoint Loaders allow users to map each of the elements of the checkpoint to a different device, or in the case of DisTorch2, shard the UNet and CLiP .safetensors arbitrarily whilst ensuring actual computation remains on selected `compute` device.
Added example workflow for standard and DisTorch2 MultGPU checkpoint loaders.
This commit introduces a major reorganization of the `examples` directory to improve clarity and discoverability. Workflows are now grouped into subdirectories based on the features they demonstrate (e.g., `distorch`, `distorch2`, `gguf`, `multiGPU`).
Key changes:
- Moved existing example JSON files into new categorized folders.
- Added several new and updated workflows, particularly for DisTorch2.
- Removed outdated or redundant example files.
- Renamed an internal function from `..._gguf_v2` to `..._safetensor_v2` to better reflect its broader functionality in DisTorch2.
John Pollock