models/registry/<version-id>/
├── weights.pt           ← primary PyTorch checkpoint
├── exports/             ← derived export formats
│   ├── model.onnx
│   ├── model.engine     ← TensorRT (hardware-specific, gitignored)
│   └── pruned_weights.pt
└── metadata.json        ← version info and metrics

Naming convention

<architecture>-<task>-<variant>-<YYYY-MM-DD>

Examples:

yolo26n-seg-overlap-false-2026-04-12 — yolo26n, segmentation, overlap_mask=False, trained 2026-04-12
yolo26n-seg-multiscale-2026-03-16 — yolo26n, segmentation, multi-scale training

metadata.json schema

Field	Description
`model_id`	Same as directory name
`family`	Base architecture (e.g. `yolo26n`)
`task`	`segmentation`, `detection`, etc.
`training_date`	ISO date of training run
`export_formats`	List of available formats
`metrics`	mAP, precision, recall, etc.

Active production model

See models/active/production.json for the currently deployed version.