LibreDAMOYOLOns

The original damoyolo_nano_small.pth checkpoint was hosted on Alibaba's Aliyun bucket which is now offline. This weight was recovered from the Internet Archive's Wayback Machine, snapshot 20250307203141. Upstream only ever published the release_model/ckpt/before_distill/ flavor of the Nano series; no post-distill nano weights exist.

Copyright (c) 2021-2022 Alibaba Group Holding Limited. Licensed under the Apache License, Version 2.0.

Modifications

File rename only. damoyolo_nano_small.pth is bit-identical to LibreDAMOYOLOns.pt. LibreYOLO's nn.Module class hierarchy mirrors upstream's exactly so model.load_state_dict(...) is strict.

End-to-end bit-exact parity with upstream's pipeline verified at the backbone, neck, and head output level (0.0 absolute difference on identical input).

See libreyolo/models/damoyolo/ in the LibreYOLO source repository for the architecture port.

License

Apache License 2.0. See the LICENSE and NOTICE files in this repository.

--- license: apache-2.0 library_name: libreyolo tags: - object-detection - damo-yolo --- # LibreDAMOYOLOns DAMO-YOLO-Ns (TinyNAS_mob backbone with depthwise + GiraffeNeckV2 with depthwise + ZeroHead with GFL/DFL, reg_max=7, last_kernel_size=1). 1.4M params, 416x416 input, repackaged for LibreYOLO. COCO val 2017 mAP: **0.323** (per upstream README, at 416x416 input). ## Source Derived from [tinyvision/DAMO-YOLO](https://github.com/tinyvision/DAMO-YOLO) at commit `319572e`. The original `damoyolo_nano_small.pth` checkpoint was hosted on Alibaba's Aliyun bucket which is now offline. This weight was recovered from the [Internet Archive's Wayback Machine](https://web.archive.org/), snapshot `20250307203141`. Upstream only ever published the `release_model/ckpt/before_distill/` flavor of the Nano series; no post-distill nano weights exist. Copyright (c) 2021-2022 Alibaba Group Holding Limited. Licensed under the Apache License, Version 2.0. ## Modifications File rename only. `damoyolo_nano_small.pth` is bit-identical to `LibreDAMOYOLOns.pt`. LibreYOLO's `nn.Module` class hierarchy mirrors upstream's exactly so `model.load_state_dict(...)` is strict. End-to-end bit-exact parity with upstream's pipeline verified at the backbone, neck, and head output level (0.0 absolute difference on identical input). See `libreyolo/models/damoyolo/` in the [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo) for the architecture port. ## License Apache License 2.0. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in this repository.