DINOv3 ConvNeXt

• Original code: https://github.com/huggingface/transformers at v5.19.0
• Code licence: LicenseRef-DINOv3-License (permissive); files: LICENSE.md
• Weights licence: LicenseRef-DINOv3-License
• Licence evidence: https://huggingface.co/facebook/dinov3-convnext-tiny-pretrain-lvd1689m/blob/10d30274b4d445111e2d5bf75ac93bbd94db274b/LICENSE.md (DINOv3 License; gated: accept on Hugging Face to download)
• Training data: distilled from the DINOv3 ViT-7B teacher on LVD-1689M (1.689B images curated from public Instagram images), self-supervised, per the paper; not released
• Licence note: Code and weights use the DINOv3 License (Meta: attribution and conditions apply); read it before commercial use.
• Kernel libraries: fvm_conv, fvm_seg
• Variants: dinov3-convnext-tiny, dinov3-convnext-small, dinov3-convnext-base, dinov3-convnext-large
• Outputs: last_hidden_state, pooler_output
• Input size: any H x W >= 1, resized or padded inside the model
• Tested up to (portable, fp16, RTX 5060 Ti 16 GB): dinov3-convnext-tiny 3000x4000 (1.9 GiB peak allocated, 2.6 reserved); dinov3-convnext-small 3000x4000 (1.9 GiB peak allocated, 2.6 reserved); dinov3-convnext-base 3000x4000 (2.5 GiB peak allocated, 3.5 reserved); dinov3-convnext-large 3000x4000 (3.7 GiB peak allocated, 5.1 reserved)
• dinov3-convnext-tiny 224x224, first call: portable + torch.compile 8 s (cold Inductor cache), TensorRT fp16 23 s (ONNX + engine).
• dinov3-convnext-tiny load / first call: original 0.43 s / 1.034 s, portable 0.48 s / 0.417 s, kernels 0.08 s / 0.124 s
• dinov3-convnext-small load / first call: original 0.27 s / 0.01 s, portable 0.25 s / 0.334 s, kernels 0.11 s / 0.074 s
• dinov3-convnext-base load / first call: original 0.42 s / 0.015 s, portable 0.43 s / 0.27 s, kernels 0.19 s / 0.104 s
• dinov3-convnext-large load / first call: original 1.64 s / 0.017 s, portable 0.85 s / 0.241 s, kernels 0.38 s / 0.2 s
• Protocol, first call, 3 warm-up, peak reset, median of 3 rounds x median of 5

Measured

Two disjoint seeded subsets of the val folders; each image shorter side 256 (bicubic), centre crop 224, the CLS / pooled feature; cosine kNN, vote weighted by similarity. Original = the original code named under Details, same checkpoint and protocol.

Measured on NVIDIA GeForce RTX 5060 Ti, torch 2.14.1+cu130, fastforks 939adfe8, 2026-11-06.

Parity

CPU, float32: max |diff| <= 0.0001 vs the original. GPU, float16 (the default), portable and kernels: mean |diff| <= 1 % and p99 <= 4 % of the reference's median |value| (absolute error of the output last_hidden_state).