mlboydaisuke / DINOv2-ViT-S14-ExecuTorch

huggingface.co
Total runs: 85
24-hour runs: 0
7-day runs: -26
30-day runs: -36
Model's Last Updated: September 04 2026
image-feature-extraction

Introduction of DINOv2-ViT-S14-ExecuTorch

Model Details of DINOv2-ViT-S14-ExecuTorch

dinov2_vits14 — ExecuTorch XNNPACK

  • Source : facebookresearch/dinov2 (torch.hub)
  • License : Apache-2.0
  • Input : [[1, 3, 518, 518]] — RGB, ImageNet norm, 518x518
  • Output : cls token [1,384], patch tokens [1,1369,384]
Variants

All variants take and return fp32 tensors — swap the .pte file, keep your app code.

precision file size (MB) parity vs fp32 eager (worst corr) Mac median (ms)*
fp32 dinov2_vits14_xnnpack_fp32.pte 88.4 1.000000 159.0
fp16 dinov2_vits14_xnnpack_fp16.pte 44.8 0.999945 283.7
int8 (dynamic) dinov2_vits14_xnnpack_int8.pte 24.9 0.998009 155.7

*Mac arm64, single process, median of 10 — a reference point for relative cost only, not a device number (torch eager fp32 on the same machine: 50.8 ms).

Checked in the task's own units

Correlation is a first filter. These are the numbers that decide:

  • int8 (dynamic) — measured in the units that matter for this model — cosine similarity of the embeddings: median 0.9986 over 10 real images, worst 0.9965.
Verification (executorch 1.4.0, torch 2.13.0)

Parity is measured against the fp32 eager model on real image input; corr is the correlation over all elements of each output tensor.

output shape max_abs_diff corr
0 [1, 384] 3.219e-05 1.000000
1 [1, 1369, 384] 4.311e-04 1.000000

XNNPACK delegate coverage (fp32): 66.7% (414/621 ops); ops left on the portable kernels: aten.expand_copy.default x49, aten.squeeze_copy.dims x36, aten.native_layer_norm.default x25, aten.mul.Scalar x24, aten.logical_not.default x24, aten.eq.Scalar x12, aten.full_like.default x12, aten.any.dim x12, aten.where.self x12, aten.select_copy.int x1

Conversion

torch.export -> to_edge_transform_and_lower(XnnpackPartitioner) -> .pte (conversion scripts: executorch-models )

Runs of mlboydaisuke DINOv2-ViT-S14-ExecuTorch on huggingface.co

85
Total runs
0
24-hour runs
-44
3-day runs
-26
7-day runs
-36
30-day runs

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DINOv2-ViT-S14-ExecuTorch install

DINOv2-ViT-S14-ExecuTorch is an open source model from GitHub that offers a free installation service, and any user can find DINOv2-ViT-S14-ExecuTorch on GitHub to install. At the same time, huggingface.co provides the effect of DINOv2-ViT-S14-ExecuTorch install, users can directly use DINOv2-ViT-S14-ExecuTorch installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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