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pilot-resnet18-imagenette
FasterAI-Labs/pilot-resnet18-imagenette
pilot-resnet18-imagenette is a machine learning model from FasterAI-Labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fastermodels. The card lists the license as bsd-3-clause.
Imagenette validation, 3925 images, one run. Every published file is scored after reload; the reference is the fine-tuned source.
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.safetensors21.1 MB · 66%
At a glance
- Library
- fastermodels
- License
- bsd-3-clause
- Access
- Public
- Created
- Sep 11, 2026
- Updated
- Sep 11, 2026
- SHA
- a8d82922
Datasets
Model card
From the Hugging Face model README
resnet18 — Imagenette pilot
Imagenette validation, 3925 images, one run. Every published file is scored after reload; the reference is the fine-tuned source.
Criteria
Top-1 on the evaluation set named above, size on disk, peak live activations and multiply-accumulates — the last two for one image of (3, 160, 160) at batch 1 — each against the fine-tuned resnet18.
pruned FP32 — load with fastermodels.load(repo) (model.safetensors)
| criterion | reference | this artifact | gap |
|---|---|---|---|
| top-1 | 93.3 % | 91.4 % | -1.9 pt [-2.7, -1.1] |
| size | 44.8 MB, 11.2 M params | 21.1 MB, 5.3 M params | -52.8 % |
| memory | 3.3 MB | 2.0 MB | -37.5 % |
| MACs | 925.3 M | 425.8 M | -54.0 % |
INT8 TorchScript — load with fastermodels.load(repo) or torch.jit.load (model.torchscript.pt)
| criterion | reference | this artifact | gap |
|---|---|---|---|
| top-1 | 93.3 % | 91.3 % | -2.0 pt [-2.8, -1.2] |
| size | 44.8 MB, 11.2 M params | 5.4 MB, n/a params | -88.0 % |
| memory | 3.3 MB | 0.4 MB | -88.3 % |
| MACs | 925.3 M | 425.8 M | -54.0 % |
INT8 ONNX — load with any ONNX runtime, scored here through onnxruntime (model.onnx)
| criterion | reference | this artifact | gap |
|---|---|---|---|
| top-1 | 93.3 % | 91.2 % | -2.1 pt [-2.9, -1.3] |
| size | 44.8 MB, 11.2 M params | 5.4 MB, n/a params | -88.0 % |
| memory | 3.3 MB | 0.4 MB | -88.3 % |
| MACs | 925.3 M | 425.8 M | -54.0 % |
Gaps are measured on the same images as the reference; brackets give the 95 % interval.
Latency
non mesurée
Provenance
- Source model: torchvision.models.resnet18 (IMAGENET1K_V1)
- fasterai:
0.4.0 - fastermodels:
0.1.0 - torch:
2.9.1+cu128 - measured_on:
2026-09-11 - source_state_hash:
b81b9caef3c9
Publication checks: 10/10 passed.
- Library
- fastermodels
- License
- bsd-3-clause
- Created
- Sep 11, 2026
- Updated
- Sep 11, 2026