# nsfw_image_detector vs vit-base-patch16-224: Specs and GPU Cost
Source: https://savrn.com/models/compare/nsfw-image-detector-vs-vit-base-patch16-224
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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| Field | [nsfw_image_detector](https://savrn.com/models/nsfw-image-detector) Freepik/nsfw_image_detector | [vit-base-patch16-224](https://savrn.com/models/vit-base-patch16-224) google/vit-base-patch16-224 |
| --- | --- | --- |
| Publisher | Freepik | Google |
| Task | Image classification | Image classification |
| Modality | Image | Image |
| Parameters, as reported | 86M parameters | 87M parameters |
| Architecture | TimmWrapperForImageClassification | ViTForImageClassification |
| Library | transformers | transformers |
| Context length | Not stated | Not stated |
| Repository size | 172.7 MB | 1.4 GB |
| Artifact formats | safetensors, pytorch | safetensors, pytorch, jax, tf |
| License | mit | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 0.2 GB | 0.2 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.1 GB | 0.1 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 15b85477e4fd | 3f49326eb077 |
| Downloads reported by the hub | 345.9k | 14.5M |
| Last observed | 2026-09-18 | 2026-10-25 |

An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.

## SAVRN's Notes on nsfw_image_detector

Put this in front of an image pipeline and let it sort what comes through. The 86M parameter EVA vision transformer was fine-tuned on 100,000 synthetically labeled images to place a picture in one of four bands, neutral, low, medium or high. At 16-bit the weights take 0.2 GB, so it never earns a GPU of its own; the cheapest slot is one MI300X with 192 GB at $1.85 per hour on-demand, and it rides alongside whatever larger model already holds that card.

MIT permits commercial use, modification and redistribution as long as the copyright and permission notices travel with it, so a moderation service can ship it with little legal friction. Before committing, note that it derives from the timm eva02_base_patch14_448 checkpoint, so the input side follows that base, and that the last update was May 9, 2025, a month after the April 10, 2025 release. Stored precision is bfloat16.

SAVRN Research, 2026-09-18

## SAVRN's Notes on vit-base-patch16-224

You will barely notice this one on a card. At 16-bit it needs 0.2 GB to run, and the cheapest setup we list, one MI300X with 192 GB at $1.85 an hour on demand, has room for it hundreds of times over. It sorts a 224 by 224 image into one of 1,000 ImageNet 2012 classes; Google pre-trained its 87M parameters on 14 million ImageNet-21k images. The accelerator question is images per hour and what else shares the card, never fit.

Apache 2.0 lets you fine-tune it to your own labels, run it commercially and redistribute it, provided the license and NOTICE file travel along and you state what you changed, with a patent grant included. Check that the 1,000 ImageNet labels cover your need; anything else means training a new head on your data. The weights date from September 2023 and are a conversion from the timm repository.

SAVRN Research, 2026-09-18

## Questions

### Which is larger, nsfw_image_detector or vit-base-patch16-224?

vit-base-patch16-224 (87M parameters) is larger than nsfw_image_detector (86M parameters), by the parameter counts their publishers report.

### Which is cheaper to run, nsfw_image_detector or vit-base-patch16-224?

At 4-bit, nsfw_image_detector fits on 1x MI300X from $1.85 an hour and vit-base-patch16-224 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### Can I use nsfw_image_detector commercially?

Yes. nsfw_image_detector is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

### Can I use vit-base-patch16-224 commercially?

Yes. vit-base-patch16-224 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

## Related Comparisons

- [vit-base-patch16-224 vs vit_base_patch16_384.augreg_in21k_ft_in1k](https://savrn.com/models/compare/vit-base-patch16-224-vs-vit-base-patch16-384-augreg-in21k-ft-in1k)
- [vit-base-patch16-224 vs vit_base_patch8_224.augreg2_in21k_ft_in1k](https://savrn.com/models/compare/vit-base-patch16-224-vs-vit-base-patch8-224-augreg2-in21k-ft-in1k)