CommunityForensics-DeepfakeDet-ViT
- Ungated again. Friendly reminder to all to please respect the MIT license. Attribution should be made to the original project (see bottom) as well as this repository. Other than that, you're free to use the model as you wish.
Params
40 M
Context
—
Downloads 30d
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Likes
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Download history
daily snapshots · 10 days303 K283 K
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Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.1 GB | 0.7 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- ViTForImageClassification
- Parameters
- 40 M
- Tensor type
- F32
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2025-02-23
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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