phishing-distilbert-cyber207
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Params
67 M
Context
512
Downloads 30d
274 K
Likes
0
Download history
daily snapshots · 9 days274 K205 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 | 0.3 GB | 0.8 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
- DistilBertForSequenceClassification
- Parameters
- 67 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 30,522
- First seen on the Hub
- 2026-03-30
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-16
Compare with any text-classification model