phishing-email-detection-distilbert_v2.4.1
This model is based on DistilBERT and has been fine-tuned for multilabel classification of Emails and URLs as safe or potentially phishing.
Params
70 M
Context
512
Downloads 30d
310 K
Likes
28
Download history
daily snapshots · 55 days
▲ 4 K in the last 30 days (1.2%)
313 K289 K
Aug 22Sep 1Sep 11Sep 20
313 K283 K
Jul 28Aug 15Sep 2Sep 20
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
- 70 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 30,522
- Licence
- apache-2.0
- First seen on the Hub
- 2024-10-27
- Training datasets
- cybersectony/PhishingEmailDetectionv2.0
- Added to our catalog
- 2026-07-28
Compare with any text-classification model