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
311 K
Likes
26
Download history
daily snapshots · 10 days311 K303 K
Jul 28Jul 31Aug 3Aug 6
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
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