piiranha-v1-detect-personal-information
Piiranha (cc-by-nc-nd-4.0 license) is trained to detect 17 types of Personally Identifiable Information (PII) across six languages. It successfully catches 98.27% of PII tokens, with an overall classification accuracy of 99.44%. Piiranha is especially accurate at detecting passwords, emails (100%), phone numbers, and usernames.
Params
280 M
Context
512
Downloads 30d
236 K
Likes
249
Commercial use: not allowed · cc-by-nc-nd-4.0
Not gated
SAFETENSORS
6 languages
View on Hugging Face ↗
Download history
daily snapshots · 24 days309 K236 K
Aug 28Sep 5Sep 13Sep 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 | 1.1 GB | 1.8 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
- DebertaV2ForTokenClassification
- Parameters
- 280 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 251,000
- Layers / heads
- 12 / 12
- Licence
- cc-by-nc-nd-4.0
- First seen on the Hub
- 2024-09-12
- Training datasets
- ai4privacy/pii-masking-400k
- Added to our catalog
- 2026-08-28
Compare with any token-classification model