privacy-filter-multilingual-GGUF
GGUF conversion of OpenMed/privacy-filter-multilingual, a multilingual PII token-classification model (a fine-tune of openai/privacy-filter). It labels every token with a BIOES tag over 54 PII categories (217 classes) across 16 languages, so it can be served locally with no Python as the encoder/NER tier of a PII redactor.
Params
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Context
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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 |
|---|---|---|---|---|
| privacy-filter-multilingual-q8.gguf | Q8 | 1.6 GB | 2.3 GB | ✅ Runs comfortably |
| privacy-filter-multilingual-f16.gguf | GGUF | 2.8 GB | 3.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-06-04
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-25
Compare with any token-classification model