Moderation and safetyText analysis

Piiranha

A popular detector of 17 types of personal data in six European languages. No Russian and a non-commercial license: suitable for trials and research.

Developer
iiiorg, not disclosed
First release
Sep 2024
Latest release
Sep 2024
Sizes
278M
License
Non-commercial onlyCC-BY-NC-ND 4.0: non-commercial use only
Russian
Not supported
Running
On your own serverAlso runs without a GPU
Industries
Security, Legal, Healthcare
Deploy on your server Hugging Face

What it does

  • Finding personal data in texts
  • Comparing the quality of PII detectors

Where it is used

ResearchData protection pilots

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Piiranha v1

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Piiranha be used in a commercial project?

No. License: CC-BY-NC-ND 4.0: non-commercial use only. A commercial product needs a different model or a separate agreement with the rights holder.

What hardware does Piiranha need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Piiranha support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download Piiranha and what does it cost?

The Piiranha weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/iiiorg/piiranha-v1-detect-personal-information. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.