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authentrics/pii-removal-medical-llama32
pii-removal-medical-llama32 is a text generation model from authentrics. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
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Updated Sep 25, 2026
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From the Hugging Face model README
A medical-advice chatbot was fine-tuned on data that included personally identifiable information. Authentrics locates where that data entered the model and removes it with exclude_training — no retraining from scratch.
Authentrics is a high-performance neural-network analysis library (Python wheel over a C++ core). It audits and maintains model checkpoints: parameter/behavioral drift, compliant data removal without full retraining, and loss-driven optimization without backprop. Analysis runs locally on your machine — only project metadata (names, descriptions) is exchanged with Authentrics servers, never your model weights.
static_analysis — audit parameter drift between pairs of sequential checkpoints.exclude_training — compliance / unlearning: remove the effect of specific training session(s) (e.g. a sensitive/bad data slice) from the latest checkpoint without retraining from scratch.The public code and outputs behind this demo live in https://github.com/Authentrics-ai/authentrics-analysis-examples/blob/main/hf_medical_chatbot.ipynb.
Model checkpoints and sample data are in the companion LFS repo Authentrics-ai/authentrics-analysis-example-models. The related published checkpoints live at authentrics/medical-chatbot-pii-often, -pii-overtrained, and -pii-removed.
Weights: This card documents a reproducible unlearning workflow; the corrected checkpoint is not redistributed here. Reproduce it locally with the SDK below.
pip install authentrics # Linux x86_64, Python 3.11–3.13
authrx init # paste API key (stored at ~/.local/state/authentrics/api_key)
# or, for CI / non-interactive:
export AUTHRX_API_KEY=<your_api_key>
Generate an API key and read the full docs at https://app.authentrics.ai/.
Produced with the Authentrics SDK v0.35.1 — checkpoint analysis that runs locally on your own hardware; only project metadata ever leaves your machine, never your weights.