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  Korean fine-tune of [OpenAI Privacy Filter](https://huggingface.co/openai/privacy-filter)
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  for span-level PII detection. Adapted via **LoRA** on attention projections only —
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- the base's sparse-MoE backbone (1.5B / 50M active params) is kept frozen, with
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- just **~614k trainable parameters** (~0.04% of the model).
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  **[Open Test Notebook](https://huggingface.co/FrameByFrame/privacy-filter-korean/blob/main/test_privacy_filter_ko.ipynb)** — load the model and run all examples interactively.
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  Korean fine-tune of [OpenAI Privacy Filter](https://huggingface.co/openai/privacy-filter)
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  for span-level PII detection. Adapted via **LoRA** on attention projections only —
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+ the base's sparse-MoE backbone (1.5B / 50M active params) is kept frozen.
 
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  **[Open Test Notebook](https://huggingface.co/FrameByFrame/privacy-filter-korean/blob/main/test_privacy_filter_ko.ipynb)** — load the model and run all examples interactively.
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