Add README and model licence
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MIT License
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Copyright (c) 2026 Simone Rizzo — Rizzo AI Academy
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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# ai-privacy-models
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Model artifacts used by the [Local Privacy Runtime](https://git.a75.it/andrearuffini/ai_privacy)
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(private repository). Only the files needed for local inference are published.
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## rizzo-pii-0.3B — revision d4f9893
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Published as the generic package
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[`rizzo-pii-0.3B` version `d4f9893`](https://git.a75.it/andrearuffini/-/packages/generic/rizzo-pii-0.3B/d4f9893).
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| File | SHA-256 |
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|---|---|
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| `config.json` | `6b9d5bdd4a194d40fb40c53fdc302e225514cd7940d97f657c4082454ee7e91b` |
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| `tokenizer.json` | `a0ab5772a8c5450f45a66c95985d6df2205bf09449ba7ff7bb46de034eaa118a` |
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| `model.onnx` | `32e403d1607f05acc2e1c2582418dbeec464c50ce7362eeacc9ea9dadce1dd3c` |
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- **Source model:** [`rizzoaiacademy/rizzo-pii-0.3B`](https://huggingface.co/rizzoaiacademy/rizzo-pii-0.3B),
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revision `d4f989333bcda1fcb188785a12937b0f52b52580`, by Simone Rizzo — Rizzo AI Academy.
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- **`config.json`, `tokenizer.json`:** unchanged from the source revision.
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- **`model.onnx`:** FP32 ONNX export of the source weights, produced and validated by the
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Local Privacy Runtime project (opset 18; parity with the PyTorch reference within
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`atol=5e-5` on a synthetic corpus). Not an official artifact of the model author.
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- **Licence:** MIT, see [`LICENSE`](LICENSE).
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Do not trust these files because of where they come from: the runtime verifies every
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file against the SHA-256 values above, which are compiled into its binaries
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(`local-privacy-cli model install`).
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