Add README and model licence

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