Add EU AI Act compliant model card

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: swiss-ai/Apertus-70B-Instruct-2509
+library_name: peft
+tags:
+- mlx
+- lora
+- peft
+- ailiance
+- apertus
+- embedded
+language:
+- en
+- fr
+pipeline_tag: text-generation
+---
+
+# Ailiance — Apertus-70B-Instruct embedded LoRA
+
+LoRA adapter fine-tuned on `swiss-ai/Apertus-70B-Instruct-2509` for **embedded** tasks.
+
+> Maintained by **Ailiance** — French AI org publishing EU AI Act aligned LoRA adapters and datasets.
+
+## Quick start (MLX)
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load(
+    "swiss-ai/Apertus-70B-Instruct-2509",
+    adapter_path="Ailiance-fr/apertus-embedded-lora",
+)
+
+print(generate(model, tokenizer, prompt="..."))
+```
+
+## Training
+
+| Hyperparameter   | Value                  |
+|------------------|------------------------|
+| Base model       | `swiss-ai/Apertus-70B-Instruct-2509`     |
+| Method           | LoRA via `mlx-lm`      |
+| Rank             | 16            |
+| Scale            | 2.0           |
+| Alpha            | 32           |
+| Max seq length   | 1024  |
+| Iterations       | 500           |
+| Optimizer        | Adam, LR 1e-5          |
+| Hardware         | Apple M3 Ultra 512 GB  |
+
+Training data lineage: derived from the **eu-kiki / mascarade** corpus
+(Ailiance-fr datasets) curated for the `embedded` domain. See the
+[Ailiance-fr dataset catalog](https://huggingface.co/Ailiance-fr) for upstream cards.
+
+## EU AI Act compliance
+
+- **Article 53(1)(c)**: training data licenses preserved (permissive only).
+- **Article 53(1)(d)**: training data summary — see source dataset cards on Ailiance-fr.
+- **GPAI Code of Practice (July 2025)**: base `swiss-ai/Apertus-70B-Instruct-2509` released under apache-2.0; this LoRA inherits.
+- **No web scraping**, **no licensed data**, **no PII**.
+
+## License
+
+LoRA weights: **apache-2.0** (inherited from base).
+
+## Citation
+
+```bibtex
+@misc{ailiance_apertus_embedded_2026,
+  author    = {Ailiance},
+  title     = {Ailiance — Apertus-70B-Instruct embedded LoRA},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/Ailiance-fr/apertus-embedded-lora}
+}
+```
+
+## Related
+
+See the full [Ailiance-fr LoRA collection](https://huggingface.co/Ailiance-fr).