chore: rebrand card to Ailiance

README.md

@@ -6,7 +6,7 @@ tags:
   - peft
   - mlx
   - ailiance
-  - eu-kiki
+  - ailiance
   - eu-ai-act
   - art-52
   - art-53
@@ -19,7 +19,7 @@ library_name: peft
 
 # devstral-rust-lora
 
-LoRA adapter for **mistralai/Devstral-Small-2-24B-Instruct-2512**, part of the [ailiance](https://github.com/L-electron-Rare/ailiance) project. Live demo: https://www.ailiance.fr.
+LoRA adapter for **mistralai/Devstral-Small-2-24B-Instruct-2512**, part of the [ailiance](https://github.com/ailiance/ailiance) project. Live demo: https://www.ailiance.fr.
 
 > **EU AI Act compliance.** This card follows the **European Commission's
 > *Template for the Public Summary of Training Content* for general-purpose
@@ -37,7 +37,7 @@ LoRA adapter for **mistralai/Devstral-Small-2-24B-Instruct-2512**, part of the [
 
 | Field | Value |
 |---|---|
-| **Provider name and contact details** | L'Électron Rare (Saillant Clément) — `clemsail` on Hugging Face — Issues: https://github.com/L-electron-Rare/ailiance/issues |
+| **Provider name and contact details** | Ailiance (Saillant Clément) — `clemsail` on Hugging Face — Issues: https://github.com/ailiance/ailiance/issues |
 | **Authorised representative name and contact details** | Not applicable — provider is established within the European Union (France). |
 
 ## 1.2. Model identification
@@ -58,7 +58,7 @@ LoRA adapter for **mistralai/Devstral-Small-2-24B-Instruct-2512**, part of the [
 | **Approximate size in alternative units** | ≈ 0.6 M tokens. |
 | **Latest date of data acquisition / collection for model training** | 11/2024 (StarCoder2 Self-Instruct release). The model is **not** continuously trained on new data after this date. |
 | **Linguistic characteristics of the overall training data** | English. No other natural languages. |
-| **Other relevant characteristics / additional comments** | LoRA fine-tune (rank 16, alpha 32, dropout 0.05); only attention projections (`q_proj`, `k_proj`, `v_proj`, `o_proj`) are trained. Per-record `_provenance` (source, SPDX licence, `record_idx`, `access_date`) attached at the system level (see [`docs/eu-ai-act-transparency.md`](https://github.com/L-electron-Rare/ailiance/blob/main/docs/eu-ai-act-transparency.md) §4.4). Tokenizer: inherited from the base model. |
+| **Other relevant characteristics / additional comments** | LoRA fine-tune (rank 16, alpha 32, dropout 0.05); only attention projections (`q_proj`, `k_proj`, `v_proj`, `o_proj`) are trained. Per-record `_provenance` (source, SPDX licence, `record_idx`, `access_date`) attached at the system level (see [`docs/eu-ai-act-transparency.md`](https://github.com/ailiance/ailiance/blob/main/docs/eu-ai-act-transparency.md) §4.4). Tokenizer: inherited from the base model. |
 
 ---
 
@@ -128,8 +128,8 @@ _(N/A — no other data sources used.)_
 
 - **Public HF datasets (§2.1):** all carry permissive open licences (Apache-2.0, MIT, CC-BY-*, BSD); SPDX matrix verified per-source. The licences explicitly authorise instructional / model-training use for the rows actually selected.
 - **Web-scraped sources (§2.3):** prior to collection the provider verified `robots.txt`, `<meta name="robots" content="noai">`, `ai.txt`, and TDM-Reservation HTTP headers. Any source returning a reservation under Article 4(3) of Directive (EU) 2019/790 was excluded from collection. Scraping was limited to authoritative vendor-controlled repositories (ESP-IDF, STM32Cube, Arduino, KiCad symbols/footprints) operating under permissive licences.
-- **Vendor PDF datasheets (§2.2.2 where present):** processed under the EU DSM Directive Article 4 TDM exception. SHA-256 manifests and per-source legal-basis records are published in [`docs/pdf-compliance-report.md`](https://github.com/L-electron-Rare/ailiance/blob/main/docs/pdf-compliance-report.md).
-- **Public copyright policy (Art. 53(1)(c)):** [`docs/eu-ai-act-transparency.md`](https://github.com/L-electron-Rare/ailiance/blob/main/docs/eu-ai-act-transparency.md). Removal requests are handled via the issue tracker on the source repository; the provider commits to remove disputed content within 30 days and re-train on the next release cycle.
+- **Vendor PDF datasheets (§2.2.2 where present):** processed under the EU DSM Directive Article 4 TDM exception. SHA-256 manifests and per-source legal-basis records are published in [`docs/pdf-compliance-report.md`](https://github.com/ailiance/ailiance/blob/main/docs/pdf-compliance-report.md).
+- **Public copyright policy (Art. 53(1)(c)):** [`docs/eu-ai-act-transparency.md`](https://github.com/ailiance/ailiance/blob/main/docs/eu-ai-act-transparency.md). Removal requests are handled via the issue tracker on the source repository; the provider commits to remove disputed content within 30 days and re-train on the next release cycle.
 
 ## 3.2. Removal of illegal content
 
@@ -153,8 +153,8 @@ _(N/A — no other data sources used.)_
 **HumanEval** (custom Studio scorer): base 87.20 → +rust 86.59 = **−0.61 pts**. Best of the three Devstral adapters in this release.
 
 Full bench results, methodology, env.json, and rerun.sh per measurement:
-[`eval/results/SUMMARY.md`](https://github.com/L-electron-Rare/ailiance/blob/main/eval/results/SUMMARY.md) ·
-[`MODEL_CARD.md`](https://github.com/L-electron-Rare/ailiance/blob/main/MODEL_CARD.md).
+[`eval/results/SUMMARY.md`](https://github.com/ailiance/ailiance/blob/main/eval/results/SUMMARY.md) ·
+[`MODEL_CARD.md`](https://github.com/ailiance/ailiance/blob/main/MODEL_CARD.md).
 
 ---
 
@@ -197,11 +197,11 @@ python -m mlx_lm fuse \
 # Appendix D — Citation
 
 ```bibtex
-@misc{eu-kiki-2026,
-  title  = {eu-kiki: EU-sovereign multi-model LLM serving with HF-traceable LoRA adapters},
+@misc{ailiance-2026,
+  title  = {ailiance: EU-sovereign multi-model LLM serving with HF-traceable LoRA adapters},
   author = {Saillant, Clément},
   year   = {2026},
-  url    = {https://github.com/L-electron-Rare/ailiance},
+  url    = {https://github.com/ailiance/ailiance},
   note   = {Live demo: https://www.ailiance.fr}
 }
 ```