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chore: rebrand card to Ailiance

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  1. README.md +8 -8
README.md CHANGED
@@ -8,7 +8,7 @@ tags:
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  - platformio
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  - lora
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  - sft
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- - kiki-tuning
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  language:
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  - en
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  - fr
@@ -17,12 +17,12 @@ datasets:
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  pipeline_tag: text-generation
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  ---
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- # KIKI PLATFORMIO SFT — LoRA Adapter
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  Fine-tuned LoRA adapter for **platformio** domain expertise, based on `Qwen/Qwen3-8B`.
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- Part of the [KIKI Models Tuning](https://github.com/L-electron-Rare/KIKI-models-tuning) pipeline
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- for the [FineFab](https://github.com/L-electron-Rare) platform.
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  ## Training Details
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@@ -42,7 +42,7 @@ from peft import PeftModel
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", device_map="auto")
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- model = PeftModel.from_pretrained(model, "clemsail/kiki-platformio-sft")
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  tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")
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  ```
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@@ -57,17 +57,17 @@ This adapter is provided as a fine-tuned LoRA under the AI Act framework
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  | Field | Value |
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  |---|---|
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- | Provider | L'Électron Rare (clemsail / electron-rare) |
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  | Role under AI Act | GPAI provider for this adapter |
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  | Base model | `Qwen/Qwen3-8B` — see upstream provenance |
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  | Adapter type | LoRA / PEFT — adapter weights only; base unchanged |
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- | Training data origin | L'Électron Rare proprietary technical corpus + curated public docs |
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  | License | Apache-2.0 (adapter). Upstream base licence applies separately. |
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  | Intended use | PlatformIO build system |
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  | Out of scope | Healthcare diagnosis, legal advice, autonomous safety-critical decisions, generation of malicious code |
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  | Risk classification | Limited risk — Article 50 transparency obligations apply |
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  | Copyright respect | Training data does not include scraped copyrighted material. Opt-out signals (robots.txt, ai.txt) are honoured for web-sourced data. |
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- | Full provenance | https://github.com/L-electron-Rare/eu-kiki/tree/main/docs/provenance |
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  | Contact | postmaster@saillant.cc — biased output reports, copyright concerns, etc. |
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  ⚠️ **You are using an AI model.** Outputs may be inaccurate, biased or
 
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  - platformio
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  - lora
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  - sft
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+ - ailiance-tuning
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  language:
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  - en
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  - fr
 
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  pipeline_tag: text-generation
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  ---
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+ # Ailiance PLATFORMIO SFT — LoRA Adapter
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  Fine-tuned LoRA adapter for **platformio** domain expertise, based on `Qwen/Qwen3-8B`.
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+ Part of the [Ailiance Models Tuning](https://github.com/ailiance/ailiance-models-tuning) pipeline
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+ for the [Ailiance](https://github.com/ailiance) platform.
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  ## Training Details
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B", device_map="auto")
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+ model = PeftModel.from_pretrained(model, "clemsail/ailiance-platformio-sft")
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  tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")
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  ```
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  | Field | Value |
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  |---|---|
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+ | Provider | Ailiance (clemsail / electron-rare) |
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  | Role under AI Act | GPAI provider for this adapter |
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  | Base model | `Qwen/Qwen3-8B` — see upstream provenance |
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  | Adapter type | LoRA / PEFT — adapter weights only; base unchanged |
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+ | Training data origin | Ailiance proprietary technical corpus + curated public docs |
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  | License | Apache-2.0 (adapter). Upstream base licence applies separately. |
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  | Intended use | PlatformIO build system |
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  | Out of scope | Healthcare diagnosis, legal advice, autonomous safety-critical decisions, generation of malicious code |
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  | Risk classification | Limited risk — Article 50 transparency obligations apply |
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  | Copyright respect | Training data does not include scraped copyrighted material. Opt-out signals (robots.txt, ai.txt) are honoured for web-sourced data. |
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+ | Full provenance | https://github.com/ailiance/ailiance/tree/main/docs/provenance |
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  | Contact | postmaster@saillant.cc — biased output reports, copyright concerns, etc. |
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  ⚠️ **You are using an AI model.** Outputs may be inaccurate, biased or