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clemsail/micro-kiki-router-v4
micro-kiki-router-v4 is a machine learning model from clemsail. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
MiniLM-L6 embedding + MLP head. Classifies a user prompt into up to 34 domains (sigmoid, not softmax — domains are not mutually exclusive). Used at inference time by the micro-kiki serving layer to pick the top-K LoRA…
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Updated May 5, 2026
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From the Hugging Face model README
MiniLM-L6 embedding + MLP head. Classifies a user prompt into up to 34 domains (sigmoid, not softmax — domains are not mutually exclusive). Used at inference time by the micro-kiki serving layer to pick the top-K LoRA adapters to load alongside the Qwen3.6-35B-A3B base.
| Metric | Value |
|---|---|
| Train / val | 21 510 / 5 377 |
| top-1 accuracy | 0.464 |
| top-3 accuracy | 0.696 |
router.safetensors — MLP head weightslabel_map.json — domain ↔ index mapmeta.json — training config snapshotTraining & serving pipeline at
hypneum-lab/micro-kiki.
Trained by scripts/train_router_v4.py.
This adapter is provided as a fine-tuned LoRA under the AI Act framework (Regulation EU 2024/1689). Compliance metadata:
| Field | Value |
|---|---|
| Provider | L'Électron Rare (clemsail / electron-rare) |
| Role under AI Act | GPAI provider for this adapter |
| Base model | sentence-transformers/all-MiniLM-L6-v2 — see upstream provenance |
| Adapter type | LoRA / PEFT — adapter weights only; base unchanged |
| Training data origin | L'Électron Rare proprietary technical corpus + curated public docs |
| License | Apache-2.0 (adapter). Upstream base licence applies separately. |
| Intended use | Domain-routing classifier |
| Out of scope | Healthcare diagnosis, legal advice, autonomous safety-critical decisions, generation of malicious code |
| Risk classification | Limited risk — Article 50 transparency obligations apply |
| Copyright respect | Training data does not include scraped copyrighted material. Opt-out signals (robots.txt, ai.txt) are honoured for web-sourced data. |
| Full provenance | https://github.com/L-electron-Rare/eu-kiki/tree/main/docs/provenance |
| Contact | [email protected] — biased output reports, copyright concerns, etc. |
⚠️ You are using an AI model. Outputs may be inaccurate, biased or fabricated. Do not act on them without independent verification, especially in regulated domains.