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alaminxpro/university-complaint-router-llm

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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App README

AUST Complaint Router — Fine-tuned LLM API

Fine-tuned Qwen3.5-0.8B (Q4KM quantization) running on CPU via llama-cpp-python.

Model

DetailValue
Base modelQwen/Qwen3.5-0.8B
Fine-tuned withUnsloth + QLoRA
QuantizationQ4KM (4-bit, 529 MB)
Source repoalaminxpro/university-complaint-router-qwen3.5-0.8b
Inferencellama-cpp-python (CPU)

API

GET /health

Health check — also wakes the Space from sleep.

POST /university-complain-router/

Classify a complaint.

bash
curl -X POST https://alaminxpro-aust-complaint-router-llm.hf.space/university-complain-router/ \
  -H "Content-Type: application/json" \
  -d '{"complaint": "The projector in room 4A05 is broken."}'

Swagger docs: /docs

Note

This is the LLM-based endpoint (~5-15s per request on free CPU). For faster inference (<2ms), see the TF-IDF + SVM version.