---
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
library_name: peft
pipeline_tag: text-generation
language:
- en
tags:
- emergency-response
- resqai
- structured-json
- lora
- qwen2.5
- Indian-emergency-system
---

# Emergency_informed_Qwen

**Emergency_informed_Qwen** is a fine-tuned LoRA adapter based on [`Qwen/Qwen2.5-0.5B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)[cite: 2]. It is specifically trained as the **Emergency Understanding Agent** for the **ResQAI Emergency Response System**[cite: 2, 3].

This model can be seamlessly integrated into the development of modern emergency response systems to extract structured key features from raw distress inputs[cite: 2, 3]. These extracted features can then be mapped directly with real-time tools—such as geocoding APIs, routing engines, and dispatch databases—to form a complete, end-to-end intelligent emergency agent.

---

## Model Details

* **Developed by:** ResQAI Project Team[cite: 3]
* **Model Type:** Causal Language Model (Fine-Tuned Adapter via PEFT/LoRA)
* **Base Model:** `Qwen/Qwen2.5-0.5B-Instruct`
* **Task:** Zero-shot / Few-shot Emergency Classification & Structured JSON Extraction
* **Fine-Tuning Framework:** Hugging Face `trl` (SFTTrainer) & `peft`
* **Language:** English (optimized for Indian emergency context)

---

## Intended Use

### Primary Use Case
This model acts as an emergency feature extraction engine[cite: 2, 3]. Given an unstructured report (voice transcripts, text messages, citizen distress calls), it extracts[cite: 2, 3]:
1. **Emergency Type & Severity Level**
2. **Services Required** (EMS, Fire Brigade, Police)
3. **Medical Speciality Needed**
4. **Immediate Citizen First-Aid / Action Advice**

### Output Format
The model strictly outputs **only valid JSON** adhering to the following schema:

```json
{
  "citizen_advice": ["Call emergency services immediately", "Stay clear of smoke"],
  "emergency_type": "Fire",
  "medical_speciality": "Emergency Medicine",
  "services_required": ["Emergency Medical Services (EMS)", "Firefighting"],
  "severity": "High"
}