| --- |
| 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" |
| } |
