README.md

---
language: ko
license: mit
tags:
- exaone
- awq
- "4-bit"
- quantized
- "119"
- emergency
base_model: LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
---

# EXAONE 3.5 7.8B AWQ - 119 EMT Chatbot

AWQ 4-bit quantized version of EXAONE 3.5 7.8B fine-tuned for Korean 119 emergency medical services.

## Model Details

- **Base Model**: LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
- **Quantization**: AWQ 4-bit (5.32GB)
- **Fine-tuning**: Korean 119 EMT emergency protocols
- **Language**: Korean
- **Use Case**: Emergency medical guidance for pediatric patients

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "hymmmm/exaone-3.5-7.8b-awq",
    device_map="auto"
)

tokenizer = AutoTokenizer.from_pretrained("hymmmm/exaone-3.5-7.8b-awq")
```

## Training Data

Based on "119 EMT Field Emergency Treatment Standard Guidelines 2023 (Pediatric)"