metadata
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
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)"