Medical LLM SpiderCore 14B is a large language model specialized for Korean medical domain. Based on the Qwen3 architecture, it is optimized for medical question-answering and clinical reasoning tasks.

Model Details

Model Architecture: Qwen3ForCausalLM
Parameters: 14B
Languages: Korean, English
Specialization: Medical, Healthcare

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "edwinkim/medical_llm_spidercore_14B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example usage
prompt = "The patient presents with the following symptoms: headache, fever, cough. What are the possible diagnoses?"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=512)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

Limitations and Warnings

⚠️ Not for Medical Diagnosis

This model should only be used for educational and research purposes. Do not use this model for actual medical diagnosis or treatment decisions. Always consult with medical professionals.