50 lines
1.3 KiB
Markdown
50 lines
1.3 KiB
Markdown
---
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base_model: Qwen/Qwen3-8B
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tags:
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- medical
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- korean
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- healthcare
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- llm
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- qwen
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language:
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- ko
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- en
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pipeline_tag: text-generation
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---
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# Medical LLM SpiderCore 8B
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## Model Description
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Medical LLM SpiderCore 8B 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.
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## Model Details
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- **Model Architecture**: Qwen3ForCausalLM
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- **Parameters**: 8B
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- **Languages**: Korean, English
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- **Specialization**: Medical, Healthcare
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "edwinkim/medical_llm_spidercore_8B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Example usage
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prompt = "The patient presents with the following symptoms: headache, fever, cough. What are the possible diagnoses?"
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=512)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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## Limitations and Warnings
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⚠️ **Not for Medical Diagnosis**
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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.
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