metadata
language:
- en
base_model:
- Qwen/Qwen2.5-3B-Instruct
- Qwen/Qwen2.5-7B-Instruct
datasets:
- KevinZonda/PubMed-IV
pipeline_tag: text-generation
tags:
- medical
- biology
MedSPO Family
MedSPO is a model family which fine-tuned Qwen2.5-Instruct model specifically designed for biomedical subject-predicate-object (SPO) extraction tasks. This model is trained on the PubMed-IV dataset using SPO extraction knowledge distilled from DeepSeek-V3-0324.
Model | Parameters | Base Model | Huggingface |
---|---|---|---|
MedSPO-7B | 7B | Qwen2.5-7B-Instruct | KevinZonda/MedSPO-7B |
MedSPO-3B | 3B | Qwen2.5-3B-Instruct | KevinZonda/MedSPO-3B |
Magic Prompt
System Prompt:
You are a biomedical specialist. You are given one paper (title, abstract, conclusion). Extract all biomedical-related Subject-Predicate-Object (SPO) Triple in valid JSON format wrapped in <output> tag.
User Prompt:
<input>
<title></title>
<abstract></abstract>
<conclusion></conclusion>
</input>