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--- |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen2.5-3B-Instruct |
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- Qwen/Qwen2.5-7B-Instruct |
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datasets: |
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- KevinZonda/PubMed-IV |
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pipeline_tag: text-generation |
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tags: |
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- medical |
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- biology |
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--- |
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# MedSPO Family |
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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](https://huggingface.co/deepseek-ai/DeepSeek-V3-0324). |
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| Model | Parameters | Base Model | Huggingface | |
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| :-------: | :--------: | :-----------------: | ----------- | |
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| MedSPO-7B | 7B | Qwen2.5-7B-Instruct | [KevinZonda/MedSPO-7B](https://huggingface.co/KevinZonda/MedSPO-7B) | |
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| MedSPO-3B | 3B | Qwen2.5-3B-Instruct | [KevinZonda/MedSPO-3B](https://huggingface.co/KevinZonda/MedSPO-3B) | |
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## Magic Prompt |
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System Prompt: |
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```plain |
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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. |
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``` |
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User Prompt: |
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```xml |
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<input> |
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<title></title> |
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<abstract></abstract> |
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<conclusion></conclusion> |
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</input> |
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``` |
