60 lines
2.4 KiB
Markdown
60 lines
2.4 KiB
Markdown
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---
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tags:
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- sft
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- unsloth
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- medical
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- clinical
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license: apache-2.0
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datasets:
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- mattwesney/CoT_Medical_Diagnosis
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language:
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- en
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base_model:
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- khazarai/Med-o1-1.7B
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pipeline_tag: text-generation
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---
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# Model Card for Med-o1-1.7B
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## Model Details
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GGUF version of https://huggingface.co/khazarai/Med-o1-1.7B
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Med-o1-1.7B is fine-tuned specifically for medical diagnostic reasoning. Using the CoT_Medical_Diagnosis dataset, the model has learned to not only provide medical diagnoses but also to explain the step-by-step clinical reasoning that leads to its conclusions.
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Key features of Med-o1-1.7B include:
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- Chain-of-Thought (CoT) reasoning: Generates transparent and structured reasoning for diagnostic decisions.
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- Clinical logic and evidence synthesis: Mimics human-style differential diagnosis and evaluates patient information systematically.
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- Medical domain specialization: Focused entirely on clinical scenarios, from symptom analysis to medical history interpretation.
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- Trust and explainability: Designed to build confidence in AI-driven medical assistance by clearly showing how conclusions are reached.
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This model is ideal for researchers, educators, and developers aiming to study, demonstrate, or integrate AI-assisted medical reasoning.
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## Uses
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### Intended Use
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- Educational purposes: Teaching clinical reasoning and differential diagnosis.
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- Research applications: Exploring AI in medical decision support and diagnostic logic.
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- Prototyping healthcare AI tools: Generating interpretable diagnostic reasoning.
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⚠️ Important: This model is not intended for actual medical diagnosis or treatment decisions. Outputs should not be relied upon as a substitute for professional medical judgment. Always consult licensed healthcare professionals.
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## Bias, Risks, and Limitations
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- Not a substitute for professional medical advice or diagnosis
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- Trained on a limited dataset (3000+ cases); performance may vary with novel or complex clinical scenarios
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## Training Data
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The model was fine-tuned on the [moremilk/CoT_Medical_Diagnosis](https://huggingface.co/datasets/moremilk/CoT_Medical_Diagnosis) dataset:
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- Over 3007 detailed medical scenarios
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- Each entry includes: patient symptoms, history, reasoning steps (CoT), and final diagnosis
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- Scenarios cover a wide range of clinical cases, ensuring broad exposure to medical reasoning patterns
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The dataset emphasizes transparent reasoning, helping the model learn to articulate logical steps for arriving at conclusions.
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