---
tags:
- sft
- unsloth
- medical
- clinical
license: apache-2.0
datasets:
- mattwesney/CoT_Medical_Diagnosis
language:
- en
base_model:
- khazarai/Med-o1-1.7B
pipeline_tag: text-generation
---

# Model Card for Med-o1-1.7B

## Model Details

GGUF version of https://huggingface.co/khazarai/Med-o1-1.7B

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.

Key features of Med-o1-1.7B include:

- Chain-of-Thought (CoT) reasoning: Generates transparent and structured reasoning for diagnostic decisions.
- Clinical logic and evidence synthesis: Mimics human-style differential diagnosis and evaluates patient information systematically.
- Medical domain specialization: Focused entirely on clinical scenarios, from symptom analysis to medical history interpretation.
- Trust and explainability: Designed to build confidence in AI-driven medical assistance by clearly showing how conclusions are reached.

This model is ideal for researchers, educators, and developers aiming to study, demonstrate, or integrate AI-assisted medical reasoning.


## Uses

### Intended Use

- Educational purposes: Teaching clinical reasoning and differential diagnosis.
- Research applications: Exploring AI in medical decision support and diagnostic logic.
- Prototyping healthcare AI tools: Generating interpretable diagnostic reasoning.

⚠️ 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.


## Bias, Risks, and Limitations

- Not a substitute for professional medical advice or diagnosis
- Trained on a limited dataset (3000+ cases); performance may vary with novel or complex clinical scenarios


## Training Data

The model was fine-tuned on the [moremilk/CoT_Medical_Diagnosis](https://huggingface.co/datasets/moremilk/CoT_Medical_Diagnosis) dataset:

- Over 3007 detailed medical scenarios
- Each entry includes: patient symptoms, history, reasoning steps (CoT), and final diagnosis
- Scenarios cover a wide range of clinical cases, ensuring broad exposure to medical reasoning patterns

The dataset emphasizes transparent reasoning, helping the model learn to articulate logical steps for arriving at conclusions.