OussamaEL/medgemma-ECG-C-gguf

MedGemma-4B ECG Report Generator

This is a fully merged, standalone model fine-tuned from unsloth/medgemma-4b-pt for ECG interpretation and clinical report generation. It was trained using the Unsloth library for high-efficiency, memory-optimized fine-tuning.

This model is designed to take structured output from a primary ML classifier (which provides findings like "Atrial Fibrillation: 82% confidence, Present") and synthesize it into a coherent, human-readable clinical report, complete with an impression, detailed analysis, and clinical recommendations.

Model Details

• Base Model: unsloth/medgemma-4b-pt
• Fine-tuning Method: Unsloth + LoRA (merged into base model)
• Training Data: 500 curated ECG interpretation examples.
• Evaluation Score: The model achieved an average structural correctness score of Not available / 1.0 on a hold-out set.

How to Use

(You can add instructions here on how to use the model, e.g., with transformers or llama.cpp)

Limitations

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