MedAlpaca-Blood-Finetuned is a fine-tuned medical language model specialized in clinical interpretation of blood test results.
It is built on top of MedAlpaca-7B and refined using a curated dataset of laboratory parameters and their clinical significance.

🧠 Model Details

Model Description

This model is trained to understand, explain, and reason about blood test parameters, including:

Normal and abnormal ranges
Clinical significance
Possible diseases or conditions associated with each parameter
Base Model: medalpaca/medalpaca-7b
Fine-tuned By: Jahnavi Ganapati (@ganapati-jahnavi)
Language: English
License: Apache 2.0
Framework: PEFT (LoRA)
Hardware: NVIDIA CUDA GPU (Colab T4)
Fine-tuning Epochs: 2
Precision: bfloat16 mixed precision

🚀 Use Cases

Direct Use

Clinical reasoning for medical professionals or students
Automated lab report summarization
Educational explanation of lab test results

Downstream Use

Integration into healthcare chatbots or EMR systems
Further fine-tuning for multi-modal clinical agents

Out-of-Scope Use

⚠️ This model should not be used for real clinical decision-making without expert supervision.
It is meant for educational and research purposes only.

⚖️ Bias, Risks, and Limitations

Model responses depend entirely on training data accuracy.
May not generalize to all populations or lab measurement standards.
Should not be used as a substitute for medical advice.

Recommendations

Use this model under supervision by qualified clinicians or educators.
Always verify outputs with trusted medical sources.

💻 How to Use

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PEFT 0.10.0

ganapati-jahnavi/medalpaca-blood-finetuned

🧬 MedAlpaca-Blood-Finetuned