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Anjaligiriraj/medical-llm-mistral
medical-llm-mistral is a question answering model from Anjaligiriraj. Use it when the input is a question plus a passage. The card lists the license as apache-2.0.
Fine-tuned Mistral-7B on 5000+ medical QA samples using LoRA (Low-Rank Adaptation) and 4-bit quantization. Built end-to-end pipeline with Streamlit deployment and Medical Agent with conversation memory.
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Updated Mar 26, 2026
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From the Hugging Face model README
Fine-tuned Mistral-7B on 5000+ medical QA samples using LoRA (Low-Rank Adaptation) and 4-bit quantization. Built end-to-end pipeline with Streamlit deployment and Medical Agent with conversation memory.
| Dataset | Samples |
|---|---|
| MedAlpaca MedQA | 2000 |
| MedAlpaca WikiDoc | 1500 |
| ChatDoctor HealthCareMagic | 1500 |
| Total | 5000 |
| Metric | Score |
|---|---|
| ROUGE-1 | 0.2199 |
| ROUGE-2 | 0.0674 |
| ROUGE-L | 0.1447 |
from transformers import pipeline
pipe = pipeline( "text-generation", model="Anjaligiriraj/medical-llm-mistral" )
result = pipe("What are symptoms of diabetes?", max_new_tokens=200) print(result[0]['generated_text'])
https://github.com/Anjli-cdhry/Healthcare-LLM-LoRA
For educational purposes only. Always consult a qualified medical professional.