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Medra4b LORA

Developed by drwlf
Medra is a lightweight medical language model specifically designed for clinical reasoning, education, and dialogue modeling, built on Gemma 3 and suitable for local and mobile environments.
Downloads 53
Release Time : 4/20/2025

Model Overview

Medra is a cognitive tool aimed at providing deployable, interpretable, and ethically compliant AI assistance in the medical field, supporting structured medical queries, diagnostic steps, and clinical questioning strategies.

Model Features

Lightweight Clinical Reasoning Core
Fine-tuned to support structured medical queries, diagnostic steps, SOAP format, and clinical questioning strategies.
Local & Mobile-Friendly
Available in GGUF (Q4, Q8, BF16) formats, operable via local inference engines like Ollama, LM Studio, and KoboldCpp without requiring APIs.
High Interpretability
Designed for transparency and reflection, performing best when used as a partner rather than an oracle.
Ethically Integrated Design
Explicitly built to maintain alignment, caution, and suitability for human-in-the-loop medical scenarios.

Model Capabilities

Text Generation
Medical AI
Q&A Systems
Summarization
Dermatology

Use Cases

Medical Education
Medical Education & Exam-Style Reasoning
Supports reflection and learning simulations for medical students.
Case-Based Learning Simulations
Provides interpretable outputs for case simulations and reviews.
Clinical Assistance
AI Health Assistant Prototyping
Supports dialogue modeling in treatment or diagnostic scenarios.
Collaborative Thinking Tool
Serves as a reasoning optimization framework in clinical practice.
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