Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+- ro
+base_model: google/gemma-3-4b-it
+datasets:
+- nicoboss/medra-medical
+tags:
+- text-generation
+- medical-ai
+- question-answering
+- summarization
+- dermatology
+- gemma-3
+- fine-tuned
+pipeline_tag: text-generation
+
+
+## Medra: Your Compact Medical Reasoning Partner
+
+Model Size: 4b
+Version: Medra v1 (Gemma Edition)  
+Format: GGUF (Q4, Q8, BF16)  
+License: Apache 2.0  
+Author: Dr. Alexandru Lupoi & @nicoboss
+
+---
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/67b8da27d00e69f10c3b086f/eiFEKsWSOwxCDBGUD3TgK.png)
+
+## Overview
+
+**Medra** is a purpose-built, lightweight medical language model designed to assist in clinical reasoning, education, and dialogue modeling.  
+Built on top of **Gemma 3**, Medra is the first step in a long-term project to create deployable, interpretable, and ethically aligned AI support systems for medicine.
+
+It is compact enough to run on consumer hardware.  
+Capable enough to support nuanced medical prompts.  
+And principled enough to never pretend to replace human judgment.
+
+Medra is not a chatbot.  
+It is a **cognitive tool**—a reasoning companion for students, clinicians, and researchers exploring how AI can help illuminate the complexity of care without oversimplifying it.
+
+---
+
+## Purpose & Philosophy
+
+Medra was developed to fill a crucial gap in the current AI landscape:
+
+While many general-purpose LLMs excel at open-domain conversation, very few are optimized for **structured, medically relevant reasoning.**  
+Even fewer can run **locally**, offline, and in real-time—particularly in environments where access to massive models is impractical or unethical.
+
+Medra aims to provide:
+- Interpretable outputs for case simulation and review
+- Support for differential diagnosis exploration
+- A reflective partner for medical students
+- A framework for reasoning refinement in applied clinical contexts
+
+This project is rooted in the belief that AI in healthcare must be **transparent**, **educational**, and **augmentative**—not autonomous, extractive, or misleading.
+
+---
+
+## Key Capabilities
+
+- **Lightweight Clinical Reasoning Core**  
+  Medra is fine-tuned to support structured medical queries, diagnostic steps, SOAP formatting, and clinical questioning strategies.
+
+- **Local and Mobile Friendly**  
+  Offered in GGUF (Q4, Q8, BF16), Medra can run on local devices via Ollama, LM Studio, KoboldCpp, and other local inference engines—no API needed.
+
+- **Data & Alignment**  
+  Trained on medical content including PubMed-derived literature, reasoning datasets (e.g. R1 distilled), clinical notes, and prompt structures modeled after real-world physician interactions.
+
+- **High Interpretability**  
+  Designed for transparency and reflection—not black-box decision-making. Medra works best when prompted like a partner, not a prophet.
+
+- **Designed for Ethical Integration**  
+  Built with the explicit goal of remaining aligned, cautious, and useful for **human-in-the-loop** medical settings.
+
+---
+
+## Intended Use
+
+- Medical education and exam-style reasoning  
+- Case-based learning simulation  
+- AI health assistant prototyping  
+- Dialogue modeling in therapeutic or diagnostic contexts  
+- As a tool for **thinking alongside**, not thinking *instead of*
+
+---
+
+## Limitations
+
+- Medra is **not a licensed medical professional.**  
+  It is not intended for real-world diagnosis, treatment planning, or patient interaction without human oversight.
+
+- The model may hallucinate, oversimplify, or present outdated medical knowledge in edge cases.
+
+- Medra is not currently equipped with long-term memory, real-world clinical data access, or the authority to guide care.
+
+- It is a prototype. A foundation. Not a finished replacement for expertise.
+
+---
+
+## Technical Details
+
+- **Base model:** Gemma 3  
+- **Fine-tuning stages:** Instructional tuning (STF); RLHF planned in upcoming release  
+- **Data domains:** Medical Q&A, differential diagnosis formats, clinical conversation datasets, PubMed-derived material  
+- **Supported inference engines:** Ollama, LM Studio, KoboldCpp, GGML-compatible platforms  
+- **Quantization formats:** Q4, Q8, BF16
+
+---
+
+## License
+
+Apache 2.0
+
+---
+
+## The Medra Family
+
+Medra is part of a growing family of medical reasoning models:
+
+- **Medra** — Gemma-based compact model for lightweight local inference  
+- **MedraQ** — Qwen 3-based, multilingual and adaptive version  
+- **MedraOmni** — Future flagship model built on Qwen 2.5 Omni with full multimodal support
+
+Each model in the series is purpose-built, ethically scoped, and focused on responsible augmentation of healthcare knowledge—not its replacement.
+
+---
+
+## Final Note
+
+Medra exists because medicine deserves tools that reflect **care**, not just computation.  
+It is small, but intentional.  
+Experimental, but serious.  
+And it was built with one purpose:
+
+> To make intelligent care more accessible, more transparent, and more aligned with the human beings it’s meant to serve.
+# Uploaded finetuned  model
+
+- **Developed by:** drwlf & nicoboss
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-3-4b-it-unsloth-bnb-4bit