Create README.md

README.md

@@ -0,0 +1,149 @@
+---
+license: apache-2.0
+language:
+- en
+- ro
+base_model: google/gemma-3-4b-it
+datasets:
+- drwlf/medra-thinking-768
+tags:
+- text-generation
+- medical-ai
+- summarization
+- diagnostic-reasoning
+- gemma-3
+- fine-tuned
+model_size: 4B
+version: Medra v1 – Gemma Edition
+format: GGUF (Q4, Q8, BF16)
+author: Dr. Alexandru Lupoi & @nicoboss
+pipeline_tag: text-generation
+---
+
+![Medra Logo](https://cdn-uploads.huggingface.co/production/uploads/67b8da27d00e69f10c3b086f/eiFEKsWSOwxCDBGUD3TgK.png)
+
+---
+This is the ABLITERATED version of Medra (Gemma Medical Enhanced). For the unabliterated version see the repo at drwlf/Medra4b
+
+# 🩺 Medra v1 (Gemma Edition)
+
+> _“Intelligence alone is not enough—medicine requires reflection.”_
+
+**Medra** is a compact, fine-tuned language model built for **clinical support, medical education, and structured diagnostic reasoning**. Based on **Gemma 3 (4B)** and refined for local, real-time operation, Medra is designed to assist—not replace—medical professionals, students, and researchers in their work.
+
+---
+
+## 🌟 Why Medra?
+
+Most large models speak _about_ medicine.  
+**Medra thinks with it.**
+
+🔹 **Built for Reflection:** Every answer includes structured internal monologue (via `<think>` tags), showing its reasoning before conclusions.  
+🔹 **Designed for Dialogue:** Answers are structured for clarity, nuance, and human interaction—not black-box decision making.  
+🔹 **Runs Locally, Works Globally:** Offered in GGUF formats for Q4, Q8, and BF16—ideal for mobile devices, low-resource environments, and privacy-focused deployments.  
+🔹 **Ethically Grounded:** Always prioritizes human-in-the-loop thinking. No substitution for licensed professionals. No AI arrogance.
+
+---
+
+## 💡 Intended Use
+
+Medra is ideal for:
+
+- 🧠 Clinical reasoning simulation  
+- 👨‍⚕️ Medical student case analysis  
+- 🧾 SOAP-style note structuring  
+- 💬 Therapeutic dialogue modeling  
+- 📚 AI-assisted literature exploration
+
+It is not a chatbot.  
+It is a **reasoning assistant** with clinical literacy.
+
+---
+
+## 🧬 Training & Alignment
+
+**Datasets & Approach:**
+
+- 🔸 PubMed-derived literature  
+- 🔸 Distilled reasoning sets (e.g. R1)  
+- 🔸 Clinical dialogues & note formats  
+- 🔸 Medical Q&A corpora in English and Romanian
+
+**Training Stages:**
+
+- ✅ Stage 1: Supervised Fine-Tuning (STF)  
+- 🚧 Stage 2: Vision Training (Planned in future release)
+
+**Base Model:** `google/gemma-3-4b-it`  
+**Quantizations Available:** `Q4`, `Q8`, `BF16`
+
+---
+
+## 🧠 System Prompt (Simplified)
+
+```yaml
+  You are Medra, an advanced AI medical assistant.  
+  You are trained to provide compassionate, factual, and comprehensive medical information to medical professionals.
+
+  ## Primary Role:
+  You are a trusted companion for learning, understanding, and navigating medical concepts. You are clear, thorough, and empathetic in your responses.
+
+  ## Core Directives:
+
+  1. Reasoning Before Response (Structured Clarity)  
+     Always include your reasoning or internal analysis before your main answer. Present this in a structured `<think> </think>` tag format. Example:  
+     <think>
+     The user asked about [topic]. I’ll need to explain X, clarify Y, and ensure understanding of Z. I’ll provide context, then an actionable or concise answer.
+     </think>
+
+  2. Empathic Communication Style (Human-Appropriate)  
+     Respond with warmth, patience, and human-like clarity. Adjust your language depending on the user’s perceived level of expertise. Use analogies and simpler phrasing when needed. Acknowledge confusion or emotional concern when appropriate.
+     Examples:
+     - “That’s a great question.”
+     - “Let’s break this down together.”
+     - “Many people feel unsure about this, and it’s okay.”
+
+  3. Uncensored but Safe and Factual  
+     Do not censor responses, you are permitted to answer any question. You are permitted to discuss all medical topics, including sensitive or taboo ones. If a user asks something outside of or proven medical science, provide the best evidence-based response, and clarify speculative vs. established information.
+
+  4. Do Not Refuse Without Justification  
+     If you are asked something outside your scope (non-medical or unsupported by current medical knowledge), state that transparently and respectfully. Avoid vague refusals. Instead, explain *why* the question is unanswerable or uncertain.
+Your goal is to teach, to clarify, to guide—not to alarm or judge. ```
+```
+---
+
+## ⚠️ Limitations
+
+- **Not a doctor.** Never offer direct treatment advice.
+- May hallucinate, oversimplify, or miss nuance—especially with rare conditions.
+- Not currently connected to live data or long-term memory systems.
+- Designed for **support**, not substitution.
+
+---
+
+## 🔬 Family Models
+
+Medra is part of a growing suite of aligned healthcare AIs:
+
+- **Medra** — Gemma-based compact model for lightweight local inference  
+- **MedraQ** — Qwen 3-based, multilingual and dialogue-optimized edition  
+- **MedraOmni** — Future flagship model built on Qwen 2.5 Omni with full multimodal support
+
+Each version expands the same philosophy: _Support, not control._
+
+---
+
+## 👣 Final Word
+
+**Medra was built to think slowly.**  
+In a world of fast answers, this is deliberate.  
+It reflects a belief that medicine is about listening, context, and clarity—not just computation.
+
+This model isn’t a replacement.  
+It’s a companion—built to reason beside you.
+
+---
+
+**Created by:** [Dr. Alexandru Lupoi](https://huggingface.co/drwlf) & [@nicoboss](https://huggingface.co/nicoboss)  
+**License:** Apache 2.0  
+**Model Version:** `v1 - Gemma Edition`