Most large models speak about medicine. Medra thinks with it. 🔹 Built for Reflection: Every answer includes structured internal monologue (via 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. — 🔸 PubMed-derived literature — 🔸 Distilled reasoning sets (e.g. R1) — 🔸 Clinical dialogues & note formats — 🔸 Medical Q&A corpora in English and Romanian — ✅ 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 — 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. Medra was built to…
Модальности:
Генерация текста
Области применения:
Диалог / чат Суммаризация
Задача: Генерация текста
Автор: drwlf
Теги: gemma3, medical-ai, summarization, diagnostic-reasoning, gemma-3, fine-tuned, conversational, en
Лайков: 4 | Загрузок: 18
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
