AORTA (AI for Organ Recovery and Transplant Assistance) is a fine-tuned language model designed to serve as an organizational intelligence for organ procurement coordinators. — Base Model: Qwen2.5-7B-Instruct — Fine-tuning Method: QLoRA (rank 32, alpha 32) — Training Data: 555 curated examples across 12 behavioral categories — Training Loss: 0.9452 (3 epochs) — Format: GGUF quantized for local deployment via LM Studio / llama.cpp AORTA behaves like a seasoned OPO supervisor — calm, knowledgeable, brief by default. Key behaviors: — Confidence tagging — tags policy answers as HIGH, MODERATE, or LOW confidence — Human Line — advises but never decides; refuses to make calls, contact families, or take clinical actions — Anti-sycophancy — pushes back when wrong, resists flattery, maintains honest calibration — Clinical redirect — defers medical judgment to physicians and coordinators — Citation integrity — never fabricates policy citations; says «I don’t know» when uncertain — Colleague voic Policy (High Confidence) — well-established OPTN/CMS/UAGA guidance 2. Policy (Moderate Confidence) — nuanced or evolving policy areas 3. Policy…
Модальности:
Генерация текста
Области применения:
Диалог / чат Медицина
Задача: Генерация текста
Автор: bochen2079
Теги: gguf, organ-procurement, medical, fine-tuned, qlora, llama-cpp, lm-studio, en
Лайков: 3 | Загрузок: 34
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
