Xinghe1-9B (杏核) is a specialized large language model fine-tuned for the formalization, computational derivation, and clinical reasoning of Huangdi Neijing. It is based on the Qwen3.5-9B-Instruct architecture and trained using the V3 Double-Purity SFT dataset. This model is designed to systematize classical Traditional Chinese Medicine (TCM) theories into a formal mathematical framework using phase space physics and system dynamics. — Developed by: zsyjsld — Base Model: Qwen/Qwen3.5-9B-Instruct — Fine-tuning Method: QLoRA SFT (195 steps, 3 epochs) on a single RTX 3090 GPU. — Language(s): English & LaTeX (Internal reasoning formulas), English (Output explanations) — License: Apache 2.0 (for code/dataset) & Qwen License Agreement (for model weights) Xinghe1-9B is trained to strictly bind clinical concepts and perform dynamical derivations inside the tag, and output natural, clean clinical TCM analyses outside the tag. The internal derivation is based on the unified meta-framework: $x(t)$ (Yin-Yang Dynamics): Described by the formal function $F(x)$, representing self-organization and negative feedback. $G(x, mu)$ (Sheng Qi / Vital Force): The primary driver of life, composed of…
Модальности:
Генерация текста
Области применения:
Математика Диалог / чат Медицина
Задача: Генерация текста
Автор: zsyjsld
Теги: qwen3_5_text, text-generation-inference, qwen, tcm, medical, math, conversational, endpoints_compatible
Лайков: 3 | Загрузок: 13
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
