Zhongjing-Advance Care Planning Model
Model Description
This repository provides three LoRA fine-tuned models for ACP based on a large language model.
Base model: Zhongjing-LLaMA-base
Fine-tuning method: LoRA
Framework: Transformers + PEFT
Training framework: PyTorch
Available Models
| Model | Description |
|---|
| assistant_zhongjing | LoRA fine-tuned assistant model |
| vignette_zhongjing | LoRA fine-tuned vignette model |
| evaluator_zhongjing | LoRA fine-tuned evaluator model |
Model Files
Each model folder contains:
adapter_model.bin – LoRA adapter weightsadapter_config.json – LoRA configuration
Tokenizer files are shared at the repository root.
Usage
Install dependencies:
pip install transformers peft torch
