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Zhongjing-ACP
Cassiopeia2026/Zhongjing-ACP
Zhongjing-ACP is a machine learning model from Cassiopeia2026. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository provides three LoRA fine-tuned models for ACP based on a large language model.
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Public
Updated Jun 21, 2026
Repo size
1.3 GB
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At a glance
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Jun 21, 2026
- SHA
- 9481d9b4
Model card
From the Hugging Face model README
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
- Created
- Mar 9, 2026
- Updated
- Jun 21, 2026