---
title: llama3-instruct-8b-cn-doc2markmap-lora
canonical_url: "https://www.modelscope.cn/models/shareAI/llama3-instruct-8b-cn-doc2markmap-lora"
md_url: "https://www.modelscope.cn/models/shareAI/llama3-instruct-8b-cn-doc2markmap-lora.md"
repository: shareAI/llama3-instruct-8b-cn-doc2markmap-lora
chinese_name: "llama3-instruct-8b-cn 思维导图助手LoRA"
last_updated: 2024-06-26
pipeline_tag: text-generation
tasks:
  - text-generation
parameters: 83.9M
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 135
stars: 9
---

# llama3-instruct-8b-cn-doc2markmap-lora

> llama3-instruct-8b-cn-doc2markmap-lora - shareAI 在 ModelScope 开源的模型。该LoRA用于增强llama3-instruct-8b-cn的根据文档、网页生成思维导图能力。（markmap结构），适用于llama3中文版基座模型：https://modelscope.cn/models/baicai003/llama-3-8b-Instruct-chinese_v2

- **Repository**: shareAI/llama3-instruct-8b-cn-doc2markmap-lora
- **Tasks**: text-generation
- **Parameters**: 83.9M
- **Downloads**: 135
- **Stars**: 9
- **Last updated**: 2024-06-26

Source: https://www.modelscope.cn/models/shareAI/llama3-instruct-8b-cn-doc2markmap-lora

---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->


## Model Details
训练数据集：https://huggingface.co/datasets/shareAI/doc2markmap  
适用于基座模型：https://modelscope.cn/models/baicai003/llama-3-8b-Instruct-chinese_v2

## 运行
需要安装依赖
```
pip install -U peft transformers streamlit
```
下载后进入文件夹，执行以下命令即可启动运行界面：
```
cd llama3-instruct-8b-cn-doc2markmap-lora
streamlit run deploy.py /path/to/llama-3-8b-Instruct-chinese_v2 ./
```

## 模型提示词
简单参考：
```
把给定的参考文章转换成markdown排版的思维树。下面是参考文章：
```
可以按需自行追加规则，让其忽略或关注某些内容。