README.md

---
license: apache-2.0
language:
- en
- zh
tags:
- ollama
- gguf
- facebook
- meta
- pytorch
- llama
- llama-3
library_name: transformers
---
### LucasInsight/Meta-Llama-3.1-8B-Instruct Model Card

**Model Overview**

The LucasInsight/Meta-Llama-3.1-8B-Instruct model is an enhanced version of the Meta-Llama3 project, incorporating the alpaca-gpt4-data-zh Chinese dataset. The model has been fine-tuned using Unsloth with 4-bit QLoRA and generates GGUF model files compatible with the Ollama inference engine.

👋Join our [WeChat](./wechat.jpg)

**模型概述**

LucasInsight/Meta-Llama-3.1-8B-Instruct 模型是在 Meta-Llama3 工程的基础上，增加了 alpaca-gpt4-data-zh 中文数据集。该模型通过使用 Unsloth 的 4-bit QLoRA 进行微调，生成的 GGUF 模型文件支持 Ollama 推理引擎。

👋加入我们的[微信群](./wechat.jpg)

**License Information**

This project is governed by the licenses of the integrated components:

1. **Meta-Llama3 Project**  
   - Project URL: [https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)  
   - License: Llama 3 Community License Agreement  

   **Citation:**  
   ```  
   @article{llama3modelcard,
       title={Llama 3 Model Card},
       author={AI@Meta},
       year={2024},
       url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
   }
   ```

2. **Unsloth Project**  
   - License: Apache-2.0 License  
   - Project URL: [https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit)

3. **Chinese Dataset Integration**  
   - Dataset: alpaca-gpt4-data-zh  
   - License: CC BY NC 4.0 (for non-commercial research use only)  
   - Dataset URL: [https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh](https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh)

   **Usage and License Notices:**  
   The data is intended and licensed for research use only. The dataset is CC BY NC 4.0, allowing only non-commercial use. Models trained using this dataset should not be used outside of research purposes.

   **Citation:**  
   ```
   @article{peng2023gpt4llm,
       title={Instruction Tuning with GPT-4},
       author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao},
       journal={arXiv preprint arXiv:2304.03277},
       year={2023}
   }
   ```

**许可证信息**

本项目的许可证由各集成工程的许可证构成：

1. **Meta-Llama3 项目**  
   - 项目地址：[https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)  
   - 许可证：Llama 3 Community License Agreement  

   **引用说明：**  
   ```  
   @article{llama3modelcard,
       title={Llama 3 Model Card},
       author={AI@Meta},
       year={2024},
       url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
   }
   ```

2. **Unsloth 项目**  
   - 许可证：Apache-2.0 许可证  
   - 项目地址：[https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit)

3. **中文数据集集成**  
   - 数据集：alpaca-gpt4-data-zh  
   - 许可证：CC BY NC 4.0（仅用于非商业的研究用途）  
   - 数据集地址：[https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh](https://huggingface.co/datasets/llm-wizard/alpaca-gpt4-data-zh)

   **使用和许可证通知：**  
   该数据仅限于研究使用，且基于 CC BY NC 4.0 许可证，只允许非商业用途。使用此数据集训练的模型不得用于研究用途以外的场合。

   **引用说明：**  
   ```  
   @article{peng2023gpt4llm,
       title={Instruction Tuning with GPT-4},
       author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao},
       journal={arXiv preprint arXiv:2304.03277},
       year={2023}
   }
   ```
![WeChat](./wechat.jpg)