LucasInsight/Meta-Llama-3-8B-Instruct

LucasInsight/Meta-Llama-3-8B-Instruct Model Card

Model Overview

The LucasInsight/Meta-Llama-3-8B-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

模型概述

LucasInsight/Meta-Llama-3-8B-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

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-3-8B-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

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

   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-3-8B-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

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

   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}
   }