Finetune-Llama2-and-Mistral7B-using-Langchain

This repository provides a detailed Jupyter Notebook demonstrating how to use and fine-tune large language models (LLMs) like Llama2 and Mistral7B via LangChain. The notebook is designed to guide users through the process of integrating these models with advanced LangChain features.

Learning Objectives

By the end of this experiment, you will be able to:

• Utilize open-source LLMs such as zephyr-7b-beta, Mistral-7B-Instruct-v0.2, and Llama2 through the Hugging Face Hub with LangChain.
• Understand and implement the concepts of Prompt Templates, Memory, and Output Parsers in LangChain.

Files

• Finetune-Llama2-and-Mistral7B-using-Langchain.ipynb: A comprehensive Jupyter Notebook that includes all the code and detailed instructions.

How to Use

Requirements

Ensure you have the following installed:

• Python 3.8 or later
• Jupyter Notebook or JupyterLab
• transformers
• langchain

You can install the necessary Python packages using pip:

pip install jupyterlab transformers langchain

Setup Instructions

1. Clone the Repository:

git clone https://github.com/Praveen76/Finetune-Llama2-and-Mistral7B-using-Langchain.git
cd Finetune-Llama2-and-Mistral7B-using-Langchain

2. Launch the Jupyter Notebook:

   • Open your command line or terminal and run:

   jupyter notebook

   • Navigate to the Finetune-Llama2-and-Mistral7B-using-Langchain.ipynb file and open it.

3. Follow the Notebook Instructions:

   • The notebook is structured to guide you step-by-step through setting up the environment, loading the models, and applying LangChain techniques.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue if you have suggestions or improvements.

---

License

This project is licensed under the MIT License.

Issues:

If you encounter any issues or have suggestions for improvement, please open an issue in the Issues section of this repository.

---

Contact:

The code has been tested on Windows system. It should work well on other distributions but has not yet been tested. In case of any issue with installation or otherwise, please contact me on Linkedin

Happy coding!!

---

About Me:

I’m a seasoned Data Scientist and founder of TowardsMachineLearning.Org. I've worked on various Machine Learning, NLP, and cutting-edge deep learning frameworks to solve numerous business problems.