metadata

license: mit
language:
  - en
pipeline_tag: conversational
tags:
  - llama2
  - conversational
library_name: transformers

🦙 Llama-2-GGML-CSV-Chatbot

Overview

The Llama-2-GGML-CSV-Chatbot is a conversational tool powered by a fine-tuned large language model (LLM) known as Llama-2 7B. This chatbot utilizes CSV retrieval capabilities, enabling users to engage in multi-turn interactions based on uploaded CSV data.

🚀 Features

CSV Data Interaction: Allows users to engage in conversations based on uploaded CSV data.
Multi-turn Interaction: Supports seamless multi-turn interactions for a better conversational experience.

Development Specs

Utilizes Llama-2 7B and Sentence Transformers for robust functionality.
Developed using Langchain and Streamlit technologies for enhanced performance.
Cross-platform compatibility with Linux, macOS, or Windows OS.

🛠️ Installation

Clone the Repository:

git clone https://github.com/ThisIs-Developer/Llama-2-GGML-CSV-Chatbot.git

Install Dependencies:
```
pip install -r requirements.txt
```

Download the Llama 2 Model:

Download the Llama 2 model file named llama-2-7b-chat.ggmlv3.q4_0.bin from the following link:

Download Llama 2 Model

Llama 2 Model Information

Name	Quant method	Bits	Size	Max RAM required
llama-2-7b-chat.ggmlv3.q4_0.bin	q4_0	4	3.79 GB	6.29 GB

Note: After downloading the model, add the model file to the models directory. The file should be located at models\llama-2-7b-chat.ggmlv3.q4_0.bin, in order to run the code.

📝 Usage

Run the Application:
```
streamlit run app.py
```
Access the Application: - Once the application is running, access it through the provided URL.

System Requirements

CPU: Intel® Core™ i5 or equivalent.
RAM: 8 GB.
Disk Space: 7 GB.
Hardware: Operates on CPU; no GPU required.

🤖 How to Use

Upon running the application, you'll be presented with a sidebar providing information about the chatbot and an option to upload a CSV file.
Upload a CSV file containing the data you want the chatbot to interact with.
Enter your query or prompt in the input field provided.
The chatbot will process your query and generate a response based on the uploaded CSV data and the Llama-2-7B-Chat-GGML model.

📌 Important Notes

While robust, this chatbot is not a substitute for professional advice.
Ensure the CSV file adheres to the expected format for optimal performance.

🤝 Contributing

Contributions and suggestions are welcome! Feel free to fork the repository, make changes, and submit pull requests for improvements or bug fixes.

📄 License

This project is licensed under the MIT License.

ThisIs-Developer
/

Llama-2-GGML-CSV-Chatbot