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https://github.com/chaitanyak77/llama-2-7b-model-fine-tuning
Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.
https://github.com/chaitanyak77/llama-2-7b-model-fine-tuning
llama2 llm meta text-generation
Last synced: 12 days ago
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Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.
- Host: GitHub
- URL: https://github.com/chaitanyak77/llama-2-7b-model-fine-tuning
- Owner: ChaitanyaK77
- Created: 2024-06-19T12:51:36.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-06-20T06:41:00.000Z (7 months ago)
- Last Synced: 2024-12-22T02:44:59.644Z (12 days ago)
- Topics: llama2, llm, meta, text-generation
- Language: Python
- Homepage:
- Size: 107 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Llama-2-7B-GGML-Powered Blog Generator
Using the advanced Llama 2 7B Chat model by Meta, this project offers a seamless experience for generating high-quality blogs with just a few clicks.
## Features
- **AI-Powered Blog Generation**: Utilize the Llama 2 7B Chat model to generate compelling blog content.
- **Customizable Writing Styles**: Choose from various writing styles including Fun, General, and Professional.
- **Word Count Specification**: Define the number of words for each blog post.
- **User-Friendly Interface**: Interact easily through a Streamlit-based web interface.
## Prerequisites
Before you begin, ensure you have met the following requirements:
- Python 3.8 or higher
- Streamlit
- langchain
- langchain_community
- ctransformers
## Installation
To set up the project locally, follow these steps:
1. **Create a Virtual Environment**:
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
2. **Install Dependencies**:
```bash
pip install -r requirements.txt
```
3. **Download the Llama 2 7B Chat Model**:
Ensure the model file `llama-2-7b-chat.ggmlv3.q8_0.bin` is downloaded and placed in the appropriate directory.
## Usage
To start the application:
1. **Run the Streamlit App**:
```bash
streamlit run app.py
```
2. **Access the Web Interface**
3. **Generate Blog Content**:
- Enter the topic name.
- Specify the number of words.
- Select the writing style (Fun, General, Professional).
- Click on "Generate" to produce the blog post.
## Contributing
We welcome contributions! If you would like to contribute, please fork the repository and create a pull request. For significant changes, consider opening an issue to discuss your ideas.
## Acknowledgements
- Meta for the Llama 2 model.
- The developers of `streamlit`, `langchain`, `langchain_community`, and `ctransformers`.