Ollama

Overview

Ollama is an open-source tool for AI experimentation and development.

System Requirements

• CPU: 4+ cores
• RAM: 8GB+
• GPU: Optional, NVIDIA GPU with 8GB+ VRAM recommended
• Storage: 10GB+

Installation Guide

Prerequisites

• Basic knowledge of command line interfaces
• Git installed on your system
• Docker and Docker Compose (recommended for easy setup)
• NVIDIA GPU with appropriate drivers installed (recommended)

Option 1: Docker Installation (Recommended)

1. Clone the repository:

   git clone https://github.com/ollama/ollama.git
   

2. Navigate to the project directory:

   cd ollama
   

3. Start the Docker containers:

   docker-compose up -d
   

4. Access the application:

   Open your browser and navigate to http://localhost:8000 (port may vary based on the project)

Option 2: Manual Installation

1. Clone the repository:

   git clone https://github.com/ollama/ollama.git
   

2. Navigate to the project directory:

   cd ollama
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   python app.py
   

5. Access the application:

   Open your browser and navigate to http://localhost:8000 (port may vary based on the project)

Note: For detailed installation instructions specific to your operating system and environment, please refer to the official documentation on the project’s GitHub repository.

Practical Exercise: Getting Started with Ollama

Now that you have Ollama installed, let’s walk through a simple exercise to help you get familiar with the basics.

Step 1: Basic Configuration

After installation, you’ll need to configure some basic settings to get started.

# Example configuration steps cd ollamacp config.example.yml config.yml # Edit the config.yml file with your preferred settings

Step 2: Your First Project

Let’s create a simple project to test that everything is working correctly.

Example Task:

Create a simple chat interface that uses the language model to respond to user queries.

Step 3: Exploring Advanced Features

Once you’re comfortable with the basics, try exploring some of the more advanced features:

• Customize the model parameters to improve performance
• Integrate with other tools or services
• Optimize for your specific hardware configuration
• Explore the API documentation to build custom applications

Resources

Official Documentation

The official documentation is the best place to find detailed information about Ollama.

Read the Documentation

Community Support

Join the community to get help, share your experiences, and contribute to the project.

GitHub Issues

Tutorials and Guides

Explore tutorials and guides created by the community to learn more about Ollama.

Find Tutorials on GitHub