Ollama is a powerful open-source tool that enables you to run large language models (LLMs) locally on your Linux machine. Unlike cloud-based AI services, Ollama gives you complete control over your AI interactions, ensuring privacy and eliminating API costs. Whether you’re a developer building AI applications, a researcher experimenting with different models, or simply curious about local AI, Ollama provides an accessible entry point into the world of self-hosted language models.
📑 Table of Contents
Key Features
- Local Execution – Run LLMs entirely on your hardware without internet dependency
- Model Library – Access popular models like Llama 2, Mistral, CodeLlama, and Vicuna
- Simple CLI – Intuitive command-line interface for model management
- REST API – Built-in API server for application integration
- GPU Acceleration – Supports NVIDIA CUDA and AMD ROCm for faster inference
- Model Customization – Create custom models with Modelfiles
- Lightweight – Minimal resource overhead compared to alternatives
System Requirements
Ollama runs on most modern Linux systems. For optimal performance, consider the following specifications:
- CPU – Modern multi-core processor (AMD64 or ARM64)
- RAM – Minimum 8GB, recommended 16GB+ for larger models
- Storage – 10GB+ free space for models
- GPU – Optional but recommended: NVIDIA GPU with CUDA support or AMD GPU with ROCm
Installation on Linux
Installing Ollama on Linux is straightforward with the official installation script:
curl -fsSL https://ollama.com/install.sh | sh
For manual installation or package manager options:
# Download the binary directly
curl -L https://ollama.com/download/ollama-linux-amd64 -o ollama
chmod +x ollama
sudo mv ollama /usr/local/bin/
# Start the Ollama service
ollama serve
Basic Usage
Once installed, you can start using Ollama immediately:
# Pull and run a model
ollama run llama2
# List available models
ollama list
# Pull a specific model
ollama pull mistral
# Remove a model
ollama rm llama2
# Show model information
ollama show llama2
Popular Models
Ollama supports a wide range of open-source models:
- Llama 2 – Meta’s powerful open-source LLM (7B, 13B, 70B parameters)
- Mistral – Efficient 7B model with excellent performance
- CodeLlama – Specialized for code generation and understanding
- Vicuna – Fine-tuned for conversations
- Orca Mini – Smaller model optimized for limited hardware
- Neural Chat – Intel’s optimized conversational model
API Integration
Ollama provides a REST API compatible with OpenAI’s format, making it easy to integrate with existing applications:
# Generate a completion
curl http://localhost:11434/api/generate -d '{
"model": "llama2",
"prompt": "Explain Linux file permissions"
}'
# Chat completion
curl http://localhost:11434/api/chat -d '{
"model": "llama2",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'
Use Cases
- Private AI Assistant – Chat with AI without sending data to external servers
- Code Generation – Use CodeLlama for programming assistance
- Document Analysis – Process sensitive documents locally
- Application Development – Build AI-powered applications with the REST API
- Learning & Research – Experiment with different LLM architectures
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