Ollama

Quick Take

Ollama has become the standard way to run AI models locally. It takes what used to require technical expertise, downloading model weights, configuring dependencies, setting up inference servers, and reduces it to a single command. It’s the starting point for anyone serious about local AI.

What Ollama Is Best For

• Running models privately: your prompts and responses never leave your machine
• Offline AI: works without an internet connection
• Developer prototyping: test models locally before building applications around them
• Cost-free inference: no API fees after setup; run as many requests as you want
• Comparing models: easily switch between Llama, Mistral, Gemma, and others

Getting Started

# Install Ollama (Mac/Linux)
curl -fsSL https://ollama.com/install.sh | sh

# Pull and run a model
ollama run llama3.2

Once running, you can interact with the model in your terminal or connect other apps to it via Ollama’s local API.

Working With Ollama

Use as an API. Ollama runs a local API server (compatible with the OpenAI API format), so you can connect other tools, Open WebUI, LM Studio, or your own apps, to it.

Choose the right model size. Larger models produce better results but require more RAM and run slower. Start with llama3.2:3b for speed or llama3.1:8b for quality on most consumer hardware.

Use with a GUI. Ollama is terminal-based, but tools like Open WebUI or Jan provide a ChatGPT-style interface on top of it.

Practical Use Cases

• Private document analysis: run a local model on sensitive business documents
• Offline writing help: use AI for writing assistance when traveling or in areas with poor connectivity
• Development and testing: build AI features locally before integrating cloud models
• Learning: experiment with AI and understand how models behave without incurring costs

Honest Limitations

• Hardware-dependent quality: local models are generally less capable than GPT-5 or Claude Sonnet; quality depends heavily on available RAM and GPU
• Terminal-based by default: requires comfort with the command line (though GUIs like Open WebUI solve this)
• Setup time: initial model downloads can be large (3–15GB depending on model)
• Not for everyone: most users are better served by cloud AI tools; local AI suits specific privacy, cost, or offline needs

Alternatives Worth Knowing

• LM Studio, GUI-based; easier for non-developers
• Jan, similar to LM Studio; fully offline and private
• Open WebUI, web interface for Ollama and other local models