Local LLM Deployment Guide: Running open-source models with Ollama
Ollama makes running open-source LLMs locally incredibly simple. No GPU needed for small models.
Quick Start
brew install ollama # macOS
curl -fsSL https://ollama.com/install.sh | sh # Linux
ollama run llama3.2:3b # Run model
Recommended Models
| Model | Params | Min RAM | Best For |
|---|---|---|---|
| Llama 3.2 3B | 3B | 4GB | CPU-friendly, simple Q&A |
| Mistral 7B | 7B | 8GB | General conversation |
| Qwen 2.5 7B | 7B | 8GB | Chinese language tasks |
| Llama 3.2 11B | 11B | 16GB | Complex reasoning |
16IDC Takeaway
Ollama makes local LLM deployment easier than ever. For privacy-conscious websites and SaaS products, self-hosted LLMs are worth considering — data stays on your server, no API fees, fully controllable.