Run a Local AI Coding Agent for Free: Ollama + qwen2.5 Setup Guide

Run a Local AI Coding Agent for Free: Ollama + qwen2.5 Setup Guide The cloud AI bill is real. If you're running code generation, refactoring, or doc generation at any scale, per-token costs add up fast. But here's the thing: a $600 desktop can run a 14B parameter model that handles 80% of your daily coding tasks — for free, forever. This is a hands-on guide from a real deployment. I'm running qwen2.5:14b on a local Ubuntu box and routing it through Ollama as a drop-in replacement for cloud API calls. Why Ollama + qwen2.5? Ollama turns running local LLMs into a two-command operation. It handles model downloads, GPU/CPU routing, and exposes an OpenAI-compatible REST API at localhost:11434 . qwen2.5 (from Alibaba's Qwen team) punches well above its weight class: Model Size Code quality RAM needed qwen2.5:7b 4.7 GB Strong 8 GB qwen2.5:14b 9.0 GB Excellent 16 GB qwen2.5:32b 20 GB Near-GPT4 32 GB For most coding tasks, 14b hits the sweet spot. It handles Python, Bash, JavaScript, Go, and Rus