How To Use Claude Code With Ollama (Free Local AI Setup)
🚀 Want to run Claude Code completely FREE using local AI models? In this step-by-step tutorial, you'll learn how to connect Claude Code to Ollama and run powerful open source coding models directly on your own machine — no Anthropic API key, no subscription, and no per-token billing.
Thanks to Ollama's native Anthropic API compatibility (v0.14+), you no longer need messy proxies or adapters like the old setups. With just a couple of environment variables or the new ollama launch claude command , you can point Claude Code at a local model, keep your entire codebase private, and even code completely offline.
By the end of this video you'll have a fully working local AI coding agent that reads your files, edits your code, and runs commands — all powered by free, open-source models like GLM 4.7 Flash, Qwen Coder, Qwen 3.6, Gemma 4 and More.
🧠 BEST LOCAL MODELS FOR CODING IN 2026
We break down GEMMA 4 (the best all-rounder — 128K context and runs on 16GB RAM), Qwen 3.6 plus exactly how to choose one based on your own hardware. Smaller models run on CPU; a GPU or Apple Silicon makes everything dramatically faster.
Whether you're a complete beginner installing your first local LLM or an experienced developer building a private, self-hosted coding agent, this guide takes you from zero to a working setup.
▶️ WHAT YOU'LL LEARN
✅ How to install Ollama on Windows, macOS, and Linux
✅ Which local models are best for coding
✅ How much RAM / VRAM you actually need
✅ How to connect Claude Code to Ollama (the new native method)
✅ How to install and configure Claude Code
⏱️ TIMESTAMPS
00:00 - Intro: Claude Code for free with Ollama
00:40 Installing Ollama
01:10 Choosing Your Model
02:10 Downloading the Model and Testing It
03:29 The Context Length Fix You Can't Skip
03:59 Connecting Claude Code to Ollama
04:48 Building a To-Do App
05:38 Adding Dark Mode — And Hitting a Real Limit
06:34 Upgrading to Gemma 4 12B
🔗 USEFUL RESOURCES
Ollama Claude Integration: https://docs.ollama.com/integrations/...
Ollama models: https://ollama.com
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