Running Local AI Model in Claude Code using Ollama (Windows)

Ever wanted to use the advanced agentic capabilities of 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 with the privacy and flexibility of 𝗹𝗼𝗰𝗮𝗹 𝗟𝗟𝗠𝘀? In this tutorial, I'm going to teach you how to connect 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 to 𝗢𝗹𝗹𝗮𝗺𝗮 in order to use a local LLM. Running AI models locally allows you to keep your data secure while leveraging Claude's powerful CLI interface for terminal-based development. Whether you're debugging, refactoring, or building from scratch, this setup is a game-changer for 𝗼𝗳𝗳𝗹𝗶𝗻𝗲-𝗳𝗶𝗿𝘀𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀. However, the speed at which local LLMs perform is highly dependent on your computer's hardware specifications. Also, using a non-Claude model in 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 might not give you the response that you expect as compared to using Claude models. In short, manage your expectations. If you value saving money from AI subscriptions over productivity and quality of AI output, then local AI workflow is for you. 🛠️ 𝗞𝗘𝗬 𝗖𝗢𝗠𝗠𝗔𝗡𝗗𝗦: • 𝗟𝗮𝘂𝗻𝗰𝗵 𝗖𝗼𝗺𝗺𝗮𝗻𝗱: ollama launch claude --model qwen3.5:4b (or your preferred local model) 🚀 𝗦𝗨𝗣𝗣𝗢𝗥𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟: If this guide helped you level up your local AI setup, make sure to: ✅ 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 for more deep dives into Open Source AI and Dev Tools. 👍 𝗟𝗶𝗸𝗲 this video to help other developers find this workflow. 💬 𝗖𝗼𝗺𝗺𝗲𝗻𝘁 𝗕𝗲𝗹𝗼𝘄: Which local model are you running with Claude Code? #Ollama #ClaudeAI #LocalLLM #ClaudeCode #OpenSourceAI #Qwen #AIForDevelopers #SnapdragonXPlus #AIPrivacy #AIAutomation