How one developer finally got a local LLM running with Home Assistant in an hour

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A developer who had been struggling for over a year to run a local AI model succeeded in just one hour after receiving advice from the DEV Community. Using llama.cpp and the Qwen 3.8 27B model on an RTX 4090 and RTX 4070 Ti GPU pair, they built a working local AI agent connected to Home Assistant. The setup allowed the model to modify smart home dashboards autonomously using prompts and screenshots, with built-in vision support requiring no extra configuration. Community discussion also highlighted recurring issues with OpenWebUI, including excessive CPU usage bugs fixable via Docker environment variables, and noted that llama.cpp ships its own built-in web UI as an alternative. Several users shared similar local AI stacks combining llama.cpp, SearXNG, and MCP servers as a self-hosted equivalent to commercial models like Claude.

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