Reconfigure OpenClaw on Mac Mini to Deploy a Local LLM Model

All we need to do now is reconfigure OpenClaw. Reconfigure OpenClaw to use the local model We now need to add this local model to our OpenClaw config so it's useable by our gateway. 1️⃣ Add to the "models" block in .openclaw/openclaw.json { "models": { "providers": { "local": { "baseUrl": "http://127.0.0.1:8080/v1", "apiKey": "sk-local", "api": "openai-completions", "models": [ { "id": "qwen3-9b", "name": "Qwen3.5 9B Local", "contextWindow": 64000, "maxTokens": 8192 } ] } /* REMOVE THIS COMMENT */ /* you may add additional providers, like anthropic here */ } } } Note: the settings for contextWindow andmaxTokens may need to be adjusted for your specific workflows You'll also need to set the default model for your agents "agents": { "defaults": { "model": { "primary": "local/qwen3-9b" }, "models": { "local/qwen3-9b": {} } } It's also helpful to verify the config is accurate, run this command below to check the syntax openclaw config validate 2️⃣ Restart the gateway, ensuring that the local model is now available openclaw gateway restart 3️⃣ Test to see if OpenClaw has properly registered our local model openclaw models list --provider local We can also run a simple inference call openclaw infer model run \ --model local/qwen3-9b \ --prompt "Reply with exactly: pong" \ --json You should receive a JSON object in return.