ok sharing how to actually use qwen 3.5 models, first what you need is, > decent laptop/desktop (M1/M2/M3 Mac or windows/linux with 8GB+ RAM) > python installed > that's it step 1: install ollama (easiest way to run local models) mac: curl -fsSL https://ollama. com/install.sh | sh windows: download from ollama. com/download this is the simplest way to run models locally. no complicated setup. step 2: download qwen models open terminal and run: ollama pull qwen2.5:0.5b ollama pull qwen2.5:3b ollama pull qwen2.5:7b note: they're using qwen2.5 naming in ollama. same models, different numbering. each download takes 2-10 minutes depending on size and internet speed. step 3: test if it works ollama run qwen2.5:3b you'll get a chat interface. ask it something simple: "what is bitcoin?" if it responds, you're good to go. ctrl+d to exit. which model for what: qwen2.5:0.5b - super fast, basic checks • "is btc above $60k?" • "did this transaction happen?" • use for: alerts, simple yes/no questions qwen2.5:3b - balanced, most versatile • wallet monitoring • price analysis • market summaries • use for: 80% of your monitoring tasks qwen2.5:7b - deeper analysis • token comparisons • trend analysis • research summaries • use for: when you need actual thinking alternative: using with clawdbot if you're using clawdbot/openclaw framework: clawdbot config --model ollama/qwen2.5:3b then your agent uses local qwen instead of cloud APIs.