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.
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