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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.