This works. we gave it a whopping amount of RAM (32GB). You might be able to get it to run with less RAM.

qwen3:4b was too slow and hit the proxy timeout.

In the Ollama terminal you can set some environment variables to help too:

export OLLAMA_KEEP_ALIVE=24h
export OLLAMA_FLASH_ATTENTION=false

OLLAMA_KEEP_ALIVE
24h
Keeps the model loaded in RAM (prevents reloading every request)
OLLAMA_FLASH_ATTENTION
false
More stable on older CPUs

After you have Ollama running on cloudron and have its api key, you can go into the Ollama terminal and:

ollama pull gemma3:1b

Then, using your own URL and your own API token, you can run this from your local machine to get gemma to tell you a joke and see if it is working:

curl -X POST "https://YOUR_REAL_OLLAMA_URL/api/chat" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "model": "gemma3:1b",
    "messages": [{"role": "user", "content": "Hello! Tell me a short joke."}],
    "stream": false,
    "options": {
      "num_ctx": 1024,
      "num_thread": 6
    }
  }' | jq

You will hopefully see a joke in the output and maybe some smilies laughing!