Install Ollama and download the starter model
Install Ollama using the native download, launch the app, and leave it running. In a new PowerShell window, pull the exact local model below.
Install Ollama Starter modelollama pull qwen3.5:4bRun a persistent, password-protected chat workspace on your own computer. Connect Open WebUI to local Ollama, start with Qwen3.5 4B, and confirm your conversation survives a restart.
Memory for one person using Open WebUI plus the selected Qwen3.5 4B starter. The interface and the model are separate processes.
| Machine | Open WebUI + Qwen3.5 4B |
|---|---|
| Windows PC · 16 GB RAM | Runs locally; a supported 8 GB GPU improves model responsiveness |
| Linux PC · 16 GB RAM | Runs locally; NVIDIA / supported AMD / Intel via Ollama |
| Apple Silicon · 16 GB unified memory | Suitable starting point; Ollama can use Metal |
| CPU only · 16 GB RAM | Works for local chat; replies take longer without GPU acceleration |
These are estimates for the bundled starter model, not a capacity guarantee for other models or multiple simultaneous users.
Run a persistent, password-protected chat workspace on your own computer. Connect Open WebUI to local Ollama, start with Qwen3.5 4B, and confirm your conversation survives a restart.
Install the software for your operating system, then follow the steps to start your local server.
Follow the software’s documented system requirements.
Choose where you want to run it. The instructions below update to match your selection.
Local browser server with accounts and persistent storage. Keep both Ollama and Open WebUI running during use.
Install Ollama using the native download, launch the app, and leave it running. In a new PowerShell window, pull the exact local model below.
Install Ollama Starter modelollama pull qwen3.5:4bInstall uv from its official instructions, then open a new PowerShell window. The commands below create an isolated Python 3.11 environment; there is no need to change your system Python.
uv installationpowershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"Run this in PowerShell and leave it open. It installs the selected Open WebUI release and Python 3.11. The explicit DATA_DIR keeps history outside the temporary package cache. Open http://127.0.0.1:8080 after the server reports it is ready.
Official Open WebUI quick start$env:DATA_DIR="$env:USERPROFILE\yourunai-webui-data"
$env:OLLAMA_BASE_URL='http://127.0.0.1:11434'
uvx --python 3.11 open-webui@0.11.4 serve --host 127.0.0.1 --port 8080Open the local address, create your first account, and sign in. This first account manages this local Open WebUI installation; it is separate from your YouRunAI login. Keep authentication enabled. The guide binds to 127.0.0.1, so it is accessible only on this computer.
Open Admin Panel → Settings → Connections. Confirm the Ollama connection is enabled and its URL is http://127.0.0.1:11434. Save and refresh the model list. Start a new chat and select qwen3.5:4b. Cloud/API providers are not needed for this setup.
Ollama connection setupIn the chat controls, expand advanced parameters and set the Ollama context size (num_ctx) to 4096. Send the prompt “Remember my project is Cedar. Give me three names for a private notes app.” Then ask “What is my project called?” Check that the answer remembers Cedar. Leave the conversation open.
Ollama context and memoryGive the chat a recognizable title such as Cedar test. Press Ctrl+C in the Open WebUI server window to stop it. Run the same launch command again, reopen http://127.0.0.1:8080, sign in, and confirm Cedar test is still in the sidebar with both messages. DATA_DIR must remain the same.
$env:DATA_DIR="$env:USERPROFILE\yourunai-webui-data"
$env:OLLAMA_BASE_URL='http://127.0.0.1:11434'
uvx --python 3.11 open-webui@0.11.4 serve --host 127.0.0.1 --port 8080Stop Open WebUI, then copy the entire yourunai-webui-data folder to your backup location. Keep the original folder for normal restarts. Update deliberately using the official instructions and keep one server process during database migration. This example does not expose the server to the internet or configure a shared LAN service.
Updating Open WebUIYou can sign in locally, chat with qwen3.5:4b, and reopen the same saved conversation after stopping and restarting the web server.
http://127.0.0.1:8080Opens on your machineKeep Ollama running, check ollama list, and confirm its connection URL in Open WebUI is http://127.0.0.1:11434. Pull qwen3.5:4b if it is missing, then refresh the model list.
Stop the other local process or change --port 8080 to --port 8081 in the launch command and open the new port. Do not start two Open WebUI processes against the same data directory.
Stop the server and relaunch with the same DATA_DIR value from this guide. A different directory creates a different local installation; your original folder still contains the previous history.
Use uvx --python 3.11 as shown. Do not install this release with Python 3.13; its supported Python range is 3.11–3.12.
Official software, installation instructions, and support resources behind this setup.
Source-backed package and platform-route plan for private local chat with Qwen3.5 · 9B. Preserves the official Ollama 9B package, a smaller 4B family fallback, and a clearly labeled community uncensored GGUF option.
Run Qwen3.8 27B with Ollama, connect it to Cline in VS Code, and make one reviewable code change in a tiny local project.
Generate images from text prompts in ComfyUI with the fast distilled or more adjustable base 4B model. Save your results and reuse the visual workflow.