Install Ollama
Ollama is the local runtime used here. Download and install the Ollama application for Windows, macOS, or Linux from the official Ollama website, then make sure the ollama command is available in your terminal or command prompt.
Run the Qwen3.5 4B model privately on your own machine with Ollama, start a local chat, send a first prompt, and confirm the model responds.
Run the Qwen3.5 4B model privately on your own machine with Ollama, start a local chat, send a first prompt, and confirm the model responds.
This setup uses the package documented for this task. Review its source and supported platforms before starting.
Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.
For the publisher's 3.4 GB Ollama text package at a short 4K context, we estimate at least 8 GB GPU memory or 16 GB Apple unified memory. For a more comfortable starting point, use 16 GB GPU memory or 16 GB unified memory. These are capacity estimates, not speed tests; longer context and other apps need additional headroom.
Pick your operating system. Every command below is for the selected package and runtime.
Install Ollama for this operating system before running the model command.
Ollama is the local runtime used here. Download and install the Ollama application for Windows, macOS, or Linux from the official Ollama website, then make sure the ollama command is available in your terminal or command prompt.
Run the model directly. This downloads the 3.4 GB package the first time and then starts an interactive chat session in your terminal.
ollama run qwen3.5:4bOnce the prompt appears, type a plain user message and press Enter. Qwen3.5 operates in thinking mode by default, so you may see content inside a thinking block before the final answer. For example, ask: In two sentences, explain what a local language model is and why private chat can be useful.
Read the text that appears after your prompt. A correct result is a coherent, non-empty answer produced by Qwen3.5 4B in your terminal, optionally preceded by thinking content. If you receive a generated answer, the local chat is working.
Ask a short question with a known answer. Confirm the selected local model responds and verify the answer yourself before using it for private work.
This is a source-linked setup, not a YouRunAI hardware test. Confirm your exact runtime version, package, and output before relying on it.
Install or update Ollama, then run the same documented command again: ollama run qwen3.5:4b
Close other memory-heavy applications and try again. If the machine is very constrained, use a smaller local model, because the documented Qwen3.5 4B package is 3.4 GB.
Wait for the final response after the thinking section. Qwen3.5 operates in thinking mode by default.
Original instructions, model files, and compatibility notes behind this setup.
Save your machine to see a personalized rating and its reasoning.
Add my hardwareInstall a local runtime, run Qwen3.5 9B, confirm responses, and know when to choose the smaller 4B package.
Connect an open coding-capable model in Ollama to Cline, run a small repository task, and review the result locally.
Use the official FLUX.2 Klein 4B ComfyUI template with exact model files, a first prompt, and an output check.