Install Ollama
Download and install Ollama from the official download page at https://ollama.com/download, choosing the installer for your operating system (Windows, macOS, or Linux).
Install Ollama, pull the gpt-oss:20b model, launch a local private chat session, send a first prompt, and verify the model responds.
Install Ollama, pull the gpt-oss:20b model, launch a local private chat session, send a first prompt, and verify 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 14.0 GB Ollama text package at a short 4K context, we estimate at least 22 GB GPU memory or 32 GB Apple unified memory. For a more comfortable starting point, use 32 GB GPU memory or 40 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.
Download and install Ollama from the official download page at https://ollama.com/download, choosing the installer for your operating system (Windows, macOS, or Linux).
Open a terminal and download the model weights into your local Ollama library.
ollama pull gpt-oss:20bRun the model in Ollama’s interactive chat mode. Leave this terminal open; it is your private local chat session.
ollama run gpt-oss:20bAt the Ollama prompt, type a short question to confirm the model is responding.
Explain quantum mechanics clearly and concisely.Read the reply printed below your prompt. A successful setup shows a generated answer from gpt-oss:20b. If you see model-generated text that addresses your question, the model is running and responding locally.
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.
Close and reopen your terminal so the updated PATH is loaded, then run the command again.
Run ollama pull gpt-oss:20b again; Ollama resumes from the downloaded portions.
Make sure you are running the model with Ollama, which applies the Harmony response format. The gpt-oss model must be used with the Harmony format to work correctly.
Try the lower reasoning effort setting by including “Reasoning: low” in the system prompt, or ensure your machine has enough free memory for the 20B model.
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.