Install Ollama and launch the Gemma 4 E2B instruction-tuned model locally, then send a first chat prompt and confirm the model responds with text.
Install Ollama and launch the Gemma 4 E2B instruction-tuned model locally, then send a first chat prompt and confirm the model responds with text.
Select the weights you want. The download and launch commands change with your choice.
Save your machine in My Hardware to get an automatic starting choice. You can always choose any package yourself.
For the publisher's 7.2 GB Ollama text package at a short 4K context, we estimate at least 12 GB GPU memory or 16 GB Apple unified memory. For a more comfortable starting point, use 16 GB GPU memory or 24 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.
You need a Windows, macOS, or Linux machine with enough free memory to hold the Ollama package for Gemma 4 E2B. The package is listed as 7.2 GB. Keep several gigabytes free beyond that for context and output. Image or audio input requires separate memory validation, so begin with text-only chat.
Install Ollama on your Windows, macOS, or Linux machine using the official installer from Ollama. After installation, make sure the ollama command is available in a new terminal session.
Start the model. Ollama will download the model files if they are not already present, then open an interactive chat session in the terminal.
ollama run gemma4:e2bAt the interactive prompt, type a short private question and press Enter. For example: What can you help me with locally?
Read the generated answer in the terminal. A successful check is a text response that directly addresses your question, not just an empty prompt or a download message.
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 session so the updated PATH is loaded, then try the run command again.
Re-run the run command. Ollama resumes or restarts the download of the Gemma 4 E2B package.
Validate memory usage separately before sending image or audio input. Start with text-only prompts to confirm the model is responding.
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.