Workflows/Set up private chat with Gemma 3 · 4B

Text / Intermediate

Set up private chat with Gemma 3 · 4B

Run a private local chat with Gemma 3 4B using Ollama on Windows, macOS, or Linux. Start the runtime, load the gemma3:4b model, send a first text prompt, and confirm the model responds from your machine.

EstimatedSource checked 9/24/2026

LOCALRENTED GPU

Before you begin

Difficulty: Intermediate
Software: Ollama, Gemma 3 4B (gemma3:4b)
Hardware: For the publisher's 3.3 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.

TEXT / OLLAMASOURCE-LINKED SETUP

Set up private chat with Gemma 3 · 4B, step by step.

Choose a package Run its commands Check the result

BEFORE YOU BEGIN

The documented package

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.

CURRENT SETUP

Gemma 3 · 4B · official

For the publisher's 3.3 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.

View weight source

THE WORKFLOW

Set up Gemma 3 · 4B on your machine

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.

Install Ollama

Install the Ollama runtime for Windows, macOS, or Linux from https://ollama.com/download, then confirm the command-line tool is available on your PATH.

Start a private chat session

Run the model locally in an interactive session. On first use, Ollama downloads the gemma3:4b package automatically.

ollama run gemma3:4b

Send a first text prompt

At the prompt that appears, type a simple message and press Enter. For example, ask the model to introduce itself in one sentence. The model should answer in the same terminal.

Confirm the model responds correctly

Read the reply in the terminal. It should be a coherent text answer to your prompt, showing that gemma3:4b is loaded and generating output locally. A blank reply, an error message, or the model failing to load means the chat is not yet working.

SUCCESS CHECK · Gemma 3 · 4B

Check the first local reply

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.

Back to setup steps

When it doesn’t go to plan

Ollama is not recognized after installation.

Close and reopen your terminal so the updated PATH is picked up, or restart your computer. Then try the chat command again.

The model download or run fails with memory or disk errors.

Free up disk space and close other memory-heavy applications. The gemma3:4b package is about 3.3 GB, and loading it also needs additional memory.

The model loads but does not answer your first prompt.

Press Enter again or retype the prompt. If it still stalls, stop the session with Ctrl+C and start it again with the same chat command.

REFERENCE LIBRARY

Sources and files

Original instructions, model files, and compatibility notes behind this setup.

4 SOURCES

01Publisher model card and weightshuggingface.co 02Publisher run instructionsollama.com 03Official Ollama downloadollama.com 04Ollama CLI referencedocs.ollama.com

The model behind this workflow

Gemma 3 · 4B

MY HARDWARE

Will it run on your machine?

Save your machine to see a personalized rating and its reasoning.

Add my hardware

Keep exploring

Text

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LOCALRENTED GPU

Verified source