Workflows/Set up private chat with Gemma 4 · 12B

Text / Intermediate

Set up private chat with Gemma 4 · 12B

Run a private local chat with Gemma 4 · 12B using Ollama on Windows, macOS, or Linux. You will install the runtime, fetch the 7.6 GB text-and-image model package, start a chat session, send a first prompt, and confirm the model responds.

EstimatedSource checked 9/24/2026

LOCALRENTED GPU

Before you begin

Difficulty: Intermediate
Software: Ollama
Hardware: For the publisher's 7.6 GB Ollama text package at a short 4K context, we estimate at least 14 GB GPU memory or 16 GB Apple unified memory. For a more comfortable starting point, use 24 GB GPU memory or 24 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 4 · 12B, 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 4 · 12B · official

For the publisher's 7.6 GB Ollama text package at a short 4K context, we estimate at least 14 GB GPU memory or 16 GB Apple unified memory. For a more comfortable starting point, use 24 GB GPU memory or 24 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 4 · 12B 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 Ollama on your Windows, macOS, or Linux machine. Use the platform installer provided by Ollama, then confirm the ollama command is available in your terminal.

Start the Gemma 4 · 12B chat

In a terminal, run the Ollama command for the Gemma 4 · 12B package. The first run pulls the 7.6 GB text-and-image model files, then opens an interactive chat session.

ollama run gemma4:12b

Send a first prompt

Once the chat session is ready, type this prompt and press Enter: Explain in two sentences why a local chatbot can keep conversations private.

Confirm the model responds

The model should return a natural-language answer about local processing and privacy. A valid response shows that Gemma 4 · 12B is running locally and replying to your prompt. If the terminal returns an error instead, stop and work through the troubleshooting items.

SUCCESS CHECK · Gemma 4 · 12B

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

The ollama command is not recognized after installation.

Open a fresh terminal window so the updated PATH is loaded, then run the install step again if needed.

The model pull stops or fails before finishing.

Check that the 7.6 GB package fits on your disk and that your connection is stable, then run ollama run gemma4:12b again to resume or retry the download.

The model loads slowly or the machine runs out of memory.

Close other memory-heavy applications before starting Gemma 4 · 12B, and avoid combining image input or long context unless the machine has memory to spare.

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 4 · 12B

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

Beginner

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Install a local runtime, run Qwen3.5 9B, confirm responses, and know when to choose the smaller 4B package.

Build a private local coding assistant

Connect an open coding-capable model in Ollama to Cline, run a small repository task, and review the result locally.

SOFTWAREOllama + Cline

Generate images on your own GPU

Use the official FLUX.2 Klein 4B ComfyUI template with exact model files, a first prompt, and an output check.

SOFTWAREComfyUI

LOCALRENTED GPU

Verified source