Run Gemma 4 Locally with 16GB RAM: A Zero-Cost Fully Offline Setup Guide
FinanceYF5 · x · 2026-07-30
With just 16GB of RAM, you can run the Gemma 4 model locally and offline using Ollama, completely free and without needing an API Key or Python.
Deployment Steps:
- Install Ollama: Use brew install ollama for Mac, winget install for Windows, or the official script for Linux.
- Run the Model: Execute ollama run gemma4:e4b (9.6GB). If your device struggles, switch to the lighter gemma4:e2b version.
- Adjust Context: Expand the model's conversational memory using the /set parameter numctx 8192 command, being cautious of potential OOM issues.
- Enforce Local-Only Mode: Create a server.json configuration file with disableollamacloud: true to completely disable cloud models and web search, ensuring no conversation data is ever uploaded.
The model also supports local multimodal analysis, capable of reading screenshots, handwritten notes, and error logs.
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