Setup gemma-4-12b-it-GGUF No Python Required Offline Setup

The fastest way to get this model running locally is via Docker.

Use the instructions provided below to complete the setup.

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

🔍 Hash-sum: 83b72bb472cd10d75d54c9f60ddc1143 | 🕓 Last update: 2026-06-27 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The gemma-4-12b-it-GGUF model is a 12‑billion parameter language model built on the Gemma instruction‑tuned architecture.

It is packaged in the GGUF format, which provides efficient quantization and fast inference on a variety of hardware platforms.

The model excels at following complex instructions, generating coherent text, and supporting a wide range of conversational tasks.

Its training incorporates extensive instruction data, enabling it to adapt to user intent with high fidelity and minimal prompting.

Below is a quick reference of its core specifications:

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