Install gemma-4-12b-it-GGUF Locally via LM Studio No-Internet Version

Using Docker is the absolute quickest way to install this model on your local machine.

Follow the step-by-step instructions below.

The installer automatically pulls the model (could be multiple GBs).

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

🧮 Hash-code: 5743c2090888d2092ce211e65a890bc0 • 📆 2026-06-23 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 100 GB for multi-modal model vision components Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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