Deploy gemma-4-12b-it-GGUF with Native FP4

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

Refer to the instructions below to proceed.

The system automatically triggers a cloud download for all heavy weights.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

💾 File hash: 14186cef6293d7a957c96722707bec07 (Update date: 2026-06-24) Verify Processor: next-gen chip for heavy context processing RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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