How to Run gemma-4-12b-it-GGUF Windows 10 with Native FP4

If you need a near-instant local setup, just fetch files via a basic curl request.

Please adhere to the deployment steps listed below.

The setup auto-downloads all needed files (several GBs).

You don’t need to tweak anything; the installer picks the highest performing setup.

🧾 Hash-sum — cd44f96f65ada79a09c2dd5a1b4e7b5a • 🗓 Updated on: 2026-07-05
  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • 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:

Model Name gemma-4-12b-it-GGUF
Parameters 12 billion
Architecture Gemma
Format GGUF
Instruction Tuning Yes
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