How to Install gemma-4-12b-it-GGUF Locally (No Cloud) Full Speed NPU Mode

How to Install gemma-4-12b-it-GGUF Locally (No Cloud) Full Speed NPU Mode

Deploying this model locally is quickest when done via Docker.

Please follow the instructions listed below to get started.

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

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🛠 Hash code: a29a50b82d105d596588ac4f5dc8c435 — Last modification: 2026-06-23



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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