The fastest method for installing this model locally is by using Docker.

Refer to the instructions below to proceed.

The loader auto-caches the model archive (several GBs included).

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

🛠 Hash code: 66c93b7f5ced9a5df6720fc6e7fac8c8 — Last modification: 2026-06-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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