For the fastest local setup of this model, Docker is the best choice.

Use the instructions provided below to complete the setup.

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

📊 File Hash: f52b46372c92507228da65915abf4648 — Last update: 2026-06-23 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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:

• DirectX 12 to Vulkan translation wrapper for legacy hardware
• gemma-4-12b-it-GGUF Full Method
• Patch removes all licensing and server API calls
• Launch gemma-4-12b-it-GGUF Windows 11 FREE
• Network throughput stabilizer for unreliable peer-to-peer multiplayer games
• Run gemma-4-12b-it-GGUF Local Guide FREE
• User interface asset scaling patch for crisp 4K display rendering
• gemma-4-12b-it-GGUF on Your PC with Native FP4 Offline Setup