gemma-4-12B-it Locally via Ollama 2

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

Review and follow the instructions below.

The download manager will automatically pull several gigabytes of data.

The configuration wizard runs silently to set up the model for peak performance.

📎 HASH: 6e49cde1a03bcae6948b3cc727118fcd | Updated: 2026-07-04 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The Gemma-4-12B-it model delivers state‑of‑the‑art performance across a wide range of language tasks. Its 12‑billion parameter architecture enables fast inference while maintaining high accuracy on reasoning benchmarks. The model supports a 2048‑token context window, allowing it to understand longer passages and generate coherent responses. Trained on diverse web‑scale datasets, it exhibits strong multilingual capabilities and a nuanced understanding of technical terminology. Compared to its predecessors, Gemma‑4‑12B‑it shows a 15% improvement in reading comprehension and a 10% boost in code generation tasks. The following table summarizes its key specifications:

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