gemma-4-E4B-it on Copilot+ PC Full Speed NPU Mode 5-Minute Setup

The fastest way to get this model running locally is via Optional Features.

Use the instructions provided below to complete the setup.

An automated background process downloads all required large-scale files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📘 Build Hash: 2c98afb996294f728e3e5740b7607136 • 🗓 2026-07-06 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Storage:100 GB free space for HuggingFace cache folder Graphics: 12 GB VRAM minimum required for basic quantization

Gemma-4-E4B-it is a state‑of‑the‑art language model engineered for high‑efficiency inference on edge devices. It incorporates 2 B parameters and a 4 K context window, allowing nuanced comprehension while preserving low latency. The architecture leverages advanced quantization techniques to achieve sub‑2 ms token generation on consumer hardware. Its design includes multi‑head attention and grouped‑query attention, delivering strong performance across benchmarks such as MMLU and GSM‑8K. The model also supports seamless integration with developer tools through its open‑source API.

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