How to Autostart gemma-4-E4B-it Full Speed NPU Mode Step-by-Step

For an instant local deployment, running a pre-configured shell script is ideal.

Kindly follow the on-screen instructions below.

1-click setup: the app automatically fetches the large weight files.

The installer will automatically analyze your hardware and select the optimal configuration.

📦 Hash-sum → a1bdc4293cb86be9007905bfb9377411 | 📌 Updated on 2026-07-04 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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.

Parameters	2 B
Context Length	4 K tokens
Quantization	INT4
Throughput	>2000 tokens/s on GPU

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