How to Setup gemma-4-31B-it-FP8-block Windows 10 Full Speed NPU Mode Easy Build

Posted on June 29, 2026

How to Setup gemma-4-31B-it-FP8-block Windows 10 Full Speed NPU Mode Easy Build

If you want the fastest local installation for this model, use Docker.

Follow the step-by-step instructions below.

The setup auto-downloads all needed files (several GBs).

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

🛡️ Checksum: 115e9c39332ed77ec497b3edf13d1a73 — ⏰ Updated on: 2026-06-24



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage: extra room for future model updates and datasets
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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Categories: Quantizations