gemma-4-31B-it on Copilot+ PC Windows

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

Please follow the instructions listed below to get started.

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

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🧩 Hash sum → 84232d83b23fe937e1fec859759d4c0a — Update date: 2026-06-28
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

The Gemma-4-31B-it model represents a significant advancement in open‑source language models, combining a 31 billion parameter architecture with sophisticated instruction tuning. It leverages a mixture‑of‑experts design to achieve both high performance and computational efficiency, making it suitable for a wide range of commercial and research applications. The model supports multimodal inputs, allowing users to process text, images, and audio within a unified framework. Benchmark evaluations place it among the top‑tier models in reasoning, coding, and factual knowledge tasks, often matching or surpassing proprietary alternatives. An accompanying

provides detailed technical specifications and a comparative performance snapshot against earlier Gemma releases.

Specification Value
Parameters 31 B
Context Length 8 K tokens
Training Data Web‑scale multilingual corpus
Inference Speed ~120 MFLOPS
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