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Launch Gemma-4-31B-IT-NVFP4 on Copilot+ PC 5-Minute Setup Windows

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Launch Gemma-4-31B-IT-NVFP4 on Copilot+ PC 5-Minute Setup Windows

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

Proceed by following the technical instructions below.

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

An automated hardware sweep ensures the system will select the best tuning parameters.

📤 Release Hash: 2ded26e07d69dc94f91ef70c4e160815 • 📅 Date: 2026-06-25
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Storage: extra room for future model updates and datasets
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The Gemma-4-31B-IT-NVFP4 model represents a significant advancement in open‑source language models, combining a 31‑billion parameter architecture with instruction‑following capabilities optimized for diverse tasks. Built on the Transformer decoder with grouped‑query attention and rotary positional embeddings, it achieves a balanced trade‑off between computational efficiency and contextual understanding. Through extensive instruction tuning on a curated dataset of textual interactions, the model demonstrates strong performance on reasoning, coding, and conversational prompts while maintaining a compact footprint. A key highlight is its support for NVFP4 quantized weights, which reduces memory usage by up to 75 % without sacrificing accuracy, making it suitable for deployment on edge devices. Benchmark evaluations place it among the top‑tier models in its size class, excelling in both factual retrieval and creative generation tasks. The model is released under an open license, encouraging community contributions and further research into efficient AI systems.

Spec Value
Parameters 31 B
Quantization NVFP4
Architecture Transformer decoder
Attention Grouped‑query + RoPE
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