Install gemma-4-31B-it-FP8-block 100% Private PC with Native FP4

If you want the fastest local installation for this model, use standard pip packages.

Kindly follow the on-screen instructions below.

The installer automatically pulls the model (could be multiple GBs).

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

📤 Release Hash: 235e5458fb1baf5a2536388ff93599d7 • 📅 Date: 2026-07-02 Verify Processor: next-gen chip for heavy context processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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