A standalone PowerShell module provides the fastest route to local installation.
Refer to the instructions below to proceed.
The setup auto-downloads all needed files (several GBs).
There is no manual tuning required; the builder deploys the best matching configuration.
📤 Release Hash: 8ddbc9e93e694f1d0eca01774fbb81e3 • 📅 Date: 2026-07-05
- CPU: modern architecture (Zen 3 / Alder Lake minimum)
- RAM: 32 GB or higher for smooth 32k context lengths
- Disk Space: free: 80 GB on system drive for scratch space
- Graphics: CUDA Compute Capability 8.0+ required for flash-attention
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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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