Using the Windows Package Manager is the quickest way to trigger the setup.
Just follow the guidelines provided below.
The tool automatically synchronizes and downloads the model database.
The installer will automatically analyze your hardware and select the optimal configuration.
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🛠Hash code: eb6df6889f1f6801b7153f58b750c9a6 — Last modification: 2026-06-26
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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
| Parameter Count | 31 B |
| Context Length | 128K tokens |
| Precision | FP8 block |
| Architecture | Gemma (in‑struct tuned) |
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