gemma-4-26B-A4B-it-qat-GGUF Locally via LM Studio with Native FP4 5-Minute Setup

A standalone PowerShell module provides the fastest route to local installation.

Proceed by following the technical instructions below.

The download manager will automatically pull several gigabytes of data.

The installer will automatically analyze your hardware and select the optimal configuration.

📤 Release Hash: a773bb371522fa1a03752d89978cd135 • 📅 Date: 2026-06-27 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

gemma-4-26B-A4B-it-qat-GGUF is a large language model built on the Gemma architecture with 26 billion parameters. It employs *QAT* techniques to improve inference efficiency while maintaining high performance. The model offers an 8K token context window, enabling detailed reasoning and long‑form generation. Benchmarks demonstrate *competitive* results across multilingual tasks, especially in code generation and factual QA. Its GGUF format ensures broad compatibility with inference engines and reduces memory usage for deployment.

Parameters	26 B
Context Length	8K tokens
Quantization	QAT (GGUF)
Architecture	Gemma‑4
Primary Use	Text generation, code, QA

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