gemma-4-26B-A4B-it-qat-GGUF on Copilot+ PC with 1M Context For Beginners

The fastest method for installing this model locally is by using Docker.

Please follow the instructions listed below to get started.

The process automatically pulls down gigabytes of critical model assets.

The setup file includes a feature that instantly optimizes all configurations.

📤 Release Hash: 8d18bcd2fdfddf703194e79199e07e41 • 📅 Date: 2026-06-25 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: enough space for background apps and OS overhead Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: modern architecture (Ada Lovelace / Ampere minimum)

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.

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