Using the Windows Package Manager is the quickest way to trigger the setup.
Follow the sequence of steps detailed below.
All large files and heavy weights are downloaded automatically by the script.
Once launched, the wizard detects your specs to configure the model for maximum efficiency.
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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