Zero-Click Run gemma-4-26B-A4B-it-qat-GGUF on Your PC Easy Build
Using Docker is the absolute quickest way to install this model on your local machine.
Use the instructions provided below to complete the setup.
No manual effort needed; the setup auto-ingests the large data.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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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