gemma-4-26B-A4B-it-qat-GGUF Locally via Ollama 2 Zero Config Windows
To get this model running locally in no time, utilize the built-in WSL tools.
Use the instructions provided below to complete the setup.
The download manager will automatically pull several gigabytes of data.
The installer will automatically analyze your hardware and select the optimal configuration.
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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