The shortest path to running this model is by activating Hyper-V features.
Refer to the action plan below to initialize the model.
The tool automatically synchronizes and downloads the model database.
The automated script takes care of everything, tailoring the setup to your 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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