If you need a near-instant local setup, just fetch files via a basic curl request.
Follow the guidelines below to continue.
The setup auto-downloads all needed files (several GBs).
Without any user input, the software calibrates parameters for optimal hardware usage.
gemma-4-26B-A4B-it-qat-GGUF is a large language model built on the Gemma architecture with 26โฏbillion 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 longโform 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 | 26โฏB |
| Context Length | 8K tokens |
| Quantization | QAT (GGUF) |
| Architecture | Gemmaโ4 |
| Primary Use | Text generation, code, QA |
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