Deploy gemma-4-26B-A4B-it-qat-GGUF Locally via LM Studio No-Internet Version Direct EXE Setup
Deploying this model locally is quickest when done via Docker.
Follow the step-by-step instructions below.
The setup auto-downloads all needed files (several GBs).
During setup, the script automatically determines and applies the best settings tailored to your machine.
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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