Run gemma-4-26B-A4B-it-qat-GGUF No Admin Rights Complete Walkthrough

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

The installer auto-downloads and deploys the entire model pack.

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

🗂 Hash: effd14825febf4c2bd2cacd37f59fb3aLast Updated: 2026-06-28



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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