How to Setup deepseek-v4-gguf Windows 11 For Low VRAM (6GB/8GB)

Docker offers the quickest path to setting up this model locally.

Please follow the instructions listed below to get started.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🖹 HASH-SUM: 23c1af32a0b68e20f6e4e4098fb3af66 | 📅 Updated on: 2026-06-25 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The deepseek-v4-gguf model represents a significant advancement in open‑source language models, combining efficient quantization with state‑of‑the‑art performance. Built on a transformer‑based architecture, it leverages grouped‑query attention to reduce memory footprint while maintaining high inference speed on consumer hardware. With 7 billion parameters and a 8 K context window, the model excels at both reasoning tasks and creative generation, delivering competitive scores on benchmark suites. The GGUF format ensures compatibility across multiple platforms, allowing developers to integrate the model seamlessly into existing pipelines without extensive optimization. A comparison table below highlights key specifications and performance metrics relative to earlier deepseek releases.

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