How to Autostart deepseek-v4-gguf Windows 11

For an instant local deployment, running a pre-configured shell script is ideal.

Proceed by following the technical instructions below.

The download manager will automatically pull several gigabytes of data.

You don’t need to tweak anything; the installer picks the highest performing setup.

🔐 Hash sum: 868aa623a5dcd754bd7e3f6c21bbf745 | 📅 Last update: 2026-07-04
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  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: free: 80 GB on system drive for scratch space
  • 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.

Parameter Count 7 B
Context Length 8 K tokens
Quantization GGUF
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