Run DeepSeek-V3.2 Windows 10 No-Internet Version 2026/2027 Tutorial

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The smart installation system will instantly find the perfect configuration for your specific hardware.

đź’ľ File hash: dafd66b92ec522f76221f4258f713ebe (Update date: 2026-06-28)



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The DeepSeek-V3.2 model sets a new benchmark in large language models with its massive 685 billion parameters and an extended 8K context window. It leverages an innovative mixture‑of‑experts architecture that dynamically routes queries to specialized sub‑networks, delivering both high accuracy and rapid inference. Compared to its predecessor, the model exhibits a 30% reduction in computational overhead while maintaining comparable performance on benchmark suites. The accompanying technical specifications are summarized in the table below, highlighting key metrics such as training data volume and inference latency. Its multimodal capabilities enable seamless integration with text, code, and image inputs, making it a versatile tool for developers and enterprises seeking state‑of‑the‑art AI solutions.

Parameters 685 B
Context Length 8K tokens
Training Data 2.5T tokens
Inference Latency <50 ms
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