DeepSeek-V3.2 Windows 11 One-Click Setup Step-by-Step Windows

To install this model locally in the shortest time, opt for Docker.

Refer to the instructions below to proceed.

1-click setup: the app automatically fetches the large weight files.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🧮 Hash-code: 90857eb4fd83f9272e2aa6cb78c08327 • 📆 2026-06-27



  • Processor: next-gen chip for heavy context processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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