DeepSeek-V4-Pro on Copilot+ PC Step-by-Step

DeepSeek-V4-Pro on Copilot+ PC Step-by-Step

The fastest method for installing this model locally is by using Docker.

Please follow the instructions listed below to get started.

The system automatically triggers a cloud download for all heavy weights.

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📦 Hash-sum → c6b32f2a6104461956805525f6abde28 | 📌 Updated on 2026-06-22



  • Processor: high single-core performance needed for token latency
  • RAM: enough space for background apps and OS overhead
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

DeepSeek-V4-Pro introduces a groundbreaking sparse‑attention architecture that dramatically cuts compute costs while retaining the ability to model long‑range contexts. With a staggering parameter count exceeding 1.5 trillion weights, the model delivers superior multilingual capabilities and nuanced reasoning. It has been trained on a meticulously curated training dataset of more than 5 trillion tokens, encompassing code repositories, scientific papers, and diverse conversational sources. Benchmark results highlight its state‑of‑the‑art performance across reasoning, coding, and factual QA tasks, often outpacing earlier models by double‑digit margins. Key technical specifications are summarized below:

Metric Value
Parameters 1.5 T
Training Tokens 5 T
Context Length 8K
FLOPs per Token 2.3×10^12
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