DeepSeek-V4-Pro on AMD/Nvidia GPU One-Click Setup

Using the Windows Package Manager is the quickest way to trigger the setup.

Carefully read and apply the steps described below.

The framework seamlessly downloads the massive neural network binaries.

To save you time, the system will automatically determine efficient resource allocation.

📡 Hash Check: 257bdadee11f514e1e61c85428fe87bf | 📅 Last Update: 2026-06-25



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Storage: extra room for future model updates and datasets
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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