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How to Run DeepSeek-V4-Pro One-Click Setup

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How to Run DeepSeek-V4-Pro One-Click Setup

Docker offers the quickest path to setting up this model locally.

Review and follow the instructions below.

The installer automatically pulls the model (could be multiple GBs).

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

📦 Hash-sum → 9631edf14ebefa8b7d00b025faad01ab | 📌 Updated on 2026-06-28
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  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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