How to Install DeepSeek-V4-Pro No-Internet Version

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

Just follow the guidelines provided below.

The setup auto-downloads all needed files (several GBs).

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🔐 Hash sum: c83c9696eda083878dc9640a99f58768 | 📅 Last update: 2026-06-28 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space for HuggingFace cache folder 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:

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