Run DeepSeek-V4-Pro Locally (No Cloud) One-Click Setup For Beginners

The most rapid route to a local installation of this model is through Docker.

Just follow the guidelines provided below.

1-click setup: the app automatically fetches the large weight files.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

💾 File hash: 994dd70b223a7a1a6fd2a741bf5c3988 (Update date: 2026-06-26)

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Processor: 6-core 3.5 GHz minimum required
RAM: minimum 16 GB for stable 8B model loading
Disk Space: free: 80 GB on system drive for scratch space
GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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Run DeepSeek-V4-Pro Locally (No Cloud) One-Click Setup For Beginners

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