How to Install DeepSeek-V4-Pro on Your PC Complete Walkthrough

How to Install DeepSeek-V4-Pro on Your PC Complete Walkthrough

If you want the fastest local installation for this model, use Docker.

Refer to the instructions below to proceed.

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

During setup, the script automatically determines and applies the best settings tailored to your machine.

🧮 Hash-code: 088f3dc3e32b616dee44d6da9127ee98 • 📆 2026-06-23



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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