Zero-Click Run DeepSeek-V4-Pro Full Speed NPU Mode Full Method

The fastest way to get this model running locally is via Docker.

Review and follow the instructions below.

The setup auto-streams the model assets (expect a multi-GB download).

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📎 HASH: 2c7780f7153344b9b04778db5963644e | Updated: 2026-06-24
  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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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