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Setup DeepSeek-V4-Pro with 1M Context Full Method Windows

For the fastest local setup of this model, enabling Windows Features is best.

Follow the step-by-step instructions below.

The tool automatically synchronizes and downloads the model database.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

馃敆 SHA sum: 52fe048a7ab967db170f87be7b607d29 | Updated: 2026-06-25



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

DeepSeek-V4-Pro introduces a groundbreaking sparse鈥慳ttention architecture that dramatically cuts compute costs while retaining the ability to model long鈥憆ange contexts. With a staggering parameter count exceeding 1.5鈥痶rillion weights, the model delivers superior multilingual capabilities and nuanced reasoning. It has been trained on a meticulously curated training dataset of more than 5鈥痶rillion tokens, encompassing code repositories, scientific papers, and diverse conversational sources. Benchmark results highlight its state鈥憃f鈥憈he鈥慳rt performance across reasoning, coding, and factual QA tasks, often outpacing earlier models by double鈥慸igit margins. Key technical specifications are summarized below:

Metric Value
Parameters 1.5鈥疶
Training Tokens 5鈥疶
Context Length 8K
FLOPs per Token 2.3脳10^12
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