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Setup DeepSeek-V4-Pro Using Pinokio 2026/2027 Tutorial

Last updated on June 30, 2026

Setup DeepSeek-V4-Pro Using Pinokio 2026/2027 Tutorial

Using a native PowerShell script is the absolute quickest way to install this model.

Follow the straightforward walkthrough provided below.

All large files and heavy weights are downloaded automatically by the script.

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

🛡️ Checksum: 403fe99894eef42b9e0f437829c75193 — ⏰ Updated on: 2026-06-27



  • Processor: next-gen chip for heavy context processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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