How to Autostart DeepSeek-V4-Pro Offline on PC with Native FP4 No-Code Guide

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

Refer to the instructions below to proceed.

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

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

???? Hash sum → e370ff3d86f859e4831e04121b087996 — Update date: 2026-07-04 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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:

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