Launch DeepSeek-V4-Pro on Your PC For Low VRAM (6GB/8GB) Windows

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Launch DeepSeek-V4-Pro on Your PC For Low VRAM (6GB/8GB) Windows

Deploying this model locally is quickest when done via Docker.

Follow the sequence of steps detailed below.

The installer automatically pulls the model (could be multiple GBs).

The smart installation system will instantly find the perfect configuration for your specific hardware.

📎 HASH: 565c5e59ba3b138944f8059569e36970 | Updated: 2026-06-27



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk: 150+ GB for high-context vector database storage
  • 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:

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