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How to Autostart DeepSeek-R1-0528-NVFP4-v2 PC with NPU One-Click Setup Easy Build

Using Docker is the absolute quickest way to install this model on your local machine.

Follow the step-by-step instructions below.

1-click setup: the app automatically fetches the large weight files.

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

💾 File hash: cf1e78bfe877017b3515ae077838aaca (Update date: 2026-06-25)



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: 12 GB VRAM minimum required for basic quantization

DeepSeek-R1-0528-NVFP4-v2 is a large language model optimized for low‑precision inference on NVIDIA’s Hopper architecture. It leverages NVFP4 data type to achieve higher throughput while maintaining state‑of‑the‑art accuracy. The model features a parameter count of 180 B and was trained on over 5 trillion tokens, enabling robust reasoning across diverse domains. Its inference latency averages 23 ms per token on a single A100‑80GB, making it suitable for real‑time applications. The design incorporates mixture‑of‑experts layers that dynamically route queries to specialized subnetworks, improving both efficiency and scalability. Below is a quick comparison of key technical specifications:

Parameter Count 180 B
Training Tokens 5 trillion
Inference Latency 23 ms/token
Precision NVFP4
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