How to Setup DeepSeek-R1-0528-NVFP4-v2 Windows 10 One-Click Setup

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If you need a near-instant local setup, just fetch files via a basic curl request.

Refer to the instructions below to proceed.

The engine will automatically fetch large dependencies in the background.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

🔗 SHA sum: 9fb85c5a06b9dbf32a7df676e50b1885 | Updated: 2026-06-28 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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