Quick Run DeepSeek-R1-0528-NVFP4-v2 on Copilot+ PC with Native FP4 Direct EXE Setup

Running this model locally is fastest when deployed through a PowerShell script.

Follow the sequence of steps detailed below.

An automated background process downloads all required large-scale files.

The setup file includes a feature that instantly optimizes all configurations.

🔒 Hash checksum: 02071f950fa170763e249893e19ab2c7 • 📆 Last updated: 2026-07-01 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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:

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