Setup DeepSeek-R1-0528-NVFP4-v2 Windows 11 Uncensored Edition 2026/2027 Tutorial

The shortest path to running this model is by activating Hyper-V features.

Follow the sequence of steps detailed below.

The client handles the setup, pulling gigabytes of data automatically.

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

🗂 Hash: ce93db9cf01e1590c6f518fa1bcbce12 • Last Updated: 2026-07-03
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  • Processor: 6-core 3.5 GHz minimum required
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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