How to Install DeepSeek-R1-0528-NVFP4-v2 Windows 11 Quantized GGUF Easy Build Windows

How to Install DeepSeek-R1-0528-NVFP4-v2 Windows 11 Quantized GGUF Easy Build Windows

Using the Windows Package Manager is the quickest way to trigger the setup.

Execute the commands and steps outlined below.

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

Without any user input, the software calibrates parameters for optimal hardware usage.

📊 File Hash: 62c919613b32df6aceb34e3af5223bf5 — Last update: 2026-06-24



  • Processor: high single-core performance needed for token latency
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk: 150+ GB for high-context vector database storage
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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