DeepSeek-R1-0528-NVFP4-v2 Offline Setup Windows

DeepSeek-R1-0528-NVFP4-v2 Offline Setup Windows

For an instant local deployment, running a pre-configured shell script is ideal.

Follow the step-by-step instructions below.

The tool automatically synchronizes and downloads the model database.

The deployment tool scans your environment and chooses the ideal parameters.

🛡️ Checksum: 824d593800582b0c43c3d01a16b4a35e — ⏰ Updated on: 2026-06-27



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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
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