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How to Install DeepSeek-R1-0528-NVFP4-v2 Locally via LM Studio One-Click Setup Local Guide

How to Install DeepSeek-R1-0528-NVFP4-v2 Locally via LM Studio One-Click Setup Local Guide

Using a native PowerShell script is the absolute quickest way to install this model.

Make sure you implement the steps mentioned below.

All large files and heavy weights are downloaded automatically by the script.

The automated script takes care of everything, tailoring the setup to your specs.

🔍 Hash-sum: 042ea5ccb9a815b70d0c7b2774faa1f4 | 🕓 Last update: 2026-06-23



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: free: 80 GB on system drive for scratch space
  • 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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