Launch DeepSeek-R1-0528-NVFP4-v2 on Your PC One-Click Setup Local Guide

If you want the fastest local installation for this model, use Docker.

Follow the step-by-step instructions below.

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

🔒 Hash checksum: 4b7606c712c4f543edd43a5995cd7727 • 📆 Last updated: 2026-06-26 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: minimum 16 GB for stable 8B model loading Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for next-gen local AI pipeline

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:

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