How to Setup DeepSeek-R1-0528-NVFP4-v2 Windows 10

The fastest tactical way to launch this model locally is via a Docker image.

Use the instructions provided below to complete the setup.

Everything happens automatically, including the heavy cloud asset download.

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

🔐 Hash sum: 9593fdb54b14602bac82ca4fe070bc58 | 📅 Last update: 2026-06-28 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphics: 12 GB VRAM minimum required for basic quantization

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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