How to Deploy DeepSeek-R1-0528-NVFP4-v2 Zero Config

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

Kindly follow the on-screen instructions below.

Be patient as the system self-retrieves massive model weights dynamically.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

📎 HASH: d4d6f7bde9948c7f53c1e9f789cccaa3 | Updated: 2026-06-26 Verify Processor: 6-core 3.5 GHz minimum required RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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