How to Launch DeepSeek-R1-0528-NVFP4-v2 Using Pinokio No-Internet Version Dummy Proof Guide

Setting up this model locally is incredibly fast if you use the native CMD prompt.

Please adhere to the deployment steps listed below.

The setup auto-streams the model assets (expect a multi-GB download).

To guarantee smooth performance, the process auto-selects the best options.

🔗 SHA sum: bda0d8c59c6b27a69c9de7cc1822c5fe | Updated: 2026-06-23 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components 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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