How to Launch DeepSeek-R1-0528-NVFP4-v2 Windows 11 Fully Jailbroken Windows

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

Just follow the guidelines provided below.

The setup auto-downloads all needed files (several GBs).

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

🧩 Hash sum → 6fc38f40a936a30c33781f0057887866 — Update date: 2026-07-05 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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