DeepSeek-R1-0528-NVFP4-v2 with Native FP4 5-Minute Setup

Deploying this model locally is quickest when done via a simple curl command.

Follow the sequence of steps detailed below.

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

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📊 File Hash: 40ea40ad6dfb3f5647e67772302d9636 — Last update: 2026-06-28 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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