How to Launch DeepSeek-R1-0528-NVFP4-v2 Using Pinokio with Native FP4

If you need a near-instant local setup, just fetch files via a basic curl request.

Follow the sequence of steps detailed below.

The download manager will automatically pull several gigabytes of data.

The deployment tool scans your environment and chooses the ideal parameters.

🧾 Hash-sum — 99a7283ac7fd0fdf2ddd33c6e97329ba • 🗓 Updated on: 2026-06-29 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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