How to Deploy DeepSeek-R1-0528-NVFP4-v2 Using Pinokio Windows

How to Deploy DeepSeek-R1-0528-NVFP4-v2 Using Pinokio Windows

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

Refer to the action plan below to initialize the model.

The client handles the setup, pulling gigabytes of data automatically.

Your resources are automatically evaluated to lock in the premium configuration.

🧩 Hash sum → 6e14a0a2f1ffa715ee25701c8057d3e5 — Update date: 2026-07-07



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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  9. Setup tool installing LocalAI server container with core configurations
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  11. Installer configuring secure sandboxed execution for code models
  12. DeepSeek-R1-0528-NVFP4-v2 Locally (No Cloud) One-Click Setup FREE

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