Madavoor Mukku

DeepSeek-R1-0528-NVFP4-v2 Full Speed NPU Mode For Beginners

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DeepSeek-R1-0528-NVFP4-v2 Full Speed NPU Mode For Beginners

The fastest way to get this model running locally is via Optional Features.

Make sure to follow the instructions below.

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

The smart installation system will instantly find the perfect configuration.

🔐 Hash sum: 332a7b0a3d4cdf3faf82a0051955435c | 📅 Last update: 2026-06-27
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  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: required: 16 GB absolute minimum for small models
  • 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. Script automating installation of Open-WebUI docker templates with data persistence
  10. Full Deployment DeepSeek-R1-0528-NVFP4-v2 Locally via LM Studio FREE

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