Deploy DeepSeek-R1-0528-NVFP4-v2 Offline on PC For Beginners

Deploying this model locally is quickest when done via Docker.

Please follow the instructions listed below to get started.

The installer auto-downloads and deploys the entire model pack.

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

🔐 Hash sum: dac9bc63ce2ec7c1a4fd1ca79a745c03 | 📅 Last update: 2026-06-26 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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