Run DeepSeek-R1-0528-NVFP4-v2 Locally via Ollama 2 Offline Setup Windows

The shortest path to running this model is by activating Hyper-V features.

Execute the commands and steps outlined below.

All large files and heavy weights are downloaded automatically by the script.

An automated hardware sweep ensures the system will select the best tuning parameters.

🛠 Hash code: 3aa0e6aa8d7e23cab7eb9dcbf9f6ca55 — Last modification: 2026-06-26 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 Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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:

1. Downloader pulling custom frame-interpolation models for local Stable Video Diffusion
2. How to Setup DeepSeek-R1-0528-NVFP4-v2 Uncensored Edition Local Guide
3. Script fetching deepseek code models optimized for local Ollama runtimes
4. DeepSeek-R1-0528-NVFP4-v2 on Your PC with Native FP4
5. Setup tool mapping local CUDA environment variables for native nvcc code compilation
6. Launch DeepSeek-R1-0528-NVFP4-v2 on Your PC No Admin Rights Local Guide Windows

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