Install DeepSeek-R1-0528-NVFP4-v2 For Low VRAM (6GB/8GB) Direct EXE Setup

For an instant local deployment, running a pre-configured shell script is ideal.

Check out the detailed setup guide below to begin.

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

The engine benchmarks your hardware to apply the most effective operational mode.

🗂 Hash: 052988cbc4b567d7408befee17b307f3 • Last Updated: 2026-07-01
  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk: high-speed SSD 120 GB to cache model layers
  • 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:

Parameter Count 180 B
Training Tokens 5 trillion
Inference Latency 23 ms/token
Precision NVFP4
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