Launch DeepSeek-R1-0528-NVFP4-v2 Locally via LM Studio Offline Setup

The fastest method for installing this model locally is by using Docker.

Just follow the guidelines provided below.

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

🔐 Hash sum: 5a0231fcaa3ac550d550eafdb8e12f18 | 📅 Last update: 2026-06-26 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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