
Running this model locally is fastest when deployed through Docker.
Just follow the guidelines provided below.
The system automatically triggers a cloud download for all heavy weights.
The smart installation system will instantly find the perfect configuration for your specific hardware.
📊 File Hash: e2b15496ff6d98a7b7753f77b40e1fbe — Last update: 2026-06-26
- Processor: high single-core performance needed for token latency
- RAM: enough space for background apps and OS overhead
- Disk Space: 100 GB for multi-modal model vision components
- GPU: modern architecture (Ada Lovelace / Ampere minimum)
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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 |
- Installer configuring multi-user access permissions for local Ollama nodes
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- Script automating background repository sync loops for Fooocus-MRE offline systems
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- Setup utility enabling DirectML execution paths for modern Arc GPUs
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- Setup utility deploying structured response models tailored for automated JSON arrays
- Quick Run DeepSeek-R1-0528-NVFP4-v2 via WebGPU (Browser) Zero Config Direct EXE Setup FREE
- Setup tool configuring MemGPT memory layers alongside persistent local GGUF execution engine nodes
- How to Setup DeepSeek-R1-0528-NVFP4-v2 on AMD/Nvidia GPU Uncensored Edition Offline Setup
- Setup utility integrating local LLM pipelines into LibreChat platforms
- Setup DeepSeek-R1-0528-NVFP4-v2 on Your PC 5-Minute Setup
Článek publikován 29. 6. 2026 v rubrice Backends.
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