Setup DeepSeek-V4-Flash Full Speed NPU Mode

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Setup DeepSeek-V4-Flash Full Speed NPU Mode

If you want the fastest local installation for this model, use Docker.

Review and follow the instructions below.

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

📤 Release Hash: fbfa7551e8ce607220cd7f908df7b8a4 • 📅 Date: 2026-06-26



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The **DeepSeek-V4-Flash** model delivers state-of-the-art performance across a wide range of natural language tasks. It leverages an optimized transformer architecture with sparse attention mechanisms, enabling faster inference while maintaining high accuracy. The model supports a context window of up to **128K tokens**, allowing it to understand and generate long-form content with contextual coherence. In benchmarks, it outperforms previous generation models by an average of **7%** on reasoning tasks and **5%** on multilingual generation. Below is a concise comparison of its key technical specifications versus the preceding DeepSeek-V3 model.

Parameters180B150B
Context Length128K tokens64K tokens
Training Data2.5T tokens1.8T tokens

This combination of efficiency and capability makes **DeepSeek-V4-Flash** a compelling choice for developers seeking real-time AI solutions.

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