DeepSeek-V4-Flash on Copilot+ PC with 1M Context Windows

For the fastest local setup of this model, Docker is the best choice.

Just follow the guidelines provided below.

1-click setup: the app automatically fetches the large weight files.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

🛡️ Checksum: 085fc42ccba27a340711f80a99650c55 — ⏰ Updated on: 2026-06-28
  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage:100 GB free space for HuggingFace cache folder
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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.

Parameters 180B 150B
Context Length 128K tokens 64K tokens
Training Data 2.5T tokens 1.8T 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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