MiniMax-M2.5 on Copilot+ PC Full Speed NPU Mode 5-Minute Setup Windows

MiniMax-M2.5 on Copilot+ PC Full Speed NPU Mode 5-Minute Setup Windows

The most rapid route to a local installation of this model is through WSL2.

Please adhere to the deployment steps listed below.

The loader auto-caches the model archive (several GBs included).

You don’t need to tweak anything; the installer picks the highest performing setup.

🛡️ Checksum: a7094130053c2ee52cde1712cbe29a90 — ⏰ Updated on: 2026-07-05



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

MiniMax-M2.5 is an next‑generation transformer-based AI model designed for both textual and visual tasks. It leverages a sparse attention mechanism to achieve high inference speed while maintaining state‑of‑the‑art accuracy across benchmarks. The architecture incorporates a mixture‑of‑experts routing strategy, allowing efficient scaling to 175 billion parameters without a proportional increase in computational cost. Its training pipeline utilizes a curated web‑scale corpus combined with multimodal datasets, enabling robust context understanding and generation in multiple languages. The model’s energy‑efficient design reduces inference latency, making it suitable for deployment on edge devices and cloud services alike. Below is a concise comparison of key technical specifications:

Spec Value
Parameter Count 175 B
Context Length 8K tokens
Training Data Size 1.5 TB
Inference Speed >200 tokens/s
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