MiniMax-M2.5 on Your PC Windows

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

Review and follow the instructions below.

The installer auto-downloads and deploys the entire model pack.

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

📘 Build Hash: f6466bf0379359553086e52e21560e1a • 🗓 2026-06-28 Verify Processor: next-gen chip for heavy context processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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