Quick Run Ministral-3-3B-Instruct-2512 on Copilot+ PC with Native FP4 For Beginners

Running this model locally is fastest when deployed through a PowerShell script.

Make sure to follow the instructions below.

The tool automatically synchronizes and downloads the model database.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📘 Build Hash: a0444d422b76b55ba680697f142ee72a • 🗓 2026-06-23



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

The **Ministral-3-3B-Instruct-2512** is a compact yet powerful language model designed for high‑efficiency inference in production environments. It leverages a refined instruction‑following architecture that enables *precise* task execution across a wide range of textual prompts. With **3 billion parameters**, the model balances performance and resource consumption, delivering competitive benchmark scores while maintaining a small memory footprint. Its **multilingual capabilities** support over 50 languages, making it suitable for global applications that require consistent comprehension and generation. The table below captures the core technical specifications that highlight its speed and scalability. Overall, the Ministral-3-3B-Instruct-2512 offers an *i*state-of-the-art* experience for developers seeking a lightweight yet capable AI assistant.

Specification Value
Parameter Count 3 B
Context Length 8 K tokens
Inference Speed ≈250 tokens/s on GPU
Training Data Size ≈1.5 TB of text

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