Quick Run Ministral-3-3B-Instruct-2512 Windows 11 5-Minute Setup Windows

If you want the fastest local installation for this model, use standard pip packages.

Follow the guidelines below to continue.

The setup auto-downloads all needed files (several GBs).

The setup file includes a feature that instantly optimizes all configurations.

📦 Hash-sum → 2b25c2a61886f20cacd617d9aa5616b0 | 📌 Updated on 2026-07-04



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: 150+ GB for high-context vector database storage
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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