Ministral-3-3B-Instruct-2512 Locally via Ollama 2 5-Minute Setup

If you want the fastest local installation for this model, use Docker.

Refer to the instructions below to proceed.

The setup auto-streams the model assets (expect a multi-GB download).

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🔐 Hash sum: 3a336a6745d3ade275389563ded6820f | 📅 Last update: 2026-06-23 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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.

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