Running this model locally is fastest when deployed through Docker.
Simply follow the directions outlined below.
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The setup auto-downloads all needed files (several GBs).
The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.
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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