The fastest way to get this model running locally is via Docker.
Make sure to follow the instructions below.
1-click setup: the app automatically fetches the large weight files.
During setup, the script automatically determines and applies the best settings tailored to your machine.
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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