Install Ministral-3-3B-Instruct-2512

Install Ministral-3-3B-Instruct-2512

For the fastest local setup of this model, Docker is the best choice.

Follow the guidelines below to continue.

The system automatically triggers a cloud download for all heavy weights.

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

🔐 Hash sum: eb29e03aed4740dd84176ea4bcac468e | 📅 Last update: 2026-06-25
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  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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