Install Ministral-3-3B-Instruct-2512 Offline Setup

The shortest path to running this model is by activating Hyper-V features.

Please adhere to the deployment steps listed below.

1-click setup: the app automatically fetches the large weight files.

The automated script takes care of everything, tailoring the setup to your specs.

📘 Build Hash: d791eb626c06e0be9837ed8380620230 • 🗓 2026-07-03

Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
RAM: minimum 16 GB for stable 8B model loading
Disk Space: 80 GB NVMe SSD required for fast model weights loading
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.

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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