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Quick Run Ministral-3-3B-Instruct-2512 Uncensored Edition

Quick Run Ministral-3-3B-Instruct-2512 Uncensored Edition

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

Please follow the instructions listed below to get started.

The setup auto-downloads all needed files (several GBs).

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

🧾 Hash-sum — bfa702e60dc63dc04abebd0d8e3bc07e • 🗓 Updated on: 2026-06-25



  • Processor: high single-core performance needed for token latency
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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