Ministral-3-3B-Instruct-2512

Ministral 3 3B Instruct 2512 The smallest model in the Ministral 3 family, **Ministral 3 3B** is a powerful, efficient tiny language model with vision capabilities. This model is the instruct post-trained version in **FP8**, fine-tuned for instruction tasks, making it ideal for chat and instruction based use cases. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 3B can even be deployed locally, capable of fitting in 8GB of VRAM in FP8, and less if further quantized. Learn more in our blog post and paper. Key Features Ministral 3 3B consists of two main architectural components: **3.4B Language Model** **0.4B Vision Encoder** The Ministral 3 3B Instruct model offers the following capabilities: **Vision**: Enables the model to analyze images and provide insights based on visual content, in addition to text. **Multilingual**: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic. **System Prompt**: Maintains strong adherence and support for system prompts. **Agentic**: Offers best-in-class agentic capabilities with native function calling and JSON outputting. **Edge-Optimized**: Delivers best-in-class performance at a small scale, deployable anywhere. **Apache 2.0 License**: Open-source license allowing usage and modification for both commercial and non-commercial purposes. **Large Context Window**: Supports a 256k context window. Use Cases Ideal for lightweight, real-time applications on edge or low-resource devices, such as: Image captioning Text classification Real-time efficient translation Data extraction Short content generation Fine-tuning and specialization And more... Bringing advanced AI capabilities to edge and distributed environments for embedded systems. Recommended Settings We recommend deploying with the following best practices: System Prompt: Define a clear environment and use case, including guidance on