Ministral-3-8B-Reasoning-2512

Ministral 3 8B Reasoning 2512 A balanced model in the Ministral 3 family, **Ministral 3 8B** is a powerful, efficient tiny language model with vision capabilities. This model is the reasoning post-trained version, trained for reasoning tasks, making it ideal for math, coding and stem related use cases. The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 8B can even be deployed locally, capable of fitting in 24GB of VRAM in BF16, and less than 12GB of RAM/VRAM when quantized. Learn more in our blog post and paper. Key Features Ministral 3 8B consists of two main architectural components: **8.4B Language Model** **0.4B Vision Encoder** The Ministral 3 8B Reasoning 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. **Reasoning**: Excels at complex, multi-step reasoning and dynamic problem-solving. **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 Perfect for balanced performance in local or embedded systems, combining versatility with efficiency. Chat interfaces in constrained environments Local daily-driver AI assistant Image/document description and understanding Translation and content generation Specialized agentic use cases Fine-tuning and specialization And more... Bringing advanced AI capabilities to resource-constrained environment