Ministral-3-14B-Instruct-2512-BF16

Ministral 3 14B Instruct 2512 BF16 The largest model in the Ministral 3 family, **Ministral 3 14B** offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities. This model is the instruct post-trained version, 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 14B can even be deployed locally, capable of fitting in 32GB of VRAM in BF16, and less than 24GB of RAM/VRAM when quantized. We provide a no-loss FP8 version here, you can find other formats and quantizations in the Ministral 3 - Additional Checkpoints collection. Learn more in our blog post and paper. Key Features Ministral 3 14B consists of two main architectural components: **13.5B Language Model** **0.4B Vision Encoder** The Ministral 3 14B 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 Private AI deployments where advanced capabilities meet practical hardware constraints: Private/custom chat and AI assistant deployments in constrained environments Advanced local agentic use cases Fine-tuning and specialization And