Description
Ministral 3 is part of the Ministral 3 family, known for its compact size and powerful capabilities. The Ministral 3 3B Instruct model is specifically post-trained for instruction tasks, making it ideal for chat and instruction-based applications. It features a 3.4B language model and a 0.4B vision encoder, enabling it to analyze images and provide insights based on visual content. The model supports dozens of languages, including English, French, Spanish, and Chinese, making it suitable for multilingual applications.
Designed for edge deployment, Ministral 3 can run on a wide range of hardware, including local devices with as little as 8GB of VRAM. Its edge-optimized nature ensures best-in-class performance at a small scale, making it deployable anywhere. The model adheres strongly to system prompts and offers agentic capabilities with native function calling and JSON outputting.
Ministral 3 is licensed under the Apache 2.0 License, allowing for both commercial and non-commercial use. It supports a large context window of 256k, making it suitable for real-time applications such as image captioning, text classification, and efficient translation. The model can be fine-tuned and specialized for various use cases, bringing advanced AI capabilities to embedded systems and distributed environments.
Ministral 3 AI Model Highlights
3.4B Language Model
0.4B Vision Encoder
Multilingual Support
Edge-Optimized Performance
System Prompt Adherence
Agentic Capabilities
Large Context Window
Apache 2.0 License
Getting Started with Ministral 3 AI Model
Access page: Visit the Hugging Face model page
Load model: Download and initialize the Ministral 3 model
Configure environment: Set up hardware and software requirements
Integrate: Use vLLM or Transformers for integration
Fine-tune: Customize the model for specific tasks
Ministral 3 AI Model's Use Cases
- Image Captioning
- Text Classification
- Efficient Translation
- Data Extraction
- Short Content Generation







