Released in October 2024, the Mistral: Ministral 3B by mistralai is a 3 billion parameter model designed for on-device and edge computing. With a context window of 32,768 tokens, it is well-suited for handling text-to-text tasks. This model stands out for its ability to manage knowledge, commonsense reasoning, and function-calling efficiently, even outperforming larger models like the Mistral 7B in many benchmarks. Its capabilities make it ideal for orchestrating agentic workflows and executing specialist tasks with efficient inference. The model supports various parameters including frequency penalty, max tokens, and temperature, providing flexibility in generating structured outputs.
Use Cases
Here are a few ways teams apply Mistral: Ministral 3B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Optimize on-device workflows
Enhance text-based applications
Support agentic task orchestration
Improve specialist task execution
Key Features
A quick look at the capabilities that make this model useful in real projects.
3 billion parameters for optimized performance
Supports up to 32,768 token context
Efficient inference for edge computing
Excels in commonsense reasoning
Supports function-calling capabilities
Specs
Overview
Vendor
mistralai
Model ID
mistralai/ministral-3b
Release
2024-10-17
Modalities & context
Input
text
Output
text
Context
131,072 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p
Defaults: temperature 0.3, top_p 0.95
Benchmark tests: Mistral: Ministral 3B
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
AI has the potential to significantly transform work, leisure, and creativity in numerous positive ways. In the workplace, AI can automate repetitive tasks, freeing up human time for more strategic and creative work. It can also provide real-time data analysis, enabling better decision-making and improved efficiency. In leisure, AI can personalize entertainment experiences, from music and movies to travel recommendations, making leisure time more enjoyable and tailored. Creatively, AI can assist in generating new ideas, composing music, or even creating art, pushing the boundaries of human creativity. Additionally, AI can help in preserving cultural heritage by digitizing and analyzing historical artifacts, making them more accessible and understandable. Overall, AI's potential to enhance and augment human capabilities across these domains is vast and promising.
Run this prompt on Upend.AI