Mistral Tiny, released by MistralAI in January 2024, is a versatile text-to-text model designed for efficient large batch processing. With a context window of 32,768 tokens, it can handle extensive text inputs, making it suitable for tasks where cost efficiency is prioritized over complex reasoning. This model is built on the Mistral-7B-v0.2 and features improved fine-tuning inspired by community contributions. It accepts text as input and generates text outputs, supporting various parameters like frequency penalty, max tokens, and temperature adjustments. Mistral Tiny is particularly useful in scenarios where you need to process large volumes of text quickly and economically.
Use Cases
Here are a few ways teams apply Mistral Tiny in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Process large volumes of text efficiently
Optimize cost in text processing tasks
Utilize improved fine-tuning for better results
Handle extensive text inputs seamlessly
Key Features
A quick look at the capabilities that make this model useful in real projects.
Powered by Mistral-7B-v0.2
Context window of 32,768 tokens
Improved fine-tuning for efficiency
Text-to-text processing
Supports diverse parameters
Specs
Overview
Vendor
mistralai
Model ID
mistralai/mistral-tiny
Release
2024-01-10
Modalities & context
Input
text
Output
text
Context
32,768 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 Tiny
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 a positive manner. In the realm of work, AI can automate repetitive tasks, freeing up human workers to focus on more complex and creative tasks. This could lead to increased productivity, efficiency, and job satisfaction.
In leisure, AI can provide personalized experiences tailored to individual preferences. For example, AI algorithms can recommend movies, music, or books based on a user's past choices, enhancing their entertainment experience. AI-powered virtual assistants can also help manage daily tasks, allowing people more time for relaxation and hobbies.
In creativity, AI can serve as a powerful tool. AI can generate art, music, and writing, opening up new avenues for human creativity. AI can also assist in the creative process by providing suggestions, ideas, and even completing tasks. This collaboration between AI and humans could lead to unprecedented creative outputs.
Moreover, AI can help in solving complex problems, driving scientific research, and improving healthcare services, thereby contributing to societal progress. However, it's crucial to ensure AI is used ethically and responsibly to maximize its benefits and minimize potential negative impacts.
Run this prompt on Upend.AI