Explore Mistral 7B Instruct by mistralai

Efficient text generation with a 32,768 token context window.

Input: text Output: text Context: 32,768 tokens Release: 2024-05-27

Discover the Mistral 7B Instruct by mistralai, released on May 27, 2024. This text-to-text model features a substantial 7.3 billion parameters, designed for high performance and efficiency. With an impressive context length of 32,768 tokens, it handles extensive text inputs and outputs smoothly. The model supports various parameters like frequency and presence penalties, offering flexibility in generating responses. Whether you're crafting detailed narratives or concise summaries, Mistral 7B Instruct delivers reliable, context-aware text generation.

Use Cases

Here are a few ways teams apply Mistral: Mistral 7B Instruct (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Generate detailed narratives effortlessly

Craft concise summaries with context awareness

Enhance text-based AI applications

Improve content creation workflows

Key Features

A quick look at the capabilities that make this model useful in real projects.

7.3 billion parameters for robust performance

32,768 token context length for extensive inputs

Supports diverse text generation parameters

Optimized for speed and context handling

Text-to-text modality for versatile applications

Specs

Overview

Vendor
mistralai

Model ID
mistralai/mistral-7b-instruct:free

Release
2024-05-27

Modalities & context

Input
text

Output
text

Context
32,768 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.3, top_p 0.95

Benchmark tests: Mistral: Mistral 7B Instruct (free)

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

The Mistral 7B Instruct is a language model designed for instruction-following tasks, featuring 7 billion parameters. It is optimized for generating coherent and contextually relevant responses based on user prompts, making it suitable for applications such as chatbots, content generation, and educational tools. The model is trained on a diverse dataset, enabling it to understand and respond to a wide range of topics effectively. However, users should be aware of certain constraints, including potential biases in generated content and limitations in understanding highly specialized or niche subjects. Additionally, while the model can produce informative responses, it may not always guarantee factual accuracy or up-to-date information. Overall, the Mistral 7B Instruct serves as a versatile tool for enhancing user interaction and automating text-based tasks.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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