Explore Cohere's Command R7B Model

Efficiently tackle complex reasoning with Command R7B.

Input: text Output: text Context: 128,000 tokens Release: 2024-12-14

Cohere's Command R7B, released in December 2024, is a compact and efficient update to the Command R+ series. With a substantial context window of 128,000 tokens, this model is designed to handle complex reasoning tasks and multi-step processes effectively. It operates in a text-to-text modality, making it suitable for a wide range of applications that require text input and output. Key capabilities include Retrieval-Augmented Generation (RAG), tool use, and agent-based tasks. Users can fine-tune the model's behavior using parameters like frequency penalty, max tokens, and temperature. This flexibility allows for tailored responses in diverse scenarios, ensuring that the model meets specific needs.

Use Cases

Here are a few ways teams apply Cohere: Command R7B (12-2024) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance multi-step reasoning tasks

Deploy in agent-based systems

Integrate with tool use applications

Implement Retrieval-Augmented Generation

Customize outputs for specific needs

Key Features

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

128,000 token context window

Text-to-text modality

Supports complex reasoning

Optimized for RAG and tool use

Customizable with various parameters

Specs

Overview

Vendor
cohere

Model ID
cohere/command-r7b-12-2024

Release
2024-12-14

Modalities & context

Input
text

Output
text

Context
128,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Cohere: Command R7B (12-2024)

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

Artificial Intelligence (AI) has the potential to revolutionize various aspects of our lives, including work, leisure, and creativity, in numerous positive ways: **Work:** AI can automate repetitive and mundane tasks, freeing up human workers to focus on more complex and creative work. This can increase productivity and efficiency, leading to economic growth. AI-powered tools can also enhance decision-making by providing data-driven insights, improving accuracy, and reducing human error. **Leisure:** In leisure, AI can personalize experiences by analyzing user preferences and behavior. It can recommend tailored entertainment, travel, and dining options, making leisure activities more enjoyable and engaging. Additionally, AI-powered virtual assistants can manage schedules, making it easier to organize and optimize free time. **Creativity:** AI can augment human creativity by providing new tools and inspiration. Generative AI models can create art, music, and writing, opening up new avenues for artistic expression. It can also assist in content creation, helping writers and artists overcome creative blocks and explore new ideas. Furthermore, AI can analyze vast amounts of data to identify patterns and trends, inspiring innovative solutions and ideas.

Run this prompt on Upend.AI

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Chat with Command R7B

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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