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C4AI CommandR 08-2024

High-performance generative model with 3.5 billion parameters

#Multi-language support
#Large language model
#Retrieval enhancement generation
#code interaction
#Use conversation tools
C4AI CommandR 08-2024

Product Details

C4AI Command R 08-2024 is a 3.5 billion parameter large-scale language model developed by Cohere and Cohere For AI, optimized for a variety of use cases such as reasoning, summarization, and question answering. The model supports training in 23 languages ​​and is evaluated in 10 languages, with high-performance RAG (Retrieval Augmentation Generation) capabilities. It is trained through supervised fine-tuning and preference to match human preferences for usefulness and safety. Additionally, the model has conversational tooling capabilities, enabling tool-based responses to be generated through specific prompt templates.

Main Features

1
Supports multi-language generation, training covers 23 languages, and evaluation covers 10 languages.
2
Have the ability to use conversation tools and generate an operation list in JSON format based on the available tools provided.
3
Supports generating citation-based responses based on provided document fragments, implementing Retrieval Enhancement Generation (RAG).
4
Optimized interaction with code, with the ability to request code snippets, code explanations or code rewrites.
5
Tools that support Hugging Face use the API.
6
Trained with supervised fine-tuning and preference training using an optimized Transformer architecture.
7
Supports a context length of 128K, suitable for processing long text.

How to Use

1
Install the transformers library, the version needs to be 4.39.1 or higher.
2
Load the model and tokenizer from Hugging Face.
3
Format the message using a specific prompt template.
4
Call the model generation function, setting the maximum number of new tokens and other parameters.
5
Decode the generated token to get text output.
6
For tool usage functionality, define the dialog input and available tools.
7
The rendering tool uses hints and calls model generation functions.
8
For reference-based generation, define the dialog input and related documentation.
9
Renders the reference-based build hint and calls the model build function.

Target Users

The C4AI Command R 08-2024 model is suitable for researchers, developers, and professionals interested in the fields of natural language processing, machine learning, and artificial intelligence. It can help users perform complex text generation tasks, such as automatic summarization, question answering systems, and multilingual dialogue system development.

Examples

Used to create a chatbot that can understand and generate text in multiple languages.

Develop a summarization tool that can automatically summarize long articles.

Build a question-and-answer system that provides precise information based on user queries.

Quick Access

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Categories

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› AI model
› AI language model

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