aya-23-35B

Maintainer: CohereForAI

Total Score

147

Last updated 5/27/2024

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PropertyValue
Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model overview

The aya-23-35B model is a highly capable multilingual language model developed by CohereForAI. It builds on the Command family of models and the Aya Collection dataset to provide 23 languages of support, including Arabic, Chinese, English, French, German, and more. Compared to the smaller aya-23-8B version, the 35B model offers enhanced performance across a variety of tasks.

Model inputs and outputs

The aya-23-35B model takes text as input and generates text as output. It is a powerful autoregressive language model with advanced multilingual capabilities.

Inputs

  • Text: The model accepts textual inputs in any of the 23 supported languages.

Outputs

  • Generated text: The model will generate coherent text in the target language, following the provided input.

Capabilities

The aya-23-35B model excels at a wide range of language tasks, including generation, translation, summarization, and question answering. Its multilingual nature allows it to perform well across a diverse set of languages and use cases.

What can I use it for?

The aya-23-35B model can be used for a variety of applications that require advanced multilingual language understanding and generation. Some potential use cases include:

  • Content creation: Generating high-quality text in multiple languages for blogs, articles, or marketing materials.
  • Language translation: Translating text between the 23 supported languages with high accuracy.
  • Question answering: Providing informative responses to user questions across a wide range of topics.
  • Chatbots and virtual assistants: Building conversational AI systems that can communicate fluently in multiple languages.

Things to try

One interesting aspect of the aya-23-35B model is its ability to follow complex instructions and perform multi-step tasks. Try providing the model with a detailed prompt that requires it to search for information, synthesize insights, and generate a comprehensive response. The model's strong reasoning and grounding capabilities should shine in such scenarios.



This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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