RakutenAI-7B-chat

Maintainer: Rakuten

Total Score

51

Last updated 6/13/2024

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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

RakutenAI-7B-chat is a Japanese language model developed by Rakuten. It builds upon the Mistral model architecture and the Mistral-7B-v0.1 pre-trained checkpoint. Rakuten has extended the vocabulary from 32k to 48k to improve the character-per-token rate for Japanese. According to an independent evaluation by Kamata et al., the instruction-tuned and chat versions of RakutenAI-7B achieve the highest performance among similar models like OpenCalm, Elyza, Youri, Nekomata and Swallow on Japanese language benchmarks.

Model inputs and outputs

Inputs

  • Text prompts provided to the model in the form of a conversational exchange between a user and an AI assistant.

Outputs

  • Responses generated by the model to continue the conversation in a helpful and polite manner.

Capabilities

RakutenAI-7B-chat is capable of engaging in open-ended conversations and providing detailed, informative responses on a wide range of topics. Its strong performance on Japanese language benchmarks suggests it can understand and generate high-quality Japanese text.

What can I use it for?

RakutenAI-7B-chat could be used to power conversational AI assistants for Japanese-speaking users, providing helpful information and recommendations on various subjects. Developers could integrate it into chatbots, virtual agents, or other applications that require natural language interaction in Japanese.

Things to try

With RakutenAI-7B-chat, you can experiment with different types of conversational prompts to see how the model responds. Try asking it for step-by-step instructions, opinions on current events, or open-ended questions about its own capabilities. The model's strong performance on Japanese benchmarks suggests it could be a valuable tool for a variety of Japanese language applications.



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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RakutenAI-7B-chat is a Japanese language model developed by Rakuten. It builds upon the Mistral model architecture and the Mistral-7B-v0.1 pre-trained checkpoint. Rakuten has extended the vocabulary from 32k to 48k to improve the character-per-token rate for Japanese. According to an independent evaluation by Kamata et al., the instruction-tuned and chat versions of RakutenAI-7B achieve the highest performance among similar models like OpenCalm, Elyza, Youri, Nekomata and Swallow on Japanese language benchmarks. Model inputs and outputs Inputs Text prompts provided to the model in the form of a conversational exchange between a user and an AI assistant. Outputs Responses generated by the model to continue the conversation in a helpful and polite manner. Capabilities RakutenAI-7B-chat is capable of engaging in open-ended conversations and providing detailed, informative responses on a wide range of topics. Its strong performance on Japanese language benchmarks suggests it can understand and generate high-quality Japanese text. What can I use it for? RakutenAI-7B-chat could be used to power conversational AI assistants for Japanese-speaking users, providing helpful information and recommendations on various subjects. Developers could integrate it into chatbots, virtual agents, or other applications that require natural language interaction in Japanese. Things to try With RakutenAI-7B-chat, you can experiment with different types of conversational prompts to see how the model responds. Try asking it for step-by-step instructions, opinions on current events, or open-ended questions about its own capabilities. The model's strong performance on Japanese benchmarks suggests it could be a valuable tool for a variety of Japanese language applications.

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