RakutenAI-7B-chat
Maintainer: Rakuten
51
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No 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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