Overview

rinna/youri-7b-instruction is a 7 billion parameter instruction-tuned language model developed by rinna. It is built upon the Llama2 architecture and is an instruction-tuned version of the base rinna/youri-7b model.

Key Capabilities & Features

• Instruction Following: Optimized to follow instructions, adopting the Alpaca input format for diverse task execution.
• Multilingual Fine-tuning: Fine-tuned on a curated subset of datasets, including:
  • Databricks Dolly (English and Japanese translations)
  • FLAN Instruction Tuning data (English and Japanese translations)
  • Izumi lab LLM Japanese dataset (specific sections like alt, aozora-txt, CourseraParallel, ParaNatCom, Tab-delimited_Bilingual_Sentence_Pairs, tanaka-corpus, wikinews, wordnet, yasashi-japanese).
• Japanese Language Proficiency: The inclusion of extensive Japanese datasets in its fine-tuning process suggests strong performance in Japanese language understanding and generation tasks.

Use Cases

This model is particularly suitable for applications requiring instruction-based text generation and understanding, especially within Japanese language contexts. Its fine-tuning on diverse instruction datasets makes it adaptable to various prompts and tasks.