FreedomIntelligence/RAG-Instruct-Llama3-3B

RAG-Instructis a method for generating diverse and high-quality RAG instruction data. It synthesizes instruction datasets based on any source corpus, leveraging the following approaches: — Five RAG paradigms, which represent diverse query-document relationships to enhance model generalization across tasks. — Instruction simulation, which enriches instruction diversity and quality by utilizing the strengths of existing instruction datasets. Using this approach, we constructed RAG-Instruct, covering a wide range of RAG scenarios and tasks. Our RAG-Instruct-Llama3-3B is trained on RAG-Instruct data, which significantly enhances the RAG ability of LLMs, demonstrating remarkable improvements in RAG performance across various tasks. You can deploy it with tools like vllm or Sglang, or perform direct inference:

Модальности:
Генерация текста

Области применения:
Следование инструкциям

Задача: Генерация текста
Автор: FreedomIntelligence
Теги: en
Лайков: 3  |  Загрузок: 32

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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.