lhpku20010120/Omni-Edu-9B
OmniEdu-9B is a 9-billion parameter multimodal foundation model developed by Peking University and collaborators, fine-tuned from Qwen/Qwen3.5-9B-Base with a 32,768-token context length. It is specifically designed for K–12 learning and teaching, integrating subject competence, curriculum grounding, diagnostic reasoning, and pedagogical action. This model excels at educational tasks such as problem-solving, misconception identification, and providing instructional support.
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OmniEdu-9B: Open Foundation Model for K–12 Education
OmniEdu-9B is a 9-billion parameter multimodal model developed by Peking University and collaborators, specifically fine-tuned from Qwen/Qwen3.5-9B-Base for K–12 learning and teaching applications. It is part of a family of models (4B, 9B, 27B) aimed at connecting subject knowledge, curriculum understanding, learner diagnosis, and instructional support. The model was trained using full-parameter supervised fine-tuning on a diverse mixture of 69,999 instruction examples, including over 60,000 education-specific examples, with a 32,768-token training sequence length.
Key Capabilities
- Subject Competence: Solves K–12 problems across various subjects and input formats.
- Curriculum Grounding: Links questions, concepts, and solutions to curriculum standards and prerequisites.
- Diagnostic Reasoning: Identifies learner misconceptions, missing prerequisites, and knowledge gaps.
- Pedagogical Action and Scaffolding: Provides targeted feedback, asks guiding questions, explains concepts, and adapts instructional support.
Good for
- Educational Research: A foundation for exploring AI applications in K–12 education.
- Teacher-Assistance Tools: Developing tools to aid educators in lesson planning, student assessment, and personalized instruction.
- Learning-Support Prototypes: Creating prototypes for intelligent tutoring systems, adaptive learning platforms, and educational content generation.
- Multimodal Educational Tasks: Handling questions that involve both text and image inputs, such as explaining diagrams or solving visual problems.