MuduoLLM: A Specialized Educational LLM

MuduoLLM is the first foundational educational large language model developed jointly by Beijing Normal University and TAL Education Group. It is built upon the Qwen2.5-14B-Instruct base architecture, featuring 14.8 billion parameters, and is uniquely aligned with China's new curriculum standards to support basic education.

Key Capabilities & Features

• Curriculum Alignment: Ensures high fidelity to educational content and precisely addresses student core competency cultivation and teacher professional growth.
• Educational AI Functions: Deeply integrates new curriculum knowledge and pedagogy to offer:
  • Knowledge-based intelligent problem-solving.
  • Inquiry-guided intelligent Q&A.
  • Context-driven intelligent question generation.
  • Competency-oriented lesson plan generation.
• Training Methodology: Enhanced through a multi-stage training process:
  • Domain-specific Pretraining: Injected educational corpora to improve semantic understanding.
  • Supervised Fine-Tuning (SFT): Optimized for specific educational scenarios like question generation, Q&A, and lesson plan creation.
  • Direct Preference Optimization (DPO): Utilized expert-annotated preference data to improve generation accuracy and adherence to educational ethics.
• Performance: Positioned as one of the most capable open-source foundational models in basic education, offering significant potential for further optimization.

Ideal Use Cases

• Developing AI tutors or educational assistants.
• Automating content generation for educational materials.
• Creating intelligent assessment tools.
• Supporting teacher professional development through AI-generated lesson plans and teaching aids.