luffycodes/vicuna-class-shishya-ac-hal-13b-ep3
The luffycodes/vicuna-class-shishya-ac-hal-13b-ep3 is a 13 billion parameter language model, based on the Vicuna architecture, developed by luffycodes. This model is specifically fine-tuned as an education tutoring chatbot, leveraging learning science principles. It is designed for applications requiring interactive educational support and knowledge transfer, with a context length of 4096 tokens.
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Overview
luffycodes/vicuna-class-shishya-ac-hal-13b-ep3 is a 13 billion parameter language model built upon the Vicuna architecture. Developed by luffycodes, this model is a specialized education tutoring chatbot, integrating principles from learning science to enhance its interactive teaching capabilities. Its design is rooted in the research presented in the paper "CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles" (arXiv:2305.13272).
Key Capabilities
- Educational Tutoring: Designed to function as an interactive chatbot for educational purposes.
- Learning Science Integration: Incorporates principles from learning science to guide its conversational and teaching methodologies.
- Contextual Understanding: Supports a context length of 4096 tokens, allowing for sustained and coherent educational dialogues.
Good for
- Developing AI-powered educational assistants.
- Applications requiring interactive learning support.
- Research into AI models for pedagogical use cases.