# Education Scenario Optimization

Qwen2.5-7B-Instruct is a 7B-parameter-scale Chinese instruction fine-tuned large language model based on the Qwen2.5 architecture, suitable for text generation and reasoning tasks.

Qwen2.5-1.5B-Instruct is a 1.5 billion parameter Chinese instruction fine-tuned model based on the Qwen2.5 architecture, suitable for text generation and reasoning tasks.

A multilingual instruction-following model fine-tuned based on Mistral-7B-Instruct-v0.2, supporting 101 languages

This model was established as a benchmark for the CS224n student project, based on the DistilBERT architecture and fine-tuned on the SQuAD2.0 dataset for question-answering tasks.