Qwen2 1.5B Instruct (Free)

Qwen2-1.5B-Instruct is an instruction-tuned large language model in the Qwen2 series, with a parameter size of 1.5B. This model is based on the Transformer architecture and employs techniques such as the SwiGLU activation function, attention QKV bias, and group query attention. It excels in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning across multiple benchmark tests, surpassing most open-source models. Compared to Qwen1.5-1.8B-Chat, Qwen2-1.5B-Instruct shows significant performance improvements in tests such as MMLU, HumanEval, GSM8K, C-Eval, and IFEval, despite having slightly fewer parameters.