Qwen/Qwen2-1.5B-Instruct

Qwen/Qwen2-1.5B-Instruct is a 1.5 billion parameter instruction-tuned causal language model developed by Qwen, part of the Qwen2 series. Built on a Transformer architecture with SwiGLU activation and group query attention, it features an improved tokenizer for multilingual and code adaptability. This model demonstrates strong performance across language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning benchmarks, making it suitable for a wide range of general-purpose conversational AI applications.