Qwen/Qwen2-0.5B-Instruct

Qwen/Qwen2-0.5B-Instruct is a 0.5 billion parameter instruction-tuned causal language model from the Qwen2 series, developed by Qwen. Built on a Transformer architecture with SwiGLU activation and an improved tokenizer, it demonstrates enhanced performance across language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning. This model is designed for general-purpose instruction following, offering competitive capabilities in a compact size.