unsloth/Qwen2-1.5B-Instruct

unsloth/Qwen2-1.5B-Instruct is a 1.5 billion parameter instruction-tuned causal language model developed by Unsloth. This model is specifically optimized for efficient fine-tuning, offering significantly faster training times and reduced memory consumption compared to standard methods. It is designed to be easily adaptable for various downstream tasks, making it suitable for developers looking to quickly customize Qwen2 models.