unsloth/gemma-2-2b-it

The unsloth/gemma-2-2b-it model is a 2.6 billion parameter instruction-tuned variant of Google's Gemma 2 architecture, developed by Unsloth. This model is specifically designed for efficient fine-tuning, offering significantly faster training times and reduced memory consumption compared to standard methods. It is optimized for developers looking to quickly adapt large language models for various downstream tasks on resource-constrained hardware.