unsloth/gemma-7b-it

The unsloth/gemma-7b-it model is an 8.5 billion parameter instruction-tuned variant of Google's Gemma 7B architecture, optimized by Unsloth. It is specifically designed for efficient fine-tuning, offering significantly faster training times and reduced memory consumption compared to standard methods. This model is primarily intended for developers seeking to quickly and cost-effectively adapt Gemma 7B for various downstream tasks.