unsloth/gemma-7b

The unsloth/gemma-7b model is an 8.5 billion parameter Gemma-based causal language model, optimized by Unsloth for efficient fine-tuning. It offers significantly faster training speeds and reduced memory consumption compared to standard methods. This model is primarily designed for developers looking to quickly and cost-effectively fine-tune Gemma for various downstream tasks.