unsloth/gemma-2b-it is a 2.6 billion parameter instruction-tuned Gemma model developed by Unsloth. This model is optimized for efficient fine-tuning, offering significantly faster training speeds and reduced memory consumption compared to standard methods. It is primarily designed for developers seeking to quickly and cost-effectively adapt Gemma models for various downstream tasks.
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