unsloth/gemma-2-27b

The unsloth/gemma-2-27b model is a 27 billion parameter Gemma 2 series language model, directly quantized to 4-bit using bitsandbytes. Developed by Unsloth, it is specifically optimized for efficient fine-tuning, offering significantly faster training speeds and reduced memory consumption compared to standard methods. This model is ideal for developers seeking to quickly and cost-effectively fine-tune large language models on resource-constrained hardware.