jong2222/gemma2-2b-it-dpo-tuned-and-merged

The jong2222/gemma2-2b-it-dpo-tuned-and-merged model is a 2.6 billion parameter instruction-tuned language model based on the Gemma2 architecture, further optimized through DPO (Direct Preference Optimization) and merged. This model is designed for general language understanding and generation tasks, leveraging its fine-tuned nature to follow instructions effectively. Its compact size makes it suitable for applications requiring efficient deployment and inference.