The vectorzhou/gemma-2-2b-it-alpaca-cleaned-SFT model is a fine-tuned variant of the Gemma 2B instruction-tuned model. This model, developed by vectorzhou, is based on the Gemma architecture and has been further refined using an Alpaca-cleaned SFT dataset. It is designed for general instruction-following tasks, leveraging its 2 billion parameters to provide conversational and generative capabilities.
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