vandijklab/C2S-Scale-Gemma-2-2B

C2S-Scale-Gemma-2-2B is a 2.6 billion parameter decoder-only transformer model, built upon the Gemma-2 2B architecture and fine-tuned by van Dijk Lab (Yale), Google Research, and Google DeepMind. This model specializes in single-cell biology, processing single-cell RNA sequencing (scRNA-seq) data by converting it into "cell sentences." It excels at tasks such as cell type prediction, tissue classification, and generating biologically meaningful cell representations, serving as a powerful foundation for single-cell analysis.