Gunulhona/Gemma-3-4B

Gunulhona/Gemma-3-4B is a 4.3 billion parameter language model created by merging several specialized Gemma-based models using the Karcher Mean method. This merge combines capabilities from models focused on text-to-Cypher conversion, medical applications, translation, and document writing. It is designed to offer a versatile instruction-tuned model with a 32768 token context length, integrating diverse functionalities into a single compact package.