TomGrc/FusionNet

TomGrc/FusionNet is a 10.7 billion parameter fine-tuned language model developed by TomGrc, designed to experiment with and leverage the "Fusion" method for enhanced performance. This model focuses on improving capabilities through fine-tuning, achieving an average score of 74.38 on the Open LLM Leaderboard. It is particularly suited for general English language tasks where performance optimization through novel methods is desired.