Detecting misinformation and harmful language in bilingual texts, particularly those com-bining Hindi and English, poses considerabledifficulties. The intricacies of mixed-languagecontent and limited available resources compli-cate this task even more. The proposed workfocuses on unraveling deceptive stories thatpropagate hate. We have developed an inno-vative attention-weight-tuned LoRA Adopter-based model for such Faux-Hate content de-tection. This work is conducted as a partof the ICON 2024 shared task on DecodingFake narratives in spreading Hateful stories.The LoRA-enhanced architecture secured 13thplace among the participating teams for TaskA.