Offline-ready, quantized LLaMA edge model for cybersecurity use cases ELISAR: An Adaptive Framework for Cybersecurity Risk Assessment Powered by GenAI - Sabri ALLANI, PhD – AI & Cybersecurity Expert - Karam BOU-CHAAYA, PhD – AI & Cybersecurity Expert - Helmi RAIS – Global Practice Lead, Expleo France May 31, 2025 This work will be published by Springer in the following book: ELISAR is a fine-tuned LoRA model based on Mistral-7B, designed for contextualized cybersecurity risk assessment using Retrieval-Augmented Generation and Agentic AI capabilities. The model targets real-world use cases including: ELISARCyberAIEdge7B-LoRA-GGUF is a LoRA-finetuned, GGUF-quantized version of the Mistral-7B…