This episode offers a comprehensive overview of IBM's newly released Granite 4.0 family of open-source language models, highlighting their innovative hybrid Mamba-2/transformer architecture. This new design is consistently emphasized for its hyper-efficiency, leading to significantly lower memory requirements and faster inference speeds, particularly crucial for long-context and enterprise use cases like Retrieval-Augmented Generation (RAG) and tool-calling workflows. The models, available in various sizes (Micro, Tiny, Small) under the permissive Apache 2.0 license, are positioned as a competitive and trustworthy option, notably being the first open models to receive ISO 42001 certification. Furthermore, the community discussion reveals that while the models are exceptionally fast and memory-efficient, their accuracy or "smartness" in complex coding tasks may lag behind some competitors, though smaller variants are confirmed to run 100% locally in a web browser using WebGPU acceleration.