Install K-Transformers to Run 600B+ AI Models Locally with Low VRAM
AI Summary
In this video, Fahd Mirza demonstrates how to locally install KTransformers, a flexible and extensible Python-centric framework, enabling users to run over 600 billion AI models with low VRAM requirements. The video details the installation process, features insights on optimizing resources for machine learning tasks, and is part of a broader discussion about leveraging advanced AI models without the need for high-end hardware. The video includes sponsorship by the Camel AI community and provides additional resources for viewers interested in AI technology.