Run DeepSeek-R1-0528 on CPU + GPU Locally without Losing Quality - Easy Tutorial
AI Summary
In this video, the presenter discusses the upgraded Deep Seek R1 model, which has gained recognition as the second-best large language model globally and the top spot in open source. The video demonstrates how to run the Deep Seek R1 model locally (both on CPU and GPU) using a library called IK Lama.cpp, optimized for consumer hardware. The installation process for IK Lama.cpp is outlined, including downloading the model and setting up an efficient inference stack using advanced quantization techniques. The video also highlights the model’s memory efficiency and its specialized multi-head latent attention architecture. Performance comparisons, VRAM consumption, and an exploration of the reasoning capabilities of the R1 model are discussed, culminating in a demonstration of its ability to answer complex questions effectively. The presenter emphasizes the importance of leveraging these advanced technologies to enhance AI capabilities while managing hardware limitations. Viewers are encouraged to like and subscribe for more content.