Testing DeepSeek, Qwen, GLM, and other LLMs on advanced consumer hardware

In this article, the author shares practical experience in running modern Large Language Models (LLMs) such as DeepSeek, Qwen, and GLM on a standard home PC. The focus is on comparing various models, quantization methods, and software engines for local inference. The author analyzes system performance on advanced consumer hardware, providing test results and recommendations on selecting the most effective tools for local deployment. The article helps clarify which modern neural networks are truly practical to run on personal devices without relying on cloud resources. This guide is useful for enthusiasts and developers interested in local AI deployment and resource optimization for LLMs.