How much can be squeezed from an LLM on CPU, without GPU - benchmark on an old Xeon

The 'on-prem-llm-cpu' project is a GitHub repository aimed at enabling the local deployment of large language models (LLM) without relying on cloud services. This allows for more private and independent data processing, a crucial factor in the landscape of information security. The repository provides detailed installation instructions and system requirements, making it easier to implement this solution. There are also usage examples included, which demonstrate how to effectively use local LLMs in practice. Additionally, the documentation features a FAQ section which can significantly help users get started. It's definitely worth taking a look at this repository if you're seeking local AI solutions without heavy reliance on cloud platforms.