A recent Reddit post has sparked a heated debate about the need to preserve and promote the development of large language models (LLMs) that can be run locally, without relying on external cloud infrastructures.

The Importance of Local Control

The #SaveLocalLLaMA initiative emphasizes how running LLMs on owned hardware offers significant advantages in terms of data sovereignty, privacy, and customization. Having complete control over the infrastructure allows companies to adhere to strict regulations (such as GDPR) and protect sensitive information from unauthorized access.

For those evaluating on-premise deployments, there are trade-offs to consider carefully. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.

Open Source Alternatives

The community highlights the importance of supporting open source projects that offer valid alternatives to proprietary cloud-hosted models. These projects, often led by independent developers and researchers, contribute to democratizing access to artificial intelligence and promoting innovation.