Best Small AI Models for Local Use Under 2GB RAM

A Hacker News user is seeking recommendations for small language models (SLMs) that consume less than 2GB of RAM for a local project. The user specifically asks for models with under 2 billion parameters that can run on memory-constrained hardware. As of publication, the post has received no comments or suggestions yet.

For developers and hobbyists, such lightweight models could enable running AI tools on older laptops or budget devices. They would typically handle tasks like text generation, coding assistance, and simple chatbots without needing expensive GPUs. However, no community suggestions are available at this time.

If you're looking to try a small AI model, note that the requested constraint is under 2 billion parameters and under 3GB RAM. The Phi-2 model from Microsoft is a 2.7B parameter model and may exceed the user's stated limits. Always check a model's memory requirements before use.