1. Background
   Open-weight AI models are models whose weights are publicly released, so anyone can download, run, study and build on them. Organisations such as Google, OpenAI and Alibaba release open-weight models under licences such as Apache 2.0.

Choosing a model for a real application means understanding both what the model is (its size, design, licence and stated limitations) and how well it performs on the tasks that matter. Published benchmarks give one view. Careful, hands-on testing by the people who will use the model gives another. This process is called model evaluation.

2. Objective
   Research and evaluate a set of open-weight models, using the free web playgrounds and the models’ published documentation, and present evidence-based findings and recommendations.