A Reddit user has published a visualization of the current efficient frontier for open-source large language models. The chart defines efficiency as the benchmark score divided by the number of active parameters.
- The analysis filters out all models that do not lie on the Pareto frontier.
- The data is aggregated from artificialanalysis.ai, which serves as an overall indicator despite known imperfections.
- The goal is to identify the most parameter-efficient open models available.