AI and machine learning are more than software: they encompass data, configurations, documentation, and artefacts like model weights and biases. "Open source" should apply to the entire system, including models, parameters, and structural elements. However, it is unclear what mechanisms or licenses ensure that these models, particularly their parameters, are freely available for use, research, modification, and sharing. We recommend clear assertions accompanying parameter distribution to ensure that they remain freely accessible.