Open Weights
Description
OSI:
"Open Weights refer to the final weights and biases of a trained neural network. These values, once locked in, determine how the model interprets input data and generates outputs. When AI developers share these parameters under an OSI Approved License, they empower others to fine-tune, adapt, or deploy the model for their own projects.
However, Open Weights differ significantly from Open Source AI because they do not include:
- Training code – The scripts or frameworks used to create and curate the training dataset.
- Training dataset – The full dataset used for training, when legally possible. As an alternative, when distribution of the training dataset is not legally possible,
- Comprehensive data transparency – Full details about dataset composition, such as source domains, cleaning methods, or balancing techniques.
By withholding these critical elements, developers only provide a glimpse into the final state of the model, making it difficult for others to replicate, audit, or deeply understand the training process."