Provide GPAI Documentation and Information to Downstream AI System Providers

(b) draw up, keep up-to-date and make available information and documentation to providers of AI systems who intend to integrate the general-purpose AI model into their AI systems. Without prejudice to the need to observe and protect intellectual property rights and confidential business information or trade secrets in accordance with Union and national law, the information and documentation shall: (i) enable providers of AI systems to have a good understanding of the capabilities and limitations of the general-purpose AI model and to comply with their obligations pursuant to this Regulation; and (ii) contain, at a minimum, the elements set out in Annex XII;

2. The obligations set out in paragraph 1, points (a) and (b), shall not apply to providers of AI models that are released under a free and open-source licence that allows for the access, usage, modification, and distribution of the model, and whose parameters, including the weights, the information on the model architecture, and the information on model usage, are made publicly available. This exception shall not apply to general-purpose AI models with systemic risks.

The information referred to in Article 53(1), point (b) shall contain at least the following: 1. A general description of the general-purpose AI model including: (a) the tasks that the model is intended to perform and the type and nature of AI systems into which it can be integrated; (b) the acceptable use policies applicable; (c) the date of release and methods of distribution; (d) how the model interacts, or can be used to interact, with hardware or software that is not part of the model itself, where applicable; (e) the versions of relevant software related to the use of the general-purpose AI model, where applicable; (f) the architecture and number of parameters; (g) the modality (e.g. text, image) and format of inputs and outputs; (h) the licence for the model. 2. A description of the elements of the model and of the process for its development, including: (a) the technical means (e.g. instructions for use, infrastructure, tools) required for the general-purpose AI model to be integrated into AI systems; (b) the modality (e.g. text, image, etc.) and format of the inputs and outputs and their maximum size (e.g. context window length, etc.); (c) information on the data used for training, testing and validation, where applicable, including the type and provenance of data and curation methodologies.