Risk level: general
Title Annexes
Annex XII — Transparency Information for General-Purpose AI Models
Transparency information referred to in Article 53(1), point (b) — technical documentation for providers of general-purpose AI models to downstream providers that integrate the model into their AI system 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)...
ANNEX XII
Transparency information referred to in Article 53(1), point (b) — technical documentation for
providers of general-purpose AI models to downstream providers that integrate the model into their
AI system
providers of general-purpose AI models to downstream providers that integrate the model into their
AI system
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;
integrated;
(b) the acceptable use policies applicable;
(c) the date of release and methods of distribution;
(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;
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;
(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.);
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.
provenance of data and curation methodologies.
ELI: http://data.europa.eu/eli/reg/2024/1689/oj 143/144
EN OJ L, 12.7.2024
EN OJ L, 12.7.2024
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