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Annex XI

Technical Documentation for General-Purpose AI Models

Plain-Language Summary

Lists technical information GPAI model providers must document and maintain under Article 53(1)(a), covering model architecture, training data, evaluation results and capabilities.

Keywords

GPAItechnical documentationArticle 53training datamodel architectureFLOPsfoundation model

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Annex XI — Technical Documentation referred to in Article 53(1)(a) and (b)(i)

Section 1 — Information to be provided by all providers of general-purpose AI models:
1. General description of the general-purpose AI model including:
   (a) the tasks the model is intended to perform;
   (b) the type and nature of the model, including number of parameters, architecture, training approach;
   (c) information about training compute (total FLOPs used during training);
   (d) the modalities of the model (text, image, video, audio, code, etc.).

2. Description of the data used for training, fine-tuning and alignment including:
   (a) information about the data sources and data curation methodology;
   (b) information about the scope and nature of web crawls;
   (c) data filtering techniques used.

3. Information on training of the model:
   (a) information on the computational infrastructure used;
   (b) information on techniques used for training.

4. Evaluation results including safety and security benchmarks.

5. Detailed description of the policies to identify and implement copyright compliance.