| { |
| "Part1_EUAICodeOfPractice_TransparencyChapter": { |
| "GeneralInformation": { |
| "LegalNameProvider": { |
| "description": "Legal name for the model provider", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Legal name for the model provider." |
| }, |
| "ModelName": { |
| "description": "Unique identifier for the model and publicly available versions", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "The unique identifier for the model (e.g. Llama 3.1-405B), including identifiers for collections of models where applicable, and a list of publicly available versions." |
| }, |
| "ModelAuthenticity": { |
| "description": "Evidence establishing provenance and authenticity (e.g. hash, URL endpoint)", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "Evidence that establishes the provenance and authenticity of the model (e.g. a secure hash if binaries are distributed, or the URL endpoint in the case of a service), where available." |
| }, |
| "ReleaseDate": { |
| "description": "Date when the model was first released", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Date when the model was first released through any distribution channel." |
| }, |
| "UnionMarketReleaseDate": { |
| "description": "Date when the model was placed on the Union market", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Date when the model was placed on the Union market." |
| }, |
| "ModelDependencies": { |
| "description": "List of model dependencies or 'N/A'", |
| "value": [], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "If the model is the result of a modification or fine-tuning of one or more general-purpose AI models previously placed on the market, list those models. Otherwise write ‘N/A’." |
| } |
| }, |
| "ModelProperties": { |
| "Architecture": { |
| "description": "General description of the model architecture", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "A general description of the model architecture, e.g. a transformer architecture. [Recommended 20 words]." |
| }, |
| "DesignSpecifications": { |
| "description": "Description of key design specifications, rationale, and assumptions", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "A general description of the key design specifications of the model, including rationale and assumptions made, to provide basic insight into how the model was designed. [Recommended 100 words]." |
| }, |
| "InputModalities": { |
| "description": "Supported input modalities and maximum input sizes", |
| "options": [ |
| "Text", |
| "Images", |
| "Audio", |
| "Video", |
| "Other" |
| ], |
| "selected": [], |
| "maxSizes": { |
| "Text": "", |
| "Images": "", |
| "Audio": "", |
| "Video": "", |
| "Other": "" |
| }, |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Supported input modalities (Text, Images, Audio, Video, or Other). For each selected modality please include maximum input size or 'N/A' if not defined." |
| }, |
| "OutputModalities": { |
| "description": "Supported output modalities and maximum output sizes", |
| "options": [ |
| "Text", |
| "Images", |
| "Audio", |
| "Video", |
| "Other" |
| ], |
| "selected": [], |
| "maxSizes": { |
| "Text": "", |
| "Images": "", |
| "Audio": "", |
| "Video": "", |
| "Other": "" |
| }, |
| "AIO": true, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "Supported output modalities (Text, Images, Audio, Video, or Other). For each selected modality include maximum output size or 'N/A' if not defined." |
| }, |
| "TotalModelSize": { |
| "description": "Total number of parameters and parameter range", |
| "value": "", |
| "ranges": [ |
| "1—500M", |
| "500M—5B", |
| "5B—15B", |
| "15B—50B", |
| "50B—100B", |
| "100B—500B", |
| "500B—1T", |
| ">1T" |
| ], |
| "selectedRange": "", |
| "AIO": true, |
| "NCAs": false, |
| "DPs": false, |
| "explanation": "The total number of parameters of the model, recorded with at least two significant figures, and the range within which the total number of parameters falls." |
| } |
| }, |
| "DistributionAndLicenses": { |
| "DistributionChannels": { |
| "description": "List of methods of distribution with access levels", |
| "options": [ |
| "Enterprise/subscription software suites", |
| "Public/subscription API access", |
| "IDE/device-specific apps or firmware", |
| "Open-source repositories", |
| "Other" |
| ], |
| "selected": [], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "A list of the methods of distribution (enterprise, subscription, API, IDEs, firmware, open-source, etc.) through which the model has been made available in the Union market, with access level details." |
| }, |
| "DistributionChannelsForDPs": { |
| "description": "Methods of distribution available to downstream providers", |
| "options": [ |
| "Enterprise/subscription software suites", |
| "Public/subscription API access", |
| "IDE/device-specific apps or firmware", |
| "Open-source repositories", |
| "Other" |
| ], |
| "selected": [], |
| "AIO": false, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "List of the methods of distribution through which the model can be made available to downstream providers." |
| }, |
| "License": { |
| "description": "Link or copy of model license(s)", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "A link to model license(s) (or provide upon request by the AIO) or indicate that no model license exists." |
| }, |
| "LicenseForDPs": { |
| "description": "Types/categories of licenses for downstream use", |
| "options": [ |
| "Free and open source", |
| "Less permissive (restricted use)", |
| "Proprietary", |
| "No license (access via terms of service)" |
| ], |
| "selected": [], |
| "AIO": false, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "Types of licences for downstream use: open source, less permissive (restricted), proprietary, or absence of license (via terms of service)." |
| }, |
| "AdditionalAssets": { |
| "description": "List of additional assets with access and licenses", |
| "options": [ |
| "Training data", |
| "Processing code", |
| "Training code", |
| "Inference code", |
| "Evaluation code", |
| "Other" |
| ], |
| "selected": [], |
| "AIO": true, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "A list of additional assets (e.g. training data, training/inference code, evaluation code) that are made available, with details of how to access them and related licenses." |
| } |
| }, |
| "Use": { |
| "AcceptableUsePolicy": { |
| "description": "Link to acceptable use policy or statement that none exists", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Provide a link to the acceptable use policy (or attach to the document) or indicate that none exists." |
| }, |
| "IntendedUses": { |
| "description": "Description of intended and restricted uses", |
| "value": "", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "A description of intended or restricted uses as specified in instructions for use, terms and conditions, promotional materials, or technical documentation. [Recommended 200 words]." |
| }, |
| "IntegrationTypes": { |
| "description": "AI systems in which model can/cannot be integrated", |
| "examples": [ |
| "Autonomous systems", |
| "Conversational assistants", |
| "Decision support systems", |
| "Creative AI systems", |
| "Predictive systems", |
| "Cybersecurity", |
| "Surveillance", |
| "Human-AI collaboration" |
| ], |
| "selected": [], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Type and nature of AI systems in which the model can/cannot be integrated, e.g. autonomous systems, assistants, predictive systems. [Recommended 300 words]." |
| }, |
| "TechnicalMeansForIntegration": { |
| "description": "Technical means required for model integration", |
| "value": "", |
| "AIO": false, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "A general description of the technical means (instructions, infrastructure, tools) required for integration into AI systems. [Recommended 100 words]." |
| }, |
| "RequiredHardware": { |
| "description": "Hardware requirements (if any)", |
| "value": "", |
| "AIO": false, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "Description of hardware required to use the model, or 'N/A' if not applicable (e.g. API access). [Recommended 100 words]." |
| }, |
| "RequiredSoftware": { |
| "description": "Software requirements (if any)", |
| "value": "", |
| "AIO": false, |
| "NCAs": false, |
| "DPs": true, |
| "explanation": "Description of software required to use the model, or 'N/A' if not applicable. [Recommended 100 words]." |
| } |
| }, |
| "TrainingData": { |
| "DataType": { |
| "description": "Types/modalities of training, testing, validation data", |
| "options": [ |
| "Text", |
| "Images", |
| "Audio", |
| "Video", |
| "Other" |
| ], |
| "selected": [], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Modalities of data used in training, testing, and validation (Text, Images, Audio, Video, or Other)." |
| }, |
| "DataProvenance": { |
| "description": "Sources of data", |
| "options": [ |
| "Web crawling", |
| "Private third-party datasets", |
| "User data", |
| "Publicly available datasets", |
| "Other collected data", |
| "Synthetic data (non-public)" |
| ], |
| "selected": [], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": true, |
| "explanation": "Sources of data (Web crawl, private datasets, user data, public datasets, synthetic, or other)." |
| }, |
| "NumberOfDataPoints": { |
| "description": "Size of datasets with units and required precision", |
| "training": "", |
| "testing": "", |
| "validation": "", |
| "unit": "", |
| "precision": [ |
| "≥1 sig fig", |
| "≥2 sig fig" |
| ], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "The size of the datasets (training, testing, validation) with definition of the unit of data points (e.g. tokens, documents, images, hours of video), recorded with required precision." |
| } |
| }, |
| "ComputationalResources": { |
| "TrainingTime": { |
| "description": "Training duration", |
| "ranges": [ |
| "<1 month", |
| "1–3 months", |
| "3–6 months", |
| ">6 months" |
| ], |
| "selectedRange": "", |
| "precise": { |
| "wallClockDays": "", |
| "hardwareDays": "" |
| }, |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "Duration of training measured either as a range (<1 month, 1–3 months, 3–6 months, >6 months) or precisely in wall clock days and hardware days." |
| }, |
| "ComputationUsed": { |
| "description": "Amount of computation used for training", |
| "value": "", |
| "precision": [ |
| "Order of magnitude", |
| "≥2 sig fig" |
| ], |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "Measured or estimated amount of computation used for training, reported in FLOPs (order of magnitude or ≥2 significant figures)." |
| } |
| }, |
| "EnergyConsumption": { |
| "TrainingEnergy": { |
| "description": "Energy used for training (MWh)", |
| "value": "", |
| "precision": "≥2 sig fig", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "Measured or estimated energy used for training (MWh), recorded with ≥2 significant figures. Enter ‘N/A’ if not estimable." |
| }, |
| "InferenceComputation": { |
| "description": "Benchmarked computation for inference (FLOPs)", |
| "value": "", |
| "precision": "≥2 sig fig", |
| "AIO": true, |
| "NCAs": true, |
| "DPs": false, |
| "explanation": "Benchmarked computation for inference, reported in FLOPs with ≥2 significant figures." |
| } |
| } |
| }, |
| |
| "Part2_AIRedTeaming": { |
| "Approach 1": { |
| "description": "e.g. multilingual red teaming with baseline test questions for FSI", |
| "mode": "e.g., manual, automated, hybrid", |
| "language": "one or several - EN, IT, SP, HI, etc.", |
| "attacker_model": "provider and version", |
| "target_industry": "FSI, healthcare, all", |
| "AIsafety_ON": "YES or NO, depending on scenario 1) only usage of base model, 2) base model + AI safety layer (e.g. Azure)", |
| "results": { |
| "number_attacks": "total number of tested attacks", |
| "percentage_success_blocked": "total percentage of blocked attacks", |
| "description_failed_blocked": "plain language description of the type of effective red teaming attacks that won vs model", |
| "attack_examples": { |
| "prompt1": { |
| "input": "example prompt", |
| "type_of_attack": "type attack - injection" |
| }, |
| "prompt2": { |
| "input": "example prompt", |
| "type_of_attack": "type attack - role" |
| }, |
| "promptN": { |
| "input": "example prompt", |
| "type_of_attack": "type of attack" |
| } |
| }, |
| "qualitative_notes": "insights, future risks, pending evaluations, promising future paths" |
| } |
| }, |
| "Approach 2": {}, |
| "Approach N": {} |
| } |
| } |
|
|
