[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fTa2hW-Sqpq74BI9CwvvGPCtAatpgbmHD1fC7h-h6pEM":3},{"sections":4,"resultAnalysis":712,"id":713,"version":714,"newVersion":22,"label":715,"isPinned":22,"isShared":25,"sharingToken":716,"isRevision":22,"isBlockAnalysisShared":25,"nbReferences":717,"referenceId":718,"nbResponses":11,"parentId":9,"revisionDescription":714,"logoUrl":719,"description":720,"scheduleIntervalDays":9,"versionNumber":139,"dateCreation":721,"dateUpdate":722,"dateArchived":9,"archived":22,"type":723,"typeIndex":139,"typeColor":9,"typeIcon":9,"typeText":724,"creator":725,"objectType":733,"objectTypeIndex":229,"objectTypeColor":734,"objectTypeIcon":735,"objectTypeText":736,"defaultOwners":737,"tags":746,"privacyHubs":9,"nbQuestions":755,"nbQuestionsRequired":11,"nbDatas":11,"deadLineDays":9},[5,70,273,429,478,499,635,677],{"id":6,"slug":7,"label":8,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":13,"questions":14,"sections":69},"bd28b2a4-a072-443f-bc59-d69ee850dd5c","initial","General information",null,"Default",0,"SectionType_Default","\u003Cp>The objective of this section is to provide key identifying details about the GPAI model, including its legal provider, official name and version, evidence of authenticity, release dates, and any links to prior models if it results from modification or fine‑tuning, ensuring clear traceability and provenance.\u003C/p>",[15,26,34,45,55,62],{"id":16,"slug":17,"label":18,"tooltipHtml":19,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":23,"displayConditions":9,"answers":24,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"b04cc3cb-8226-438a-8410-b19ad5045d77","7899fffc-e42e-46c2-83a1-328e7dad83b4","Legal name for the model provider ","\u003Cp>Information  intended for the AI Office (AIO), national competent authorities (NCAs) and downstream providers (DPs).\u003C/p>","ShortText","Short text",false,[],[],true,{"id":27,"slug":28,"label":29,"tooltipHtml":30,"descriptionHtml":31,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":32,"displayConditions":9,"answers":33,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"1b1a5602-49f7-4f13-bd19-a06139ee3a68","54b10ecc-5bb6-4103-861d-2718f81b50f1","Model name \n\n","\u003Cp>Information intended for the AI Office (AIO), national competent authorities (NCAs) and downstream providers (DPs).\u003C/p>","\u003Cp>The unique identifier for the model (e.g. Llama 3.1-405B), including the identifier for the collection of models where applicable, and a list of the names of the publicly available versions of the concerned model covered by the Model Documentation.\u003C/p>",[],[],{"id":35,"slug":36,"label":37,"tooltipHtml":38,"descriptionHtml":39,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":43,"displayConditions":9,"answers":44,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"f352addc-bb00-40db-a2c8-dcdaa0fb6354","53b0fe9f-4305-485c-9079-92be15366deb","Model authenticity ","\u003Cp>Information intended for the AI Office (AIO), national competent authorities (NCAs).\u003C/p>","\u003Cp>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.\u003C/p>","RichText",2,"Text editor",[],[],{"id":46,"slug":47,"label":48,"tooltipHtml":49,"descriptionHtml":50,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":51,"typeIndex":52,"typeColor":9,"typeIcon":9,"typeText":51,"dynamicSelectType":9,"editableOptions":22,"complianceRules":53,"displayConditions":9,"answers":54,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"5ef6db8d-903c-408b-846d-7a91356890ee","c9130c46-c134-487c-84bc-4b337b494d0d","Release date\n","\u003Cp>Information  intended for the AI Office (AIO), national competent authorities (NCAs) and downstream providers (DPs).\u003C/p>\u003Cp>\u003C/p>","\u003Cp>Date when the model was first released through any distribution channel.\u003C/p>","Date",3,[],[],{"id":56,"slug":57,"label":58,"tooltipHtml":30,"descriptionHtml":59,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":51,"typeIndex":52,"typeColor":9,"typeIcon":9,"typeText":51,"dynamicSelectType":9,"editableOptions":22,"complianceRules":60,"displayConditions":9,"answers":61,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"48460302-bf80-4dd7-b5f3-0ce425d9adae","74f25223-34f6-487b-a1fc-091c130f73dd","Union market release date\n","\u003Cp>Date when the model was placed on the Union market.\u003C/p>",[],[],{"id":63,"slug":64,"label":65,"tooltipHtml":30,"descriptionHtml":66,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":67,"displayConditions":9,"answers":68,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"1ef3fa89-a2f0-4ccd-a827-84e4623dbe64","4e10b381-42fd-4c2d-91a0-ac80817c5a64","Model dependencies","\u003Cp> 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 the model name(s) (and relevant version(s) if more than one version has been placed on the market) of those model(s). Otherwise write ‘N/A’. \u003C/p>",[],[],[],{"id":71,"slug":72,"label":73,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":74,"questions":75,"sections":272},"570b9919-5b25-42f3-809c-b5c04f5ae7eb","model-properties","Model properties","\u003Cp>The objective of this section is to describe the model’s technical characteristics, including its architecture, core design specifications, and the reasoning behind these choices, as well as to detail its input and output modalities with corresponding size limits, and to state the model’s total parameter count and range, thereby providing a clear overview of its structure, capabilities, and scale.\u003C/p>",[76,83,90,119,133,159,180,191,213,223],{"id":77,"slug":78,"label":79,"tooltipHtml":30,"descriptionHtml":80,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":81,"displayConditions":9,"answers":82,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"5b418e8b-c33e-432c-8f72-5c76455b7c2e","f3e06713-42a5-4a3a-a9ca-ad33ee66f08f","Model architecture","\u003Cp>A general description of the model architecture, e.g. a transformer architecture [Recommended 20 words]\u003C/p>",[],[],{"id":84,"slug":85,"label":86,"tooltipHtml":38,"descriptionHtml":87,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":88,"displayConditions":9,"answers":89,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"1b7a4ed6-ea30-40a6-aca9-0387baf96bb1","0975cfe7-6349-4d30-9a4e-76f4cc911c65","Design specifications of the model ","\u003Cp>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. If any other please specify. [Recommended 100 words]\u003C/p>",[],[],{"id":91,"slug":92,"label":93,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":97,"displayConditions":9,"answers":98,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"b883ac20-2060-450d-a297-ee12769dee00","ce208512-2cb0-45f3-9a42-699eb2d4d95c","Input modalities","Multiselect",10,"Multiple select",[],[99,103,107,111,115],{"id":100,"color":9,"rangeValue":9,"label":101,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":102},"d2b3c913-6c59-4b59-baaf-6705a0cf1f3e","Text",[],{"id":104,"color":9,"rangeValue":9,"label":105,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":106},"b8f7ba1c-7093-41e5-ba2d-118b38963a00","Images",[],{"id":108,"color":9,"rangeValue":9,"label":109,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":110},"0130a293-088b-4f8c-aa5f-6a755b84e9bd","Audio",[],{"id":112,"color":9,"rangeValue":9,"label":113,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":114},"76cf7ddb-5a96-4e01-9af4-41b308df7a98","Video",[],{"id":116,"color":9,"rangeValue":9,"label":117,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":118},"c41e01fd-c8f8-4472-a5db-c2f1e1523d8d","Other",[],{"id":120,"slug":121,"label":122,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":123,"displayConditions":124,"answers":132,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"29e66c6a-ac4b-40ab-9c05-9779ea1f7f8a","a7951c20-51f7-4afd-9ec3-405bab5b478a","If any other please specify",[],{"id":125,"separator":126,"field":9,"operator":127,"value":9,"rules":128},"78674d9f-7aea-4f03-ad69-9def8918d7f2","And","equal",[129],{"id":130,"separator":9,"field":91,"operator":127,"value":116,"rules":131},"80a63110-4409-4f72-bab9-1fde8b211af6",[],[],{"id":134,"slug":135,"label":136,"tooltipHtml":137,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":138,"typeIndex":139,"typeColor":9,"typeIcon":9,"typeText":140,"dynamicSelectType":9,"editableOptions":22,"complianceRules":141,"displayConditions":142,"answers":158,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"3383abc6-8b7f-4572-ace4-1bcf65387722","f63bb664-2957-4f92-8af3-e1720b76a801","For each selected modality please include maximum input size or write 'N/A' if not defined","\u003Cp>Information intended for the AI Office (AIO) and downstream providers (DPs).\u003C/p>","LongText",1,"Long text",[],{"id":143,"separator":144,"field":9,"operator":127,"value":9,"rules":145},"0ad28162-4697-4582-8900-85e218443d34","Or",[146,149,152,155],{"id":147,"separator":9,"field":91,"operator":127,"value":100,"rules":148},"0953ea46-b963-4a6d-921c-6a55fcae2c22",[],{"id":150,"separator":9,"field":91,"operator":127,"value":104,"rules":151},"a1a11395-74fc-4a74-a501-d849aff535b1",[],{"id":153,"separator":9,"field":91,"operator":127,"value":108,"rules":154},"ef64093e-b938-4419-ada4-64bf4dc9e33d",[],{"id":156,"separator":9,"field":91,"operator":127,"value":112,"rules":157},"85f93d00-62a5-4a62-94d2-97a44e6b846a",[],[],{"id":160,"slug":161,"label":162,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":163,"displayConditions":9,"answers":164,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"9f627fea-154d-4ee2-abab-c1f62cdab994","e96215af-2a84-4e04-a15c-0ab04ca6d0c5","Output modalities",[],[165,168,171,174,177],{"id":166,"color":9,"rangeValue":9,"label":101,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":167},"f40b1eca-e5ee-4671-9bcf-539438262b50",[],{"id":169,"color":9,"rangeValue":9,"label":105,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":170},"7018bd0d-a495-4334-8188-7f8d5e13fcf7",[],{"id":172,"color":9,"rangeValue":9,"label":109,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":173},"048d6649-5caa-41ee-ba77-280cd8b71626",[],{"id":175,"color":9,"rangeValue":9,"label":113,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":176},"94f8debc-ca49-4b8b-afd5-1bb5aa6fd3b7",[],{"id":178,"color":9,"rangeValue":9,"label":117,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":179},"25b3d197-9245-4e0d-ad2a-0193d1d48cb0",[],{"id":181,"slug":182,"label":122,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":183,"displayConditions":184,"answers":190,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"785afda2-e9e4-40f4-ae84-ae3672148aef","c379e578-12aa-44ee-9bcd-c29ad4fc6638",[],{"id":185,"separator":126,"field":9,"operator":127,"value":9,"rules":186},"f76a977a-7ec6-4dce-8275-720b8d346b7a",[187],{"id":188,"separator":9,"field":160,"operator":127,"value":178,"rules":189},"506a6bc8-835c-43bd-bc69-e9ab727ef9d5",[],[],{"id":192,"slug":193,"label":194,"tooltipHtml":195,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":138,"typeIndex":139,"typeColor":9,"typeIcon":9,"typeText":140,"dynamicSelectType":9,"editableOptions":22,"complianceRules":196,"displayConditions":197,"answers":212,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"96b148f3-30ed-43a9-9325-b94d0c5268e6","c2791806-bf67-46e1-a365-96215804b97b","For each selected modality please include maximum output size or write 'N/A' if not defined","\u003Cp>Information intended for downstream providers (DPs).\u003C/p>",[],{"id":198,"separator":144,"field":9,"operator":127,"value":9,"rules":199},"bd40d52e-ba25-4e27-9ee1-4e512cf622de",[200,203,206,209],{"id":201,"separator":9,"field":160,"operator":127,"value":166,"rules":202},"99d6cae2-9dee-40a4-a4f8-946e39f25b32",[],{"id":204,"separator":9,"field":160,"operator":127,"value":169,"rules":205},"4e9ca33b-2561-4dca-877c-93ee96279e96",[],{"id":207,"separator":9,"field":160,"operator":127,"value":172,"rules":208},"c5ad28b0-2c06-4cd7-8afb-32de43d3f7fb",[],{"id":210,"separator":9,"field":160,"operator":127,"value":175,"rules":211},"bac0903e-41e8-4b67-986d-e9bc48ce0ae0",[],[],{"id":214,"slug":215,"label":216,"tooltipHtml":217,"descriptionHtml":218,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":221,"displayConditions":9,"answers":222,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"a437ab16-f9fa-4747-a083-e7cf0aea5314","14b90a44-43a2-4dbd-89ff-ac117fe453cd","Total model size ","\u003Cp>Information documented is intended for the AI Office (AIO)\u003C/p>","\u003Cp>The total number of parameters of the model, recorded with at least two significant figures, e.g. 7.3*10^10 parameters. \u003C/p>","Number",5,[],[],{"id":224,"slug":225,"label":226,"tooltipHtml":227,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":228,"typeIndex":229,"typeColor":9,"typeIcon":9,"typeText":230,"dynamicSelectType":9,"editableOptions":22,"complianceRules":231,"displayConditions":232,"answers":239,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"82787de6-dac2-4b14-95cd-f5d58114c5fe","689ab229-9af2-43ec-9c41-2d9bed6acfe6","The range within which the total number of parameters falls","\u003Cp>Information intended for the national competent authorities (NCAs) and downstream providers (DPs).\u003C/p>","SingleSelect",9,"Single select",[],{"id":233,"separator":126,"field":9,"operator":127,"value":9,"rules":234},"3448b499-4550-4b64-99d8-fc008193e642",[235],{"id":236,"separator":9,"field":214,"operator":237,"value":9,"rules":238},"320e29d5-fc45-4e97-a91d-2817f5665571","isNotNull",[],[240,244,248,252,256,260,264,268],{"id":241,"color":9,"rangeValue":9,"label":242,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":243},"ef65c8c2-2be4-4173-ae9f-ea4dbcab5dd9","1—500M",[],{"id":245,"color":9,"rangeValue":9,"label":246,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":247},"401f7047-7f7b-4852-b164-bed82b044d1f","500M—5B",[],{"id":249,"color":9,"rangeValue":9,"label":250,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":251},"cc59d789-d4a0-4179-bf54-58777a1bb437"," 5B—15B",[],{"id":253,"color":9,"rangeValue":9,"label":254,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":255},"4f97e5bc-b62f-49f4-acb2-eeeecd4f99f9","15B—50B",[],{"id":257,"color":9,"rangeValue":9,"label":258,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":259},"cb467ed1-ce43-4caf-a00b-a269ce3eb076","50B—100B",[],{"id":261,"color":9,"rangeValue":9,"label":262,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":263},"b467f285-96fb-458b-b385-a7f2896ce86f","100B—500B",[],{"id":265,"color":9,"rangeValue":9,"label":266,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":267},"06233afe-c4ef-4fcc-b249-75cf9ee41560","500B—1T",[],{"id":269,"color":9,"rangeValue":9,"label":270,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":271},"255507f4-bda3-48a8-af27-20e1b3d7c026",">1T",[],[],{"id":274,"slug":275,"label":276,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":277,"questions":278,"sections":279},"a82f65a7-26dd-4ae9-9877-5ab9a397eceb","methods-of-distribution-and-licenses","Methods of distribution and licenses","\u003Cp>The objective of this section is to specify how the model is distributed and licensed, detailing the channels through which it is made available both on the Union market and to downstream providers, the applicable licensing terms or absence thereof, and any additional assets provided alongside the model, in order to clarify access methods, usage rights, and related legal conditions.\u003C/p>",[],[280,326],{"id":281,"slug":282,"label":283,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":9,"questions":284,"sections":325},"6bb04425-93c7-48a1-9cea-713a8a72add3","distribution-channels","Distribution channels",[285],{"id":286,"slug":287,"label":283,"tooltipHtml":38,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":288,"typeIndex":289,"typeColor":9,"typeIcon":9,"typeText":290,"dynamicSelectType":9,"editableOptions":22,"complianceRules":291,"displayConditions":9,"answers":292,"listQuestions":293,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"73f2b660-ff35-4ce1-8e3b-77d367a9bf65","1aa77dae-b80b-4ef5-a1d7-d676e308a8c0","List",15,"List with multiple fields",[],[],[294,313,319],{"id":295,"slug":296,"label":297,"tooltipHtml":9,"descriptionHtml":298,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":299,"displayConditions":9,"answers":300,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"e910980a-801d-451d-b0ba-14d9b0c0dd33","02fd968d-7b66-4367-ba7b-758d3cd53680","Methods of distribution","\u003Cp>Select the methods of distribution through which the model has been made available for distribution or use in the Union market. \u003C/p>",[],[301,305,309],{"id":302,"color":9,"rangeValue":9,"label":303,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":304},"1851bc97-c653-4202-b139-4151c79490e5","Enterprise or subscription-based access through existing software suites or enterprise-specific solutions; ; ",[],{"id":306,"color":9,"rangeValue":9,"label":307,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":308},"0315967d-7935-470d-9186-df77ab1e0618","Public or subscription-based access through an API",[],{"id":310,"color":9,"rangeValue":9,"label":311,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":312},"fa3b22da-03d6-4945-8853-bf88f63ce645","Public or proprietary access through integrated development environments, device-specific applications or firmware, open-source repositories",[],{"id":314,"slug":315,"label":316,"tooltipHtml":9,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":138,"typeIndex":139,"typeColor":9,"typeIcon":9,"typeText":140,"dynamicSelectType":9,"editableOptions":22,"complianceRules":317,"displayConditions":9,"answers":318,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"e1bad5f1-71bc-47c1-9801-6b650a9e4115","ddc7432c-33b3-40aa-a229-f3c478c2bb0c","Other methods of distribution",[],[],{"id":320,"slug":321,"label":322,"tooltipHtml":9,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":323,"displayConditions":9,"answers":324,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"10ef6bd3-47d1-4ed2-a7a4-3c5a77211ce7","f0d7e3ee-1c9c-4947-bfda-ab859dcf7fb3","For each listed method of distribution, please include a link to information about how the model can be accessed, where available, and the level of model access (e.g. weights-level access, black-box access).",[],[],[],{"id":327,"slug":328,"label":329,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":9,"questions":330,"sections":428},"ce47dded-4f78-4d5a-b231-52e66dce12d9","license","License",[331,347,353,376,388],{"id":332,"slug":333,"label":334,"tooltipHtml":195,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":335,"displayConditions":9,"answers":336,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"de1eafb8-c6b7-4e00-8181-f1c7b5f99519","c9965292-4603-4f23-9aca-9adac03a5207","Select the methods of distribution through which the model can be made available to downstream providers :",[],[337,341,344],{"id":338,"color":9,"rangeValue":9,"label":339,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":340},"ca970a40-5fd9-45d5-8bf3-919595b9dc8f","Enterprise or subscription-based access through existing software suites or enterprise-specific solutions",[],{"id":342,"color":9,"rangeValue":9,"label":307,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":343},"8ec752aa-a373-4c04-a9ce-6b31a3b43242",[],{"id":345,"color":9,"rangeValue":9,"label":311,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":346},"27e813d4-9fba-413c-be6e-305635fa1023",[],{"id":348,"slug":349,"label":350,"tooltipHtml":38,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":351,"displayConditions":9,"answers":352,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"0ff39f0d-d1bc-4d7e-83c3-bd42f5cfdb29","72469761-31bc-44ec-8183-e20dfb715eb7","Provide a link to model license(s) (otherwise provide a copy of the license(s) upon a request from the AIO) or indicate that no model license exists",[],[],{"id":354,"slug":355,"label":356,"tooltipHtml":9,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":357,"min":9,"max":9,"regex":9,"unit":9,"type":228,"typeIndex":229,"typeColor":9,"typeIcon":9,"typeText":230,"dynamicSelectType":9,"editableOptions":22,"complianceRules":358,"displayConditions":9,"answers":359,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"9d828a8f-765c-4b27-b406-a02668b00e15","e2d49499-7688-46b8-b330-165b55e24aee","Select the type or category of licence(s) under which the model can be made available to downstream providers :","Information intended for downstream providers (DPs).",[],[360,364,368,372],{"id":361,"color":9,"rangeValue":9,"label":362,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":363},"5739ace4-9e25-470a-8258-e041a61179d0"," Free and open source licences where models can be openly shared and providers can freely access, use, modify and redistribute them or modified versions thereof",[],{"id":365,"color":9,"rangeValue":9,"label":366,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":367},"b2c92426-7b49-4143-b16a-6a7d34218ff2","Less permissive licenses that impose certain restrictions on the use (e.g. to ensure ethical use)",[],{"id":369,"color":9,"rangeValue":9,"label":370,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":371},"b8492cdc-d063-426d-b733-87d7c6d57dd5","Proprietary licences that restrict access to the model's source code and impose limitations on usage, distribution, and modification",[],{"id":373,"color":9,"rangeValue":9,"label":374,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":375},"3fb14ad7-1f57-4353-8221-d280fe66088a","No license",[],{"id":377,"slug":378,"label":379,"tooltipHtml":195,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":380,"displayConditions":381,"answers":387,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"80002bbe-649b-4817-9088-c291696b9843","6ca8fe64-7bda-4d76-9ad9-0517d7601f6a","Describe how access to the model is provided for downstream use, such as through terms of service.",[],{"id":382,"separator":126,"field":9,"operator":127,"value":9,"rules":383},"161f9fc6-ba97-4c08-a5b6-35d81909bed8",[384],{"id":385,"separator":9,"field":354,"operator":127,"value":373,"rules":386},"e846c149-1b53-43df-becf-17c30189308c",[],[],{"id":389,"slug":390,"label":391,"tooltipHtml":392,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":288,"typeIndex":289,"typeColor":9,"typeIcon":9,"typeText":290,"dynamicSelectType":9,"editableOptions":22,"complianceRules":393,"displayConditions":9,"answers":394,"listQuestions":395,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"f35229af-23b4-4128-b353-3ca519e65ddd","66372b09-83db-4af2-8f65-f76a5a3b3a14","Additional assets","\u003Cp>Information documented is intended for the AI Office (AIO) and downstream providers (DPs).\u003C/p>",[],[],[396,422],{"id":397,"slug":398,"label":399,"tooltipHtml":9,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":400,"displayConditions":9,"answers":401,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"a3d0c7da-5af6-4047-b4a1-4e08fd72e158","407c580e-530d-4c2c-8c93-827e628aff05","Select the additional assets if any that are made available",[],[402,406,410,414,418],{"id":403,"color":9,"rangeValue":9,"label":404,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":405},"6a8a941e-484e-47ef-8ec0-e7428431ca55","Training data",[],{"id":407,"color":9,"rangeValue":9,"label":408,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":409},"a8bbe87b-68e9-4c16-9224-92c3023451a7","Data processing code",[],{"id":411,"color":9,"rangeValue":9,"label":412,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":413},"0530c260-ef0b-412f-b392-d20eb4a1ce4e","Model training code",[],{"id":415,"color":9,"rangeValue":9,"label":416,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":417},"fba255f5-8388-47dd-9b2e-ed97ce4429e1","Model inference code",[],{"id":419,"color":9,"rangeValue":9,"label":420,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":421},"25d00395-6b71-481c-b8d7-8a5efa25f8fe","Model evaluation code",[],{"id":423,"slug":424,"label":425,"tooltipHtml":9,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":426,"displayConditions":9,"answers":427,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"edce114c-5e94-4fc3-949c-dbb113e3c742","9164c543-05c0-4b98-a205-aa2506f73c05","Description of how each can be accessed and what licenses, if any, relate to their use",[],[],[],{"id":430,"slug":431,"label":432,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":433,"questions":434,"sections":477},"0ee933cf-a2e7-415a-9dad-254113a6bfda","use","Use","\u003Cp>The objective of this section is to define the framework for the model’s use by referencing its acceptable use policy, clarifying intended and prohibited applications, identifying the types of AI systems into which it can or cannot be integrated, and outlining the technical requirements so as to guide compliant, safe, and effective deployment.\u003C/p>",[435,442,449,456,463,470],{"id":436,"slug":437,"label":438,"tooltipHtml":30,"descriptionHtml":439,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":440,"displayConditions":9,"answers":441,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"46887e4b-b9fa-4766-b748-111495847eca","ffc02ab9-0099-40c8-bbba-0c0a10a597a7","Acceptable Use Policy","\u003Cp>Provide a link to the acceptable use policy applicable or indicate that none exists\u003C/p>",[],[],{"id":443,"slug":444,"label":445,"tooltipHtml":30,"descriptionHtml":446,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":447,"displayConditions":9,"answers":448,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"3a8ac3b0-8112-40a9-933f-98681b798bb8","afa86b28-fce9-47c1-9798-bd92a68b1bcd","Provide a description of the intended uses ","\u003Cp>A description of either :\u003C/p>\u003Cp>(i) the uses that are intended by the provider (e.g. productivity enhancement, translation, creative content generation, data analysis, data visualisation, programming assistance, scheduling, customer support, variety of natural language tasks, etc..) or\u003C/p>\u003Cp>(ii) the uses that are restricted and/or prohibited by the provider (beyond those prohibited by EU or international law, including Article 5 AI Act), in both cases as specified in the information supplied by the provider in the instructions for use, terms and conditions, promotional or sales materials and statements, as well as in the technical documentation. \u003C/p>\u003Cp>If specifying (i) or (ii) is incompatible with the nature of the license under which the model is provided, then 'N/A' can be entered. [Recommended 200 words]\u003C/p>",[],[],{"id":450,"slug":451,"label":452,"tooltipHtml":30,"descriptionHtml":453,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":454,"displayConditions":9,"answers":455,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"9841099d-3df4-4034-886c-e416c0f15af5","8bc13a36-6cb2-413f-abd7-0d2b3c735a0a","Provide a description of type and nature of AI systems in which the general-purpose AI model can be integrated","\u003Cp>A list or description of either \u003C/p>\u003Cp>(i) the type and nature of AI systems into which the general-purpose AI model can be integrated or \u003C/p>\u003Cp>(ii) the type and nature of AI systems into which the general-purpose AI model should not be integrated. \u003C/p>\u003Cp>Examples may include autonomous systems, conversational assistants, decision support systems, creative AI systems, predictive systems, cybersecurity, surveillance, or human-AI collaboration. [Recommended up to 300 words]\u003C/p>",[],[],{"id":457,"slug":458,"label":459,"tooltipHtml":195,"descriptionHtml":460,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":461,"displayConditions":9,"answers":462,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"90619ecd-13a1-4d99-8b3e-047532c8ed8b","54ed767a-a3ab-45cf-a664-dfd20579f322","Describe the technical means for model integration ","\u003Cp>A general description of the technical means (e.g. instructions for use, infrastructure, tools) required for the general-purpose AI model to be integrated into AI systems. [Recommended 100 words]\u003C/p>",[],[],{"id":464,"slug":465,"label":466,"tooltipHtml":195,"descriptionHtml":467,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":468,"displayConditions":9,"answers":469,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"cd3c2600-0ad3-482f-81c3-c7fe6533e055","3336907b-323a-408a-9773-f9f9514f9e87","Describe the required hardware ","\u003Cp>A description of any hardware, including the version, required to use the model, where applicable. If not applicable (e.g. model offered via an API), 'N/A' should be entered. [Recommended 100 words]\u003C/p>",[],[],{"id":471,"slug":472,"label":473,"tooltipHtml":195,"descriptionHtml":474,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":475,"displayConditions":9,"answers":476,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"af8a24a9-65d6-400f-8b33-2bd259f36f89","1a471b6c-132d-4c3b-bad6-9b49f9e76edf","Describe the required software ","\u003Cp>A description of any software, including the version, required to use the model where applicable. If not applicable, 'N/A' should be entered. [Recommended 100 words]\u003C/p>",[],[],[],{"id":479,"slug":480,"label":481,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":482,"questions":483,"sections":498},"7455e928-c8f7-4575-ad58-686309b506ca","training-process","Training process","\u003Cp>The objective of this section is to document the training process by outlining its main stages, methodologies, techniques, and optimisation goals, as well as the assumptions and parameter choices made, and to explain the rationale behind these key design decisions.\u003C/p>",[484,491],{"id":485,"slug":486,"label":487,"tooltipHtml":38,"descriptionHtml":488,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":489,"displayConditions":9,"answers":490,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"1f85094a-ecb7-4ed3-81f8-42d7204cfae7","d9e89d60-b4ed-4e17-a558-992098bfbea0","Describe the design specifications of the training process ","\u003Cp>A general description of the main steps or stages involved in the training process, including training methodologies and techniques, the key design choices, assumptions made and what the model is designed to optimise for, and the relevance of different parameters, as applicable. \u003C/p>\u003Cp>For example, “the model is initialized with randomly selected weights and optimised using gradient-based optimization via the Adam optimizer in two steps. First, the model is trained to predict the next word on a large pretraining corpus using the cross-entropy loss, passing over the data for a single epoch. Second, the model is post-trained on a dataset of human preferences for 10 epochs to align the model with human values and make it more useful in responding to user prompts“. \u003C/p>\u003Cp>[Recommended 400 words]\u003C/p>",[],[],{"id":492,"slug":493,"label":494,"tooltipHtml":38,"descriptionHtml":495,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":496,"displayConditions":9,"answers":497,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"2e6fe154-7761-4b24-9e01-3d40e700e9a4","13cfb453-c547-4111-9981-5896bf07ae7f","Provide a description of the decision rationale \n","\u003Cp>A description of how and why key design choices were made in model training. [Recommended 200 words]\u003C/p>",[],[],[],{"id":500,"slug":501,"label":502,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":503,"questions":504,"sections":634},"39913244-4a13-4d82-b92b-c7666eed5688","information-on-the-data-used-for-training-testing-and-validation","Information on the data used for training, testing, and validation","\u003Cp>The objective of this section is to provide a complete overview of the data used for training, testing, and validating the model by identifying its types or modalities and their provenance, explaining the methods for selecting the data. It also aims to quantify the datasets in terms of number of data points, define the scope and main characteristics of the data, outline the curation processes applied, and detail measures implemented to detect unsuitable sources and to identify and mitigate biases.\u003C/p>",[505,526,538,571,582,590,598,606,613,620,627],{"id":506,"slug":507,"label":508,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":509,"displayConditions":9,"answers":510,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"7a61c652-b48c-4931-a813-0b9392404280","4b4e22f2-f5c1-4b6c-acea-53ed8e853bb7","Select the data type/modality that apply :",[],[511,514,517,520,523],{"id":512,"color":9,"rangeValue":9,"label":101,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":513},"737abc33-16f3-4d3a-835e-b478f0accc13",[],{"id":515,"color":9,"rangeValue":9,"label":105,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":516},"b0f0d1e3-0d40-4e24-8bec-75651b174e04",[],{"id":518,"color":9,"rangeValue":9,"label":109,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":519},"eba95be8-d617-4506-b9f9-e0b7cf2b80b4",[],{"id":521,"color":9,"rangeValue":9,"label":113,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":522},"1fee43ac-afd3-42a1-9913-5f06301ce643",[],{"id":524,"color":9,"rangeValue":9,"label":117,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":525},"df4d79de-c5d3-4950-a790-437e9f08a06b",[],{"id":527,"slug":528,"label":529,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":530,"displayConditions":531,"answers":537,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"4a33c7ca-be16-429b-b592-6ac121f29d62","8a619def-8aad-4ed0-a93f-919737ecb21e","If any other please specify : ",[],{"id":532,"separator":126,"field":9,"operator":127,"value":9,"rules":533},"ce8620a2-eedd-4552-8f04-179068b15d46",[534],{"id":535,"separator":9,"field":506,"operator":127,"value":524,"rules":536},"8642ff4b-d543-4142-8623-65a47bc111d0",[],[],{"id":539,"slug":540,"label":541,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":94,"typeIndex":95,"typeColor":9,"typeIcon":9,"typeText":96,"dynamicSelectType":9,"editableOptions":22,"complianceRules":542,"displayConditions":9,"answers":543,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"e9a4c073-4fba-4415-9667-41377a9e3a2e","047593ad-1e77-4229-8221-c73ca416ce54","Select the data provenance that apply : ",[],[544,548,552,556,560,564,568],{"id":545,"color":9,"rangeValue":9,"label":546,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":547},"29ff2dd6-5dd0-4ad9-98e6-fcd450082f2d","Web crawling",[],{"id":549,"color":9,"rangeValue":9,"label":550,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":551},"edef0a15-4855-471b-8992-46b88f63c08d","Private non-publicly available datasets obtained from third parties",[],{"id":553,"color":9,"rangeValue":9,"label":554,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":555},"3c2f6bfc-18ba-495f-8673-e962d32b000b","User data",[],{"id":557,"color":9,"rangeValue":9,"label":558,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":559},"741c02fe-d6d2-4f9b-af8a-5a3970af8afa","Publicly available datasets",[],{"id":561,"color":9,"rangeValue":9,"label":562,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":563},"98ae62b7-adbe-461b-be0a-dd27ab7b306b","Data collected through other means",[],{"id":565,"color":9,"rangeValue":9,"label":566,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":567},"e6120e3d-0019-4419-9640-a141e93011f1","Synthetic data that is not publicly accessible (when created directly by or on behalf of the provider)",[],{"id":569,"color":9,"rangeValue":9,"label":117,"slug":9,"description":9,"score":9,"nonApplicable":22,"tooltip":9,"goodAnswer":22,"redFlag":22,"impact":9,"probability":9,"taskSuggestions":570},"a057ca83-15dd-42c9-bcac-9460261429c0",[],{"id":572,"slug":573,"label":529,"tooltipHtml":30,"descriptionHtml":9,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":20,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":21,"dynamicSelectType":9,"editableOptions":22,"complianceRules":574,"displayConditions":575,"answers":581,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"366b736a-a22c-4458-a171-b1ca037170a6","1559baf8-67df-4e57-aeff-c712f2f1cd6a",[],{"id":576,"separator":126,"field":9,"operator":127,"value":9,"rules":577},"eed47386-a70a-44d4-af92-3281f67fd06e",[578],{"id":579,"separator":9,"field":539,"operator":127,"value":569,"rules":580},"b3525ed0-f615-421c-9af5-149df7eeeecf",[],[],{"id":583,"slug":584,"label":585,"tooltipHtml":586,"descriptionHtml":587,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":588,"displayConditions":9,"answers":589,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"99cb0644-75b0-4f85-92aa-6711e8dcc787","61d03b47-b274-485a-8310-d5d9aa78ee2a","Describe how data was obtained and selected \n\n","\u003Cp>Information intended for the AI Office (AIO) and national competent authorities (NCAs).\u003C/p>","\u003Cp>A description of the methods used to obtain and select training, testing, and validation data, including methods and resources used to annotate data, and models and methods used to generate synthetic data where applicable. \u003C/p>\u003Cp>For data previously obtained from third parties, a description of how the provider obtained the rights to the data if not already disclosed in the public summary of training data published in accordance with Article 53(1), point (d). \u003C/p>\u003Cp>[Recommended 300 words]\u003C/p>",[],[],{"id":591,"slug":592,"label":593,"tooltipHtml":594,"descriptionHtml":595,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":596,"displayConditions":9,"answers":597,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"3af1787d-3c57-46e6-8cf1-e9c2889a05be","3bf555c4-6966-43ba-9454-2824c1367a59","Provide a number of data points ","\u003Cp>Information intended for the national competent authorities (NCAs).\u003C/p>","\u003Cp>The size (in number of data points) of the training, testing, and validation data respectively, together with the definition of the unit of data points (e.g. tokens or documents, images, hours of video or frames), recorded \u003Cstrong>with at least one significant figure\u003C/strong> (e.g. 3x10^13 tokens).\u003C/p>",[],[],{"id":599,"slug":600,"label":601,"tooltipHtml":602,"descriptionHtml":603,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":604,"displayConditions":9,"answers":605,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"d8668fc7-e5d3-4a73-aae5-21bc335ae462","65ade069-cb95-46d1-b0df-bc38b25c32ba","Provide a number of data points","\u003Cp>Information intended for the AI Office (AIO).\u003C/p>","\u003Cp>The size (in number of data points) of the training, testing, and validation data respectively, together with the definition of the unit of data points (e.g. tokens or documents, images, hours of video or frames), recorded \u003Cstrong>with at least two significant figures\u003C/strong> (e.g. 1.5x10^13 tokens).\u003C/p>",[],[],{"id":607,"slug":608,"label":609,"tooltipHtml":586,"descriptionHtml":610,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":611,"displayConditions":9,"answers":612,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"c5414da1-3303-4ebb-a8ac-0478a35dfbd0","b0912b94-dd90-4aeb-9cfd-fe2a4ab6ee31","Describe the scope and main characteristics ","\u003Cp>A general description of the scope and main characteristics of the training, testing and validation data, such as domain (e.g. healthcare, science, law,...), geography (e.g. global, restricted to a certain region,...), language, modality coverage, where applicable. [Recommended 200 words]\u003C/p>",[],[],{"id":614,"slug":615,"label":616,"tooltipHtml":30,"descriptionHtml":617,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":618,"displayConditions":9,"answers":619,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"44aed228-5f2f-4a9c-8139-e79cf402333e","e3e5b813-63cb-47bf-9212-ffb654a1357e","Describe the data curation methodologies ","\u003Cp>General description of the data processing involved in transforming the acquired data into training, testing, and validation data for the model, such as cleaning (e.g. filtering out irrelevant content such as advertisements), normalisation (e.g. tokenizing), augmentation (e.g. back-translation). [Recommended 300 words]\u003C/p>",[],[],{"id":621,"slug":622,"label":623,"tooltipHtml":586,"descriptionHtml":624,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":625,"displayConditions":9,"answers":626,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"60693a35-1d0a-459e-a6ed-3f03d13b18ef","37a7243f-9d13-4e42-8bde-8a069ec1b96f","Describe the measures to detect unsuitability of data sources ","\u003Cp>A description of any methods implemented in data acquisition or processing, if any, to detect the presence of unsuitable data sources considering the model’s intended uses, including but not limited to illegal content, child sexual abuse material (CSAM), non-consensual intimate imagery (NCII), and personal data leading to its unlawful processing. [Recommended 400 words] \u003C/p>",[],[],{"id":628,"slug":629,"label":630,"tooltipHtml":586,"descriptionHtml":631,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":632,"displayConditions":9,"answers":633,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"b5ff9dd9-5e3c-45a9-85fb-cf46d1264a07","193647eb-6191-4820-a0b8-a2b15f591f3b","Describe the measures to detect identifiable biases \n\n","\u003Cp>A description of any methods implemented in data acquisition or processing, if any, to address the prevalence of identifiable biases in the training data. [Recommended 200 words] \u003C/p>",[],[],[],{"id":636,"slug":637,"label":638,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":639,"questions":640,"sections":676},"e07c8a27-531f-48fc-8a29-f7f6acc521ff","computational-resources-during-training","Computational resources (during training)","\u003Cp>The objective of this section is to document the computational resources used during model training by specifying the training duration in both elapsed time and hardware usage, quantifying the total computation in floating point operations with appropriate precision, and explaining the methodology applied to measure or estimate these values.\u003C/p>",[641,649,656,663,669],{"id":642,"slug":643,"label":644,"tooltipHtml":645,"descriptionHtml":646,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":647,"displayConditions":9,"answers":648,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"83757364-c80f-415b-830e-53ad6cacd93c","41ba5470-4e5c-4254-8212-d35bd02872f6","Describe the training time ","\u003Cp>Information intended for national competent authorities (NCAs).\u003C/p>","\u003Cp>A description of what period is being measured along with the range that its duration falls under, within the following ranges: less than 1 month, 1—3 months, 3—6 months, more than 6 months. \u003C/p>",[],[],{"id":650,"slug":651,"label":652,"tooltipHtml":602,"descriptionHtml":653,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":654,"displayConditions":9,"answers":655,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"d01383dd-de07-43ed-97c7-bfd69d3b5c76","8837d53c-7509-4be1-9bb6-5218b6f23672","Provide a description of what period is being measured ","\u003Cp>A description of what period is being measured along with the duration in wall clock days (e.g. 9x10^1 days) and in hardware days (e.g. 4x10^5 Nvidia A100 days and 2x10^5 Nvidia H100 days), both recorded with at least one significant figure.\u003C/p>",[],[],{"id":657,"slug":658,"label":659,"tooltipHtml":645,"descriptionHtml":660,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":661,"displayConditions":9,"answers":662,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"cdbbca48-004b-4eb2-b899-16062c8a7cac","21839800-3401-41f3-95e7-238a091b0dff","Measured or estimated amount of computation used for training ","\u003Cp>Reported in floating point operations and recorded up to its order of magnitude (e.g. 10^24 floating point operations).\u003C/p>",[],[],{"id":664,"slug":665,"label":659,"tooltipHtml":602,"descriptionHtml":666,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":667,"displayConditions":9,"answers":668,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"06ceb4c1-29d6-4efe-899d-0a607b45bc80","360d198e-edcf-4e4a-a700-c31013098134","\u003Cp>Reported in computational operations and recorded with at least two significant figures (e.g. 2.4x10^25 floating point operations).\u003C/p>",[],[],{"id":670,"slug":671,"label":672,"tooltipHtml":586,"descriptionHtml":673,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":674,"displayConditions":9,"answers":675,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"02d18558-246e-46e2-acfa-f1e54f562fd8","aba9f5e1-a8e9-45d0-bd4c-66ce131f6d17","What is the measurement methodology ? ","\u003Cp>In the absence of a delegated act adopted to detail measurement and calculation methodologies, describe the methodology used to measure or estimate the amount of computation used for training.\u003C/p>",[],[],[],{"id":678,"slug":679,"label":680,"emoji":9,"type":10,"typeIndex":11,"typeColor":9,"typeIcon":9,"typeText":12,"descriptionHtml":681,"questions":682,"sections":711},"a107fab2-207e-4089-a5a0-8a68bcb4550c","energy-consumption-during-training-and-inference","Energy consumption (during training and inference)","\u003Cp>The objective of this section is to record and disclose the model’s energy consumption during both training and inference, including measured or estimated values in megawatt-hours with appropriate precision, the benchmarked computation required for inference, and the methodologies used for these measurements or estimates.\u003C/p>",[683,690,697,704],{"id":684,"slug":685,"label":686,"tooltipHtml":586,"descriptionHtml":687,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":219,"typeIndex":220,"typeColor":9,"typeIcon":9,"typeText":219,"dynamicSelectType":9,"editableOptions":22,"complianceRules":688,"displayConditions":9,"answers":689,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"8a47f29f-ce00-4876-a597-b866a44c0050","9722802a-acb0-4b23-b484-4be3b3d9ad74","What is the amount of energy used for training? ","\u003Cp>Measured or estimated amount of energy used for training, reported in Megawatt-hours and recorded with at least two significant figures (e.g. 1.0x102 MWh). If the amount of energy used for training cannot be estimated due to the lack of critical information from a compute or hardware provider, enter ‘N/A’. \u003C/p>",[],[],{"id":691,"slug":692,"label":693,"tooltipHtml":586,"descriptionHtml":694,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":695,"displayConditions":9,"answers":696,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"e65713dc-fc77-4b0e-b44e-25f36da2e8b6","1d69c0a0-8ee6-4d52-9f99-abbdd2eeddb9","What is your measurement methodology? ","\u003Cp>In the absence of a delegated act adopted to detail measurement and calculation methodologies, describe the methodology used to measure or estimate the amount of energy used for training. \u003C/p>\u003Cp>Where the energy consumption of the model is unknown, the energy consumption may be estimated based on information about computational resources used. \u003C/p>\u003Cp>If the amount of energy used for training cannot be estimated due to a lack of critical information from a compute or hardware provider, the provider should disclose the type of information they lack. \u003C/p>\u003Cp>[Recommended 100 words]\u003C/p>",[],[],{"id":698,"slug":699,"label":700,"tooltipHtml":586,"descriptionHtml":701,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":702,"displayConditions":9,"answers":703,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"91581fec-c170-4b9f-a154-1a175ba3656e","dde7769d-1e3f-402a-ab5f-87e5f865f5a3","What is the benchmarked amount of computation used for inference?  ","\u003Cp>Reported in floating point operations, recorded with at least two significant figures (e.g. 5.1x10^17 floating point operations).\u003C/p>\u003Cp> This item relates to energy consumption during inference, which makes up the “energy consumption of the model” (\u003Ca href=\"https://artificialintelligenceact.eu/annex/11/\">Annex XI, 2(e), AI Act\u003C/a>) together with energy consumption during training. Since energy consumption during inference depends on more than just the model itself, the information required for this item is limited to relevant information depending only on the model, namely computational resources used for inference.\u003C/p>",[],[],{"id":705,"slug":706,"label":707,"tooltipHtml":586,"descriptionHtml":708,"badResponseCommentHtml":9,"goodResponseCommentHtml":9,"placeholder":9,"min":9,"max":9,"regex":9,"unit":9,"type":40,"typeIndex":41,"typeColor":9,"typeIcon":9,"typeText":42,"dynamicSelectType":9,"editableOptions":22,"complianceRules":709,"displayConditions":9,"answers":710,"listQuestions":9,"required":22,"requiredJustification":22,"suggestTask":22,"riskEnabled":25,"native":22},"9627aa3b-6044-4e28-aae8-f185fa3a9378","1c4374da-f5e4-4209-8476-5379bbcafbc5","What is the measurement methodology? ","\u003Cp>In the absence of a delegated act adopted to detail measurement and calculation methodologies, provide a description of a computational task (e.g. generating 100000 tokens) and the hardware (e.g. 64 Nvidia A100s) used to measure or estimate the amount of computation used for inference.\u003C/p>",[],[],[],[],"2cd870a2-3944-4f4b-a7dc-937936de9cd5","1.0","Model Documentation Form (GPAI Code of Practice - Transparency Chapter)","TvGI5kqT8JWAmNRag4SPmkMKvTfW4n1fIqsY7Uot709zx9VF58YNmeivGYu1",6,"17f26ba3-a8cc-40ee-4ea1-08ddf4f36d0b","https://static.dastra.eu/tenant-3/audit/ETzLomMobwQYhW/capture-decran-2025-08-06-a-120334-150.png","This form includes all information required to be documented under Measure 1.1 of the Transparency chapter of the GPAI Code of Conduct. It allows GPAI providers to compile and maintain the required technical and compliance information in a consistent and structured manner.","2025-09-16T14:34:43.9384499","2026-01-20T08:34:10.2664545","Compliance","Cyver compliance",{"id":726,"displayName":727,"familyName":728,"givenName":729,"email":730,"active":25,"color":731,"avatarUrl":732,"tenantId":11},31,"Jérôme de Mercey","de Mercey","Jérôme","jerome.demercey@dastra.eu","#99C691","https://static.dastra.eu/tenant-10/avatar/31/Zuh7XFZe5EnnTo/design-sans-titre-2-150.png","AiSystem","#FF2FDA","ds-icon-ai-usage","AI system",[738],{"id":739,"displayName":740,"familyName":741,"givenName":742,"email":743,"active":25,"color":744,"avatarUrl":745,"tenantId":11},38,"Paul-Emmanuel Bidault","Bidault","Paul-Emmanuel","paulemmanuel.bidault@dastra.eu","#FA4115","https://static.dastra.eu/tenant-27/avatar/38/paul-emmanuel-bidault-150.jpg",[747],{"id":748,"label":749,"type":750,"typeIndex":229,"typeColor":751,"typeIcon":752,"typeText":753,"color":754},"8522aba8-44be-49ba-92d6-c83a9655d2ce","AI","AuditTemplate","#83d162","ds-icon-audit","Questionnaire template","#5AADAA",50]