Create fullmodelspec.json

fullmodelspec.json

@@ -0,0 +1,363 @@
+{
+  "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."
+    }
+  }
+}