{
    "framework": {
        "name": "Model Openness Framework",
        "version": "1.0",
        "date": "2024-12-15"
    },
    "release": {
        "name": "Amber",
        "date": "2025-05-22",
        "producer": "LLM360",
        "repository": "https://github.com/LLM360/amber-train",
        "huggingface": "https://huggingface.co/LLM360/Amber",
        "license": {
            "distribution": {
                "name": "Apache-2.0",
                "path": ""
            }
        },
        "components": [
            {
                "name": "Model architecture",
                "description": "Well commented code for the model's architecture"
            },
            {
                "name": "Data preprocessing code",
                "description": "Code for data cleansing, normalization, and augmentation"
            },
            {
                "name": "Training code",
                "description": "Code used for training the model"
            },
            {
                "name": "Inference code",
                "description": "Code used for running the model to make predictions"
            },
            {
                "name": "Evaluation code",
                "description": "Code used for evaluating the model"
            },
            {
                "name": "Supporting libraries and tools",
                "description": "Libraries and tools used in the model's development"
            },
            {
                "name": "Model parameters (Final)",
                "description": "Trained model parameters, weights and biases"
            },
            {
                "name": "Model parameters (Intermediate)",
                "description": "Trained model parameters, weights and biases"
            },
            {
                "name": "Datasets",
                "description": "Training, validation and testing datasets used for the model",
                "license": "MIT"
            },
            {
                "name": "Evaluation data",
                "description": "Data used for evaluating the model"
            },
            {
                "name": "Sample model outputs",
                "description": "Examples of outputs generated by the model"
            },
            {
                "name": "Model card",
                "description": "Model details including performance metrics, intended use, and limitations"
            },
            {
                "name": "Data card",
                "description": "Documentation for datasets including source, characteristics, and preprocessing details"
            },
            {
                "name": "Technical report",
                "description": "Technical report detailing capabilities and usage instructions for the model"
            },
            {
                "name": "Research paper",
                "description": "Research paper detailing the development and capabilities of the model",
                "component_path": "arxiv license"
            },
            {
                "name": "Evaluation results",
                "description": "The results from evaluating the model"
            }
        ]
    }
}