{
    "bomFormat": "CycloneDX",
    "specVersion": "1.6",
    "serialNumber": "urn:uuid:1888515b-dc4f-45ab-8c2d-b442c0d24934",
    "version": 1,
    "metadata": {
        "timestamp": "2025-06-05T09:37:53.860418+00:00",
        "component": {
            "type": "machine-learning-model",
            "bom-ref": "pankajmathur/orca_mini_3b-eafe2e45-5a59-5b43-9c97-86c388bed7b9",
            "name": "pankajmathur/orca_mini_3b",
            "externalReferences": [
                {
                    "url": "https://huggingface.co/pankajmathur/orca_mini_3b",
                    "type": "documentation"
                }
            ],
            "modelCard": {
                "modelParameters": {
                    "task": "text-generation",
                    "architectureFamily": "llama",
                    "modelArchitecture": "LlamaForCausalLM",
                    "datasets": [
                        {
                            "ref": "psmathur/alpaca_orca-0d13688f-ffdd-5fd5-9522-083dd42cdac9"
                        },
                        {
                            "ref": "psmathur/dolly-v2_orca-ec6d4ce8-7474-520d-ac1e-080f58c05b6c"
                        },
                        {
                            "ref": "psmathur/WizardLM_Orca-f084d080-d716-5a1d-bca0-b551ab1587aa"
                        }
                    ]
                },
                "properties": [
                    {
                        "name": "library_name",
                        "value": "transformers"
                    }
                ],
                "quantitativeAnalysis": {
                    "performanceMetrics": [
                        {
                            "slice": "dataset: ai2_arc, split: test, config: ARC-Challenge",
                            "type": "acc_norm",
                            "value": 41.55
                        },
                        {
                            "slice": "dataset: hellaswag, split: validation",
                            "type": "acc_norm",
                            "value": 61.52
                        },
                        {
                            "slice": "dataset: cais/mmlu, split: test, config: all",
                            "type": "acc",
                            "value": 26.79
                        },
                        {
                            "slice": "dataset: truthful_qa, split: validation, config: multiple_choice",
                            "type": "mc2",
                            "value": 42.42
                        },
                        {
                            "slice": "dataset: winogrande, split: validation, config: winogrande_xl",
                            "type": "acc",
                            "value": 61.8
                        },
                        {
                            "slice": "dataset: gsm8k, split: test, config: main",
                            "type": "acc",
                            "value": 0.08
                        }
                    ]
                }
            },
            "authors": [
                {
                    "name": "pankajmathur"
                }
            ],
            "licenses": [
                {
                    "license": {
                        "id": "CC-BY-NC-SA-4.0",
                        "url": "https://spdx.org/licenses/CC-BY-NC-SA-4.0.html"
                    }
                }
            ],
            "tags": [
                "transformers",
                "pytorch",
                "safetensors",
                "llama",
                "text-generation",
                "en",
                "dataset:psmathur/alpaca_orca",
                "dataset:psmathur/dolly-v2_orca",
                "dataset:psmathur/WizardLM_Orca",
                "arxiv:2306.02707",
                "license:cc-by-nc-sa-4.0",
                "model-index",
                "autotrain_compatible",
                "text-generation-inference",
                "endpoints_compatible",
                "region:us"
            ]
        }
    },
    "components": [
        {
            "type": "data",
            "bom-ref": "psmathur/alpaca_orca-0d13688f-ffdd-5fd5-9522-083dd42cdac9",
            "name": "psmathur/alpaca_orca",
            "data": [
                {
                    "type": "dataset",
                    "bom-ref": "psmathur/alpaca_orca-0d13688f-ffdd-5fd5-9522-083dd42cdac9",
                    "name": "psmathur/alpaca_orca",
                    "contents": {
                        "url": "https://huggingface.co/datasets/psmathur/alpaca_orca",
                        "properties": [
                            {
                                "name": "task_categories",
                                "value": "text-generation"
                            },
                            {
                                "name": "language",
                                "value": "en"
                            },
                            {
                                "name": "size_categories",
                                "value": "10K<n<100K"
                            },
                            {
                                "name": "license",
                                "value": "cc-by-nc-sa-4.0"
                            }
                        ]
                    },
                    "governance": {
                        "owners": [
                            {
                                "organization": {
                                    "name": "pankajmathur",
                                    "url": "https://huggingface.co/pankajmathur"
                                }
                            }
                        ]
                    },
                    "description": "Explain tuned Alpaca dataset ~52K created using approaches from Orca Research Paper. \nWe leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.\nThis helps student models like orca_mini_13b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).\nPlease see how the System prompt is added before each instruction.\n"
                }
            ]
        },
        {
            "type": "data",
            "bom-ref": "psmathur/dolly-v2_orca-ec6d4ce8-7474-520d-ac1e-080f58c05b6c",
            "name": "psmathur/dolly-v2_orca",
            "data": [
                {
                    "type": "dataset",
                    "bom-ref": "psmathur/dolly-v2_orca-ec6d4ce8-7474-520d-ac1e-080f58c05b6c",
                    "name": "psmathur/dolly-v2_orca",
                    "contents": {
                        "url": "https://huggingface.co/datasets/psmathur/dolly-v2_orca",
                        "properties": [
                            {
                                "name": "task_categories",
                                "value": "text-generation"
                            },
                            {
                                "name": "language",
                                "value": "en"
                            },
                            {
                                "name": "size_categories",
                                "value": "10K<n<100K"
                            },
                            {
                                "name": "license",
                                "value": "cc-by-nc-sa-4.0"
                            }
                        ]
                    },
                    "governance": {
                        "owners": [
                            {
                                "organization": {
                                    "name": "pankajmathur",
                                    "url": "https://huggingface.co/pankajmathur"
                                }
                            }
                        ]
                    },
                    "description": "Explain tuned Dolly-V2 dataset ~15K created using approaches from Orca Research Paper.\nWe leverage all of the 15 system instructions provided in Orca Research Paper to generate explain tuned datasets, in contrast to vanilla instruction tuning approaches used by original datasets.\nThis helps student models like orca_mini_13b, orca_mini_7b or orca_mini_3b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).\nPlease see how the System prompt is added before\u2026 See the full description on the dataset page: https://huggingface.co/datasets/pankajmathur/dolly-v2_orca."
                }
            ]
        },
        {
            "type": "data",
            "bom-ref": "psmathur/WizardLM_Orca-f084d080-d716-5a1d-bca0-b551ab1587aa",
            "name": "psmathur/WizardLM_Orca",
            "data": [
                {
                    "type": "dataset",
                    "bom-ref": "psmathur/WizardLM_Orca-f084d080-d716-5a1d-bca0-b551ab1587aa",
                    "name": "psmathur/WizardLM_Orca",
                    "contents": {
                        "url": "https://huggingface.co/datasets/psmathur/WizardLM_Orca",
                        "properties": [
                            {
                                "name": "task_categories",
                                "value": "text-generation"
                            },
                            {
                                "name": "language",
                                "value": "en"
                            },
                            {
                                "name": "size_categories",
                                "value": "10K<n<100K"
                            },
                            {
                                "name": "license",
                                "value": "cc-by-nc-sa-4.0"
                            }
                        ]
                    },
                    "governance": {
                        "owners": [
                            {
                                "organization": {
                                    "name": "pankajmathur",
                                    "url": "https://huggingface.co/pankajmathur"
                                }
                            }
                        ]
                    },
                    "description": "Explain tuned WizardLM dataset ~55K created using approaches from Orca Research Paper.\nWe leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets.\nThis helps student models like orca_mini_13b to learn thought process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version).\nPlease see how the System prompt is added before each instruction.\n"
                }
            ]
        }
    ]
}