{
    "bomFormat": "CycloneDX",
    "specVersion": "1.6",
    "serialNumber": "urn:uuid:2e11cdec-907d-4d94-8fb5-403f936d9153",
    "version": 1,
    "metadata": {
        "timestamp": "2025-06-05T09:36:57.264117+00:00",
        "component": {
            "type": "machine-learning-model",
            "bom-ref": "neulab/Pangea-7B-0d33173e-6d50-5129-90ef-bfa7e3206cf4",
            "name": "neulab/Pangea-7B",
            "externalReferences": [
                {
                    "url": "https://huggingface.co/neulab/Pangea-7B",
                    "type": "documentation"
                }
            ],
            "modelCard": {
                "modelParameters": {
                    "architectureFamily": "qwen2",
                    "modelArchitecture": "LlavaQwenForCausalLM",
                    "datasets": [
                        {
                            "ref": "neulab/PangeaInstruct-d4b50450-cdc3-5403-9299-37c49a9cf3b7"
                        }
                    ]
                },
                "properties": [
                    {
                        "name": "base_model",
                        "value": "Qwen/Qwen2-7B-Instruct"
                    }
                ],
                "consideration": {
                    "useCases": "Pangea-7B follows the architecture of [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT).You could either (1) follow the same model loading procedures as of [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT), an example of loading Pangea-7B directly is shown in the Python code below, or (2) use our hf version of Pangea-7B: [Pangea-7B-hf]https://huggingface.co/neulab/Pangea-7B-hf"
                }
            },
            "authors": [
                {
                    "name": "neulab"
                }
            ],
            "licenses": [
                {
                    "license": {
                        "id": "Apache-2.0",
                        "url": "https://spdx.org/licenses/Apache-2.0.html"
                    }
                }
            ],
            "description": "- **Model:** Pangea is a fully open-source Multilingual Multimodal Multicultural LLM.- **Date:** Pangea-7B was trained in 2024.- **Training Dataset:** [6M PangeaIns](https://huggingface.co/datasets/neulab/PangeaInstruct).- **Architecture:** Pangea-7B follows the architecture of [LLaVA-NeXT](https://github.com/LLaVA-VL/LLaVA-NeXT), with a [Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) backbone.",
            "tags": [
                "safetensors",
                "qwen2",
                "am",
                "ar",
                "bg",
                "bn",
                "cs",
                "de",
                "el",
                "en",
                "es",
                "fa",
                "fr",
                "ga",
                "hi",
                "id",
                "ig",
                "it",
                "iw",
                "ja",
                "jv",
                "ko",
                "nl",
                "mn",
                "ms",
                "no",
                "pl",
                "pt",
                "ro",
                "ru",
                "si",
                "su",
                "sw",
                "ta",
                "te",
                "th",
                "tr",
                "uk",
                "ur",
                "vi",
                "zh",
                "dataset:neulab/PangeaInstruct",
                "arxiv:2410.16153",
                "base_model:Qwen/Qwen2-7B-Instruct",
                "base_model:finetune:Qwen/Qwen2-7B-Instruct",
                "license:apache-2.0",
                "region:us"
            ]
        }
    },
    "components": [
        {
            "type": "data",
            "bom-ref": "neulab/PangeaInstruct-d4b50450-cdc3-5403-9299-37c49a9cf3b7",
            "name": "neulab/PangeaInstruct",
            "data": [
                {
                    "type": "dataset",
                    "bom-ref": "neulab/PangeaInstruct-d4b50450-cdc3-5403-9299-37c49a9cf3b7",
                    "name": "neulab/PangeaInstruct",
                    "contents": {
                        "url": "https://huggingface.co/datasets/neulab/PangeaInstruct",
                        "properties": [
                            {
                                "name": "task_categories",
                                "value": "visual-question-answering, question-answering"
                            },
                            {
                                "name": "language",
                                "value": "am, ar, bg, bn, cs, de, el, en, es, fa, fr, ga, hi, id, ig, it, iw, ja, jv, ko, nl, mn, ms, no, pl, pt, ro, ru, si, su, sw, ta, te, th, tr, uk, ur, vi, zh"
                            },
                            {
                                "name": "size_categories",
                                "value": "1M<n<10M"
                            },
                            {
                                "name": "pretty_name",
                                "value": "PangeaIns"
                            },
                            {
                                "name": "license",
                                "value": "apache-2.0"
                            }
                        ]
                    },
                    "governance": {
                        "owners": [
                            {
                                "organization": {
                                    "name": "neulab",
                                    "url": "https://huggingface.co/neulab"
                                }
                            }
                        ]
                    },
                    "description": "\n\t\n\t\t\n\t\tPangeaInstruct\n\t\n\nPangea: A Fully Open Multilingual Multimodal LLM for 39 Languages\n\ud83c\uddea\ud83c\uddf9 \ud83c\uddf8\ud83c\udde6 \ud83c\udde7\ud83c\uddec \ud83c\udde7\ud83c\udde9 \ud83c\udde8\ud83c\uddff \ud83c\udde9\ud83c\uddea \ud83c\uddec\ud83c\uddf7 \ud83c\uddec\ud83c\udde7 \ud83c\uddfa\ud83c\uddf8 \ud83c\uddea\ud83c\uddf8 \ud83c\uddee\ud83c\uddf7 \ud83c\uddeb\ud83c\uddf7 \ud83c\uddee\ud83c\uddea \ud83c\uddee\ud83c\uddf3 \ud83c\uddee\ud83c\udde9 \ud83c\uddf3\ud83c\uddec \ud83c\uddee\ud83c\uddf9 \ud83c\uddee\ud83c\uddf1 \ud83c\uddef\ud83c\uddf5 \ud83c\uddee\ud83c\udde9 \ud83c\uddf0\ud83c\uddf7 \ud83c\uddf3\ud83c\uddf1 \ud83c\uddf2\ud83c\uddf3 \ud83c\uddf2\ud83c\uddfe \ud83c\uddf3\ud83c\uddf4 \ud83c\uddf5\ud83c\uddf1 \ud83c\uddf5\ud83c\uddf9 \ud83c\udde7\ud83c\uddf7 \ud83c\uddf7\ud83c\uddf4 \ud83c\uddf7\ud83c\uddfa \ud83c\uddf1\ud83c\uddf0 \ud83c\uddee\ud83c\udde9 \ud83c\uddf0\ud83c\uddea \ud83c\uddf9\ud83c\uddff \ud83c\uddf1\ud83c\uddf0 \ud83c\uddee\ud83c\uddf3 \ud83c\uddee\ud83c\uddf3 \ud83c\uddf9\ud83c\udded \ud83c\uddf9\ud83c\uddf7 \ud83c\uddfa\ud83c\udde6 \ud83c\uddf5\ud83c\uddf0 \ud83c\uddee\ud83c\uddf3 \ud83c\uddfb\ud83c\uddf3 \ud83c\udde8\ud83c\uddf3 \ud83c\uddf9\ud83c\uddfc\n\ud83c\udfe0 Homepage | \ud83e\udd16 Pangea-7B | \ud83d\udcca PangeaIns | \ud83e\uddea PangeaBench | \ud83d\udcbb Github | \ud83d\udcc4 Arxiv | \ud83d\udcd5 PDF | \ud83d\udda5\ufe0f Demo\n\n\nThis README provides comprehensive details on the PangeaIns dataset, which\u2026 See the full description on the dataset page: https://huggingface.co/datasets/neulab/PangeaInstruct."
                }
            ]
        }
    ]
}