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allenai
/
MolmoE-1B-0924

Image-Text-to-Text
Transformers
PyTorch
English
molmo
text-generation
multimodal
Mixture of Experts
olmo
olmoe
molmoe
custom_code
Model card Files
xet
Community
27
RiccardoDav commited on
Commit
55f096d
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verified ·
1 Parent(s): 69e3445

add AIBOM

Browse files

Dear model owner(s),
We are a group of researchers investigating the usefulness of sharing AIBOMs (Artificial Intelligence Bill of Materials) to document AI models – AIBOMs are machine-readable structured lists of components (e.g., datasets and models) used to enhance transparency in AI-model supply chains.

To pursue the above-mentioned objective, we identified popular models on HuggingFace and, based on your model card (and some configuration information available in HuggingFace), we generated your AIBOM according to the CyclonDX (v1.6) standard (see https://cyclonedx.org/docs/1.6/json/). AIBOMs are generated as JSON files by using the following open-source supporting tool: https://github.com/MSR4SBOM/ALOHA (technical details are available in the research paper: https://github.com/MSR4SBOM/ALOHA/blob/main/ALOHA.pdf).

The JSON file in this pull request is your AIBOM (see https://github.com/MSR4SBOM/ALOHA/blob/main/documentation.json for details on its structure).

Clearly, the submitted AIBOM matches the current model information, yet it can be easily regenerated when the model evolves, using the aforementioned AIBOM generator tool.

We open this pull request containing an AIBOM of your AI model, and hope it will be considered. We would also like to hear your opinion on the usefulness (or not) of AIBOM by answering a 3-minute anonymous survey: https://forms.gle/WGffSQD5dLoWttEe7.

Thanks in advance, and regards,
Riccardo D’Avino, Fatima Ahmed, Sabato Nocera, Simone Romano, Giuseppe Scanniello (University of Salerno, Italy),
Massimiliano Di Penta (University of Sannio, Italy),
The MSR4SBOM team

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  1. allenai_MolmoE-1B-0924.json +127 -0
allenai_MolmoE-1B-0924.json ADDED
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+ {
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+ "bomFormat": "CycloneDX",
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+ "specVersion": "1.6",
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+ "serialNumber": "urn:uuid:b374c80a-3be7-4159-ab78-2d78ffffdeba",
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+ "version": 1,
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+ "metadata": {
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+ "timestamp": "2025-06-05T09:36:27.616407+00:00",
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+ "component": {
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+ "type": "machine-learning-model",
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+ "bom-ref": "allenai/MolmoE-1B-0924-fa3b3569-ea6e-5505-8855-0af97b179252",
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+ "name": "allenai/MolmoE-1B-0924",
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+ "externalReferences": [
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+ {
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+ "url": "https://huggingface.co/allenai/MolmoE-1B-0924",
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+ "type": "documentation"
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+ }
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+ ],
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+ "modelCard": {
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+ "modelParameters": {
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+ "task": "image-text-to-text",
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+ "architectureFamily": "molmo",
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+ "modelArchitecture": "OLMoForCausalLM",
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+ "datasets": [
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+ {
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+ "ref": "allenai/OLMoE-mix-0924-9134d812-8ebc-5945-9ce1-043f54ccbce5"
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+ }
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+ ]
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+ },
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+ "properties": [
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+ {
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+ "name": "library_name",
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+ "value": "transformers"
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+ },
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+ {
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+ "name": "base_model",
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+ "value": "openai/clip-vit-large-patch14-336, allenai/OLMoE-1B-7B-0924"
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+ }
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+ ]
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+ },
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+ "authors": [
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+ {
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+ "name": "allenai"
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+ }
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+ ],
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+ "licenses": [
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+ {
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+ "license": {
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+ "id": "Apache-2.0",
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+ "url": "https://spdx.org/licenses/Apache-2.0.html"
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+ }
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+ }
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+ ],
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+ "tags": [
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+ "transformers",
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+ "pytorch",
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+ "molmo",
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+ "text-generation",
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+ "multimodal",
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+ "moe",
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+ "olmo",
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+ "olmoe",
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+ "molmoe",
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+ "image-text-to-text",
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+ "custom_code",
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+ "en",
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+ "dataset:allenai/OLMoE-mix-0924",
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+ "arxiv:2409.17146",
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+ "base_model:allenai/OLMoE-1B-7B-0924",
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+ "base_model:finetune:allenai/OLMoE-1B-7B-0924",
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+ "license:apache-2.0",
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+ "autotrain_compatible",
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+ "endpoints_compatible",
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+ "region:us"
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+ ]
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+ }
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+ },
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+ "components": [
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+ {
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+ "type": "data",
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+ "bom-ref": "allenai/OLMoE-mix-0924-9134d812-8ebc-5945-9ce1-043f54ccbce5",
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+ "name": "allenai/OLMoE-mix-0924",
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+ "data": [
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+ {
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+ "type": "dataset",
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+ "bom-ref": "allenai/OLMoE-mix-0924-9134d812-8ebc-5945-9ce1-043f54ccbce5",
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+ "name": "allenai/OLMoE-mix-0924",
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+ "contents": {
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+ "url": "https://huggingface.co/datasets/allenai/OLMoE-mix-0924",
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+ "properties": [
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+ {
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+ "name": "task_categories",
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+ "value": "text-generation"
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+ },
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+ {
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+ "name": "language",
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+ "value": "en"
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+ },
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+ {
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+ "name": "size_categories",
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+ "value": "1B<n<10B"
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+ },
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+ {
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+ "name": "pretty_name",
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+ "value": "OLMoE Mix (September 2024)"
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+ },
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+ {
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+ "name": "license",
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+ "value": "odc-by"
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+ }
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+ ]
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+ },
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+ "governance": {
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+ "owners": [
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+ {
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+ "organization": {
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+ "name": "allenai",
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+ "url": "https://huggingface.co/allenai"
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+ }
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+ }
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+ ]
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+ },
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+ "description": "\n\t\n\t\t\n\t\tOLMoE Mix (September 2024)\n\t\n\n\n\nThe following data mix was used to train OLMoE-1B-7B, a Mixture-of-Experts LLM with 1B active and 7B total parameters released in September 2024. \nThe base version of OLMoE-1B-7B can be found at this page, the SFT of OLMoE-1B-7B is available here, and a version combining SFT and DPO is available following this link.\n\n\t\n\t\t\n\t\n\t\n\t\tStatistics\n\t\n\n\n\t\n\t\t\nSubset\nTokens\nWords\nBytes\nDocs\n\n\n\t\t\nDCLM Baseline 1.0\n3.86 T\n3.38 T16.7 T\n2.95 B\n\n\nStarcoder\n101 B\n63.9 B\u2026 See the full description on the dataset page: https://huggingface.co/datasets/allenai/OLMoE-mix-0924."
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+ }
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+ ]
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+ }
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+ ]
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+ }