add AIBOM
#6
by
sabato-nocera
- opened
- llamaindex_vdr-2b-multi-v1.json +142 -0
llamaindex_vdr-2b-multi-v1.json
ADDED
@@ -0,0 +1,142 @@
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:00ca3e26-e155-40c6-801d-90be620fd041",
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"version": 1,
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"metadata": {
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"timestamp": "2025-07-14T11:11:18.744037+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "llamaindex/vdr-2b-multi-v1-9a12af53-e3c0-557a-86ff-8b132947222a",
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"name": "llamaindex/vdr-2b-multi-v1",
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"externalReferences": [
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{
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"url": "https://huggingface.co/llamaindex/vdr-2b-multi-v1",
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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-to-text",
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"architectureFamily": "qwen2_vl",
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"modelArchitecture": "Qwen2VLForConditionalGeneration",
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"datasets": [
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{
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"ref": "llamaindex/vdr-multilingual-train-a46edb90-89ea-5b4e-a4aa-7bbe0726c573"
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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": "sentence-transformers"
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},
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{
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"name": "base_model",
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"value": "MrLight/dse-qwen2-2b-mrl-v1"
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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": "llamaindex"
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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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"sentence-transformers",
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"safetensors",
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"qwen2_vl",
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"image-to-text",
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"transformers",
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"Qwen2-VL",
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"en",
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"it",
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"fr",
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"de",
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"es",
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"dataset:llamaindex/vdr-multilingual-train",
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"arxiv:2406.11251",
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"base_model:MrLight/dse-qwen2-2b-mrl-v1",
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"base_model:finetune:MrLight/dse-qwen2-2b-mrl-v1",
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"license:apache-2.0",
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"text-generation-inference",
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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": "llamaindex/vdr-multilingual-train-a46edb90-89ea-5b4e-a4aa-7bbe0726c573",
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"name": "llamaindex/vdr-multilingual-train",
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"data": [
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{
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"type": "dataset",
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"bom-ref": "llamaindex/vdr-multilingual-train-a46edb90-89ea-5b4e-a4aa-7bbe0726c573",
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"name": "llamaindex/vdr-multilingual-train",
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"contents": {
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"url": "https://huggingface.co/datasets/llamaindex/vdr-multilingual-train",
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"properties": [
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{
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"name": "language",
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"value": "de, it, fr, es, en"
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},
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{
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"name": "size_categories",
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"value": "100K<n<1M"
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},
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{
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"name": "pretty_name",
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"value": "Multilingual Visual Document Retrieval"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: en {\"split\": \"train\", \"path\": \"en/train-*\"}"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: it {\"split\": \"train\", \"path\": \"it/train-*\"}"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: fr {\"split\": \"train\", \"path\": \"fr/train-*\"}"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: es {\"split\": \"train\", \"path\": \"es/train-*\"}"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: de {\"split\": \"train\", \"path\": \"de/train-*\"}"
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},
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{
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"name": "license",
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"value": "apache-2.0"
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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": "llamaindex",
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"url": "https://huggingface.co/llamaindex"
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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\tMultilingual Visual Document Retrieval Dataset\n\t\n\n\n\nThis dataset consists of 500k multilingual query image samples, collected and generated from scratch using public internet pdfs. The queries are synthetic and generated using VLMs (gemini-1.5-pro and Qwen2-VL-72B).\n\nIt was used to train the vdr-2b-multi-v1 retrieval multimodal, multilingual embedding model.\n\n\t\n\t\t\n\t\n\t\n\t\tHow it was created\n\t\n\nThis is the entire data pipeline used to create the Italian subset of this dataset. Each step\u2026 See the full description on the dataset page: https://huggingface.co/datasets/llamaindex/vdr-multilingual-train."
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}
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]
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}
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]
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}
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