add AIBOM
#14
by
sabato-nocera
- opened
- Xkev_Llama-3.2V-11B-cot.json +123 -0
Xkev_Llama-3.2V-11B-cot.json
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{
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"bomFormat": "CycloneDX",
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"specVersion": "1.6",
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"serialNumber": "urn:uuid:4ec612d6-0e01-4883-8931-409c560fd885",
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"version": 1,
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"metadata": {
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"timestamp": "2025-07-21T08:19:51.846071+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "Xkev/Llama-3.2V-11B-cot-9618fe23-9615-538b-9533-c062d681ea6b",
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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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"externalReferences": [
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{
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"url": "https://huggingface.co/Xkev/Llama-3.2V-11B-cot",
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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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"datasets": [
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{
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"ref": "Xkev/LLaVA-CoT-100k-c9c723f9-0fc7-5fcc-a916-d80870eaabe0"
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}
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],
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"task": "image-text-to-text",
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"architectureFamily": "mllama",
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"modelArchitecture": "MllamaForConditionalGeneration"
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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": "meta-llama/Llama-3.2-11B-Vision-Instruct"
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}
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]
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},
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"name": "Xkev/Llama-3.2V-11B-cot",
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"authors": [
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{
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"name": "Xkev"
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}
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],
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"description": "<!-- Provide a longer summary of what this model is. -->- **License:** apache-2.0- **Finetuned from model:** meta-llama/Llama-3.2-11B-Vision-Instruct",
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"tags": [
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"transformers",
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"safetensors",
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"mllama",
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"image-to-text",
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"image-text-to-text",
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"conversational",
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"en",
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"dataset:Xkev/LLaVA-CoT-100k",
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"arxiv:2411.10440",
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"base_model:meta-llama/Llama-3.2-11B-Vision-Instruct",
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"base_model:finetune:meta-llama/Llama-3.2-11B-Vision-Instruct",
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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": "Xkev/LLaVA-CoT-100k-c9c723f9-0fc7-5fcc-a916-d80870eaabe0",
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"name": "Xkev/LLaVA-CoT-100k",
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"data": [
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{
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"type": "dataset",
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"bom-ref": "Xkev/LLaVA-CoT-100k-c9c723f9-0fc7-5fcc-a916-d80870eaabe0",
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"name": "Xkev/LLaVA-CoT-100k",
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"contents": {
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"url": "https://huggingface.co/datasets/Xkev/LLaVA-CoT-100k",
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"properties": [
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{
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"name": "task_categories",
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"value": "visual-question-answering"
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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": "10K<n<100K"
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},
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{
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"name": "pretty_name",
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"value": "LLaVA-CoT"
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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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"description": "\n\t\n\t\t\n\t\tDataset Card for LLaVA-CoT\n\t\n\n\n\t\n\t\t\n\t\tDataset Sources\n\t\n\n\nRepository: [https://github.com/PKU-YuanGroup/LLaVA-CoT]\nPaper: [https://arxiv.org/abs/2411.10440]\n\n\n\t\n\t\t\n\t\tDataset Structure\n\t\n\nThe repository includes image.zip.part-{aa-ap}, which you need to merge manually. Use the following command to combine them:\ncat image.zip.part-* > image.zip\nunzip image.zip\n\nThe train.jsonl file contains the question-answering data in the following format:\n{\n\"id\": ID,\n\"image\": IMAGE_PATH\u2026 See the full description on the dataset page: https://huggingface.co/datasets/Xkev/LLaVA-CoT-100k.",
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"governance": {
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"owners": [
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{
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"organization": {
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"name": "Xkev",
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"url": "https://huggingface.co/Xkev"
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}
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}
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]
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}
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}
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]
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}
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]
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}
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