add AIBOM
#13
by
fatima113
- opened
mlabonne_NeuralDaredevil-8B-abliterated.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:ec2a096a-6435-4b15-94a2-3cdfe51237d6",
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"version": 1,
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"metadata": {
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"timestamp": "2025-07-10T08:46:54.205541+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "mlabonne/NeuralDaredevil-8B-abliterated-137a94eb-5b88-59d1-88c3-66d6367d780d",
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"name": "mlabonne/NeuralDaredevil-8B-abliterated",
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"externalReferences": [
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{
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"url": "https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated",
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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": "text-generation",
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"architectureFamily": "llama",
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"modelArchitecture": "LlamaForCausalLM",
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"datasets": [
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{
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"ref": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab"
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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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"quantitativeAnalysis": {
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"performanceMetrics": [
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{
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"slice": "dataset: ai2_arc, split: test, config: ARC-Challenge",
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"type": "acc_norm",
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"value": 69.28
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},
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{
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"slice": "dataset: hellaswag, split: validation",
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"type": "acc_norm",
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"value": 85.05
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},
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{
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"slice": "dataset: cais/mmlu, split: test, config: all",
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"type": "acc",
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"value": 69.1
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},
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{
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"slice": "dataset: truthful_qa, split: validation, config: multiple_choice",
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"type": "mc2",
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"value": 60
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},
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{
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"slice": "dataset: winogrande, split: validation, config: winogrande_xl",
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"type": "acc",
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"value": 78.69
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},
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{
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"slice": "dataset: gsm8k, split: test, config: main",
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"type": "acc",
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"value": 71.8
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}
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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": "mlabonne"
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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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"name": "llama3"
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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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"safetensors",
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"llama",
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"text-generation",
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"dpo",
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"conversational",
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"dataset:mlabonne/orpo-dpo-mix-40k",
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"license:llama3",
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"model-index",
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"autotrain_compatible",
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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": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab",
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"name": "mlabonne/orpo-dpo-mix-40k",
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"data": [
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{
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"type": "dataset",
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"bom-ref": "mlabonne/orpo-dpo-mix-40k-898bbffe-f59a-53fe-a5b7-846dc484fbab",
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"name": "mlabonne/orpo-dpo-mix-40k",
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"contents": {
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"url": "https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k",
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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": "pretty_name",
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"value": "ORPO-DPO-mix-40k"
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},
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{
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"name": "configs",
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"value": "Name of the dataset subset: default {\"split\": \"train\", \"path\": \"data/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": "mlabonne",
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"url": "https://huggingface.co/mlabonne"
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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\tORPO-DPO-mix-40k v1.2\n\t\n\n\nThis dataset is designed for ORPO or DPO training.\nSee Fine-tune Llama 3 with ORPO for more information about how to use it.\nIt is a combination of the following high-quality DPO datasets:\n\nargilla/Capybara-Preferences: highly scored chosen answers >=5 (7,424 samples)argilla/distilabel-intel-orca-dpo-pairs: highly scored chosen answers >=9, not in GSM8K (2,299 samples)\nargilla/ultrafeedback-binarized-preferences-cleaned: highly scored chosen answers >=5 (22\u2026 See the full description on the dataset page: https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k."
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}
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]
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}
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]
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}
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