add AIBOM
#6
by
fatima113
- opened
bigcode_starcoder2-15b-instruct-v0.1.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:19c1f27e-d53a-45dc-94ba-a0f9fb30f79a",
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"version": 1,
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"metadata": {
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"timestamp": "2025-07-10T08:49:17.278628+00:00",
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"component": {
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"type": "machine-learning-model",
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"bom-ref": "bigcode/starcoder2-15b-instruct-v0.1-e7aea605-679e-5203-beb5-6bb2732ebe54",
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"name": "bigcode/starcoder2-15b-instruct-v0.1",
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"externalReferences": [
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{
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"url": "https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1",
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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": "starcoder2",
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"modelArchitecture": "Starcoder2ForCausalLM",
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"datasets": [
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{
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"ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2"
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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": "bigcode/starcoder2-15b"
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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: livecodebench-codegeneration",
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"type": "pass@1",
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"value": 20.4
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},
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{
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"slice": "dataset: livecodebench-selfrepair",
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"type": "pass@1",
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"value": 20.9
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},
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{
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"slice": "dataset: livecodebench-testoutputprediction",
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"type": "pass@1",
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"value": 29.8
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},
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{
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"slice": "dataset: livecodebench-codeexecution",
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"type": "pass@1",
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"value": 28.1
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},
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{
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"slice": "dataset: humaneval",
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"type": "pass@1",
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"value": 72.6
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},
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{
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"slice": "dataset: humanevalplus",
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"type": "pass@1",
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"value": 63.4
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},
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{
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"slice": "dataset: mbpp",
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"type": "pass@1",
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"value": 75.2
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},
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{
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"slice": "dataset: mbppplus",
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"type": "pass@1",
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"value": 61.2
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},
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{
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"slice": "dataset: ds-1000",
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"type": "pass@1",
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"value": 40.6
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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": "bigcode"
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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": "bigcode-openrail-m"
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}
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}
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],
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"description": "We introduce StarCoder2-15B-Instruct-v0.1, the very first entirely self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. Our open-source pipeline uses StarCoder2-15B to generate thousands of instruction-response pairs, which are then used to fine-tune StarCoder-15B itself without any human annotations or distilled data from huge and proprietary LLMs.- **Model:** [bigcode/starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-instruct-15b-v0.1)- **Code:** [bigcode-project/starcoder2-self-align](https://github.com/bigcode-project/starcoder2-self-align)- **Dataset:** [bigcode/self-oss-instruct-sc2-exec-filter-50k](https://huggingface.co/datasets/bigcode/self-oss-instruct-sc2-exec-filter-50k/)- **Authors:**[Yuxiang Wei](https://yuxiang.cs.illinois.edu),[Federico Cassano](https://federico.codes/),[Jiawei Liu](https://jw-liu.xyz),[Yifeng Ding](https://yifeng-ding.com),[Naman Jain](https://naman-ntc.github.io),[Harm de Vries](https://www.harmdevries.com),[Leandro von Werra](https://twitter.com/lvwerra),[Arjun Guha](https://www.khoury.northeastern.edu/home/arjunguha/main/home/),[Lingming Zhang](https://lingming.cs.illinois.edu).",
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"tags": [
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"transformers",
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"safetensors",
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"starcoder2",
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"text-generation",
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"code",
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"conversational",
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"dataset:bigcode/self-oss-instruct-sc2-exec-filter-50k",
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| 110 |
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"arxiv:2410.24198",
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| 111 |
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"base_model:bigcode/starcoder2-15b",
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| 112 |
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"base_model:finetune:bigcode/starcoder2-15b",
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| 113 |
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"license:bigcode-openrail-m",
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"model-index",
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| 115 |
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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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| 123 |
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{
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"type": "data",
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| 125 |
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"bom-ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2",
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| 126 |
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"name": "bigcode/self-oss-instruct-sc2-exec-filter-50k",
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| 127 |
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"data": [
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| 128 |
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{
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| 129 |
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"type": "dataset",
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| 130 |
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"bom-ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2",
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"name": "bigcode/self-oss-instruct-sc2-exec-filter-50k",
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"contents": {
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"url": "https://huggingface.co/datasets/bigcode/self-oss-instruct-sc2-exec-filter-50k",
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"properties": [
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{
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"name": "pretty_name",
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"value": "StarCoder2-15b Self-Alignment Dataset (50K)"
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},
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| 139 |
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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": "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": "bigcode",
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"url": "https://huggingface.co/bigcode"
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}
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}
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]
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},
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"description": "Final self-alignment training dataset for StarCoder2-Instruct. \n\nseed: Contains the seed Python function\nconcepts: Contains the concepts generated from the seed\ninstruction: Contains the instruction generated from the concepts\nresponse: Contains the execution-validated response to the instruction\n\nThis dataset utilizes seed Python functions derived from the MultiPL-T pipeline.\n"
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}
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]
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}
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]
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}
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