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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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"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",
|
|
"value": 28.1
|
|
},
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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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|
"slice": "dataset: humanevalplus",
|
|
"type": "pass@1",
|
|
"value": 63.4
|
|
},
|
|
{
|
|
"slice": "dataset: mbpp",
|
|
"type": "pass@1",
|
|
"value": 75.2
|
|
},
|
|
{
|
|
"slice": "dataset: mbppplus",
|
|
"type": "pass@1",
|
|
"value": 61.2
|
|
},
|
|
{
|
|
"slice": "dataset: ds-1000",
|
|
"type": "pass@1",
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|
"value": 40.6
|
|
}
|
|
]
|
|
}
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|
},
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"authors": [
|
|
{
|
|
"name": "bigcode"
|
|
}
|
|
],
|
|
"licenses": [
|
|
{
|
|
"license": {
|
|
"name": "bigcode-openrail-m"
|
|
}
|
|
}
|
|
],
|
|
"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).",
|
|
"tags": [
|
|
"transformers",
|
|
"safetensors",
|
|
"starcoder2",
|
|
"text-generation",
|
|
"code",
|
|
"conversational",
|
|
"dataset:bigcode/self-oss-instruct-sc2-exec-filter-50k",
|
|
"arxiv:2410.24198",
|
|
"base_model:bigcode/starcoder2-15b",
|
|
"base_model:finetune:bigcode/starcoder2-15b",
|
|
"license:bigcode-openrail-m",
|
|
"model-index",
|
|
"autotrain_compatible",
|
|
"text-generation-inference",
|
|
"endpoints_compatible",
|
|
"region:us"
|
|
]
|
|
}
|
|
},
|
|
"components": [
|
|
{
|
|
"type": "data",
|
|
"bom-ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2",
|
|
"name": "bigcode/self-oss-instruct-sc2-exec-filter-50k",
|
|
"data": [
|
|
{
|
|
"type": "dataset",
|
|
"bom-ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2",
|
|
"name": "bigcode/self-oss-instruct-sc2-exec-filter-50k",
|
|
"contents": {
|
|
"url": "https://huggingface.co/datasets/bigcode/self-oss-instruct-sc2-exec-filter-50k",
|
|
"properties": [
|
|
{
|
|
"name": "pretty_name",
|
|
"value": "StarCoder2-15b Self-Alignment Dataset (50K)"
|
|
},
|
|
{
|
|
"name": "configs",
|
|
"value": "Name of the dataset subset: default {\"split\": \"train\", \"path\": \"data/train-*\"}"
|
|
},
|
|
{
|
|
"name": "license",
|
|
"value": "odc-by"
|
|
}
|
|
]
|
|
},
|
|
"governance": {
|
|
"owners": [
|
|
{
|
|
"organization": {
|
|
"name": "bigcode",
|
|
"url": "https://huggingface.co/bigcode"
|
|
}
|
|
}
|
|
]
|
|
},
|
|
"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"
|
|
}
|
|
]
|
|
}
|
|
]
|
|
} |