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{
"bomFormat": "CycloneDX",
"specVersion": "1.6",
"serialNumber": "urn:uuid:19c1f27e-d53a-45dc-94ba-a0f9fb30f79a",
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"metadata": {
"timestamp": "2025-07-10T08:49:17.278628+00:00",
"component": {
"type": "machine-learning-model",
"bom-ref": "bigcode/starcoder2-15b-instruct-v0.1-e7aea605-679e-5203-beb5-6bb2732ebe54",
"name": "bigcode/starcoder2-15b-instruct-v0.1",
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{
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"type": "documentation"
}
],
"modelCard": {
"modelParameters": {
"task": "text-generation",
"architectureFamily": "starcoder2",
"modelArchitecture": "Starcoder2ForCausalLM",
"datasets": [
{
"ref": "bigcode/self-oss-instruct-sc2-exec-filter-50k-87afcdf4-328e-5009-ba04-8150239e25f2"
}
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],
"quantitativeAnalysis": {
"performanceMetrics": [
{
"slice": "dataset: livecodebench-codegeneration",
"type": "pass@1",
"value": 20.4
},
{
"slice": "dataset: livecodebench-selfrepair",
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},
{
"slice": "dataset: livecodebench-testoutputprediction",
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},
{
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},
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{
"name": "bigcode"
}
],
"licenses": [
{
"license": {
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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).",
"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",
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"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)"
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{
"name": "configs",
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},
{
"name": "license",
"value": "odc-by"
}
]
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"governance": {
"owners": [
{
"organization": {
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"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"
}
]
}
]
} |