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The BigCode community, an open-scientific collaboration working on theresponsible development of Large Language Models for Code (Code LLMs),introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K contextlength, infilling capabilities and fast large-batch inference enabled bymulti-query attention. StarCoderBase is trained on 1 trillion tokens sourcedfrom The Stack, a large collection of permissively licensed GitHub repositorieswith inspection tools and an opt-out process. We fine-tuned StarCoderBase on35B Python tokens, resulting in the creation of StarCoder. We perform the mostcomprehensive evaluation of Code LLMs to date and show that StarCoderBaseoutperforms every open Code LLM that supports multiple programming languagesand matches or outperforms the OpenAI code-cushman-001 model. Furthermore,StarCoder outperforms every model that is fine-tuned on Python, can be promptedto achieve 40\% pass@1 on HumanEval, and still retains its performance on otherprogramming languages. We take several important steps towards a safeopen-access model release, including an improved PII redaction pipeline and anovel attribution tracing tool, and make the StarCoder models publiclyavailable under a more commercially viable version of the Open Responsible AIModel license.

StarCoder: may the source be with you!