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StarCoder: may the source be with you!, , , , , , , , , и 57 other автор(ы). (2023)cite arxiv:2305.06161.What Language Model to Train if You Have One Million GPU Hours?, , , , , , , , , и 9 other автор(ы). CoRR, (2022)The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset., , , , , , , , , и 44 other автор(ы). NeurIPS, (2022)What Language Model to Train if You Have One Million GPU Hours?, , , , , , , , , и 8 other автор(ы). EMNLP (Findings), стр. 765-782. Association for Computational Linguistics, (2022)Predicting CPU usage for proactive autoscaling., , и . EuroMLSys@EuroSys, стр. 31-38. ACM, (2021)Implications of Data As a Public Good: Charting a Path Toward Diagnostic Excellence., , , и . AMIA, AMIA, (2022)StarCoder: may the source be with you!, , , , , , , , , и 57 other автор(ы). CoRR, (2023)Mixtral of Experts., , , , , , , , , и 16 other автор(ы). CoRR, (2024)OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Multitask Prompted Training Enables Zero-Shot Task Generalization., , , , , , , , , и 30 other автор(ы). ICLR, OpenReview.net, (2022)