This is the dataset used for training StarCoder and StarCoderBase. It contains 783GB of code in 86 programming languages, and includes 54GB GitHub Issues + 13 ... |
17 авг. 2023 г. · The StarCoder models are 15.5B parameter models trained on 80+ programming languages from The Stack (v1.2), with opt-out requests excluded. |
9 мая 2023 г. · StarCoder is a language model (LM) trained on source code and natural language text. Its training data incorporates more that 80 different programming ... |
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming ... |
StarCoder Search: Full-text search code in the pretraining dataset. StarCoder Membership Test: Blazing fast test if code was present in pretraining dataset. |
The Stack consists of. 6.4 TB of permissively licensed source code in 384 programming languages, and includes 54 GB of GitHub issues and repository-level ... |
29 февр. 2024 г. · We train StarCoder2 models with 3B, 7B, and 15B parameters on 3.3 to 4.3 trillion tokens and thoroughly evaluate them on a comprehensive set of Code LLM ... |
29 февр. 2024 г. · This results in a training set that is 4× larger than the first StarCoder dataset. We train StarCoder2 models with 3B, 7B, and 15B parameters on. |
The Stack contains over 3TB of permissively-licensed source code files covering 30 programming languages crawled from GitHub. |
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