StarCoder and StarCoderBase are state-of-the-art Large Language Models (LLMs) designed specifically for code-related tasks. Trained on vast datasets sourced from GitHub, which encompass code written in over 80 programming languages, these models are adept at understanding, generating, and manipulating code snippets across a wide spectrum of programming paradigms. Whether it's auto-completion, code summarization, bug detection, or even code generation from natural language descriptions, StarCoder models offer powerful capabilities to developers and researchers alike. With their extensive training on real-world code repositories, StarCoder and StarCoderBase provide valuable assistance in various software development tasks, enabling developers to write more efficient and reliable code.
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