open source 8b-Seed-Coder model is an advanced, open-source family of code generation models developed by ByteDance’s Seed team, designed to significantly enhance programming and software engineering tasks through artificial intelligence. The website serves as a hub for accessing and understanding these state-of-the-art models, which leverage large language models (LLMs) to automate and optimize code generation, completion, infilling, and reasoning. Seed-Coder models are trained on massive datasets sourced from GitHub repositories and code-related web data, using a novel "model-centric" data processing approach that minimizes manual data curation by employing smaller LLMs to filter and select high-quality training data. This results in highly efficient and powerful models that achieve leading performance in various coding benchmarks. The site provides detailed documentation, model downloads, and insights into the architecture and training methods behind Seed-Coder, promoting transparency and community-driven development under a permissive MIT open-source license. Seed-Coder supports long context lengths (up to 32,768 tokens), enabling sophisticated code understanding and generation over large codebases.