OpenCoder provides a comprehensive, open-source framework for creating high-performing code language models with full transparency and reproducibility.

• Bridges the gap between closed proprietary models and open-source alternatives
• Features complete data processing pipelines and training protocols
• Achieves competitive performance against established code LLMs
• Enables rigorous scientific investigation of code AI systems

This research advances engineering practices by establishing clear benchmarks and reproducible methodologies for code LLM development, potentially accelerating innovation through community collaboration rather than siloed proprietary development.

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models