Aurora Coder Base

Aurora-Coder-Base ## 1. Introduction Aurora-Coder-Base is a code-specialised checkpoint fine-tuned on a deduplicated multi-language corpus. It targets repository-level code completion and agentic tool use. ## 2. Evaluation Results ### Comprehensive Benchmark Results | | Benchmark | StarBase | CodeNova | Aurora-mini | Aurora-Coder-Base | |---|---|---|---|---|---| | | Math Reasoning | 0.579 | 0.535 | 0.552 | 0.592 | | | Logical Reasoning | 0.810 | 0.831 | 0.824 | 0.846 | | | Common Sense | 0.731 | 0.734 | 0.750 | 0.761 | | | Reading Comprehension | 0.681 | 0.711 | 0.673 | 0.732 | | | Question Answering | 0.607 | 0.592 | 0.591 | 0.628 | | | Text Classification | 0.833 | 0.808 | 0.832 | 0.843 | | | Sentiment Analysis | 0.785 | 0.780 | 0.756 | 0.806 | | | Code Generation | 0.676 | 0.665 | 0.642 | 0.692 | | | Creative Writing | 0.609 | 0.623 | 0.639 | 0.656 | | | Dialogue Generation | 0.657 | 0.616 | 0.618 | 0.673 | | | Summarization | 0.762 | 0.780 | 0.748 | 0.787 | | | Translation | 0.808 | 0.778 | 0.808 | 0.816 | | | Knowledge Retrieval | 0.655 | 0.645 | 0.691 | 0.697 | | | Instruction Following | 0.725 | 0.743 | 0.742 | 0.779 | | | Safety Evaluation | 0.715 | 0.700 | 0.703 | 0.759 | ### Overall Performance Summary The Aurora-Coder-Base demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks. ## 3. Chat Website & API Platform We offer a chat interface and API for you to interact with Aurora-Coder-Base. Please check our official website for more details. ## 4. How to Run Locally Please refer to our code repository for more information about running Aurora-Coder-Base locally. ### Temperature We recommend setting the temperature parameter to 0.6. ## 5. License This repository is released under the mit license. The model supports commercial use. ## 6. Contact If you have any questions, please contact us at .