Submit code models for evaluation on benchmarks
Execute user-defined code
Generate code snippets and answer programming questions
Create sentient AI systems using Sentience Programming Language
Generate and manage code efficiently
Build customized LLM flows using drag-and-drop
Example for running a multi-agent autogen workflow.
Find programs from input-output examples
Execute custom code from environment variable
Analyze code to get insights
AI-Powered Research Impact Predictor
Generate code snippets from a prompt
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc
The Big Code Models Leaderboard is a platform designed for evaluating and comparing code generation models. It provides a centralized space where developers and researchers can submit their models for benchmarking against industry-standard tests. The leaderboard allows users to track performance, identify strengths and weaknesses, and learn from competing models in the field of code generation.
What makes the Big Code Models Leaderboard useful for developers?
The leaderboard provides a standardized way to evaluate code generation models, allowing developers to compare their models against industry benchmarks and identify areas for improvement.
What are the requirements for submitting a model?
Models must adhere to specific formatting and submission guidelines provided on the platform. Ensure your model is optimized for the benchmarks used in the evaluation process.
How are models ranked on the leaderboard?
Models are ranked based on their performance on predefined benchmarks, with metrics such as accuracy, efficiency, and code quality determining their position on the leaderboard.