Browse and evaluate ML tasks in MLIP Arena
View and submit machine learning model evaluations
Display and submit LLM benchmarks
View and submit LLM benchmark evaluations
Compare code model performance on benchmarks
Download a TriplaneGaussian model checkpoint
Browse and submit evaluations for CaselawQA benchmarks
Run benchmarks on prediction models
SolidityBench Leaderboard
Convert Hugging Face model repo to Safetensors
Merge machine learning models using a YAML configuration file
Convert Hugging Face models to OpenVINO format
View and compare language model evaluations
MLIP Arena is a platform designed for model benchmarking, allowing users to browse and evaluate machine learning models and tasks. It provides a comprehensive environment to explore and compare the performance of different models across various machine learning tasks.
• Task Exploration: Access a wide range of machine learning tasks to analyze model performance.
• Model Comparison: Compare models side-by-side to understand their strengths and weaknesses.
• Performance Visualization: Visualize results and metrics to gain insights into model effectiveness.
• Task Filtering: Narrow down tasks by specific criteria to focus on relevant models.
• Documentation Access: Review detailed documentation for tasks and models to deepen understanding.
What is MLIP Arena used for?
MLIP Arena is used for benchmarking and comparing machine learning models across various tasks, helping users understand model performance and select the best suited for their needs.
Can I filter tasks based on specific criteria?
Yes, MLIP Arena allows users to filter tasks by specific criteria, making it easier to find relevant models and performance data.
Is the performance data subjective?
No, the performance data in MLIP Arena is based on objective metrics and benchmarks, providing unbiased insights into model capabilities.