Browse and evaluate ML tasks in MLIP Arena
Merge Lora adapters with a base model
Download a TriplaneGaussian model checkpoint
Explore and benchmark visual document retrieval models
Generate leaderboard comparing DNA models
Display and submit LLM benchmarks
Launch web-based model application
View and compare language model evaluations
Browse and filter ML model leaderboard data
Run benchmarks on prediction models
Browse and submit LLM evaluations
View and submit machine learning model evaluations
Browse and submit model evaluations in LLM benchmarks
MLIP Arena is a platform designed for model benchmarking, enabling users to browse and evaluate machine learning models across various tasks. It serves as a centralized hub for exploring and comparing the performance of different models, providing valuable insights for both researchers and practitioners.
• Model Library: Access a comprehensive library of pre-trained machine learning models. • Performance Comparison: Compare models across multiple metrics and benchmarks. • Task-Specific Analysis: Evaluate models based on specific tasks such as classification, regression, etc. • Customizable Benchmarks: Define custom evaluation criteria tailored to your needs. • Visualizations: Interactive charts and graphs to simplify performance analysis. • Cross-Model Insights: Identify strengths and weaknesses of different models. • Integration Support: Connect with popular machine learning frameworks and platforms.
What is MLIP Arena used for?
MLIP Arena is used for benchmarking and evaluating machine learning models across various tasks and datasets. It helps users compare model performance and identify the best-suited models for their use cases.
Do I need to register to use MLIP Arena?
No, while some features may require an account, basic browsing and evaluation of models are typically available without registration.
Can I evaluate custom models in MLIP Arena?
Yes, MLIP Arena supports the evaluation of custom models. You can upload your models and benchmark them against existing ones in the library.