Explore and visualize diverse models
Display and submit LLM benchmarks
Track, rank and evaluate open LLMs and chatbots
Merge Lora adapters with a base model
Evaluate code generation with diverse feedback types
Generate leaderboard comparing DNA models
View and submit LLM benchmark evaluations
Teach, test, evaluate language models with MTEB Arena
Optimize and train foundation models using IBM's FMS
Display model benchmark results
Display and filter leaderboard models
Visualize model performance on function calling tasks
Browse and submit LLM evaluations
Model Explorer is a powerful tool designed for exploring and visualizing diverse models. It allows users to benchmark and compare different AI models across various domains, providing insights into their performance, capabilities, and limitations. Whether you're a researcher, developer, or enthusiast, Model Explorer simplifies the process of understanding and selecting the right model for your needs.
• Model Visualization: Gain a clear understanding of model architectures and their relationships through interactive visualizations.
• Benchmarking: Compare models based on performance metrics, accuracy, and other key indicators.
• Customizable Filters: Narrow down models by domain, size, architecture, or other criteria to focus on relevant options.
• Cross-Domain Comparison: Explore models from NLP, computer vision, reinforcement learning, and more in a unified interface.
• Real-Time Updates: Access the latest models and advancements in AI research.
• Export Capabilities: Download comparison results and visualizations for further analysis or reporting.
• Integration with Third-Party Tools: Seamlessly connect with popular AI frameworks and platforms for extended functionality.
What is Model Explorer?
Model Explorer is a tool designed to help users explore, visualize, and benchmark diverse AI models across different domains. It simplifies the process of understanding and comparing models for various applications.
What types of models does Model Explorer support?
Model Explorer supports a wide range of models, including those from NLP, computer vision, reinforcement learning, and other AI domains. It is regularly updated with the latest advancements in AI research.
How do I compare models in Model Explorer?
To compare models, select the models you wish to analyze, apply filters to focus on specific criteria, and use the benchmarking and visualization tools to evaluate their performance and capabilities.