Browse and compare language model leaderboards
Generate Dynamic Visual Patterns
Ask questions about text or images
Image captioning, image-text matching and visual Q&A.
Answer questions about documents and images
Select a city to view its map
Explore news topics through interactive visuals
Rank images based on text similarity
Generate answers by combining image and text inputs
Display a logo with a loading spinner
demo of batch processing with moondream
Display voice data map
Answer questions about images in natural language
Clembench is a tool designed to help users browse and compare language model leaderboards. It provides a platform for evaluating and analyzing the performance of different language models, particularly in the domain of Visual QA (Question Answering). Clembench enables users to explore benchmark results, compare model performance, and gain insights into the capabilities of various language models.
• Interactive Dashboard: Access a user-friendly interface to explore benchmark results. • Model Comparison: Compare performance metrics across multiple language models. • Real-Time Filtering: Narrow down results by metrics, datasets, or models. • Detailed Analytics: Dive into in-depth performance statistics for each model. • Benchmarking: Test and evaluate language models against standard benchmarks.
What types of models are supported on Clembench?
Clembench supports a wide range of language models, including but not limited to SOTA (State-of-the-Art) models in Visual QA.
How often are the leaderboards updated?
The leaderboards are regularly updated to reflect the latest advancements in language model research.
Can I export the comparison data?
Yes, Clembench allows users to export data and visualizations for further analysis or reporting.