SolidityBench Leaderboard
Leaderboard of information retrieval models in French
Optimize and train foundation models using IBM's FMS
Browse and filter machine learning models by category and modality
Create demo spaces for models on Hugging Face
Evaluate open LLMs in the languages of LATAM and Spain.
Submit models for evaluation and view leaderboard
View NSQL Scores for Models
Evaluate model predictions with TruLens
Visualize model performance on function calling tasks
Track, rank and evaluate open LLMs and chatbots
Analyze model errors with interactive pages
Benchmark models using PyTorch and OpenVINO
SolidityBench Leaderboard is a benchmarking tool designed to rank and compare language models within the Model Benchmarking category. It provides a platform to evaluate and submit language models, allowing developers and researchers to assess their performance against industry standards and competing models.
• Support for multiple language models: Compare various models side-by-side.
• Customizable benchmarks: Define specific testing criteria and scenarios.
• Real-time updates: Stay informed with the latest model performances.
• Detailed result visualization: Access graphs, charts, and other visual representations of model performance.
• Submission portal: Easily submit your own model for benchmarking and inclusion in the leaderboard.
What is the purpose of SolidityBench Leaderboard?
The purpose is to provide a standardized platform for comparing language models, helping researchers and developers identify top-performing models for specific tasks.
How do I submit my language model for benchmarking?
Submit your model through the platform's submission portal, ensuring it meets the specified requirements and guidelines.
Can I create custom benchmarks for my specific use case?
Yes, SolidityBench Leaderboard allows users to define custom benchmarks tailored to their needs, enabling more relevant performance evaluations.