SolidityBench Leaderboard
Create and manage ML pipelines with ZenML Dashboard
Launch web-based model application
Evaluate RAG systems with visual analytics
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Visualize model performance on function calling tasks
Evaluate model predictions with TruLens
Browse and evaluate ML tasks in MLIP Arena
Generate and view leaderboard for LLM evaluations
Run benchmarks on prediction models
Convert Hugging Face models to OpenVINO format
View and compare language model evaluations
Measure BERT model performance using WASM and WebGPU
The SolidityBench Leaderboard is a comprehensive benchmarking platform designed to evaluate and compare the performance of language models across various tasks and datasets. It provides a standardized framework for assessing model capabilities, enabling users to identify the most suitable models for their specific needs. The leaderboard ranks models based on their accuracy, efficiency, and overall performance.
The SolidityBench Leaderboard offers a rich set of features for model benchmarking and comparison:
What is the purpose of SolidityBench Leaderboard?
The SolidityBench Leaderboard aims to provide a standardized platform for comparing language models, helping researchers and developers identify the best models for their applications.
How are models ranked on the leaderboard?
Models are ranked based on their performance across various tasks and datasets, using metrics such as accuracy, F1-score, and inference time. Higher scores indicate better performance.
Can I submit my own model to the leaderboard?
Yes, the SolidityBench Leaderboard allows users to submit their own models. Visit the submission section on the website and follow the guidelines to add your model to the benchmarking process.