SolidityBench Leaderboard
Retrain models for new data at edge devices
Evaluate and submit AI model results for Frugal AI Challenge
Benchmark models using PyTorch and OpenVINO
Visualize model performance on function calling tasks
Evaluate code generation with diverse feedback types
Convert PyTorch models to waifu2x-ios format
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
Quantize a model for faster inference
Analyze model errors with interactive pages
Evaluate RAG systems with visual analytics
Upload a machine learning model to Hugging Face Hub
Track, rank and evaluate open LLMs and chatbots
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.