Test your AI models with Giskard
Display and submit LLM benchmarks
Find and download models from Hugging Face
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
View and submit LLM benchmark evaluations
Create demo spaces for models on Hugging Face
Convert PyTorch models to waifu2x-ios format
Convert Hugging Face models to OpenVINO format
Teach, test, evaluate language models with MTEB Arena
Evaluate model predictions with TruLens
Quantize a model for faster inference
Request model evaluation on COCO val 2017 dataset
Find recent high-liked Hugging Face models
Giskard Hub is a cutting-edge platform designed for model benchmarking, enabling users to thoroughly test and evaluate AI models. It provides a comprehensive environment to assess model performance, identify strengths and weaknesses, and ensure optimal results.
• Customizable Testing Framework: Tailor test scenarios to your specific needs
• Performance Tracking: Monitor model performance across different datasets and scenarios
• Cross-Model Comparison: Compare multiple models to identify the best performer
• Comprehensive Reporting: Gain deep insights with detailed analysis and visualizations
• Integration Support: Compatible with popular AI frameworks and libraries
• Secure Environment: Ensures your models and data remain protected
What types of AI models can I test on Giskard Hub?
Giskard Hub supports a wide range of AI models, including but not limited to NLP, computer vision, and machine learning models.
How long does it take to run benchmark tests?
The duration varies depending on the complexity of your model and the scope of the tests. Giskard Hub optimizes processing times for efficient testing.
Is my data safe when using Giskard Hub?
Yes, Giskard Hub employs robust security measures to protect your data and models throughout the testing process.