Test your AI models with Giskard
Browse and submit evaluations for CaselawQA benchmarks
Upload ML model to Hugging Face Hub
Create and upload a Hugging Face model card
Generate leaderboard comparing DNA models
Calculate memory needed to train AI models
Merge Lora adapters with a base model
Benchmark LLMs in accuracy and translation across languages
Explore and benchmark visual document retrieval models
Quantize a model for faster inference
Compare and rank LLMs using benchmark scores
Benchmark models using PyTorch and OpenVINO
Convert PyTorch models to waifu2x-ios format
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.