Display model benchmark results
Browse and submit LLM evaluations
Browse and submit model evaluations in LLM benchmarks
Launch web-based model application
Compare audio representation models using benchmark results
Visualize model performance on function calling tasks
Measure over-refusal in LLMs using OR-Bench
Evaluate open LLMs in the languages of LATAM and Spain.
Evaluate LLM over-refusal rates with OR-Bench
Upload a machine learning model to Hugging Face Hub
Evaluate code generation with diverse feedback types
Rank machines based on LLaMA 7B v2 benchmark results
Export Hugging Face models to ONNX
The Redteaming Resistance Leaderboard is a tool designed to benchmark and compare AI models based on their ability to resist adversarial attacks and maintain performance under challenging conditions. It provides a centralized platform to evaluate and rank models, offering insights into their robustness and reliability in real-world scenarios.
• Real-time Performance Tracking: continuously updates model performance metrics
• Head-to-Head Comparisons: ability to compare multiple models simultaneously
• Resistance Metrics: evaluates models based on their ability to withstand adversarial inputs
• Filtering System: allows users to filter models by specific criteria such as dataset, architecture, or performance thresholds
• Historical Data: provides access to past performance records for trend analysis
• Cross-Platform Compatibility: accessible on multiple devices and browsers
What is Redteaming in the context of AI models?
Redteaming refers to the process of systematically testing AI models to identify vulnerabilities and measure their resistance to adversarial attacks or unexpected inputs.
How are models ranked on the leaderboard?
Models are ranked based on their performance under stress tests, including their ability to maintain accuracy and reliability when exposed to challenging or adversarial conditions.
Can I customize the metrics used for comparison?
Yes, the platform allows users to filter and customize the metrics used for comparison, enabling tailored analysis based on specific needs or use cases.