View NSQL Scores for Models
Browse and submit evaluations for CaselawQA benchmarks
Submit deepfake detection models for evaluation
Track, rank and evaluate open LLMs and chatbots
Benchmark LLMs in accuracy and translation across languages
Benchmark models using PyTorch and OpenVINO
Evaluate reward models for math reasoning
Evaluate open LLMs in the languages of LATAM and Spain.
Launch web-based model application
Evaluate adversarial robustness using generative models
Compare audio representation models using benchmark results
Teach, test, evaluate language models with MTEB Arena
Multilingual Text Embedding Model Pruner
DuckDB NSQL Leaderboard is a tool designed to track and compare the performance of different models using the NSQL (Normalized SQL) benchmarking framework. It provides a centralized platform to view and analyze NSQL scores, enabling users to evaluate and compare model performance efficiently.
What is NSQL in DuckDB?
NSQL (Normalized SQL) is a benchmarking framework used to evaluate the performance of SQL query engines. It provides a standardized way to measure and compare query execution times across different systems.
How do I interpret the NSQL scores?
Higher NSQL scores generally indicate better performance. Scores are calculated based on the execution time of a suite of SQL queries, with faster execution times resulting in higher scores.
Can I customize the leaderboard view?
Yes, you can customize the leaderboard by filtering, sorting, and selecting specific models to compare. This allows you to focus on the models and metrics that are most relevant to your needs.