View NSQL Scores for Models
Measure execution times of BERT models using WebGPU and WASM
View and submit LLM benchmark evaluations
Generate leaderboard comparing DNA models
Export Hugging Face models to ONNX
Explore and benchmark visual document retrieval models
Display genomic embedding leaderboard
View RL Benchmark Reports
Evaluate open LLMs in the languages of LATAM and Spain.
View and compare language model evaluations
Create demo spaces for models on Hugging Face
Calculate memory needed to train AI models
Display and filter leaderboard models
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.