View NSQL Scores for Models
Display genomic embedding leaderboard
Determine GPU requirements for large language models
Compare audio representation models using benchmark results
Visualize model performance on function calling tasks
Calculate GPU requirements for running LLMs
View and submit LLM benchmark evaluations
Display and submit LLM benchmarks
Measure execution times of BERT models using WebGPU and WASM
Quantize a model for faster inference
Browse and evaluate ML tasks in MLIP Arena
Evaluate adversarial robustness using generative models
Calculate survival probability based on passenger details
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.