View NSQL Scores for Models
Browse and submit model evaluations in LLM benchmarks
Find and download models from Hugging Face
Browse and filter ML model leaderboard data
Push a ML model to Hugging Face Hub
Track, rank and evaluate open LLMs and chatbots
Create demo spaces for models on Hugging Face
Multilingual Text Embedding Model Pruner
View and submit language model evaluations
Display LLM benchmark leaderboard and info
Measure over-refusal in LLMs using OR-Bench
Merge Lora adapters with a base model
Convert Hugging Face model repo to Safetensors
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.