Compare language models on repeatable benchmarks.
Benchmarks language models and produces reproducible results for comparing their capabilities across tasks.
When to use it
Use for broad benchmark coverage, reproducible containerized evaluations, or evaluations on Slurm clusters and cloud infrastructure.
Give it a model endpoint and benchmarks to run; it executes evaluations and saves results locally.
What you provide
Requires Python 3.10–3.13.
Requires Docker for the default local execution workflow.
This skill
NVIDIA Build
Sends benchmark requests to NVIDIA Build
NGC Containers
Downloads evaluation containers from NGC