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Evaluating LLMs on benchmarks with NeMo Evaluator v1.0.0

Use this resource to run reproducible LLM evaluations on standard benchmarks

New

  • 334 downloads
  • 185 likes
  • 119 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install nemo-evaluator-llm-benchmarks

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent guides you through installing nemo-evaluator-launcher, writing a configuration file, then running an evaluation locally with Docker, on Slurm or in the cloud. You get commands to monitor jobs, limit samples and read results.

Mostly picked by

Updated November 2, 2026

Card for the “Evaluating LLMs on benchmarks with NeMo Evaluator” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, YAML configuration and evaluation workflows
  • references/configuration.md, adapter-system.md, custom-benchmarks.md and execution-backends.md: configuration, adapters, custom benchmarks and execution backends

Good fit for

  • You compare several models on the same benchmarks
  • You want reproducible evaluations on a cluster

Not for

    Tags

    • evaluation
    • benchmarks
    • llm
    • reproducibility

    About

    You say

    “Evaluate my model on MMLU and GSM8K with a reduced sample for a quick test.”

    Card for the “Evaluating LLMs on benchmarks with NeMo Evaluator” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run reproducible LLM evaluations on standard benchmarks
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/adapter-system.md9.6 KB
    • references/configuration.md9.8 KB
    • references/custom-benchmarks.md7.2 KB
    • references/execution-backends.md9.5 KB
    • SKILL.md12.4 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/11-evaluation/nemo-evaluator
    Licence
    MIT

    Notice

    « nemo-evaluator-sdk » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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