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Evaluate an LLM on academic benchmarks v1.0.0

Use this resource to measure a model's quality on standardised academic benchmarks

New

  • 527 downloads
  • 213 likes
  • 185 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-benchmark-evaluation-harness-3

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 installs lm-evaluation-harness, runs the chosen benchmarks on a Hugging Face model, vLLM or an API, then gathers the results. It can also track a training run checkpoint by checkpoint.

Mostly picked by

Updated November 2, 2026

Card for the “Evaluate an LLM on academic benchmarks” skill

Details

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

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What you get

  • SKILL.md: quick start and benchmark workflows
  • references/: benchmark guide, custom tasks, API and distributed evaluation

Good fit for

  • You are comparing two open models before choosing one
  • You want to track the quality of a training run at each checkpoint

Not for

    Tags

    • benchmark
    • llm
    • evaluation
    • mmlu
    • gsm8k

    About

    You say

    “Evaluate this model on MMLU with 5-shot and on GSM8K, then compare it with the previous checkpoint.”

    Card for the “Evaluate an LLM on academic benchmarks” 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 measure a model's quality on standardised academic benchmarks
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api-evaluation.md10.9 KB
    • references/benchmark-guide.md10.5 KB
    • references/custom-tasks.md12.8 KB
    • references/distributed-eval.md11.2 KB
    • SKILL.md11.9 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/nousresearch/hermes-agent/tree/0c74cc682dc81bf78b78a1737b3ee77a820ccb79/optional-skills/mlops/evaluation/evaluating-llms-harness
    Licence
    MIT

    Notice

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

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