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lm-evaluation-harness (EleutherAI)

BENCHMARK

De-facto standard for generative model evaluation

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Overview

lm-evaluation-harness (EleutherAI) is a free benchmark on OpenRuna. De-facto standard for generative model evaluation

What this benchmark does

Reach for "lm-evaluation-harness (EleutherAI)" whenever you need a reliable benchmark for real work across ChatGPT, Claude, Gemini, and Cursor. De-facto standard for generative model evaluation OpenRuna cross-links it to related prompts, agents, and tools, which makes assembling a full workflow around it straightforward. Open a new conversation and paste it in, wire it into an agent, or keep it in your team's prompt library.

Use cases

  • Combine it with related tools and prompts in the same OpenRuna category to build an end-to-end workflow.
  • Reach for it during planning or review sessions when you want consistent, AI-assisted structure.
  • Use "lm-evaluation-harness (EleutherAI)" when you need a repeatable benchmark for professional work without rewriting instructions every time.
  • Hand "lm-evaluation-harness (EleutherAI)" to a new teammate so their benchmark output matches your team's quality bar from day one.

Example output

Ask the model to apply "lm-evaluation-harness (EleutherAI)" to your scenario and it returns a structured answer — clear sections, actionable steps, and assumptions stated upfront — ready to paste into docs, tickets, or code comments. Expect 2–3 iterations to dial in tone and depth for your context.

Tips by platform

Claude

With Claude, drop this benchmark into Project knowledge so every chat in the project inherits it. Ask Claude to restate the goal first, then run — it catches edge cases early.

ChatGPT

In ChatGPT, start a fresh chat and paste this benchmark verbatim, then follow up with "apply this to [your context]." Pick a current GPT model for coding or reasoning tasks.

Cursor

Cursor users can store this benchmark as a project rule so Agent mode applies it automatically. Mention it with @ when you want it scoped to a single task.

Frequently asked questions

What is "lm-evaluation-harness (EleutherAI)"?
It is a benchmark listed on OpenRuna — De-facto standard for generative model evaluation You can copy and adapt it for ChatGPT, Claude, Cursor, or any other AI assistant.
Is "lm-evaluation-harness (EleutherAI)" free to use?
Most OpenRuna resources are open or CC0-licensed. Check the license shown on this page before commercial use; premium collections are clearly marked as such.
How do I get the best results from this benchmark?
Replace any placeholders, add your project context, and ask the model to confirm its assumptions first. Iterate over 2–3 follow-up turns rather than expecting a perfect first response.
Does "lm-evaluation-harness (EleutherAI)" work with both Claude and ChatGPT?
Yes — it is model-agnostic text, so it runs on Claude, ChatGPT, Gemini, and Cursor. The tips on this page cover each of those assistants specifically.
Where can I find resources related to "lm-evaluation-harness (EleutherAI)"?
Scroll to the Related resources section on this page, or open the matching category hub on OpenRuna to find connected prompts, tools, agents, and datasets in the same topic area.

Related resources