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lm-evaluation-harness

A framework for few-shot evaluation of language models.

Our verdict

Not reviewed yet

We have not reviewed lm-evaluation-harness yet

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From the listing

About lm-evaluation-harness

Python framework for evaluating language models across standardized benchmarks using few-shot prompting. Supports multiple model backends and task definitions, enabling reproducible performance measurement against established datasets like MMLU, HellaSwag, and others.

Best for

Researchers and engineers benchmarking LLM performance against established academic standards

Use cases

  • Comparing performance across different LLM architectures on standard benchmarks
  • Measuring model degradation or improvement after fine-tuning or quantization
  • Validating model behavior on specific task categories before deployment

Notes

12,772 stars on GitHub. Last updated 2026-05-11. Licensed MIT.

Pros

  • Extensive built-in benchmark library reduces setup time for common evaluations
  • Supports multiple model backends (local, API-based, custom implementations)
  • Active community maintenance with 12k+ stars and regular benchmark additions

Cons

  • Steep learning curve for custom task definition and evaluation logic
  • Evaluation runs can be computationally expensive and time-consuming at scale
  • Limited guidance on interpreting results or statistical significance testing

Key facts

What we have checked

Latest version
0.4.13 (released 31 Aug 2026)
Checked GitHub
GitHub stars
14,079
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How lm-evaluation-harness is growing

GitHub stars

12,772 to 14,079

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

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Compare

Compare lm-evaluation-harness side by side

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 0.4.13

    Source: GitHub

  2. Released 0.4.12

    Source: GitHub

  3. Released 0.4.11

    Source: GitHub

  4. Released 0.4.10

    Source: GitHub

  5. Released 0.4.9.2

    Source: GitHub

  6. Released 0.4.9.1

    Source: GitHub

  7. Released 0.4.9

    Source: GitHub

  8. Released 0.4.8

    Source: GitHub

  9. Released 0.4.7

    Source: GitHub

  10. Released 0.4.6

    Source: GitHub

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