Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Code generation model evaluation v1.0.0

Use this resource to evaluate a code generation model on standard benchmarks

New

  • 375 downloads
  • 135 likes
  • 167 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install code-model-benchmark-evaluation-2

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 runs the BigCode harness on your chosen model, with the benchmarks and languages you need, then computes pass@k scores. You get evaluation commands ready to run, common workflows and the issues listed in references/issues.md.

Mostly picked by

Updated November 2, 2026

Card for the “Code generation model evaluation” skill

Details

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

Similar resources

View all

What you get

  • SKILL.md: quick start and evaluation workflows
  • references/benchmarks.md: list of supported benchmarks
  • references/custom-tasks.md: how to write a custom evaluation task

Good fit for

  • You compare several code models on HumanEval or MBPP
  • You test a quantized or private model before deploying it

Not for

    Tags

    • model evaluation
    • code models
    • benchmark
    • pass@k

    About

    You say

    “Evaluate my private code model on HumanEval with pass@1, pass@10 and pass@100.”

    Card for the “Code generation model evaluation” 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 evaluate a code generation model on standard benchmarks
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/benchmarks.md9.3 KB
    • references/custom-tasks.md10.5 KB
    • references/issues.md8.3 KB
    • SKILL.md11.8 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.