evaluating-code-models

Community

Benchmark code models with industry standards.

AuthorDoanNgocCuong
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the rigorous evaluation of code generation models against a comprehensive suite of industry-standard benchmarks, providing reliable metrics for performance assessment.

Core Features & Use Cases

  • Multi-Benchmark Support: Evaluates models on HumanEval, MBPP, MultiPL-E (18 languages), APPS, DS-1000, and more.
  • Pass@k Metrics: Accurately measures functional correctness using pass@k metrics.
  • Multi-Language Evaluation: Assesses code generation capabilities across a wide array of programming languages.
  • Use Case: A research team developing a new code generation LLM needs to compare its performance against existing state-of-the-art models on standard benchmarks like HumanEval and MBPP to validate its effectiveness.

Quick Start

Evaluate the 'bigcode/starcoder2-7b' model on the HumanEval benchmark with code execution enabled.

Dependency Matrix

Required Modules

bigcode-evaluation-harnesstransformersacceleratedatasets

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: evaluating-code-models
Download link: https://github.com/DoanNgocCuong/continuous-training-pipeline_T3_2026/archive/main.zip#evaluating-code-models

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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