Individual skill
evaluating-code-models
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
backend/cli/skills/ml-training/bigcode-evaluation-harness/SKILL.md
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- Last checked
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- evaluation Declared skill tag
- code-generation Declared skill tag
- humaneval Declared skill tag
- mbpp Declared skill tag
- multipl-e Declared skill tag
- pass@k Declared skill tag
- bigcode Declared skill tag
- benchmarking Declared skill tag
- code-models Declared skill tag
- engineering Derived category
- testing Derived category
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Read excerpt
# BigCode Evaluation Harness - Code Model Benchmarking
## Quick Start
BigCode Evaluation Harness evaluates code generation models across 15+ benchmarks including HumanEval, MBPP, and MultiPL-E (18 languages).
**Installation**:
```bash
git clone https://github.com/bigcode-project/bigcode-evaluation-harness.git
cd bigcode-evaluation-harness
pip install -e .
accelerate config
```