Benchmark
Multipl-E HumanEval
MultiPL-E is a scalable and extensible approach to benchmarking neural code generation that translates unit test-driven code generation benchmarks across…
- Modality
- text
- Categories
- language, general
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 3
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Llama 3.1 405B Instruct | Meta | 0.752 | 2024-07-23 | evidence |
| Llama 3.1 70B Instruct | Meta | 0.655 | 2024-07-23 | evidence |
| Llama 3.1 8B Instruct | Meta | 0.508 | 2024-07-23 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.