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LLM Stats
MBPP EvalPlus (base)
MBPP (Mostly Basic Python Problems) is a benchmark of 974 crowd-sourced Python programming problems designed to be solvable by entry-level programmers. EvalPlus extends MBPP with significantly more test cases (35x) for more rigorous evaluation of LLM-synthesized code, providing high-quality and precise evaluation.
Evaluation context and evidence
- Source
- LLM Stats
- Publisher
- Not recorded
- Benchmark release
- Not recorded
- Collected
- 2026-08-17
- Modality
- text
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 1
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Llama 3.1 8B Instruct | 0.728 | Not recorded | Not recorded | 2024-07-23 · model_announcement | LLM Stats |