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.
Llama 3.1 8B Instruct from Meta currently leads the MBPP EvalPlus (base) leaderboard with a score of 0.728 across 1 evaluated AI models.
Llama 3.1 8B Instruct leads with 72.8%.
Progress Over Time
Interactive timeline showing model performance evolution on MBPP EvalPlus (base)
MBPP EvalPlus (base) Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 8B | 131K | $0.03 / $0.03 |
FAQ
Common questions about MBPP EvalPlus (base).
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