Instruct HumanEval
Progress Over Time
Interactive timeline showing model performance evolution on Instruct HumanEval
Instruct HumanEval Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | 70B | — | — |
What is Instruct HumanEval?
Instruction-based variant of HumanEval benchmark for evaluating large language models' code generation capabilities with functional correctness using pass@k metric on programming problems
Instruct HumanEval is a text benchmark evaluating models on general tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.7, with the leader at 0.7.
Compare leaders on the best AI for general leaderboards.
Current leaders
Llama 3.1 Nemotron 70B Instruct from NVIDIA currently leads the Instruct HumanEval leaderboard with a score of 0.738 across 1 evaluated AI models.
Source paper
- Title
- Evaluating Large Language Models Trained on Code
- Authors
- Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, and 54 others
- Published
- arXiv
- 2107.03374
Abstract
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot. On HumanEval, a new evaluation set we release to measure functional correctness for synthesizing programs from docstrings, our model solves 28.8% of the problems, while GPT-3 solves 0% and GPT-J solves 11.4%. Furthermore, we find that repeated sampling from the model is a surprisingly effective strategy for producing working solutions to difficult prompts. Using this method, we solve 70.2% of our problems with 100 samples per problem. Careful investigation of our model reveals its limitations, including difficulty with docstrings describing long chains of operations and with binding operations to variables. Finally, we discuss the potential broader impacts of deploying powerful code generation technologies, covering safety, security, and economics.
FAQ
Common questions about the Instruct HumanEval benchmark and leaderboard.