Verified86%Harbor: pendingInstruction FollowingKnowledge & ReasoningSafety & Alignment

IFEval

Instruction Following Eval

IFEval: 500+可编程验证指令

How to run

ltb · ifeval
$ npm i -g lettokenburn-cli
$ ltb bench pull ifeval

External harness. pip install lm-eval && lm_eval --model <hf|vllm|openai-chat-completions> --model_args <model args> --tasks ifeval (lm-evaluation-harness task family 'ifeval') https://github.com/EleutherAI/lm-evaluation-harness

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

10 sourced entries
HarnessSourceConfidenceLink
Claude Opus 4.694.0N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
Kimi K2.594.0N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
Qwen 3.592.6N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
GLM-588.0N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
MiniMax M2.587.5N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
GPT-485.4N/AIndependentmediumNov 14, 2023arxiv.org
Gemini 3.1 Pro85.0N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
DeepSeek R183.3N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
Gemini 3 Pro82.0N/ASelf-reportedlowJun 1, 2026artificialanalysis.ai
PaLM 2-S59.1N/AIndependentmediumNov 14, 2023arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

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About

IFEval (Instruction Following Eval) — 500+可编程验证指令. Scoring: 严格/宽松准确率. Difficulty: 中(趋于饱和). Imported from benchmark_research.md (2026-06).