IF

Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints

Mistral Small 3.2 24B Instruct from Mistral AI currently leads the IF leaderboard with a score of 0.848 across 2 evaluated AI models.

Paper

Mistral AIMistral Small 3.2 24B Instruct leads with 84.8%, followed by MiniMaxMiniMax M2 at 72.0%.

Progress Over Time

Interactive timeline showing model performance evolution on IF

State-of-the-art frontier
Open
Proprietary

IF Leaderboard

2 models
ContextCostLicense
124B
2
MiniMax
MiniMax
230B1.0M$0.30 / $1.20
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FAQ

Common questions about IF.

What is the IF benchmark?

Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints

What is the IF leaderboard?

The IF leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Mistral Small 3.2 24B Instruct by Mistral AI leads with a score of 0.848. The average score across all models is 0.784.

What is the highest IF score?

The highest IF score is 0.848, achieved by Mistral Small 3.2 24B Instruct from Mistral AI.

How many models are evaluated on IF?

2 models have been evaluated on the IF benchmark, with 0 verified results and 2 self-reported results.

Where can I find the IF paper?

The IF paper is available at https://arxiv.org/abs/2311.07911. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does IF cover?

IF is categorized under structured output and general. The benchmark evaluates text models.

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