[KongchangAI]
Benchmark

IFBench

A benchmark for evaluating the instruction-following capability of large models, measuring how accurately a model executes instructions that carry multiple constraints.

Timeline (last 90 days)

Oct 12

Saluki scored 93.5 on the IFEval benchmark (versus the original model's 91.5), and scored 72.7 on IFBench, surpassing the original model's 71.0.

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Oct 2

In benchmark tests, 2.0 shows notable improvements over the base model on IFBench (37.3→43.7), When2Call (48→58), and BFCL irrelevance (60→78).

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