41 Open-Weight Language Models Benchmarked for Zero-Shot Intent Classification: Study Finds Best Models for Accuracy vs. Efficiency
A systematic evaluation of 41 open-weight language models for zero-shot intent classification provides developers with practical guidance on model selection under compute, latency, and robustness constraints. The study tests models from 135 million to 9 billion parameters across 15 families on eight English datasets.