SmolLM2-360M-Instruct: benchmark results

Hugging Face's SmolLM2-360M-Instruct, fine-tuned from SmolLM2-360M (trained on 4 trillion tokens) via supervised fine-tuning and DPO on UltraFeedback, improving on SmolLM1 in instruction following and reasoning. Provider: HuggingFace. Released 2024-10-31. Access: Open.

Aggregate Rating 1161 ± 16, rank #1595 of 1635 rated models, from 324 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Enkrypt AI - Bias Risk66.41Risk Score81.6
SLM Trustworthiness - Fairness47.45TrustLLM fairness accuracy (%; sub-task mean)70
SLM Trustworthiness - Privacy48.59TrustLLM privacy accuracy (%; sub-task mean)60
MEDIC Benchmark62.47MEDIC Public Table Average50.5
EuroEval English Summarization - CNN Dailymail41.66chrF3++ (%)49.7
EuroEval Spanish Summarization - Mlsum ES24.16chrF3++ (%)47.6
Open LLM Leaderboard - IFEval38.42Score37.7
EuroEval Serbian Summarization - LR SUM SR21.83chrF3++ (%)37.4
EuroEval Norwegian Knowledge - Idioms NO0.95MCC (x100)35.5
EuroEval Icelandic NLU - ScaLA IS0.6Matthews correlation coefficient (%)31.7
EuroEval Icelandic Knowledge3.2Knowledge Average Score (%)30.6
EuroEval Faroese NLU - ScaLA FO0.67Matthews correlation coefficient (%)30

Interactive version: theaggregate.ai/model?slug=smollm2-360m-instruct · How It Works · Data refreshed daily, snapshot 2026-10-15.