SmolLM2-1.7B: benchmark results

A base/pretrained checkpoint for further adaptation, trained on educational web text, code and curated math data. The project publishes its training and local-inference code. Provider: HuggingFace. Released 2024-10-30. Access: Open.

Aggregate Rating 1242 ± 23, rank #1548 of 1656 rated models, from 156 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
LA Leaderboard - MGSM Galician6Exact Match (%)80
LA Leaderboard - caBREU Catalan15BLEU79.4
LA Leaderboard - MGSM Spanish3.6Exact Match (%)77.7
LA Leaderboard - Summarization Galician5.92BLEU77.6
LA Leaderboard - MGSM Catalan5.2Exact Match (%)73.1
LA Leaderboard - HumorQA58.82Accuracy (%)70.6
LA Leaderboard - QNLI Basque52.1Accuracy (%)64
LA Leaderboard - RagQuAS76.48Semantic Answer Similarity (x100)52.9
LA Leaderboard - XQuAD Spanish54.03F1 (%)47.7
LA Leaderboard - EusReading Basque27.56Accuracy (%)47.1
LA Leaderboard - XCOPA Basque51Accuracy (%)46.3
LA Leaderboard - BEC2016 Basque37.1F1 (%)44.9

Interactive version: theaggregate.ai/model?slug=smollm2-1-7b · How It Works · Data refreshed daily, snapshot 2026-10-20.