TinySwallow-1.5B: benchmark results

Sakana AI's TinySwallow-1.5B, a Japanese compact model built via TAID knowledge distillation from a Qwen2.5-32B-Instruct teacher onto a Qwen2.5-1.5B-Instruct student, then further pretrained on Japanese text. Provider: Sakana AI. Released 2024-12-26. Access: Open.

Aggregate Rating 1335 ± 38, rank #1394 of 1635 rated models, from 33 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Swallow - Pre-trained Japanese - XL-Sum17.3ROUGE-2 (%)56.1
Swallow - Pre-trained Japanese - JCommonsenseQA84Accuracy (%)46.9
Swallow - Pre-trained Japanese - Average40.2Average Score (%)40.8
Swallow - Pre-trained Japanese - JMMLU44.6Accuracy (%)40.8
Swallow - Pre-trained Japanese - NIILC47.4Character F1 (%)40.8
Swallow - Pre-trained Japanese - MGSM25.6Exact Match (%)38.8
Swallow - Pre-trained English - GSM8K37.9Exact Match (%)36.7
Swallow - Pre-trained English - MMLU54.6Accuracy (%)34.7
Swallow - Pre-trained Japanese - JHumanEval23.1Pass@1 (%)34.7
Swallow - Pre-trained English - MATH16.2Exact Match (%)30.6
Swallow - Pre-trained English - Average41.8Average Score (%)28.6
pfgen-bench - Completion Mode - Helpfulness0.05Helpfulness Score27.8

Interactive version: theaggregate.ai/model?slug=tinyswallow-1-5b · How It Works · Data refreshed daily, snapshot 2026-11-05.