SILMA-9B-Instruct-v1.0: benchmark results

SILMA AI's 9B Arabic instruct model built on Google's Gemma 2, claiming top open-weights Arabic performance at release despite its small size (August 2024). Provider: SILMA AI. Released 2024-08-17. Access: Open.

Aggregate Rating 1464 ± 18, rank #913 of 1656 rated models, from 191 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Open Arabic LLM - Arabic MMLU General Knowledge (Middle School)77.91Accuracy (%)91.4
Open LLM Leaderboard - MuSR46.37Score89.2
QIMMA - ArabCulture71.22Accuracy (%, log-likelihood multiple choice)87.8
Open Arabic LLM - Arabic MMLU Arabic Language (General)64.54Accuracy (%)85.8
ArabCulture-Dialogue - MCQ (MSA)78.3Accuracy (%) selecting the one culturally appropriate contin81.8
MEDIC Benchmark73.25MEDIC Public Table Average78.9
Open Arabic LLM - Aratrust Privacy94.74Accuracy (%)78.3
Open Arabic LLM - Arabic MMLU Computer Science (Primary School)75.79Accuracy (%)77.8
Open Arabic LLM - Arabic MMLU General Knowledge (Primary School)72.22Accuracy (%)77.8
Open Arabic LLM - Arabic MMLU Accounting (University)64.86Accuracy (%)76.5
Open Arabic LLM - Arabic MMLU Civics (High School)48.28Accuracy (%)76.5
Open Arabic LLM - Madinah QA Arabic Language (General)75.65Accuracy (%)74.4

Interactive version: theaggregate.ai/model?slug=silma-9b-instruct-v1-0 · How It Works · Data refreshed daily, snapshot 2026-10-20.