Open LLM Leaderboard v1 - HellaSwag: leaderboard

Original Hugging Face Open LLM Leaderboard commonsense sentence completion: HellaSwag with 10 demonstrations and answer-length-normalized multiple-choice accuracy. Percentage, higher is better. Frozen v1 evaluation archive; public questions and possible training overlap limit comparisons with newer models.

Metric: Normalized accuracy (%) (10-shot). Source: huggingface.co. Saturation forecast: Estimated already saturated. 7252 models tracked.

Top models

#ModelScoreOverall rank
1LLaMAntino-3-ANITA-8B-Inst-DPO-ITA92.75#1001
2free-evo-qwen72B-v0.8-re91.34#442
3Rhea-72B-v0.591.15#555
4luxia-21.4B-alignment-v1.290.86#963
5Le_Triomphant-ECE-TW390.3#564
6DARE_TIES_13B89.5#856
7Llama-3-SauerkrautLM-8B-Instruct89.41#893
8MoE_13B_DPO89.39#857
9CarbonBeagle-11B-truthy89.31#1023
10Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B89.3#848
11Smaug-72B-v0.189.27#613
12YamshadowExperiment28-7B89.25#912
13MixTAO-7Bx2-MoE-v8.189.22#815
14AlphaMonarch-7B89.18#1044
15NeuralSynthesis-7B-v0.189.18#976

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #6 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=open-llm-leaderboard-v1-hellaswag · How It Works · Data refreshed daily, snapshot 2026-11-07.