factbench / tiered_models_data.csv
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tier,model,factuality_score,hallucination_score,avg_tokens,avg_factual_units,avg_undecidable_units,avg_unsupported_units
Tier 1: Hard,πŸ”’ GPT4-o,75.65,0.64,563.15,24.01,4.62,1.01
Tier 1: Hard,πŸ”’ Gemini1.5-Pro,73.78,0.68,517.31,22.25,4.48,1.13
Tier 1: Hard,πŸ”‘ Llama3.1-70B-Instruct,70.07,0.89,532.41,27.17,5.67, 2.13
Tier 1: Hard,πŸ”‘ Llama3.1-405B-Instruct,68.59,0.93,551.28,26.71,6.19,2.2
Tier 1: Hard,πŸ”’ Claude-3.5-Sonnet 🚨,74.95,0.65,395.77,22.64,4.03,1.19
Tier 1: Hard,πŸ”’ CommandR+ 🚨,73.15,0.71,440.93,23.55,4.51,1.4
Tier 1: Hard,πŸ”‘ Mistral-Large-2 🚨,75.19,0.67,485.58,23.21,4.09,1.36
Tier 2: Moderate,πŸ”’ GPT4-o,80.72,0.5,624.67,24.42,3.59,0.89
Tier 2: Moderate,πŸ”’ Gemini1.5-Pro,78.02,0.57,565.97,22.16,3.71,0.97
Tier 2: Moderate,πŸ”‘ Llama3.1-70B-Instruct,75.76,0.71,607.44,25.35,4.33,1.76
Tier 2: Moderate,πŸ”‘ Llama3.1-405B-Instruct,75.05,0.7,599.3,25.24,4.74,1.41
Tier 2: Moderate,πŸ”’ Claude-3.5-Sonnet 🚨,79.92,0.54,414.32,22.15,3.32,1.09
Tier 2: Moderate,πŸ”’ CommandR+ 🚨,80.71,0.52,483.32,24.1,3.17,1.09
Tier 2: Moderate,πŸ”‘ Mistral-Large-2 🚨,79.97,0.52,528.44,22.65,3.21,1.02
Tier 3: Easy,πŸ”’ GPT4-o,91.63,0.26,640.84,29.29,2.01,0.53
Tier 3: Easy,πŸ”’ Gemini1.5-Pro,89.86,0.31,551.81,25.6,1.88,0.71
Tier 3: Easy,πŸ”‘ Llama3.1-70B-Instruct,89.3,0.33,607.75,31.38,2.08,0.83
Tier 3: Easy,πŸ”‘ Llama3.1-405B-Instruct,86.57,0.4,599.87,30.12,2.88,0.85
Tier 3: Easy,πŸ”’ Claude-3.5-Sonnet 🚨,89.61,0.3,411.2,26.72,1.49,0.81
Tier 3: Easy,πŸ”’ CommandR+ 🚨,91.65,0.25,499.06,27.95,1.57,0.54
Tier 3: Easy,πŸ”‘ Mistral-Large-2 🚨,92.0,0.25,523.57,27.8,1.8,0.55