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ParsBench 9

{ "model_dtype": "", "model_name": "CohereForAI/aya-23-8B", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.285 }, "ParsiNLU Entailment": { "Exact Match": 0.395 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.318 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.675 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.35 }, "Persian News Summary": { "Persian Rouge": 0.252 }, "FarsTail Entailment": { "Exact Match": 0.467 }, "Persian Math": { "Math Equivalence": 0.36 } }

{ "model_dtype": "", "model_name": "JabirLLM-400B", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.29 }, "ParsiNLU Entailment": { "Exact Match": 0.675 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.366 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.777 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.405 }, "Persian News Summary": { "Persian Rouge": 0.407 }, "FarsTail Entailment": { "Exact Match": 0.897 }, "Persian Math": { "Math Equivalence": 0.52 } }

{ "model_dtype": "", "model_name": "MehdiHosseiniMoghadam/AVA-Llama-3-V2", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.225 }, "ParsiNLU Entailment": { "Exact Match": 0.428 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.26 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.569 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.059 }, "Persian News Summary": { "Persian Rouge": 0.275 }, "FarsTail Entailment": { "Exact Match": 0.217 }, "Persian Math": { "Math Equivalence": 0.434 } }

{ "model_dtype": "", "model_name": "PartAI/Dorna-Llama3-8B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.235 }, "ParsiNLU Entailment": { "Exact Match": 0.411 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.265 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.61 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.246 }, "Persian News Summary": { "Persian Rouge": 0.23 }, "FarsTail Entailment": { "Exact Match": 0.408 }, "Persian Math": { "Math Equivalence": 0.423 } }

{ "model_dtype": "", "model_name": "Qwen/Qwen2-72B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.285 }, "ParsiNLU Entailment": { "Exact Match": 0.793 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.236 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.694 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.308 }, "Persian News Summary": { "Persian Rouge": 0.3 }, "FarsTail Entailment": { "Exact Match": 0.833 }, "Persian Math": { "Math Equivalence": 0.737 } }

{ "model_dtype": "", "model_name": "Qwen/Qwen2-7B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.395 }, "ParsiNLU Entailment": { "Exact Match": 0.544 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.229 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.639 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.316 }, "Persian News Summary": { "Persian Rouge": 0.27 }, "FarsTail Entailment": { "Exact Match": 0.446 }, "Persian Math": { "Math Equivalence": 0.6 } }

{ "model_dtype": "", "model_name": "claude-3-5-sonnet-20240620", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.505 }, "ParsiNLU Entailment": { "Exact Match": 0.851 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.216 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.496 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.181 }, "Persian News Summary": { "Persian Rouge": 0.333 }, "FarsTail Entailment": { "Exact Match": 0.944 }, "Persian Math": { "Math Equivalence": 0.851 } }

{ "model_dtype": "", "model_name": "google/gemma2-9b-it", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.305 }, "ParsiNLU Entailment": { "Exact Match": 0.609 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.304 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.779 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.3 }, "Persian News Summary": { "Persian Rouge": 0.36 }, "FarsTail Entailment": { "Exact Match": 0.787 }, "Persian Math": { "Math Equivalence": 0.702 } }

{ "model_dtype": "", "model_name": "gpt-3.5-turbo", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.035 }, "ParsiNLU Entailment": { "Exact Match": 0.432 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.343 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.681 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.36 }, "Persian News Summary": { "Persian Rouge": 0.314 }, "FarsTail Entailment": { "Exact Match": 0.366 }, "Persian Math": { "Math Equivalence": 0.589 } }

{ "model_dtype": "", "model_name": "gpt-4-turbo", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.135 }, "ParsiNLU Entailment": { "Exact Match": 0.75 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.377 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.777 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.399 }, "Persian News Summary": { "Persian Rouge": 0.348 }, "FarsTail Entailment": { "Exact Match": 0.828 }, "Persian Math": { "Math Equivalence": 0.811 } }

{ "model_dtype": "", "model_name": "gpt-4o", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.31 }, "ParsiNLU Entailment": { "Exact Match": 0.771 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.349 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.752 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.431 }, "Persian News Summary": { "Persian Rouge": 0.35 }, "FarsTail Entailment": { "Exact Match": 0.893 }, "Persian Math": { "Math Equivalence": 0.823 } }

{ "model_dtype": "", "model_name": "gpt-4o-mini", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.24 }, "ParsiNLU Entailment": { "Exact Match": 0.733 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.341 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.734 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.389 }, "Persian News Summary": { "Persian Rouge": 0.335 }, "FarsTail Entailment": { "Exact Match": 0.85 }, "Persian Math": { "Math Equivalence": 0.781 } }

{ "model_dtype": "", "model_name": "meta-llama/Meta-Llama-3-70B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.37 }, "ParsiNLU Entailment": { "Exact Match": 0.542 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.326 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.794 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.254 }, "Persian News Summary": { "Persian Rouge": 0.358 }, "FarsTail Entailment": { "Exact Match": 0.738 }, "Persian Math": { "Math Equivalence": 0.68 } }

{ "model_dtype": "", "model_name": "meta-llama/Meta-Llama-3.1-8B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.035 }, "ParsiNLU Entailment": { "Exact Match": 0.462 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.301 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.734 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.29 }, "Persian News Summary": { "Persian Rouge": 0.303 }, "FarsTail Entailment": { "Exact Match": 0.409 }, "Persian Math": { "Math Equivalence": 0.537 } }

{ "model_dtype": "", "model_name": "meta-llama/Meta-Llama-3-8B-Instruct", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0.215 }, "ParsiNLU Entailment": { "Exact Match": 0.481 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.282 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.704 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.251 }, "Persian News Summary": { "Persian Rouge": 0.09 }, "FarsTail Entailment": { "Exact Match": 0.342 }, "Persian Math": { "Math Equivalence": 0.497 } }

{ "model_dtype": "", "model_name": "universitytehran/PersianMind-v1.0", "model_sha": "" }

{ "Persian MMLU": { "Exact Match": 0 }, "ParsiNLU Entailment": { "Exact Match": 0.011 }, "ParsiNLU Machine Translation En Fa": { "Persian Sentence Bleu": 0.296 }, "ParsiNLU Reading Comprehension": { "Common Tokens": 0.5 }, "ParsiNLU Machine Translation Fa En": { "English Sentence Bleu": 0.26 }, "Persian News Summary": { "Persian Rouge": 0.359 }, "FarsTail Entailment": { "Exact Match": 0.313 }, "Persian Math": { "Math Equivalence": 0.376 } }