So yeah, are any of the top 7b models right now up there because they're actually good models, or nearing 70b level? And why is the effectiveness of fine-tuning so different depending on the benchmark?īest fine-tune of each benchmark compared to Mistral base:ĪRC: +10, Hellaswag: +3, MMLU: +1, TruthfulQA: +23, Winogrande: +3, GSM8K: +34. I know that most teams (other than chinese companies) are experimenting on smaller models right now for cost and time efficiency, but they can't be making this much progress can they? Are all of the models listed above just cheating at the benchmarks? And why are the models not able to get good MMLU scores? You can also see on the leaderboard that the obviously contaminated tigerbot model is getting benchmarks of 98, but has a low MMLU.

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