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JustinLin610
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@@ -38,7 +38,7 @@ The following sections include information that you might find it helpful. Speci
In general, Qwen-7B outperforms the baseline models of a similar model size, and even outperforms larger models of around 13B parameters, on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, HumanEval, and WMT22, CMMLU, etc., which evaluate the models' capabilities on natural language understanding, mathematic problem solving, coding, etc. See the results below.
Ω| Model | MMLU | C-Eval | GSM8K | HumanEval | WMT22 (en-zh) | CMMLU |
| Model | MMLU | C-Eval | GSM8K | HumanEval | WMT22 (en-zh) | CMMLU |
|:------------------|:--------:|:--------:|:--------:|:---------:|:-------------:|:--------:|
| LLaMA-7B | 35.1 | - | 11.0 | 10.5 | 8.7 | - |
| LLaMA 2-7B | 45.3 | - | 14.6 | 12.8 | 17.9 | - |