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Qwen-14B and Qwen-7B (this is the new version trained with more tokens and the context length is extended from 2048 to 8192) outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models' capabilities on natural language understanding, mathematic problem solving, coding, etc. However, even Qwen-14B still significantly fall behind GPT-3.5, let alone GPT-4. See the results below.
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