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@@ -69,6 +69,18 @@ generated_ids = [
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  ```
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  ## Citation
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  If you find our work helpful, feel free to give us a cite.
 
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  response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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  ```
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+ ## Evaluation
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+
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+ We briefly compare Qwen2-0.5B-Instruct with Qwen1.5-0.5B-Chat. The results are as follows:
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+ | Datasets | Qwen1.5-0.5B-Chat | **Qwen2-0.5B-Instruct** | Qwen1.5-1.8B-Chat | **Qwen2-1.5B-Instruct** |
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+ | :--- | :---: | :---: | :---: | :---: |
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+ | MMLU | 35.0 | **37.9** | 43.7 | **52.4** |
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+ | HumanEval | 9.1 | **17.1** | 25.0 | **37.8** |
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+ | GSM8K | 11.3 | **40.1** | 35.3 | **61.6** |
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+ | C-Eval | 37.2 | **45.2** | 55.3 | **63.8** |
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+ | IFEval (Prompt Strict-Acc.) | 14.6 | **20.0** | 16.8 | **29.0** |
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+
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  ## Citation
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  If you find our work helpful, feel free to give us a cite.