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@@ -11,7 +11,6 @@ license: apache-2.0
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  Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
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- - Pretrained on our **latest large-scale dataset**, encompassing up to **18T tokens**.
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  - Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains.
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  - Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots.
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  - **Long-context Support** up to 128K tokens and can generate up to 8K tokens.
@@ -40,7 +39,7 @@ With `transformers<4.37.0`, you will encounter the following error:
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  KeyError: 'qwen2'
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  ```
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- ## Evaultion & Performance
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  Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen2.5/).
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  Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
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  - Significantly **more knowledge** and has greatly improved capabilities in **coding** and **mathematics**, thanks to our specialized expert models in these domains.
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  - Significant improvements in **instruction following**, **generating long texts** (over 8K tokens), **understanding structured data** (e.g, tables), and **generating structured outputs** especially JSON. **More resilient to the diversity of system prompts**, enhancing role-play implementation and condition-setting for chatbots.
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  - **Long-context Support** up to 128K tokens and can generate up to 8K tokens.
 
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  KeyError: 'qwen2'
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  ```
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+ ## Evaluation & Performance
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  Detailed evaluation results are reported in this [📑 blog](https://qwenlm.github.io/blog/qwen2.5/).
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