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XiYanSQL-QwenCoder-7B-2504

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@@ -33,12 +33,12 @@ In this evaluation, we have also added **a real-world SQL benchmark (the DW test
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  | **Model** | **Download Latest** |
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  |-----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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- |XiYanSQL-QwenCoder-3B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-3B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-3B-2504) |
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  |XiYanSQL-QwenCoder-7B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-7B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-7B-2504) |
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- |XiYanSQL-QwenCoder-14B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-14B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-14B-2504) |
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  |XiYanSQL-QwenCoder-32B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-32B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-32B-2504) |
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  ## Performance
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  The XiYanSQL-QwenCoder models, as multi-dialect SQL base models, demonstrating robust SQL generation capabilities. The following presents the evaluation results at the time of release. We conducted a comprehensive evaluation of the model's performance under two schema formats, M-Schema, and original DDL, using the BIRD and Spider as SQLite benchmarks in the Text-to-SQL domain, as well as DW benchmarks for PostgreSQL and MySQL dialects.
 
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  | **Model** | **Download Latest** |
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  |-----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
 
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  |XiYanSQL-QwenCoder-7B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-7B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-7B-2504) |
 
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  |XiYanSQL-QwenCoder-32B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-32B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-32B-2504) |
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+ <!-- |XiYanSQL-QwenCoder-3B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-3B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-3B-2504) |
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+ |XiYanSQL-QwenCoder-14B | 🤗[HuggingFace](https://huggingface.co/XGenerationLab/XiYanSQL-QwenCoder-14B-2504) 🤖[Modelscope](https://www.modelscope.cn/models/XGenerationLab/XiYanSQL-QwenCoder-14B-2504) |
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  ## Performance
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  The XiYanSQL-QwenCoder models, as multi-dialect SQL base models, demonstrating robust SQL generation capabilities. The following presents the evaluation results at the time of release. We conducted a comprehensive evaluation of the model's performance under two schema formats, M-Schema, and original DDL, using the BIRD and Spider as SQLite benchmarks in the Text-to-SQL domain, as well as DW benchmarks for PostgreSQL and MySQL dialects.