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AquilaCode-py

Text Generation
Transformers
PyTorch
aquila
Inference Endpoints
Model card Files Community
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@@ -39,10 +39,10 @@ The additional details of the Aquila model will be presented in the official tec
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  We will continue to release improved versions of Aquila model as open source.
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  - 2023/07/14 ：release v0.8
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- - Aquila-7B-01 md5: b14329f7314c05dd79d44b2838c315aa
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- - Aquila-7B-02 md5: 88aa286283c7b7dd78c0fbb7fae6327d
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- - AquilaChat-7B-01 md5: 0a77901af35d3e5ed16eeafa622e2173
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- - AquilaChat-7B-02 md5: 6e84423fe2837c79c0ced6817c316bd4
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  Aquila-7B v0.8 has shown improvements in the FlagEval large model evaluation ("Objective") compared to version 0.7. It achieved improvements of approximately 10.07% on MMLU_Chinese, 14.84% on TruthfulQA, and 7.94% on MMLU datasets. For detailed evaluation results, please refer to the website http://flageval.baai.ac.cn.
 
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  We will continue to release improved versions of Aquila model as open source.
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  - 2023/07/14 ：release v0.8
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+ - AquilaCode-mutil-01 md5: e202e5b82db773ea369fe843fef1c34c
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+ - AquilaCode-mutil-02 md5: 3923b2b020e2af71755b11248076437f
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+ - AquilaCode-Python-01 md5: e202e5b82db773ea369fe843fef1c34c
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+ - AquilaCode-Python-02 md5: 3923b2b020e2af71755b11248076437f
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  Aquila-7B v0.8 has shown improvements in the FlagEval large model evaluation ("Objective") compared to version 0.7. It achieved improvements of approximately 10.07% on MMLU_Chinese, 14.84% on TruthfulQA, and 7.94% on MMLU datasets. For detailed evaluation results, please refer to the website http://flageval.baai.ac.cn.