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README.md
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# <b>AceGPT</b>
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AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
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Arabic language domain. This is the repository for the 13B
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## Model Details
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We have released the AceGPT family of large language models, which is a collection of fully fine-tuned generative text models based on LlaMA2, ranging from 7B to 13B parameters. Our models include two main categories: AceGPT and AceGPT-chat. AceGPT-chat is an optimized version specifically designed for dialogue applications. It is worth mentioning that our models have demonstrated superior performance compared to all currently available open-source Arabic dialogue models in multiple benchmark tests. Furthermore, in our human evaluations, our models have shown comparable satisfaction levels to some closed-source models, such as ChatGPT, in the Arabic language.
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## Model Developers
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We are from the School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHKSZ),
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## Variations
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AceGPT
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## Input
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Models input text only.
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## Output
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---
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# <b>AceGPT</b>
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AceGPT is a fully fine-tuned generative text model collection based on LlaMA2, particularly in the
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Arabic language domain. This is the repository for the 13B pre-trained model.
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---
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## Model Details
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We have released the AceGPT family of large language models, which is a collection of fully fine-tuned generative text models based on LlaMA2, ranging from 7B to 13B parameters. Our models include two main categories: AceGPT and AceGPT-chat. AceGPT-chat is an optimized version specifically designed for dialogue applications. It is worth mentioning that our models have demonstrated superior performance compared to all currently available open-source Arabic dialogue models in multiple benchmark tests. Furthermore, in our human evaluations, our models have shown comparable satisfaction levels to some closed-source models, such as ChatGPT, in the Arabic language.
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## Model Developers
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We are from the School of Data Science, the Chinese University of Hong Kong, Shenzhen (CUHKSZ), the Shenzhen Research Institute of Big Data (SRIBD), and the King Abdullah University of Science and Technology (KAUST).
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## Variations
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AceGPT families come in a range of parameter sizes โโ 7B and 13B, each size of model has a base category and a -chat category.
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## Input
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Models input text only.
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## Output
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