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  </h4>
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- Aquila Language Model is the first open source language model that supports both Chinese and English knowledge, commercial license agreements, and compliance with domestic data regulations.
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- - 🌟 **Supports open source commercial licenses**. The source code of the Aquila series models is based on the [Apache 2.0 agreement](https://www.apache.org/licenses/LICENSE-2.0), while the model weight is based on the [BAAI Aquila Model License Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf). Users can use it for commercial purposes as long as they meet the licensing restrictions.
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- - ✍️ **Possesses Chinese and English knowledge**. The Aquila series model is trained from scratch on a high-quality corpus of Chinese and English languages, with Chinese corpora accounting for about 40%, ensuring that the model accumulates native Chinese world knowledge during the pre-training phase, rather than translated knowledge.
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- - 👮‍♀️ **Complies with domestic data regulations**. The Chinese corpora of the Aquila series models come from Intelligence Source's accumulated Chinese datasets over the years, including Chinese internet data from over 10,000 sources (more than 99% of which are domestic sources), as well as high-quality Chinese literature and book data supported by authoritative domestic organizations. We will continue to accumulate high-quality and diverse datasets and incorporate them into the subsequent training of the Aquila base models.
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- - 🎯 **Continuous improvements and open sourcing**. We will continue to improve training data, optimize training methods, and enhance model performance, cultivate a flourishing "model tree" on a better base model foundation, and continuously update open-source versions.
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- The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels.
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  ## Chat Model Performance
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@@ -41,7 +35,7 @@ The additional details of the Aquila model will be presented in the official tec
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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  device = torch.device("cuda")
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- model_info = "BAAI/AquilaChat-7B"
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  tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
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  model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
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  model.eval()
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  ## License
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- AquilaChat-7B and AquilaChat-33B open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf)
 
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  </p>
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  </h4>
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+ # 悟道·天鹰(Aquila2)
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+ 我们开源了我们的 **Aquila2** 系列,现在包括基础语言模型 **Aquila2-7B** **Aquila2-34B** ,对话模型 **AquilaChat2-7B** **AquilaChat2-34B**,长文本对话模型**AquilaChat2-7B-16k** **AquilaChat2-34B-16k**
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+ 悟道 · 天鹰 Aquila 模型的更多细节将在官方技术报告中呈现。请关注官方渠道更新。
 
 
 
 
 
 
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  ## Chat Model Performance
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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  import torch
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  device = torch.device("cuda")
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+ model_info = "BAAI/AquilaChat2-7B"
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  tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
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  model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
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  model.eval()
 
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  ## License
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+ AquilaChat2-7B open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf)