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README.md
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We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aquila2-7B** and **Aquila2-34B**, as well as **AquilaChat2**, the chat models, namely **AquilaChat2-7B** and **AquilaChat2-34B**, as well as the long-text chat models, namely **AquilaChat2-7B-16k** and **AquilaChat2-34B-16k**
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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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2023.10.25 🔥 **Aquila2-34B v1.2** is based on the previous **Aquila2-34B**.
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The Aquila2-34B has achieved a 6.9% improvement in comprehensive evaluations, with MMLU(+12%), TruthfulQA(+14%), CSL(+11%), TNEWS(+12%), OCNLI(+28%), and BUSTM(+18%).
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## Chat Model Performance
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💻 <a href="https://github.com/FlagAI-Open/Aquila2" target="_blank">Github</a> • 🐦 <a href="https://twitter.com/BAAIBeijing" target="_blank">Twitter</a> <br>
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👋 Join our <a href="https://github.com/FlagAI-Open/Aquila2/blob/main/assets/wechat-qrcode.jpg" target="_blank">WeChat</a>
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</p>
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We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aquila2-7B** and **Aquila2-34B**, as well as **AquilaChat2**, the chat models, namely **AquilaChat2-7B** and **AquilaChat2-34B**, as well as the long-text chat models, namely **AquilaChat2-7B-16k** and **AquilaChat2-34B-16k**
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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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2023.10.25 🔥 **Aquila2-34B v1.2** is based on the previous **Aquila2-34B**.
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The Aquila2-34B has achieved a 6.9% improvement in comprehensive evaluations, with MMLU(+12%), TruthfulQA(+14%), CSL(+11%), TNEWS(+12%), OCNLI(+28%), and BUSTM(+18%).
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## Chat Model Performance
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