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README.md
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🌟 We included all instructions on how to download, use, and reproduce our various kinds of models at [this GitHub repo](https://github.com/Shenzhi-Wang/Llama3-Chinese-Chat). If you like our models, we would greatly appreciate it if you could star our Github repository. Additionally, please click "like" on our HuggingFace repositories. Thank you!
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❗️❗️❗️NOTICE: For optimal performance, we refrain from fine-tuning the model's identity. Thus, inquiries such as "Who are you" or "Who developed you" may yield random responses that are not necessarily accurate.
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# Model Summary
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请注意，这个解法假设输入数据是正确的，即研究材料的数量、行李空间以及每种物品的大小和价值都符合问题描述中的范围。在实际应用中，你可能需要添加额外的错误检查来处理不合法的输入。
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</details>
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❗️❗️❗️NOTICE: For optimal performance, we refrain from fine-tuning the model's identity. Thus, inquiries such as "Who are you" or "Who developed you" may yield random responses that are not necessarily accurate.
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# Updates:
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- 🚀🚀🚀 [May 9, 2024] We're excited to introduce Llama3-70B-Chinese-Chat! Fine-tuned on a mixed Chinese-English dataset of **~100K preference pairs**, its Chinese proficiency **surpasses ChatGPT and matches GPT-4**, as shown by C-Eval and CMMLU results.
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- 🔥 We provide the official Ollama model for the q4_0 GGUF version of Llama3-70B-Chinese-Chat at [wangshenzhi/llama3-70b-chinese-chat-ollama-q4](https://ollama.com/wangshenzhi/llama3-70b-chinese-chat-ollama-q4)! Run the following command for quick use of this model: `ollama run wangshenzhi/llama3-70b-chinese-chat-ollama-q4:latest`.
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- 🔥 We provide the official Ollama model for the q8_0 GGUF version of Llama3-70B-Chinese-Chat at [wangshenzhi/llama3-70b-chinese-chat-ollama-q8](https://ollama.com/wangshenzhi/llama3-70b-chinese-chat-ollama-q8)! Run the following command for quick use of this model: `ollama run wangshenzhi/llama3-70b-chinese-chat-ollama-q8:latest`.
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- 🔥 If you are in China, you can download our model from our [gitee repo](https://ai.gitee.com/wang-shenzhi/llama3-70b-chinese-chat).
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# Model Summary
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请注意，这个解法假设输入数据是正确的，即研究材料的数量、行李空间以及每种物品的大小和价值都符合问题描述中的范围。在实际应用中，你可能需要添加额外的错误检查来处理不合法的输入。
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</details>
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# Acknowledgement
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Thanks very much for Chang Liu's assistance in collecting examples.
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